Comparing Business, Innovation, and Platform Ecosystems: A Systematic Review of the Literature

In recent decades, the term "ecosystem" has garnered substantial attention in scholarly and managerial discourse, featuring prominently in academic and applied contexts. While individual scholars have made significant contributions to the study of various types of ecosystem, there appears to be a research gap marked by a lack of comprehensive synthesis and refinement of findings across diverse ecosystems. This paper systematically addresses this gap through a hybrid methodology, employing bibliometric and content analyses to systematically review the literature from 1993 to 2023. The primary research aim is to critically examine theoretical studies on different ecosystem types, specifically focusing on business, innovation, and platform ecosystems. The methodology of this study involves a content review of the identified literature, combining quantitative bibliometric analyses to differentiate patterns and content analysis for in-depth exploration. The core findings center on refining and summarizing the definitions of business, innovation, and platform ecosystems, shedding light on both commonalities and distinctions. Notably, the research unveils shared characteristics such as openness and diversity across these ecosystems while highlighting significant differences in terms of participants and objectives. Furthermore, the paper delves into the interconnections within these three ecosystem types, offering insights into their dynamics and paving the way for discussions on future research directions. This comprehensive examination not only advances our understanding of business, innovation, and platform ecosystems but also lays the groundwork for future scholarly inquiries in this dynamic and evolving field.

Multi-group symbiotic evolutionary mechanisms of a digital innovation ecosystem: Numerical simulation and case study

In the digital innovation ecosystem, the symbiosis mode formed between ecosystem members not only relates to their survival and development but also affects the ecosystem's symbiosis evolution mechanism. Based on symbiosis theory, this study first explores the evolutionary equilibrium strategy and its stability for three types of populations-core enterprises, digital platforms, and university research institutes-and then uses numerical simulation and a case study to explore the symbiotic evolution mechanism of the digital innovation ecosystem. The results show that: First, the digital innovation ecosystem is a complex adaptive system in which the three types of populations form different symbiotic relationships under different symbiotic modes and conduct symbiotic activities, such as value co-creation, to characterize the unique symbiotic evolutionary structure. Second, in this ecosystem, the symbiotic relationship formed by the combined values of different symbiotic coefficients between populations determines the outcome of symbiotic evolution. Third, the ideal direction of the evolution of the digital innovation ecosystem is a mutually beneficial symbiotic relationship. Thus, the symbiotic relationship between populations should be transformed into a mutually beneficial symbiotic relationships as much as possible. This study makes theoretical contributions by shedding light on the symbiotic evolution mechanism of the digital innovation ecosystem. It also offers countermeasures for the digital innovation cooperation of various stakeholders in China's digital innovation ecosystem.

A Bibliometric Review of Constituents, Themes, and Trends in Online Medical Consultation Research

As an emerging form of health care with accelerated growth in recent years, online medical consultation (OMC) has received extensive attention worldwide. Although the number of studies on OMC has increased substantially, few provide a comprehensive and up-to-date review of OMC's research constituents, themes, and trends. This study, therefore, extracted 1,801 OMC-related articles published in English from the Web of Science (WoS) Core Collection database during the past 30 years and employed a bibliometric analysis of WoS and CiteSpace to examine major constituents' distribution, collaboration relationships, themes, and trends. The results indicate that the United States, England, and China contributed the most to the proliferation of OMC studies. The United States had the greatest academic influence and the most collaborative connections, while China demonstrated the sharpest increase and most active development in recent years. However, there is a lack of substantial and close collaboration between researchers worldwide. The main themes of OMC research were Internet hospitals, COVID-19, mixed methods, online health community, and information technology. Researchers have recently shifted their attention to social media, management, efficacy, word of mouth, mental health, and anxiety. This review paper provides researchers and practitioners with a holistic and clear understanding of the features and trends of OMC research. It also identifies potential areas for future OMC research and sheds light on OMC practices.

Smart home automation technology to support caring of individuals with Alzheimer's disease and related dementia: an early intervention framework

PURPOSE

Home automation technology comprising of Internet of Things and Smart gadgets is a rapidly growing industry that is projected to have a major scope for ageing-in-place and caregiving. This study examined the feasibility and cost-benefits of a personalized home automation intervention for care of individuals with Alzheimer's disease and related dementia (ADRD) with emphasis on their safety and independence, and reduction of care burden.

METHODS

A mixed method intervention study was conducted with five dyads each comprising of a caregiver and care recipient with ADRD. Each dyad received personalized home automation intervention with individualized goals centred on home safety, activity engagement, and caregiver-recipient connectivity. The goals were created and monitored using goal attainment scaling (GAS). The dyads were followed up after three months with a home visit and interview. Goal attainment scoring and thematic analysis of the interviews were conducted to examine the findings from the study.

RESULTS

All dyads indicated positive goal attainment between pre and post intervention. Goals that were met were complimented by the categories of peace of mind, self-efficacy, and care recipient engagement, while unmet goals as well as complexities with the technology were elucidated under challenges. Overarching and conceptually linked themes from the study were unfamiliarity, value, and timing.

CONCLUSION

Home automation technology has the potential to be adapted to promote independence and safety of individuals with ADRD while relieving care burden. Nonetheless, we propose an early intervention framework to overcome identified challenges and optimize the technology's usability and sustainability.IMPLICATIONS FOR REHABILITATIONHome automation involving Internet of Things and Smart gadgets has gained rapid popularity owing to the comfort and connectivity they provide to mainstream consumers.The technology has an emerging significance to ageing-in-place and care of individuals with Alzheimer's Disease and Related Dementia (ADRD) as it can be adapted and implemented to enhance home safety and activity engagement of the care recipients while also strengthening their connectivity with the caregivers.Unfamiliarity with the technology compounded by the progression of ADRD can, however, be detrimental to its adoption.Individualized focus and early integration of the technology for caregiver-care recipient dyads can mitigate these challenges and optimize its usability and long-term value in relation to ageing-in-place and caregiver wellbeing.

Evaluation of a motorised patient transfer device based on perceived workload, technology acceptance, and emotional states

PURPOSE

The high prevalence of musculoskeletal disorders (MSDs) among healthcare workers is partly attributed to the low adoption of patient transfer assistive devices. This study aimed to evaluate the nurses' perceived workload, technology acceptance, and emotional states during the use of the sliding board (SB) and mechanical intervention in the form of a Motorised Patient Transfer Device (MPTD).

METHODS

The SB and MPTD activities were performed by seven nurses on a simulated patient. The nurses' facial expressions were recorded during the trial. The NASA Task Load Index and technology acceptance questionnaire were also assessed.

RESULTS

The MPTD significantly reduced the mean overall NASA-TLX score by 68.7% (p = 0.004) and increased the overall acceptance score (median = 8.30) by 21.2% (p = 0.016) when compared to the SB (median = 6.85). All the subjects reported positive feelings towards MPTD. However, facial expression analysis showed that the nurses had a significantly higher peak density of fear while using MPTD (p = 0.016). Besides, there was no improvement in the negative valence and contempt emotion compared to the SB.

CONCLUSION

Overall, nurses showed positive perceptions and acceptance of MPTD even when they experienced negative emotions.IMPLICATIONS FOR REHABILITATIONThe Motorised Patient Transfer Device (MPTD) reduced the perceived workload of nurses and showed a higher acceptance level compared to the commonly used baseline device (SB).Factors that attributed to the nurses' negative emotions can be used to improve technology and patient transfer processes.More training should be given to familiarise the health practitioners with the new assistive device to reduce their fear of technology.

More powerful parameter tests? No, rather biased parameter estimates. Some reflections on path analysis with weighted composites

Recently, a study compared the effect size and statistical power of covariance-based structural equation modeling (CB-SEM) and path analysis using various types of composite scores (Deng, L., & Yuan, K.-H., Behavior Research Methods, 55, 1460-1479, 2023). This comparison uses nine empirical datasets to estimate eleven models. Based on the meta-comparison, that study concludes that path analysis via weighted composites yields "path coefficients with less relative errors, as reflected by greater effect size and statistical power" (ibidem, p. 1475). In our paper, we object to this central conclusion. We demonstrate that the justification these authors provided for comparing CB-SEM and path analysis via weighted composites is not well grounded. Similarly, we explain that their employed study design, i.e., a meta-comparison, is very limited in its ability to compare the effect size and power delivered across these methods. Finally, we replicated Deng and Yuan's (ibidem) meta-comparison and show that CB-SEM using the normal-distribution-based maximum likelihood estimator does not necessarily deliver smaller effect sizes than path analysis via composites if a different scaling method is employed for CB-SEM.

The rehabilitation robot: factors influencing its use, advantages and limitations in clinical rehabilitation

PURPOSE

Despite the proven effectiveness of rehabilitation robots (RR) in the literature, they are still little used in clinical rehabilitation. The aim of this study was to analyse the factors influencing the use of RR and the perception of therapists who used RR.

METHOD

In order to characterize the factors influencing the use of RR by therapists, a semi-structured interview was conducted with 18 therapists. These interviews are based on an interview guide inspired by the Unified Theory of Acceptance and Use of Technology model. The interviews were recorded and then transcribed, summarized and finally synthesized cross-sectionally. In addition and in parallel, the System Usability Scale (SUS) was also proposed to clinicians in order to collect quantitative data.

RESULTS

The interviews highlight the facilitators perceived by the therapists, such as the intensity of the movement, the complementarity with conventional rehabilitation. The results also showed the possible barriers perceived, these can be sometimes inconclusive (e.g., bugs). The SUS results show no effect, either on the gender of the users, their therapists, or the duration of use of the tool.

CONCLUSION

Better communication on the functionality of the robot and the construction of achievable goals would lead to more results that are conclusive but also better patient care. To date, and despite the evidence for the effectiveness of RRs, therapists believe that there are still many barriers to their use. They agree, however, that if changes are made, RRs will become an integral part of therapy.IMPLICATIONS FOR REHABILITATIONThe study idenfied and highlighted the factors influencing the use of the rehabilitation robot in the clinics through metric and ergonomic evaluations.The study allowed to quantify the level of acceptance of the Lokomat among therapists.This study allowed to identify negative factors that could be resolved through the implementation of a structured and generalized protocol for patients and thus improve their care.

Exploring the relationship between digital transformation and green innovation: The mediating role of financing modes

Green innovation is important and beneficial for the green development of enterprises. The development of digital technology could improve the asymmetry of information and affect the enterprise's financing modes. Currently, a definitive conclusion about the relationship between the digital transformation and green technology innovation has not reached. Additionally, studies have not yet fully explored the impact pathways of corporate digital transformation on green innovation through corporate financing modes. To fill this void, this study collected data of Chinese A-share listed companies from 2010 to 2020. The empirical analysis results showed that digital transformation significantly enhanced enterprises' green innovation abilities. Furthermore, mediating models were utilized to explore how enterprise financing modes mediate the impact of digital transformation on the enterprise green innovation. Results indicated that through internal financing and bank loans as "bridges", digital transformation promoted enterprise green innovation. However, digital transformation did not have a significant impact on enterprise green innovation through venture capital. Moreover, heterogeneity analyses revealed significant differences among different groups of enterprises. This study expands the research field related to digital transformation and enterprise green innovation by providing empirical evidence to uncover the impact of digital transformation on enterprise green innovation. Findings of this study contribute not only to enterprise managerial decision-makers to better leverage digital transformation through corporate financing to accelerate green innovation, but also to government policymakers to design policies to stimulate enterprise green innovation.

Machine learning and user interface for cyber risk management of water infrastructure

With the continuous modernization of water plants, the risk of cyberattacks on them potentially endangers public health and the economic efficiency of water treatment and distribution. This article signifies the importance of developing improved techniques to support cyber risk management for critical water infrastructure, given an evolving threat environment. In particular, we propose a method that uniquely combines machine learning, the theory of belief functions, operational performance metrics, and dynamic visualization to provide the required granularity for attack inference, localization, and impact estimation. We illustrate how the focus on visual domain-aware anomaly exploration leads to performance improvement, more precise anomaly localization, and effective risk prioritization. Proposed elements of the method can be used independently, supporting the exploration of various anomaly detection methods. It thus can facilitate the effective management of operational risk by providing rich context information and bridging the interpretation gap.

What's that on Your Phone? Effects of Mobile Device Task Type on Pedestrian Performance

BACKGROUND

The number of accidents due to distracted pedestrian is on the rise and many governments and institutions are enacting public policies which restrict texting while walking. However, pedestrians do more than just texting when they use their mobile devices on the go.

OBJECTIVE

Exploring pedestrian multitasking, this paper aims to examine the effects of mobile device task type on pedestrian performance outcomes.

METHOD

We performed two studies in lab simulations where 78 participants were asked to perform different tasks on a mobile device (playing a game, reading, writing an email, texting one person, group texting) while performing a pedestrian visual discrimination task while either standing or walking on a treadmill. Behavioral performance as well as neurophysiological data are collected.

RESULTS

Results show that compared to a no-phone control, multitasking with any of the tasks on a mobile device leads to poor performance on a pedestrian visual discrimination task. Playing a game is the most cognitively demanding task and leads to the greatest performance degradation.

CONCLUSION

Our studies show that multitasking with a mobile device has the potential to negatively impact pedestrian safety, regardless of task type. However, the impacts of different mobile device tasks are not all equivalent. More research is needed to tease out the different effects of these various tasks and to design mobile applications which effectively and safely capture pedestrians' attention.

APPLICATION

Public policy, infrastructure, and smart technologies can be used to mitigate the negative effects of mobile multitasking. A more thorough understanding of mobile device task-specific factors at play can help tailor these counter-measures to better aid distracted pedestrians.

Using fs/QCA to explore the influencing factors of urban green infrastructure development and its combinational drivers: the case of the Yangtze River Delta region of China

High levels of urban green infrastructure (UGI) development can help mitigate the climate, biodiversity, and habitat crises faced by cities and support the achievement of sustainable urban development. Based on the relevant data of 41 cities in the Yangtze River Delta region obtained from 2011 to 2020, this study measured the development level of natural and geographic conditions, economic development, urban construction, social and cultural development, and eco-environment quality and urban green infrastructure (UGI); evaluated the development trend of UGI in the region during the 12th Five-Year Plan and 13th Five-Year Plan by using entropy TOPSIS; and used fs/QCA to explain the high-level development path of each city toward the achievement of a green infrastructure. The results showed that (1) the development level of UGI in the Yangtze River Delta region decreases from southeast to northwest, and gradually decreases from Shanghai, Hangzhou, and other central cities. (2) There were several different configurations of high levels and non-high levels of UGI development drivers across regions, confirming the existence of multiple causality and asymmetry indices in the drivers of UGI. (3) During the "12th Five-Year Plan" and the "13th Five-Year Plan" period, the conditions needed to achieve a high level of UGI gradually became stricter, expanding from nature-social culture and urban construction-eco-environmental drivers to nature-urban construction, nature-social culture-eco-environmental, urban construction-economy-social culture-eco-environmental drivers. Research findings can provide greater guidance and implications for future sustainable urban development.

Scholarly communication between health informatics and information systems: A bibliometric study

The challenges of IT adoption in the healthcare sector have generated much interest across a range of research communities, including Information Systems (IS) and Health Informatics (HI). Given their long-standing interest in IT design, development, implementation, and adoption to improve productivity and support organisational transformation, the IS and HI fields are highly correlated in their research interests. Nevertheless, the two fields serve different academic audiences, have different research foci, and theorise IT artifacts differently. We investigate the dyadic relationship between health information systems (HIS) research in IS and HI through the communication patterns between the two fields. We present the citation analysis results of HIS research published in IS and HI journals between 2000 and 2020. The results revealed that despite the two fields sharing a common interest, communication between them is limited and only about specific topics. Potentially relevant ideas and theories generated in IS have not yet been sufficiently recognised by HI scholars and incorporated into the HI literature. However, the upward trend of HIS publications in IS indicates that IS has the potential to contribute more to HI.

Designing electronic graphic symbol-based AAC systems: a scoping review. Part 1: system description

PURPOSE

This is the first of two papers summarizing studies reporting on the design of electronic graphic symbol-based augmentative and alternative communication (AAC) systems, to determine the state of the field. The aim of this paper was to provide an overview of the general characteristics of the studies and to describe the features of the systems designed.

METHODS

A scoping review was conducted. A multifaceted search resulted in the identification of 28 studies meeting the selection criteria. Data were extracted relating to four areas of interest, namely (1) the general characteristics of the studies, (2) features of the systems designed, (3) availability of the systems to the public, and (4) the design processes followed. In this paper, findings relating to the first three areas are presented.

RESULTS

Most study authors were affiliated to fields of engineering and/or computer science and came from high-income countries. Most studies reported the design of AAC applications loaded onto mobile technology devices. Common system features included customizable vocabulary items, the inclusion of graphic symbols from both established AAC libraries and other sources, a dynamic grid display, and the inclusion of digital and/or synthetic speech output. Few systems were available to the public.

CONCLUSIONS

Limited justifications for many of the complex design decisions were provided in the studies, possibly due to limited involvement of rehabilitation professionals during the design process. Furthermore, few studies reported on the design of graphic symbol-based AAC systems specifically for middle- and low-income contexts and also for multilingual populations.Implications for rehabilitationComplex design decisions about electronic graphic symbol-based augmentative and alternative communication (AAC) systems should be made purposefully and with sufficient justification.Increased collaboration between designers and rehabilitation professionals during the design of electronic graphic symbol-based systems could improve the products.Design of AAC systems for populations residing in low and middle-income contexts and also for multilingual populations are urgently needed.

PRimary carE digital Support ToOl in mental health (PRESTO): Design, development and study protocols

BACKGROUND

About 30-50% of Primary Care (PC) users in Spain suffer mental health problems, mostly mild to moderate anxious and depressive symptoms, which account for 2% of Spain's total Gross domestic product and 50% of the costs associated to all mental disorders. Mobile health tools have demonstrated to cost-effectively reduce anxious and depressive symptoms while machine learning (ML) techniques have shown to accurately detect severe cases. The main aim of this project is to develop a comprehensive ML digital support platform (PRESTO) to cost-effectively screen, assess, triage, and provide personalized treatments for anxious and depressive symptoms in PC.

METHODS

The project will be carried out in 3 complementary phases: First, a ML predictive severity model will be built based on all the cases referred to the PC mental health support programme during the last 5 years in Catalonia. Simultaneously, a smartphone app to monitor and deliver psychological interventions for anxiety and depressive symptoms will be developed and tested in a clinical trial. Finally, the ML models and the app will be integrated in a comprehensive decision-support platform (PRESTO) which will triage and assign to each patient a specific intervention based on individual personal and clinical characteristics. The effectiveness of PRESTO to reduce waiting times in receiving mental healthcare will be tested in a stepped-wedge cluster randomized controlled trial in 5 PC centres.

DISCUSSION

PRESTO will offer timely and personalized cost-effective mental health treatment to people with mild to moderate anxious and depressive symptoms. This will result in a reduction of the burden of mental health problems in PC and on society as a whole.

TRIAL REGISTRATION

The project and their clinical trials were registered in Clinical Trials.gov: NCT04559360 (September 2020).

Designing electronic graphic symbol-based AAC systems: a scoping review. Part 2: application of human-centred design

PURPOSE

This is the second of two papers summarizing studies reporting on the design of electronic graphic symbol-based augmentative and alternative communication (AAC) systems. The aim of this paper was to describe the design approaches used and to determine to what extent the principles of human-centred design (HCD) were reflected in the design approaches and processes used.

METHODS

A scoping review was conducted. A multifaceted search resulted in the identification of 28 studies meeting the selection criteria. Data were extracted relating to four areas of interest, namely, (1) the general characteristics of the studies, (2) features of the systems designed, (3) availability of the systems to the public and (4) the design processes followed. In this paper, findings related to the last area are presented.

RESULTS

Design approaches were often inconsistently described. User-centred design was mentioned more often than HCD. Even so, various HCD principles were considered in most studies. Notably, stakeholders were involved in the design process in all studies. However, users were not involved in all studies and stakeholder roles were predominantly informative rather than collaborative. Prototype and product evaluations focussed mostly on usability rather than user experience. Although many design teams were multidisciplinary, engineers and computer scientists predominated.

CONCLUSIONS

There is a need for designers to be more transparent about the type of design approach used to guide the system design and also to clearly report on design approaches and processes used. The application of HCD to the design of graphic symbol-based AAC systems is still limited.Implications for rehabilitationHuman-centred design approaches can productively guide the design of electronic graphic symbol-based augmentative and alternative communication (AAC) systems.Creative methods are needed to involve stakeholders with complex communication needs in all phases of the design process.Evaluation of electronic graphic symbol-based AAC systems should consider both usability and user experience.

Effect of emotional factors on purchase intention in live streaming marketing of agricultural products: A moderated mediation model

Emotional factors play a crucial role in streaming live marketing of agricultural products. Some literature explored several emotional factors' impact on consumers' purchase intention. Nonetheless, the interaction and integration effects of these factors have received less attention. Based on Consumer Engagement Theory, SOR model and TAM model, the paper constructs a moderated mediation model of the interactivity/presence, trust/resonance and purchase intention under rural sentiment. A quantitative study based on 365 valid samples is conducted to validate this model. The results indicate that interactivity and presence positively impact on consumers' purchase intention, trust and resonance play a mediating role between interactivity/presence and purchase intention separately. Contrary to our expectations, rural sentiment negatively moderates the relationship between interactivity and resonance. Differences of regression results between urban and rural group indicate that the cultural backgrounds of consumers have an impact on their emotional responses in live streaming of agricultural products. The results illustrate the mechanism of emotional factors in consumers' purchase decisions. Overall, this paper reveals the potential of emotional factors and the development of effective marketing strategies to improve agricultural products sales.

Justice at the Forefront: Cultivating felt accountability towards Artificial Intelligence among healthcare professionals

The advent of AI has ushered in a new era of patient care, but with it emerges a contentious debate surrounding accountability for algorithmic medical decisions. Within this discourse, a spectrum of views prevails, ranging from placing accountability on AI solution providers to laying it squarely on the shoulders of healthcare professionals. In response to this debate, this study, grounded in the mutualistic partner choice (MPC) model of the evolution of morality, seeks to establish a configurational framework for cultivating felt accountability towards AI among healthcare professionals. This framework underscores two pivotal conditions: AI ethics enactment and trusting belief in AI and considers the influence of organizational complexity in the implementation of this framework. Drawing on Fuzzy-set Qualitative Comparative Analysis (fsQCA) of a sample of 401 healthcare professionals, this study reveals that a) focusing justice and autonomy in AI ethics enactment along with building trusting belief in AI reliability and functionality reinforces healthcare professionals' sense of felt accountability towards AI, b) fostering felt accountability towards AI necessitates ensuring the establishment of trust in its functionality for high complexity hospitals, and c) prioritizing justice in AI ethics enactment and trust in AI reliability is essential for low complexity hospitals.

How Is Job Insecurity Related to Workers' Work-Family Conflict during the Pandemic? The Mediating Role of Working Excessively and Techno-Overload

The current labor market is characterized by drastic changes linked to the use of information and communication technologies (ICT) and post-COVID-19 transformations, which have decreased job security and job stability. As a result, the feeling of losing one's job has become even more common among European workers. In this study, we aimed to investigate whether and how job insecurity would be related to work-family conflict during the pandemic. Online self-report questionnaires assessing job insecurity, working excessively, techno-overload, and work-to-family conflict were completed by 266 workers from Italy. Descriptive analyses, confirmatory factor analyses, and structural equation mediation models were conducted. Job insecurity was positively associated with work-to-family conflict, both directly and indirectly, as mediated by techno-overload and a tendency to work excessively. This study advances the literature, as it is the first to identify techno-overload and working excessively as parallel psychological mechanisms linking job insecurity to work-family conflict among Italian workers during the pandemic. Workers could benefit from technological workload monitoring programs, techno effectiveness, and time management training programs. Companies could also consider implementing family-friendly and digital disconnection practices.

Effects of digital transformation on firm performance: The role of IT capabilities and digital orientation

Organisations undertake profound changes to fit in a rapidly evolving digital setting. However, although the IT capabilities of the organisational members play a critical role in this, the mechanism driving IT capabilities towards enhanced firm performance is not fully understood. A theoretical model to analyse the role of digital orientation and digital transformation in this relationship is introduced and tested on a set of 246 firms through the Partial Least Squares-Structural Equation Modeling method (PLS-SEM). This research contributes to the literature by introducing the social aspect to the study of technology management, delving also into the antecedents of digital transformation. Results confirm a positive effect of IT capabilities on firm performance through the development of a digital orientation and the digital transformation of the organisation.

The Underutilization of Mental Health Care Services in the Lives of People with Blindness or Visual Impairment: A Literature Review on Rehabilitation Factors Toward Provision

Purpose

Roughly 3 million adult Americans have a visual impairment or blindness, and over 4 million adults aged 40 and older. Despite data demonstrating an elevated prevalence of mental health symptoms in people with BVI, this population remains largely untreated. Given that people with BVI often interface with multiple systems of rehabilitative care that are designed to improve quality of life, the relatively low rates of initiation of mental health care services are particularly alarming. In this review, the systematic processes of mental health care services across pertinent rehabilitation groups are identified and critically examined.

Patients and Methods

A comprehensive literature review was conducted. The literature review utilized a critical systems typology, whereby relevant literature was selected, reviewed, and analyzed intra and extra organizationally. In addition, a thorough discussion of disability-related factors was provided, lending a socio-political lens to the problem.

Results

Considerable data indicates that short-term mental health care services for people with BVI are ineffective treatment methods, albeit primarily employed in health-rehabilitative processes. Multiple studies offered data indicating the presence of diverse and entangled mental health issues relative to vocational rehabilitation services, mobility tool utility, and emotional reactions to vision loss. Many studies suggested that disability identity work be integrated into health-rehabilitative processes for people with BVI.

Conclusion

To improve the utility of mental health care services for people with BVI, a reenergization of the mental health care needs of this population must occur. A critical podcast or forum focused on educating listeners about the health-rehabilitation factors that influence the provision of mental health care services can aid to improve future mental health policy and practice for people with BVI. Disability scholars need to advance research on integrating critical theories in work with people with BVI and accelerate qualitative, community-based methods to enhance understanding of this population and their unique mental health needs.

Health information needs and feedback of users in the online TCM community

To improve the information service quality of the online Traditional Chinese Medicine (TCM) community, this study investigated users' information needs, feedback and the relationship between them. Using qualitative content analysis, the basic characteristics of users' needs were obtained. Logistic regression was used to explore the impact of different need characteristics of feedback. The main findings are as follows: 1) Disease consultation, health preservation, professional discussion, knowledge sharing and experience description are the major 5 types of information needs in the online TCM community; 2) Some users provided TCM-related information, such as the tongue image and the TCM four diagnosis; 3) A total of 78.8% of the posts received effective feedback, and the main types of feedback were answering, discussing, inquiring and emotional supporting; 4) Providing enough information can significantly and positively affect whether needs receive effective feedback, suggesting that users can present information about their condition in as many different formats as possible when articulating their needs.

Preschool Teachers' Emotional Competence and Teacher Self-Efficacy towards Preschool Performance in Zhejiang Province of China

This study investigates the interplay between emotional competence, self-efficacy, and teaching experience in determining preschool teachers' performance. Drawing on Bandura's Theory of Self-Efficacy, Goleman's Emotional Intelligence Theory, and Bronfenbrenner's Ecological Systems Theory, the research employs a quantitative approach, analyzing responses from preschool teachers in Zhejiang province, China. Key findings reveal that emotional competence significantly predicts teachers' performance and self-efficacy, with self-efficacy further mediating this relationship. Interestingly, while teaching experience moderates the impact of emotional competence on self-efficacy, it does not significantly influence the relationship between self-efficacy and teaching performance. The study underscores the critical role of emotional competence in teaching efficacy and highlights the complexity of how teaching experience interacts with these dynamics. These insights are crucial for developing targeted interventions in teacher training programs, emphasizing emotional skills and self-belief as key drivers of effective teaching in early-childhood education.

The Relationship between Live Sports Learning and Exercise Behavior in College Students: A Serial Mediation Model

Physical exercise is crucial to the development of students' physical and mental health. This study explored the relationship between live sports learning and college students' exercise behaviors, and the mediating roles of exercise motivation and exercise commitment, aiming to provide theoretical bases for the future that explain the mechanism of live sports learning in exercise behaviors, as well as practical guidance for the promotion of positive physical exercise behaviors in college students. In total, 1189 college students from China volunteered to complete questionnaires. The results showed that live sports learning positively predicted college students' exercise behavior and that live sports learning was able to affect exercise behavior through the mediating roles of exercise motivation and exercise commitment, with specific mediating paths including the two independent mediating paths and a serial mediating path of exercise motivation and exercise commitment. This study confirmed, for the first time, on live sports learning in the process of promoting exercise behavior. It is suggested that educators instruct college students to regulate their participation in live sports learning and to cultivate healthy exercise motivation and exercise commitment, which is an effective way to facilitate college students' practice of physical activity.

Low-Fidelity Prototype of a Sensor-Dependent Interaction Platform: Formative Evaluation With Informal Caregivers of Older Adults With Cognitive Impairment

BACKGROUND

Unobtrusive sensing technologies developed for monitoring deviant behaviors in older adult care require integration with an interaction platform to facilitate the flow of information between older adults and their caregivers. However, the continuous monitoring capabilities generate a considerable amount of data that must be interpreted, filtered, and personalized before being communicated to the informal caregivers based on their specific care needs and requirements.

OBJECTIVE

For the effective implementation of unobtrusive sensing solutions (USSs) in the care of older adults with cognitive impairment, we aimed to explore the expectations and preconditions regarding the implementation of USSs from the perspective of informal caregivers. Subsequently, we designed and evaluated a low-fidelity prototype of an interaction platform for its conceptual workflow and usability, incorporating persuasive system design features based on the needs and requirements of informal caregivers.

METHODS

Overall, 6 informal caregivers of older adults with cognitive impairment living alone participated in this qualitative interview study. We explored the expectation and preconditions regarding implementation through open-ended questions and conducted a formative evaluation (usability study with a think-aloud approach) to evaluate the conceptual workflow and used persuasive system design features in the interaction platform. Overall, a combination of inductive and thematic analyses was used to analyze the interviews.

RESULTS

The results of this study present both positive and negative outcome expectations regarding the implementation of USSs, highlighting benefits such as objective decision-making and peace of mind and concerns about information overload and the potential substitution of human contact. Strategic information communication agreements between informal and formal caregivers were deemed crucial for the successful implementation of USSs in care. Overall, informal caregivers had a positive experience with the low-fidelity prototype of the interaction platform, particularly valuing the personalization feature.

CONCLUSIONS

In conclusion, to achieve successful implementation, a holistic design approach is necessary, and equal consideration should be given to the personalization-privacy paradox to balance users' needs and privacy.

Measuring the menu, not the food: "psychometric" data may instead measure "lingometrics" (and miss its greatest potential)

This is a review of a range of empirical studies that use digital text algorithms to predict and model response patterns from humans to Likert-scale items, using texts only as inputs. The studies show that statistics used in construct validation is predictable on sample and individual levels, that this happens across languages and cultures, and that the relationship between variables are often semantic instead of empirical. That is, the relationships among variables are given a priori and evidently computable as such. We explain this by replacing the idea of "nomological networks" with "semantic networks" to designate computable relationships between abstract concepts. Understanding constructs as nodes in semantic networks makes it clear why psychological research has produced constant average explained variance at 42% since 1956. Together, these findings shed new light on the formidable capability of human minds to operate with fast and intersubjectively similar semantic processing. Our review identifies a categorical error present in much psychological research, measuring representations instead of the purportedly represented. We discuss how this has grave consequences for the empirical truth in research using traditional psychometric methods.

Implementation of Digital Faculty Portfolio in Medical College Using an Intervention Mapping Approach

Purpose

The Digital faculty portfolio (DFP) is a well-established Teaching Portfolio, a tool that combines student evaluations with teaching materials, narrative reflections, and evidence of pedagogical effectiveness. The research aimed to test the DFP concept and determine whether faculty find it useful for integrating faculty activities, including teaching and extracurricular activities. Thus, the main aim is to identify key technical details that must be addressed before creating a larger DFP platform.

Methods

This research study adopted a six-step theory- and evidence-based approach of an Intervention Mapping (IM) protocol to assess the need for a DFP-like program at the College of Medicine, King Saud Abdulaziz University for Health Sciences and the efficacy of the pilot DFP program. The study was done in three steps: 1) Evaluation of educational needs; 2) Design of the "DFP" program; and 3) Validation and refinement of the designed program. The college conducted the needs assessment using a validated survey with full-time faculty members. Eighty-two survey participants comprised the sample. We described to them the DFP implementation procedure, design, and advantages.

Results

The DFP is valuable to most users (60%) and has inherent benefits that boost professional competency (80%). Nearly 73% were willing to keep using and/or updating their DFP periodically. The created program was validated by sharing the findings with designated specialists in health professions education. Based on their comments, the program was further refined and ready for piloting.

Conclusion

To maximize the potential of the platform's success, its capabilities should be consistently enhanced in addition to resolving technical issues. This program has managed to effectively identify new avenues for working on enhancing methods for effective communication, coordination and enhance the scope of evaluation process.

Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review

BACKGROUND

Generative artificial intelligence tools and applications (GenAI) are being increasingly used in health care. Physicians, specialists, and other providers have started primarily using GenAI as an aid or tool to gather knowledge, provide information, train, or generate suggestive dialogue between physicians and patients or between physicians and patients' families or friends. However, unless the use of GenAI is oriented to be helpful in clinical service encounters that can improve the accuracy of diagnosis, treatment, and patient outcomes, the expected potential will not be achieved. As adoption continues, it is essential to validate the effectiveness of the infusion of GenAI as an intelligent technology in service encounters to understand the gap in actual clinical service use of GenAI.

OBJECTIVE

This study synthesizes preliminary evidence on how GenAI assists, guides, and automates clinical service rendering and encounters in health care The review scope was limited to articles published in peer-reviewed medical journals.

METHODS

We screened and selected 0.38% (161/42,459) of articles published between January 1, 2020, and May 31, 2023, identified from PubMed. We followed the protocols outlined in the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to select highly relevant studies with at least 1 element on clinical use, evaluation, and validation to provide evidence of GenAI use in clinical services. The articles were classified based on their relevance to clinical service functions or activities using the descriptive and analytical information presented in the articles.

RESULTS

Of 161 articles, 141 (87.6%) reported using GenAI to assist services through knowledge access, collation, and filtering. GenAI was used for disease detection (19/161, 11.8%), diagnosis (14/161, 8.7%), and screening processes (12/161, 7.5%) in the areas of radiology (17/161, 10.6%), cardiology (12/161, 7.5%), gastrointestinal medicine (4/161, 2.5%), and diabetes (6/161, 3.7%). The literature synthesis in this study suggests that GenAI is mainly used for diagnostic processes, improvement of diagnosis accuracy, and screening and diagnostic purposes using knowledge access. Although this solves the problem of knowledge access and may improve diagnostic accuracy, it is oriented toward higher value creation in health care.

CONCLUSIONS

GenAI informs rather than assisting or automating clinical service functions in health care. There is potential in clinical service, but it has yet to be actualized for GenAI. More clinical service-level evidence that GenAI is used to streamline some functions or provides more automated help than only information retrieval is needed. To transform health care as purported, more studies related to GenAI applications must automate and guide human-performed services and keep up with the optimism that forward-thinking health care organizations will take advantage of GenAI.

LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis

The article discusses the need for a lightweight software architecture evaluation framework that can address practitioners' concerns. Specifically, the proposed framework uses process mining and Petri nets to analyze security and performance in software development's early and late stages. Moreover, the framework has been implemented in six case studies, and the results show that it is a feasible and effective solution that can detect security and performance issues in complex and heterogeneous architecture with less time and effort. Furthermore, the article provides a detailed explanation of the framework's features, factors, and evaluation criteria. Additionally, this article discusses the challenges associated with traditional software architecture documentation methods using Unified Modeling Language diagrams and the limitations of code alone for creating comprehensive Software Architecture models. Various methods have been developed to extract implicit Software Architecture from code artifacts, but they tend to produce code-oriented diagrams instead of Software Architecture diagrams. Therefore, to bridge the model-code gap, the article proposes a framework that considers existing Software Architecture in the source code as architectural components and focuses on Software Architecture behaviors for analyzing performance and security. The proposed framework also suggests comparing Software Architecture extracted by different Process Mining algorithms to achieve consensus on architecture descriptions, using visualizations to understand differences and similarities. Finally, the article suggests that analyzing the previous version of a system's Software Architecture can lead to improvements and deviations from planned Software Architecture can be detected using traceability approaches to aid software architects in detecting inconsistencies.

Factors influencing the digital transformation of sales organizations in Indonesia

A model that can elaborate the interaction between research variables influencing digital transformation, especially on the performance of sales organizations in Fast-Moving Consumer Goods companies, is fundamental. It allows the decision-makers to take proper action for their companies' optimization. By using Partial Least Squares Structural Equation Modeling (PLS-SEM) to build a model that can describe the interaction between Leadership Model, Organizational Citizenship Behavior, and Sales Management in 346 respondents working in various Fast-moving Consumer Goods companies in Indonesia, the present study found the most respondents were from the Special Capital Region of Jakarta (40.7%). It was found that the Sales Director (50.0%) was the most responsible for digital transformation implementation within the sales organization. Most respondents answered that effectiveness in the company's Internal Business Processes was the primary goal of digital transformation (28.1%). Concerning the success parameters of the digital transformation, Business Processes were the prominent expression of successful implementation (19.4%), with Sales Automation (37.4%) as the main activity in their digital transformation. Three hypotheses with the variables of leadership models, organizational citizenship behavior (OCB), and sales management control, had proven to affect digital transformation positively. Later, in four hypotheses where sales organization performance was set as the dependent variable, it was found that the leadership model influenced organization performance with digital transformation as a mediator. Finally, the last three hypotheses, with variables of sales management control, organizational citizenship behavior, and leadership model, positively influenced organization performance through digital transformation as a mediating variable. Leaders in organizations who carry out digital transformation must ensure that their organizations can respond to disruptions related to the use of digital technology in order for an organization to achieve proper performance.

Navigating the energy transition: Identifying critical success factors for ancillary services provision and sustainable energy solutions in Germany

The provision of ancillary services (AS) is subject to changes associated with the energy transition. Due to new requirements, the power supply quality, reliability, and safety must be achieved by simultaneously complying with technological, economic, and environmental constraints. To mitigate these challenges, we derive factors responsible for a successful venture of all stakeholders, referred to as critical success factors (CSFs). In a Design Science Research (DSR)-based approach, twelve specific CSFs are deduced from expert interviews with transmission-, plant-, and distribution system operators. These CSFs are evaluated in a focus group discussion with academic experts afterward. We summarize practical results and findings from failed and successful projects concerning energy trading strategies, asset portfolios, grid expansion, and communication technologies. We contribute to AS knowledge and derive recommendations for further research and practice.

Procedures for transferring organizational knowledge during generational change: A systematic review

The loss of organizational knowledge has emerged as a prevalent issue for 21st-century organizations. This systematic review aims to scrutinize knowledge transfer procedures applied to individuals in managerial and intermediate positions during generational change or knowledge management initiatives. Following the PRISMA statement [1], this review progressed through four stages, applying inclusion and exclusion criteria, and ultimately identifying 28 articles for the final analysis. Descriptive indicators and content-related metrics were employed in the study. Key findings include: (1) predominant investment in knowledge retention studies and procedure design is observed among large companies, primarily in the secondary sector; (2) digitalization emerges as a critical aspect of effective organizational knowledge transfer procedures and protocols; (3) intra-organizational communication styles are predominantly employed for knowledge transfer; (4) organizations prefer a collective approach to transferring both tacit and explicit knowledge. In summary, this research offers fresh insights into a pivotal area of business management, showcasing originality in its exploration of knowledge transfer within the realms of generational change and knowledge management.

Uncovering the dynamics of enterprises digital transformation research: A comparative review on literature before and after the COVID-19 pandemic

The COVID-19 pandemic has greatly changed global practices of enterprise digital transformation (EDT). However, the impact of the pandemic on EDT research patterns remains unexplored. This study examines the overall development and research pattern shift of literature on EDT in the field of business and economics. A bibliometric analysis with CiteSpace was conducted on a total of 140 journal articles indexed the SSCI and SCIE databases on Web of Science prior to the pandemic and 621 articles published after the pandemic. The results suggest that following the outbreak of COVID-19 pandemic, there has been a significantly rapid growth of EDT-related publications, and the contributing role in EDT research of influential countries has undergone significant changes. Furthermore, the changes in keyword patterns were identified before and after the pandemic. Specifically, EDT research after the COVID-19 outbreak has been focusing on emerging topics, such as corporate governance, sustainable development, platform ecosystems, and dynamic capabilities. Finally, recommendations for future research are provided at individual, organizational, and ecosystem levels. Overall, this study is one of the first studies to uncover the dynamics of EDT research patterns due to the COVID-19 Pandemic, thus enhancing our understanding of the features and structures of digital transformation research in uncertain environment.

Exploring how enterprise social media usage affects employee creativity: Based on self-determination theory

The present research sheds light on how ESM (Enterprise Social media) usage (social, work) affects employee creativity through primary psychological standards (perceived relatedness, autonomy, and competence). Drawing on self-determination theory (SDT), current research also examines the mediating mechanism of basic psychological needs. Applying structural equation modeling (SEM), 415 samples were analyzed on AMSO 24.0 version. The results illustrated that social, and work-related ESM usage has a significant impact on basic psychological needs. Further, results revealed that perceived relatedness and competence are significant predictors of employee creativity. However, perceived autonomy has an insignificant effect on individual creativity. The present research also analyzed the mediating mechanism of basic psychological needs. Findings confirmed that perceived relatedness and competence mediate the connection between social, work-oriented ESM usage and individual creativity; whereas perceived autonomy did not mediate the link between social, work-oriented ESM usage and employee creativity. This study also has several implications in theory and practice.

Improving hand hygiene of young children with a digital intervention: a cluster-randomised controlled field trial

Contagious diseases that affect young children place a great burden on them and their families. Proper hand hygiene is an important measure to reduce the disease burden, however, its implementation in day care centres is challenging. This paper introduces a digital intervention to support independent and good handwashing among young children. The intervention leverages animated instructions triggered by water and soap use, together with a symbolic reward shown to children on a screen during and immediately after handwashing. We tested the intervention in a pre-registered, cluster-randomised controlled field trial in 4 day care centres in Finland and Germany with 162 children over 42 days. The intervention increased soaping time, used as a proxy for handwashing quality, by 5.30 s (+ 62%, p < 0.001). The effect occurs immediately at the onset of the intervention and is maintained throughout the intervention phase.

Study on the impact of digital transformation on the innovation potential based on evidence from Chinese listed companies

Digital transformation has emerged as a powerful force in reshaping the business landscape and enabling organizations to enhance their capabilities. One critical aspect of this change is how it impacts an enterprise's innovation ability. To explore this question, we select data regarding China's A-share listed enterprises from 2007 to 2021 as the research sample. We employ crawler technology to gather keywords related to "digital transformation" from annual reports, portraying detailed journeys of enterprises' digital transformation. Through descriptive statistics and multiple covariance tests, a linear relationship is established between digital transformation and innovation ability. Benchmark regression is conducted and a robustness test is utilized to determine the robustness of the benchmark regression. The mechanism, heterogeneity, and moderating effects of this study are also tested. The results reveal that digital transformation makes a significant positive contribution to the innovation capability of enterprises. Meanwhile, among different types of enterprises, the impact of digital transformation on enterprise innovation capability shows heterogeneity. In terms of the impact mechanism, digital transformation can enhance the innovation output of enterprises by reducing the agency cost and improving the risk-taking level of enterprises, so as to further improve the innovation capability of enterprises. The research results of this paper provide essential theoretical support for the digital transformation of enterprises and the government's formulation of enterprises' digitalization strategies. More profoundly, it provides significant reference for how to further promote the digital transformation of Chinese enterprises.

Driving forces of digital transformation in chinese enterprises based on machine learning

With advanced science and digital technology, digital transformation has become an important way to promote the sustainable development of enterprises. However, the existing research only focuses on the linear relationship between a single characteristic and digital transformation. In this study, we select the data of Chinese A-share listed companies from 2010 to 2020, innovatively use the machine learning method and explore the differences in the predictive effects of multi-dimensional features on the digital transformation of enterprises based on the Technology-Organization-Environment (TOE) theory, thus identifying the main drivers affecting digital transformation and the fitting models with stronger predictive effect. The study found that: first, by comparing machine learning and traditional linear regression models, it is found that the prediction ability of ensemble earning method is generally higher than that of tradition measurement method. For the sample data selected in this research, XGBoost and LightGBM have strong explanatory ability and high prediction accuracy. Second, compared with the technical driving force and environmental driving force, the organizational driving force has a greater impact. Third, among these characteristics, equity concentration and executives' knowledge level in organizational dimension have the greatest impact on digital transformation. Therefore, enterprise managers should always pay attention to the decision-making role of equity concentration and executives' knowledge level. This study further enriches the literature on digital transformation in enterprises, expands the application of machine learning in economics, and provides a theoretical basis for enterprises to enhance digital transformation.

Social media and anti-immigrant prejudice: a multi-method analysis of the role of social media use, threat perceptions, and cognitive ability

Introduction

The discourse on immigration and immigrants is central to contemporary political and public discussions. Analyzing online conversations about immigrants provides valuable insights into public opinion, complemented by data from questionnaires on how attitudes are formed.

Methods

The research includes two studies examining the expressive and informational use of social media. Study 1 conducted a computational text analysis of comments on Singaporean Facebook pages and forums, focusing on how social media is used to discuss immigrants. Study 2 utilized survey data to examine the use of social media at the individual level, testing the relationships between cognitive ability, perceptions of threat, negative emotions towards immigrants, and social media usage within the Integrated Threat Theory framework.

Results

Study 1 found that discussions about immigrants on social media often involved negative emotions and concerns about economic impact, such as competition for jobs and crime. Complementing these findings about perceived economic threats, Study 2 showed that individuals with higher social media usage and greater perceptions of threat were more likely to have negative emotions towards immigrants. These relationships were mediated by perceptions of threat and were stronger in individuals with lower cognitive abilities.

Discussion

The findings from both studies demonstrate the role of social media in shaping public attitudes towards immigrants, highlighting how perceived threats influence these attitudes. This research suggests the importance of considering how digital platforms contribute to public opinion on immigration, with implications for understanding the dynamics of attitude formation in the digital age.

Online Health Information Seeking and Preventative Health Actions: Cross-Generational Online Survey Study

BACKGROUND

The popularity of online health information seeking (OHIS) has increased significantly owing to its accessibility and affordability. To facilitate better health management, it is essential to comprehend the generational differences in OHIS behavior and preventative health actions after seeking online health information (OHI).

OBJECTIVE

This study investigates the variations in OHIS and engagement in preventative health actions between 2 generations based on their technology use (digital natives [aged 18-42 years] and digital immigrants [aged ≥43 years]). Additionally, this research explores the mediating role of OHIS types on the generational effect on preventative health actions and the moderating role of OHI search frequency, gender, and the presence of chronic diseases on the generational effect on OHIS types and preventative health actions.

METHODS

A preregistered online survey was conducted on the Prolific online data collection platform using stratified sampling of 2 generations (digital natives and digital immigrants) from the United States in November 2023. Overall, 3 types of OHIS were collected: health wellness information search, health guidance information search, and health management information search. A 1-way analysis of covariance tested the generational differences in types of OHIS and preventative health actions, and a 2-way analysis of covariance tested the moderating role of OHIS search frequency, gender, and the presence of chronic diseases using 7 control variables. The PROCESS Macro Model 4 was used to conduct mediation analyses, testing OHI search types as mediators. Linear regression analyses tested age as a predictor of OHIS and preventative health actions.

RESULTS

The analysis of 1137 responses revealed generational differences in OHIS. Digital natives searched for health wellness information more frequently (P<.001), whereas digital immigrants searched for health guidance (P<.001) and health management information (P=.001) more frequently. There were no significant differences between the 2 generations regarding preventative health actions (P=.85). Moreover, all 3 types of OHIS mediated the relationship between generational differences and preventative health actions. Furthermore, as people aged, they searched for significantly less health wellness information (P<.001) and more health guidance (P<.001), and health management information (P=.003). Age was not a significant predictor of preventative health actions (P=.48). The frequency of OHI searches did not moderate the effect of generations on OHIS types and preventative health actions. Gender only moderated the relationship between generation and health guidance information search (P=.02), and chronic diseases only moderated the relationship between generation and health wellness information search (P=.03).

CONCLUSIONS

To the best of our knowledge, this study is the first to explore how 2 digital generations vary in terms of searching for OHI and preventative health behaviors. As the older adult population grows, it is crucial to understand their OHIS behavior and how they engage in preventative health actions to enhance their quality of life.

Workplace digitalization and workload: changes and reciprocal relations across 3 years

This article reports the results of a 33-wave longitudinal study of changes in, and reciprocal relations between, workplace digitalization and workload. Monthly data were collected between April 2020 and December 2022 from n = 1661 employees in Germany. Based on theoretical models of workplace information and communication technology use, stress, and coping, we hypothesized both positive and negative within-person effects of digitalization on workload, and vice versa. Results of an autoregressive latent trajectory model with structured residuals (ALT-SR) showed on-average positive linear trajectories in digitalization, but not in workload over time. Moreover, higher digitalization was associated with subsequently higher levels of workload, and vice versa. This pattern of results suggests a dynamic, reciprocal process wherein positive deviations from one's average trajectory of digitalization (workload) are associated with subsequently higher levels of workload (digitalization). We additionally find evidence for linear trends in these within-person processes, suggesting that the strength of the within-person effects of digitalization on workload, and of workload on digitalization, becomes more strongly positive over time. Practitioners developing work design interventions could focus on ways to reduce the detrimental impact of digitalization on increased workload, while simultaneously encouraging the potential of digitalization to help employees cope effectively with their workload.

Turning Lemons into Lemonade: Social Support as a Moderator of the Relationship Between Technostress and Quality of Life Among University Students

Purpose

The overuse of internet-based technologies as a means of coping with the stress they generate has resulted in an alarming level of addiction, adversely impacting the quality of life and overall health of younger individuals. This social detachment, in turn, contributes to both physical and mental health deterioration. The potential remedy for this predicament lies in the application of social support as an antidote to internet addiction. In this context, our present study employs the Stress-Strain-Outcome model to explore the indirect effects of internet addiction and the moderating role of social support in relation to the influence of technostress on the quality of life of adults.

Methods

We adopted a time-lagged design to collect data from university graduates and evaluated our study hypotheses using Mplus.

Results

Our empirical findings highlight the significant influence of technostress on internet addiction, with the latter significantly mediating the relationship between technostress and quality of life. Furthermore, our results reveal that social support effectively moderates the indirect effects of technostress on quality of life through its impact on internet addiction.

Conclusion

These findings can help researchers and educators better understand the underlying mechanisms between technostress and quality of life with social support as the silver lining. This form of social support holds the potential not only to alleviate internet addiction but also to positively enhance the quality of life and overall wellbeing of individuals facing these challenges. The implications of these findings and avenues for future research are also discussed.

Role of successive round as a quality signal in equity crowdfunding: Novel evidence from the perspective of investors' preferences

Equity crowdfunding provides entrepreneurs and founders the opportunity to raise funds from a large number of potential investors, using quality signals to influence their investment decisions. Drawing from the lens of signaling theory and the elaboration likelihood model, this study explores the role of successive equity crowdfunding rounds as a quality signal in shaping investors' preferences in crowdfunded firms and its influence on their investment decisions. Our findings reveal that successive equity crowdfunding rounds serve as quality signals, modeling investors' preferences and thereby resulting in a high magnitude of success factors. The successive round is a strong quality signal that has a positive and significant impact on investors' investment decisions in subsequent equity crowdfunding rounds. The increasing preferences of investors due to the successive round augments the magnitude of success factors and helps entrepreneurs in successfully achieving large funding targets, high overfunding, and attracting a large number of investors in subsequent equity crowdfunding campaigns, even with a low level of equity offering.

Is the expression of different discrete emotions related to time? Evidence from online Chinese reviews using sentiment analysis and human behavior dynamics

Objectives

The online behavior of online users has taken on complex and diverse characteristics, and posting product reviews on e-commerce platforms is no exception. In fact, reviews contain rich and multi-dimensional discrete emotional information, and whether there is a relationship between the expression of these different discrete emotions and the time interval between product purchase and review posting as well as their related characteristics are the issues that this study needs to analyze and solve in depth.

Methods

Based on the OCC model (named after three proposers) of psychological emotional cognitive evaluation theory as the basis for emotion classification, the study used the massive amounts of Chinese reviews of mobile phones on the Chinese e-commerce platform Jingdong Mall as the research object, applied supervised machine learning methods to classify discrete emotions, and constructed a large corpus containing satisfaction, disappointment, admiration, reproach, love, and hate; then the study delved into the distribution and behavioral dynamics characteristics of consumers' comments containing the different discrete emotions at different "purchase-comment" time intervals.

Results

The results showed that the first peak of the distribution curves of the six discrete emotions at different "purchase-comment" time intervals occurs on the first day after purchase and then decreases gradually but at different rates. The three curves for satisfaction, love, and hate emotions also show a second peak on the eleventh day, which is more similar to the bimodal distribution, implying that the corresponding product reviews are more objective. In addition, the distribution of reviews containing the six discrete emotions at different "purchase-comment" time intervals follows a power-law distribution and has the temporal characteristics of human behavioral dynamics, that is, "strong paroxysms and weak memory". However, the reviews containing the admiration and reproach emotions were most intensively written by consumers after the purchase, indicating that the service provided by the seller, logistics, and e-commerce platform stimulates more consumers to give quick responses and detailed reviews.

Conclusion

This study is not only of great significance for exploring the internal mechanisms of consumer discrete emotional expression but also provides important decision-making references for potential consumer purchasing decisions, product updates for developers, marketing strategy formulation for marketing teams, and service improvement for sellers, logistics companies, and e-commerce platforms.

The impact of the digital economy on creative industries development: Empirical evidence based on the China

Digital economy has become a "new engine" that driving global economic growth. Nevertheless, numerous controversies persist regarding whether and how digital economy can facilitate the development of emerging industries. Thus, this paper investigates how digital economy affects creative industries development in China and whether innovation efficiency mediates this relationship. Drawing upon a panel data set containing 29 Chinese provinces from 2012 to 2019, an econometric model is constructed for empirical analysis. We find that digital economy significantly promotes creative industries development, and innovation efficiency plays a partial mediating role between digital economy and creative industries development. According to the influence mechanism, the digital economy of various regions could promote the creative industries development by improving the innovation efficiency. Finally, relevant suggestions were put forward from the expanding application paths, improving regional innovation efficiency, and creating an innovative environment.

"Never mind the fine print": The interaction of semantics with attitude strength beliefs on corporate cover-ups

This study examined the interaction between attitude strength and the cognitive constraints imposed by the semantic properties of measurement items. It made use of digital algorithms and built on the semantic theory of survey response (STSR), examining how people who hold strong beliefs about contemporary issues violate cognitive constraints in expressing strong attitudes. We examined the beliefs people hold concerning attempts to hide, or cover up, information about organisational scandals. Beliefs in cover-ups are related to beliefs in conspiracy theories in that they tend to overrate cues of wrongdoing, disregarding information that may render a more nuanced picture of events. We obtained responses from 405 people who rated their self-images and personal strengths, and explored how these variables influenced the respondents' beliefs in corporate cover-ups. Using latent semantic analysis (LSA), we differentiated between attitude strength and cognitive processing of the survey items. Results indicated that people with inflated self-images tended to override cognitive cues in endorsing extreme types of cover-ups such as removing accusers. Conversely, people who parse the information more carefully had a more tempered view on cover-ups and were more inclined to believe in subtle forms such as twisting stories.

Referring physicians' intention to use hospital report cards for hospital referral purposes in the presence or absence of patient-reported outcomes: a randomized trial

PURPOSE

This study aims to determine the intention to use hospital report cards (HRCs) for hospital referral purposes in the presence or absence of patient-reported outcomes (PROs) as well as to explore the relevance of publicly available hospital performance information from the perspective of referring physicians.

METHODS

We identified the most relevant information for hospital referral purposes based on a literature review and qualitative research. Primary survey data were collected (May-June 2021) on a sample of 591 referring orthopedists in Germany and analyzed using structural equation modeling. Participating orthopedists were recruited using a sequential mixed-mode strategy and randomly allocated to work with HRCs in the presence (intervention) or absence (control) of PROs.

RESULTS

Overall, 420 orthopedists (mean age 53.48, SD 8.04) were included in the analysis. The presence of PROs on HRCs was not associated with an increased intention to use HRCs (p = 0.316). Performance expectancy was shown to be the most important determinant for using HRCs (path coefficient: 0.387, p < .001). However, referring physicians have doubts as to whether HRCs can help them. We identified "complication rate" and "the number of cases treated" as most important for the hospital referral decision making; PROs were rated slightly less important.

CONCLUSIONS

This study underpins the purpose of HRCs, namely to support referring physicians in searching for a hospital. Nevertheless, only a minority would support the use of HRCs for the next hospital search in its current form. We showed that presenting relevant information on HRCs did not increase their use intention.

The Influence of Digital Affinity on the Continuous Glucose Monitoring System Choice by People With Type 1 Diabetes

BACKGROUND

Since several years, continuous glucose monitoring (CGM) systems became a standard of care in patients with intensified conventional treatment (ICT) in many countries. CGM results in an ongoing record of digital information that provides an added value to patients with type 1 diabetes (T1D) and healthcare providers, among others. This implies the patient's acceptance of data analyses and storage and an adjustment on self-management. The aim of the study was to investigate the influence of digital affinity on the CGM use and the choice of a particular system.

METHODS

In a quantitative survey 2102 patients with T1D were interviewed via an online questionnaire. The study is based on the technology acceptance model (TAM). Self-assessment of digital affinity was correlated with various features of CGM use and preferences. Significance of associations and correlations was tested.

RESULTS

Digital affinity correlated positively with CGM use for the self-management with ICT. Significant differences were found regarding the use of a particular system suggesting a correlation between digital affinity and the complexity of CGM data portrayal and interconnectivity with smart devices (eg, smartwatches).

CONCLUSIONS

While suppliers of CGM systems focus on progress regarding the ease of use of their systems, they also provide a developing interconnectivity with smart devices and cloud-based data storage. This requires a higher digital affinity among users. While factors such as recommendations by physicians and coverage by health insurance companies have an impact on the system choice, the data demonstrate a correlation between digital affinity and particular CGM systems.

Using the pet health information behaviour intervention model should make information prescriptions for pet guardians more effective

BACKGROUND

Studies on information behaviour related to companion animal's (pet) health have been carried out in different contexts and there have been attempts to modify and idealize these information behaviours.

OBJECTIVE

The purpose of this study is to apply the Pet Health Information Behaviour Intervention model in an empirical context and elaborate the theoretical contribution of the model to information behaviour research in the context of pet care and management.

METHODS

All the variables of the proposed model were quantified and tested through case study research involving 20 participants. Each case consisted of a guardian who participated in the information intervention program with their cat(s) and/or dog(s) in a small animal hospital, with a follow-up interview after 2 weeks.

RESULTS

The information prescription helped both the experienced Internet searchers and the less health literate guardians. The pet guardians were particularly appreciative of the advice on evaluating and using online health information. The higher guardian-pet bond, the more the participant used the tips to search online information. The information prescription helped the relationship with the veterinary professional through improved data gathering and perception of the professional-guardian partnership.

CONCLUSION

The model will assist both information professionals and animal health providers to better design and evaluate information interventions that support pet welfare.

Factors influencing the willingness to adopt telerehabilitation among rehabilitation professionals in Austria and Germany: a survey comparing data before and during COVID-19

PURPOSE

To investigate determinants of willingness to adopt telerehabilitation, willingness of technology use, core affect regarding using telerehabilitation, and digital competencies in rehabilitation professionals in Austria and Germany before and during the COVID-19 pandemic.

MATERIALS AND METHODS

A cross-sectional paper-based and online survey was conducted before and during COVID-19, respectively, with three cohorts of rehabilitation professionals. Outcomes were the willingness to adopt telerehabilitation evaluated using the extended Unified Theory of Acceptance and Use of Technology; willingness of technology use using the short scale for assessing the willingness of technology use; digital competencies and core affect using the Digital Competence Framework and semantic differential, respectively. Multivariate ordinal regression analysis was performed to determine predictors.

RESULTS

Included were 603 rehabilitation professionals. Analysis revealed differences between Austria and Germany and before and during the pandemic for most outcomes. German residency, the pandemic, and a higher educational level were most important predictors of higher willingness to adopt telerehabilitation, willingness of technology use, digital competencies, and positive core affect.

The pandemic increased most aspects of willingness to adopt telerehabilitation, willingness of technology use, digital competencies, and positive core affect. Results confirm that rehabilitation professionals with higher degrees are more prone to adopt innovations in healthcare.Registration: German Clinical Trials Register (DRKS00021464)IMPLICATIONS FOR REHABILITATIONThe willingness to adopt telerehabilitation is associated with external factors increasing the need for alternative rehabilitation delivery, such as COVID-19, and with financial facilitators, such as reimbursement.As the willingness to adopt telerehabilitation is higher among speech and language therapists and dietitians, efforts are necessary to enhance its use in physiotherapists and occupational therapists.As a higher willingness to adopt telerehabilitation was observed in younger rehabilitation professionals and those with higher education, increasing the importance of telerehabilitation in education curricula and further knowledge transfer into practice for those already working in the field seems necessary.

Pay-for-performance programs effectiveness in healthcare: the case of the end-stage renal disease quality incentive program

This paper focuses on Medicare's End-Stage Renal Disease Quality Incentive Program (QIP). QIP aims to promote high-quality services in outpatient dialysis facilities by tying their payments to their performance on pre-specified quality measures. In this paper, employing principal-agent theory, we examine the effectiveness of QIP by exploring the changes in various clinical/operational measures when they become a part of the program as a performance measure. We study five QIP quality measures; two are operational: hospitalization and readmission. And three others are clinical: blood transfusion, hypercalcemia, and dialysis adequacy. Overall, we observe a significant improvement in all QIP quality measures after being included in the program, except for readmission. We recommend adjusting the weight and redesigning the readmission measure for Medicare to incentivize providers to reduce readmission. We also discuss establishing care coordination and employing data-driven clinical decision support systems as opportunities for dialysis facilities to improve the care delivery process.