Applying the technology acceptance model - Theory of planned behavior (TAM-TPB) model to study the acceptance of building information modeling (BIM) in green building in China

Building Information Modeling (BIM) has emerged as a transformative tool in addressing sustainability challenges in the construction industry. While Building Information Modeling (BIM) has emerged as a transformative technology for advancing sustainability, its adoption in China faces significant challenges. This study integrated the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) to analyze the factors influencing BIM adoption in green building projects in China. Data were collected from 588 Chinese practitioners and researchers through online and offline questionnaires using a purposive sampling method. The findings revealed that Perceived Environmental Concern, Behavioral Intention, and Perceived Behavioral Control were the most critical factors influencing BIM adoption in green buildings. Additionally, the study demonstrated that BIM system quality, information quality, and system services significantly influenced the perceived usability and ease of use of BIM systems, which were essential for shaping users' acceptance of the technology in green building applications. These findings highlighted the importance of addressing environmental awareness, fostering positive behavioral intentions, and ensuring adequate resources, technical support, and system optimization to enhance BIM implementation. This research provides actionable recommendations for improving BIM adoption in green buildings, contributing to sustainable practices within the construction industry. By aligning with China's carbon reduction goals, the study offers valuable insights to guide policymakers and industry stakeholders in promoting the broader adoption of BIM technology for sustainable development.

English major students' satisfaction with ELSA Speak in English pronunciation courses

Clear and accurate pronunciation plays an essential role in communicating effectively and significantly affects English learners' proficiency. ELSA Speak has been used in some schools due to its benefits to help learners improve English pronunciation. However, to optimize the application, a better understanding of EFL learners' satisfaction with ELSA Speak is essential. The novelty of this study is assessing how English major students were satisfied with using ELSA Speak to enhance their pronunciation and explore key factors that contributed to positive users' experience. Two hundred and five English major students at a Vietnamese higher education institution were surveyed by a 23-item questionnaire classified into four variables: perceived usefulness, perceived ease of use, confirmation, and satisfaction. The findings recorded a high level of satisfaction among participants. Moreover, although both perceived ease of use and confirmation showed a considerable impact on learners' satisfaction, confirmation was reported to be the determining antecedent of satisfaction. Perceived usefulness was directly influenced by perceived ease of use and had a stronger influence on confirmation compared to perceived ease of use. However, perceived usefulness did not have a directly significant correlation with learners' satisfaction. These results can add evidence of learners' satisfaction with using ELSA Speak, explain some elements affecting satisfaction, and suggest employing ELSA Speak in pronunciation courses with careful consideration of the content and teacher support as a facilitator.

Expectancy Violations and Discontinuance Behavior in Live-Streaming Commerce: Exploring Human Interactions with Virtual Streamers

Virtual streamers, as a typical application of AI-enabled digital humans, are increasingly being utilized in live-streaming commerce due to technological advancements and industry innovations. Although virtual streamers present several benefits, there is potential for adverse effects when they do not align with consumer expectations. Drawing upon expectancy violations theory, this study developed a theoretical model to explore whether and how consumers' expectation violations during human-virtual streamer interactions affect consumers' discontinuance behavior. Through an online questionnaire survey of 307 Chinese consumers with prior experience interacting with virtual streamers, this study used a partial least squares structural equation model to analyze the research model. The empirical results indicated that professionalism expectation violation, empathy expectation violation, and responsiveness expectation violation positively influenced consumers' distrust and dissatisfaction, which subsequently led to discontinuance behavior. This study contributes to the literature on live-streaming commerce, human-AI interaction, and expectancy violation theory. Furthermore, the findings offer valuable insights for practitioners in the field of live-streaming commerce by enabling them to formulate preventive or remedial strategies to mitigate potential negative outcomes when implementing virtual streamers.

A Novel Content and Usability Analysis of UK Professional Regulator Information About Raising a Concern by Members of the Public

BACKGROUND

Health and social care regulators ensure that professionals have the correct qualifications and experience to practice in their profession. Globally, there are over 130 regulators of nursing alone and 13 health and social care statutory regulators in the United Kingdom. The public are the largest source of concerns to regulators about the registrants' fitness to practise (FtP).

AIM

This study aimed to examine the amount, type and content of the information available from UK regulators and evaluate the usability of the process for members of the public considering raising a concern with a regulator about a registrant's fitness to practise (FtP) and the experience of those who had recently raised a concern.

METHODS

The websites of the UK's 13 statutory health and social care regulators were searched between November 2021 and February 2022 for information about the process of raising a concern. Webpages and public-facing documentation were downloaded, and qualitative content analysis was conducted. The usability of regulator websites and the concerns referral form were assessed by 11 people using an adapted 'system usability scale'. Seven interviews, a focus group (n = 5) and a survey (n = 62) of people who had raised a concern were used to explore their experiences to validate our findings and recommendations.

RESULTS

Themes were identified related to format and layout, the process and support to raise a concern, with wide variation found between regulators. Focus groups, interviews and surveys validated these findings.

DISCUSSION AND CONCLUSION

Information and the ease of finding this information are fundamental in promoting public confidence and trust in regulator purpose and process. When raising a concern, it is important that information is honest, clear and accurate and available in a range of different formats so that it suits the diverse needs of members of the public. Improvements in these processes could support regulators to better achieve their primary purpose of protecting the public.

PUBLIC CONTRIBUTION

The public were consulted on our findings using two focus groups, seven interviews and 62 survey respondents. Our project advisory group of people with lived experience of involvement in FtP discussed the findings and contributed to the recommendations.

TRIAL REGISTRATION

N/A.

SNS citizenship behavior based on D&M information system success model and social capital theory: Mediating role of subjective well-being

Social media has become integral to contemporary society, with online behaviors impacting individual experiences and the wider community. In Bangladesh, a developing country, SNS have played a pivotal role in the nation's digitalization efforts. This study explores the relationship between social capital theory, D&M Information System Model, subjective well-being, and SNS Citizenship Behavior (SCB) among active social media users in Bangladesh. Data was collected from 418 participants through an online survey, and hypotheses were tested using structural equation modeling. The findings indicate that the items of the D&M model positively influenced the aspects of social capital theory, excluding service quality. In contrast, social interaction ties and shared values were positively associated with SCB, although social trust did not exhibit a significant relationship. Additionally, subjective well-being mediated the connection between social capital and SCB. This research offers valuable insights into the factors influencing online prosocial behavior and provides practical implications for cultivating a positive communication culture in the digital era. The model proposed in this study holds significant implications for Bangladesh's policymakers and social networking site authorities, guiding their efforts in implementing technology-based initiatives.

Effects of ChatGPT's AI capabilities and human-like traits on spreading information in work environments

The rapid proliferation and integration of AI chatbots in office environments, specifically the advanced AI model ChatGPT, prompts an examination of how its features and updates impact knowledge processes, satisfaction, and word-of-mouth (WOM) among office workers. This study investigates the determinants of WOM among office workers who are users of ChatGPT. We adopted a quantitative approach, utilizing a stratified random sampling technique to collect data from a diverse group of office workers experienced in using ChatGPT. The hypotheses were rigorously tested through Structural Equation Modeling (SEM) using the SmartPLS 4. The results revealed that system updates, memorability, and non-language barrier attributes of ChatGPT significantly enhanced knowledge acquisition and application. Additionally, the human-like personality traits of ChatGPT significantly increased both utilitarian value and satisfaction. Furthermore, the study showed that knowledge acquisition and application led to a significant increase in utilitarian value and satisfaction, which subsequently increased WOM. Age had a positive influence on WOM, while gender had no significant impact. The findings provide theoretical contributions by expanding our understanding of AI chatbots' role in knowledge processes, satisfaction, and WOM, particularly among office workers.

Unveiling digital transformation: Investigating technology adoption in Vietnam's food delivery industry for enhanced customer experience

Digital platforms are increasingly playing a crucial role in the digital transformation process, enabling small and medium-sized enterprises to gain a competitive advantage and achieve their business objectives. This research study aims to extend the Technology Acceptance Model by incorporating the Stimulus-Organism-Reaction theory to gain a comprehensive understanding of the factors influencing satisfaction, continued intention to use, and positive electronic word-of-mouth (eWOM) in the context of Food Delivery Apps (FDAs). A quantitative approach was employed, and data were collected through a survey administered to 346 FDA users. The results reveal that both Information quality and Task-technology fit have a positive impact on satisfaction and continued intention to use. Additionally, satisfaction was found to have the greatest influence on continued intention to use and positive eWOM, with information quality exerting the most significant impact on satisfaction. Furthermore, the study findings demonstrated that promotion has a significant impact on generating positive eWOM. This study makes a substantial contribution to the existing literature by providing valuable insights into the factors influencing FDA usage and their impact on satisfaction, continued intention to use, and positive eWOM. It serves as a foundation for further research in this emerging field and offers practical implications for stakeholders involved in the development, management, and utilization of FDAs.

Unpacking the relationship between technological conflicts, dissatisfaction, and social media discontinuance intention: An integrated theoretical perspective

Previous research has largely overlooked the examination of the association between family, work, and personal (FWP) conflict, user dissatisfaction, and subsequent discontinuation intention in the context of social networking sites (SNS). Addressing this research gap, the present study aims to present an integrated theoretical perspective that combines Expectancy Disconfirmation Theory (EDT) and Merton's functions. By doing so, we seek to provide a comprehensive understanding of the factors influencing SNS withdrawal behavior. To achieve this objective, data were collected from 360 SNS users using a time-lag method across three waves, and Structural Equation Modeling (SEM) was employed for data analysis. The findings of our study reveal that all three disconfirmation-based factors (i.e., FWP conflicts) positively contribute to SNS user dissatisfaction, which subsequently leads to users' intention to discontinue their SNS usage. Additionally, we explored the moderating role of Merton's functions, specifically manifest and latent functions, in influencing users' decisions to discontinue SNS use. The results indicate that the manifest functions of social media weaken the relationship between dissatisfaction and discontinuation intention, whereas the latent functions do not exhibit a significant interaction effect. By proposing a dual theoretically integrated mechanism of SNS discontinuation intention, study contributes to the existing literature in the field of information systems. Furthermore, our findings provide valuable insights for managers regarding the timing and manner in which social media FWP conflicts can lead to user dissatisfaction. This knowledge can assist in the development of effective strategies aimed at retaining users in SNS and enhancing their overall user experience.

Investigating Students' Satisfaction with Online Collaborative Learning During the COVID-19 Period: An Expectation-Confirmation Model

The recent outbreak of COVID-19 posed discontinuous disruption to traditional learning modes worldwide. In order to keep social distance, online collaborative learning has become a necessity during the pandemic. However, our understanding of students' well-being and satisfaction with online collaborative learning is limited, especially during the COVID-19 period. Leveraging expectation confirmation theory, this study focuses on the triggers and inhibitors of students' cognitive load during online collaborative learning process and their subsequent satisfaction with the learning mode during the pandemic. We used a mixed-method approach in this study. We conducted a qualitative study with interview data and a quantitative study with surveys. The results indicate several psychological and cognitive antecedents of students' cognitive load during online collaborative learning. Findings also indicate that a high level of cognitive load will decrease students' perceived usefulness of the online learning platform and expectation confirmation, thus leading to a low level of satisfaction with online collaborative learning. This study can provide theoretical and practical implications for a better understanding of online student groups' satisfaction with online collaborative learning during the COVID-19 period.

Online reputation of agri-food companies and determining factors: an empirical investigation

In an increasingly technology-oriented society, companies should ensure not only that they have an Internet presence but also that they are conveying the right image. According to the resource-based view, online reputation is a key intangible asset for successful technological business change. The aim of this research is to analyze the online reputation of companies in the agri-food sector, identifying the factors that have an impact on it. For this purpose, fuzzy-set qualitative comparative analysis is used. The results show that online reputation is conditioned by legal form and attributes associated with the company website. Such attributes include website quality, the presence of information associated with corporate social responsibility, the use of a secure connection, and the sale of organic products. The results provide strategic guidelines for public and private decision makers to exploit the full potential of ICTs.

Understanding the Migration Intention of Psychological Home in Cyberspace

The present study views the personal main page on social media as a psychological home in cyberspace, since they have identical characteristics. Many young people share their lives on social media. However, a backlash is triggered among young people when parents start to use social media and attempt to participate in their children's online activities, causing young users to migrate social media platforms. This study introduced two concepts of psychological home, self-disclosure and psychological ownership, and the research purpose aims to investigate the relationships between self-disclosure, psychological ownership, and migration intention based on the expectation-disconfirmation theory. A survey research method was used in the study. A total of 561 samples were collected through online questionnaires, and SmartPLS 4.0 was applied for analysis. The results reveal that (1) parental involvement in social media has a positive relationship with dissatisfaction; (2) disconfirmation of psychological ownership and disconfirmation of self-disclosure have a negative relationship with dissatisfaction; (3) the greater the users' dissatisfaction with social media is, the greater the intention to migrate social medias.

A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction

A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction

In this study, we target the task of voice chat–based customer response prediction in an emerging online interaction–based commercial mode, the invite-online-and-experience-in-store mode. Prior research shows that satisfaction, which can be revealed by the discrepancy between prior expectation and actual experience, is a key factor to disentangle customers’ purchase intention, whereas black box deep learning methods empirically promise us with advantageous capabilities in dealing with complex voice data, for example, text and audio information incorporated in voice chat. To this end, we propose a theory-driven deep learning method that enables us to (1) learn customers’ personalized product preferences and dynamic satisfaction in the absence of their profile information, (2) model customers’ actual experiences based on multiview voice chat information in an interlaced way, and (3) enhance the customer response prediction performance of a black box deep learning model with theory-driven dynamic satisfaction. Empirical evaluation results demonstrate the advantageous prediction performance of our proposed method over state-of-the-art deep learning alternatives. Investigation of cumulative satisfaction reveals the collaborative predictive roles of theory-driven dynamic satisfaction and deep representation features for customer response prediction. Explanatory analysis further renders insights into customers’ personalized preferences and dynamic satisfaction for key product attributes.

What are the key drivers to promote continuance intention of undergraduates in online learning? A multi-perspective framework

Introduction/Aim

The purpose of this study is to investigate the key predictors of online learning system continuance intention using expectation-confirmation theory and information system success model as the theoretical framework.

Methods

A total of 537 respondents participated in the questionnaire to measure their self-reported responses to eight constructs (perceived usefulness, interaction, confirmation, satisfaction, continuance intention, information quality, system quality, service quality). Convenience sampling was used to obtain participants in this study. Partial least square structural equation model is used for data analysis.

Results

The results showed that all the hypotheses were validated except that there was no significant positive relationship between online learning interaction and student satisfaction. Meanwhile, the variance of the continuance intention of the online learning system reached 74.0%, falling within the moderate to substantial. In addition, the multi-group analysis of perceived usefulness, satisfaction and continuance intention showed that there was no significant gender difference in the above two relationships.

Discussion

Finally, this study also puts forward the theoretical and practical implications of college students' continuance intention of online learning system.

The public needs more: The informational and emotional support of public communication amidst the Covid-19 in China

Public communication is critical for responding to disasters. However, most research on public communication is largely focused on its informational support function, overlooking the emotional support that could equally offer. This study takes the lead to investigate their separate impacts. In particular, the variable public engagement, which is a function of the number of Shares, Likes, and Comments in a particular post, is introduced to benchmark the effect of public communication. Besides, considering the evolving nature of the crisis, their dynamic impacts across different COVID-19 pandemic stages are examined. Data from Dec 2019 to Jul 2020 were collected from 17 provincial government-owned social media (Weibo) accounts across COVID-19 in China with a Natural Language Processing-based method to compute the strengths of informational support and emotional support strength. An econometric model is then proposed to explore the impacts of two supports. The findings are twofold: the impact of emotional support on public engagement is empirically confirmed in the study, which is not in lockstep with the informational support; and their impacts on public communication are dynamic rather than static across stages throughout the crisis. We highlighted the importance of emotional support in public engagement by deriving its impact separately from informational support. The findings suggest incorporating both social supports to create stronger public communication tactics during crises.

Implementing structural equation modelling and multiple mediator models for management information systems

Purpose

Overall quantitative research aims to observe certain fundamental principles of logic and scientific frame of reasoning. There continues to be challenges on how quantitative research is conducted in the field of information systems.

Design/methodology/approach

Structured equation modelling (SEM) research identifies concerns about the standard of scientific enquiry method, the issue of the misconception of sustaining the consequent and the issue of collective validity. Therefore, rigor and robustness in instrument validity, constructs validity and path analysis validity maybe better achieved by attending to these three concerns. Measuring a multiple mediator construct in a hypothetical model continues to be a challenge for researchers in information systems research and related fields.

Findings

This paper aims to provide a thoughtful assessment of the contemporary issues of structural equation modelling methodology (SEMM), by providing rigid and robust SEMM that has several stages in specifying valid multiple mediators construct and the process to measuring in a path analysis model. This paper attempts to develop each stage of the methodology using relevant research to construct a methodology specified to test effects in multiple mediators in SEM using AMOS software. The methodology developed contains the two main phases; first is prior to data collection phase and the second phase is after the data collection, the use of this methodology design, for implementation, intended to support high methodological standards and subsequent quality in MIS research findings.

Originality/value

The research paper provides SEMM that has several stages in specifying valid multiple mediators construct and the process to measuring in a path analysis model.

My Real Avatar has a Doctor Appointment in the Wepital: A System for Persistent, Efficient, and Ubiquitous Medical Care

COVID-19 created a great deal of personal, social, and economic anxiety in the USA and across the globe and exposed the inadequacy of traditional medical systems in handling large-scale emergencies. While telemedicine and virtual visits have become popular as a result, they end once a visit is over, hence lacking data persistence and continuity in caring for patients. Using the design science research approach with support from the theory of affordances, this paper proposes the design of a medical system (called wepital) in which patients receive care through their real avatars, enabling hospitals and other medical centers to provide immediate care that can continue for as long as a patient needs it. Real avatars are digital representations of patients that embody their real-time vital signs and health information. We have created a functional prototype to demonstrate how the proposed design can work. To assess the usability of the design, we have used the prototype in an experiment to provide medical advice to patient volunteers. Based on a theory-based conceptual model, we collected survey data after the experiment to identify factors contributing to the success of such a system, as measured by patient satisfaction. We report the factors that significantly contribute to the patients’ satisfaction. As part of the application and policy implications of our work, we propose a nationwide system that could supplement and expand the capacity of medical systems at the national or even global level.

Determinants of user's intentions to book hotels: a comparison of websites and mobile apps

Purpose

This empirical study uses the stimulus-organism-response (S-O-R) framework to examine the interrelationships amongst hotel websites and app quality, flow, telepresence, user engagement and booking intentions.

Design/methodology/approach

Data from two different datasets, including users of hotel websites (N sample 1 = 257) and hotel mobile apps (N sample 2 = 292), were collected. Partial least squares (PLS-SEM) was used to test the research model.

Findings

Findings indicate that the quality of the hotel websites and mobile apps positively influences telepresence, flow and engagement. Telepresence and flow positively affect the users booking intentions for both the samples. However, for hotel website users, engagement has a no-significant effect on booking intentions. Finally, telepresence has a non-significant effect on flow, and flow has a non-significant effect on engagement for both the users of hotel websites and mobile apps.

Originality/value

This study uses two datasets to understand how hotel booking channel (hotel website and mobile app) quality leads to booking intentions by tapping into telepresence, flow and engagement.

Information Systems Research for Smart Sustainable Mobility: A Framework and Call for Action

Transportation is a backbone of modern globalized societies. It also causes approximately one third of all European Union and U.S. greenhouse gas emissions, represents a major health hazard for global populations, and poses significant economic costs. However, rapid innovation in vehicle technology, mobile connectivity, computing hardware, and artificial intelligence (AI)-powered information systems heralds a deep socio-technical transformation of the sector. The emergence of connected, autonomous, shared, and electric (CASE) vehicle technology has created a digital layer that resides on top of the traditional physical mobility system. This article contributes a framework to direct research and practice toward leveraging the opportunities afforded by CASE for a more efficient and less environmentally problematic mobility system. The authors propose seven overarching dimensions of action. These range from designing real-time digital coordination mechanisms for the management of mobility systems to developing AI-powered real-time decision support for mobility resource planning and operations. Per each dimension, concrete angles of attack are suggested which, we hope, will spur structured engagement from both researchers and practitioners in the field.

Understanding the Airbnb user continuation intention: The moderating role of perceived risk

This study evaluates the relationship between diversified relationships established under the umbrella of the Stimuli-Organism-Response (SOR) framework to study the consumer continuation intention of the Airbnb platform from a Malaysian perspective. A web-based survey was conducted among Malaysian Airbnb consumers, and a sample of 303 respondents was obtained. SmartPLS has been used for data analysis. The statistical output of the respondent’s data indicates that social overload and information overload influence consumer continuation intention. Moreover, the satisfaction and trust in the platform partially mediate the relationship between the stimuli and behavioral response. Further, perceived health risk strengthens the negative relationship between continuation and trust in the platform. The theoretical implications include enacting a SOR framework to understand the consumer’s internal state of mind and ability to influence the consumer platform continuation intention. The practical implications suggest that the managers and business owners focus on limiting the social exposure at the host destination and the flow of information from the application.

The role of service quality in fostering different types of perceived value for student blended learning satisfaction

The present study aims to conceptualize service quality and perceived value in the context of blended learning by redefining and modifying the existing SERVQUAL model, reviewing prior marketing literature on perceived value, and examining the relationships between service quality, perceived value, and student satisfaction. The sample was restricted to colleges in South Korea, where blended learning programs have started to receive much attention. We examined our hypotheses by using regression analysis via the statistical programs Amos 22.0 and SPSS 23.0. The following results are produced. First, the conceptualization of service quality and perceived value was confirmed. Second, the different effects of online and offline service quality on each perceived value are confirmed. Offline service quality is more effective in generating perceived epistemic value, perceived social value, and perceived emotional value than online service quality, whereas online service quality is more effective in triggering perceived conditional value than offline service quality. Finally, perceived emotional value and perceived conditional value are the important determinants of student satisfaction. We address the theoretical implications that (1) service quality and perceived value are conceptualized through modification, refinement, and empirical testing and develop a multidimensional scale for service quality and perceived value, and (2) the sequential and causal relationships among service quality, perceived value, and student satisfaction are confirmed. Practically, we expect that our measurement scales for service quality and perceived value, which have high validity and reliability, can serve as diagnostic tools for blended learning program evaluation from students' perspective.

Understanding the determinants of ePharmacy services: the moderating effect of technology discomfort

Purpose

The purpose of this study is to understand the determinants affecting behavioral intention (BI) to use ePharmacy services. The moderating role of technology discomfort in the relationship between BI and the actual use of ePharmacies in the context of Bangladesh is also examined.

Design/methodology/approach

A descriptive, quantitative approach was used to consider the UTAUT-2 model. Using the convenience sampling method, 255 responses were collected. The data were analyzed using Smart-PLS 3.2 software to investigate the hypothesized relationships.

Findings

The findings reveal that website information, doctors’ services, performance expectancy, return policy, social influence, perceived reliability and facilitating conditions are significantly related to the BI to use ePharmacy services. Interestingly, the structural equation modeling results also confirmed that technology discomfort has no moderating effect on the relationship between BI and actual usage behavior.

Research limitations/implications

This research provides theoretical contribution by extending the practical knowledge focusing on the relationship of ePharmacy, BI and actual usage behavior by using UTAUT-2 model – a relevant and unexplored issue in the easting literature, offering several research opportunities as the future avenue.

Practical implications

The result highlights the economic and social relevance from the perspective of a developing country. As people are showing their intention toward ePharmacy, managers and decision-makers need to take strategic decision to overcome any difficulties. Policymakers need to improve their services for the expansion of ePharmacy through different development projects.

Originality/value

This study advances past studies on the use of ecommerce in the pharmaceutical industry and provides a general understanding of customers in developing countries.

Impact of online convenience on generation Z online impulsive buying behavior: The moderating role of social media celebrity

This research aims to determine which dimensions of online convenience influence generation z consumers’ cognitive and affective attitudes and online impulsive buying behavior. The moderating effect of social media celebrity is also investigated to examine the attitude-behavior gap. A total of 348 responses from Chinese users who followed digital celebrities were received using purposive sampling. Data analysis and hypothesis testing were carried out using SmartPLS, version 3 (partial least squares). The results indicated that relationship convenience, possession convenience, post possession conveniences, transaction convenience, and evaluation convenience have a crucial impact on cognitive and affective attitudes. Similarly, cognitive and affective attitudes are significant and positive predictors of generation z consumers’ online impulsive buying behavior. Moreover, empirical results supported the moderating role of social media celebrities that aid marketers in selecting a product endorser. The implications for marketers and policymakers are discussed based on the above research findings. Moreover, future research directions are suggested.

Higher Education to Support Sustainable Development: The Influence of Information Literacy and Online Learning Process on Chinese Postgraduates’ Innovation Performance

Digitalization provides opportunities for sustainable development. Cultivating postgraduates’ digital skills is an important task of higher education to support sustainable development (HESD). As a crucial way of cultivating digital skills, high-quality online learning processes are of great significance to achieve “Quality Education”, in line with the 2030 sustainable development agenda. Based on Biggs’s 3P (Presage-Process-Product) learning model, this study focused on the whole learning process and explored the relationship among postgraduates’ information literacy, online platforms, online knowledge-sharing processes and their innovation performance. The analysis of a questionnaire survey of 501 Chinese postgraduates showed that (1) information literacy has a positively predictive effect on postgraduates’ innovation performance; (2) different online learning processes lead to different learning results. Compared to the quantity-oriented online knowledge sharing process (Qty-KSP), the quality-oriented online knowledge sharing process (Qlty-KSP) is related to better innovation performance, which opens onto this study’s third finding: (3) Qty-KSP and Qlty-KSP play a parallel mediating effect between postgraduates’ information literacy and their innovation performance. Compared to Qty-KSP, Qlty-KSP is a more powerful intermediary variable, which leads to this study’s fourth finding; (4) an efficient online learning environment can contribute to higher-quality online learning process, thus improving postgraduates’ innovative performance. This study suggests that policy makers should develop postgraduates’ digital skills for sustainable development in the digital age. This can be achieved by (1) cultivating postgraduates’ information literacy; (2) encouraging them to practice high-quality online learning processes; and (3) providing an efficient sharing platform for sustainability, resilience, and digitalization in higher education.

Evaluating website quality: which decision criteria do consumers use to evaluate website quality?

Purpose

The purpose of this paper is to determine which design and operational attributes of e-commerce websites consumers use to assess website quality. Cue utilization theory is used to examine the explanatory power, robustness and relevance of the WebQual model. Results indicate which WebQual dimensions are the most relevant and salient to website users. These dimensions are categorized by their perceived and confidence values. A second study is conducted about how website users evaluate and utilize the WebQual dimensions.

Design/methodology/approach

Survey methodology was utilized to provide insight into the nomological validity of the WebQual model by examining it through a cue utilization lens.

Findings

The first study categorizes the WebQual dimensions on their ability to provide a diagnostic measure of website quality, and consumer confidence in their ability to use these cues when judging the website's overall quality. The second study presents results of each dimension in relation to the quality evaluation of an actual e-commerce website. Additional analysis also revealed gender differences in cue utilization.

Originality/value

This study provided insight into WebQual-based research and identified original differences in cue utilization across genders. Results suggest that it may be beneficial for brand managers to focus on a subset of quality dimensions, rather than assume that consumers are comfortable using all website attributes to formulate quality judgments. These, results contribute to multiple literatures by providing a model that developers can utilize to focus on the deterministic characteristics of overall website quality. Further, the cue utilization perspective provides additional avenues for fruitful further research into consumer decision-making in the e-commerce context.

Evaluation of organizational climate factors on tax administration enterprise resource planning (ERP) system

Tax collection is an essential activity to boost the economy of all countries. Larger businesses and governments are increasingly relying on Enterprise Resource Planning (ERP) systems, which are designed to enhance the collection of revenues among other things. However, the implementation of an ERP system often affects the organizational climate by changing the manner businesses are conducted from the past both internally and externally. These changes have the tendency to impact the actions of workers throughout the transition process. Nevertheless, organization climate which is an essential variable to measure the success of ERPs is mostly underutilized. Thus in this study, we proposed an information system (IS) success model that integrates organizational climate variables namely, role clarity, teamwork and support, and, training and learning into the DeLone and McLean model to evaluate the success of a tax ERP system. The proposed model was based on a quantitative and a mixed-method case study (MM-CS). Data was gathered from a top company with many branches in Ghana through interviews, observation, focus groups, and questionnaires. Partial least squares structural equation modeling was used to examine the 555 data collected from the questionnaire. The result of the study shows that the organizational climate variables (training & learning, teamwork & support, and role clarity) were statistically significant in determining the success of a tax ERP system. Training & learning and teamwork & support also had a positive impact on service quality, user satisfaction, and individual impact.

Privacy Concerns and Information Sharing: The Perspective of the U-Shaped Curve

Privacy concerns are a key predictor of information sharing, yet some critical issues remain unclear. Based on social capital theory, this study argues that the relationship between privacy concerns and information sharing is a U-shaped curve. Users with privacy concerns would not share their private information; however, such users would eventually share their information as long as they trust the website and its members. Furthermore, this study provides a contingency perspective, suggesting that the curvilinear relationship between privacy concerns and information sharing varies with the system evaluation perception and personal motivation levels. The results show that at a high level of system evaluation, the relationship between privacy concerns squared and information sharing is non-significant. In contrast, at a low level of system evaluation, there is a U-shaped relationship between privacy concerns and information sharing. Regarding motivation, the results were congruent with our expectations.

Continuance Intention to Use and Perceived Net Benefits as Perceived by Streaming Platform Users: An Application of the Updated IS Success Model

Video game streaming has become a popular leisure activity which, depending on content, level of skill, and user interest, reaches a wide array of audiences. Using streaming platforms, client users are able to broadcast their video gameplays and use chat rooms to interact with other viewers and game players in real time. This paper aimed to develop and examine a theoretical explanation concerning the formation of client users’ satisfaction with, perceived net benefits of, and continuance intention to use a particular streaming platform. The study employed the updated IS Success Model. An online questionnaire was designed for individuals who were game streaming users of a streaming platform. A total of 632 usable responses were used in the data analysis. The results pointed out that system quality, information quality, service quality, and user motivation all positively and significantly affected user satisfaction. User satisfaction had a positive and significant effect on perceived net benefits and continuance intention to use a streaming platform. Perceived net benefits positively and significantly related to continuance intention to use a particular streaming platform. The moderating effect of emotional involvement between user satisfaction and perceived net benefits was confirmed.

A Task-Technology-Identity Fit Model of Smartwatch Utilisation and User Satisfaction: A Hybrid SEM-Neural Network Approach

Smartwatches are wearable devices intended to be smartphone companions that capture health data and ease access to notifications. They have also become personalisable standing as a fashion statement. This combination resulted in staggering adoption rates recently leading to question whether smartwatch users' choice and use satisfaction emerge from utility features or from its fashion characteristics. This paper proposes and validates a fit theory to investigate the antecedents of adopters' satisfaction. Besides evaluating fit with identity, the model assesses both perceived and actual task-technology fit of smartwatches. A questionnaire-based quantitative approach is used to collect data from about 300 smartwatch users in Qatar. To test the proposed model, data is analysed using structural equation modeling (SEM) and artificial neural networks (ANN). Furthermore, ANN sensitivity analysis ranks the importance of the fit factors affecting users' choice during pre- and post-adoption stages. Both task-technology and technology-identity fit factors are quasi-equally important in explaining 62% of satisfaction variance. ANN analysis revealed that post-adoption satisfaction is primarily attributed to smartwatches' ability to fit with users' identity and secondarily to its perceived fit with tasks. Nevertheless, pre-adoption choice of smartwatches is mainly guided by their functionality. This paper is the first to propose and validate an integrated task-technology-identity fit model to explain smartwatch utilization and users' satisfaction. The originality also lies in assessing actual task-technology fit and as perceived by users. Employing two modes of analysis revealed extra insights too.

An Empirical Evaluation of Customers’ Adoption of Drone Food Delivery Services: An Extended Technology Acceptance Model

A single technological advancement in the business sector tremendously changed customers’ lifestyles and consumption behavior. Drone technology is one of the main revolutions that increase business efficiency at a lower cost. However, the acceptance of emerging technologies is not rapid in developing markets. Therefore, this study aims to evaluate customers’ adoption of drone technology in the context of food delivery services. This study has used an extended technology acceptance model (TAM) to assess customers’ behavior. Product processing innovativeness, information processing innovativeness, and subjective norms have been added as additional constructs into TAM. The data of 354 customers from five different cities of Pakistan have been collected and analyzed through partial least square structural equation modeling (PLS-SEM). The results of the study revealed that all proposed hypotheses, except the positive influence of perceived ease of use on perceived usefulness, were accepted. Further, the results depict that perceived usefulness, subjective norms, and attitude were the major predictors of customers’ adoption of drone food delivery services. In addition to this, customers’ word of mouth has a greater influence and reach than other forms of marketing communication. Therefore, practitioners and marketers may consider hosting competition programs to experiment with drone food delivery systems to enhance the acceptance of this technology among the masses.

The Effects of the In-Flight Safety Information Characteristics on the Safety Behavioral Intention of Airline Passengers

This research aims to explore the effects that In-flight Safety Information Characteristics of airlines have on attitude, customer satisfaction, customer trust, and safety behavioral intentions. A total of 477 passengers with air travel experience were surveyed and responses were analyzed using a structural equation model. Among four in-flight safety information characteristics, reliability, informative, utility turned out to have positive effects on attitude, interactivity are not significant antecedents of attitude. In turn, Attitude had a positive effect on customer satisfaction, customer trust, and safety behavioral intentions. It is believed that this research can serve as a starting point for future studies on the diverse servicescapes of airport facilities. It is believed that this research can serve as an important basic data and strategy for securing passenger safety and efficient measures for airlines’ in-flight safety information operation.

Online Alışverişlerde Satış Sonrası Hizmetler İle E-Sadakat İlişkisinde, E-Memnuniyetin Aracılık Rolü: Y Kuşağı Tüketicileri Üzerine Bir Araştırma

E-ticaret siteleri üzerinden gerçekleştirilen çevrimiçi alışverişlerde tüketiciler, satış sonrası hizmetler noktasında yüksek beklentilere sahip olabilmektedirler. Memnuniyet ve sadakat yaratmak isteyen online alışveriş siteleri, müşteri beklentileri karşılayarak, işletme ile müşterileri arasında bir değer zinciri yaratmaya çabalamaktadırlar. Bu araştırma ile genel anlamda, tüketicilerin sıklıkla ziyaret ettiği online alışveriş sitelerinin, satış sonrası hizmet koşulları incelenmiştir. Bu doğrultuda, müşteri hizmetleri, kargo/takip ve iade/iptal koşullarının, e-memnuniyet ve e-sadakat düzeylerine etkisi tespit edilmiştir. Araştırmanın örneklem kitlesini, Y kuşağı olarak nitelendirilen, 418 online alışveriş tüketicisi oluşturmaktadır. Araştırma verileri öncelikle, tanımlayıcı ve betimleyici istatistiklere tabii tutulmuştur. Ardından, güvenilirlik ve geçerlilik analizleri gerçekleştirilmiştir. Daha sonra ise, doğrulayıcı faktör analizi (DFA) ve Yol (PATH) analizi uygulanmıştır. Araştırma bulgularına göre, müşteri hizmetleri, kargo/takip, iade/iptal gibi satış sonrası hizmet koşullarının, e-memnuniyetin aracılık rolü ile e-sadakati etkilediği tespit edilmiştir.

Understanding the Information Needs of Patients With Ovarian Cancer Regarding Genetic Testing to Inform Intervention Design: Interview Study

Background

Experts in gynecological cancer care recommend that all patients with invasive or high-grade ovarian cancer (OC) undergo genetic testing. However, even patients who intend to take or have taken genetic tests have many unaddressed information needs regarding genetic testing. Existing genetic counseling falls short of adequately addressing this challenge.

Objective

This study aims to investigate the genetic testing–related information needs of patients with OC to inform the design of interactive technology-based interventions that can enhance communication of genetic testing information to patients.

Methods

We interviewed 20 patients with OC who had taken genetic tests and gathered genetic testing–related messages from an active OC web-based community. The interview transcripts and web-based community messages were analyzed using the qualitative content analysis method.

Results

Data analyses produced a comprehensive taxonomy of the genetic testing–related information needs of patients with OC, which included five major topic clusters: knowledge of genetic testing as a medical test, genetic testing process, genetic testing implications for patients, implications for family members, and medical terminology. Findings indicated that patients wanted to receive information that was relevant, understandable, concise, usable, appropriate, sympathetic, and available when needed. They also preferred various channels to receive information, including internet-based technologies, print, and conversations with health care providers.

Conclusions

Patients with OC need a range of information to address the uncertainties and challenges that they encounter while taking genetic tests. Their preferences for channels to receive information vary widely. A multichannel information delivery solution that combines both provider-led and peer-to-peer education models is needed to supplement existing genetic counseling to effectively meet the genetic testing–related information needs of patients with OC.

Consumers’ Evaluation of Online Health Information Quality: Meta-analysis (Preprint)

Background

The internet has become a major source of health information for general consumers. Web-based health information quality varies widely across websites and applications. It is critical to understand the factors that shape consumers’ evaluation of web-based health information quality and the role that it plays in their appraisal and use of health information and information systems.

Objective

This paper aimed to identify the antecedents and consequences of consumers’ evaluation of web-based health information quality as a means to consolidate the related research stream and to inform future studies on web-based health information quality.

Methods

We systematically searched 10 databases, examined reference lists, and conducted manual searches. Empirical studies that investigated consumers’ evaluation of web-based health information quality, credibility, or trust and their respective relationships with antecedents or consequences were included.

Results

We included 147 studies reported in 136 papers in the analysis. Among the antecedents of web-based health information quality, system navigability (ρ=0.56), aesthetics (ρ=0.49), and ease of understanding (ρ=0.49) had the strongest relationships with web-based health information quality. The strongest consequences of web-based health information quality were consumers’ intentions to use health information systems (ρ=0.58) and satisfaction with health information (ρ=0.46). Web-based health information quality relationships were moderated by numerous cultural dimensions, research designs, and publication moderators.

Conclusions

Consumers largely rely on peripheral cues and less on cues that require more information processing (eg, content comprehensiveness) to determine web-based health information quality. Surprisingly, the relationships between individual differences and web-based health information quality are trivial. Web-based health information quality has stronger effects on cognitive appraisals and behavioral intentions than on behavior. Despite efforts to include various moderators, a substantial amount of variance is still unexplained, indicating a need to study additional moderators. This meta-analysis provides broad and consistent evidence for web-based health information quality relationships that have been fractured and incongruent in empirical studies.

MEASURING THE SUCCESS OF ERP VIA ORGANIZATIONAL CLIMATE CONSTRUCTS

Agencies depend on enterprise resource planning (ERP) to achieve success. However, the factors that lead to the success and use of these ERP systems have not attracted the needed attention. This study investigates the factors that influence the success and use of an ERP system. The proposed model is based on a quantitative and a mixed-method case study (MM-CS). The results show that organizational climate has a positive effect on information quality, system quality, and service quality constructs of the DeLone and McLean IS success model. The quality constructs also affect user satisfaction negatively as compared to previous studies.

Establishing Trust in e-commerce Through Website Design Elements

It is expected that website design can lead to online trust, although research that systematically examines such a relationship is little. In addition, far too little attention has been paid to understand the effect of website design on e-trust across gender. In this study, therefore, three elements of website design (visual design, information design, and navigation design) are examined for their effect on consumer trust in e-commerce. Using data collected from 532 online shoppers , the overall model was first tested using structural equation modeling (SEM) analysis. The research model was then tested for each gender group separately. The results of the study indicated that website design is an important factor in establishing trust in e-commerce. Our results further revealed that website information design is more important to males than females in forming e-trust, while website navigation design is more important to females than males in forming e-trust. However, website visual design was found to be a key driver of e-trust for both males and females.

Analysing the impact of smart city service quality on citizen engagement in a public emergency

The outbreak of novel coronavirus disease 2019 (COVID-19) has brought great challenges to the improvement of global smart city services. To date, few studies have been conducted on the effects of service quality on citizen engagement in smart cities in a public emergency. Based on the stimulus-organism-response (SOR) model and uncertain management theory, this study analyses the impact of the service quality of smart city system on citizen engagement in a public emergency. Data were collected in Chinese smart cities. Three valuable and novel results are identified. First, high-quality information content, highly reliable systems and highly responsive systems have a significant positive effect on citizens' continuous experiences, but not on citizens' immediate experiences. Second, both the immediate and continuous experiences of citizens have a significant positive effect on citizen engagement. Third, continuous experiences impose a full mediation effect between information content and citizen engagement, between reliability and citizen engagement and between responsiveness and citizen engagement. As its main contribution, this study focuses on the construction of a theoretical model. Based on this model, smart city managers can understand citizens' reactions in public emergencies from stimulation to experience and their behaviours in relation to smart city services.

Gender Differences in Virtual Community Knowledge Sharing

Over the years, Web 2.0 and Web 3.0 have promoted and prospered user-generated content, ease of use, interoperability, and virtual communities. Indeed, a growing number of online platforms and virtual communities contribute to our society and economy by maximally sharing knowledge among numerous participants. Hence, it is necessary to understand the participation-motivation of knowledge sharing in various virtual communities. Using a sample of American virtual communities of interest, this study examines a model of knowledge sharing based on social capital theory and social cognitive theory. This research echoes prior studies with similar and even stronger evidence. Also, the results suggest a significant moderating effect of gender difference on knowledge sharing in virtual communities – when participants share a common language and vision.

We shall endure: Exploring the impact of government information quality and partisanship on citizens' well-being during the COVID-19 pandemic

Based on the information-as-coping perspective, we provided a theoretical framework to understand how the quality of government information and citizens' partisanship impact citizens' wellbeing in terms of satisfaction with life and anxiety during COVID-19. With survey data from 705 respondents in Indonesia, we found that government information quality is of vital importance in helping citizens get ready to fight the pandemic, as well as lowering their anxiety. Our results show that higher information quality leads to a higher ability to respond quickly to the crisis, as well as a reduced level of information overload. While partisanship is a significant predictor of information overload, it had no significant impact on perceived quick response ability. Quick response ability and information overload, in turn, predict anxiety and citizen's satisfaction with life.

Students' satisfaction and continued intention toward e-learning: a theory-based study

Coronavirus disease (COVID-19) has forced the urgent lockdown of schools and colleges worldwide. To ensure the continuity of education a shift from traditional teaching to e-learning was required. This study aims to identify factors that affect students' satisfaction and continued intention towards e-learning. A questionnaire was distributed to medical and dental students (second to sixth year) from different universities in Saudi Arabia. The study synthesizes the expectation-confirmation theory (ECT) and the theory of planned behavior (TPB) to predict students' satisfaction and intention to continue using e-learning using a validated self-administered questionnaire. We used the structural equation model to analyze the results and assess the study's hypotheses. A total of 870 completed questionnaires were received (67% response rate). The results showed that students were at a moderate level of satisfaction (median = 3.5). According to the ECT, both perceived usefulness and confirmation significantly influenced students' satisfaction (β = -.69 and β = .82, respectively). Satisfaction was the strongest predictor of students' continued intention (β = 1.95). Among the TPB constructs, perceived behavioral control (β = .51), attitudes (β = .39), and subjective norms (β = .36) had a significant positive influence on their intention to use e-learning. The results suggest efforts to increase students' satisfaction and intention with e-learning should be directed to adopting easy and useful e-learning platforms. In addition, training and motivating students to continue e-learning and increasing their confidence to ensure the effective and efficient use of such teaching modalities.

The Effectiveness of Online Platforms after the Pandemic: Will Face-to-Face Classes Affect Students’ Perception of Their Behavioural Intention (BIU) to Use Online Platforms?

The purpose of this study is to investigate students’ intention to continue using online learning platforms during face-to-face traditional classes in a way that is parallel to their usage during online virtual classes (during the pandemic). This investigation of students’ intention is based on a conceptual model that uses newly used external factors in addition to the technology acceptance model (TAM) contrasts; hence, it takes into consideration users’ satisfaction, the external factor of information richness (IR) and the quality of the educational system and information disseminated. The participants were 768 university students who have experienced the teaching environments of both traditional face-to-face classes and online classes during the pandemic. A structural equation modelling (SEM) test was conducted to analyse the independent variables, including the users’ situation awareness (SA), perceived ease of use, perceived usefulness, satisfaction, IR, education system quality and information quality. An online questionnaire was used to explore students’ perceptions of their intention to use online platforms accessibly in a face-to-face learning environment. The results showed that (a) students prefer online platforms that have a higher level of content richness, to be able to implement the three dimensions of users’ situation awareness (perception, comprehension and projection); (b) there were significant effects of TAM constructs on students’ satisfaction and acceptance; (c) students are in favour of using a learning platform that is characterised by a high level of educational system quality and information quality and (d) students with a higher level of satisfaction have a more positive attitude in their willingness to use the online learning system.