Context is king! Considering particularism in research design and reporting

Adoption of a COVID-19 Contact Tracing App by Czech Youth: Cross-Cultural Replication Study

BACKGROUND

During the worldwide COVID-19 pandemic crisis, the role of digital contact tracing (DCT) intensified. However, the uptake of this technology expectedly differed among age cohorts and national cultures. Various conceptual tools were introduced to strengthen DCT research from a theoretical perspective. However, little has been done to compare theory-supported findings across different cultural contexts and age cohorts.

OBJECTIVE

Building on the original study conducted in Belgium in April 2020 and theoretically underpinned by the Health Belief Model (HBM), this study attempted to confirm the predictors of DCT adoption in a cultural environment different from the original setting, that is, the Czech Republic. In addition, by using brief qualitative evidence, it aimed to shed light on the possible limitations of the HBM in the examined context and to propose certain extensions of the HBM.

METHODS

A Czech version of the original instrument was administered to a convenience sample of young (aged 18-29 y) Czech adults in November 2020. After filtering, 519 valid responses were obtained and included in the quantitative data analysis, which used structural equation modeling and followed the proposed structure of the relationships among the HBM constructs. Furthermore, a qualitative thematic analysis of the free-text answers was conducted to provide additional insights about the model's validity in the given context.

RESULTS

The proposed measurement model exhibited less optimal fit (root mean square error of approximation=0.065, 90% CI 0.060-0.070) than in the original study (root mean square error of approximation=0.036, 90% CI 0.033-0.039). Nevertheless, perceived benefits and perceived barriers were confirmed as the main, statistically significant predictors of DCT uptake, consistent with the original study (β=.60, P<.001 and β=-.39; P<.001, respectively). Differently from the original study, self-efficacy was not a significant predictor in the strict statistical sense (β=.12; P=.003). In addition, qualitative analysis demonstrated that in the given cohort, perceived barriers was the most frequent theme (166/354, 46.9% of total codes). Under this category, psychological fears and concerns was a subtheme, notably diverging from the original operationalization of the perceived barriers construct. In a similar sense, a role for social influence in DCT uptake processes was suggested by some respondents (12/354, 1.7% of total codes). In summary, the quantitative and qualitative results indicated that the proposed quantitative model seemed to be of limited value in the examined context.

CONCLUSIONS

Future studies should focus on reconceptualizing the 2 underperforming constructs (ie, perceived severity and cues to action) by considering the qualitative findings. This study also provided actionable insights for policy makers and app developers to mitigate DCT adoption issues in the event of a future pandemic caused by unknown viral agents.

Long-term effects of COVID-19 on work routines and organizational culture - A case study within higher education's administration

As a sudden, external event, the COVID-19 pandemic rapidly disrupted the workplace and required organizations to digitalize their working approaches. To understand how such external events affect organizations in the short- and long-term, we investigated the case of a higher education institution's administration, which combines features of public and private organizations. We applied a longitudinal case study and conducted interviews with 39 German higher education institution (HEI) employees at two time points during the first (2020) and second (2021) lockdown. Content analyses revealed that a general openness toward change and distinct technical infrastructure enabled efficient coping with the pandemic despite struggles with digitalization and rigidity. Advantages in work outcomes were contrasted with losses in social interactions. Flexible models (e.g., working from home or the office) were desirable long-term work concepts. We integrated our findings in a framework on factors that contribute to supporting organizational adaptations and derived practical recommendations.

From 'making up' professionals to epistemic colonialism: Digital health platforms in the Global South

Platforms have been studied in terms of their impact on knowledge production and generation of social value. Little however is known about the significance of the knowledge they transfer to the recipient communities-often in faraway countries of the Global South-or its potential perceived colonizing effects. Our study explores the question around digital epistemic colonialism in the context of health platforms involved in knowledge transfer. Using a Foucauldian lens, we study digital colonialism as a phenomenon that emerges from platforms' underpinning power/knowledge relations. Drawing upon a longitudinal study of MedicineAfrica-a nonprofit platform intended to offer clinical education to healthcare workers and medical students in Somaliland-we discuss interview findings from two phases: (a) with Somaliland-based medical students who studied MedicineAfrica as part of their medical studies, and (b) with medical professionals who attended a MedicineAfrica Continuing Professional Development (CPD) course on Covid-19 treatment/prevention. Our study shows how the platform 'makes up' healthcare professionals by offering opportunities for learning and skill development whilst instilling work values and ethos resembling Western medical identities. The platform was also perceived to produce subtle colonizing effects as its content embodies knowledge that (a) presupposes medical infrastructures that are absent in the recipient country; (b) is presented in English instead of participants' mother tongue; and (c) neglects the idiosyncrasies of the local context. The platform sets its tutees in a colonial condition in which they cannot fully practice what they learn; they cannot entirely engage with the subject they learn, taught as it is in a different language, and they do not necessarily learn about the medical conditions and the patients they encounter. This alienation from their local context, embraced by the platform's underpinning power/knowledge relations, is at the heart of digital epistemic colonialism and comes together with the social value the platform generates.

Active listening to customers: eco-innovation through value co-creation in the textile industry

Purpose

This study contributes to current efforts to design and implement sustainable innovation strategies in organisations from the textile industry. This study aims to examine how businesses can overcome the current challenges (e.g. lack of resources) of sustainable innovation by the incorporation of green knowledge of customers into their value co-creation strategies. Such strategies are based on actively listening to customers and addressing their expectations with regard to environmental sustainability, in particular in the face of the negative environmental impact of the fast-fashion industry.

Design/methodology/approach

The findings of this study are derived from the analysis of data collected from 208 small and medium enterprises (SMEs) in the Spanish textile sector. A partial least squares structural equation modeling analysis was conducted using version 3.3.3 of the SmartPLS software.

Findings

This paper contributes to the literature on environmental sustainability by informing SME eco-innovation through the active listening of their customers’ perceptions while implementing value co-creation strategies. The research has found that engaging with customers and actively listening and addressing their expectations can result in the creation of green knowledge that contributes to both incremental and radical eco-innovation in the textile sector.

Practical implications

This study found that when organisations from the sector lack eco-innovation capabilities, their existing and often their potential customer base is able to acquire new environmental knowledge and transfer it to the business through a process of value co-creation. The research also found that such green knowledge has the potential to lead to eco-innovation in the sector. In other words, the value co-creation process between the textile industry and its customers is a driver of the eco-innovations required to reduce the environmental impact of the sector, helping it address both its sustainability and its ethical challenges.

Originality/value

This study proposes that co-creation challenges such as the lack of resources, funding, qualified staff or technologies motivate companies in the textile sector to collaborate with their customers to seek joint solutions.

Adolescents’s Perception of Healthy Sexual Behavior: Containing Indonesian’s Philosophy of Life

The construct of healthy sexual behavior needs to consider the context in which the behavior will be applied by examining behavior based on a biopsychosocial-spiritual model approach. This study aims to describe the profile of adolescent healthy sexual behavior containing the Indonesian philosophy of life, both from the biological, psychological, social and spiritual aspects. The research design used was the development of a descriptive method, involving 1855 public and private high school students in the city of Bandung, West Java. Data was revealed by using a questionnaire and processed qualitatively through theme analysis and quantitatively by using Paired Samples Test and Manova. Based on the data processing, it was revealed that the profile of healthy sexual behavior of adolescents with the status of high school students in the city of Bandung, more than half of them had healthy sexual behavior, but there were still students who had healthy sexual behavior in the medium category and only a small proportion in the low category. Based on the aspects, the general picture of healthy sexual behavior on the physical and spiritual aspects tends to be high, while the psychological and social aspects tend to be moderate. The standard deviation of each school is fairly even, with a range of 0.475 to 0.723. The standard deviation by age with a range of 12 to 20 years varied from 0.524 to a high of 1.491. The standard deviation by class is almost equivalent, i.e. 0.570 to 0.645. Descriptive data shows that in general counseling teachers have provided sexual guidance services related to adolescent sexual development, dating and gender roles, but none of them have provided guidance on healthy sexual behavior, or vice versa the dangers of homosexual sexual behavior for adolescents. The data also shows that only 1 in 12 Guidance and Counseling teachers or 8.33% have heard and understood sexual guidance containing indigenous values, namely Pancasila as the philosophy of life of the Indonesian nation.

Going Beyond Deterrence: A Middle-Range Theory of Motives and Controls for Insider Computer Abuse

Reports indicate that employees are willing to share sensitive information under certain circumstances, and one-third to half of security breaches are tied to insiders. These statistics reveal that organizational security efforts, which most often rely on deterrence-based sanctions to address the insider threats to information security, are insufficient. Thus, insiders’ computer abuse (ICA)—unauthorized and deliberate misuse of organizational information resources by organizational insiders—remains a significant issue for industry. We present a motive–control theory of ICA that distinguishes among instrumental and expressive motives and internal and external controls. Specifically, we show that organizational deterrents (e.g., sanctions) do not create motives for ICA, but weaken existing motives (e.g., financial benefits). Conversely, financial benefits and psychological contract violations create motives to perform ICA, and insiders’ self-control diminishes the influence of these motives. The implications for practice are threefold: (1) organizations should make efforts to reduce psychological contract breach for employees by increasing the congruence between expectations and reality to reduce expressive motives for ICA; (2) organizations should seek maintain personnel with adequate self-control to diminish the impact of harmful ICA motives should they arise; and (3) organizations should develop targeted sanctions for committing ICA to control the harmful influence of financial motives.

Outcomes of government digitization and effects on accountability in Benin

Purpose

This paper aims to explain the impacts of the ongoing digitization reform in Benin. It demonstrates that a well-conducted reform can reduce corruption, improve performance and bring citizens closer to the administration. It also highlights the elements needed to ensure the success of such a reform.

Design/methodology/approach

The impacts of the digitization of services and processes on both administrative structures and accountability mechanisms are described and discussed through the analysis of interviews conducted with government officials and key external stakeholders.

Findings

Findings indicate that the implementation of new technologies has created difficulties for public servants and that reaching out to the entire population is still proving challenging. However, the reform has helped prevent abuses and corruption in management, and it has raised hopes of improving the state–citizen relationship in the long run.

Originality/value

This paper adds to the research on digitization, accountability and state–citizen relationships in developing countries. It fills a gap in the literature by directly analyzing the relationship between digitization and public accountability in Benin.

The mobile technological era: insights into the consequences of constant connectivity of personal devices by knowledge workers

Purpose

As employees’ adoption of Bring Your Own Device (BYOD) has increased, so has research interest into the impact of BYOD on human resources outcomes. The present study aims at understanding the relationship between BYOD and human resources outcomes.

Design/methodology/approach

The study employs the inductive data-driven content analysis approach to analyze the data collected through qualitative semi-structured interviews with a sample of 28 knowledge workers from different occupational sectors in Mauritius.

Findings

The results show the double-edged sword brought about by BYOD implementation. This trend is associated with perceived job performance, job satisfaction, organizational commitment and work motivation while also having an effect on work-life conflict and stress.

Practical implications

This study has implications for organizations that are concerned about formulating guidelines and policies in relation to workers' adoption of BYOD in the workplace. This trend permits employees to continue to communicate and work irrespective of new working conditions and social distancing since the Covid-19 pandemic has changed the way organizations operate around the globe.

Originality/value

Driven by the JD-R theory, themes and sub-themes were linked by the emerging relationships to present a conceptual framework to understanding employees' well-being since this is a pertinent research area for scholars and practitioners, as well as a topic of growing prominence for modern organizations.

Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study

Background

Recently, machine learning (ML) has been transforming our daily lives by enabling intelligent voice assistants, personalized support for purchase decisions, and efficient credit card fraud detection. In addition to its everyday applications, ML holds the potential to improve medicine as well, especially with regard to diagnostics in clinics. In a world characterized by population growth, demographic change, and the global COVID-19 pandemic, ML systems offer the opportunity to make diagnostics more effective and efficient, leading to a high interest of clinics in such systems. However, despite the high potential of ML, only a few ML systems have been deployed in clinics yet, as their adoption process differs significantly from the integration of prior health information technologies given the specific characteristics of ML.

Objective

This study aims to explore the factors that influence the adoption process of ML systems for medical diagnostics in clinics to foster the adoption of these systems in clinics. Furthermore, this study provides insight into how these factors can be used to determine the ML maturity score of clinics, which can be applied by practitioners to measure the clinic status quo in the adoption process of ML systems.

Methods

To gain more insight into the adoption process of ML systems for medical diagnostics in clinics, we conducted a qualitative study by interviewing 22 selected medical experts from clinics and their suppliers with profound knowledge in the field of ML. We used a semistructured interview guideline, asked open-ended questions, and transcribed the interviews verbatim. To analyze the transcripts, we first used a content analysis approach based on the health care–specific framework of nonadoption, abandonment, scale-up, spread, and sustainability. Then, we drew on the results of the content analysis to create a maturity model for ML adoption in clinics according to an established development process.

Results

With the help of the interviews, we were able to identify 13 ML-specific factors that influence the adoption process of ML systems in clinics. We categorized these factors according to 7 domains that form a holistic ML adoption framework for clinics. In addition, we created an applicable maturity model that could help practitioners assess their current state in the ML adoption process.

Conclusions

Many clinics still face major problems in adopting ML systems for medical diagnostics; thus, they do not benefit from the potential of these systems. Therefore, both the ML adoption framework and the maturity model for ML systems in clinics can not only guide future research that seeks to explore the promises and challenges associated with ML systems in a medical setting but also be a practical reference point for clinicians.

Understanding Inconsistent Employee Compliance with Information Security Policies Through the Lens of the Extended Parallel Process Model

A key approach in many organizations to address the myriad of information security threats is encouraging employees to better understand and comply with information security policies (ISPs). Despite a significant body of academic research in this area, a commonly held but questionable assumption in these studies is that noncompliance simply represents the opposite of compliance. Hence, explaining compliance is only half of the story, and there is a pressing need to understand the causes of noncompliance, as well. If organizational leaders understood what leads a normally compliant employee to become noncompliant, future security breaches might be avoided or minimized. In this study, we found that compliant and noncompliant behaviors can be better explained by uncovering actions that focus not only on efficacious coping behaviors, but also those that focus on frustrated users who must sometimes cope with emotions, too. Employees working from a basis of emotion-focused coping are unable to address the threat and, feeling overwhelmed, focus only on controlling their emotions, merely making themselves feel better. Based on our findings, organizations can enhance their security by understanding the “tipping point” where employees’ focus likely changes from problem-solving to emotion appeasement, and instead push them into a more constructive direction.Yan Chen is an associate professor at Florida International University. She received her PhD in management information systems from University of Wisconsin–Milwaukee. Her research focuses on information security management, online fraud, privacy, and social media. She has published more than 30 research papers in refereed academic journals and conference proceedings.Dennis F. Galletta is a LEO awardee, fellow, and former president of the Association for Information Systems and professor at University of Pittsburgh since 1985. He has published 108 articles and four books. He is a senior editor at MIS Quarterly and an editorial board member at the Journal of Management Information Systems, and has been on several other boards.Paul Benjamin Lowry is the Suzanne Parker Thornhill Chair Professor in Business Information Technology at the Pamplin College of Business at Virginia Tech. He has published more than 135 journal articles. His research areas include organizational and behavioral security and privacy; online deviance and harassment, and computer ethics; human–computer interaction, social media, and gamification; and decision sciences, innovation, and supply chains.Xin (Robert) Luo is Endowed Regent’s Professor and full professor of MIS at the University of New Mexico. His research has appeared in leading information systems journals, and he serves as an associate editor for the Journal of the Association for Information Systems, Decision Sciences Journal, Information & Management, Electronic Commerce Research, and the Journal of Electronic Commerce Research.Gregory D. Moody is currently Lee Professor of Information Systems at the University of Nevada Las Vegas, and director of the cybersecurity graduate program. His interests include information systems security and privacy, e-business, and human–computer interaction. He is currently a senior editor for the Information Systems Journal and Transactions on Human-Computer Interaction.Robert Willison is a professor of management at Xi’an Jiaotong–Liverpool University. He received his PhD in information systems from the London School of Economics. His research focuses on insider computer abuse, information security policy compliance/noncompliance, software piracy, and cyber-loafing. His research has appeared in refereed academic journals such as MIS Quarterly, Journal of the Association for Information Systems, Information Systems Journal, and others.

Capabilities for value co-creation and value capture in emergent platform ecosystems: A longitudinal case study of SAP’s cloud platform

Companies across industries are shifting toward a platform ecosystem strategy. By leveraging cloud computing technologies, companies aim to benefit from collaboration with a wide range of third-party developers within emergent platform ecosystems. To succeed, these companies need to develop new organizational capabilities to co-create and capture value in platform ecosystems. To understand what capabilities are crucial to establish platform ecosystems and how they contribute to value co-creation and value capture, we conducted a multi-year, in-depth case study of SAP’s cloud platform project. We identified (1) technology-related capabilities (cloud-based platformization, open IT landscape management) and (2) relationship-driven capabilities (ecosystem orchestration, platform evangelism, platform co-selling) and illustrate how these capabilities help the platform owner to enable and balance value co-creation and value capture in an emergent platform ecosystem. With our findings, we contribute to the discussion on how companies can overcome the challenging emergent phase of platform ecosystems. We thereby bridge literature on value creation in platform ecosystems and on organizational capabilities. Though we conducted our study in the context of the enterprise software industry, we discuss how our findings apply to prospective platform owners from different contexts.

Impact of knowledge-based organizational support on organizational performance through project management

Purpose

The purpose of this study is to empirically investigate how knowledge-based organizational support (KOS) influences organizational performance through project management.

Design/methodology/approach

Data were obtained from a survey and from archival sources with a time lag for the dependent variable; structural equation modeling was used to analyze the data. The sample was made up of 106 organizations in Colombia, considering two key respondents from each organization: general manager and project manager.

Findings

Results show that KOS is an antecedent of project management and project performance. Furthermore, project management and project performance play a mediating role between KOS and organizational performance.

Research limitations/implications

Research limitations are the following: use of cross-sectional data with a time lag, one single unit of analysis, organizational performance analyzed only from a financial perspective. Despite these limitations, the paper puts forward relevant implications that bridge knowledge management and project management literature by clarifying the conditions under which knowledge organizational support generates a significant impact on organizational performance. Intellectual capital and knowledge management dynamic capabilities play a relevant role in this connection.

Practical implications

The findings have important practical implications: decision-makers are to allocate effectively hard and soft resources to configure a knowledge-based infrastructure, through the development of intellectual capital and knowledge management dynamic capabilities.

Social implications

The findings are generalizable to projects management in the context of non-government organizations or other social-oriented initiatives.

Originality/value

This study assumes and operationalizes organizational support from a knowledge-based perspective, represented by intellectual capital and knowledge management dynamic capabilities, providing empirical evidence of the way KOS influences organizational performance through project management and project performance.

Trust me, I'm a bot – repercussions of chatbot disclosure in different service frontline settings

Purpose

Chatbots are increasingly prevalent in the service frontline. Due to advancements in artificial intelligence, chatbots are often indistinguishable from humans. Regarding the question whether firms should disclose their chatbots' nonhuman identity or not, previous studies find negative consumer reactions to chatbot disclosure. By considering the role of trust and service-related context factors, this study explores how negative effects of chatbot disclosure for customer retention can be prevented.

Design/methodology/approach

This paper presents two experimental studies that examine the effect of disclosing the nonhuman identity of chatbots on customer retention. While the first study examines the effect of chatbot disclosure for different levels of service criticality, the second study considers different service outcomes. The authors employ analysis of covariance and mediation analysis to test their hypotheses.

Findings

Chatbot disclosure has a negative indirect effect on customer retention through mitigated trust for services with high criticality. In cases where a chatbot fails to handle the customer's service issue, disclosing the chatbot identity not only lacks negative impact but even elicits a positive effect on retention.

Originality/value

The authors provide evidence that customers will react differently to chatbot disclosure depending on the service frontline setting. They show that chatbot disclosure does not only have undesirable consequences as previous studies suspect but can lead to positive reactions as well. By doing so, the authors draw a more balanced picture on the consequences of chatbot disclosure.

The Deterrent Effect of Ride-Sharing on Sexual Assault and Investigation of Situational Contingencies

Research Spotlight

Shared mental models and perceived proximity: a comparative case study

Purpose

The aim of this study is to understand how virtual teams experience perceived proximity. Existing literature suggests that perceived proximity can be achieved through quality communication and increased identification. However, not much is known as to how these two may be achieved within the context of virtual teams.

Design/methodology/approach

The authors address their research question through a comparative case study, with the help of two virtual teams of software developers and the authors adopt a subset from the Constructivist Grounded Theory Method procedures for the purposes of coding to understand the potential explanations regarding the two teams' differences in perceptions of perceived proximity.

Findings

The authors’ study shows that shared mental models support quality communication and team members to identify with the shared values of their team. Quality communication is easier achieved when the team shares a dynamic and evolving understanding of the tools for communication and collaboration. The authors also draw attention to the importance of how work is organised and the influence of the temporal dimension on virtual teams beyond the temporal organisation of collaborative work.

Originality/value

The value of this study is found in its contribution towards the development of a formal connection between perceived proximity and shared mental models, that is empirically grounded, and which holds an explanatory value in addressing how perceived proximity can be supported rather than compromised.

Investigating inclusive entrepreneurial ecosystem through the lens of bottom of the pyramid (BOP) theory: case study of Taobao village in China

Purpose

Entrepreneurial ecosystem is a frontier issue in the field of enterprise strategy and entrepreneurship. As suggested by bottom of the pyramid (BOP) theory, entrepreneurs from base of the pyramid can gain the benefits of economic growth by obtaining equal entrepreneurial opportunities with appropriate support and motivation. However, theoretical framework to understand the ecosystem and help the people from the BOP to benefit from ecosystem is under-researched. Based on the investigation of the Taobao ecosystem case study, this paper developed a multi-layer framework to fill in the research gap.

Design/methodology/approach

This research adopts case study methodology for several reasons. First, case study methodology fits the explorative nature of this research to understand “what” and “how” a phenomenon happened (Yin, 2017). Second, case study research design can specify gaps or holes in existing theory with the ultimate goal of advancing theoretical explanations (Ridder, 2016). And third, it can provide researchers with contextual richness (Davison and Martinsons, 2016; Spigel, 2017).

Findings

Based on the literature review of the entrepreneurial ecosystem and the theory of the BOP, the initial framework of the inclusive entrepreneurial ecosystem is proposed. And then, based on the investigation of the Taobao village which is the typical inclusive entrepreneurial ecosystem, this paper explored how the inclusive entrepreneurial ecosystem emerges, develops and realises the co-creation between multiple actors. The emergence of Taobao village entrepreneurial ecosystem is because of the fact that ICT empowers BOP entrepreneurs. The development of entrepreneurial ecosystem presents a point-line-plane diffusion path, and co-creation to enhance inclusive entrepreneurship is realised by interaction and cooperation within social networks and integration of resources. Then, the framework of inclusive entrepreneurial ecosystem is further modified.

Research limitations/implications

The complexity of entrepreneurial ecosystem facing BOP poses a major challenge to its actual operation. Therefore, it is necessary to study the driving factors of inclusive entrepreneurial ecosystems. In particular, ecosystem is a purposeful collaborative network of dynamic interactive systems, which has a set of changing dependencies in a given context. Research is still limited on socioeconomic actors’ interaction with each other in each stage to promote the evolution of entrepreneurial ecosystem. The extent to which they are intentionally designed or organically produced is still unclear, which is recommended for future study in this field.

Practical implications

It provides theoretical understanding on how to successfully form sustainable entrepreneurial ecosystem by integrating BOP entrepreneurs in value chain. The successful experience of Taobao village can provide contributions and implications for the management in practice. On the one hand, this can provide theoretical guidance for other countries and regions to build inclusive entrepreneurship ecosystems and help them to check and fill the gaps and build inclusive entrepreneurship ecosystems based on their local characteristics. On the other hand, this study provides theoretical guidance for solving the problem of poverty at the BOP, transforming the poor from the objects of help to successful entrepreneurs and thus realising regional sustainable development.

Originality/value

The significance of this study is to provide theoretical understanding on how to successfully form entrepreneurial ecosystem by practical investigation of entrepreneurial “habitat” at the BOP.

The Usefulness of the Two-Step Normality Transformation in Retesting Existing Theories

The Two-Step normality transformation has been shown to reliably transform continuous variables toward normality. The procedure offers researchers a capable alternative to more prominent methods, such as winsorization, ranking, and power transformations. We demonstrate its utility in the context of the Productivity Paradox literature stream, which is renowned for inconsistent results. This paper demonstrates that the Two-Step normality transformation, which has not been used in Productivity Paradox research, may produce greater goodness-of-fit and affect theoretical understandings on the topic. We use a classic Productivity Paradox dataset to show that compared to the prominent normality transformations, the Two-Step produces unique findings, including 1) regression coefficients more closely resembling the original data, 2) different effect sizes and significance levels, and 3) strengthening evidence for fundamental theories in Productivity Paradox literature. We demonstrate results that challenge uncertainties about the relationship between IT investment and firm performance. Our results imply that the Two-Step procedure should be considered a viable transformation option in future information systems research.

Many hands make light work: towards a framework of digital co-production to co-creation on social platforms

Purpose

Recent technological advances have enabled consumers and citizens to contribute to organizational processes through co-production and co-creation in ways that challenge traditional co-production. However, the practices and capabilities for value co-creation are less understood, particularly in an increasingly networked social government ecosystem. The purpose of this research is to examine the enablement of new digital co-production practices in social media platforms (SMPs) and theorize SMP-enabled digital co-production vis-à-vis traditional co-production for public sector.

Design/methodology/approach

Primarily using principles of interpretivist approaches, a qualitative content analysis of communication practices (i.e. genres) observed within Australian government Facebook pages was carried out to examine the salient digital forms of co-production practices.

Findings

SMPs enable new practices in digital co-production for public sector (information dissemination, Q&A, feedback and co-creation), ranging from lower to higher intensity in terms of resource integration, scale of contributions, engagement and extent of relationship vis-à-vis traditional co-production.

Research limitations/implications

This research is bounded by its geographical emphasis on Australian Federal government. Hence, the results may not be readily transferable to other contexts.

Practical implications

Our framework offers an array of choices for digital co-production strategies to suit agency's focus and goals for engagement in the Facebook Pages. As agencies progress to reach higher intensity co-production, public engagement and impact increases.

Originality/value

The paper contributes to co-production in social government ecosystem by increasing the theoretical and practical understanding of new form of SMP-enabled digital co-production defined as “small-scale, repetitive, user-driven co-production that is flexible, durable, ad-hoc, and sporadic, where many hands make light work”. The proposed “co-production to co-creation” framework provides valuable guideline for enhancing public service provision via SMPs.

Appropriating Information Technology Artefacts through Trial and Error: The Case of the Tablet

The concept of appropriation is of paramount importance for the lasting use of an Information Technology (IT) artefact following its initial adoption, and therefore its success. However, quite often, users' original expectations are negatively disconfirmed, and instead of appropriating the IT artefact, they discontinue its use. In this study we examine the use of IT artefacts following negative disconfirmation and use Grounded Theory Method techniques to analyse 136 blogposts, collected between March 2011 - July 2017, to investigate how users appropriate or reject the tablet when technology falls short of users' expectations. Our findings show that users overcome negative disconfirmation through a trial and error process. In doing so, we identify that users appropriate the tablet when the attained benefits significantly outweigh the risks or sacrifices stemming out of its use. We discuss our contribution within the context of the appropriation literature, and highlight that the success of IT lies with the user's success in identifying personal use scenarios within and across diverse contexts of use.

A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment

Research has shown that aggregation of independent expert judgments significantly improves the quality of forecasts as compared to individual expert forecasts. This “wisdom of crowds” (WOC) has sparked substantial interest. However, previous studies on strengths and weaknesses of aggregation algorithms have been restricted by limited empirical data and analytical complexity. Based on a comprehensive analysis of existing knowledge on WOC and aggregation algorithms, this paper describes the design and implementation of a static stochastic simulation model to emulate WOC scenarios with a wide range of parameters. The model has been thoroughly evaluated: the assumptions are validated against propositions derived from literature, and the model has a computational representation. The applicability of the model is demonstrated by investigating aggregation algorithm behavior on a detailed level, by assessing aggregation algorithm performance, and by exploring previously undiscovered suppositions on WOC. The simulation model helps expand the understanding of WOC, where previous research was restricted. Additionally, it gives directions for developing aggregation algorithms and contributes to a general understanding of the WOC phenomenon.