In a dynamic environment, organisations are increasingly compelled to utilise big data analytics (BDA) to develop organisational resilience, which will help them weather disruptions and gain competitiveness. By investigating 213 Chinese firms across a diverse array of industries, this study seeks to uncover the mechanisms and boundary conditions through which BDA capability affects firm performance. Drawing on the organisational capabilities-based theory and information technology-enabled organisational capabilities perspective, we both theoretically and empirically verify that two types of organisational resilience (i.e., proactive resilience and reactive resilience) mediate the relationship between BDA capability and firm performance. Our findings reveal that environmental dynamism positively moderates the impact of BDA capability on reactive resilience and strengthens the positive mediation effect of reactive resilience on the relationship between BDA capability and firm performance. This study contributes to the information systems literature by theoretically and empirically clarifying the pivotal roles of proactive resilience and reactive resilience as mediating mechanisms and by describing the contingent effect of environmental dynamism on the relationship between BDA capability and performance. The results provide new insights into how managers deploy BDA to achieve superior performance in a dynamic environment.

The heightened sophistication of phishing attacks results in billions of dollars of financial losses, loss of intellectual property, and reputational damage to organisations. Past work examining determinants of phishing susceptibility has been dominated by cognitive theoretical perspectives. However, recent research has also revealed the importance of emotion in phishing susceptibility. This study expands our understanding of phishing susceptibility by adopting an affective lens. Using an integrative perspective of emotion, we build on the Affective Infusion Model (AIM) to predict the effects of valence, certainty, and arousal on phishing susceptibility. We pilot our manipulations (N = 241) and then test our hypotheses using a mock phishing experiment (N = 474) in which phishing messages are sent directly to participant inboxes. We demonstrate that messages inducing positive valence and low certainty result in higher phishing susceptibility. This study contributes to phishing literature by illuminating the critical role that emotion plays in altering recipients’ susceptibility in the processing of phishing messages and has implications for scholars, practitioners, and organisations.

Online Health Communities (OHCs) have emerged as a pivotal resource for individuals managing chronic diseases, serving as a vital supplement to traditional healthcare delivery systems. This study seeks to investigate the dynamics of OHC engagement among users with chronic diseases at various stages of their membership lifecycle. We hypothesize that the initial objectives users have when joining OHCs significantly shape their continued involvement. By embracing the theories of Uses and Gratifications (U&G) and Social Support (SST), we examine how users' goals for seeking information and emotional support, as well as the support they receive in these areas, influence their progression through different stages of engagement. Our empirical analysis uncovers that the goal of seeking information is most closely associated with the selection stage, while the goals of seeking emotional support and receiving emotional support are more closely linked to the commitment stage. Moreover, the degree of alignment between seeking emotional support and receiving emotional support has a significant impact on users' commitment stage activities, whereas the alignment between seeking information and receiving informational support does not significantly affect users' activities. The pattern of user interaction also plays a role in shaping their commitment stage activities and moderates the relationship between emotional support and commitment stage engagement. Our findings can guide OHC moderators and healthcare providers in more effectively leveraging OHCs for healthcare-related purposes.

Online healthcare services are increasingly recognized as a crucial element in the innovation of medical service delivery. However, these services are still in a nascent stage. The supply of doctors’ services is crucial for the survival and development of online healthcare platforms. Especially, how to motivate the service supply of doctors effectively has always been a challenge faced by online healthcare platforms. Gamification, such as distinction badges, is touted as a potential remedy for these issues. Despite the widespread implementation of distinction badges in healthcare management to motivate doctors’ behavior, their effects on patient satisfaction are not yet well-established. To explore these questions, we formulated four hypotheses based on the expectation confirmation theory and tested them through an econometric analysis and a controlled laboratory experiment. Our research revealed that distinction badges did not enhance patient satisfaction; instead, they led to a decrease. Our empirical findings suggest that doctors with high-ranking titles and those from key hospitals experienced a less negative impact from distinction badges. Conversely, doctors without such titles and from non-key hospitals faced a more pronounced negative effect. Additionally, the adverse impact of distinction badges was more significant for doctors who were more active contributors online. Our study not only contributes to the literature on decision-making for online healthcare services and gamification but also offers valuable practical recommendations for gamification designers and platform decision-makers seeking to improve patient satisfaction.

Live streaming technologies transform the information processing of customers by changing the way they interact with and acquire information. However, this emerging technological artefact may induce both positive and negative consequences for customer decision making. It is yet unknown what constitutes the dimensions of the juxtaposed IT affordances and how they affect customer behaviours in this new social phenomenon. This paper contributes to IS research by uncovering the specific bright and dark sides of IT affordances in live streaming e-commerce and by explaining the cognitive mechanisms underpinning customer purchase and brand citizenship behaviours. We employed a sequential mixed-methods design to embrace and contextualise the theory of affordance, vicarious learning, and cognitive load to rigorously develop a theoretical framework of the juxtaposed IT affordance in live streaming e-commerce. The results indicate that positive affordances (e.g., interactivity, visibility, and entertainment) have stronger effects on both economic and non-economic value. However, the potential dark side (e.g., broadcasting and source diversity) has more negative effects on purchase intention than brand citizenship behaviour, underscoring the importance of involving customers in co-creating brand-related value in live streaming e-commerce. Our findings contribute considerably to the emerging literature on live streaming e-commerce and provide actionable recommendations for practitioners.

Building on resource-based theory, we seek to explore the underlying impact of social and technical resources on e-commerce capabilities under top management support. To fully capture and understand the relationship between these important constructs, we apply a combination of complementary techniques, namely, advanced analysis of composites structural equation modelling (ADANCO-SEM) in Study 1 and fuzzy-set qualitative comparative analysis in Study 2. Study 1 findings show that e-commerce infrastructure and skills, in addition to guanxi, positively affect e-commerce capabilities. Furthermore, top management support positively moderates the relationship between e-commerce infrastructure and e-commerce capabilities, but it has no effect on the relationship between guanxi and e-commerce capabilities and on the relationship between e-commerce skills and e-commerce capabilities. Based on the findings of Study 1, Study 2 further unveils two configurations – guanxi and e-commerce infrastructure, and guanxi and e-commerce skills – that can lead to e-commerce capabilities. The moderating effect of guanxi is confirmed empirically in post hoc analysis. These results refine the findings in the ADANCO-SEM analysis concerning the conditions for the formation of e-commerce capabilities. The empirical findings can help firms use organisational resources more efficiently and thus develop e-commerce capabilities and gain competitive advantages.

To advance the stream of culture-themed Information Systems (IS) research, this study ushers in the cultural tightness-looseness (CTL) theory and conceptualises the focal construct, the cultural tightness (CT), into the social media usage context. By integrating the CTL theory and the customer value perspective, this study proposes a research model to examine how an espoused tight culture affects individuals’ value assessment and behaviour of social media use. The model is validated using a cross-sectional field survey dataset of Chinese social media users, sampling a typical tight culture. The findings demonstrate that the espoused tight culture plays a paramount role in influencing users’ value assessment and usage behaviour related to social media. This study contributes to the cultural IS literature by providing a context-specific understanding of overall cultural interactions of social media use in a tight culture.

E-commerce businesses have been developing new ways of engaging customers in the online service recovery process to realise value co-creation. Such practices have been facilitated by the rapid development of information and communication technology. However, scant research has been conducted on these changes. To bridge this research gap, we explain how the application of technology guides and shapes customers’ responsibilities in online service recovery by constructing the concept of technology-driven mandatory customer participation (MCP), which is a new recovery strategy from the perspective of technology affordance. Moreover, we propose a comprehensive model to explain the influence mechanism of technology-driven MCP on value co-creation. Two sequential studies were then conducted. The first was an initial qualitative study based on interviews with e-commerce practitioners in China, in which three factors of technology-driven MCP (physical, mental, and emotional) and two categories of loss (utilitarian and symbolic) were identified. The second quantitative study explored and validated the relationships between technology-driven MCP, perceived co-creation, experienced burnout, and online post-recovery satisfaction from a loss-aversion perspective. The theory-driven empirical findings provide recommendations for e-commerce businesses to enhance online service management.

This paper examines the role of contextual factors and negative critical incidents as drivers of wearable discontinuance. We adopt a process perspective to understand wearable discontinuance by collecting data from long-time wearable users who have permanently discontinued their use and have no intention of reusing them. We adopt a multistage research design and collect data through the critical incident technique. Inductive data analysis reveals that both critical incidents and contextual factors impact wearable discontinuance, and the former is tethered to the purpose of wearable use. The study proposes pathways in the volitional information systems discontinuance process model and offers theoretical and practical contributions.

Despite the dominance of customer co-creation experience value (CCEV) in the value co-creation research, its theoretical domain has not been systematically analysed and developed. Specifically, little is known about the nature of social media-enabled CCEV. To address the knowledge gaps, this study employs a five-step procedure to develop a conceptualisation and instrument of CCEV construct in a social media context. First, drawing on the relevant literature, we determine the conceptual framework, definition, and assumptions of CCEV. Second, we employ grounded theory methodology to analyse customer review data from three representative social media sites and identify the dimensions of CCEV (four themes consisting of 10 dimensions). Third, we create an item pool of CCEV based on the prior work and in-depth interviews of 10 customers. In the fourth and fifth steps, we collect three waves of quantitative data to develop and validate the instrument including item refinement (n1 = 234), instrument validation (n2 = 521), and nomological validity examination (n3 = 615). The results indicate that the instrument exhibits satisfactory reliability and validity. Our work contributes to theory and practice by presenting a context-specific and fine-grained conceptualisation of CCEV and a reliable and valid survey instrument.

Big data analytics (BDA) and artificial intelligence (AI) may provide both bright and dark sides that may affect user participation in ridesharing. We do not know whether the juxtaposed sides of these IT artefacts influence users’ cognitive appraisals, and if so, to what extent will their participative behaviour be affected. This paper contributes to the IS research by uncovering the interplay between the dark and bright sides of BDA and AI and the underlying mechanisms of cognitive appraisals for user behaviour in ridesharing. We performed two phases of the study using mixed-methods. In the first study, we conduct 21 semi-structured interviews to develop the research model. The second study empirically validated the research model using survey data of 332 passengers. We find that the usage of BDA and AI on ridesharing platforms have a bright side (usefulness, “the good”) but also a dark side (uncertainty and invasion of privacy, “the bad and the ugly”). The bright side generates perceived benefits, and the dark side shape perceived risks in users, which discount the risks from the benefits of using the ridesharing platform. Privacy control exerts a positive effect on the perceived benefits to encourage individuals to use the ridesharing platform.

The relationship between abusive supervision and employee workplace deviance has received much attention. Conceptualizing information systems (IS) misuse as a form of workplace deviance, the literature on IS security lacks a theoretical and empirical investigation of the relationship between abusive supervision and employee IS misuse. Drawing on retaliation, displaced aggression, and neutralization, we develop and empirically test a research model of the relationships among abusive supervision, neutralization, and two types of employees’ IS misuse. Results of a two-stage survey of 203 responses showed that when individuals perceived abusive supervision, they were likely to invoke the metaphor of the ledger as a neutralization technique to rationalize their engagement in IS misuse. Our results also reveal that employees’ reactions to abusive supervision could be influenced by their tenure with supervisor. These findings contribute to the IS security field and provide important guidance for learning how leaders influence employees’ IS security behaviors.

Commercial organizations and government agencies that gather, store, share and disseminate data are facing increasing concerns over individual privacy and confidentiality. Confidential data is often masked in the database or prior to release to a third party, through methods such as data perturbation. In this study, re-identification risks of three major additive data perturbation techniques were compared using two different record linkage techniques. The results suggest that re-identification risk of Kim's multivariate noise addition method is similar to that of simple noise addition method. The general additive perturbation method (GADP) has the lowest re-identification risk and therefore provides the highest level of protection. The study also suggests that Fuller's method of assessing re-identification risk may be better suited than the probabilistic record-linkage method of Winkler, for numeric data. The results of this study should be help organizations and government agencies choose an appropriate additive perturbation technique.

We utilize choice-based conjoint analysis (CBC), a novel methodological approach for IS decision-making research, to investigate the relative importance of the critical factors in the decision models of consumers when evaluating intention to use mobile office services. From a survey of working professionals, we extract the hierarchy of relative importance of each critical factor influencing the adoption decision. We found that moderate usefulness is the threshold that vendors should try to achieve and simple design does not differ significantly from the design with moderate complexity. The applicability of CBC analysis in IS research is established; guidelines and implications for IT designers, managers, and researchers are presented. Our findings enable practitioners to pursue practical questions such as: 1) which factors are consumers most concerned with when electing to adopt MO technology for professional communications? and 2) what is the tradeoff that consumers might make for accepting and adopting MO technology?

Instant messaging (IM) technologies are being rapidly deployed in the workplace. Current studies largely focus on the adoption of IM and how IM is used. Little research has been conducted to understand the potential impact of using IM in the workplace. This paper theorizes and empirically tests how the frequency of IM interruptions and the position power of message sender could interact with an individual’s polychronic orientation, that is, multitasking preference, and jointly influence employee satisfaction and subjective task complexity. The present study illustrates that polychronic knowledge workers are more satisfied with the multitasking work process deploying IM technology than monochronic ones. In addition, the effect of interruptions is dependent upon an individual’s polychronic orientation. The increase in interruption frequency only reduces the process satisfaction of monochronic individuals but not polychronic individuals. Further, the polychronic orientation of message receivers also influences how they process information. When IM messages are sent from their supervisors, monochronic individuals tend to prioritize tasks and perceive a lower level of overall task complexity. The information processing of polychronic individuals seem to be less influenced by the position power of message sender.

As one of the most common authentication methods, passwords help secure information by granting access only to authorized parties. To be effective, passwords should be strong, secret, and memorable. While password strength can be enforced by automated information technology policies, users frequently jeopardize secrecy to improve memorability. The password memorability problem is exacerbated by the number of different passwords a user is required to remember. While short-term memory theories have been applied to individual-password management problems, the relationship between memory and the multiple-password problem has not been examined. This paper treats the multiple-password management crisis as a search and retrieval problem involving human beings’ long-term memory. We propose that interference between different passwords is one of the major challenges to multiple-password recall and that interference alleviation methods can significantly improve multiple-password recall. A lab experiment was conducted to examine the effectiveness of two interference alleviation methods: the list reduction method and the unique identifier method. While both methods improve multiple-password recall performance, the list reduction method leads to statistically significant improvement. The results demonstrate the potential merit of practices targeting multiple-password interference. By introducing long-term memory theory to multiple-password memorability issues, this study presents implications benefiting users and serves as the potential starting point for future research.