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The sharing economy, enabled by digital platforms, which connect providers and consumers for peer-to-peer exchanges, experienced rapid growth in recent years. Although researchers attempted to explore the societal or business impact of the sharing economy market, little is known about how individual providers operate their businesses, given that providers are capacity-constrained, self-scheduled and unprofessional. In this study, we are interested in the relationship between experience and providers' order selection behaviours. Leveraging a rich and proprietary dataset from a large sharing economy platform—which facilitates the exchanges of home-cooked meals in China—and employing multiple identification strategies and estimation methods, we find that the number of orders declined by a provider first increases with their experience, but later decreases. However, their sales revenue keeps increasing with experience. Our investigation further reveals that this happens because providers adjust their order selection strategies at different experience levels to achieve higher revenue in the sharing economy. Our study is among the pioneering studies to empirically understand providers' market behaviours in the sharing economy and offers important practical implications.
The emergence of Fintech platforms has revolutionized the way financial services are provided. And yet, in spite of their growing prominence in the global financial sector, there remains a lack of understanding of the competitive strategies that are appropriate for these platform-based businesses, and the implications of those strategies for their performance. Examining four case studies of some of the most successful Fintech platforms in China from the theoretical perspective of the core logics of strategy, we develop a theoretical framework that suggests that the nature of the competitive strategies deployed by a Fintech platform should be contingent on (1) the extent to which their services can be differentiated, as well as (2) the tangibility and physical presence of the platform’s service offerings. More specifically, our framework presents four different combinations of competitive strategies that Fintech platforms can adopt contingent on the nature of their services along these two dimensions. In addition, beyond the two dimensions, our framework suggests that all Fintech platforms should be underpinned by a common strategic core consisting of strategies that align the platform with social pressures. These pressures include those exerted by the government, the market, and society in general. With its findings, it is hoped that our study will provide specific guidance for Fintech practitioners on the appropriate competitive strategies to adopt in order to set their platforms on the path of commercial success.
As physical products are increasingly augmented with digital technology, manufacturing firms have become part of the development of so-called smart products and smart services. As such, manufacturing firms are challenged by new market participants and ecosystem partners, particularly from the software development industry, and by the dynamic nature of business relationships. While the academic literature on the distinctive characteristics of ecosystems, particularly digital ecosystems, is rich, the effect of smart service ecosystems' emergence on the foundation of smart products remains uncertain. This study reports on case study research based on 47 semi-structured interviews with four companies that participate in an industrial smart service ecosystem. Taking an affordance-theoretic perspective, we uncover the antecedents of and the process of emergent smart service ecosystems. We find that smart service ecosystems have three socio-technical antecedents: a shared worldview, structural flexibility and integrity, and architecture of participation. We explain the emergence of smart service ecosystems as the result of specialisation in shared affordances and integration of idiosyncratic affordances into collective affordances. We derive seven propositions regarding the emergence of smart services, outline opportunities for further research, and present practical guidelines for manufacturing firms.
Social media platforms enable like-minded users to form online groups, interact and thereby contribute to ideological polarisation. However, online groups also polarise along a continuum of liking or affect for their group compared to other groups. We explore affective polarisation on social media and its implications for online intergroup interaction. Using social identity theory, we investigate the effects of group identification, passion, and affective polarisation on social media users' intergroup approach and avoidance tendencies. We test the research model in the context of political groups on social media. We find group identification contributes to affective polarisation by strengthening favouritism for the ingroup rather than hostility for the outgroup. Although those with greater group identification prefer to confront (approach) the opposition group on social media, the behaviour is a function of inflated feelings for the ingroup more so than animus for the outgroup. Interestingly, users with greater affective polarisation tend to shut out (avoid) the rival group on social media. Our findings imply affective polarisation contributes to group isolation that may exacerbate ideological polarisation.
Political polarisation has become an increasingly alarming issue in society, exacerbated by the widespread use of social media and the development of filter bubbles among social media users. This environment has left users susceptible to disinformation, especially those with whom a user is politically aligned. In this research, we integrate truth bias, elaboration likelihood model and new media literacy into a model for explaining social media engagement (with both disinformation and factual information) and analysing how political polarisation (operationalised as political alignment between users) influences perceptions and behaviours. Using an experimental design, we analyse the model separately for posts containing disinformation and factual information, highlighting key differences. Political alignment positively moderates truth bias's effect on engagement with disinformation. For both disinformation and factual information, political alignment moderates the effect of generalised communicative suspicion (GCS) on truth bias, such that GCS's effect on truth bias flips from negative to positive as political alignment increases. Issue involvement and political alignment appear to be the primary drivers of disinformation engagement, with critical consuming media literacy failing to mitigate engagement. Our findings contribute to the understanding of persuasion, conviction, amplification, polarisation and aversion related to fake news on social media.
Studies on employee responses to the information security policy (ISP) demands to show that employees who experience stress over the demands would resort to emotion-focused coping to alleviate the stress and subsequently violate the ISP. However, their intent to engage in problem-focused coping to meet the ISP demands and possibly reduce ISP violations has yet to be analysed. We argue that both types of coping responses coexist in employee responses to ISP demands and they together influence ISP violation intention. Drawing upon the Transactional Model of Stress and Coping, we examine how security-related stress (SRS) triggers inward and outward emotion-focused coping, and problem-focused coping to the ISP demands, which together influence employee ISP violations. We also examine how ISP-related self-efficacy and organisational support moderate the effects of SRS on coping responses. We surveyed 200 employees in the United States to test our model. The results indicate that SRS triggers all three coping responses, and ISP-related self-efficacy and organisational support reduce the effects of SRS on inward and outward emotion-focused coping. Problem-focused coping then decreases ISP violation intention, whereas inward and outward emotion-focused coping increases it. The model was further verified with ISP compliance as the outcome construct, which yielded consistent results. Understanding various coping responses to SRS and the factors that facilitate or inhibit the responses can assist managers in effectively designing and implementing the ISP to reduce employee ISP violations.
The success of crowdsourcing (CS) systems depends on sustained participation, which is an ongoing challenge for the majority of CS providers. Unfortunately, participants are frequently demotivated by technical difficulties and the incorrect use of CS systems, which can result in CS failure. Although the literature generally assumes that sustained participation in CS is determined by a shift between intrinsic and extrinsic motivation, the role of system-use practices in facilitating such a shift remains unknown. We explore how CS system-use practices influence participants' sustained motivation, evolving from initiation to progression to sustention. Using the notion of technology-in-practice as a lens, we develop and examine a process model using an in-depth case study of a large-scale ongoing CS project, the Australian Newspaper Digitisation Program. The findings suggest that CS participants' motivation is shaped by an evolving combination of three basic components (i.e., contextual condition, outcome and action intensity) and mediated by two types of system-use practice (i.e., passive and active). Passive-use practices facilitate sustaining motivation from initiation to progression, whereas active-use practices have a key role in sustention. Our study contributes to the emerging literature on the substantial role of system-use practices in sustaining motivation, resulting in sustained participation. The findings also offer actionable insights into improving the viability of CS systems in retaining and motivating continuous and increased contributions from participants.
While organisations are increasingly interested in artificial intelligence (AI), many AI projects encounter significant issues or even fail. To gain a deeper understanding of the issues that arise during these projects and the practices that contribute to addressing them, we study the case of Consult, a North American AI consulting firm that helps organisations leverage the power of AI by providing custom solutions. The management of AI projects at Consult is a multi-method approach that draws on elements from traditional project management, agile practices, and AI workflow practices. While the combination of these elements enables Consult to be effective in delivering AI projects to their customers, our analysis reveals that managing AI projects in this way draw upon three core logics, that is, commonly shared norms, values, and prescribed behaviours which influence actors' understanding of how work should be done. We identify that the simultaneous presence of these three logics—a traditional project management logic, an agile logic, and an AI workflow logic—gives rise to conflicts and issues in managing AI projects at Consult, and successfully managing these AI projects involves resolving conflicts that arise between them. From our case findings, we derive four strategies to help organisations better manage their AI projects.
The current technology epoch—sometimes called the fourth industrial revolution (4IR)—involves the innovative application of rapidly advancing digital technologies such as artificial intelligence. Societal implications of the 4IR are significant and wide-ranging, from life-saving drug development to privacy loss and app addiction. A review of the information systems literature, however, reveals a narrow focus on technology-enabled business benefits. Scant research attention has been paid to the role of humans and humanistic outcomes. To spur new research addressing these issues, formalised affordance theory is employed to develop a new 4IR conceptualization. Four groupings of affordances that capture salient 4IR action possibilities are developed within two categories: machine emulation of human cognition (expansive decision-making and creativity automation) and machine emulation of human communication (relationship with humans and intermachine teaming). Implications are explored in the context of human-machine coworking and the development of artificial intelligence safety regulations. Overall, the affordance conceptualization of the 4IR advances a new sociotechnical lexicon of action possibilities and their joint enactment in achieving humanistic and instrumental outcomes, enabling alignment of the scope of 4IR research with the scope of 4IR phenomena—and bringing humans back into the loop.
Existing research on technology affordance rarely considers the role of social structures in shaping the interaction between human actors and technology. In this paper, we draw upon the concept of social positioning to explore how socialized affordances of technology adoption, as well as their impact in work and social life, are shaped by the social positions that human actors occupy within multiple social structures. We do so by examining the adoption of mHealth devices by community health workers in India. The study generates theoretical implications for research on affordances of technology and social structures by integrating social positioning of actors in the analysis of a digital practice, and enriching IS research by incorporating the broader social arrangements and power relations.
Organisations implement a variety of knowledge mechanisms such as information security education, training and awareness (SETA) programs and information security policies, to influence employees' secure behaviour. Despite increased efforts to provide information systems (IS) security knowledge to employees, data breaches and other security incidents resulting from insider behaviour continue. Recent IS security research, primarily grounded on assumptions of employees' rational assessment of numerous factors, has yielded inconsistent results. Challenging this paradigm, we model secure behaviour on security knowledge mechanisms, which focuses on the multidimensional nature of security knowledge breadth, depth and finesse to represent the full array of managerial levers. We further draw on construal level theory to conceptualise users' perceptual judgements of security messages. Two studies support our model, with the second building on the first. Study 1, an experiment with 312 participants, focused on validating the treatments. Study 2, a survey with 219 participants, validated the entire model. Results showed that our model has significantly more explanatory and predictive power than the orthodox paradigm. Our results have practical implications for optimising the organisation of knowledge mechanisms by emphasising the personal relevance of threats and defining the factors that lead to secure behaviour. We also contribute to the discourse on information security research and provide a template for integrating theories, thus opening new avenues for future research.
Opinion polarisation in social media has recently become a significant issue. The existing literature mainly attributes polarisation to online friends' informational social influence, that is, users are more likely to interact with others with similar opinions, which leads to the echo chamber effect. However, the impact of social interaction on individual polarisation may also result from normative social influence, which varies with social settings on the platform. In this paper, we leverage a quasi-experiment to investigate the normative social influence of online friends on focal users' review polarity. We use fixed effects and difference-in-differences approaches, along with propensity score matching, to address the potential endogeneity in users' friend function adoption decisions. Our results indicate that adopting the friend function leads users to post less extreme ratings. We further separate the reviews into positive and negative, finding that the reduction in the review polarity for positive reviews is more prominent than for negative ones. Regarding user heterogeneity, our causal forest analysis uncovers that users with a higher engagement level on the platform are less affected by adopting the friend function than those with less engagement. Our study has clear implications for managers and platform designers, highlighting the importance of social function design in reducing social media induced polarisation.
From #Pizzagate to anti-vaxxers, passing by 9/11 or Obama ‘birthers’, we have seen many communities growing on social media around conspiracy theories and thereby gaining public prominence. Debunking or presenting alternative views to conspiracy theories often fails because individuals within these communities can grow more resolute, encouraging and reinforcing their beliefs online. Instead of withering in the face of contradiction, such communities hunker down; escalating their commitment to their conspiratorial beliefs. By interacting over social media platforms, they develop a sense of a shared social identity, which in turn fosters escalating behaviours and can lead to radicalization. For some people, the choice of abandoning or moderating these beliefs is unthinkable because they are too deeply invested to quit. This study advances a second-order affordance for identity-driven escalation that explains the process of conspiracy theory radicalization within online communities. We offer a theoretical account of the way social media platforms contribute to escalating commitment to conspiracy radicalization. We show how the sequential and combined actualization of first-order affordances of the technology enables a second-order affordance for escalation.
Digital platforms are supraorganizational entities that use digital technology to facilitate interactions between diverse actors, leading to novel forms of organisation and accompanying forms of control. The current Information Systems (IS) literature, however, struggles to describe control on digital platforms in a way that does justice to the dynamic character of the phenomenon. Taking this as an opportunity, we follow the enactment of control over time and across parties in a hybrid ethnographic study of the social commerce platform Poshmark. Specifically, we conceptualise the dynamics of control as changes in the means of control—formal or informal—and the sources of control—operator or participants—over time. Tracking these conceptual dimensions, we identify the distinct ways control has changed on Poshmark. Synthesising these findings into four dynamics of control, we show that control on digital platforms is rarely static due to aggregate effects arising from the operator and from participant interactions with each other through the digital features deployed on the platform. Based on these insights, our study contributes to the IS literature on control by broadening the conception of control on digital platforms. The theoretical and practical insights generated in this paper thereby lay the foundation for the systematic study of the dynamics of control that are unique to platform environments.
Recent developments in information and communication technology have blurred the line between the workplace and the home. This can have a negative influence on employees' well-being and thus has gained increasing attention from academics and practitioners. In this study, we developed a research model based on the transactional perspective of stress and the challenge–hindrance stressor framework. We defined the two dimensions of work–family conflict as the perceptual stress resulting from a chronic challenge and hindrance technostressors, which ultimately affect employees' satisfaction in both the work and family domains. We tested our model using a three-wave time-lagged survey study with data collected from 268 employees. Challenge and hindrance technostressors had different effects on these two main forms of work–family conflict (time-based and strain-based) but further induced negative effects on both job and family satisfaction. Overall, we make both scientific and practical contributions to the fields of work-related technology use and work–family conflict.
Scale adaptation, where authors alter the wording of an already published scale, is a deeply rooted social practice in IS research. This paper argues that the time is ripe to question this activity as well as the beliefs that have progressively formed around it. We identify and challenge five fallacious scale adaptation beliefs that hinder the development of more robust measure development norms. Contributing to this area of research, this paper offers a conceptual definition of the cognitive validity concept, defined as the extent to which a scale is free of problematic item characteristics (PICs) that bias the survey response process and subsequent empirical results. Building on this conceptualization effort, a new methodological process for assessing the cognitive validity of adapted IS measures is introduced. Through a series of three programmatic studies, we find converging evidence that the method can benefit the IS field by making the scale adaptation process more robust, transparent, and consistent. Along with the method, we introduce a new index that IS scholars can use to benchmark the cognitive quality of their scales against venerable IS measures. We discuss the implications of our work for IS research (including detailed implementation guidelines) and provide directions for future research on measurement in IS.
The use of digital technologies for extracting information from various data sources can help organisations to reduce uncertainty and improve decision-making. The increasing availability in volume, velocity, and variety of data, however, can give rise to significant risks and challenges in ensuring a high level of information quality (IQ). Pre-digital organisations can be particularly susceptive to such challenges due to their limited experience with digital technologies and IQ governance. We adopt a theory-infused interventionist research approach to assist a pre-digital multinational military organisation in navigating its digital transformation (DT) by focusing on IQ. We design and implement an IQ strategy (IQS) by drawing upon organisational information processing theory and examining how the level of IQ can affect the balance between information processing requirements and capacity. We demonstrate that an IQS that incorporates both technological, as well as IQ governance solutions, can support organisations in setting the scope of their DT, decreasing employees' resistance to change, and increasing their satisfaction, while concurrently improving organisational efficiency. Our work stresses the importance of IQ in the digital era and delineates how pre-digital organisations can navigate DT by strategically addressing IQ.
Although off-the-shelf enterprise systems (ES) have been widely adopted in organisations, the extant literature repeatedly documents ES failures caused by misfits between organisational processes and the ES. Although some misfits can be identified early in the ES lifecycle, others emerge in the onward and upward phase (i.e., after the implementation) and, hence, must be resolved reactively. Prior research on misfits and resolution strategies has primarily focused on the implementation phase, often assuming that close-to-perfect information on the misfit's nature and characteristics is available. However, no study has examined how to effectively complete a shared diagnosis and resolution of misfits when diverging individual user perceptions are taken as the starting point. Such situations may be particularly pronounced in pluralistic organisations, where a variety of interdependent processes and potentially competing perceptions of processes are prevalent. The main objective of this study is to address this gap. To this end, we propose a pragmatic method for the diagnosis and resolution of misfits between organisational processes and enterprise systems, which builds on an actionable conceptualization of misfits. This method builds on theoretical concepts of affordances, affordance actualization, user participation, and change agentry. To demonstrate the feasibility and effectiveness of the proposed method, we conducted an action research study in a university hospital. Our analysis focused on a specific misfit involving the hospital's ES-supported clinical processes. The findings suggest that the method effectively diagnoses and resolves misfits and optimises the resources required for their resolution through efficient management of user participation. We conclude with a discussion of the theoretical and practical contributions of our work.
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