International Journal of Information Management最新文献

Owing to the pervasive use of accounting information systems (AIS), financial workers are experiencing increased levels of technostress. While technostress has been conceptualized as overwhelmingly harmful in the IS literature, the challenge–hindrance stressor model suggests that employees can also experience “good stress”. This study instantiates the challenge–hindrance stressor model and coping theory in the AIS context using a two-step mixed-method approach. A qualitative study was first conducted to conceptualize the AIS characteristics associated with technostress appraisals. This study then builds a research model that posits perceived challenge and hindrance technostressors and coping responses as key mechanisms linking AIS characteristics and job burnout. The model was tested by collecting longitudinal data from 285 accountants. The results revealed that several AIS characteristics are associated with technostressor appraisals, and such appraisals lead to proactive and reactive coping responses, which further influence job burnout. The theoretical and practical implications are also discussed.

As individuals age, mental and physical impairment can emerge and impact their well-being. Previous research on social participation in older adults has typically focused on specific activities or failed to distinguish between different forms of participation. In contrast, we propose that social participation is a resource optimization process for older adults, where various forms of participation must be optimized in order to improve well-being outcomes. Drawing on Selective Optimization with Compensation theory, we develop hypotheses on how older adults with cognitive decline select and optimize their social participation profile and how multiple modes of participation synergistically affect their perceived loneliness. Using data from the Canadian Longitudinal Study on Aging (CLSA), we test a polynomial model and find that online social participation has a U-shaped effect on loneliness, while personal-oriented offline social participation mitigates this effect. We also find that the impact of social participation modes varies considerably between younger and older groups. Our findings suggest implications for the design of integrative aging support programs and the use of ICT to promote mental well-being in different stages of advanced age.

The Metaverse is not a radical departure. It is an incremental evolution. Previous virtual worlds, like Second Life, have laid the groundwork for the development of the Metaverse by providing valuable insights into virtual environments and social interactions. Studies of these earlier platforms contribute to a more nuanced understanding of what the Metaverse is, and what it is not. Based on studies of virtual worlds and by applying inductive processes of reflection and abstraction, we propose a framework that supports the identification of attributes that help differentiate the Metaverse from previous virtual worlds from a user experience perspective. We demonstrate the value of the framework by comparing the Metaverse to Second Life. Our framework and comparative analysis ground the current discussions about the Metaverse deeper in the established discourse on virtual worlds. They also shed light on the potential impact of the Metaverse, the special role of its immersiveness and help us to identify lessons learned that can inform the Metaverse's further development.

Intention has been a key dependent variable in information system (IS) research for the last several decades. It features in various IS acceptance models including the technology acceptance model (TAM), the elaboration likelihood model, the IS success model, and the unified theory of acceptance and use of technology (UTAUT). In the context of IS adoption and use, intention has been portrayed in different forms including intention to adopt, intention to use, intention to continue use, intention to discontinue, and intention to switch. It has been modeled as an antecedent to behavior, a consequent of behavior, and a proxy for behavior. Prior studies of intention have been contextualized in a various settings involving use contexts (i.e., voluntary vs. mandatory use), populations (i.e., non-adopters, adopters, users), respondents (i.e., students, employees), and duration of use (i.e., limited vs. indefinite time), have used cross-sectional and longitudinal empirical designs, and employed different measurement instruments. This editorial provides a brief review of extant IS literature on intention, highlights underlying issues, and proposes directions for future research.

Leveraging the computers are social actors theory, in this study, we explore traits of artificial intelligence-based chatbots that make them perceived as trustworthy, drive consumers to forgive the firm for service failure, and reduce their propensity to spread negative word-of-mouth against the firm. Across two scenario-based studies with UK consumers: one in a utilitarian product category (n = 586) and another in a hedonic product category (n = 508), and a qualitative study, our findings suggest that the perceived safety of chatbots enhances consumers' perceived ability and empathy, and anthropomorphism enhances the benevolence and integrity of chatbots, i.e., three traits of chatbots affect components of trustworthiness differently. Further, these traits have a positive influence on customer forgiveness and a negative influence on negative word-of-mouth.

In recent years, organizations have made significant IT investments, including digital transformation programs, with the aim of enhancing the quality and delivery of services, and creating greater value for stakeholders. However, deriving value from IT investments and digital transformation necessitates, among other factors, a solid mastery of the IT function. In light of this, IT Service Management (ITSM) has emerged as a crucial and widely implemented approach to managing an organization's IT function, with the goal of achieving both operational and strategic benefits. Yet, despite its wide adoption, this approach has been undertheorized by academics, and there is limited understanding of the impacts that ITSM can generate for organizations as well as the mechanisms through which these impacts are achieved. In order to address this problem, this paper performs a systematic literature review examining research published on ITSM between 2012 and 2021 in order to understand what has occurred rather than what could or should be expected. Based on the findings, the paper advances that ITSM should be considered a Management Control System that includes a variety of control practices to achieve greater performance, transparency, and customer-focus within the IT function. It is also argued that these outcomes in turn increase client satisfaction and business/IT alignment. A model of the organizational impacts of ITSM is developed and ITSM is suggested as a subject for further, richer research into IS controls.

Cross-sectional data is pervasive in information systems (IS) research. This editorial reviews cross-sectional studies, summarizes their strengths and limitations, and derives use cases of when cross-sectional data is and is not useful in answering research questions. We raise concerns about assertions of temporal causality using data collected employing cross-sectional methods with no temporal order, which makes cause and effect difficult to establish. Based on our discussion of research using cross-sectional data and its limitations, we offer four recommendations for when and how to use such data: (1) improve credibility by reporting research in detail and transparently, (2) ensure appropriate sampling, (3) take configurational perspectives, and (4) integrate cross-sectional data into mixed- or multi-method designs. By doing so, we help IS researchers position and use cross-sectional studies appropriately within their methodological repertoire.

Despite humanoid service robots having attracted considerable research attention, it remains unclear how consumers respond to some specific human characteristics of robots. Drawing from theories on social categorization and identification, we study the role of consumer perceived control as a psychological mechanism to explain how human-robot gender congruity alters consumers’ affective reactions (feelings of comfort in the service encounter and service brand attitudes). We also consider that such gender congruity effects may be contingent on the individual cultural value of masculinity. We demonstrate experimentally that human-robot gender congruity (vs. incongruity) elicits more positive affect, while masculinity moderates some of these effects. Moreover, perceived control mediates effects of gender congruity on affective reactions only for consumers high on masculinity. We offer three major theoretical contributions as we 1) focus on social identity theory to shed light on how human-robot gender congruity affects consumer behavior in service encounters, 2) demonstrate the role of perceptions of control as a psychological process variable to explain these effects, and 3) provide insights into the role of the cultural value of masculinity as a factor that shapes human-robot gender congruity effects.

As a result of the rapid evolution of computer culture, social media and networking websites now provide the primary socialisation platforms for individuals across the world. With characteristics such as transcending time, space, and even cultures, these platforms impact individuals through increased interactions. Although past research shows how social media impacts on individuals’ cultural affiliations and identity construction processes, research neglects to understand the role and impact of the characteristics of social media and networking environments as individuals engage in these virtual spaces. This paper uses Instagram as a case study, to demonstrate the liminal nature of social media spaces and looks at how this virtual space and its characteristics evoke a sense of reflexivity with regards to identity construction amongst young British Sikhs in the U.K. We highlight how the empowering characteristics of this virtual space impact their identity and just how the communities that are formed by individuals through Instagram, act as a further acculturative agent, as they attempt to deal with the tensions that they experience as a result of being both British and Sikh. Findings implicate how brands can engage with and support the individuals going through this reflective identity re/construction process.

Health misinformation has become an unfortunate truism of social media platforms, where lies could spread faster than truth. Despite considerable work devoted to suppressing fake news, health misinformation, including low-quality health news, persists and even increases in recent years. One promising approach to fighting bad information is studying the temporal and sentiment effects of health news stories and how they are discussed and disseminated on social media platforms like Twitter. As part of the effort of searching for innovative ways to fight health misinformation, this study analyzes a dataset of more than 1600 objectively and independently reviewed health news stories published over a 10-year span and nearly 50,000 Twitter posts responding to them. Specifically, it examines the source credibility of health news circulated on Twitter and the temporal, sentiment features of the tweets containing or responding to the health news reports. The results show that health news stories that are rated low by experts are discussed more, persist longer, and produce stronger sentiments than highly rated ones in the tweetosphere. However, the highly rated stories retained a fresh interest in the form of new tweets for a longer period. An in-depth understanding of the characteristics of health news distribution and discussion is the first step toward mitigating the surge of health misinformation. The findings provide insights into understanding the mechanism of health information dissemination on social media and practical implications to fight and mitigate health misinformation on digital media platforms.