Communications of the Association for Information Systems

Forthcoming Papers

Forthcoming papers have been accepted for publication at the Communications of the Association for Information Systems and are listed below in order of acceptance date. Copies of unedited manuscripts can either be obtained by clicking the manuscript title or contacting the corresponding authors listed below.

Note that the decision to provide a copy rests with the authors, not with the Communications of the Association for Information Systems.

The manuscripts listed here will undergo copyediting, typesetting, and review of the resulting proofs before they are published in their final form. During the production process errors may be discovered, which could affect the content. All legal disclaimers that apply to the Communications of the Association for Information Systems pertain. For a definitive version of the works listed here, please check for their appearance online at http://aisel.aisnet.org/cais/.

Overdue Diligence: Questioning the Promise, Not the Premise, of Analytics

Andriole, Stephen John (stephen.andriole@villanova.edu)


The number of emerging business technologies seems endless – with endless possibilities about the impact they will have on business performance. Who doesn’t want more competitiveness and profitability? If a new technology – like big data analytics – can deliver superior perform-ance, why not invest in data scientists, algorithms and centers of excellence? Not so fast: the Gartner Group reports that over 85% of big data analytics projects fail (Gartner, 2017). A recent McKinsey survey found that only 8 percent of respondents have been able to scale analytics beyond limited and isolated cases (Fleming, et al., 2018). A root cause analysis explains why so many analytics projects fail. We discovered at least six baskets of problems that threaten analytics projects: data, modeling, tools, talent, management and culture. The path to least damages exists. It’s as much a corporate mirror as it is a due diligence checklist. It‘s a diagnostic tool that lists organizational ailments, symptoms and diagnostic questions. It’s everyone’s chance to diagnose a company’s chances for analytics success – or understand why there’s little or no hope.

Actions Lead to Results: How the Behaviors of Information Systems Professionals Influence the Success of Information Systems Departments

Karimikia, Hadi (hadi.karimikia@mu.ie)


The growing complexity of systems, the increasing intensity of their use, and the greater prominence of technology in supporting organizational activities has meant that information systems (IS) professionals in organizations have to go beyond offering routine task-related support when working with their non-IS colleagues. To be seen as being effective, IS professionals have to carry out empathic behaviors such as sharing their IT knowledge with their non-IS colleagues and taking the initiative to minimize inconveniences during IS projects. Drawing from the concept of organizational citizenship behavior, we develop a multilevel research model to examine how behaviors performed by IS professionals influence the effectiveness of IS departments. Using data from more than 1,000 respondents working in the global finance industry, the results of both cross-level and unit-level analyses support our arguments. The results deepen our understanding of the role of IS professionals as being intimately involved in supporting post-adoption IS use and digitally empowering business units, while also performing their traditional roles.

Looking Beyond Membership: A Simulation Study of Market Entry Strategies for Two-Sided Platforms Under Competition

Haurand, Michelle (m.haurand@uni-bielefeld.de)


Implementing a proper market entry strategy is a necessity for successfully establishing a two-sided digital platform. Following the right strategy becomes even more crucial if a competing platform already exists in the targeted market: It is more difficult to reach critical mass because users flock to the already established, larger platform due to network effects, resulting in a potential winner-take-all situation. While previous research proposes strategies, it does not discuss how to find the right strategy. This paper introduces an agent-based market simulation for comprehensively evaluating alternative strategies under competition, that is, not only with regard to platform adoption for the entrant but also taking into account transactions, earnings, and weakening the incumbent. Through an example case parameterized with empirical data, it illustrates the application of the model. The findings suggest that a comprehensive evaluation of market entry strategies beyond just looking at membership figures is necessary because different strategies can be the most promising one with regard to platform growth of the entrant, weakening the incumbent, and for boosting the entrant’s transactions and earnings.

Enterprise Architecture Practice Under a Magnifying Glass: Linking Artifacts, Activities, Benefits and Blockers

Kotusev, Svyatoslav (kotusev@kotusev.com)


Enterprise architecture (EA) is a collection of artifacts describing an organization from an integrated business and IT perspective intended to improve business and IT alignment. EA artifacts can be very diverse in nature and have different use cases in disparate organizational activities. Previous studies have identified numerous benefits and challenges of establishing EA practice. However, most existing studies discuss the benefits and problems of EA practice in general without relating them to any particular activities constituting EA practice. In order to address this gap, this study analyzes the benefits and blockers associated with specific EA-related activities and respective artifacts. Based on 18 interviews with practicing architects, we identify eight consistent activity areas constituting EA practice. Each of these activity areas essentially represents a separate “story” in the context of EA practice and implies certain activities supported by some EA artifacts leading to specific benefits often impeded by some blockers. These eight activity areas provide a more detailed understanding of EA practice than the one offered by the current EA literature. Moreover, our findings indicate that EA practice should not be viewed as some homogeneous organizational activity, while EA should not be conceptualized simply as a unified blueprint for information systems. We also argue for the need to rethink the very terms “enterprise architecture” and “EA practice” which appear to be oversimplified and unsuitable for an in-depth analysis of EA practice. This study has significant implications for both research and practice.

The Power of Electronic Channels and Electronic Political Efficacy: Electronic Participation Discourse

Yao, Yurong (yyao@suffolk.edu)


Electronic participation (e-participation) has become an increasingly important phenomenon. Drawing from the information system success model and political efficacy, we built a research model that investigates how government feedback quality, information quality, and channel quality associated with an e-participating channel can affect people’s electronic political efficacy, which, in turn, can influence users’ post-adoption attitudes and behaviors. We also explored the relationship between offline political efficacy and electronic political efficacy. Based on the data collected from a survey, the results demonstrate that electronic political efficacy is distinct from offline political efficacy though the latter influences the former one. Four channel features, government feedback quality, information quality, media richness, and social presence of citizens can affect electronic political efficacy, which in turn has a positive influence on e-participation continuance intention and positive word of mouth. Government feedback quality also negatively moderates the impact of offline political efficacy on electronic political efficacy. This study provides useful insights for both researchers and practitioners on the power of electronic channels in electronic participation in public discourse.

The After Times: Desire to Continue with Distance Learning Post Pandemic

Van Slyke, Craig (vanslyke@latech.edu)


The growth of distance learning, already a topic of interest among higher education administrators and faculty, took on new significance during the COVID-19 pandemic when face-to-face classes worldwide abruptly shifted online. Many students who had never taken classes online were forced to either engage in distance learning or withdraw from their classes. An interesting question arises from this situation – Will these students continue to take classes online when distance learning is no longer a requirement? In this paper, we investigate factors that may influence college students’ intentions to continue with distance learning once they are no longer required to do so. We develop a model based on Social Cognitive Theory and Social Cognitive Career Theory and test that model using data from a survey of 525 college students who were taking distance learning classes. Results indicate that personal and environmental factors drive intentions to continue with distance learning through their impact on distance learning perceived performance and satisfaction. Our findings hold implications for practice and future research.

Artificial Intelligence in Business: A Literature Review and Research Agenda

Nguyen, Quynh (quynh.nguyen@stockton.edu)


The rise of artificial intelligence (AI) technologies creates promising research opportunities for the information systems (IS) discipline. Through the application of Latent Semantic Analysis, this study examines the correspondence between key themes in the academic and practitioner discourse on AI. Our findings suggest that the majority of business academic research has focused on the design and application of early AI technologies, while practitioner interest has been more diverse. We examine these differences in the context of the socio-technical continuum and relate existing literature on AI to core IS research areas. In so doing, we identify existing research gaps and propose future research directions for IS scholars related to AI and organizations, AI and markets, AI and groups, AI and individuals, and AI development are also provided.

Exploring incentives and challenges for Cybersecurity Intelligence Sharing (CIS) across Organizations: A Systematic Review

Kolini, Farzan (f.kolini@auckland.ac.nz)


Cybersecurity Intelligence Sharing (CIS) has gained significance as an organizational function to protect critical information assets, manage cybersecurity risks, and improve cybersecurity operations. However, few studies have synthesized accumulated scholarly knowledge on CIS practices across disciplines. Synthesizing the pertinent literature through a structured literature review, we investigate the incentives and challenges that influence organizations around adopting CIS practices. We use an overarching TOE framework to categorize these factors and propose a theoretical framework to establish common ground for future studies. We also present a holistic and inclusive definition of cybersecurity intelligence. We found 46 papers on the topic of CIS published in different disciplines and analyzed them to answer our research questions. We identified 35 factors that are classified according to the TOE framework. This review paper facilitates further theory development by highlighting an overview of theories that can be used as bases for CIS studies, suggesting future directions, providing a reference source, and developed a reference CIS framework for IS scholars.

Qualitative Comparative Analysis (QCA) In Information Systems Research: Status Quo, Guidelines, and Future Directions

Mattke, Jens (jens.mattke@uni-bamberg.de)


Qualitative Comparative Analysis (QCA) allows researchers to study how configurations of conditions lead to outcomes and thereby create rich explanations of the dynamics of complex digital phenomena. To advance a discussion on QCA in the Information Systems (IS) discipline, this paper introduces the fundamental concepts of QCA and offers guidelines for authors on how to apply QCA to advance IS research. We also provide checklists for reviewers of QCA papers. We illustrate the application of our guidelines through two exemplar studies. In exemplar study 1, we focus on IT-business strategic alignment to study the influence of different forms of alignment on firm performance. Exemplar study 2 uses the perspective of the integrated technology acceptance model to explain an individual’s intention to use a digital assistant. The contrasting results of both studies highlight how to use QCA to derive robust and reproducible results. By doing so, we advance the goal of encouraging IS scholars to use QCA for developing sophisticated models that provide accurate depictions of real-world IS phenomena.

href="https://cloud.iimk.ac.in/index.php/s/d4hNfBfWaDJlboW"Ethical Behavior of Firms and B2C E-commerce Diffusion:Exploring the Mediating Roles of Customer Orientation and Innovation Capacity

Krishnan, Satish (satishk@iimk.ac.in)


Despite the increasing significance of IT innovations and corporate ethics, there is a dearth of research investigating whether and how the ethical behavior of firms in a country relates to B2C e-commerce diffusion among its firms. Drawing on the ethical climate theory, the stakeholder theory, and the resource-based view of the firm, we posit that the ethical behavior of firms in a country will be positively related to B2C e-commerce diffusion, and this relationship will be serially mediated by the degree of their customer orientation and the extent of their innovation capacity. Our research model is validated using publicly available archival data from 128 countries. The findings suggest that (1) ethical conducts of firms in a country lead to a higher degree of B2C e-commerce diffusion, and (2) customer orientation and innovation capacity serve as the underlying mechanisms explaining this relationship. Further, the study discusses crucial implications for research and practice.

Seller Labs: Democratizing E-Merchants Competitiveness

Rodriguez, Joaquin (joaquin.rodriguez@grenoble-em.com)


Seller Labs was founded to improve the competitiveness of Amazon’s third-party sellers. The company’s core offerings had evolved from a messaging service facilitating communication between customers and sellers to an advanced suite of marketing, advertisement, and financial software tools. Since its inception, Seller Labs continually increased its customer base, reaching more than 9,000 customers by 2019. Being one of the first and most successful software tool providers addressing specific business problems faced by Amazon sellers, Seller Labs was part of Amazon’s Marketplace developer council and was at the frontline of innovation. However, Seller Labs’ main competitors continued to grow in size and strength both nationally and internationally, threatening its competitive position. With the objective of expanding its offerings outside the Amazon’s Marketplace, Seller Labs acquired X-Cart, an e-commerce platform. However, many challenges lay ahead after the acquisition. How should Seller Labs continue to grow? Should the firm continue to focus on the development of solutions targeted to Amazon’s third-party sellers? Should the firm pivot outside the Amazon Marketplace and develop an integrated e-commerce platform?

Addressing Change Trajectories and Reciprocal Relationships: A Longitudinal Method for Information Systems Research

Mishra, Abhay (abhay@iastate.edu)


This paper makes a focused methodological contribution to the information systems (IS) literature by introducing a bivariate dynamic latent difference score model (BDLDSM) to simultaneously model change trajectories, dynamic relationships, and potential feedback loops between predictor and outcome variables for longitudinal data analysis. It will be most relevant for research that aims to use longitudinal data to explore longitudinal theories related to change. Commonly used longitudinal methods in IS research – linear unobserved effects panel data models, structural equation modeling (SEM), and random coefficient models – largely miss the opportunity to explore rate of change, dynamic relationships, and potential feedback loops between predictor and outcome variables while incorporating change trajectories, which are critical for longitudinal theory development. Latent growth models help address change trajectories, but still prevent researchers from using longitudinal data more thoroughly. For instance, these models cannot be used for examining dynamic relationships or feedback loops. BDLDSM allows IS researchers to analyze change trajectories, understand rate of change in variables, examine dynamic relationships between variables over time, and test for feedback loops between predictor and outcome variables. The use of this methodology has the potential to advance theoretical development by enabling researchers to exploit longitudinal data to test change-related hypotheses and predictions rigorously. We describe the key aspects of various longitudinal techniques, provide an illustration of BDLDSM on a healthcare panel dataset, discuss how BDLDSM addresses the limitations of other methods, and provide a step-by-step guide, including Mplus code, to develop and conduct BDLDSM analyses.

Air Taxis – A Technological Breakthrough to Beat the Traffic Woes

Tripathi, Manas (manas.tripathi@iimrohtak.ac.in)


Traffic problems across the major cities around the world and the ever-growing population have put immense stress on countries' smart infrastructure needs and requirements. The situation is worse in the busiest streets of emerging economies like India. The existing modes of urban transport are failing to accommodate the rising travel demand, and hence, the city congestion is expected to multiply further in the coming years. This distressing situation creates opportunities for automobile and aircraft makers to develop state-of-the-art urban air mobility (UAM) solutions. The electric vertical take-off and landing (eVTOL) vehicles seem to be the future of urban mobility. The commercialization of air taxis has the potential to completely disrupt the urban transportation system and relieve the urban streets from congestion. The case discusses the factors facilitating speedy drift towards the adoption of air taxis and the recent developments in the UAM industry. To explore the air taxi market opportunities and business feasibility, the case examines the UAM ecosystem, the related cost and technology components, the industry's latest competitive landscape, and anticipated barriers to the successful implementation of the air taxi business. The case outlines allied businesses and complementary revenue streams that the UAM sector would encourage, resulting in a holistic technological and economic growth of developing nations.

Investigating the Role of Tenure Diversity in Information System Project Teams: A Multilevel Analysis

Bourdeau, Simon (bourdeau.s@uqam.ca)


Diversity in information system project (ISP) teams can be a double-edged sword. Since many ISP teams bring together different specialists who have different backgrounds, knowledge and skills, managing their diverse nature is an important concern in the IS field. However, so far, few studies have examined the influence of project teams’ diversity on IS project outcomes. To better understand this influence, this paper’s study developed a multilevel research model that examined job tenure and organizational tenure diversity in ISP teams and their influence on team members’ satisfaction. The study hypotheses were tested by hierarchical linear modeling (HLM) of the data collected from 200 participants in 41 ISP teams. The study results indicate that the influence of job tenure diversity on a team member’s satisfaction is influenced by that member’s length of job tenure: while team “rookies” were more satisfied in teams that had greater job tenure diversity, team “veterans” were more satisfied when their teams had lower levels of job tenure diversity. The study’s systematic and combined application of conceptual and methodological recommendations enabled it to address several limitations of past research and underscored the importance of adopting a more nuanced and rigorous approach to examining diversity in project teams.

Creative Potential Through Artificial Intelligence: Recommendations for Improving Corporate and Entrepreneurial Innovation Activities

Siemon, Dominik (d.siemon@tu-braunschweig.de)


This article shows how the creative performance of start-ups or established organizations can be improved through the use of AI-based systems for actively promoting creative processes. With insights from two studies conducted with entrepreneurs, innovation managers and workshop facilitators, we provide recommendations for companies and entrepreneurs on the ability of AI to support creative potential to remain innovative and marketable in the long term. Our studies cover aspects such as AI for entrepreneurial activities or creativity workshops and show how to make use of AI-based systems to enhance the creative potential of the person, the process or the press (environment). Our findings also provide theoretical insights into the perception of AI as an equal partner and call for further research on the design of AI for the future creative workplace.

Calling for Information Systems Research on eSports: An Overview Study

Ke, Xiaobo (xiaoboke-c@my.cityu.edu.hk)


Online gaming has become a pervasive entertainment activity. Meanwhile, professionalization of this entertainment has resulted in a new blend of sport and business, termed esports. Esports’ future is promising, with widespread acceptance and significant business value. The innovative nature of esports necessitates more research to help understand and shape its future. We hold that scholars, especially information systems (IS) researchers, should pay more attention to this phenomenon, as esports’ constituents (i.e., people, organizations, and technologies) are of key interest to IS field. To increase research attention and help readers understand esports, we compiled this research overview. In it, we first provide a comprehensive definition of esports. Then, we summarize the esports development. We outline the current state of research in general and systematically review the IS perspective. Based on these efforts, we propose an esports research framework with four promising IS research avenues. We end this study with a discussion of “IS contributions” to esports and the implications of this overview. This study is a foundation for comprehensively mapping the landscape of esports practice and research. We hope our findings can help others, especially IS researchers, gain a clearer understanding of esports and guide them towards creating increasingly impactful works.

Process-based Guidance for Designing Behavior Change Support Systems – Marrying the Persuasive Systems Design Model to the Transtheoretical Model of Behavior Change

Merz, Marieluise (marieluise.merz@wiwi.uni-augsburg.de)


Behavior change is a topic of high relevance and widely studied in the field of psychology. Through the integration of technologies into everyday life, behavior change support systems (BCSS) are gaining attention in the field of information systems. The persuasive systems design (PSD) model of Oinas-Kukkonen and Harjumaa (2009) is a leading framework to provide a generic technical design process including 28 design principles. However, the model is lacking a clear picture regarding which of those design principles should be selected for specific implementations. Consequently, researchers and developers who implement BCSS are missing structured and evidence-based guidance. They need to invest time and cognitive resources in an underlying analysis of different design principles. Because the influence of persuasive systems is strongly linked to the processual state of behavior change, we combine the PSD model with the transtheoretical model (TTM) of Prochaska and DiClemente (1983) and elaborate a model that recommends appropriate design principles for the five transitions along the stages of behavior change. We refined the model using a systematic literature review. The results provide a specification of the PSD model and a guideline to select effective design principles for developing BCSS.

Esports: Explaining Willingness to Pay for Streaming Services

Meier, Marco (marco.meier@uni-bamberg.de)


Competitions of online multiplayer computer games, so-called esports, attract millions of spectators around the globe and show spectator numbers comparable to the Superbowl. Despite that, game publishers, which are often the organizers of such large-scale competitions, still struggle to establish esports as a profitable business venture. One way out is the positioning of fee-based streaming services for watching esports online. To draw spectators to their streaming services, esports organizers aim to attract spectators with a high willingness to pay (WTP) and the streaming services need to satisfy spectators' motivations. Grounded in uses and gratifications theory and a fuzzy set qualitative comparative analysis, our results show that four different configurations of motivations relate to WTP for esports streaming services. We contribute by showing that (1) motivations form WTP in the context of esports, (2) multiple interacting motivations explain WTP, and (3) spectators follow different rationales for their high WTP.

The Research Method we Need or Deserve? A Literature Review of the Design Science Research Landscape

Nagle, Tadhg (T.Nagle@ucc.ie)


There has been a concerted effort by Senior Scholars to support the successful adoption and publication of Design Science Research (DSR) in top-ranked Information Systems journals. However, DSR is underperforming, and the support by Senior Scholars in the form of editorials and exemplars have provided confusion as well as clarity. Conducting a descriptive literature review, this study sets out to bring empirical context and insight to the many Senior Scholar discussions on the presentation, implementation, and contributions of DSR. Reviewing 111 articles in the AIS Senior Scholars’ Basket the study finds significant transparency issues that have lead to methodological slurring. The study also finds that while DSR has produced research with a strong focus on utility and usefulness, it does so through generalized problems and solutions, which overlooks the messy complexity of real IS problems and the actual use of proposed solutions. Finally, there is little evidence to support a theory obsession in DSR, a topic of concern for the wider IS research community.

Student Research as Legitimate Peripheral Participation

Müller, Sune (sdm@processinnovation.dk)


Student research is consistent with recent movements to a learner-centered educational paradigm. Despite its learning benefits, the IS literature is limited. Easy-to-follow frameworks and case studies of student research as well as measures of the benefits of research-teaching integration are needed. This essay addresses this knowledge gap. I present a model of research apprenticeship that serves as an adaptable framework for integrating student research into existing study programs and teaching practices. I evaluate its benefits through personal reflections and students’ self-reported learning outcomes. I interpret these benefits by drawing on learning theory, specifically the concepts of “legitimate peripheral participation” and “community of practice”. I claim that the model supports students in becoming legitimate members of the IS research community of practice by co-developing with them the domain knowledge and competences they need to be contributing members as reflective IS research practitioners. The contribution of the essay is an identification of situated learning elements that are key to student research success as well as a description of model components that support legitimate peripheral participation in the community. The contributions are related to extant IS literature, implications for teaching practice are discussed with recommendations being derived, and future research topics are highlighted.

Artificial Intelligence in Information Systems: State of the Art and Research Roadmap

Ågerfalk, Pär (par.agerfalk@gmail.com)


Many would argue that artificial intelligence (AI) is not just a technology but represents a paradigmatic shift in the relationship between humans and machines. Much of the literature assumes that AI-powered practices are substantially different and profoundly changes organizational structures, communication, affordances, and ecosystems. However, research in AI is often fragmented and lacks clarity. While the Information Systems (IS) field can play a pivotal role in the emergence and use of AI, there is a need for a clear direction that specifies how IS can contribute and what are to be the key research themes and questions. This paper draws on a PDW at ICIS 2020 and the discussions that followed. It summarizes and synthesizes five decades of the impact of AI on organizational practices, providing views from various perspectives. It identifies weaknesses in the current AI literature as measured against conceptual clarity, theoretical glue, cumulative tradition, parsimony, and applicability. The paper concludes by identifying direct actions that the IS research community can undertake to address these issues. The final contribution is a next-step research agenda to guide AI research in the coming years.

Determinants of the Adoption of Wearable Devices for Health and Fitness: A Meta-analytical Study

Gopinath, Krishnan (ursgopinath1@gmail.com)


Smart wearable technology devices have enabled digital tracking and management of health and fitness parameters. To explore the antecedents and consequences of the adoption of wearable devices, we did a series of meta-analysis using the theoretical frameworks of the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the integrated conceptual model. Fifty-six studies identified from fifty-two articles were short-listed for this meta-analysis. Results from the combined effect size analysis confirmed all the TAM and UTAUT relationships. Along with constructs from traditional technology acceptance theories, other constructs such as innovativeness, compatibility, self-efficacy, and social influence had a significant impact on the behavioral intention to use wearable devices. This study also demonstrates the similarities in the effect sizes for constructs with similar meanings derived in the literature. The combined effects of TAM and UTAUT constructs were compared while examining the adoption of wearable devices. Many of the relationships analyzed in this research were moderated by culture and user type. Implications for research and practice have been discussed.

Addressing the Dynamic Information Technology Landscape: A Course Reflection

Mitchell, Alanah (alanah.mitchell@drake.edu)


The field of Information systems (IS) is dynamic and rapidly changing due to technology innovation and emerging technologies. The changing nature of this field poses a significant challenge for educators trying to stay up to date in their preparation of future technology leaders. Despite this challenge, the IS2020 model curriculum, as well as organizational leaders, are calling on IS educators to find ways to develop and deliver student competencies related to innovation and emerging technologies to meet the needs of the IS workforce. Therefore, the goal of this paper is to present a plan for the teaching and learning of these topics within an IS program. This paper outlines a framework for course delivery based on foundational topics that can be utilized for mastering the technology innovation challenge in the classroom and be adapted in response to the changing nature of the discipline. The course plan focuses on theoretical foundations and connects with practice for exploring the application of concepts so students can be introduced to what is really happening in relation to technology in business and the discipline of IS. The course model was tested in-person and online and can be adapted depending on university schedules and teaching modalities.

When to Use Machine Learning: A Course Project

Kayhan, Varol (vkayhan@usf.edu)


The number of institutions offering machine learning courses is on the rise. Supplementary materials that help teach these courses fail to address one of the most important steps of the machine learning process, namely identifying a problem, and determining whether it is appropriate for machine learning. We address this problem by first reviewing frameworks in extant work, then proposing a decision flow to help students determine whether an input-output relationship is appropriate for machine learning. Following the discussion of the steps in the decision flow, we present a course assignment that reinforces the concepts in the decision flow. We conclude by discussing the lessons learned after using this assignment in a graduate class.

Talk too much? The impact of cybersecurity disclosures on investment decisions

Wang, Tawei (David) (david.wang@depaul.edu)


High-profile cybersecurity breaches have raised concerns regarding how organizations disclose security management information to the public. The American Institute of Certified Public Accountants (AICPA) developed a cybersecurity risk management (CSRM) reporting framework to better help organizations convey their cybersecurity programs to the public. In this article, we attempt to provide evidence of how cybersecurity disclosures, as developed by AICPA, affect investment decisions. Our findings suggest that nonprofessional investors are less likely to invest in breached firms with the disclosure of CSRM reports alone. Disclosing the risk management report with an independent assurance report does not result in the mitigation of the negative impact of security breach news. We discuss the corresponding implications.

The Influence of Psychological Contracts and Burnout on IT Professionals’ Turnover and Turnaway Intention

Zaza, Sam (iz13@my.fsu.edu)


Retaining valuable information technology (IT) professionals is still an issue for organizations and the IT profession. The rapidly changing business environment and the increased demand for IT professionals to innovate with new technologies and processes puts pressure on IT turnover intention researchers to adapt and innovate as well. Psychological contract and burnout theories are used to explore precursors to turnover and turnaway intention. We collected data from 247 experienced IT professionals across different organizations. We found that (1) burnout is a formative construct with three reflective dimensions: exhaustion, cynicism, and professional efficacy; (2) burnout impacts IT professionals’ turnaway intention more than turnover intention; and (3) burnout is positively related to psychological contract violation. A post-hoc analysis suggests that for non-married IT professionals, psychological contract breach influences psychological contract violation, but this is not the case for married IT professionals. Implications for research and practice are discussed.