Authors:Sune D. Müller Abstract: Student research aligns well with recent movements to a learner-centered educational paradigm. However, despite student research’s learning benefits, the IS literature has paid limited attention to the topic. We require easy-to-follow student research frameworks and case studies and ways to measure research-teaching integration’s benefits. I address this knowledge gap in this essay. I present a research apprenticeship model 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 and, in particular, the two concepts “legitimate peripheral participation” and “community of practice”. I claim that the model helps students become legitimate members of the IS research community of practice. With this essay, I contribute to the literature by identifying situated learning elements that student research requires to succeed and describe model components that support legitimate peripheral participation in the community. Subsequently, I relate these contributions to extant IS literature, discuss their implications for teaching practice, derive recommendations, and highlight potential future research topics. PubDate: Wed, 27 Apr 2022 05:32:52 PDT
Authors:Manas Tripathi et al. Abstract: 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, particularly in emerging economies such as India. In such countries, existing urban transport modes have failed to accommodate the rising travel demand, which means traffic congestion will likely 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 represent the future of urban mobility. Commercialized air taxis have the potential to completely disrupt the urban transportation system and relieve the urban streets from congestion. The case discusses the factors facilitating a speedy drift towards adopting 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 and, thus, help developing nations to grow technologically and economically. PubDate: Wed, 27 Apr 2022 05:32:51 PDT
Authors:Tadhg Nagle et al. Abstract: Senior Scholars have made a concerted effort to help researchers adopt and top-ranked IS journals publish design science research (DSR). However, DSR continues to underperform, and the support that Senior Scholars have provided to it in editorials and exemplars has created both confusion and clarity. In this study, we report on a descriptive literature review that we conducted to bring empirical context and insight to the many discussions that Senior Scholars have had on presenting, implementing, and contributing to DSR. In particular, we reviewed 111 papers in the AIS Senior Scholars’ basket of eight journals and found significant transparency issues that have led to methodological slurring. We also found that, while DSR has produced research with a strong focus on utility and usefulness, it has done so through generalized problems and solutions and, thus, overlooked the messy complexity of real IS problems and the actual use of proposed solutions. Finally, we found little evidence to support theory obsession in DSR, a topic of concern for the wider IS research community. PubDate: Wed, 27 Apr 2022 05:32:50 PDT
Authors:Marieluise Merz et al. Abstract: Behavior change is a highly relevant and studied topic in the psychology discipline. Through integrating technologies into everyday life, behavior change support systems (BCSS) have gained attention in information systems discipline. Oinas-Kukkonen and Harjumaa (2009) have offered a persuasive systems design (PSD) model, a leading framework to provide a generic technical design process including 28 design principles. However, the model lacks a clear picture about which among these 28 design principles one should select for specific implementations. Consequently, researchers and developers who implement BCSS lack structured and evidence-based guidance. They need to invest time and cognitive resources to analyze different design principles. Because the influence of persuasive systems links strongly to processual state of behavior change, we combine the PSD model with Prochaska and DiClemente’s (1983) transtheoretical model (TTM) and posit a model that recommends appropriate design principles for the five transitions along the behavior-change stages. We refined the model using a systematic literature review. The results specify the PSD model and guidelines to select effective design principles for developing BCSS. PubDate: Wed, 27 Apr 2022 05:32:49 PDT
Authors:Rhizlane Hammoud et al. Abstract: Several companies have canceled their internship programs amid the coronavirus disease of 2018 (COVID-19) pandemic. Higher education institutions that require internships for graduation face the challenge of finding alternative solutions to their students so as not to delay their graduation. In this practice paper, we present a solution that the school of business administration in a liberal art university in a developing country adopted to address the issue and highlight lessons learned. PubDate: Mon, 11 Apr 2022 11:31:20 PDT
Authors:Marco Meier et al. Abstract: Online multiplayer computer game competitions—so-called esports—attract millions of spectators around the world and show spectator numbers comparable to the Super Bowl. Despite that, game publishers, which often organize these large-scale competitions, still struggle to establish esports as a profitable business venture. One way they can do so involves how they position fee-based streaming services for watching esports online. To draw spectators to their streaming services, esports organizers need to focus on attracting 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 esports context, 2) multiple interacting motivations explain WTP, and 3) spectators follow different rationales for their high WTP. PubDate: Mon, 04 Apr 2022 09:28:40 PDT
Authors:Xiaobo Ke et al. Abstract: Online gaming has become a pervasive entertainment activity, and its professionalization has resulted in esports (i.e., electronic sports)—a new blend of sport and business. Esports has a promising future given its widespread acceptance and significant business value. Its innovative nature 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 since the IS discipline has a key interest in examining esports’ constituents (i.e., people, organizations, and technologies). To increase research attention and help readers understand esports, we compiled this research overview. In it, we first comprehensively define 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 by discussing “IS contributions” to esports and this overview’s implications. This study serves as a foundation for comprehensively mapping the esports practice and research landscape. We hope our findings can help others, especially IS researchers, more clearly understand esports and guide them towards creating increasingly impactful works. PubDate: Mon, 04 Apr 2022 09:28:39 PDT
Authors:Jens Mattke et al. Abstract: Qualitative comparative analysis (QCA) allows researchers to study how configurations of conditions lead to outcomes and, thereby, richly explain the dynamics of complex digital phenomena. To advance discussion on QCA in the information systems (IS) discipline, we introduce its fundamental concepts and offer guidelines for authors on how to apply QCA to advance IS research. We also provide checklists for reviewers of QCA papers. We illustrate how to apply our guidelines through two exemplar studies. In the first exemplar study, we focus on IT-business strategic alignment to study the influence that different forms of alignment have on firm performance. In the second exemplar study, we use the perspective of the integrated technology acceptance model to explain an individual’s intention to use a digital assistant. The contrasting results from both studies highlight how to use QCA to derive robust and reproducible results. By doing so, we contribute to encouraging IS scholars to use QCA to develop sophisticated models that accurately depict real-world IS phenomena. PubDate: Mon, 04 Apr 2022 09:28:38 PDT
Authors:Dominik Siemon et al. Abstract: This paper shows how start-ups or established organizations can improve their creative performance via using AI-based systems to actively promote creative processes. With insights from two studies conducted with entrepreneurs, innovation managers, and workshop facilitators, we provide recommendations for companies and entrepreneurs on how they can use 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 use AI-based systems to enhance the creative potential of the person, the process or the press (environment). Our findings also provide theoretical insights into perceiving AI as an equal partner and call for further research on designing AI for the future creative workplace. PubDate: Mon, 04 Apr 2022 09:28:38 PDT
Authors:Quynh N. Nguyen et al. Abstract: The rise of artificial intelligence (AI) technologies has created promising research opportunities for the information systems (IS) discipline. Through applying latent semantic analysis, we examine the correspondence between key themes in the academic and practitioner discourses on AI. Our findings suggest that business academic research has predominantly focused on designing and applying early AI technologies, while practitioner interest has been more diverse. We examine these differences in the socio-technical continuum context and relate existing literature on AI to core IS research areas. In doing so, 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. PubDate: Mon, 04 Apr 2022 09:28:37 PDT
Authors:Anupriya Khan et al. Abstract: Despite the increasing significance of IT innovations and corporate ethics, we lack research that has investigated whether and how the extent to which firms in a country behave in an ethical manner relates to the rate at which B2C e-commerce diffuses among them. Drawing on the ethical climate theory, the stakeholder theory, and the resource-based view of the firm, we posit that firms’ ethical behavior positively relates to B2C e-commerce diffusion and that their customer orientation and innovation capacity will mediate the relationship. We validated our research model using publicly available archival data from 128 countries. Our findings suggest that 1) ethical conduct leads to higher B2C e-commerce diffusion among a country’s firms, and 2) customer orientation and innovation capacity serve as the underlying mechanisms that explain this relationship. We discuss crucial implications for research and practice. PubDate: Mon, 04 Apr 2022 09:28:35 PDT
Authors:Michelle Désirée Haurand Abstract: Organizations need to implement a proper market-entry strategy to successfully establish a two-sided digital platform. Following the right strategy becomes even more crucial if a competing platform already exists in the targeted market. In this case, organizations will find it more difficult to reach critical mass because users flock to the already established, larger platform due to network effects, which will result in a potential winner-take-all situation. While previous research proposes strategies, it has not discussed how to find the right strategy. This paper introduces an agent-based market simulation to comprehensively evaluate alternative strategies under competition that accounts for not only platform adoption for the entrant but also for transactions, earnings, and the need to weaken the incumbent. Through an example case parameterized with empirical data, I illustrate how one can apply the model. The findings suggest that entrants need to comprehensively evaluate market-entry strategies beyond just looking at membership figures because different strategies can have the most promise with regard to growing the entrant’s platform, weakening the incumbent, and boosting the entrant’s transactions and earnings. PubDate: Thu, 10 Mar 2022 10:59:35 PST
Authors:Yurong Yo et al. Abstract: 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 data that we collected from a survey, we found that electronic political efficacy distinctly differs from offline political efficacy though the latter influences the former one. Four channel features (i.e., 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. We also found that government feedback quality negatively moderated the impact that offline political efficacy had 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. PubDate: Thu, 10 Mar 2022 10:59:34 PST
Authors:Grant Clary et al. Abstract: Distance learning, already a topic of interest among higher education administrators and faculty, took on new significance during the coronavirus disease of 2019 (COVID-19) pandemic when face-to-face classes worldwide abruptly shifted online. Many students who had never taken classes online had 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 circumstances no longer require them to do so' In this paper, we investigate factors that may influence college students’ intentions to continue with distance learning once they no longer have to do so. We developed a model based on social cognitive theory and social cognitive career theory and tested it using data from surveying 525 college students who took 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. We discuss our findings’ implications for practice and future research. PubDate: Thu, 10 Mar 2022 10:59:33 PST
Authors:Farzan Kolini et al. Abstract: 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 investigated the incentives and challenges that influence organizations around adopting CIS practices. We used the overarching TOE framework to categorize these factors and propose a theoretical framework to establish common ground for future studies. We also developed a holistic and inclusive definition for cybersecurity intelligence that we present in the paper. We found 46 papers on CIS in different disciplines and analyzed them to answer our research questions. We identified 35 factors that we classified according to the TOE framework. With this paper, we facilitate further theory development by overviewing theories that researchers can use as a basis for CIS studies, suggesting future directions, providing a reference source, and developing a reference CIS framework for IS scholars. PubDate: Thu, 10 Mar 2022 10:59:32 PST
Authors:Varol Kayhan Abstract: The number of institutions that offer machine learning courses continues to increase. However, supplementary materials that help instructors teach these courses fail to address an important step in the machine learning process; that is, conceptualizing a problem using a valid input-output relationship. To address this issue, I first review frameworks in extant work before proposing a decision flow. After discussing steps in the decision flow, I present a course assignment that reinforces the concepts in the decision flow. I conclude by discussing the lessons learned after using this assignment in a graduate course at a university in the United States. PubDate: Thu, 10 Mar 2022 10:59:31 PST
Authors:Vance Wilson et al. Abstract: Online survey applications offer various options for administering items, such as approaches that completely or partially randomize the order in which they present items to each subject. Vendors claim individual randomization eliminates key sources of method bias that can impact reproducibility. However, little empirical evidence exists to directly support this claim, and it is difficult to evaluate based on existing research because such research has underreported item-ordering methodologies and the reporting that does occur frequently lacks clarity. In this paper, we investigate the effect that item ordering has on reproducibility in IS online survey research via comprehensively comparing five prominent item-ordering approaches: 1) individually randomized, 2) static grouped by construct, 3) static intermixed, 4) individually randomized grouped-by-construct blocks containing static items, and 5) static grouped-by-construct blocks containing individually randomized items. We found significant, overarching differences among these approaches that can threaten research findings’ reproducibility. These differences appear across the measures we studied, which included item and construct means, reliability and construct validity statistics, serial effects, and subjects’ fatigue and frustration that resulted from the survey-taking process. Our findings support a call for several key changes in how researchers report and use item-ordering approaches that pertain particularly to IS online survey research. PubDate: Thu, 30 Dec 2021 09:00:08 PST
Authors:Simon Bourdeau et al. Abstract: 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 represents an important concern in the IS field. However, so far, few studies have examined the influence that project teams’ diversity has on IS project outcomes. To better understand this influence, we developed a multilevel research model that examined job tenure and organizational tenure diversity in ISP teams and their influence on team members’ satisfaction. We tested our hypotheses via hierarchical linear modeling (HLM) with data that we collected from 200 participants in 41 ISP teams. Our results indicate that job tenure influences the effect that job tenure diversity has on a team member’s satisfaction: while team “rookies” were more satisfied in teams that had greater job tenure diversity, team “veterans” were more satisfied when their teams had lower job tenure diversity. Via systematically applying both conceptual and methodological recommendations in combination, we address several limitations in past research and underscore the need to adopt a more nuanced and rigorous approach to examine diversity in project teams. PubDate: Thu, 30 Dec 2021 09:00:08 PST
Authors:Tianjie Deng et al. Abstract: In the era of electronic word-of-mouth, firms face pressure to respond to online reviews strategically to maintain and enhance their reputation and financial viability. With guidance from service recovery theory and affect theory, we developed a framework that classifies management responses to seek actionable opportunities to improve firm performance. Using 37,896 managerial responses to online reviews for 390 hotels in three U.S cities, we employed text-mining techniques such as sentiment analysis and topic modeling to develop a framework that classifies the responses into four categories: acknowledgment, account, action, and affect. We evaluated this framework’s effectiveness on subsequent reviews and hotel revenue. Among the management response characteristics, we found that acknowledgment and action were significantly associated with future review ratings. Furthermore, hotel class moderated the relationships between these characteristics and hotel revenue. This study provides recommendations to firms about how they can manage their resources to manage responses to online consumer reviews toward increased financial performance. PubDate: Thu, 30 Dec 2021 09:00:07 PST
Authors:Matt Germonprez et al. Abstract: As organizations increasingly use open source software, they inevitably routinize open source project engagement to manage new open source risks. We explore the software package data exchange (SPDX) standard as a key open source product for routinizing the work that open source risk management entails. The development and subsequent adoption of SPDX raise the questions of how organizations participate in SPDX to routinize open source work to better integrate with their own open source risk management routines, how organizations make sense of SPDX when improving their own open source risk management routines, and how a community benefits from the experiential knowledge that organizational early adopters contribute back to it. To explore these questions, we conducted a single-case, multicomponent field study in which we connected with individuals who helped to develop and later employed SPDX in their own organizations. Our results contribute to explaining how organizations routinize open source project engagement by observing organizational commitments to routinize aspects of open source risk management through communal interactions, organizationally specific interpretations, and deployments. PubDate: Thu, 30 Dec 2021 09:00:06 PST
Open Access journal
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