AIS Electronic Library (AISeL)
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Should Swifties Travel to Paris? A Structured Literature Review on the Environmental Impact of Event Tourism and Methods for Measuring Sustainability of Events
Full text linkThis paper presents a systematic literature review (SLR) on methods and themes being discussed in current literature to measure and monitor sustainability in events, structured through a concept matrix. The analysis categorizes studies into six themes: Environmental Management, Economic Sector, Choice of Transport, technology use, Event Types and Assessment of Environmental Impact. The study highlights the lack of standardized assessment frameworks, inconsistencies in methodology, and outdated tools, making cross-event comparisons difficult. Additionally, data collection limitations and reliance on assumptions hinder accurate impact measurement. While transportation and energy consumption are widely studied, supply chain and construction impacts remain underexplored. Future studies should focus on developing unified sustainability metrics, enhancing real-time data tracking, and improving digital tools for event impact assessments. Strengthening decision-support systems and increasing stakeholder collaboration will be crucial in advancing sustainability in event management
The Role of Generative AI in Alleviating Auditor Burnout
Full text linkGenerative AI (GenAI) profoundly impacts auditing by serving as a resource while also adding burdens through process redesign and training demands. Given the increasing prevalence of burnout in auditing, this study applies Job Demands–Resources Theory to investigate how GenAI use shapes job demands and resources, influencing core outcomes such as burnout and work engagement, which in turn affect auditors’ well-being, job satisfaction, and performance. It explores whether auditors can offload routine tasks to GenAI and redirect their efforts toward more meaningful, engaging work. This is a work-in-progress study in which we present our backgrounds, research model, methodology, and the anticipated implications
Sounding Trustworthy: AI-Generated Audio Outperforms Video and Images in Political Communication
Full text linkArtificial Intelligence (AI) is transforming political communication through AI-generated content, including deepfake videos, synthetic voices, and digitally manipulated images. While these advancements offer new opportunities for engagement, they also raise concerns about misinformation and political trust. This study investigates the effects of AI-generated media formats on individuals\u27 willingness to follow political recommendations and the role of media realism in shaping trust. Through an online experiment, 150 participants assessed political content in varying degrees of realism across audio, video, and image formats. Results were analyzed using a combination of linear mixed effects analysis and natural language processing, and indicate that AI-generated audio is perceived as more trustworthy than image or video content, while lower realism levels trigger skepticism. These findings contribute to discussions on political AI, emphasizing the need for media literacy and regulatory frameworks to mitigate misinformation risks
Making the Little Brother Matter as Much as the Big One: Ensuring Equitable Partnership in Inter-municipal Collaboration for Digital Transformation
Full text linkDifferences among municipalities (in size, location etc.) impact equal access to welfare services, making inter-municipal collaboration crucial. This study examines a digital transformation initiative between a smaller and a larger municipality, analyzing how institutional entrepreneurs (IEs) ensure equitable collaboration. Based on thematic analysis of 53 structured interviews, findings show that IEs drive equitable DT by emphasizing complementary strengths, a shared vision, and mutual benefits. Unlike previous research suggesting collaboration is most intensive early on, our study highlights the ongoing importance of discourse and shared framing. While financial concerns emerged, strong national support and a commitment to equal welfare mitigated risks. Over time, IEs shifted from assertive leadership to shared responsibility, fostering long-term collaboration and sustainability. This research contributes to IS literature by providing empirical insights into IEs and inter-organizational collaboration in public sector, offering valuable guidance for policymakers and practitioners implementing similar initiatives
Can you imagine? How Perceived Humanness Influences the Negative Effect of Hallucinations by Conversational Agents
Full text linkDriven by the maturing of Large Language Models (LLMs), companies have begun to implement Conversational Agents (CAs) (e.g., chatbots) for customer service. CAs are often designed to appear human-like (e.g., with a human name and avatar), which increases service satisfaction. However, LLMs are prone to hallucinations (i.e., generating inaccurate or non-existent information). In this research, we want to investigate this LLM-specific error type. Following the algorithm aversion theory, errors are more penalized by algorithms. We hypothesize that hallucinations follow the same rule. Based on the Computers-are-Social-Actors (CASA) theory, this expectation should transfer to human-like CAs. The results of our online experiment support that perceived humanness positively affects service satisfaction and mitigates the negative effect of hallucination. For theory, we provide evidence that hallucinations follow other types of errors. For practitioners, we recommend implementing a human-like CA based on an LLM
BALANCING TAKING AND GIVING: CONTEXTUALIZATION OF SOCIAL SUPPORT AND SOCIAL OVERLOAD IN ONLINE MENTAL HEALTH COMMUNITIES
Full text linkOnline mental health communities provide spaces for individuals with mental health issues to receive social support. However, such interaction has a dark side since giving back social support may result in social overload. By employing social support theory and social overload theory, we frame these concepts within the online context. Our study with 110 online mental health community members revealed that social support and social overload do not directly interact; instead, social overload arises only when social support translates into supportive behavior. Additionally, we expand previous research by highlighting that community cohesiveness and a sense of universality are crucial in determining social support for members. We propose that individuals within online mental health communities first need to establish a certain safe space before they become active themselves
Measure With Care! An Integrative Perspective of EU Digital Government Benchmarking
Full text linkAdvancement and quality of Digital Government (DG) are located among the essential factors in the EU policies’ effectiveness, hence the high relevance of their informed assessment. From a global perspective, all EU Member States represent a very high level of DG development. Within this group, however, the differences are significant. Also, different DG measurement instruments happen to yield results incompatible with one another. In this study, we analyze the concepts and design of three established benchmarking projects — EU’s eGovernment Benchmark, UN’s E-Government Survey, and OECD’s Digital Government Index. Then, we transform and combine their indicators’ recent data for most EU Member States to propose the first iteration of a synthetic “meta-indicator” of DG development (DGBAL), and argue that through the adoption of such an approach, peculiarities and nuances of specific instruments are mitigated for the sake of a credible data-based, but more balanced and comprehensive insight into countries’ DG performance
TO COOPERATE OR TO COMPETE? – USING GAMIFIED INFORMATION SYSTEMS TO FOSTER INNOVATIVE BEHAVIOR IN EMPLOYEE-DRIVEN INNOVATION
Full text linkEmployee-driven innovation aims at unveiling and utilising employees’ creativity and expertise in creating new products, services, processes, and business models. Likewise, gamification was found to facilitate employee-driven innovation. However, how different gamification dynamics—particularly competition and cooperation—influence the innovative behaviour of employees still needs to be explored. To address this gap, we studied the effect of cooperative and competitive gamification designs on low-code development platforms. Our study identified different influences of game elements for cooperative and competitive dynamics, either supporting or even hindering the innovative behaviour of employees in app development. This research enriches the ongoing discourse surrounding user behaviours and the consequences of implementing gamification into information systems. Moreover, the insights provide practitioners with a deeper understanding of the differential impact of gamification dynamics and help them anticipate the potential for employee-driven innovation initiatives
ROBOTS IN THE FIELD: THE ROLE OF COGNITIVE ELEMENTS IN ORGANISATIONS’ STRATEGY SEARCH
Full text linkThe paper investigates the commercialization of field robots by a Scandinavian organization as a process that influenced the organization as well. This emerging autonomous technology shows a slow diffusion in a highly competitive environment. In our study, we apply the cognition lens in an abductive fashion. Using a qualitative approach, we employ hybrid thematic analysis and temporal bracketing. Our findings reveal the 3 phases of change for the organization throughout commercialization related to various constellations of strategy makers. We interpret the search for strategy as an ongoing process involving CEO’s and investors’ cognition and being prominently influenced by their personal values and mental representations. Furthermore, the role of collaborations, e.g., with like-minded dealers, is highlighted. Our study is valuable for the academic discourse, discussing the role of cognitive elements in strategy search and its change over time influenced by the environment, and for strategy makers in organizations
Developing a Knowledge Sharing Strategy through the Lens of Activity Theory
Full text linkThis study addresses a research gap in the strategic management of knowledge sharing, as current knowledge management strategies do not adequately cover this aspect. Through the lens of Activity Theory, we aim to create a generic knowledge sharing strategy. We conducted interviews with 13 participants, analysing the data through thematic analysis. The study examines six key elements within Activity Theory—subject, object, tools, community, rules, and division of labour—that significantly impact knowledge sharing. Based on these elements, we developed an individual AT model, highlighting essential contradictions in knowledge sharing. We then proposed establishing knowledge communities and updating the individual AT model to mitigate the contradictions. Additionally, we introduced a role identification matrix, particularly in the division of labour, to clarify roles and responsibilities within the new strategy. The strategy has broad applicability for organisations seeking to formalise and optimise their knowledge sharing practices