This Article is Not Just in English: Making Science More Inclusive and Impactful with Artificial Intelligence Translation

Humanity is linguistically diverse, but science is not. Academic success requires English-language mastery. Every major conference, every major journal – even this one – assumes it. English-language bias in science is so strong that it is taken for granted by most scientists and scientific associations, never talked about nor addressed. This is unfair and creates great costs and missed opportunities. It is also unnecessary. Artificial intelligence (AI) translation tools are becoming very good, very fast, allowing us to foresee a multilingual science. Our provocation to readers is: How should we harness AI translation tools for a more impactful, inclusive science? This is a challenge ideally suited to Information Systems scholars because it involves designing sociotechnical artifacts and practices for a better future. To demonstrate feasibility, this article went through a multilingual review process and is published in five languages, all enabled by AI translation.   

Practitioners’ Attitudes and Intentions to Use Information Systems Research: A Mixed Method Study of the Research Format

Balancing research relevance and rigour has been a long-standing concern in the Information Systems (IS) discipline, crucial for advancing academic understanding and disseminating knowledge to practitioners. This paper addresses the need for effective knowledge product translation and dissemination by proposing the use of animated research briefs with visual storytelling cues. Grounded in the cognitive theory of multimedia learning and critical narrative theory, these briefs aim to make research more accessible and engaging for IS practitioners. A mixed-method approach is deployed: (1) a survey-based experiment to assess how research format influences practitioners' attitudes, which in turn affect their intentions to use academic research to solve work-related problems in the near term, and (2) in-depth interviews to explore practitioners’ perceptions of different research formats and their impact on the intention to use academic research in the near term. The paper offers new insights into the effectiveness of multimedia formats in enhancing practitioner engagement and understanding, thereby fostering a more effective dissemination and translation of research knowledge for practitioner audiences

Emerging Leadership Practices for Hybrid Work: The Role of Algorithmic Management Tools

This paper examines the impact of algorithmic management (AM) tools in the increasingly popular hybrid workplace and the emergence of novel leadership practices in hybrid work settings. Particularly, we explore the use of an Employee Experience Management (EXM) platform – Microsoft Viva – that has AM features in enabling emerging leadership practices influenced by algorithms. Using a qualitative approach with a case study design of a multinational organisation that adopted an EXM platform, the study findings reveal that AM tools contribute to emerging leadership practices that reflect inclusive, humanised, and multimodal modes of leadership – all of which are underpinned by analytics-enabled leadership. The combination of these modes of leadership and associated practices is believed to respond to the challenges in employees’ work environment and enhance the employee experience in a hybrid workplace

“There is No ‘AI’ in ‘TEAM’! Or is there?” – Towards meaningful human-AI collaboration

AI is increasingly embedded in collaborative processes, challenging traditional notions of teamwork. While AI lacks consciousness and human-like intentionality, its ability to shape decision-making, structure interactions, and contribute to shared outcomes necessitates a reassessment of what it means to be a team member. This paper critically examines AI’s role in human-AI collaboration, arguing that effective teamwork is not solely defined by mutual understanding but by the complementary contributions of human and AI actors. We highlight the importance of context in shaping collaboration and propose a research agenda structured around five key aspects: (1) rethinking team membership, (2) evolving team roles, (3) the influence of contextual factors, (4) adaptive collaboration practices, and (5) ethical considerations. We call on scholars and practitioners to explore these dimensions to ensure that human-AI teams align with organizational goals and societal value

Building Accountability in e-government Services: Inputs for Policy

Governments worldwide are investing many resources in developing digital government infrastructure and networks. Government webpages and supersites are substituting for their brick-and-mortar offices and physical state-citizen communication. This shift is transforming the administration and the process of digital government. We also see a growing push for expanding the role of citizens as participants and co-creators of policy and programs for establishing a collaborative digital government. This study examines the Indian e-government setup to explain how governments can ensure ‘accountability by policy design,’ or Digital Accountability (DA), on e-government service (eGS) websites. A mixed-method research design is used to uncover the critical design factors that can help build and maintain accountability on any government service (eGS hereafter) website. Our results show that Transparency remains the most important dimension, but concerns about security and privacy have also become foundational to the conceptualisation of accountability. Another important finding shows that building accountability is meaningful only if there is responsiveness and a sense of user control over the services. The findings also establish an explicit requirement to establish liability for service quality and effectively enforce a sense of accountability in modern eGS. We believe our findings can help improve the theoretical understanding of accountability in eGS while providing actionable insights to practitioners and policymakers to ensure accountable services in the digital age

Understanding Boredom in Online Commerce: A Systematic Literature Review

Boredom is a ubiquitous emotion, whether in a moral, social, or practical sense. In the context of digital communications and business, extensive research has explored the ways in which this adverse sentiment influences the utilisation of digital technology. However, these studies have ignored this phenomenon in the context of online commerce. The present work aims to assess knowledge on boredom in this context. Through a review of 103 studies using grounded theory method for rigorous literature review, an inductive framework using five building blocks is built. From an individual’s perspective, the framework foregrounds that boredom is caused by individual, situational, and their mismatch factors. As a result of boredom’s self-regulatory function, individuals often search for internal and external stimulation from social commerce, resulting in both positive and negative outcomes. The findings of this study indicate that boredom is both a performance and a health barrier; however, proper understanding and intervention tactics that utilise constructive alleviation strategies can lead to promising results in self-development. Furthermore, the findings also indicate how regulated and unregulated boredom affects the market performance of online commerce and how preventing and regulating this emotion can lead to sales

Supporting Organisational Agility through Boundary Spanning and Knowledge Brokering in a Dual Operating System: A Case from the Software Industry

One challenge that organisations face today is how to develop organisational agility to remain competitive within a constantly turbulent, dynamic, and potentially disruptive environment. In this paper, we examine how a software development company operationalises Kotter’s concept of a dual operating system to support organisational agility. The first operating system, the traditional hierarchical structure, enables the company to focus on providing efficiency and stability in its core operations. The second operating system prioritises flexibility. It is operationalised via boundary spanning and knowledge brokering activities rooted in a dedicated organisational unit that enables rapid response to environmental changes. We analyse the unit’s and its members’ approach and identify well-functioning activities and practices contributing to organisational agility as well as challenges and problems. As such we contribute to an improved understanding of how an intertwined strategy of boundary spanning and knowledge brokering, operating alongside a traditional hierarchical structure, forms a balancing mechanism between flexibility and stability, thus enabling organisational agility

Augmented Reality and the Metaverse - Speculating about the Future

Imagine a world where the boundaries between physical and digital realities dissolve, creating immersive experiences that transform how we interact. This potential lies at the heart of the Metaverse, and a confluence of technologies such as AR, VR, AI and blockchain will be the key to unlocking it. We employ a novel combination of horizon scanning and narrative development to explore the transformative role of AR within the Metaverse. This approach reveals potential technology-driven futures, highlighting emerging trends and disruptions not readily apparent through traditional forecasting methods. Our narratives of the future offer surprising glimpses into potential sociotechnical futures, informing a research agenda for both industry and academia

An Identification-based Understanding of Team Engagement in Global Virtual Teams (GVTs)

Because of globalization and technological advancements, organizations have adopted virtual work arrangements, specifically Global Virtual Teams (GVTs). This study conducted a 16-month ethnographic inquiry in a multinational enterprise to explore team engagement in GVTs. The findings indicate that GVT members often handle multiple roles across various teams and organizations and identify with these entities separately, thus displaying different levels of identification with roles, teams, and organizations. These three identification cascades affect other members' engagement and overall team engagement. Higher levels of identification with roles, teams, and organizations trigger a positive engagement contagion across the GVT, whereas a lower level of identification triggers a negative engagement contagion. We also identify four distinct configurations of GVT members, illustrating the complex nature of engagement dynamics in GVT settings. This identification-based understanding of engagement in GVTs contributes to the literature on team engagement and IS by highlighting the significance of understanding the sensitive dependence of GVT team engagement on members’ identification with their roles, teams, and organizations and subsequent engagement contagion