preprint OISI26 t-10 inst_AI2 - Communicative Infrastructures for Organisational AI: Why Generative Systems Require Accountability Architectures

Large language models are rapidly entering organisational communication workflows, where they are used to draft emails, recommendations, reports, and operational messages. This development signals a shift in the design problem of information systems from managing information to sustaining accountable communication. Although generative systems produce fluent text, fluency alone does not establish the institutional standing of a communicative act. In organisational settings, expressions such as proposals, approvals, and instructions acquire meaning only when issued by identifiable actors operating in recognised roles within communicative processes that support accountability. When AI-generated text circulates without explicit institutional framing, organisations may struggle to reconstruct how decisions emerged and who assumed responsibility for them. This paper argues that the effective integration of generative AI requires attention to the communicative infrastructures through which organisational acts become accountable. By bringing into dialogue research on generative AI, the language–action tradition, and socio-technical studies of digital infrastructures, the paper introduces the concept of communicative infrastructures and proposes accountability architectures as a minimal design response to AI-mediated organisational communication. The contribution is conceptual and design-oriented, offering a new perspective on how information systems should be theorised and designed in the age of generative language technologies

One Size Doesn’t Fit All: Understanding Social Media Platform Regulation in India

Growing concerns over platform accountability and content governance have led to expanded state intervention in social media regulation. In India, the Information Technology (Amendment) Act and its successive IT Rules aim to impose obligations on platforms while safeguarding user rights. We investigate how the Indian state defines platform responsibilities and how platforms interpret and comply with these expectations. Through a two-stage document analysis of legislative texts, government-mandated compliance reports from X, WhatsApp, and ShareChat, and publicly available information about the platforms, we reveal significant divergences in compliance shaped by each platform’s technological infrastructure, business model, and sociality. Our findings highlight the ITAA’s failure to account for platforms’ technological agency and emphasize the need for nuanced, platform operations sensitive regulations. Crucially, this assessment comes as India prepares to overhaul the IT Act with a new Digital India Act, making it timely for informing more effective and balanced regulation that aligns with platform realities while safeguarding democratic discourse online. Our insights are globally relevant, as governments worldwide seek effective strategies for creating safer online environments

Quality, security, and privacy assurance in software development: proactive integration or just workflow-slowing checkpoints?

In software development, the integration of assurance methodologies such as quality, security, and privacy practices is essential to producing high-quality, reliable, and compliant products. This paper investigates the adoption and effectiveness of these assurance practices within the daily operations of software development. Through an industry survey of 88 software development professionals in Finland, this study examines the order and consistency with which developers apply assurance practices during projects, and the challenges they face in performing these tasks. The results show that while developers recognize the importance of assurance, many organizations still treat it as a separate, secondary activity rather than a core part of the development lifecycle. Key findings show that quality practices are more consistently integrated into daily operations compared to security and privacy measures, which tend to be reactive. The paper highlights the tension between agile practices, which promote flexibility and continuous improvement, and the more rigid, process-heavy nature of assurance tasks. The study underscores the need for a shift in both industry practices and educational approaches to fully embed assurance into software development

When Knowledge Diversity and AI Climate Enable Innovation: A Mediated Necessary Condition Analysis

Background: Drawing on the principles of social exchange theory (SET) and the job demands-resources (JD-R) model, this study examines how individual knowledge diversity (IKD), artificial intelligence-driven climate (AIC), and perceived sustainability integration (PSI) affect employee innovative behavior (IB) through the mediating role of psychological contract breach (PCB). Method: We collected multi-wave data from 319 full-time employees in private service sector organizations in Pakistan, using a 30-day time lag between each wave. Study 1 employed partial least squares structural equation modeling (PLS-SEM) to assess hypothesized relationships and mediation effects. Study 2 applied necessary condition analysis (NCA) to evaluate whether the proposed antecedents represent indispensable preconditions for employee IB. Result: Findings show that IKD and AIC have significant positive effects on IB, which are partially mediated by PCB. PSI, however, exerts no direct influence on IB but indirectly contributes via PCB and exhibits a full mediation effect. NCA further confirms that both IKD and AIC are necessary conditions for IB, while PSI does not qualify as a necessary precondition. Conclusion: This study contributes theoretically by positioning PCB as a core psychological mechanism through which organizational resources and values influence innovation outcomes. It also expands the IKD literature by extending its scope to the individual level and enriches methodological insight through the combined use of PLS-SEM and NCA. Practically, the findings underscore the importance of investing in AI infrastructure, structured support systems, IKD strategies, and trust-building mechanisms to enhance innovation climates

The Curse of Experience in Creative Crowdsourcing Contests and Contest Searches as a Remedy

In creative crowdsourcing contests that seek novel ideas and solutions, experience can help solvers use relevant knowledge to generate solutions, but may also cause solvers to fixate on familiar solution paths, which we call the “curse of experience.” This study examines how experience affects solvers’ performance in such contests and how contest searches (searching descriptive information about other contests), as a type of external information-seeking activity, moderate the effects of experience. Our analyses show that both the benefit and the curse of experience coexist. Solvers’ experience contributes to a higher likelihood of generating acceptable submissions (solutions meeting basic quality standards) but reduces the chance of creating winning solutions (extreme-value solutions selected as contest winners). Contest searches prior to participation in a contest provide solvers with contest choices, strengthening the beneficial effects of experience on creating both acceptable and winning solutions. Contest searches that occur during participation in a contest, although potentially triggering an overload effect that decreases the beneficial effect of experience on solution acceptance, also bring new ideas and inspiration to solvers’ solution search processes, reducing the impedimental effect of experience on creating winning solutions. Searches of contests that differ in skill or context from the focal contest are beneficial for both prior and parallel contest search processes but are not always fully utilized by solvers. These findings delineate a comprehensive picture of how contest search activities can remedy the curse of experience and inform the effective design and use of search features for crowdsourcing platforms and solution seekers to help improve solvers’ performance

Understanding Students’ Adoption of Microlearning: A TAM-PVM Integration

Microlearning has gained significant traction in educational settings owing to its distinct pedagogical advantages. However, students’ intention to use these courses remains low. To enhance students’ willingness to engage with microlearning, a comprehensive framework is introduced to explore the determinants of their use intention. Data was collected via an online survey, with 320 valid responses obtained. The reliability and validity of the measurements were assessed, and hypotheses were tested using structural equation modeling analysis in SmartPLS 3.0. The results indicate that benefit factors including perceived usefulness and social influence are positively associated with students’ perceived value, which in turn influences their subsequent intention to use microlearning. In addition, the cost factor of perceived ease-of-use positively impacts both perceived value and use intention, whereas the effect of perceived cost is insignificant. Furthermore, students’ perceived value significantly predicts their intention to use microlearning. This study offers vital theoretical insights by integrating the Technology Acceptance Model and Perceived Value Model, and provides practical implications for fostering students’ intention to adopt microlearning

Processes and Performance in Technology-Enabled Teams: The Mediating Role of Team Ambidexterity

Information systems (IS) usage by team members within organizational teams is crucial to organizational work. Research shows that in addition to IS use, teams work through a number of processes (e.g., coordination, communication, conflict management, knowledge sharing) and develop emergent states (e.g., cohesion, ambidexterity) that influence their effectiveness. This research theoretically explores the distinction between team processes and emergent states and how they affect team outcomes. Specifically, it focuses on how the emergent state of team ambidexterity mediates the relationship between the team processes of IS usage and coordination and team performance. We conducted an observational study and a quantitative study with 106 team members in 33 teams in an organization. The findings indicate that team ambidexterity mediates the relationship between team IS usage and performance, as well as team coordination and performance. This research contributes to a better understanding of the construct of team ambidexterity and the concepts of team processes and emergent states and their relative roles in affecting team performance in technology-enabled work. We discuss the theoretical implications and contributions of our work and provide avenues for future research