Institutional Work for Enterprise Architecture

2023 | Communications of the Association for Information Systems | Citations: 0

Authors: Ajer, Anne Kristin; Hustad, Eli; Olsen, Dag; Vassilakopoulou, Polyxeni

Abstract: Enterprise architecture (EA) is a systematic approach used for designing and im ... Expand

Abstract: Enterprise architecture (EA) is a systematic approach used for designing and implementing changes in technological systems and processes to improve organizational performance and align technology with business. This paper unpacks the process through which EA moves from strategic-level endorsement to diffusion across organizations. The insights provided are based on a longitudinal case study within the Norwegian hospital sector. An institutional work lens is adopted to analyze the purposeful activities carried out to introduce EA in Norwegian hospitals providing a granular view on diffusion. The paper provides a rich description of the institutional work employed by the key actors involved mapping them to different turns in EA's trajectory. Drawing from this analysis, we contribute to Information Systems literature with a conceptual model that illustrates how institutional work can mitigate the challenges of moving from the strategic-level endorsement of novelty to its diffusion and institutionalization smoothing downturns along the way. The findings indicate ways to facilitate the introduction of EA within complex organizations, providing insights for practitioners involved in EA initiatives, and advancing extant EA research through an institutional perspective. Collapse

Topics: digital innovation information systems strategy website innovation management

Methods: qualitative interview conceptual modelling field study case study longitudinal case study

Managing compliance with privacy regulations through translation guardrails: A health information exchange case study

2023 | Information and Organization | Citations: 0

Authors: Anderson, Chad; Baskerville, Richard; Kaul, Mala

Abstract: Information privacy is increasingly important in our digitally connected world, ... Expand

Abstract: Information privacy is increasingly important in our digitally connected world, particularly in healthcare, and privacy regulations are ramping up to promote appropriate privacy practices. As a digital platform that enables healthcare providers to exchange protected health information (PHI), a health information exchange (HIE) is governed by health information privacy regula­ tions. The challenge for HIEs is to operate in a way that will maximize information exchange while maintaining compliance with regulations that may constrain the sharing of PHI. Regula­ tions impose a measure of universality through compliance requirements, while being flexible to allow adaptation to the local context. However, our longitudinal case study into the privacy policies of an HIE, demonstrates that the journey of privacy ideas from their original formulation in regulations, to their ultimate enactment in an organizational setting, is accompanied by translations, such that the final implementation may vary extensively from its original form. Such variability often results in interpretations that differ from what the regulators intended. Conse­ quently, translation guardrails are necessary to protect against problematic translations of reg­ ulatory ideas which could lead to compliance issues and loss of platform participation. Our findings offer two contributions. First, we contribute to the compliance literature by explaining how guardrails can balance the use of permission and obligation schemas which are necessary to translate regulations into effective organizational policies for the success of HIEs and other in­ formation exchange platforms. Second, we contribute to extending translation theory by explaining how pragmatic reasoning schemas function as the mechanism through which trans­ lation of regulations occurs. Collapse

Topics: privacy information privacy law data security information exchange legal context

Methods: qualitative interview longitudinal research case study longitudinal case study literature study

Theories: organizational behavior theory

No Ground Truth at Sea – Developing High-Accuracy AI Decision-Support for Complex Environments

2023 | HICSS | Citations: 0

Authors: Bumann, Adrian

Abstract: As AI decision-support systems are increasingly developed for applications outsi ... Expand

Abstract: As AI decision-support systems are increasingly developed for applications outside of traditional organizational confinements, developers are confronted with new sources of complexity they need to address. However, we know little about how AI applications are developed for natural use domains with high environmental complexity, stemming from physical influences outside of the developers’ control. This study investigates what challenges emerge from such complexity and how developers mitigate them. Drawing upon a rich longitudinal single-case study on the development of AI decision-support for maritime navigation, findings show that achieving high output accuracy is complicated by the physical environment hindering training data creation. Further, developers chose to reduce the output accuracy and adapt the HMI design to successfully situate the AI application in an existing sociotechnical context. This study contributes to IS literature following recent calls for phenomenon-based examination of emerging challenges when extending the scope frontier of AI and provides practical recommendations for developing AI decision-support for complex environments. Collapse

Topics: artificial intelligence decision support decision support system geographic information system innovation management

Methods: qualitative interview single case study personal interview longitudinal research field study

Theories: socio technical theory

The Interplay Between Communitas and Anti-structure in Liminal Innovation

2023 | European Conference On Information Systems | Citations: 0

Authors: Gundersen, Ragnhild; Nicholson, Brian; Sæbø, Johan; Nielsen, Petter

Abstract: This paper contributes to the nascent debate in the information systems (IS) fi ... Expand

Abstract: This paper contributes to the nascent debate in the information systems (IS) field on liminal innovation by focusing on how tensions can be resolved during crisis. Liminal innovation is used by scholars to describe iterative processes of experimentation and implementation of IS during crisis. We draw on the concepts of communitas and anti-structure from the literature on liminality to analyse a longitudinal case study of digitalization of contact tracing in Norway during the COVID-19 pandemic and show how they mutually reinforce each other to create a sense of togetherness and urgency. We identify four resolutions to tensions emerging from this interplay: egalitarianism, autonomy, disobedience, and silo breaking. These manifestations of anti-structure and communitas allowed rapid and responsive innovation during a period of intense organizational and psychological stress, and thus contributed to positive performative outcomes by implementing a digital contact tracing system. Collapse

Topics: innovation management pandemic video conference decision making organization structure

Methods: qualitative interview longitudinal research focus group longitudinal case study case study

Strategies for Master Data Management: A Case Study of an International Hearing Healthcare Company

2023 | Information Systems Frontiers | Citations: 0

Authors: Haug, Anders; Staskiewicz, Aleksandra Magdalena; Hvam, Lars

Abstract: Data quality (DQ) issues consume a significant part of many companies’ administr ... Expand

Abstract: Data quality (DQ) issues consume a significant part of many companies’ administrative and operational costs. To reduce such costs, companies often engage in master data management (MDM) initiatives to improve their DQ. MDM is, however, not a silver bullet that solves all data quality issues, but typically there are trade-offs between different data management strategies. Such trade-offs have not received much attention in the academic literature, and conceptualizations of the strategies for implementing MDM are sparse. Thus, with the aim of conceptualizing MDM strategies and understanding their consequences, this paper conducts a longitudinal case study at a large international hearing healthcare company in which an MDM initiative was implemented. The analysis identifies consequences of centralized and decentralized MDM approaches, on which basis four distinct strategies for data management are defined. Collapse

Topics: data management database system data quality data governance

Methods: qualitative interview longitudinal case study longitudinal research single case study case study

Newcomers' Stress and its Effects on Well-Being during an IT Organization's Socialization Process

2023 | HICSS | Citations: 0

Authors: Hekkala, Riitta

Abstract: Previous research in other fields has shown an increasing interest in understand ... Expand

Abstract: Previous research in other fields has shown an increasing interest in understanding newcomers’ stress and its impact on professionals’ well-being. However, we still have a limited understanding of newcomers’ stress and its emotional, behavioral, and psychological effects in the information technology organization (IT) and information system (IS) development contexts. Moreover, the newcomers’ socialization process into IT work or/ and organizations remains unexplored in the IS field. We conducted a qualitative and longitudinal case study (pre-COVID-19) that helped us understand newcomers’ stress from IS project work, and how its consequences emerge during their socialization process. We provided information in response to the call for more understanding of newcomers’ stress elements in the IT organization and IS project context. It is important to understand different stress elements and their consequences because these elements impact individuals’ attitudes, behaviors, job performance, and health among other things. Collapse

Topics: IT project IT workforce software developer self efficacy systems development

Methods: qualitative interview longitudinal research longitudinal case study longitudinal interview

MANAGING FASHIONABLE ORGANIZING VISIONS: EVIDENCE FROM THE EUROPEAN BLOCKCHAIN SERVICES INFRASTRUCTURE

2023 | European Conference On Information Systems | Citations: 0

Authors: Hoess, Alexandra; Rieger, Alexander; Roth, Tamara; Fridgen, Gilbert; Young, Amber

Abstract: Grand visions for organizational transformation increasingly build on fashionab ... Expand

Abstract: Grand visions for organizational transformation increasingly build on fashionable information technologies. Organizational leaders may be tempted to adopt these visions due the high degree of legitimacy and mobilization they afford. However, their fashionable nature makes adoption risky. In this paper, we explore how organizations can manage this risk and successfully navigate the adoption of fashionable organizing visions. Specifically, we track how over the last five years the European Blockchain Partnership adopted a self-sovereign identity organizing vision based on blockchain. We find that successful adoption requires dynamic coupling and decoupling between vision and ITboth on a discursive and the material levels. Moreover, it requires effective management of 'sensegiving' and 'sensebreaking' by the innovation community. Collapse

Topics: blockchain sensemaking generative AI artificial intelligence

Methods: qualitative interview business process modeling qualitative coding single case study case study

Between scale and impact: member prototype ambiguity in digital transformation

2023 | European Journal of Information Systems | Citations: 0

Authors: Jarvenpaa, Sirkka L.; Selander, Lisen

Abstract: Digital transformation can produce scaling in numbers – growing organisational b ... Expand

Abstract: Digital transformation can produce scaling in numbers – growing organisational boundaries by adding new users, customers, or members. For membership-based organisations, such as social movement organisations (SMOs), digital scaling brings an inflow of new resources and members at a pace that previously was unimaginable, as well as mounting power and influence. But sustained rapid growth in new membership also can introduce a tension related to digital scaling and political or social impact. In this research, we trace this tension to member prototype ambiguity – that is, to a perceived variation in the attributes, assumptions, and actions of the new members entering the organisation. Such ambiguity can have a destabilising effect on collective identity that might significantly weaken the political or social impact of the SMO. In this longitudinal study of Amnesty International, we examine how digital transformation and scaling unveiled this tension and how the professional core at two of Amnesty’s national sections, Australia and Sweden, addressed the prototype ambiguity that ensued. This research contributes to the existing literature on digital transformation, prototype ambiguity, and social movements, by providing insight into the challenges and opportunities presented by digital scaling in membership-based organisations such as SMOs. Collapse

Topics: digital transformation digital platform social media green IS unintended consequence

Methods: design artifact qualitative interview longitudinal research triangulation longitudinal case study

The Role of Emotions in Human-AI Collaboration

2023 | International Conference on Information Systems | Citations: 0

Authors: Knickrehm, Charlotte; Reichmann, Doron

Abstract: Because AI has distinct abilities that enable the automation of tasks that usua ... Expand

Abstract: Because AI has distinct abilities that enable the automation of tasks that usually require human intelligence, it can affect various emotions ranging from excitement about efficiency gains to the fear of being replaced. At the same time, emotions constitute key drivers of employee behavior and thus may determine whether and how AI users collaborate with AI. We raise the question of what AI users consider important in the light of human-AI collaboration and how these aspects relate to their emotional attitudes towards this technology. We address this research question by collecting longitudinal data regarding the AI implementation in three companies. We use qualitative coding to identify important aspects of human-AI collaboration from semi-structured interviews conducted at different stages of the AI implementation. Moreover, we use voice analysis to measure the interviewees' emotional state while speaking about different aspects of human-AI collaboration. Collapse

Topics: artificial intelligence human AI collaboration human computer interaction application programming interface database system

Methods: qualitative interview qualitative coding regression analysis method mixed method longitudinal research

Theories: affective events theory

Leveraging Digital Platforms Through Business Model Innovation in SMEs: A Capability Perspective

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Korneeva, Ekaterina; Hönigsberg, Sarah; Dinter, Barbara

Abstract: ... Expand

Abstract: Collapse

Topics: business model digital platform innovation management information technology capability knowledge management

Methods: case study qualitative coding qualitative interview longitudinal research longitudinal case study

Theories: dynamic capabilities theory