Examining the case of French hesitancy toward IDaaS solutions: Technical and social contextual factors of the organizational IDaaS privacy calculus

2023 | Information & Management | Citations: 0

Authors: Abdalla Mikhaeil, Christine; James, Tabitha L.

Abstract: Identity-as-a-service (IDaaS) is a cloud security service to which companies can ... Expand

Abstract: Identity-as-a-service (IDaaS) is a cloud security service to which companies can outsource the identity and access management (IAM) functions that administer their employee’s access to organizational resources. Engaging with the information systems (IS) privacy literature, our qualitative analysis develops a framework for an organiza­ tional privacy calculus that informs French organizational consumers’ decisions to pursue IDaaS solutions. We collect data from employees of a multinational IDaaS provider operating in Europe but headquartered in the US. Our case study reveals the organizational privacy calculus associated with transferring control of a primary security control to a multinational cloud service provider. Collapse

Topics: cloud computing information privacy concern marketing management privacy internet of things

Methods: qualitative interview case study company material single case study personal interview

Theories: privacy calculus theory

How AI-Based Systems Can Induce Reflections: The Case of AI-Augmented Diagnostic Work

2023 | Management Information Systems Quarterly | Citations: 0

Authors: Abdel-Karim, Benjamin; Pfeuffer, Nicolas; Carl, K. Valerie; Hinz, Oliver

Abstract: This paper addresses a thus-far neglected dimension in human-artificial intelli ... Expand

Abstract: This paper addresses a thus-far neglected dimension in human-artificial intelligence (AI) augmentation: machine-induced reflections. By establishing a grounded theoretical-informed model of machine-induced reflection, we contribute to the ongoing discussion in information systems (IS) regarding AI and research on reflection theories. In our multistage study, physicians used a machine learning-based (ML) clinical decision support system (CDSS) to see if and how this interaction can stimulate reflective practice in the context of an X-ray diagnosis task. By analyzing verbal protocols, performance metrics, and survey data, we developed an integrative theoretical foundation to explain how ML-based systems can help stimulate reflective practice. Individuals engage in more critical or shallower modes depending on whether they perceive a conflict or agreement with these CDSS systems, which in turn leads to different levels of reflection depth. By uncovering the process of machine-induced reflections, we offer IS research a different perspective on how such AI-based systems can help individuals become more reflective, and consequently more effective, professionals. This perspective stands in stark contrast to the traditional, efficiency-focused view of MLbased decision support systems and also enriches theories on human-AI augmentation. Collapse

Topics: artificial intelligence decision making decision support system algorithmic transparency recommender system

Methods: cognitive walkthrough survey theory development qualitative interview Student's t-test

Theories: learning theory information systems theory theory of abduction

Building Climate Resilience in Smart Cities Using Open Data Services

2023 | HICSS | Citations: 0

Authors: Ahdekivi, V.; Ghanbari, H.; Rossi, M.

Abstract: Climate change and its consequences are among modern societies' most critical c ... Expand

Abstract: Climate change and its consequences are among modern societies' most critical challenges. To that end, cities have focused on using information technology in their climate mitigation efforts in smart cities. Considering the magnitude of the problem and its impact on our societies, the need for building climate-resilient smart cities is crucial. In this study, we aim to understand how smart cities can achieve climate resilience. Conducting an exploratory field study and using the urban climate resilience framework as a theoretical lens, we suggest that smart cities can leverage the potential of open data and citizen engagement to reach climate resilience. In particular, our results show that building climateresilient cities requires structural changes in citizen engagement processes and climate considerations. To that end, open data services and tools can be used to improve citizen engagement processes and develop more sustainable smart city solutions. Collapse

Topics: smart city open data climate change digital dashboard crowdsourcing

Methods: qualitative interview field study qualitative content analysis personal interview qualitative coding

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

ARCHITECTURE WORK: MODES OF ARCHITECTING IN LARGE-SCALE INFRASTRUCTURES

2023 | European Conference On Information Systems | Citations: 0

Authors: Ajer, Anne Kristin; Øvrelid, Egil

Abstract: IT architecture forms the digital core of contemporary organisations; thus, arc ... Expand

Abstract: IT architecture forms the digital core of contemporary organisations; thus, architecture work directly concerns the transformation of these organisations. The literature on architecture work and architecting has identified the principles, styles and characteristics that define the policy ideals of architecture work and has demonstrated how these drivers play out in real-world projects. With an in-depth case study, we add to this literature by investigating the multilevel challenges that architects address in transforming large-scale infrastructures and how major challenges come to the surface during the architecting process. Our empirical evidence comes from our longitudinal investigation in a large health region in Norway. We offer two contributions. First, identification and a rich description of three modes of architecting framed as functional, spatial and temporal dualities. Second, we integrate the empirical data into a process model and theorise how contextual and professional drivers are transformed through the architecting modes and form the actual results. Collapse

Topics: information systems strategy logistics management application programming interface innovation management situational awareness

Methods: qualitative interview case study personal interview theory development business process modeling

The role of system-use practices for sustaining motivation in crowdsourcing: A technology-in-practice perspective

2023 | Information Systems Journal | Citations: 0

Authors: Alam, Sultana Lubna; Sun, Ruonan

Abstract: The success of crowdsourcing (CS) systems depends on sustained participation, wh ... Expand

Abstract: The success of crowdsourcing (CS) systems depends on sustained participation, which is an ongoing challenge for the majority of CS providers. Unfortunately, participants are frequently demotivated by technical difficulties and the incorrect use of CS systems, which can result in CS failure. Although the literature generally assumes that sustained participation in CS is determined by a shift between intrinsic and extrinsic motivation, the role of system-use practices in facilitating such a shift remains unknown. We explore how CS system-use practices influence participants' sustained motivation, evolving from initiation to progression to sustention. Using the notion of technology-in-practice as a lens, we develop and examine a process model using an in-depth case study of a large-scale ongoing CS project, the Australian Newspaper Digitisation Program. The findings suggest that CS participants' motivation is shaped by an evolving combination of three basic components (i.e., contextual condition, outcome and action intensity) and mediated by two types of system-use practice (i.e., passive and active). Passive-use practices facilitate sustaining motivation from initiation to progression, whereas active-use practices have a key role in sustention. Our study contributes to the emerging literature on the substantial role of system-use practices in sustaining motivation, resulting in sustained participation. The findings also offer actionable insights into improving the viability of CS systems in retaining and motivating continuous and increased contributions from participants. Collapse

Topics: information system use strategic management intrinsic motivation

Methods: qualitative interview case study business process modeling theory development synthesis

Theories: technology acceptance theory

Measuring Workers’ Perceptions of Algorithmic Control: Item Development and Content Validity Assessment

2023 | HICSS | Citations: 0

Authors: Alizadeh, Armin; Hirsch, Felix; Benlian, Alexander; Wiener, Martin; Cram, W. Alec

Abstract: Algorithmic control (AC) refers to organizations’ use of increasingly intelligen ... Expand

Abstract: Algorithmic control (AC) refers to organizations’ use of increasingly intelligent algorithms and related digital technology to steer worker behavior. While previous studies have identified and conceptualized various forms of AC in both platform and traditional work contexts, the presented conceptualizations lack measurability. This key shortcoming hampers further empirical research on the current use of AC and its manifold consequences. In this study, we report on the item development process for a scale for measuring perceived AC from a workers’ perspective. Following well-established approaches, an initial item pool was developed. The items were discussed and refined with the support of five academic experts and three AC workers. A subsequent rating study with 98 workers was conducted to ensure the content validity of all items. On this basis, the study at hand presents a comprehensive set of items for both AC in general and its seven sub-dimensions. Collapse

Topics: platform worker organizational context technostress database system ride sharing platform

Methods: qualitative interview survey design card sorting computational algorithm survey

WHAT IS THE BETTER NUMBER? INTERPRETING EVALUATIVE INTELLIGENT TECHNOLOGIES IMPLEMENTATION FROM A POWER DYNAMICS PERSPECTIVE

2023 | European Conference On Information Systems | Citations: 0

Authors: Alsaedi, Basmah; Newell, Sue; Gkeredakis, Emmanouil

Abstract: Intelligent technologies are increasingly used to evaluate and monitor performa ... Expand

Abstract: Intelligent technologies are increasingly used to evaluate and monitor performance through implementing specific metrics such as Key Performance Indicators (KPIs). Recently, scholars have called to better engage with intelligent technologies specific features and their production process, which otherwise remain black-boxed. We aim at developing greater insights into how practices enacted by different end-user's shape and reshape the production of KPIs in technological change initiatives. This research employs a critical, process oriented and performative view of power to emphasise both its negative and productive effects. We highlight the pursuing (push)-withdrawing (pull) dynamics which lie in iterative and recursive acts of power and resistance involving a range of actors who collectively, albeit inadvertently and differently, change the meanings technological outcomes perform. Finally, we show that technologies that might initially seem to fail can 'take off' through persistent and positive power effects. Collapse

Topics: technological change systems development organizational change decision making business intelligence

Methods: qualitative interview single case study triangulation field study personal interview

Data Sharing Frames: How Scientists Understand the Work of Sharing Scientific Data

2023 | International Conference on Information Systems | Citations: 0

Authors: Amagyei, Nana Kwame; Engesmo, Jostein; Panteli, Niki

Abstract: The curation of data is fundamental to their wider dissemination and use. This ... Expand

Abstract: The curation of data is fundamental to their wider dissemination and use. This paper investigates the frames of workers who perform data curation in scientific contexts. We view data curation as a sense-making practice, where workers collaborate to disseminate meaningful data to a broad set of prospective users. Previous Information Systems investigations have suggested that data-related activities are dependent on workers' understanding of their local work context. We expand this with an evolving and longterm view. We use a stepwise-deductive induction method to examine how scientists understand the work involved in curating scientific data for public sharing. We draw on frames as the theoretical lens of the study that enables us to identify three data sharing frames -the object, curation, and aligning frames -as important frames that shape how scientists curate data for public sharing. Our analysis provides a deeper understanding of the nuances of managing scientific data for public access. Our main contribution is the articulation of an evolving and long-term view of how workers approach their tasks in getting data ready for long-term public use. Collapse

Topics: data management Python data governance datafication strategic management

Methods: survey qualitative interview personal interview field study theoretical contribution

Capabilities and metrics in DevOps: A design science study

2023 | Information & Management | Citations: 0

Authors: Amaro, Ricardo; Pereira, Rúben; Da Silva, Miguel Mira

Abstract: Customer demands, competition, regulatory environments, and sophisticated extern ... Expand

Abstract: Customer demands, competition, regulatory environments, and sophisticated external threats have all increased the importance of DevOps in IT organizations. However, DevOps adoption is still uneven, emphasizing the need to provide management with relevant IS data and insights. Regrettably, there is a measurement inefficiency between these capabilities. Collapse

Topics: devops database system Google+ spreadsheet source code

Methods: qualitative interview personal interview literature study design science design artifact