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

What is Missing from Research on Data in Information Systems? Insights from the Inaugural Workshop on Data Research

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

Authors: Aaltonen, Aleksi; Alaimo, Cristina; Parmiggiani, Elena; Stelmaszak, Marta; Jarvenpaa, Sirkka; Kallinikos, Jannis; Monteiro, Eric

Abstract: Data are the building blocks of the ongoing digital revolution, yet there are s ... Expand

Abstract: Data are the building blocks of the ongoing digital revolution, yet there are still many unresolved questions regarding their role in the study of information systems (IS), management, and innovation. As data become increasingly pervasive elements of socio-economic life, we ask whether IS needs to expand the ways in which it conceptualizes data and their role in business and society. This panel report summarizes discussions that took place in the inaugural workshop on data research. The workshop asked what is missing from research on data in IS from four well-known scholars whose work touches upon the topic in different ways. Three main themes emerged from the speakers' statements that were further discussed by the workshop participants: 1) the need to go beyond traditional ways of conceiving data, 2) the need to investigate the relationship between data and meaning, and 3) the need to study new data management and governance approaches. We present these research themes and connect them with future research directions. Collapse

Topics: innovation management data management value creation digital innovation information technology infrastructure

DataOps as a Prerequisite for the Next Level of Self-Service Analytics – Balancing User Agency and Central Control

2023 | International Conference on Business Informatics | Citations: 0

Authors: Baars, Henning

Abstract: The area of Business Intelligence and Analytics (BIA) has repeatedly oscillated ... Expand

Abstract: The area of Business Intelligence and Analytics (BIA) has repeatedly oscillated between more central, efficiency-oriented, professionalized approaches and decentral, agility-oriented, user-driven ones. This paper investigates whether and how to alleviate that tradeoff by combining an agility-oriented self-service analytics approach with the professionalization-driven DataOps concept: DataOps aims at transferring ideas from DevOps to the realm of analytics, namely a mutual integration of Development and Operations and a high degree of professionalization and automation. A case study with a series of interviews and a workshop led to insights into the viability of such a combination. These inspire a theoretical concept for capturing the economics behind the approaches that is considering the (opportunity) costs of the components "user agency" and "central control". The concept has been evaluated with representatives from the case study. Based on the results, I argue that the discussed combination can push BIA solutions towards fine-tuned federated environments. Collapse

Topics: devops artificial intelligence mlops data management data integration

Methods: qualitative interview case study literature study machine learning survey

Managing Customer Data in Data-driven Service Innovation: A Framework of Data Principles

2023 | International Conference on Business Informatics | Citations: 0

Authors: Blöcher, Katharina; Reinhold, Olaf; Alt, Rainer

Abstract: While customer data has been collected in enterprise systems since decades, the ... Expand

Abstract: While customer data has been collected in enterprise systems since decades, the emerging consumer technologies create new sources of data. Although the need to co-create services with customers has been recognized, a systematic approach of how to include this sensitive source of innovation in the service innovation process is still lacking. This research explores the potential of data governance practices for data-driven service innovation. Data principles for the governance of customer data are collected and assessed by practioners in order to provide conceptual support for organizations and to facilitate the service innovation process. The results of this research integrate data principles of different research streams and offer a framework of data principles that can be applied in the design and management of data-driven services. Collapse

Topics: innovation management business process innovation data governance database system data management

Methods: qualitative interview personal interview archival research theoretical contribution synthesis

Theories: dominant logic

Facilitating interorganizational trust in strategic alliances by leveraging blockchain-based systems: Case studies of two eastern banks

2023 | International Journal of Information Management | Citations: 0

Authors: Chen, Renee Rui; Chen, Kun; Ou, Carol X.J.

Abstract: Strategic alliances require mutual trust and collaboration between organizations ... Expand

Abstract: Strategic alliances require mutual trust and collaboration between organizations. To increase alliance perfor­ mance, organizations in a strategic alliance are more likely to interpret each other’s equivocal behaviors in a positive way to sustain the stability of the relationship. Different from traditional mechanisms to build inter­ organizational trust, blockchain facilitates trust among alliance partners via its technology advantages, for example, public ledger and distributed consensus. The decentralized and distributed nature of a blockchainbased system assures that no single organization can add information to the chain without an approval from the alliance, nor can it make unilateral changes in the system. Drawing from the Affordance Theory, we propose an exploratory research design to understand the structure of a blockchain-based system, as well as how this blockchain-based system influences interorganizational trust in a strategic alliance and how blockchain-enabled interorganizational trust influences alliance performance. The case studies of two eastern banks indicate that the technical features of blockchain can help reduce equivocal behaviors and improve interorganizational trust. We discuss the findings and conclude the paper with implications. Collapse

Topics: blockchain affordance user experience usability smart contract

Methods: qualitative interview case study design artifact conceptual modelling computational algorithm

Theories: theory of affordance

Future directions for scholarship on data governance, digital innovation, and grand challenges

2023 | Information and Organization | Citations: 0

Authors: Davidson, Elizabeth; Wessel, Lauri; Winter, Jenifer Sunrise; Winter, Susan

Abstract: This introduction to the special issue on Data Governance, Digital Innovation, a ... Expand

Abstract: This introduction to the special issue on Data Governance, Digital Innovation, and Grand Chal­ lenges highlights the importance of data governance when seeking to address grand challenges through the innovative use of digital technologies. The benefits, risks, and consequences of data, ubiquitous in today’s data-rich world, can be harnessed for innovation and societal good. How­ ever, there are no guarantees that (only) desirable outcomes will develop. The creation and exploitation of vast data stockpiles raise substantial concerns about privacy, data security, equity, and the potential for harm from data misuse. Meaningful approaches to data governance within and across organizations are critically important to facilitate digital innovation and to balance social, economic and technical benefits and risks for individuals, organizations, and societies. In this introductory paper, we reflect on foundations established to date in information systems (IS) research and highlight possible future directions for scholarship on data governance across multiple levels to enhance digital innovations for transformation and societal good. Collapse

Topics: data governance digital innovation innovation management IS economics economic surplus

Methods: archival research

Theories: socio technical theory theory of economic development

What Motivates First-generation College Students to Consider an IT Career? An Integrative Perspective

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

Authors: Deng, Xuefei (Nancy); Zaza, Sam; Armstrong, Deborah

Abstract: A career in information technology (IT) presents a viable source of economic ad ... Expand

Abstract: A career in information technology (IT) presents a viable source of economic advancement for college graduates, yet ethnic minority students remain underrepresented in the IT workforce. Such underrepresentation is often exacerbated by their first-generation student (FGS) status. It, however, remains unclear what causes the discrepancy between FGSs and their counterparts in terms of their choice to enter into an IT career. To address this gap, this study aims to reveal the factors motivating FGSs to consider an IT career and examines the association of influencing factors with personal and demographic factors (gender, race, ethnicity). This qualitative research overlays capital theory and social cognitive career theory to develop an integrated sensitizing framework and draws on individual difference theory in interpreting the findings. Our analysis of the open-ended narrative responses of 193 surveys collected from a minority-serving university revealed 10 key factors influencing IT career choice. A theoretical model incorporating individual differences, generational status, and environmental influences is proposed to advance the discussion of influencing factors in IT career choice toward further theory building and empirical testing. The paper concludes with implications for motivating the IT career choice of the ethnic minority, first-generation student population. established career theory, premises various forms of capital as enablers of career decisions (Bourdieu, 1986), and has been previously applied in the information systems (IS) literature (e.g., Joshi et al., 2016). This qualitative positivist case study research develops an analytical generalization (Galli, 2011) regarding the IT career choices of ethnic minority college students. This approach is appropriate for identifying the applicability of key constructs for this population as we investigate their IT career choices. This paper proceeds as follows: We describe the context of our investigation in Section 2 and then review research on IT careers, social cognitive career theory, and capital theory, and their use in the IT context in Section 3. In Section 4, we present our research method and illustrate the data analysis procedures, and in Section 5, we detail the results regarding the motivating factors. In Section 6, we discuss the themes that emerge in ethnic minority college students' IT career choice motivations and propose a variance model based on prior research and our empirical findings. We discuss the study's contributions to theory and practice in Section 7, followed by the study's limitations and future research directions in Section 8. Collapse

Topics: IT career self efficacy IT workforce social capital individual characteristic

Methods: case study survey qualitative interview qualitative coding theory development

Theories: individual differences theory of gender difference theory

Embarking on the Digital Transformation Journey Toward a Data-Driven Organization: Empirical Insights Into Transformation Starting Points

2023 | European Conference On Information Systems | Citations: 0

Authors: Fischer, Hannes; Wiener, Martin; Strahringer, Susanne

Abstract: Organizations are increasingly initiating and expanding their digital transform ... Expand

Abstract: Organizations are increasingly initiating and expanding their digital transformation initiatives to become more data-driven. Given that such digital transformations are highly complex and idiosyncratic endeavors, organizations striving to become a data-driven organization (DDO) have many options on where to start. To better understand such transformation starting points, we analyzed 13 companies of various industries and sizes currently undertaking DDO transformations. On this empirical basis, we find that top managers embark on transformation journeys by either focusing on the transformation foundations (asset-driven, workforce-driven), or on the outcome (exploitative use case-driven, explorative use case-driven), with each starting point showing different DDO dimensions being addressed first. Our data suggest that the selection of a specific starting point is mainly based on managers' understandings of a DDO and the motivation to become such an organization. Finally, our work points to advantages and disadvantages of the respective starting points. Contributions and practical implications are discussed. Collapse

Topics: digital transformation organizational transformation decision making database system data management

Methods: field study case study qualitative interview maturity model triangulation

Application of Fourth Industrial Revolution Technologies in Healthcare

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Gama, Nkosinathi; Adebesin, Funmi

Abstract: The aim of this systematic literature review (SLR) is to explore how Fourth Ind ... Expand

Abstract: The aim of this systematic literature review (SLR) is to explore how Fourth Industrial Revolution (4IR) digital technologies are transforming the healthcare sector. Peer-reviewed, full-text research papers published between January 2016 and April 2021, which focused on data-driven healthcare, health data management systems, and the disruptive role of digital technologies in healthcare were retrieved from three electronic databases, namely PubMed Central, Institute of Electrical and Electronics Engineers (IEEE) and MEDLINE. Articles included in the SLR were identified and selected using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guideline. Three main themes were identified from 84 research papers included in the SLR, namely, (i) digital technologies driving the transformation of healthcare, (ii) the impact of digital transformation on healthcare, and (iii) areas of transformation in healthcare. The results showed that technological innovations can mitigate the impact of unequal distribution of healthcare services, reduce healthcare costs, improve the quality of care, and the quality of life for patients and healthcare professionals. Collapse

Topics: database system electronic health mobile system industry 4.0 production management

Methods: literature sample qualitative content analysis mixed method structured literature research descriptive statistic

The Design of Citizen-Centric Green IS in Sustainable Smart Districts

2023 | Business & Information Systems Engineering | Citations: 0

Authors: Graf-Drasch, Valerie; Keller, Robert; Meindl, Oliver; Röhrich, Felix

Abstract: Green information systems are often praised for their potential to foster sustai ... Expand

Abstract: Green information systems are often praised for their potential to foster sustainability in citizens’ daily lives and meet their needs. With this focus on citizens, districts that use smart technologies provide a litmus test, the results of which will indicate how to design smart green information systems that better meet the needs and desires of citizens. To date, however, guidelines on how to design such green information systems in urban areas or actively involve citizens in this process are few and far between. In recognition and remedy of this shortage, the study draws on the design science research paradigm to develop seven design principles for citizen-centric green information systems that can be used in sustainable smart districts. These principles are evaluated in 15 semi-structured interviews and a prototype of a mobile district app for a citizen-centric green information system is instantiated. By taking this citizen-centric perspective, the paper fosters the active involvement of humans in the design of sustainable urban environments. Collapse

Topics: solid-state drive mobile application green IS virtualization technology big data

Methods: design artifact qualitative interview design theory design science personal interview