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

Design Theory for Societal Digital Transformation: The Case of Digital Global Health

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

Authors: Braa, Jørn; Sahay, Sundeep; Monteiro, Eric

Abstract: With societal challenges, including but not limited to human development, equit ... Expand

Abstract: With societal challenges, including but not limited to human development, equity, social justice, and climate change, societal-level digital transformation (SDT) is of imminent relevance and theoretical interest. While building on local-level efforts, societal-level transformation is a nonlinear extension of the local level. Unfortunately, academic discourse on digital transformation has largely left SDT unaccounted for. Drawing on more than 25 years of intensive, interventionist research engagement with the digital transformation of public healthcare information management and delivery in more than 80 countries in the Global South, we contribute to theorizing SDT in the form of a design theory consisting of six interconnected design principles. These design principles articulate the interplay and tensions of accommodating over time increased diversity and flexibility in digital solutions, while simultaneously connecting local, national, and regional/ global efforts. inception in three townships in post-apartheid South Africa, different versions and configurations of the DHIS have been adopted by more than 80 countriesincluding all but two African countries south of the Sahara, Norway, and other "developed" countriesthrough the efforts of universities, ministries of health, international organizations, funding, and various other agencies. Its ambition highlights the concerns of equity, inclusiveness, and ideology-that is, making design "that matters" (Bødker & Kyng, 2018) for society.According to Markus and Rowe (2021), the study of SDT to date remains underresearched (cf. also Vial, 2019), despite its tremendous significance in the different facets of social life globally. This mirrors the general critique that Jørn Braa is a professor at the University of Oslo, Norway, where he has spent much of his professional career initiating, cultivating, and promoting interventionist research on and around the DHIS2/ HISP efforts. He is the "father" of the project. His work has been published in outlets including the MIS Quarterly, The Information Society, Information Technology for Development, and in books.Sundeep Sahay is a professor at the University of Oslo, Norway and for the last couple of decades has been engaged in the DHIS2/ HISP project, with a main focus on Asia in general and India in particular. His work has been published in outlets including MIS Quarterly, Information and Organization, Information Systems Research, and in books.Eric Monteiro is a professor at the Norwegian University of Science and Technology and an adjunct professor at the University of Oslo. He has a long-term, low-intensity engagement with DHIS2/ HISP spanning more than two decades. His work has been published in outlets including MIS Quarterly, European Journal of Information Systems, Journal of the Association for Information Systems, and a recent book. Collapse

Topics: public good digital transformation digital innovation information management health information system

Methods: design theory synthesis theory development theoretical contribution longitudinal research

All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning

2023 | Decision Support Systems | Citations: 0

Authors: Mikalef, Patrick; Sharma, Kshitij; Chatterjee, Sheshadri; Chaudhuri, Ranjan; Parida, Vinit; Gupta, Shivam

Abstract: Understanding what information is important for consumers when making a purchase ... Expand

Abstract: Understanding what information is important for consumers when making a purchase-related decision has been a key question for researchers and practitioners ever since the advent of empirical research in commerce. Nevertheless, our knowledge of what information is important has been formed primarily through post-purchase conscious capturing approaches, such as surveys and questionnaires. To overcome these limitations, we ground this research on an exploratory study that captures eye-tracking data during a decision-making task of product selection. Grounded on the dynamic attention theory, we utilize different information types and formats present on a popular social commerce platform, to identify elements which are important when deciding about online product purchase decision. Specifically, we employ a series of prediction algorithms and use an ensemble learning setup to predict the aspects that contribute to product selection by consumers. Our analysis highlights the most important informational cues to accurately predict product selection among alternatives. In addition, the results showcase how such elements shift in importance during the temporal sequence of comparing different product alternatives. Our results provide insight into how we can understand the journey of decision-making for social commerce customers when navigating through information to select a product. In addition, it opens the discussion about the shifts that eye-tracking in combination with machine learning can create for researchers and marketers. Collapse

Topics: decision making social commerce website user requirement web page

Methods: oculometry computational algorithm ensemble learning machine learning eye tracking tool

Theories: cognitive attention theory

Achieving digital transformation in the public sector through targeted insourcing

2023 | European Conference On Information Systems | Citations: 0

Authors: Thunes, Johanne; Kempton, Alexander

Abstract: Digital transformation in the public sector involves leveraging digital technol ... Expand

Abstract: Digital transformation in the public sector involves leveraging digital technology to perform a profound change in both the services offered by public sector organizations and the activities and structures that provide them. Practitioners and researchers alike have called for this kind of transformation to meet citizens' changing needs and expectations. However, there is a lack of knowledge on how to operationalize and achieve digital transformations in the sector, given its institutional and organizational complexity. In this paper, therefore, we present a case study of the establishment of a cross-domain digital transformation unit in a Scandinavian municipality. We conceptualize the approach to digital transformation carried out in this unit as targeted insourcing. We contribute to Information Systems literature on public sector digital transformation through our conceptualization and discuss its implications. Collapse

Topics: digital transformation insourcing organization structure outsourcing systems development

Methods: case study qualitative interview single case study theory development qualitative content analysis

Principles to Facilitate Social Inclusion for Design-Oriented Research

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

Authors: Wass, Sofie; Thygesen, Elin; Purao, Sandeep

Abstract: We develop principles that facilitate socially inclusive design-oriented resear ... Expand

Abstract: We develop principles that facilitate socially inclusive design-oriented research with marginalized groups. Building on the recognition that the research process must be informed by theoretical perspectives about social inclusion, our effort begins with an empirical investigation of a multiyear research project that designed several IT-based solutions for people with intellectual and developmental disabilities. We treat the efforts to design each solution as a "case," capture primary data from multiple sources, and analyze it in light of three facets of social inclusion drawn from prior work: self-determination, belongingness, and social capital. The findings are interpreted to derive five principles for a socially inclusive design-oriented research process: (1) respecting multiperspective problem ownership and integrated solution design, (2) surfacing emic contributions to guide artifact design, (3) leveraging the support network to shape artifact design and refine research conduct, (4) customizing design-evaluate cycles with inclusive practices, and (5) pursuing authenticity in research collaborations. We elaborate each principle with connections to different facets of social inclusion, guidelines suggested by our empirical investigation, and a mapping against contemporary design-oriented research approaches. The five principles suggest key directions to facilitate a socially inclusive design-oriented research process when working with marginalized groups. The paper concludes with a discussion of implications for IS scholars, and pointers for using design-oriented approaches for greater social inclusion of marginalized populations. Collapse

Topics: social capital participatory design IT career intrinsic motivation anonymity

Methods: design science qualitative interview field study design artifact action design research

Theories: theory of abduction

Becoming agile together: Customer influence on agile adoption within commissioned software teams

2022 | Information & Management | Citations: 0

Authors: Ciriello, Dr. Raffaele Fabio; Glud, Jeppe Aagaard; Hansen-Schwartz, Kevin Helge

Abstract: Despite the ongoing expansion of agile practices beyond software firms, agile ad ... Expand

Abstract: Despite the ongoing expansion of agile practices beyond software firms, agile adoption remains risky, chal­ lenging, and poorly understood. Although agile practices emphasize self-organization and customer collabora­ tion, we know little about how customers influence agile adoption within self-organizing teams. Here, we analyze how a commissioned software team engaged in customer collaboration during agile adoption at a Danish IT service provider. Our case study shows that the software team’s transition to self-organized teamwork practices, agile planning routines, and active customer engagement was mutually dependent on the customer’s trust in the software team and flexible collaborative routines. As a result, we advance a theoretical perspective of customer influence on agile adoption within commissioned software teams, implying that both software teams and customers need to navigate a contradictory tension between self-organization and collaboration to become agile together. Collapse

Topics: agile software development enterprise resource planning Scrum pseudonymity information systems strategy

Methods: qualitative interview case study theory development qualitative coding design methodology

Theories: ambidexterity theory

Educating about Responsible AI in IS: Designing a course based on Experiential Learning

2022 | International Conference on Information Systems | Citations: 3

Authors: Grøder, Charlotte; Schmager, Stefan; Parmiggiani, Elena; Vasilakopoulou, Polyxeni; Pappas, Ilias; Papavlasopoulou, Sofia

Abstract: Responsible AI (RAI) is an emerging topic in the Information Systems (IS) liter ... Expand

Abstract: Responsible AI (RAI) is an emerging topic in the Information Systems (IS) literature. RAI entails ensuring ethical, transparent, and accountable use of AI technologies in line with societal values, expectations, and norms. The challenge for research on IS education at university level is to accompany the growing research on RAI with approaches to educate students about this emerging theme. Research on IS education on responsible AI remains scarce to date, however. We ask: How can we design a course to educate students about responsible AI? We build on earlier research and an experiential learning-based approach to propose a course design promoting students' multidisciplinary, problembased learning about RAI applied to the case of public welfare services. Our study is based on participatory observations of student groups and group interviews after a project, acting as an arena where the students could reflect on the learning process and evolving awareness of RAI. Collapse

Topics: artificial intelligence responsible artificial intelligence business process design online learning system IT career

Methods: qualitative interview group interview design artifact participant observation action research

How Information Contributed After an Idea Shapes New High-Quality Ideas in Online Ideation Contests

2022 | Management Information Systems Quarterly | Citations: 0

Authors: Lindberg, Aron; Majchrzak, Ann; Malhotra, Arvind

Abstract: Findings on how prior high-quality ideas affect the quality of subsequent ideas ... Expand

Abstract: Findings on how prior high-quality ideas affect the quality of subsequent ideas in online ideation contests have been mixed. Some studies find that high-quality ideas lead to subsequent high-quality ideas, while others find the opposite. Based on computationally intensive exploratory research, utilizing theory on blending of mental spaces, we suggest that the effects of prior ideas on the generation of subsequent ideas depend on the alignment of (1) crowd participants’ subjective quality assessments of prior ideas and (2) subsequent problemrelated contributions made by the crowd. When a prior idea is assessed as high-quality, this motivates the crowd to emulate that idea. When this motivation is aligned with subsequent contributions that expand the mental space of the prior idea, a new high-quality idea can be created. In contrast, when a prior idea is assessed as low-quality, it motivates the crowd to redirect away from that idea. When this motivation is aligned with subsequent contributions that shift the mental space of the prior idea, a new high-quality idea can be created. The mixed findings in the literature can then be explained by a failure to consider non-idea information contributions made by the crowd. Collapse

Topics: wiki open source electronic brainstorming 3D printing production management

Methods: theory development Markov chain Markov chain Monte Carlo digital trace data qualitative coding

Making sense of continuous development of digital infrastructures

2022 | Journal of Information Technology | Citations: 7

Authors: Osmundsen, Karen; Bygstad, Bendik

Abstract: Continuous development extends the agile approach and focuses on bringing valuab ... Expand

Abstract: Continuous development extends the agile approach and focuses on bringing valuable services to users with the aim of achieving a continuous flow of learning and development in short cycles. The objective of this work is to theorize the idea of continuous development in the context of digital infrastructure evolution and explore the organizational interactions underlying continuous development. By drawing on literature on digital infrastructure theory and continuous development as it has emerged as an idea from the DevOps thinking expanded from agile, we outline main characteristics of continuous development and propose a theoretical definition of continuous development in organizational contexts. Then, in answering our research question “which patterns of interactions can be identified in the continuous development of digital infrastructures?”, we conducted a longitudinal case study at a Norwegian grid company and explored how a specific digital infrastructure evolved through continuous development. We identified generic interaction patterns with two cycles of sense-giving and sense-making between organizational actors, enabling the continuous development of the digital infrastructure. Our findings and model of interaction patterns offer a nuanced perspective on both digital infrastructure evolution and established views of sense-making and sense-giving mechanisms, as well as new ways to think about digitalization in incumbent firms. Collapse

Topics: information technology infrastructure sensemaking organizational context devops systems development

Methods: theory development qualitative interview design methodology longitudinal research archival research

A machine learning approach to identifying decision-making styles for managing customer relationships

2022 | Electronic Markets | Citations: 0

Authors: Tudoran, Ana Alina

Abstract: Decision-making styles have been studied in non-situational settings using the c ... Expand

Abstract: Decision-making styles have been studied in non-situational settings using the classical survey instrument. This study proposes a novel methodology for identifying decision-making styles in a real-world purchasing situation using only behavioral data and machine learning. We base our analysis on a two-week sample of 1,347,854 clickstream sessions from an e-commerce company and extract a series of parameters to infer the search goal, strategy, and decision difficulty. We implement a range of unsupervised algorithms, and we identify and validate three internally stable classes of decision-makers. One category corresponds to the classical style of satisficers; the other two subcategorize the maximisers' classical style. The customer’s entry channel preferences and movement patterns provide compelling support for the style's predictive validity. This study contributes to research and practice by proposing a new methodology to recognize the customer decision style in the e-commerce setting. Collapse

Topics: decision making information storage and retrieval system electronic commerce tablet mobile system

Methods: cluster analysis digital trace data computational algorithm machine learning unsupervised learning

Theories: theory of bounded rationality