A taxonomy of data governance decision domains in data marketplaces

2023 | Electronic Markets | Citations: 0

Authors: Abraham, Rene; Schneider, Johannes; vom Brocke, Jan

Abstract: Commercializing data and data-related services has gained in importance in recen ... Expand

Abstract: Commercializing data and data-related services has gained in importance in recent years. Driven by digitalization and the Internet-of-Things (IoT), companies and individuals continuously generate vast amounts of data. Data marketplaces have emerged to support these data providers in selling their data to different data consumers. However, data marketplaces face challenges in different data governance decision domains that inhibit their adoption. To get a better understanding of how data marketplaces counteract these challenges, this paper develops a taxonomy of data governance decision domains in data marketplaces. We used a taxonomy development method to inspect 13 data marketplaces from eight countries. The resulting taxonomy shows an overview of mechanisms concerning data quality, data security, data architecture, metadata, data lifecycle, data storage, and data pricing. We discuss common instantiation patterns, highlight gaps, and propose possible solutions. The taxonomy sets a foundation for further research and theory-building on data marketplaces. Practitioners can use the taxonomy to develop customized data governance strategies for data marketplaces. Collapse

Topics: data governance price management system development method computer data storage website

Methods: design artifact data modeling design methodology design science company material

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

An Information Security Performance Measurement Tool for Senior Managers: Balanced Scorecard Integration for Security Governance and Control Frameworks

2023 | Information Systems Frontiers | Citations: 0

Authors: Herath, Tejaswini C.; Herath, Hemantha S. B.; Cullum, David

Abstract: As organizations have become increasingly reliant on information systems, senior ... Expand

Abstract: As organizations have become increasingly reliant on information systems, senior managers are keen in assessing the progress of implemented information security strategies. Although the balanced scorecard approach has been suggested for security governance, a critical issue affecting information security practitioners is complexity, as there are many standards and frameworks, with duplication and overlaps to adhere to when organizing the data. Consequently, the article attempts to develop a more inclusive framework for information security governance, a research gap recently identified in the literature. The article maps five governance and control frameworks (COBIT, SABSA, ISG, ITIL, and ISO 27000) to the information security balanced scorecard (InfoSec BSC) to develop a conceptual design of an effective information security performance measurement tool that can be used by senior managers. Using a real-life case application and interviews with a panel of experts, the article identifies IS initiatives, performance measures for each of the mapped objectives derived from governance and control frameworks that may provide guidance for practitioners. Collapse

Topics: data security COBIT IT security ITIL information security management

Methods: qualitative interview case study personal interview survey delphi study

Theories: theory of everything

How to design platform ecosystems by intrapreneurs: Implications from action design research on IoT-based platform

2023 | Electronic Markets | Citations: 0

Authors: Inoue, Yuki; Takenaka, Takeshi; Kasasaku, Takami; Tamegai, Tadafumi; Arai, Ryohei

Abstract: The recent technological evolution of the Internet of Things (IoT) and data scie ... Expand

Abstract: The recent technological evolution of the Internet of Things (IoT) and data sciences has created opportunities for intrapreneurs in non-platform firms to expand their businesses into platform ecosystem-related businesses. However, previous studies have typically focused on cases involving entrepreneurs. This study aims to clarify how intrapreneurs’ design for platform ecosystems could be different from that of entrepreneurs. We conducted an action design research (ADR) project in collaboration with a company for 29 months, and designed a platform ecosystem structure based on technological platforms related to radio frequency identifiers (RFID). Our main contribution is the following six-step process that describes how intrapreneurs design platform ecosystems: (1) designing an initial ecosystem structure based on platform ecosystem concepts and certain concepts related to the targeted market; (2) analyzing past business cases; (3) making the ecosystem structure into concrete shape; (4) verifying its validity; (5) elaborating the ecosystem structure; and (6) proposing the designed ecosystem business. Our findings highlight the differences between intrapreneurs’ and entrepreneurs’ designs of the ecosystem. First, when the design processes are underway, the direction of the design of the ecosystem needs to be flexibly modified to align with the strategy of the firm. Second, evidence for the success of the proposed platform ecosystem is required to reduce uncertainty and clarify the legitimacy of the proposition. Third, the structure of a platform ecosystem designed by intrapreneurs becomes a style that supports the existing businesses and networks of the firm. Collapse

Topics: digital ecosystem radio frequency identification digital service logistics management price management

Methods: survey simulation data transformation design process action design research

Responsible Artificial Intelligence in Healthcare: Predicting and Preventing Insurance Claim Denials for Economic and Social Wellbeing

2023 | Information Systems Frontiers | Citations: 1

Authors: Johnson, Marina; Albizri, Abdullah; Harfouche, Antoine

Abstract: It is estimated that one out of seven health insurance claims is rejected in the ... Expand

Abstract: It is estimated that one out of seven health insurance claims is rejected in the US; hospitals across the country lose approximately $262 billion annually due to denied claims. This widespread problem causes huge cash-flow issues and overburdens patients. Thus, preventing claim denials before claims are submitted to insurers improves profitability, accelerates the revenue cycle, and supports patients’ wellbeing. This study utilizes Design Science Research (DSR) paradigm and develops a Responsible Artificial Intelligence (RAI) solution helping hospital administrators identify potentially denied claims. Guided by five principles, this framework utilizes six AI algorithms – classified as white-box and glass-box – and employs cross-validation to tune hyperparameters and determine the best model. The results show that a white-box algorithm (AdaBoost) model yields an AUC rate of 0.83, outperforming all other models. This research’s primary implications are to (1) help providers reduce operational costs and increase the efficiency of insurance claim processes (2) help patients focus on their recovery instead of dealing with appealing claims. Collapse

Topics: artificial intelligence ADA missing data partial dependence plot responsible artificial intelligence

Methods: machine learning computational algorithm experiment support vector machine design artifact

Extending the Affective Technology Acceptance Model to Human-Robot Interactions: A Multi-Method Perspective

2023 | HICSS | Citations: 0

Authors: Jessup, S.; Willis, S.; Alarcon, G.

Abstract: The current study sought to extend the Affective Technology Acceptance (ATA) mo ... Expand

Abstract: The current study sought to extend the Affective Technology Acceptance (ATA) model to human-robot interactions. We tested the direct relationship between affect and technology acceptance of a security robot. Affect was measured using a multi-method approach, which included a self-report survey, as well as sentiment analysis, and response length of written responses. Results revealed that participants who experienced positive affect were more likely to accept technology. However, the significance and direction of the relationship between negative affect and technology acceptance was measurement dependent. Additionally, positive and negative sentiment words accounted for unique variance in technology acceptance, after controlling for self-reported affect. This study demonstrates that affect is an important contributing factor in human-robot interaction research, and using a multi-method approach allows for a richer, more complete understanding of how human feelings influence robot acceptance. Collapse

Topics: technology adoption robotic perceived ease of use perceived usefulness mobile phone

Methods: sentiment analysis self reported survey mixed method survey regression analysis method

Personalization-Privacy Paradox in Using Mobile Health Services

2023 | European Conference On Information Systems | Citations: 0

Authors: Klossner, Sara; Ghanbari, Hadi; Rossi, Matti; Sarv, Lill

Abstract: The rapid growth of the population and the increase in life expectancy put inte ... Expand

Abstract: The rapid growth of the population and the increase in life expectancy put intense pressure on the healthcare systems worldwide. Mobile health applications (m-health apps) can help ease the situation by offering highly personalized services that empower individuals to take better care of their health. To reach their full potential, m-health apps must continuously gather personal health data from users, which leads to privacy concerns. We study the influence of users' privacy concerns on their intention to disclose personal health data to m-health apps. Using an online survey and conducting SEM-PLS, we show that a personalization-privacy paradox is present in the context of m-health apps. While respondents claim to have privacy concerns about using m-health apps, their concerns do not negatively affect their self-disclosure intentions nor their intention to continue using the apps. Our results show that the magnitude of personalization-privacy paradox is influenced by demographic factors. Collapse

Topics: information privacy concern mobile health mobile application usability personalization

Methods: survey partial least squares path modeling SEM tool survey design partial least squares regression

Overcoming the Data Transparency Trade-Off: Designing a Blockchain-Based Delivery Invoice System for the Construction Industry

2023 | International Conference on Business Informatics | Citations: 0

Authors: Lautenschlager, Jonathan; Stramm, Jan; Guggenberger, Tobias; Rösch, Artur; Schweizer, Andrè

Abstract: Blockchain's inherent characteristics render it a promising solution in collabo ... Expand

Abstract: Blockchain's inherent characteristics render it a promising solution in collaborative supply chain networks. However, the technology still faces challenges in coopetition, as sharing business data on blockchains requires balancing the benefits of data transparency for process automation with concerns about exposing business information to competitors. This paper draws on design science research to iteratively design and develop a decentralized infrastructure that can address the coopetition aspects of digital delivery invoices in construction supply chains. As a result, design objectives and design principles are derived while experts thoroughly evaluate the prototype. Practical guidance for implementing digital delivery invoices is provided to enable coopetitive while secure data exchange. Our findings suggest that if construction companies want to prioritize network effects despite the growing complexity, they should establish channels and private data collections along with additional privacy-enhancing technologies to ensure secure data exchange across the entire supply chain. Collapse

Topics: blockchain supply chain management privacy application programming interface usability

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

Touching Space: Distributed Ledger Technology for Tracking and Tracing Certificates

2023 | HICSS | Citations: 1

Authors: Moriggl, Pascal; Asprion, Petra; Schneider, Bettina; Scherb, Christopher

Abstract: Components built into space vehicles and equipment (space products) must meet di ... Expand

Abstract: Components built into space vehicles and equipment (space products) must meet different regulatory requirements; in detail, each component must be certified and sustainably traceable at all times. Space engineers have expressed the need for an interoperable system to collect, manage and route certifications for components, parts and materials that go into space products. The lack of a unified approach in the European space industry is a challenge for companies involved in product development. This research proposes an open-source, secure, fast and distributed ledger technology (DLT) based solution that fits into any IT environment and is well adapted to the needs of manufacturing companies in the space sector. The results show that a blockchain-based solution based on 'Hyperledger Fabric' combined with the InterPlanetary File System is viable. The results can guide other researchers and practitioners to consider DLTs when changing their certification management paradigm with suppliers, customers and auditors. Collapse

Topics: blockchain JavaScript authorization business process management graphical user interface

Methods: design artifact literature study qualitative interview

A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis

2023 | Information Systems Frontiers | Citations: 0

Authors: Tutun, Salih; Harfouche, Antoine; Albizri, Abdullah; Johnson, Marina E.; He, Haiyue

Abstract: Thousands of people die while waiting for organ transplants due to a significant ... Expand

Abstract: Thousands of people die while waiting for organ transplants due to a significant gap between demand and supply. This gap often leads to illegal activities and ethical issues such as illicit organ trade and auctions. Therefore, to increase the organ supply and procure more organs, organizations must understand the causes of families who refuse to consent to donate their loved one's organs. Furthermore, such organizations must better identify those families most likely to consent to organ donation. We propose a responsible AI framework that integrates network science and artificial intelligence to identify consent outcomes for organ donation. The proposed framework includes three phases: (1) collecting and pre-processing data, (2) creating new features and identifying root causes of family refusal, and (3) training and testing models to predict the probability of families granting consent for organ donation. The designed artifact included collaborative decisions and network measures, increasing explainability through network science. It integrated human reviews and assessment of risks which increases correct and interpretable predictions. Results can help encourage organ donations and reduce the illegal organ trade. The experimental results show that the designed artifact outperformed previous studies identifying factors affecting consent outcomes. This framework integrates network science and artificial intelligence to reduce maleficence, solve the lack of transparency (i.e., increase trustworthiness) and improve accountability of the model that aims to predict consent outcomes. Collapse

Topics: responsible artificial intelligence artificial intelligence explainable artificial intelligence procurement management authorization

Methods: machine learning computational algorithm support vector machine experiment classification method

Theories: justice theory