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

Antecedents of Information Adoption of Sharing Mobile Social Commerce Experience: The Mediation Role of Trust

2023 | European Conference On Information Systems | Citations: 0

Authors: Acikgoz, Fulya; Busalim, Abdelsalam; Lynn, Theo

Abstract: ... Expand

Abstract: Collapse

Topics: data quality mobile business mobile application information privacy concern electronic commerce

Methods: survey partial least squares path modeling partial least squares regression theoretical contribution qualitative interview

How Review Quality and Source Credibility Interacts to Affect Review Usefulness: An Expansion of the Elaboration Likelihood Model

2023 | Information Systems Frontiers | Citations: 0

Authors: Aghakhani, Navid; Oh, Onook; Gregg, Dawn; Jain, Hemant

Abstract: This study extends our understanding of what makes an online review useful by ex ... Expand

Abstract: This study extends our understanding of what makes an online review useful by examining the effects of review quality (i.e., as a composite variable of review comprehensiveness and review topic consistency) on review usefulness, and the moderating effects of source credibility on the relationship between review quality and review usefulness. The Elaboration Likelihood Model, convergence theory, and cueing effect literature are used to define the variables of review comprehensiveness and review topic consistency. Analyses of 27,517 restaurant reviews from Yelp show that review topic consistency has a positive effect on review usefulness, but, contrary to our hypothesis, review comprehensiveness has a negative effect on review usefulness. We also found source credibility positively moderates the effect of review comprehensiveness on review usefulness, but negatively moderates the effect of review topic consistency on review usefulness. Theoretical and practical implications are discussed. Collapse

Topics: online review user-generated content Python website data breach

Methods: topic model term frequency–inverse document frequency NLTK statistical hypothesis test robustness check

Theories: elaboration likelihood model

Relating Social Media Diffusion, Education Level and Cybersecurity Protection Mechanisms to E-Participation Initiatives: Insights from a Cross-Country Analysis

2023 | Information Systems Frontiers | Citations: 0

Authors: Ahangama, Supunmali

Abstract: Virtual Social Networks (VSN) act as a catalyst for the success of the active pa ... Expand

Abstract: Virtual Social Networks (VSN) act as a catalyst for the success of the active participation of citizens in information sharing, collaboration, and decision making. VSN based e-participation tools allow many-to-many communication and collaboration near real-time with users who might be in geographically dispersed locations. It provides a platform to voice opinions and perspectives and share them with others in new and innovative ways. Cybersecurity is a key area that needs to be considered for the success and continuous use of e-participation systems as it protects user privacy and helps to avoid scams, harassment, and misinformation. The intervening effect of cybersecurity protection mechanisms and citizens’ education level on the relationship between VSN diffusion and e-participation initiatives is explored in the proposed research model presented in this paper. Moreover, this research model is explored for different stages of e-participation (e-information, e-consultation, and e-decision making) and the five dimensions of cybersecurity (legal, technical, organizational, capacity building, and cooperation). The findings indicate that improved VSN usage has increased e-participation (especially in e-consultation and e-decision making) as a result of improved cybersecurity protection and public education, highlighting the varying importance of different cybersecurity protection measures for three stages of e-participation. Thus, considering the recent problems like platform manipulation, misinformation and data breaches associated with the use of VSN for e-participation, this study emphasizes the importance of regulations, policies, partnerships, technical frameworks, and research to ensure cybersecurity, as well as the importance of education to enable the public to interact productively in e-participation activities. This study is performed using publicly available data from 115 countries and the research model is developed, drawing theoretical basis from the Protection Motivation Theory, Structuration Theory, and Endogenous Growth Theory. This paper recognizes the theoretical and practical implications, and limitations while recommending future research directions. Collapse

Topics: IT security decision making human resource management social network government system

Methods: survey partial least squares path modeling cross sectional research mediation analysis archival research

Theories: protection motivation theory structuration theory

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

Responsible innovation with digital platforms: Cases in India and Canada

2023 | Information Systems Journal | Citations: 6

Authors: Ahuja, Suchit; Chan, Yolande E.; Krishnamurthy, Rashmi

Abstract: Marginalized communities globally encounter grand challenges such as lack of acc ... Expand

Abstract: Marginalized communities globally encounter grand challenges such as lack of access to education, healthcare, and sustained livelihoods. Several initiatives to address these complex, global problems have resulted in fragmented solutions. Recognizing this, there have been several calls for the study of responsible innovation (RI) to address grand challenges. Digital platforms such as AirBnB, Uber and so forth have now become commonplace and are known to generate economic value but also face criticism for being exploitative and exclusive. Only a handful of studies show how similar platforms can innovate responsibly to serve marginalized communities by generating simultaneous economic and social value. To address this gap, our study examines the cases of two platforms that orchestrated ecosystems consisting of individuals from marginalized communities, government agencies, and other entities to provide physical, digital and societal solutions based on principles of RI. We contribute to the RI and IS literatures to show how RI solutions can be fostered through digital platforms to address grand challenges. The article provides empirical evidence of all four dimensions of the RI framework—anticipation, reflexivity, inclusion, and responsiveness - and their operationalization through digital platforms. This research lays the foundation for future studies at the intersection of RI and digital platforms literature. The study also provides practice insights on developing digital platform solutions for marginalized communities to address grand challenges and is useful to policymakers to formulate appropriate interventions. It pushes the theoretical and practice boundaries of our understanding of RI and digital platforms. Collapse

Topics: digital platform mobile application social media innovation management business model

Methods: qualitative interview theory development case study triangulation archival research

Theories: theory of economic development

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

Advancing the Understanding of the Role of Responsible AI in the Continued Use of IoMT in Healthcare

2023 | Information Systems Frontiers | Citations: 1

Authors: Al-Dhaen, Fatema; Hou, Jiachen; Rana, Nripendra P.; Weerakkody, Vishanth

Abstract: This paper examines the continuous intention by healthcare professionals to use ... Expand

Abstract: This paper examines the continuous intention by healthcare professionals to use the Internet of Medical Things (IoMT) in combination with responsible artificial intelligence (AI). Using the theory of Diffusion of Innovation (DOI), a model was developed to determine the continuous intention to use IoMT taking into account the risks and complexity involved in using AI. Data was gathered from 276 healthcare professionals through a survey questionnaire across hospitals in Bahrain. Empirical outcomes reveal nine significant relationships amongst the constructs. The findings show that despite contradictions associated with AI, continuous intention to use behaviour can be predicted during the diffusion of IoMT. This study advances the understanding of the role of responsible AI in the continued use of IoMT in healthcare and extends DOI to address the diffusion of two innovations concurrently. Collapse

Topics: usage intention artificial intelligence responsible artificial intelligence innovation management online learning system

Methods: SEM tool survey descriptive statistic structural equation modeling survey design

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