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

THE IMPACT OF ONLINE ADVERTISMENT PERSONALIZATION AND TRANSPARENCY ON INDIVIDUAL DEFENSIVE RESPONSES AND ENGAGMENT

2023 | European Conference On Information Systems | Citations: 0

Authors: Al Helaly, Yasser; Dhillon, Gurpreet; Oliviera, Tiago

Abstract: This study identifies the different individual defensive responses that are tri ... Expand

Abstract: This study identifies the different individual defensive responses that are triggered by ad personalization. We investigate how these responses impact user engagement behavior on social media. The study also examines the role of transparency in advertising and the perceived benefits of personalization on user engagement in Europe. To conduct our study, we are theoretically grounded in the defensive response model. A multi-step quantitative approach constituting two experiments and a survey is used. With 154 and 199 participants each, the experiments allowed us to define the theoretical model. The experiment identified paradoxical findings. We indent surveying online ads-users to examine the impact of personalization on individual defensive responses and the role transparency plays in predicting user engagement. Our research contributes to the theory by identifying defensive responses that explain the engagement behavior, and the impact of transparency on personalized advertising. Collapse

Topics: personalization usability Facebook social media privacy

Methods: experiment survey Student's t-test statistical hypothesis test parametric test

Social media platforms and social enterprise: Bibliometric analysis and systematic review

2023 | International Journal of Information Management | Citations: 0

Authors: Ali, Imran; Balta, Maria; Papadopoulos, Thanos

Abstract: A considerable number of contributions at the intersection of social media platf ... Expand

Abstract: A considerable number of contributions at the intersection of social media platforms and social entrepreneurship has been witnessed over the past decade. The multi-disciplinary nature of current literature necessitates inte­ grative insights on the topic. We thus undertake a two-pronged approach – bibliometric analysis followed by systematic review – to map the extant literature in a structured, objective, and quantitative way. We contribute to the literature as we (i) offer a classification of the literature in three clusters, namely ‘social media platforms, social collaboration and social marketing’, ‘social media platforms and crowdfunding, and ‘social media plat­ forms and crowdsourcing’; (ii) analyze recent research development in each cluster, methodological develop­ ment, countries co-authorship and evolution of research in the area; and (iii) propose a conceptual framework -accompanied by research propositions- that provides an overview of the literature at the intersection of social media platforms, various social entrepreneurial practices and their influence on the social enterprise perfor­ mance. Our review culminates with numerous impactful research avenues for scholarly progression in the area. From a practical standpoint, this review integrates scattered findings into one body, allowing the practitioners and policymakers to discern the role of social media platforms in dealing with emerging societal problems and increasing operational efficiencies of social enterprises (SEs). To the best of our knowledge, this is the first review of its kind, offering unique perspectives at the nexus of social media platforms and SE’s performance. Collapse

Topics: social media crowdsourcing marketing management crowdfunding digital platform

Methods: literature sample bibliometric analysis literature study structured literature research co-citation analysis

Theories: structuration theory dynamic capabilities 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

Between Handholding and Hand-held Devices: Marketing Through Smartphone Innovation and Women’s Entrepreneurship in Post Conflict Economies in Times of Crisis

2023 | Information Systems Frontiers | Citations: 0

Authors: Ameen, Nisreen; Madichie, Nnamdi O.; Anand, Amitabh

Abstract: There is a wide gender gap in developing countries due to a range of cultural, e ... Expand

Abstract: There is a wide gender gap in developing countries due to a range of cultural, economic and political barriers. This is even more accentuated in post conflict economies in times of crisis. Smartphones and mobile applications can help to narrow this gap. The economic and non-economic challenges facing women entrepreneurs and the role of smartphone innovation in overcoming these challenges and developing strong marketing strategies were investigated. We drew on the 5 M model to investigate how mobile applications can support women entrepreneurs. We conducted thirty interviews with women entrepreneurs in Iraq. The findings show that mobile applications provided these entrepreneurs with innovative ways to overcome many of the challenges they face in relation to running a business. The research provides theoretical contributions by developing an integrated, multilevel analytical model on women in entrepreneurship based on extending the 5 M model with new technology-related elements. Practical, policy and managerial implications are discussed. Collapse

Topics: smartphone mobile system mobile application entrepreneurship marketing management

Methods: qualitative interview theoretical contribution personal interview synthesis mathematical model

Theories: theory of economic development

Sustainable IS Use: What IS Needed to REDUSE

2023 | International Conference on Information Systems | Citations: 0

Authors: Andraschko, Lars; Wunderlich, Philipp; Sarker, Saonee; Veit, Daniel

Abstract: Facing ever-looming climate change, studying the drivers for individuals ' Info ... Expand

Abstract: Facing ever-looming climate change, studying the drivers for individuals ' Information Systems (IS) Use to reduce environmental harm gains momentum. While extant research on the antecedents of sustainable IS Use has focused on specific theories, interventions, contexts, and technologies, a holistic understanding has become increasingly elusive, with a synthesis remaining absent. We employ a systematic literature review methodology to shed light on the driving antecedents for sustainable IS Use among individual consumers. Our results build on findings of 29 empirical studies drawn from 598 articles retrieved from our premier outlets and a forward/backward search. The analysis reveals six salient complementary antecedents: Relief, Empowerment, Default, User-centricity, Salience, and Encouragement. We recommend considering these concepts when developing, deploying, promoting, or regulating digital technologies to mitigate individual consumers' emissions. Along with memorable and implementable concepts, our theoretical framework offers a novel conceptualization and four promising avenues for researchers on sustainable IS Use. Collapse

Topics: information system use green IS electronic commerce individual characteristic willingness to pay

Methods: structured literature research synthesis theory development laboratory experiment field experiment

Theories: extended unified theory of acceptance and use of technology information systems theory unified theory of acceptance and use of technology

Does Analytics Help Resolve Equivocality in the Healthcare Context? Contrasting the Effects of Analyzability and Differentiation

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

Authors: Adjerid, Idris; Angst, Corey; Devaraj, Sarv; Berente, Nicholas

Abstract: Organizations are increasingly using data analytics to help make decisions and ... Expand

Abstract: Organizations are increasingly using data analytics to help make decisions and drive positive outcomes. But organizational scholarship has warned us that the sort of information processing associated with analytic capabilities, while effective for uncertainty reduction, may be less effective in equivocal contexts. Equivocality is evident when tasks are not easily analyzable (task analyzability) or when organizational departments are highly differentiated (differentiation). We hypothesize that analytics will be less effective in driving positive outcomes when equivocality is high because of low task analyzability. However, when an organization is more differentiated, resulting in high equivocality, we anticipate that analytics will be more effective in driving positive outcomes. To test this theory, we studied how clinical healthcare analytics influenced experiential quality (akin to patient satisfaction) in over 3,000 hospitals across nine years. Our results show that analytics capabilities, on average, do improve outcomes in terms of patient experiential quality, suggesting that analytics can reduce uncertainty, but we also found evidence for the moderating role of equivocality. Specifically, as task analyzability decreases (i.e., increasing equivocality), clinical healthcare analytics becomes less effective in improving experiential quality. However, when equivocality is high because of differentiation, there is a positive relationship between clinical healthcare analytics and experiential quality but only in larger hospitals. From a managerial perspective, this study has implications for boundary conditions of data analytics in organizations. Collapse

Topics: healthcare analytics technology adoption electronic health record health information system artificial intelligence

Methods: theory development post-hoc analysis experimental group longitudinal research machine learning

Theories: organizational information processing theory

Managing In-Company IT Standardization: A Design Theory

2023 | Information Systems Frontiers | Citations: 0

Authors: Ahlemann, Frederik; Dittes, Sven; Fillbrunn, Tim; Rehring, Kevin; Reining, Stefan; Urbach, Nils

Abstract: Today’s companies rely heavily on in-company information technology standards (I ... Expand

Abstract: Today’s companies rely heavily on in-company information technology standards (ICITS) to reduce costs, ensure flexibility, and facilitate the planning, implementation, and operation of IT systems. Steering and managing ICITS has proven to be challenging, revealing the need for efficient governance mechanisms. But even though prior research demonstrates the challenges of ICITS, viable advice on how to implement ICITS is scarce. In this paper, we develop an organizational design theory for the management of ICITS based on the framework of organizational control theory. We conducted a critical case study to identify basic goals, constitutive elements, and fundamental mechanisms of a working ICITS management. The resulting design goals and principles were then evaluated and further refined in the light of additional expert interviews. With our work, we wish to extend the body of theoretical knowledge on the management of ICITS and help practitioners master the various challenges occurring in this domain. Collapse

Topics: information systems standardization enterprise architecture IS maturity organizational control decision making

Methods: design theory qualitative interview design principle descriptive statistic case study

Theories: organizational control theory

Investigating the Use of Augmented Reality and Machine Learning in Electrical Engineering Courses

2023 | International Conference on Business Informatics | Citations: 0

Authors: Al Mehdawi, Miles; Dreesbach, Tobias; Gösling, Henning; Brinkmann, Marcel

Abstract: The use of augmented reality (AR) in education and training is growing increasi ... Expand

Abstract: The use of augmented reality (AR) in education and training is growing increasingly. However, applications to integrate augmented reality learning content into training for basic electrical engineering courses are scarce. The individual learning objectives of trainees complicate the digitalization of learning content, particularly for the drawing of circuit diagrams. To increase trainees' learning outcome while simultaneously relieving instructors of classroom supervision, we designed and developed an AR-based prototype, to enhance hand-drawn circuit diagrams in vocational training. The context sensitivity is achieved by combining AR with image recognition. In an experiment with twelve participants, a positive impact of the prototype on trainees' learning outcomes was observed, in comparison to a control group that received instructions without the prototype. Collapse

Topics: augmented reality smart device artificial intelligence smart glass extended reality

Methods: design artifact experimental group qualitative interview survey parametric test

CO-CREATING VALUE FROM ELECTRIC VEHICLE DIGITAL SERVICES: EFFECT OF PERCEIVED ENVIRONMENTAL PERFORMANCE ON PERSONAL DATA SHARING

2023 | European Conference On Information Systems | Citations: 0

Authors: Alotaibi, Awatif; Barros, Alistair; Degirmenci, Kenan

Abstract: Electric vehicles (EVs) are considered a product rather than a mobility service ... Expand

Abstract: Electric vehicles (EVs) are considered a product rather than a mobility service. The expansion of EV services requires large amounts of personal information. Due to privacy concerns, EV users may deactivate these services, leading to the discontinuance of EV services and value destruction. Service dominant logic is improving insights into the roles of resources (e.g., personal data) and institutions (e.g., concerns) in influencing individual behaviours in value co-creation (e.g., disclosing personal data). This logic is a metaperspective that needs to be integrated with mid-range theories (e.g., the enhanced antecedents-privacy concerns-outcomes) to investigate how resources, institutions and value co-creation are integrated and how to quantify this integration. This study conducted an online survey of EV users. The findings show that privacy awareness, environmental concerns and privacy concerns influence privacy calculus. However, perceived environmental performance has a stronger impact than privacy risks on intentions to continue disclosing personal data for EV services. Collapse

Topics: privacy information privacy concern participatory design environmental sustainability decision making

Methods: survey archival research survey design design methodology partial least squares path modeling

Theories: privacy calculus theory service-dominant logic