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 Use of Big Data-Driven Systems on Decision-Makers’ Power

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Abouei, Mahdi; Ansari, Kimia; Ghasemaghaei, Maryam

Abstract: Modern organizations are adopting Big Data-Driven (BDD) systems to obtain and s ... Expand

Abstract: Modern organizations are adopting Big Data-Driven (BDD) systems to obtain and sustain their competitive advantage through improved decisions. However, the changes in the organizational decision structure and processes due to the establishment of these systems raised the question of how becoming data-driven will affect the traditional role of human decision-makers in organizations. Specifically, this research-in-progress study investigates the mechanisms through which the use of BDD systems impacts organizational decisionmakers' power. To address this research question, the study draws on the premises of the strategic contingencies theory of intra-organizational power and the literature on BDD decision-making in organizations and develops a theoretical model to be tested empirically. Ultimately, the potential contributions to theory and practice are also discussed. KeywordsBig data-driven systems, decision-making, strategic contingencies theory of intra-organizational power. Collapse

Topics: decision making IS impact business process management

Methods: survey theory development cross sectional survey structural equation modeling cross sectional research

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

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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

Input control and its signalling effects for complementors' intention to join digital platforms

2023 | Information Systems Journal | Citations: 2

Authors: Adam, Martin; Croitor, Evgheni; Werner, Dominick; Benlian, Alexander; Wiener, Martin

Abstract: Existing information systems (IS) research on platform control has largely focus ... Expand

Abstract: Existing information systems (IS) research on platform control has largely focused on examining how input control (i.e., the mechanisms used to control platform access) affects complementors' intentions and behaviours after their decision to join a digital platform. Yet, our understanding of how input control is perceived before this decision and how such perceptions influence prospective complementors' intention to join a platform is still nascent. In this regard, our study views input control as a salient signal that shapes prospective complementors' expected benefits and costs (i.e., their performance and effort expectancy), and ultimately their decision to join a digital platform. Drawing on signalling theory and the antecedent-benefit-cost (ABC) framework, we conducted a randomized online experiment in the context of donation-based crowdfunding. The experiment results offer empirical support for this view by showing that input control has distinct and complex signalling effects for prospective complementors. In particular, our findings reveal curvilinear and competing signalling effects, with perceived input control increasing both performance expectancy (at a decreasing rate) and effort expectancy (at an increasing rate). Also, we find that performance expectancy linearly increases prospective complementors' intention to join a platform, whereas effort expectancy linearly decreases their intention to do so. These findings imply that the overall relationship between perceived input control and intention to join follows an inverted U-shape curve, which means that neither a low nor a high, but a moderate degree of perceived input control maximizes prospective complementors' intention to join. In sum, the results of our study provide novel and important insights into the signalling role that perceived input control plays in shaping prospective complementors' decision to join a digital platform. Collapse

Topics: digital platform crowdsourcing crowdfunding behavioral intention digital ecosystem

Methods: experiment mediation analysis survey survey design theory development

Theories: signaling theory

Gamified monetary reward designs: Offering certain versus chance-based rewards

2023 | Information Systems Journal | Citations: 0

Authors: Adam, Martin; Reinelt, Annika; Roethke, Konstantin

Abstract: To motivate visitors to engage with websites, e-tailers widely employ monetary r ... Expand

Abstract: To motivate visitors to engage with websites, e-tailers widely employ monetary rewards (e.g., vouchers, discounts) in their website designs. With advances in user interface technologies, many e-tailers have started to offer gamified monetary reward designs (MRDs), which require visitors to earn the monetary reward by playing a game, rather than simply claiming the reward. However, little is known about whether and why gamified MRDs engage visitors compared to their non-gamified counterpart. Even less is known about the effectiveness of gamified MRDs when providing certain or chance-based rewards, in that visitors do or do not know what reward they will gain for successfully performing in the game. Drawing on cognitive evaluation theory, we investigate gamified MRDs with certain or chance-based rewards and contrast them to non-gamified MRDs with certain rewards in user registration systems. Our results from a multi-method approach encompassing the complementary features of a randomised field experiment (N = 651) and a randomised online experiment (N = 330) demonstrate differential effects of the three investigated MRDs on user registration. Visitors encountering either type of gamified MRD are more likely to register than those encountering a non-gamified MRD. Moreover, gamified MRDs with chance-based rewards have the highest likelihood of user registrations. We also show that MRDs have distinct indirect effects on user registration via anticipated experiences of competence and sensation. Overall, the paper offers theoretical insights and practical guidance on how and why gamified MRDs are effective for e-tailers. Collapse

Topics: website electronic mail electronic commerce gamification website design

Methods: experiment randomized field experiment survey experimental task mixed method

Theories: cognitive evaluation theory self determination theory

Online Labor Platforms and the Role of Job Security and Compensation (Mis)Fits for Gig Workers

2023 | International Conference on Information Systems | Citations: 1

Authors: Adam, Martin; Wiener, Martin; Benlian, Alexander

Abstract: Online labor platforms (OLPs) use algorithms to manage their workers. Prior res ... Expand

Abstract: Online labor platforms (OLPs) use algorithms to manage their workers. Prior research has examined how OLP management shapes workers' attitudes, implicitly assuming that workers have the same preferences. However, research has largely neglected the role of (mis)fits between what workers need and what they receive from OLPs. Therefore, we conducted a survey with 121 Mechanical Turk workers and used polynomial regression analysis of workers' actual needs and perceived OLP supplies. Our results suggest that higher job security fit decreases perceived exploitation and increases system satisfaction, whereas higher compensation fit decreases perceived exploitation. In addition, we find that job security misfit has decreasing marginal effects on perceived exploitation and increasing marginal effects on system satisfaction. Overall, we contribute to a more nuanced understanding of workers' reactions to the design of OLPs by shedding light on the interplay between what gig workers need and what they perceive to receive from such platforms. Collapse

Topics: IS satisfaction platform worker algorithmic management digital platform ride sharing platform

Methods: survey regression analysis method cross sectional research polynomial regression theoretical contribution

Remote Workers’ Privacy Concerns, Psychological Climate for Face Time, and Organizational Affective Commitment

2023 | HICSS | Citations: 0

Authors: Afota, Marie-Colombe; Cañibano, Almudena; Ollier-Malaterre, Ariane; Provost Savard, Yanick; Léon, Emmanuelle

Abstract: During the Covid-19 pandemic, the shift to high-intensity remote work—three days ... Expand

Abstract: During the Covid-19 pandemic, the shift to high-intensity remote work—three days or more a week—accelerated the digitalization of work processes on platforms such as Slack or Teams and the blurring of boundaries between work and personal life through videoconferencing and the use of personal devices for work. This paper explores the relationships between high-intensity remote workers’ information and communication technologies (ICT) privacy concerns, psychological climate for face time, and organizational affective commitment. Building on organizational support and social information processing theories, we argue that ICT privacy concerns and perceptions that an organization values physical presence in-office may undermine commitment to the organization. Based on a two-wave study of 1065 remote workers in a large multinational bank, we find that ICT privacy concerns and psychological climate for face time reinforce one another and are negatively associated with subsequent affective organizational commitment. Collapse

Topics: information privacy concern organizational commitment remote work IT supported collaboration privacy

Methods: statistical hypothesis test chi squared test longitudinal research SEM tool structural equation modeling

Theories: social information processing theory

Differential Impact of Content in Online Communication on Heterogeneous Candidates: A Field Study in Technical Recruitment

2023 | Information Systems Research | Citations: 0

Authors: Aggarwal, Rohit; Lee, Michael J.; Midha, Vishal

Abstract: Recruitment is a critical activity for companies, and the research community has ... Expand

Abstract: Recruitment is a critical activity for companies, and the research community has also shown significant interest in examining technology recruitment. Companies often communicate how they value their employees along with job requirements to potential candidates in a bid to attract them. However, there is an overall lack of understanding of how candidates react to such information and how their motivation toward the job changes with such online communication. Although there is substantial work that examines the decision-making process of managers who do technical hiring, to the best of our knowledge, there is a paucity of work that investigates the decision-making process of technical candidates. The broad research question studied is how including certain content in online communication about a technical job opportunity may (de)motivate heterogeneous candidates differently in applying for the job. We theorize the underlying process of how including certain content in online job communication may influence candidates’ propensity to apply and their minimum acceptable salary increase if they were to join the company. Additionally, we capture mediating variables that influence the effect of different online content on candidates’ propensity to apply and on candidates’ minimum acceptable salary increase. By testing actual job application behavior in a field study, we confirmed the content that can attract high performers while discouraging low performers from applying.History: Yong Tan, Senior Editor; Yan Huang, Associate Editor.Supplemental Material: The online appendices are available at https://doi.org/10.1287/isre.2022.1120. Collapse

Topics: social media electronic mail IS economics economic surplus IT workforce

Methods: experimental group survey field study factor analysis descriptive statistic

Theories: motivation theory

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

Shaping the attitude towards information security- a social influence approach

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Agrawal, Deepti; Davis, Joshua; Singh, Kulraj

Abstract: Employees play a vital role in organizational information security posture. Mos ... Expand

Abstract: Employees play a vital role in organizational information security posture. Most security breaches involve human elements such as stolen credentials, phishing scams, misuse, or simple errors from employees. As the threat landscape continues to put pressure on this aspect of organizational information security, there is an increasing need to effectively motivate employees towards desirable security attitudes and outcomes. Social influence has been found to help shape employees' information security attitudes. However, there is limited understanding of the roles different motivational processes can play in this context -which may have differential effect of employee attitudes towards security. In this study we use Kelman's social influence theory which proposes that an individual's attitudes are influenced by referent others through three processes -compliance, identification, and internalization. The study aims to provide valuable insights for researchers and practitioners alike. Collapse

Topics: social influence data security organizational value

Methods: survey conceptual modelling partial least squares path modeling PLS tool

Theories: social influence theory