Seizing the Potential of Algorithms: The Power of Personalized Persuasive Messages on the Use of Algorithmic Advice

2023 | International Conference on Business Informatics | Citations: 0

Authors: Asbach, Simon; Graf-Vlachy, Lorenz; Fügener, Andreas

Abstract: Recommendations of algorithms are frequently superior to human judgment, but hu ... Expand

Abstract: Recommendations of algorithms are frequently superior to human judgment, but humans often fail to seize the full potential of algorithms. Research has made initial advances to increase the use of algorithmic advice, but achieved levels remain far from optimal. However, research has not yet considered user personality traits to develop interventions to increase the use of algorithms. We propose to communicate the algorithmic advice via a persuasive message that fits the user's regulatory focus, i.e., the tendency towards promotion-versus prevention focus, to create regulatory fit. To test our hypotheses, we conduct an experiment with a forecasting task and 605 participants. Results support a positive effect of a persuasive message on the use of algorithmic advice. Further, results do not support a regulatory fit effect. Our article adds to theory and practice by developing and empirically testing novel interventions to increase the use of algorithms. Next research steps are discussed. Collapse

Topics: personality

Methods: computational algorithm experiment survey statistical hypothesis test statistical power analysis

The Type to Listen to the Machine? The Effect of Personality on the Use of AI Advice

2023 | International Conference on Business Informatics | Citations: 0

Authors: Asbach, Simon; Graf-Vlachy, Lorenz; Fügener, Andreas

Abstract: ... Expand

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Topics: artificial intelligence personality personalization usability

Methods: regression analysis method survey moderation analysis general multivariate regression model

Theories: big five model personality theory

Using machine learning to create and capture value in the business models of small and medium-sized enterprises

2023 | International Journal of Information Management | Citations: 0

Authors: Costa-Climent, Ricardo; Haftor, Darek M.; Staniewski, Marcin W.

Abstract: Start-ups have revolutionised many economic ecosystems, becoming innovation pion ... Expand

Abstract: Start-ups have revolutionised many economic ecosystems, becoming innovation pioneers around the world. Most are based on data-driven business models, particularly relying on machine learning technologies. However, not all start-ups that use machine learning technologies manage to create and capture value. The existing literature on the use value enabled by information technologies does not take into account the unique capabilities of machine learning. The theory of data network effects offers a promising explanation of how to create value using machine learning. However, it does not explicitly describe how to capture value using machine learning. In contrast, business model theory explains how companies use technologies to create and capture value, but not specifically through the use of machine learning technology. Therefore, this study aims to improve the theo­ retical understanding of the key drivers of value creation and capture in start-ups with business models driven by this kind of technology. Statistical techniques are used in a sample of 122 start-ups to explore the theoretical relationships between these two theories. The analysis reveals the link between specific value creation and capture factors of the two theories, such as efficiency, novelty, and performance expectancy. The study also provides evidence of the need to adopt a co-evolutionary perspective of value creation and capture through the use of machine learning. Collapse

Topics: value creation Twitter social media database system website

Methods: descriptive statistic theory development regression analysis method general multivariate regression model linear regression analysis

Factors that Affect Consumer-to-Consumer Sales: An Inductive Predictive Analytics Approach

2023 | Americas Conference on Information Systems | Citations: 0

Authors: El Arabaty, Ashraf; Okoli, Chitu

Abstract: This study investigates factors affecting consumer-to-consumer (C2C) sales perf ... Expand

Abstract: This study investigates factors affecting consumer-to-consumer (C2C) sales performance, specifically in the context of second-hand luxury goods. Using a large dataset of users from a French C2C luxury fashion website, the research identifies factors influencing C2C sales beyond current knowledge. Findings show that the number of followers a seller has, as well as the number of products a seller wishes for and likes, are associated with increased sales. Additionally, the study uncovers unexpected results: sellers listing many products also buy many products, and the number of users a seller follows is associated with increased sales. These findings contribute to a better understanding of the unique characteristics of C2C e-commerce. The article provides practical implications for sellers and C2C platforms to improve their sales performance, catering to the dual-role nature of users in C2C transactions. Collapse

Topics: electronic commerce website explainable artificial intelligence social capital

Methods: machine learning linear regression analysis literature study random forest classification decision tree classification

Effective Information Infrastructures for Collaborative Organizing: The Case of Maasai Mara

2023 | Organization Science | Citations: 0

Authors: Håkonsson, Dorthe Døjbak; Larsen, Erik Reimer; Eskildsen, Jacob Kjær

Abstract: This study focuses on how collaborative organizing is achieved in a natural-reso ... Expand

Abstract: This study focuses on how collaborative organizing is achieved in a natural-resource commons, organized as an actor-oriented structure. In a framed field experiment, teams of Maasai livestock owners played a board game related to sustainable usage and preservation of a commons (in this case, grazing areas). We examine team decisions over time and draw inferences about the difference between two information infrastructures: one that enables learning about the ecosystem and one that enables shared situational awareness. We also examine the effectiveness of these information infrastructures in obtaining sustainable usage and preservation of a commons, finding that participants who are subjected to an information infrastructure that enables shared situational awareness are more effective than those subjected to an information infrastructure that only enables learning about the ecosystem. This, we argue, is because shared situational awareness enables members to address their interdependencies related to both task and knowledge interdependence. In other words, without shared situational awareness, they are less efficient at coordinating their actions, despite sharing collaborative values. Based on our findings, we argue that actor-oriented structures should be designed to include information infrastructures that specifically address members’ interdependencies. Funding: This work was financially supported by the Interacting Minds Centre (IMC). Supplemental Material: The e-companion is available at https://doi.org/10.1287/orsc.2022.1642. Collapse

Topics: information technology infrastructure situational awareness collaborative consumption open source online community

Methods: experiment chi squared test field experiment simulation qualitative interview

Theories: loss aversion

How Do Users Feel When They Use Artificial Intelligence for Decision Making? A Framework for Assessing Users’ Perception

2023 | Information Systems Frontiers | Citations: 0

Authors: Kushwaha, Amit Kumar; Pharswan, Ruchika; Kumar, Prashant; Kar, Arpan Kumar

Abstract: Artificial intelligence (AI) transits from merely adopted technology to fueling ... Expand

Abstract: Artificial intelligence (AI) transits from merely adopted technology to fueling everyday decision-making systems from medication to navigation. With this combination of AI in decision-making systems (ADMS), the present study explores how text-based users' data from social media helps organize the users' perspectives of ADMS? To investigate our research questions, we used a framework consisting of three phases, exploratory, confirmatory, and validatory. We applied hierarchy clustering and topic modeling in the exploratory study, hypothesis building, and empirical analysis during the confirmatory study and support vector machine (SVM) in the validatory study. Our findings suggest that users are primarily concerned about the risk involved in using ADMS. Factors like accountability, self-efficacy, knowledge of ADMS individuals' attitudes towards ADMS impact the perception of ADMS among individuals. This study's theoretical and practical implications have great scope as ADMS is still in its elementary stage. Collapse

Topics: artificial intelligence Twitter social media decision making user attitude

Methods: survey support vector machine topic model regression analysis method statistical hypothesis test

So You Want Me to Believe You’re Happy or Angry? How Negotiators Perceive and Respond to Emotion Deception

2023 | Group Decision and Negotiation | Citations: 0

Authors: Ye, Zi; Lelieveld, Gert-Jan; Noordewier, Marret K.; van Dijk, Eric

Abstract: Past work suggests that emotion deception in negotiations – communicating a diff ... Expand

Abstract: Past work suggests that emotion deception in negotiations – communicating a different emotion than experienced – is perceived negatively. We, however, argue that this depends on the type of emotion deception. We compared two emotion deception types – communicating anger while actually being happy, and communicating happiness while being angry – to genuine communications of happiness and anger. In three preregistered experiments (N = 500), participants played the role of employee or supervisor and negotiated with an opponent about salary raises. After their initial offer, participants learned their opponent’s experienced (happiness vs. anger) and communicated emotion (happiness vs. anger). Then, participants made their final demand and reported perceptions of their opponent’s limits and sacrifice. Results showed that participants perceived opponents who communicated genuine anger as having stricter limits and conceded more to them than to opponents using the other emotion communication types. Moreover, opponents who communicated happiness but experienced anger were perceived as making more of a sacrifice than opponents who communicated anger but experienced happiness. In Experiment 3, we also examined effects of emotion deception on non-negotiated outcomes, by assessing the likelihood to hand the opponent a year-end bonus. Participants were most likely to allocate the bonus to opponents that truthfully communicated happiness. Moreover, participants were more likely to allocate the bonus to opponents who communicated happiness but experienced anger than to opponents who communicated anger but experienced happiness. These findings extend social functional accounts of emotion communication, by showing that effects of emotion deception depend on the type of experienced and/or communicated emotions. Collapse

Topics: cloud computing

Methods: experiment mediation analysis post-hoc analysis parametric test ANOVA

Why Do Data Analysts Take IT-Mediated Shortcuts? An Ego-Depletion Perspective

2022 | Journal of Management Information Systems | Citations: 0

Authors: Ghasemaghaei, Maryam; Turel, Ofir

Abstract: We aim to understand why employees take information technology (IT)-mediated sho ... Expand

Abstract: We aim to understand why employees take information technology (IT)-mediated shortcuts, that is, skipping one or several steps for completing tasks quicker by bending the rules. This is a specific and often detrimental form of noncompliant behavior. Adopting an ego-depletion perspective, we posit that IT complexity drives IT-mediated shortcuts by increasing employees' ego-depletion. Extending this view, we use a modified Delphi study and build on self-regulatory and goal setting theories to point to key boundary conditions for these effects. First, in a preliminary study we found that taking IT-mediated shortcuts in our context is, on average, detrimental to employee performance. This highlighted the need to focus on IT-mediated shortcuts. Next, we tested our assertions with three experiments focusing on the use of dashboards with 584 data analysts. The results show that (1) dashboard complexity increases ego depletion, (2) ego depletion fully mediates the impact of dashboard complexity on taking IT-mediated shortcuts, (3) moral integrity moderates the influence of ego depletion on taking IT-mediated shortcuts, and (4) outcome compared to learning goals enhance the impact of ego depletion on IT-mediated shortcuts. In all studies, objectively measured IT-mediated shortcut-taking was negatively associated with objectively measured task performance. Ultimately, the integrated perspective explains whether, how, and under what conditions IT complexity drives IT-mediated shortcuts. Collapse

Topics: digital dashboard task productivity analytical information system information system use accounting

Methods: experiment delphi study survey post-hoc analysis theoretical contribution

Theories: goal setting theory ego depletion theory

To download or not to download? Spatial and temporal neural dynamics across the brain regions when deciding to download an app

2022 | International Journal of Information Management | Citations: 0

Authors: Parmar, Harshit; Tahvildar, Ala; Ghasemi, Ehsan; Jung, Shinyoung; Davis, Fred; Walden, Eric

Abstract: Technology adoption is one of the most important research streams in the field o ... Expand

Abstract: Technology adoption is one of the most important research streams in the field of IS. However, it has largely been studied with endpoint models rather than process models. In this research, we attempt to develop a process model for technology adoption using fMRI (functional Magnetic Resonance Imaging) techniques. fMRI tech­ niques allow us to directly investigate the cognitive process of technology adoption instead of using mental representations such as perceived usefulness and perceived ease of use. We measure the brain activities of 22 students from a major western US university while they are making the decision to download or not download apps using a novel temporal neural correlate analysis. The research finds that the download decision is a complex process that includes the visual regions of the brain, the anterior cingulate cortex, the middle temporal gyrus and many other regions. The practical implication is that there are many points of intervention to influence the download decision. In particular, the visual features of app presentation seem to be a very important consideration. Collapse

Topics: mobile application decision making technology adoption packaged software perceived ease of use

Methods: functional magnetic resonance imaging longitudinal research time series analysis business process modeling magnetic resonance imaging

Theories: Lewin's field theory

Assessing Privacy and Security of Information Systems from Audit Data

2022 | Information Systems Frontiers | Citations: 0

Authors: Westland, J. Christopher

Abstract: We investigated publicly reported security breaches of internal controls in corp ... Expand

Abstract: We investigated publicly reported security breaches of internal controls in corporate information systems to determine whether U.S. Securities and Exchange Commission (SEC) data are information bearing with respect to breaches of security and privacy. The issue has grown in importance as information systems breaches have steadily grown costlier and more frequent. Our analysis supports a high predictability for credit card breaches, portable device related breaches and breaches conducted by firm insiders. Our study also found evidence that employees are subverting particularly strict internal controls by using portable devices that can be carried outside the physical boundaries of the firm. In general, auditing and corporate data filed with the SEC was non-informative with regard to breaches involving unintended disclosures, physical losses, hacking and malware and workplace computers. Scope and fees associated with auditing are significant factors in predicting security breaches, whereas assessments of internal controls effectiveness was shown to be less significant for prediction. Collapse

Topics: Sarbanes–Oxley Act IT security threat credit card fraud privacy IT security

Methods: machine learning random forest classification gradient boosting general multivariate regression model XGBoost