How Does AI-Work Interaction Affect Individuals Behavior? The Role of Appraisals

2023 | Americas Conference on Information Systems | Citations: 0

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

Abstract: Artificial intelligence (AI) has become a trend in capturing valuable insights ... Expand

Abstract: Artificial intelligence (AI) has become a trend in capturing valuable insights in organizations that were not achievable previously. Despite the anticipated benefits of implementing AI, the outcomes reveal contradictions. This study elaborates on the role of new AI-work interaction (in terms of augmentation and automation) in such seemingly incongruent results using the transactional theory of stress. Specifically, we propose that depending on individuals' perceived expertise, they may perceive such a new interaction either as inspirational or impeding. Therefore, if individuals appraise new AI-work interactions as possibly harmful and find that they do not have enough expertise to cope efficiently, they will likely withdraw and resist AI use. However, if they appraise the situation as potentially positive and find themselves highly capable of efficiently dealing with it, they will try to increase the effort to meet environmental demands and not resist the use of AI. Collapse

Topics: artificial intelligence organizational change

Methods: survey statistical power analysis survey design experimental task experiment

Enhancing Trust, Efficiency, and Empowerment in Sports: Developing a Blockchain-Based Fan Token Framework

2023 | European Conference On Information Systems | Citations: 0

Authors: Ante, Lennart; Schellinger, Benjamin; Wazinski, Friedrich-Philipp

Abstract: Blockchain-based fan tokens provide token holders with certain rights, incentiv ... Expand

Abstract: Blockchain-based fan tokens provide token holders with certain rights, incentivizing fan engagement and decision-making within sports organizations. Despite the recent surge in interest, acceptance and technical advancement, a profound understanding of the technical, functional, and conceptual foundations of fan tokens is still lacking, necessitating further research and practical insights. Drawing on customer and fan engagement theory and utilizing a single case study approach, we analyzed the market-leading platform Socios for the issuance and operation of fan tokens. Our analysis yields a generic blockchain-based fan token framework that includes the constructs: 1) Trust and efficiency layer, 2) utility and 3) financialization features. The latter two constructs promote fan token holder empowerment. In addition, we extend the current definition of fan tokens to the context of blockchain. Our findings indicate that fan tokens are still in a nascent stage, requiring continued research and development. Collapse

Topics: blockchain tokenomics website web application mobile application

Methods: case study single case study survey cluster analysis multidimensional modeling

Theories: job engagement theory

What is Missing from Research on Data in Information Systems? Insights from the Inaugural Workshop on Data Research

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

Authors: Aaltonen, Aleksi; Alaimo, Cristina; Parmiggiani, Elena; Stelmaszak, Marta; Jarvenpaa, Sirkka; Kallinikos, Jannis; Monteiro, Eric

Abstract: Data are the building blocks of the ongoing digital revolution, yet there are s ... Expand

Abstract: Data are the building blocks of the ongoing digital revolution, yet there are still many unresolved questions regarding their role in the study of information systems (IS), management, and innovation. As data become increasingly pervasive elements of socio-economic life, we ask whether IS needs to expand the ways in which it conceptualizes data and their role in business and society. This panel report summarizes discussions that took place in the inaugural workshop on data research. The workshop asked what is missing from research on data in IS from four well-known scholars whose work touches upon the topic in different ways. Three main themes emerged from the speakers' statements that were further discussed by the workshop participants: 1) the need to go beyond traditional ways of conceiving data, 2) the need to investigate the relationship between data and meaning, and 3) the need to study new data management and governance approaches. We present these research themes and connect them with future research directions. Collapse

Topics: innovation management data management value creation digital innovation information technology infrastructure

Toward Business Models for a Meta-Platform: Exploring Value Creation in the Case of Data Marketplaces

2023 | HICSS | Citations: 0

Authors: Abbas, Antragama Ewa; Ofe, Hosea; Zuiderwijk, Anneke; De Reuver, Mark

Abstract: Investigating meta-platforms has been a continuing concern within information sy ... Expand

Abstract: Investigating meta-platforms has been a continuing concern within information system literature due to the increasingly complex constellations of platforms in ecologies of ecosystems. A meta-platform is a platform built on top of two or more platforms, hence connecting their respective ecosystems. One promising case to benefit from meta-platforms is data marketplaces: a particular type of platform that facilitates responsible (personal and non-personal) data sharing among companies. Given that business models for meta-platforms are largely unexplored in this emerging case, how they can create value for data marketplaces remain speculative. As a starting point toward business model investigations, this paper explores value creation of a meta-platform in the case of data marketplaces. We interviewed fourteen data-sharing consultants and six meta-platform experts. We identify three potential value creation archetypes of a meta-platform. The discovery aggregator archetype emphasizes searching and dispatching value, while the brokerage one focuses on promoting and supporting value. Finally, the one-stop-shop archetype creates value by standardizing, regulating, sharing, and experimenting. This study is among the first that explore value creation archetypes for a meta-platform, thus identifying core value as a base for further business model investigations. Collapse

Topics: value creation business model digital platform information technology infrastructure decision making

Methods: qualitative interview theory development personal interview longitudinal research

Investigating Users' Continuous Adoption of Cryptocurrency

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Abooleet, Saeed; Fang, Xiaowen

Abstract: ... Expand

Abstract: Collapse

Topics: cryptocurrency asset specificity Bitcoin decision making social media

Methods: statistical hypothesis test structural equation modeling survey partial least squares path modeling

Theories: transaction cost economics

Citizens’ Support for AI Security Surveillance Systems: A Social Exchange Perspective

2023 | International Conference on Information Systems | Citations: 0

Authors: Abouei, Mahdi; Yuan, Yufei

Abstract: Artificial intelligence (AI) has tremendously transformed the patterns of secur ... Expand

Abstract: Artificial intelligence (AI) has tremendously transformed the patterns of security surveillance employed by governments. Although the primary goal of security surveillance is to maintain social order and enhance citizens' protection, significant privacy concerns were raised for citizens given the unprecedented amount of personal data accessed by various types of AI-powered security surveillance (AISS) systems, such as facial recognition technologies. Nonetheless, policymakers and academia rarely paid attention to the citizens' views as the main stakeholders of these systems. Motivated by this, in this study, we develop a theoretical model drawing on the assertions of the Social Exchange Theory (SET) to explain the factors and mechanisms that influence citizens' support for AISS. In particular, we elaborate on the role of privacy-security tradeoff, trust, and power and their interplay in explaining citizens' supportive attitudes. Potential contributions from this research to theory and practice are also outlined. Collapse

Topics: privacy artificial intelligence information privacy concern

Methods: theory development survey partial least squares path modeling PLS tool cross sectional research

Theories: social exchange theory

The Threatening Effect of Invoked Help from Highly Competent Intelligent Agents

2023 | International Conference on Information Systems | Citations: 0

Authors: Adam, Martin; Diebel, Christopher; Goutier, Marc

Abstract: Empowered with artificial intelligence, intelligent agents (IAs) increasingly o ... Expand

Abstract: Empowered with artificial intelligence, intelligent agents (IAs) increasingly offer help not only in response to user prompts (i.e., user-invoked help) but also without user prompts (i.e., IA-invoked help). Additionally, IAs are becoming more competent and even surpassing users in performing many computational and repetitive tasks. Drawing on self-affirmation theory, we investigate users' acceptance of IA-versus user-invoked help for identity-defining tasks from IAs with different levels of relative competence. We conducted an experiment with 199 software developers and found that IA-invoked (vs. user-invoked) help increases self-threat and thus reduces users' willingness to accept help from IAs. Moreover, relative competence moderates this effect, in that only IAs having relatively higher (vs. lower or equal) competence cause self-threat. Our study contributes to a better understanding of the self-threatening effects of IA-invoked (vs. user-invoked) help from IAs and the related role of relative competence that crucially shapes effective user-IA collaborations. Collapse

Topics: software developer user acceptance accounting artificial intelligence systems development

Methods: experiment business process modeling experimental task survey linear regression analysis

Human vs. Automated Sales Agents: How and Why Customer Responses Shift Across Sales Stages

2023 | Information Systems Research | Citations: 0

Authors: Adam, Martin; Roethke, Konstantin; Benlian, Alexander

Abstract: Customers in sales processes increasingly encounter automated sales agents (ASAs ... Expand

Abstract: Customers in sales processes increasingly encounter automated sales agents (ASAs) that complement or replace human sales agents (HSAs). Yet, little is known about whether, how, and why customers respond to ASAs in contrast to HSAs across successive decision stages of the same sales process. Even less is known about customer responses to HSA-ASA combinations, where both agents assume distinct roles and focus on complementary tasks that are traditionally performed by only one single sales agent. Against this backdrop, this paper explores the influence of increasingly common sales representative (rep) types (i.e., ASA, HSA, and HSA-ASA) on customer decisions across sales stages. Drawing on information processing theory and the literature on hedonic-utilitarian decision making, we investigate customer responses to text-based ASAs from vendor companies in two common early stages of email sales processes (i.e., sales initiation stages) when customers successively decide whether to indicate their initial interest in an offer and then, whether to provide their contact information. Specifically, we conducted two complementary multi-decision experiments, namely (1) a randomized field experiment in a high-stakes sales initiation setting (n = 325) and (2) a subsequent randomized online experiment to complement the real-world insights (n = 408). Our core findings reveal reversing effect patterns of sales rep types across stages: although customers are more likely to indicate their initial interest to HSAs (versus ASAs) because of HSAs’ higher levels of social presence, they are less likely to provide contact information to HSAs because of HSAs’ lower levels of performance expectancy and effort expectancy. We also show that HSA-ASA combinations can be reasonable options for single ASAs, yet contextual features of the sales setting may affect differential customer responses to HSA-ASA combinations (versus ASAs) in each sales stage. Taken together, we uncover shifting effect patterns in customer responses to sales rep types across successive sales stages and shed light on the consecutive underlying mechanisms that explain these shifts. These findings have significant implications for vendor companies seeking to allocate HSAs and/or ASAs effectively across various decision stages in sales processes and beyond. History: Wonseok Oh, Senior Editor and Khim Yong Goh; Associate Editor. Funding: This work was supported by the Center for Responsible Digitality (ZEVEDI) and the German Research Foundation (DFG) [Grant 471168026]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1171. Collapse

Topics: electronic mail social presence decision making recommender system information system use

Methods: experiment randomized field experiment regression analysis method experimental task field experiment

Theories: information processing theory

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

Digital Transformation of Public Sector Manual Procurement and Socioeconomic Development: A Developing Country Case Study

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Agbeko, Michael; Effah, John; Boateng, Richard

Abstract: Digital transformation in the public sector offers opportunities for developing ... Expand

Abstract: Digital transformation in the public sector offers opportunities for developing countries to address socioeconomic development challenges related to citizen wellbeing. While countries in the developed world digitally transform their public sector procurement for socioeconomic development, many in the developing world are yet to do so. Existing information systems research on digital procurement in developing countries has focused more on adoption, strategy, and design. Little is known about how manual procurement practices are digitally transformed in the public sector of developing countries for socioeconomic development. This study employs interpretive case study as a methodology and activity theory as analytical lens to investigate how manual procurement activities in the public sector get digitally transformed and its effect on socioeconomic development in a developing country context. The findings have implications for research, practice, and policy.The developed procurement platform (GHANEPS) has two parts. These modules allow the performance of various procurement activities on the system. The PDW on the other hand is the database that stores information on all procurement activities and is supposed to be connected to external ERP systems, other data repositories, and business intelligence systems. The project manager observed in one of the training sessions that Our inability to successfully train and bring on board all public sector institutions is as a result of the COVID-19 emergence and other challenges in the public sector. This has delayed the training sessions. This means that the government effort to enhance the country's socioeconomic development within the medium term is going to be affected. Collapse

Topics: procurement management digital transformation digital platform Python structured query language

Methods: qualitative interview case study field study

Theories: activity theory