A Feminist Ethics of Power Perspective on Gender Inequalities in Information Systems Development

2023 | International Conference on Information Systems | Citations: 0

Authors: Durani, Khalid; Hoppe, Fiona; Eckhardt, Andreas

Abstract: With the rise of socio-political movements seeking to improve women's circumsta ... Expand

Abstract: With the rise of socio-political movements seeking to improve women's circumstances in society, research on gender has been continuously growing in Information Systems (IS) research. Despite this growth, critical-ethical perspectives on gender power dynamics are lacking. Therefore, we critically investigate the perceptions of male and female IS developers on gender inequalities using feminist ethics of power. We find that interviewees coincide in the belief that inequalities are improving and that gender is not a limiting factor of competencies. However, men and women deviate regarding perceptions of respect and validation, equality, and the drivers that (re-)produce disparities. Additionally, women exhibit fragmented conceptualizations of inclusion. Through a critical analysis of these findings, we expose ethical dilemmas that arise from these contradictory perceptions of gender inequalities and propose pathways for transforming the prevailing order. Our study contributes by advancing a broader perspective on inequalities through the lens of feminist ethics of power. Collapse

Topics: cloud computing social norm IT skill soft skill IT career

Methods: qualitative interview cross sectional research qualitative content analysis descriptive statistic personal interview

Seeking Information Using Search Engines: The Impact of Negation on Judgments

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

Authors: Kayhan, Varol; Warkentin, Merrill

Abstract: We examine how online searches lead to judgment formation in two contexts where ... Expand

Abstract: We examine how online searches lead to judgment formation in two contexts where statements are negated differently. In one context, a statement (of the form "if P then Q") is negated using "not" (as in "if P then not Q"), while in the other context, it is negated using a different term or phrase (as in "if P then R"). We show that online searches to find information about the validity of this statement generate different results in these contexts. Our findings contribute to extant work on online searches by suggesting that when individuals test the validity of a statement using search engines, their searches lead to categorically different results contingent on the search context. From a practical standpoint, we make recommendations to search engine developers and content providers so online searches generate more inclusive results. Collapse

Topics: search engine Google+ web page decision making accounting

Methods: experiment blood pressure experimental task statistical hypothesis test analysis of covariance

Reidentification Risk in Panel Data: Protecting for k-Anonymity

2023 | Information Systems Research | Citations: 0

Authors: Li, Shaobo; Schneider, Matthew J.; Yu, Yan; Gupta, Sachin

Abstract: We consider the risk of reidentification of panelists in marketing research data ... Expand

Abstract: We consider the risk of reidentification of panelists in marketing research data that are widely used to obtain insights into buyer behavior and to develop marketing strategy. We find that 17%–94% of the panelists in 15 frequently bought consumer goods categories are subject to high risk of reidentification through a potential record linkage attack based on their unique purchasing histories even when their identities are anonymized. We first demonstrate that the risk of reidentification is vastly understated by unicity, the conventional measure. Instead, we propose a new measure of reidentification risk, termed sno-unicity, which accounts for the longitudinal nature of panel data, and show that it is much larger than unicity. To protect the privacy of panelists, we consider the well-known privacy notion of k-anonymity and develop a new approach called graph-based minimum movement k-anonymization (k-MM) that is designed especially for panel data. The proposed k-MM approach can be formulated as an optimization problem in which the objective is to minimally distort variables in the original data based on weights that users prespecify corresponding to their use case. We further show how our approach can be extended to achieve l-diversity. We apply the k-MM approach to two different panel data sets that are widely used in marketing research. To achieve a given privacy level, compared with several benchmark protection methods, the protected data from our method result in the least distortion in inferences about key marketing metrics, such as brand market shares, share of category requirements, brand switching rates, and marketing-mix parameters estimated from a hierarchical Bayesian brand choice model. History: Param Singh, Senior Editor and Associate Editor. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1169. Collapse

Topics: privacy marketing management differential privacy data protection record linkage

Methods: longitudinal research optimization model descriptive statistic simulation cluster analysis

STRATEGIC DATA PRIVACY POSITIONS: AN EXPLORATORY ANALYSIS OF FORBES GLOBAL 2000 COMPANIES

2023 | European Conference On Information Systems | Citations: 0

Authors: Schäfer, Fabian; Patrikis, Eleftherios; Wortmann, Felix

Abstract: Data privacy has become a strategic issue. Companies increasingly rely on perso ... Expand

Abstract: Data privacy has become a strategic issue. Companies increasingly rely on personal data to advance their business models. However, in doing so they must address ever-growing customer concerns, thus necessitating that they go beyond merely complying with regulations. Strategic privacy principles that reflect strategic privacy choices are the fundamental pillars for companies' privacy strategies. Our data set covers strategic privacy principles from 171 Forbes Global 2000 companies that communicate them externally. Our preliminary results show that these companies take six different positions on data privacy. The positions are those of trust builders, data shepherds, data professionals, data caretakers, privacy minimalists and data justifiers. Executives can leverage our insights to actively influence the positioning of their company by defining or adapting its strategic privacy principles. Moreover, our clustering results provide a basis for further analysis of strategic privacy positions, the results of which may have implications for companies' financial performance. Collapse

Topics: privacy website financial performance business model General Data Protection Regulation

Methods: cluster analysis computational algorithm chi squared test descriptive statistic qualitative coding

The Influence of Temporal Focus on Employee Preferences in Cybersecurity Training

2023 | International Conference on Information Systems | Citations: 0

Authors: Shaikh, Faheem Ahmed

Abstract: ... Expand

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Topics: IT security security policy electronic mail password IS education

Methods: descriptive statistic survey experimental group chi squared test theory development

Theories: construal level theory

AI-based Technologies for Conversational Agent Design – Development Tools and Architectures for Intelligent Interactions

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Strohmann, Timo; Khosrawi-Rad, Bijan; Schmidt, Lukas; Hiske, Patrick

Abstract: Conversational agents are becoming increasingly intelligent due to artificial i ... Expand

Abstract: Conversational agents are becoming increasingly intelligent due to artificial intelligence (AI) advances, improving human-machine interaction. As conversational agents are already being used in various realworld applications, research shows the enormous potential of exploring advanced areas such as companionship or learning support. Particularly, those intelligent and future-oriented application areas rely on using AI-based technologies. However, implementations are often prototypical without comprehensive technological information. Moreover, the possibilities for practical implementation of conversational agents are growing, making the choice of architecture and tools for implementation complex. We address this problem by developing a taxonomy that helps characterize AI-based tools and services for intelligent interactions. We then derive archetypes for AI-based tools using cluster analysis and give meta-architectures that exemplify how to integrate AI-based services into typical technical conversational agent architectures. With our research, we aim to expand the knowledge base for developing conversational agents and support developers in their implementation. Collapse

Topics: artificial intelligence usability user interface database system Google+

Methods: cluster analysis sentiment analysis chatbot language model design artifact

A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing

2023 | ACM SIGMIS Database | Citations: 0

Authors: Wanner, Jonas; Wissuchek, Christopher; Welsch, Giacomo; Janiesch, Christian

Abstract: Fueled by increasing data availability and the rise of technological advances fo ... Expand

Abstract: Fueled by increasing data availability and the rise of technological advances for data processing and communication, business analytics is a key driver for smart manufacturing. However, due to the multitude of different local advances as well as its multidisciplinary complexity, both researchers and practitioners struggle to keep track of the progress and acquire new knowledge within the field, as there is a lack of a holistic conceptualization. To address this issue, we performed an extensive structured literature review, yielding 904 relevant hits, to develop a quadripartite taxonomy as well as to derive archetypes of business analytics in smart manufacturing. The taxonomy comprises the following meta-characteristics: application domain, orientation as the objective of the analysis, data origins, and analysis techniques. Collectively, they comprise eight dimensions with a total of 52 distinct characteristics. Using a cluster analysis, we found six archetypes that represent a synthesis of existing knowledge on planning, maintenance (reactive, offline, and online predictive), monitoring, and quality management. A temporal analysis highlights the push beyond predictive approaches and confirms that deep learning already dominates novel applications. Our results constitute an entry point to the field but can also serve as a reference work and a guide with which to assess the adequacy of one's own instruments. Collapse

Topics: production management smart manufacturing analytical information system industry 4.0 database system

Methods: cluster analysis literature study survey literature sample machine learning

Theories: fuzzy set theory

One for all, all for one: Social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland

2022 | International Journal of Information Management | Citations: 5

Authors: Abramova, Olga; Wagner, Amina; Olt, Christian M.; Buxmann, Peter

Abstract: We propose a conceptual model of acceptance of contact tracing apps based on the ... Expand

Abstract: We propose a conceptual model of acceptance of contact tracing apps based on the privacy calculus perspective. Moving beyond the duality of personal benefits and privacy risks, we theorize that users hold social consider­ ations (i.e., social benefits and risks) that underlie their acceptance decisions. To test our propositions, we chose the context of COVID-19 contact tracing apps and conducted a qualitative pre-study and longitudinal quanti­ tative main study with 589 participants from Germany and Switzerland. Our findings confirm the prominence of individual privacy calculus in explaining intention to use and actual behavior. While privacy risks are a sig­ nificant determinant of intention to use, social risks (operationalized as fear of mass surveillance) have a notably stronger impact. Our mediation analysis suggests that social risks represent the underlying mechanism behind the observed negative link between individual privacy risks and contact tracing apps’ acceptance. Furthermore, we find a substantial intention–behavior gap. Collapse

Topics: privacy mobile application usage intention pandemic technology adoption

Methods: survey longitudinal research mixed method conceptual modelling statistical hypothesis test

Theories: privacy calculus theory

Behavioral economics in information systems research: Critical analysis and research strategies

2022 | Journal of Information Technology | Citations: 6

Authors: Arnott, David; Gao, Shijia

Abstract: Theories of decision-making have long been important foundations for information ... Expand

Abstract: Theories of decision-making have long been important foundations for information systems research and much of the information system is concerned with information processing for decision-making. The discipline of behavioral economics provides the dominant contemporary approach for understanding human decision-making. Therefore, it is logical that information systems research that involves decision-making should consider behavioral economics as a foundation or reference theory. Surprisingly, and despite calls for greater use of behavioral economics in information systems research, it seems that information systems has been slow to adopt contemporary behavioral economics as reference theory. This article reports a critical analysis of behavioral economics in all fields of information systems based on an intensive investigation of quality information systems research using bibliometric content analysis. The analysis shows that information systems researchers have a general understanding of behavioral economics, but their use of the theories has an ad hoc feel where only a narrow range of behavioral economic concepts and theories tend to form the foundation of information systems research. The factors constraining the adoption of behavioral economic theories in information systems are discussed and strategies for the use of this influential foundation theory are proposed. Guidance is provided on how behavioral economics could be used in various aspects of information systems. The article concludes with the view that behavioral economic reference theory has the potential to transform significant areas of information systems research. Collapse

Topics: electronic commerce decision making decision support system marketing management IS discipline

Methods: literature sample literature study qualitative content analysis experiment survey

Theories: prospect theory behavioral economics theory of bounded rationality dual-system theory behavioral theory

The Use of Cross-Platform Frameworks for Google Play Store Apps

2022 | HICSS | Citations: 0

Authors: Biørn-Hansen, Andreas; Grønli, Tor-Morten; Majchrzak, Tim A.; Kaindl, Hermann; Ghinea, Gheorghita

Abstract: In this paper, we describe the harnessing and analyses of a large sample (n = 66 ... Expand

Abstract: In this paper, we describe the harnessing and analyses of a large sample (n = 661 705) of Android apps and associated metadata available on the Google Play Store. The analyses and scrutiny are in the context of cross-platform mobile development, as we report on the technologies used to develop apps for the Android ecosystem. Specifically, we quantify the use of 13 technical frameworks for cross-platform development, identify their distribution across Google Play Store categories, present an overview of framework usage from 2008 to 2019, app file size (.apk size), and lastly discuss our findings in the context of current industry trends and directions. Our findings indicate that cross-platform apps account for approximately 15% (n = 99 304) of the dataset, and that all overarching development approaches are present. Collapse

Topics: mobile application mobile application market digital distribution Google+ Android

Methods: computational algorithm survey descriptive statistic ANOVA parametric test