TY - CHAP A1 - Höchenberger, Ralf A1 - Hummel, Detlev A1 - Seitz, Jürgen ED - Sharma, Neha ED - Goje, Amol ED - Chakrabarti, Amlan ED - Bruckstein, Alfred M. T1 - Do women shy away from cryptocurrency investment? BT - cross-country evidence from survey data T2 - Data management, analytics and innovation N2 - This study utilizes cross-country survey data to analyze differences in attitudes toward cryptocurrency as an alternative to traditional money issued by a central bank. Particularly, we investigate women’s general attitude toward cryptocurrency systems. Results suggest that women invest less into cryptocurrency, show less interest in the future cryptocurrency investment, and see less economic potential in these systems than men do. Further evidence shows that these attitudes are directly connected with lower literacy in cryptocurrency systems. These findings support theory on gender differences in investment behavior. We contribute to the existing literature by conducting a cross-country survey on cryptocurrency attitudes in Europe and Asia, and hence show that this gender effect is robust across these cultures. KW - cryptocurrencies KW - bitcoin KW - financial literacy KW - gender gap KW - risk tolerance Y1 - 2023 SN - 978-981-99-1413-5 SN - 978-981-99-1414-2 U6 - https://doi.org/10.1007/978-981-99-1414-2_6 SP - 69 EP - 76 PB - Springer Nature CY - Singapore ER - TY - CHAP A1 - Winter, Robert A1 - Bender, Benedict A1 - Aier, Stephan ED - Bui, Tung X. T1 - Enterprise-level IS research – need, conceptualization, exemplary knowledge contributions and future opportunities T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - Enterprise solutions, specifically enterprise systems, have allowed companies to integrate enterprises’ operations throughout. The integration scope of enterprise solutions has increasingly widened, now often covering customer activities, activities along supply chains, and platform ecosystems. IS research has contributed a wide range of explanatory and design knowledge dealing with this class of IS. During the last two decades, many technological as well as managerial/organizational innovations extended the affordances of enterprise solutions—but this broader scope also challenges traditional approaches to their analysis and design. This position paper presents an enterprise-level (i.e., cross-solution) perspective on IS, discusses the challenges of complexity and coordination for IS design and management, presents selected enterprise-level insights for IS coordination and governance, and explores avenues towards a more comprehensive body of knowledge on this important level of analysis. KW - enterprise ecosystems: the integrated enterprise KW - levels of information systems research (process, enterprise-, ecosystem- & industry-level) KW - enterprise architecture KW - enterprise systems KW - is governance KW - it/business alignment KW - organizational level Y1 - 2024 SN - 978-0-9981331-7-1 SP - 6402 EP - 6411 PB - Hawaii International Conference on System Sciences CY - Honolulu, HI ER - TY - CHAP A1 - Bender, Benedict A1 - Winter, Robert A1 - Schmidt, Pamela A1 - Narasimhan, Sathya ED - Bui, Tung X. T1 - Minitrack introduction: Enterprise Ecosystems BT - the integrated enterprise, levels of information systems research (process, enterprise-, ecosystem- & industry-level) T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - While Information Systems Research exists at the individual and workgroup levels, research on IS at the enterprise level is less common. The potential synergies between the study of enterprise systems (ES) and related fields have been underexplored and often treated as separate entities. The ongoing challenge is to seamlessly integrate technological advances and align business processes across organizations. While systems integration within an organization is common, changes occur when industry and ecosystem perspectives come into play. The four selected papers address different facets of the future role of enterprise ecosystems, including implementation challenges, ecosystem boundaries, and B2B platform specifics. KW - information systems research KW - ERP KW - enteprise-level KW - enterprise systems Y1 - 2024 SN - 978-0-9981331-7-1 SN - 2572-6862 SP - 6370 EP - 6371 PB - Hawaii International Conference on System Sciences CY - Honolulu, HI ER - TY - CHAP A1 - Rojahn, Marcel A1 - Gronau, Norbert ED - Bui, Tung X. T1 - Openness indicators for the evaluation of digital platforms between the launch and maturity phase T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - In recent years, the evaluation of digital platforms has become an important focus in the field of information systems science. The identification of influential indicators that drive changes in digital platforms, specifically those related to openness, is still an unresolved issue. This paper addresses the challenge of identifying measurable indicators and characterizing the transition from launch to maturity in digital platforms. It proposes a systematic analytical approach to identify relevant openness indicators for evaluation purposes. The main contributions of this study are the following (1) the development of a comprehensive procedure for analyzing indicators, (2) the categorization of indicators as evaluation metrics within a multidimensional grid-box model, (3) the selection and evaluation of relevant indicators, (4) the identification and assessment of digital platform architectures during the launch-to-maturity transition, and (5) the evaluation of the applicability of the conceptualization and design process for digital platform evaluation. KW - federated industrial platform ecosystems KW - technologies KW - business models KW - data-driven artifacts KW - design-science research KW - digital platform openness KW - evaluation KW - morphological analysis Y1 - 2024 SN - 978-0-99813-317-1 SP - 4516 EP - 4525 PB - Department of IT Management Shidler College of Business University of Hawaii CY - Honolulu, HI ER - TY - CHAP A1 - Panzer, Marcel A1 - Gronau, Norbert T1 - Enhancing economic efficiency in modular production systems through deep reinforcement learning T2 - Procedia CIRP N2 - In times of increasingly complex production processes and volatile customer demands, the production adaptability is crucial for a company's profitability and competitiveness. The ability to cope with rapidly changing customer requirements and unexpected internal and external events guarantees robust and efficient production processes, requiring a dedicated control concept at the shop floor level. Yet in today's practice, conventional control approaches remain in use, which may not keep up with the dynamic behaviour due to their scenario-specific and rigid properties. To address this challenge, deep learning methods were increasingly deployed due to their optimization and scalability properties. However, these approaches were often tested in specific operational applications and focused on technical performance indicators such as order tardiness or total throughput. In this paper, we propose a deep reinforcement learning based production control to optimize combined techno-financial performance measures. Based on pre-defined manufacturing modules that are supplied and operated by multiple agents, positive effects were observed in terms of increased revenue and reduced penalties due to lower throughput times and fewer delayed products. The combined modular and multi-staged approach as well as the distributed decision-making further leverage scalability and transferability to other scenarios. KW - modular production KW - production control KW - multi-agent system KW - deep reinforcement learning KW - discrete event simulation Y1 - 2024 U6 - https://doi.org/10.1016/j.procir.2023.09.229 SN - 2212-8271 VL - 121 SP - 55 EP - 60 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Marx, Julian A1 - Brünker, Felix A1 - Mirbabaie, Milad A1 - Stieglitz, Stefan ED - Bui, Tung X. T1 - Digital activism on social media BT - the role of brand ambassadors and corporate reputation management T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - Social media constitute an important arena for public debates and steady interchange of issues relevant to society. To boost their reputation, commercial organizations also engage in political, social, or environmental debates on social media. To engage in this type of digital activism, organizations increasingly utilize the social media profiles of executive employees and other brand ambassadors. However, the relationship between brand ambassadors’ digital activism and corporate reputation is only vaguely understood. The results of a qualitative inquiry suggest that digital activism via brand ambassadors can be risky (e.g., creating additional surface for firestorms, financial loss) and rewarding (e.g., emitting authenticity, employing ‘megaphones’ for industry change) at the same time. The paper informs both scholarship and practitioners about strategic trade-offs that need to be considered when employing brand ambassadors for digital activism. KW - the bright and dark side of social media in the marginalized contexts KW - brand ambassadors KW - digital activism KW - reputation management KW - social media Y1 - 2024 UR - https://hdl.handle.net/10125/107250 SN - 978-0-99813-317-1 SP - 7205 EP - 7214 PB - Department of IT Management Shidler College of Business University of Hawaii CY - Honolulu, HI ER - TY - CHAP A1 - Mirbabaie, Milad A1 - Rieskamp, Jonas A1 - Hofeditz, Lennart A1 - Stieglitz, Stefan ED - Bui, Tung X. T1 - Breaking down barriers BT - how conversational agents facilitate open science and data sharing T2 - Proceedings of the 57th Annual Hawaii International Conference on System Sciences N2 - Many researchers hesitate to provide full access to their datasets due to a lack of knowledge about research data management (RDM) tools and perceived fears, such as losing the value of one's own data. Existing tools and approaches often do not take into account these fears and missing knowledge. In this study, we examined how conversational agents (CAs) can provide a natural way of guidance through RDM processes and nudge researchers towards more data sharing. This work offers an online experiment in which researchers interacted with a CA on a self-developed RDM platform and a survey on participants’ data sharing behavior. Our findings indicate that the presence of a guiding and enlightening CA on an RDM platform has a constructive influence on both the intention to share data and the actual behavior of data sharing. Notably, individual factors do not appear to impede or hinder this effect. KW - open science practices in information systems research KW - conversational agents KW - data sharing KW - digital nudging KW - open science KW - research data management Y1 - 2024 UR - https://hdl.handle.net/10125/106457 SN - 978-0-99813-317-1 SP - 672 EP - 681 PB - Department of IT Management Shidler College of Business University of Hawaii CY - Honolulu, HI ER - TY - CHAP A1 - Batzel, Katharina A1 - Baum, Katharina T1 - Exploring information flow on twitter: social network analysis on gender-specific sedicine T2 - AMCIS Proceedings 2022 N2 - To date, sex and gender differences play only a minor role in medical research and practice, thereby putting individuals’ health at risk. Gender-specific medicine, or the practice of taking these differences into account when conducting research and treating patients so far is being discussed primarily by experts. With people increasingly using social media such as Twitter for sharing and searching for health-related information online, Twitter can potentially educate about gender-specific medicine. However, little is known about the information circulation and the structure of interactions on the Twitter network discussing this topic. Results of a network analysis show that the network exhibits a community-structure, with information exchange being limited and concentrated in silos. This indicates that there is untapped potential for acquiring new information by users through interacting with individuals outside their community. Public health officials may benefit from this insight and tailor online campaigns to enhance awareness on gender-specific medicine. Y1 - 2022 SN - 978-1-958200-00-1 IS - 1548 PB - AIS CY - Atlanta ER -