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 - Diaz Ferreyra, Nicolás Emilio A1 - Shahi, Gautam Kishore A1 - Tony, Catherine A1 - Stieglitz, Stefan A1 - Scandariato, Riccardo ED - Schmidt, Albrecht ED - Väänänen, Kaisa ED - Goyal, Tesh ED - Kristensson, Per Ola ED - Peters, Anicia T1 - Regret, delete, (do not) repeat BT - an analysis of self-cleaning practices on twitter after the outbreak of the covid-19 pandemic T2 - Extended abstracts of the 2023 CHI conference on human factors in computing systems N2 - During the outbreak of the COVID-19 pandemic, many people shared their symptoms across Online Social Networks (OSNs) like Twitter, hoping for others’ advice or moral support. Prior studies have shown that those who disclose health-related information across OSNs often tend to regret it and delete their publications afterwards. Hence, deleted posts containing sensitive data can be seen as manifestations of online regrets. In this work, we present an analysis of deleted content on Twitter during the outbreak of the COVID-19 pandemic. For this, we collected more than 3.67 million tweets describing COVID-19 symptoms (e.g., fever, cough, and fatigue) posted between January and April 2020. We observed that around 24% of the tweets containing personal pronouns were deleted either by their authors or by the platform after one year. As a practical application of the resulting dataset, we explored its suitability for the automatic classification of regrettable content on Twitter. KW - privacy KW - self-disclosure KW - online regrets KW - deleted tweets KW - crisis communication KW - COVID-19 Y1 - 2023 SN - 978-1-45039-422-2 U6 - https://doi.org/10.1145/3544549.3585583 SP - 1 EP - 7 PB - ACM CY - New York, NY ER - TY - CHAP A1 - Kocur, Alexander A1 - Clausen, Sünje A1 - Hofeditz, Lennart A1 - Brünker, Felix A1 - Fromm, Jennifer A1 - Stieglitz, Stefan T1 - Fighting false information BT - designing a conversational agent for public sector organizations T2 - ECIS 2023 research-in-progress papers N2 - The digital transformation poses challenges for public sector organizations (PSOs) such as the dissemination of false information in social media which can cause uncertainty among citizens and decrease trust in the public sector. Some PSOs already successfully deploy conversational agents (CAs) to communicate with citizens and support digital service delivery. In this paper, we used design science research (DSR) to examine how CAs could be designed to assist PSOs in fighting false information online. We conducted a workshop with the municipality of Kristiansand, Norway to define objectives that a CA would have to meet for addressing the identified false information challenges. A prototypical CA was developed and evaluated in two iterations with the municipality and students from Norway. This research-in-progress paper presents findings and next steps of the DSR process. This research contributes to advancing the digital transformation of the public sector in combating false information problems. KW - false information KW - conversational agents KW - crisis communication KW - media literacy Y1 - 2023 UR - https://aisel.aisnet.org/ecis2023_rip/65 PB - AIS Electronic Library (AISeL) CY - [Erscheinungsort nicht ermittelbar] ER - TY - CHAP A1 - Clausen, Sünje A1 - Brünker, Felix A1 - Stieglitz, Stefan T1 - Towards responsible augmentation BT - identifying characteristics of AI-based technology with ethical implications for knowledge workers T2 - ACIS 2023 proceedings N2 - Artificial intelligence (AI)-based technologies can increasingly perform knowledge work tasks, such as medical diagnosis. Thereby, it is expected that humans will not be replaced by AI but work closely with AI-based technology (“augmentation”). Augmentation has ethical implications for humans (e.g., impact on autonomy, opportunities to flourish through work), thus, developers and managers of AI-based technology have a responsibility to anticipate and mitigate risks to human workers. However, doing so can be difficult as AI encompasses a wide range of technologies, some of which enable fundamentally new forms of interaction. In this research-in-progress paper, we propose the development of a taxonomy to categorize unique characteristics of AI-based technology that influence the interaction and have ethical implications for human workers. The completed taxonomy will support researchers in forming cumulative knowledge on the ethical implications of augmentation and assist practitioners in the ethical design and management of AI-based technology in knowledge work. KW - artificial intelligence KW - augmentation KW - taxonomy KW - human-AI interaction KW - ethics Y1 - 2023 UR - https://aisel.aisnet.org/acis2023/123/ PB - Australasian Association for Information Systems CY - Wellington ER - TY - CHAP A1 - Böhme, Lukas A1 - Wuttke, Tobias A1 - Bender, Benedict A1 - Teusner, Ralf A1 - Baltes, Sebastian A1 - Matthies, Christoph A1 - Perscheid, Michael T1 - From full-fledged erp systems towards process-centric business process platforms T2 - Twenty-ninth Americas Conference on Information Systems, Panama, 2023 N2 - Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine the challenges of current ERP systems using the task technology fit theory across companies of varying sizes. We describe high entry barriers, high costs of implementing implicit processes, and insufficient interoperability of already employed tools. We present a vision of a future business process platform based on three enablers: Business processes as first-class entities, semantic data and processes, and cloud-native elasticity and high availability. We discuss how these enablers address current ERP systems' challenges and how they may be used for research on the next generation of business software for tomorrow's enterprises. KW - ERP system KW - enterprise system KW - business process platform Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2306.02995 PB - arXiv.org, Cornell University CY - Ithaca, NY ER - TY - CHAP A1 - Bender, Benedict A1 - Gronau, Norbert A1 - Winter, Robert ED - Bui, Tung X. T1 - Minitrack introduction enterprise-level information systems BT - research minitrack T2 - Proceedings of the 56th Hawaii International Conference on System Sciences N2 - While Information Systems (IS) Research on the individual and workgroup level of analysis is omnipresent, research on the enterprise-level IS is less frequent. Even though research on Enterprise Systems and their management is established in academic associations and conference programs, enterprise-level phenomena are underrepresented. This minitrack provides a forum to integrate existing research streams that traditionally needed to be attached to other topics (such as IS management or IS governance). The minitrack received broad attention. The three selected papers address different facets of the future role of enterprise-wide IS including aspects such as carbonization, ecosystem integration, and technology-organization fit. KW - information systems research KW - enteprise-level KW - enterprise systems Y1 - 2023 SN - 978-0-9981331-6-4 SN - 2572-6862 SP - 5809 EP - 5810 PB - Hawaii International Conference on System Sciences CY - Honolulu, HI ER - TY - CHAP A1 - Lilliestam, Johan A1 - Du, Fengli A1 - Gilmanova, Alina A1 - Mehos, Mark A1 - Wang, Zhifeng A1 - Thonig, Richard T1 - Scaling up CSP BT - how long will it take? T2 - AIP conference proceedings N2 - Concentrating solar power (CSP) is one of the few scalable technologies capable of delivering dispatchable renewable power. Therefore, many expect it to shoulder a significant share of system balancing in a renewable electricity future powered by cheap, intermittent PV and wind power: the IEA, for example, projects 73 GW CSP by 2030 and several hundred GW by 2050 in its Net-Zero by 2050 pathway. In this paper, we assess how fast CSP can be expected to scale up and how long time it would take to get new, high-efficiency CSP technologies to market, based on observed trends and historical patterns. We find that to meaningfully contribute to net-zero pathways the CSP sector needs to reach and exceed the maximum historical annual growth rate of 30%/year last seen between 2010-2014 and maintain it for at least two decades. Any CSP deployment in the 2020s will rely mostly on mature existing technologies, namely parabolic trough and molten-salt towers, but likely with adapted business models such as hybrid CSP-PV stations, combining the advantages of higher-cost dispatchable and low-cost intermittent power. New third-generation CSP designs are unlikely to play a role in markets during the 2020s, as they are still at or before the pilot stage and, judging from past pilot-to-market cycles for CSP, they will likely not be ready for market deployment before 2030. CSP can contribute to low-cost zero-emission energy systems by 2050, but to make that happen, at the scale foreseen in current energy models, ambitious technology-specific policy support is necessary, as soon as possible and in several countries. Y1 - 2023 U6 - https://doi.org/10.1063/5.0148709 SN - 1551-7616 SN - 0094-243X VL - 2815 IS - 1 PB - American Institute of Physics CY - Melville ER - TY - CHAP A1 - Gonnermann, Jana A1 - Teichmann, Malte T1 - Influence of pre-experience on learning, usability and cognitive load in a virtual learning environment T2 - Americas conference on information systems N2 - Virtual reality can have advantages for education and learning. However, it must be adequately designed so that the learner benefits from the technological possibilities. Understanding the underlying effects of the virtual learning environment and the learner’s prior experience with virtual reality or prior knowledge of the content is necessary to design a proper virtual learning environment. This article presents a pre-study testing the design of a virtual learning environment for engineering vocational training courses. In the pre-study, 12 employees of two companies joined the training course in one of the two degrees of immersion (desktop VR and VR HMD). Quantitative results on learning success, cognitive load, usability, and motivation and qualitative learning process data were presented. The qualitative data assessment shows that overall, the employees were satisfied with the learning environment regardless of the level of immersion and that the participants asked for more guidance and structure accompanying the learning process. Further research is needed to test for solid group differences. KW - immersion KW - virtual learning environments KW - learner characteristics KW - vocational training KW - cognitive load theory Y1 - 2023 UR - https://aisel.aisnet.org/amcis2023/sig_ed/sig_ed/25/ IS - 1871 PB - AIS CY - Atlanta ER -