TY - CONF AB - The humanitarian crisis resulting from the Russian invasion of Ukraine has led to millions of displaced individuals across Europe. Addressing the evolving needs of these refugees is crucial for hosting countries and humanitarian organizations. This study leverages social media analytics to supplement traditional surveys, providing real-time insights into refugee needs by analyzing over two million messages from Telegram, a vital platform for Ukrainian refugees in Germany. We employ Natural Language Processing techniques, including language identification, sentiment analysis, and topic modeling, to identify well-defined topic clusters such as housing, financial and legal assistance, language courses, job market access, and medical needs. Our findings also reveal changes in topic occurrence and nature over time. To support practitioners, we introduce an interactive web-based dashboard for continuous analysis of refugee needs. AU - Reimann, Raphael AU - Caron, Matthew ID - 50437 T2 - Wirtschaftsinformatik TI - Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine Learning Approach ER - TY - GEN AU - Knorr, Lukas AU - Jungeilges, André AU - Pfeifer, Florian AU - Burmeister, Sascha Christian AU - Meschede, Henning ID - 48335 TI - Regenerative Energien für einen effizienten Betrieb von Presshärtelinien ER - TY - CONF AB - Digital technologies have made the line of visibility more transparent, enabling customers to get deeper insights into an organization’s core operations than ever before. This creates new challenges for organizations trying to consistently deliver high-quality customer experiences. In this paper we conduct an empirical analysis of customers’ preferences and their willingness-to-pay for different degrees of process transparency, using the example of digitally-enabled business-to-customer delivery services. Applying conjoint analysis, we quantify customers’ preferences and willingness-to-pay for different service attributes and levels. Our contributions are two-fold: For research, we provide empirical measurements of customers’ preferences and their willingness-to-pay for process transparency, suggesting that more is not always better. Additionally, we provide a blueprint of how conjoint analysis can be applied to study design decisions regarding changing an organization’s digital line of visibility. For practice, our findings enable service managers to make decisions about process transparency and establishing different levels of service quality. AU - Brennig, Katharina AU - Müller, Oliver ID - 37058 KW - Digital Services KW - Line of Visibility KW - Process Transparency KW - Customer Preferences KW - Conjoint Analysis T2 - Hawaii International Conference on System Sciences TI - More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency ER - TY - CONF AB - Organizations employ process mining to discover, check, or enhance process models based on data from information systems to improve business processes. Even though process mining is increasingly relevant in academia and organizations, achieving process mining excellence and generating business value through its application is elusive. Maturity models can help to manage interdisciplinary teams in their efforts to plan, implement, and manage process mining in organizations. However, while numerous maturity models on business process management (BPM) are available, recent calls for process mining maturity models indicate a gap in the current knowledge base. We systematically design and develop a comprehensive process mining maturity model that consists of five factors comprising 23 elements, which organizations need to develop to apply process mining sustainably and successfully. We contribute to the knowledge base by the exaptation of existing BPM maturity models, and validate our model through its application to a real-world scenario. AU - Brock, Jonathan AU - Löhr, Bernd AU - Brennig, Katharina AU - Seger, Thilo AU - Bartelheimer, Christian AU - von Enzberg, Sebastian AU - Kühn, Arno AU - Dumitrescu, Roman ID - 50459 T2 - European Conference on Information Systems TI - A Process Mining Maturity Model: Enabling Organizations to Assess and Improve their Process Mining Activities ER - TY - CHAP AU - Brennig, Katharina AU - Benkert, Kay AU - Löhr, Bernd AU - Müller, Oliver ID - 50450 SN - 1865-1348 T2 - Business Process Management Workshops TI - Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter? ER - TY - JOUR AU - Yahyaoui, Y. AU - Jakob, E.A. AU - Steinmetz, Holger AU - Wehner, M.C. AU - Isidor, R. AU - Kabst, Rüdiger ID - 50461 IS - 4 JF - Nonprofit Management & Leadership TI - The Equivocal Image of Young Social Enterprises - How Self- vs. Other-Oriented Values Influence External Perceptions VL - 33 ER - TY - CONF AU - Schütze, Christian AU - Lammert, Olesja AU - Richter, Birte AU - Thommes, Kirsten AU - Wrede, Britta ID - 48280 T2 - Artificial Intelligence in HCI TI - Emotional Debiasing Explanations for Decisions in HCI ER - TY - CONF AU - Küpper, K. AU - Garnefeld, I. AU - Steinhoff, Lena ID - 50978 TI - Evaluation of product testing programs as an effective marketing tool - Negative and positive effects of rejections in product testing programs ER - TY - CONF AU - Alberternst, B. AU - Giesler, M. AU - Steinhoff, Lena ID - 50975 TI - The Consumerization of Care: How Capitalism Is Co-Opting Solidarity ER - TY - JOUR AB - This study examines GAAP effective tax rate (ETR) visibility as a distinct disclosure choice in firms’ financial statements. By applying a game-theory disclosure model for the voluntary disclosure strategies of firms, in a tax setting, we argue that firms face a trade-off in their ETR disclosure decisions. On the one hand, firms have an incentive to enhance their ETR disclosure when the ratio offers shareholders ‘favourable conditions’, for example, higher expected after-tax cash flows. On the other hand, the disclosure of a favourable low ETR could attract the attention of tax auditors and the public and ultimately result in disclosure costs. We empirically test disclosure behaviour by examining the relation between disclosure visibility and different ETR conditions that reflect different stakeholder-specific costs and benefits. While we find that unfavourable ETR conditions are not highlighted, we observe higher disclosure visibility for favourable ETRs (smooth, close to the industry average, and decreasing ETRs). Additional analyses reveal that this high visibility is characteristic of firm years with only moderately decreasing ETRs at usual ETR levels, while extreme ETRs are not highlighted. Interestingly and in contrast to our main results, a subsample of family firms does not seem to highlight favourable ETRs. AU - Flagmeier, Vanessa AU - Müller, Jens AU - Sureth-Sloane, Caren ID - 29050 IS - 1 JF - Accounting and Business Research TI - When Do Firms Highlight Their Effective Tax Rate? VL - 53 ER - TY - JOUR AU - Koch, Reinald AU - Holtmann, Svea AU - Giese, Henning ID - 46042 IS - 1-2 JF - Journal of Business Economics SN - 0044-2372 TI - Losses Never Sleep – The Effect of Tax Loss Offset on Stock Market Returns during Economic Crises VL - 93 ER - TY - JOUR AU - Hoppe, Thomas AU - Schanz, Deborah AU - Sturm, Susann AU - Sureth-Sloane, Caren ID - 22924 IS - 2 JF - European Accounting Review SN - 0963-8180 TI - The Tax Complexity Index – A Survey-Based Country Measure of Tax Code and Framework Complexity VL - 32 ER - TY - CONF AU - Ozuna, Edna AU - Steinhoff, Lena ID - 50979 TI - Customer Misbehavior in the Peer-to-Peer Sharing Economy: The Mixed Role of Face-to-Face Interactions ER - TY - CONF AU - Ozuna, Edna AU - Steinhoff, Lena ID - 50977 TI - Face-to-Face Interactions in Peer-to-Peer Sharing Economy Services: An Effective Barrier to Customer Misbehavior? ER - TY - GEN AU - Greil, Stefan AU - Kaluza-Thiesen, Eleonore AU - Schulz, Kim Alina AU - Sureth-Sloane, Caren ID - 48414 TI - Umfrage: Tax Compliance und Verrechnungspreise ER - TY - JOUR AU - Maiterth, Ralf AU - Sureth-Sloane, Caren AU - Dyck, Daniel AU - Heinemann-Heile, Vanessa ID - 49548 IS - online first JF - Schmalenbach IMPULSE TI - GBP-Monitor Q3/2023: Das Wachstumschancengesetz – ein Investitionsimpuls? VL - 3 ER - TY - GEN AU - Heinemann-Heile, Vanessa AU - Maiterth, Ralf AU - Sureth-Sloane, Caren ID - 49295 TI - Umfrage: Bewertung Investitionsfördernder Maßnahmen durch Unternehmen aus Handel, Dienstleistung und Industrie ER - TY - GEN AU - Heinemann-Heile, Vanessa AU - Maiterth, Ralf AU - Sureth-Sloane, Caren ID - 49293 TI - Umfrage: Beurteilung Investitionsfördernder Maßnahmen durch Unternehmen im Handwerk ER - TY - GEN AU - Schneider, Jennifer Nicole ID - 48455 TI - Open Educational Resources zur Förderung nachhaltiger Bildung und Forschung. In: Jahrestagung 2023 der Sektion Berufs- und Wirtschaftspädagogik der Deutschen Gesellschaft für Erziehungswissenschaften ER - TY - GEN AU - Schneider, Jennifer Nicole ID - 48446 TI - SAFE -Streaming approaches for Europe - Enhancing the digital competences by streaming approaches for schools to tackle the challenges of COVID-19. The Teacher-Training-Platform on the SAFE Project Website ER -