Practice-based IS Research
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Item Riding the Generative AI Wave: A Research Agenda for Navigating Tensions and Generating Value(2025-01-07) Someh, Ida Asadi; Duane, Ja-Nae; Van Der Meulen, Nick; Wixom, BarbaraThis paper sets out to explore the novel challenges and opportunities for value creation from Generative Artificial Intelligence (GenAI) and identify promising pathways for future research that can deeply inform practice. Drawing on insights from data executives globally and a case study, the research identifies three key emerging themes as crucial for understanding GenAI value: provider-driven model building and ownership, democratization of innovation and development, and localized model validation and application. These themes shed light on three set of tensions (need for speed versus transparency, democratizing innovation versus controlling risks, and automation efficiency versus knowledge preservation) that must be explored and resolved before business leaders can effectively advance their GenAI initiatives and find a path to value. Our proposed agenda addresses these tensions and aims to expedite socio-technical research regarding GenAI to keep pace with its rapid adoption.Item Guidance Facilitating the Acceptance of Generative Artificial Intelligence: Insights from Digital Leaders(2025-01-07) Höhener, DariaThe hype of generative AI (genAI) is omnipresent, and the characteristics of AI – autonomy, learning, and inscrutability – are well-known. Nonetheless, due to the uniqueness of genAI in producing outputs almost indistinguishable from those of humans and the associated uncertainties, companies struggle to address the challenge of human agent acceptance for the successful adoption of genAI. Based on identified challenges, this paper provides a selection of practices focusing on operational formats and organizational approaches to enhance genAI acceptance. The outcome offers practitioners specific examples to drive acceptance by increasing the usage and impact intensity potential of genAI use cases.Item Aligning Conflicting Manager Interests When Implementing Gen-Ai Initiatives Front-To-Back - A Guide for Financial Services Executives(2025-01-07) Baum, Nico; Benlian, AlexanderIntegrating the latest generative artificial intelligence (Gen-AI) technologies promises to redefine traditional industry practices and add value through increased productivity. Financial services executives must ensure the technology is adopted and scaled within their organizations. However , firms encounter difficulties in bringing use cases into production. One reason is that there are conflicts of interest between executives in the front-office and executives in the back-office when implementing Gen-AI. Issues often raised by back-office managers include concerns about safety, privacy, and accuracy. This paper studies the practical experience and lessons learned from implementing Gen-AI initiatives in a private bank. The objective is to explore the critical conflicts of interest between different manager roles regarding Gen-AI implementation. Finally, we provide seven guidelines for board members to effectively align these to enable organization-wide Gen-AI value generation and implementation. The paper offers theoretical and practical contributions for executives seeking to implement Gen-AI projects efficiently.Item Savvy versus Sluggish Digital Leadership: A Case Study in IT Operating Model Renewal(2025-01-07) Suleman, Muhammad; Ahola, Tuomas; Ralyté, Jolita; Pekkola, SamuliWhile digital leadership is central to digital transformation, its role in information technology operating model (ITOM) renewal has remained unexplained. This paper contributes to the information systems literature by opening the digital leadership black box and disentangling it into the nuances of savvy (SADL) as opposed to sluggish digital leadership (SLDL). It presents an exploratory longitudinal case study of two large companies from two different industries which reveals that SADL drives much more successful ITOM renewal by employing a SIT approach – Speed, Involvement of employees and Timing. The findings demonstrate that having a clear strategy to gain speed, continuous employee involvement and timely seizing of opportunities make a significant difference in ITOM renewal.Item The Good, the Bad, and the Ugly: Analyzing the Impact of Blockchain Technology on Traceability for SMEs(2025-01-07) De Rossi, Leonardo Maria; Abbatemarco, NicoThis paper examines the effects that adopting a blockchain-based traceability solution can have on micro and SME organizations. Specifically, in our study we investigate the case of TrackIT, a project launched by the Italian Trade Agency to support the fight against counterfeited and “Italian sounding” products and promote genuine “Made in Italy” ones. Through a series of 18 interviews with participants in the TrackIT ecosystem, we delineate the positive (the "Good"), negative (the "Bad"), and ambiguous (the "Ugly") impacts of the solution on the involved companies. Building on this, we provide a set of guidelines for organizations involved in similar projects, detailing potential ways to exploit the good, minimize the bad, and manage the ugly. Among these, we highlight five major recommendations: capitalize on blockchain’s hype to digitalize processes, leverage its innovative image for marketing, consider traditional alternatives, act as a consortium, and adjust economic expectations before adoption.Item Introduction to the Minitrack on Practice-based IS Research(2025-01-07) Kettinger, Bill; Piccoli, Gabriele; Milovich, Michael; Rodriguez, JoaquinItem An Empirical Analysis of Digital Twin Adoption(2025-01-07) Zech, Philipp; Clark, Tony; Breu, RuthThere has been significant interest in digital twins over the past few decades. Comprising a virtual replica of (cyber-)physical systems, and a bidirectional connection for data exchange with the (cyber-)physical system, digital twins create a real-time knowledge base on a system and its processes. Yet, the full potential of digital twins remains untapped. To understand the reasons for this phenomenon, it is essential to thoroughly examine the current industrial rate of adoption and accompanying trends. This paper presents the results of an online survey conducted with industrial practitioners to assess the current state of digital twin adoption, including existing practices, barriers, and desiderata. We provide an overview of potential directions for future research to promote the adoption of digital twins.