Emerging and innovative digital business models are the most impactful disruption industry has witnessed since industrialization. A decade ago, the most valuable companies dominating the stock exchanges were raw materials conglomerates. In contrast, the highest market valuations today are held by a number of companies whose core value propositions are platform ecosystems, deep analytical skills, the ability to radically transform industry sectors, and familiarity and access to customer data. Indeed, these firms have acquired their own acronyms, such as the FANG stocks (Facebook, Amazon, Netflix, Google), reflecting their market power. Of course, ongoing digital transformation has led to refinements of these terms, the latest being WANG stocks (Walmart, Apple, Netflix, Google). The advent of these technology companies and technology-enabled business models has led to significant shifts in competitive dynamics, including the basis of competitive advantage, across diverse industries. An understanding of these shifts is important for organizations, business leaders as well as policy makers seeking to foster innovation and add economic welfare.
Concomitantly, in recent years, a number of researchers in information systems have begun to investigate the causalities underlying these digital disruptions by innovative business models (Veit et al. 2014). While many research streams in the past have focused on individual aspects of this disruption, few researchers have investigated the underlying nature of network externalities, lock-in and switching costs and its effect for incumbent business models.
Bharadwaj et al. (2013) questioned the causal direction of influence between digital strategy and business strategy. Yet, this call has not yet sufficiently been answered by information systems scholars in subsequent years. We invite submissions that study the transformative process that is caused by digital technologies, and the resulting business models that evolve and thrive. At the industry or firm level, these business models may thrive or fail – we believe there is theoretical value in understanding both successes and failures, and invite papers that study both aspects of digital transformation.
Beyond the organizational level, there is increasing recognition of the need to focus on the micro-foundations of strategic processes that underlie such transformation (Felin and Foss 2005). Though firms are transformative and develop new business models, fundamentally these are processes involving individuals that act on their own incentives and motivations (Greenwood et al. 2018). Therefore, we also invite submissions which contribute in the arena of digital business models and/or digital transformation of businesses from an individual level, thereby establishing micro-foundations. We primarily invite empirical pieces but also welcome conceptual work as well as action design-oriented research.
Track Chairs
Anandasivam Gopal
Deepa Mani
Daniel Veit
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Consumer-Based Ranking for Strategic Selection of IoT Business Models Cristina A. Mihale-Wilson, Goethe University Frankfurt |
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Digital readiness: construct development and empirical validation Dinh Khoi Nguyen, University of Groningen |
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Digital Transformation: Of Paradoxical Tensions and Managerial Responses Christina Soh, NTU |
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Silvana Hinsen, Information Systems and Strategic IT Management |
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Do Digital Giants Create Value by Mergers and Acquisitions? Dirk Schiereck, Technische Universität Darmstadt |
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Darshana Sedera, Swinburne University of Technology |
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Engagement on Digital Platforms: A Theoretical Perspective Yinan Yu, University of Memphis |
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If the App Fits – Business Mobile Application Assimilation and Value Creation in SMEs David Egbert, RWTH Aachen University |
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Yunkun Zhao, National University of Singapore |
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Online Customer Reviews as Driver of Customer Loyalty Tobias M. Lohse, RWTH Aachen University |
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Optimal Design and Ownership Structures of Innovative Retail Payment Systems Zhiling Guo, Singapore Management University |
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Organizational Learning in the Rise of Machine Learning Rania Afiouni, McGill University |
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Organizing Around Big Data: Organizational Analytic Capabilities for Improved Performance Dijo T. Alexander, Case Western Reserve University |
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Process Selection in RPA Projects – Towards a Quantifiable Method of Decision Making Jonas Wanner, University of Würzburg |
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Ridesharing and the Use of Public Transportation Katherine Hoffmann Pham, New York University |
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Still Targeting Younger Customers? A Field Experiment on Digital Communication Channel Migration Zherui Yang, Erasmus University |
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Technological Compatibility between Platforms and Multi-homing of Third-Party Developers Jing Tian, Fudan University |
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Friedrich Holotiuk, Frankfurt School of Finance & Management |
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Toward a Method to Foster the Digital Transformation in SME Networks Sarah Hönigsberg, TU Chemnitz |
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Understanding the Legitimacy Challenges for Sharing Economy Disruptors: A Topic Modeling Approach Nila Zhang, Nanyang Technological University |
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When Popularity Meets Position Qianran Jin, McGill University |