Digitalizing interorganizational relationships: Sequential and intertwined decisions for data synchronization |
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| Institution: | 1. IMT Atlantique, LEMNA, 4 rue Alfred Kastler, BP 20722, 44307 Nantes Cedex 3, France;2. University of Nantes, LEMNA, SKEMA Business School, Chemin de la Censive du Tertre, BP 52231, 44322 Nantes Cedex 3, France;3. University of South Florida, Muma College of Business, 4202 E. Fowler Avenue, BSN 3403, Tampa, FL 33620, USA;1. University of Rome Tor Vergata, Department of Enterprise Engineering, Via del Politecnico 1, 00133 Rome, Italy;2. MIT Center for Collective Intelligence, 245 First Street, 02142 Cambridge, MA, USA;1. University of Eastern Finland, Business School, P.O. Box 111, FI-80101 Joensuu, Finland;2. HAAGA-HELIA University of Applied Sciences, Ratapihantie 13, FI-00520 Helsinki, Finland;1. Department of Information Systems and Business Analytics, Hofstra University, 11501, USA;2. H. John Heinz III College of Information Systems and Public Policy, Carnegie Mellon University, 15213, USA;1. Department of Business Administration, Zhejiang University of Technology, Zhejiang, China;2. Department of Information Management, Ming Chuan University, Taoyuan, Taiwan, ROC;1. Petróleo Brasileiro S.A.- Petrobras University, Rua Ulysses Guimarães, 565 – Cidade Nova, Rio de Janeiro, RJ, 20.211-225, Brazil;2. Fluminense Federal University, Faculty of Engineering, Department of Industrial Engineering, Industrial Engineering Graduate Program, Rua Passo da Pátria, 156, bloco D, Sala 306, São Domingos, Niterói, RJ, 24.210-240, Brazil;1. Faculty of Management and Economy, Universiti Pendidikan Sultan Idris, Proton City, 35900, Tanjung Malim, Perak, Malaysia;2. Montpellier Business School, 2300, Avenue des Moulins, 34185, Montpellier Cedex 4, France |
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| Abstract: | Digitalizing interorganizational relationships (IORs) concerns B2B partners adopting and using Interorganizational Information Systems (IOSs). The decision to digitalize IORs involves choices about (1) whether or not to digitalize information flows, and (2) which technology to use. We explore whether these two choices are made sequentially or if they are intertwined. Using sequential adoption theory and institutional theory, we investigate the decisions related to digitalizing IORs through data synchronization. In the context of product information in the French consumer goods and retail industries, analysis of 18 case studies (large firms and SMEs) provides empirical evidence on the distinction between the two related decisions and the factors influencing each one. Our propositions integrate institutional pressures, observational learning, organizational capabilities and technological characteristics. |
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| Keywords: | Sequential decision Adoption factors Interorganizational Information Systems Data synchronization Technology choices Product information Digitalization |
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