Deployment strategies for service innovation

Wang, Q, Voss, C A and Zhao, X (2019) Deployment strategies for service innovation. IEEE Transactions on Engineering Management, 66 (4). pp. 514-528. ISSN 0018-9391 OPEN ACCESS

Abstract

In large organizations, local use of innovations is not enough; extracting the full use of the innovation requires deployment across the organization. The purpose of this paper is to explore strategies for the deployment of service innovations and factors influencing success. We adopt an inductive theory-building approach with a longitudinal embedded case study of ten successful service innovations. We find two deployment strategies: required adoption, in which subsidiaries are required to adopt innovations, and voluntary adoption, in which adoption is not compulsory—innovations are showcased, but the adoption decision is left to the subsidiaries. We have investigated the factors influencing deployment, including the decentralized nature of service innovation, fit with the internal and external context, extrinsic and intrinsic motivations, and handovers. Based on analyses of case evidence, we put forward research propositions accordingly. This study provides managerial guidance for multidivisional organizations to extract full value from service innovations. Although some results may be particular to the Chinese context, research in other contexts can broaden the generalizability of the findings.

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Item Type: Article
Subject Areas: Management Science and Operations
Additional Information:

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Date Deposited: 30 May 2019 10:52
Date of first compliant deposit: 19 Feb 2019
Subjects: Case studies
Last Modified: 31 Jul 2023 00:37
URI: https://lbsresearch.london.edu/id/eprint/1089
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