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Strategic action fields of digital transformation

Marc K. Peter, Corin Kraft, Johan Lindeque

2020Journal of strategy and management197 citationsDOIOpen Access PDF

Abstract

Purpose The purpose of this paper is to capture the collective understanding of digital transformation (DT) across Swiss businesses and establish a reference framework based on the strategic action field (SAF) theory. Design/methodology/approach A number of Swiss associations provided their databases for an online survey. The large sample includes 2,590 participants from 1,854 organisations and delivered over 4,200 descriptions of DT, categorised into seven SAFs. A cross tabulation of SAF combinations by firm size identified 127 possible SAF combinations which constitute the common understanding of DT. Findings The data set allowed the identification of SAFs and the conceptualisation of DT based on a shared understanding. Drivers of digital transformation are: process engineering, new technologies and digital business development, supported by digital leadership and culture, the cloud and data, customer centricity and digital marketing. Research limitations/implications For practitioners, the study provides the SAFs that should be considered for DT strategies. For academic scholars, a unique data set has allowed the study of DT by analysing action field combinations, revealing a nuanced constellation of SAFs. Limitations are the focus on Swiss organisations and a convenience sample for collecting the analysed data. Originality/value For the first time, the shared understanding of DT in Swiss businesses – based on SAFs – has allowed a conceptualisation of DT in order to provide guidance to businesses managers and employees.

Topics & Concepts

Digital transformationSample (material)OriginalityField (mathematics)Action (physics)Knowledge managementSet (abstract data type)Process (computing)Value (mathematics)BusinessMarketingData scienceComputer scienceSociologyQualitative researchWorld Wide WebQuantum mechanicsChemistryMathematicsMachine learningPhysicsChromatographyPure mathematicsProgramming languageOperating systemSocial scienceDigital Transformation in IndustryInnovation and Knowledge ManagementCollaboration in agile enterprises
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