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A measurement framework for assessing the digital transformation of cultural institutions: the Italian case

Deborah Agostino, Chiara Costantini

2021Meditari Accountancy Research60 citationsDOIOpen Access PDF

Abstract

Purpose Public and private sector organisations are widely endorsing digital transformation processes, but little is known about the level of digitalisation of an organisation as a whole. The purpose of this paper is to develop a framework to assess an organisation’s level of digital transformation as a whole, taking the field of museums as an exemplary case of application. Design/methodology/approach The framework draws upon a scoping literature review of studies examining dimensions, metrics and methods for the assessment of the digital transformation of organisations. The framework has been validated by applying it to a sample of 400 Italian museums and further interviews with museum directors. Findings The authors propose an assessment framework composed of five main dimensions: people, technology, process, customer and strategy and investment. These dimensions are further deployed in sub-dimensions measured through a set of questions. The weighted average of results per dimension and sub-dimension supported the development of a composite index of organisational digital readiness. Originality/value The developed framework contributes to the current debate on the measurement of an organisation’s level of digital transformation as a whole, and it can offer practitioners a managerial tool to assess the organisation’s digital readiness.

Topics & Concepts

Digital transformationDimension (graph theory)OriginalityKnowledge managementField (mathematics)Set (abstract data type)Process (computing)Sample (material)Value (mathematics)Transformation (genetics)BusinessComputer scienceProcess managementSociologyMathematicsWorld Wide WebSocial scienceGeneChemistryProgramming languageChromatographyBiochemistryMachine learningPure mathematicsQualitative researchOperating systemDigital Transformation in IndustryBig Data and Business IntelligenceInnovation, Sustainability, Human-Machine Systems
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