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Article
Publication date: 1 February 2018

Nicola Giuseppe Castellano and Roberto Del Gobbo

The purpose of this paper is to study how the design of a strategy map can be supported by measures expressing the customers’ perceptions about strategic factors and their related…

Abstract

Purpose

The purpose of this paper is to study how the design of a strategy map can be supported by measures expressing the customers’ perceptions about strategic factors and their related determinants. In particular, managers are provided with a fact-based test useful to revise prior knowledge and beliefs.

Design/methodology/approach

A case study is used to describe the adoption of the partial least squares path modelling (PLS-PM) approach to structural equation modelling in order to compare competing strategy maps and select the one that best fits customer perceptions. A focus group was organised to design the strategy maps, which were tested through a survey of 600 randomly selected resellers.

Findings

The empirical-based validation of a causal map by using PLS-PM may effectively stimulate a revision of managers’ collective perceptions about a phenomenon characterised by implicit knowledge, as in the case of customer needs.

Research limitations/implications

The case-study company operates in a business-to-business environment, and thus only the needs of direct customers have been included in the analysis. Final users’ needs should also be considered, even if different solutions are required for data collection.

Practical implications

The proposed approach provides a set of indicators which allow managers to identify strategic priorities, thus facilitating decision making and strategic planning.

Originality/value

In the strategic management literature, few attempts have been made to operationalise the complex and multidimensional latent constructs of a strategy map combining managers’ implicit knowledge and empirical validation in a “holistic” manner. The adoption of PLS-PM is relatively new in testing the accuracy of causal maps.

Details

Management Decision, vol. 56 no. 4
Type: Research Article
ISSN: 0025-1747

Keywords

Content available
Article
Publication date: 21 June 2022

Francesco Schiavone and Daniele Leone

803

Abstract

Details

Journal of Business & Industrial Marketing, vol. 37 no. 8
Type: Research Article
ISSN: 0885-8624

Content available
Article
Publication date: 6 November 2017

Stefano Bresciani

8070

Abstract

Details

British Food Journal, vol. 119 no. 11
Type: Research Article
ISSN: 0007-070X

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