Modified total interpretive structural modelling of innovation implementation antecedents

Abstract

Purpose

The paper aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the antecedents influencing innovation implementation. The extant literature has not widely studied the interactions and inter-relationships among the antecedents of innovation implementation. To fill this gap, the paper develops a hierarchical relationship framework between the identified antecedents of innovation implementation.

Design/methodology/approach

The study follows mixed method-based approach using two methodologies: modified total interpretive structural modelling (m-TISM) and MICMAC (Matriced’ Impacts Croisés Multiplication Appliquée á un Classement) analysis. m-TISM is used for the purpose of establishing the hierarchical relationship among the antecedents. MICMAC analysis is used to study the driver-dependent relationship. To identify the antecedents of innovation implementation, the paper follows a systematic search method found in the review articles. The article search was performed across different databases including Google Scholar, Web of Science, EBSCO and Scopus.

Findings

In this study, eight innovation implementation antecedents are identified. The analysis indicates that competency antecedents such as leader competency and employee competency, having high driving and weak dependence power, are at the lowest level in the hierarchical model, whereas, innovation implementation, having high dependence and low driving power, is at the highest level in the hierarchical model. Strategic resources act as a linkage variable.

Research limitations/implications

Although this study summarizes the extant literature to generalize the findings, the future studies can focus upon statistical validation of model by employing structural equation modelling to generalize the results.

Practical implications

The practitioners must emphasize on antecedents having strong driving power for successful implementation of innovation. The hierarchical model is proposed for implementing innovation successfully that will help organizations to be more competitive, productive and profitable.

Originality/value

In this study, m-TISM and MICMAC-based hierarchical models are proposed for implementing innovation successfully in organizations. It also provides the variables insights such as driver-dependent interrelationship between the identified antecedents.

Citation

Singh, S. and Dhir, S. (2022), "Modified total interpretive structural modelling of innovation implementation antecedents", International Journal of Productivity and Performance Management, Vol. 71 No. 4, pp. 1515-1536. https://doi.org/10.1108/IJPPM-05-2020-0239