Title: Innovative behaviour forecasting: assessment of the impact of organisational intelligence factors

Authors: Azadeh Soltani; Zahra Nikkhah-Farkhani

Addresses: Department of Computer Engineering, University of Bojnord, Bojnord, Iran ' Department of Business Management, Faculty of Humanities, University of Bojnord, Bojnurd, Iran

Abstract: The emergence of innovative behaviours is always one of the most important concerns of managers, especially in knowledge organisations, in which innovative behaviours can significantly influence productivity. This study aims to investigate the effect of organisational intelligence on the innovative behaviours of knowledgeable employees in the research and development sector of active pharmaceutical companies. We collect data using a questionnaire and apply data mining methods to find the importance of each factor. The results show that the dimension of 'alignment and congruence' followed by 'appetite for change' has the highest impact on the emergence of innovative behaviours. It seems that human resource managers can play a significant role in the emergence of innovative behaviours by creating effective communication networks to form informal groups in line with the organisational goals, as well as establishing a knowledge management system to foster a culture of change acceptance.

Keywords: innovative behaviour; machine learning; support vector machine; SVM; multilayer perceptron; MLP; Shapley additive explanations; SHAP.

DOI: 10.1504/IJPQM.2026.150900

International Journal of Productivity and Quality Management, 2026 Vol.47 No.1, pp.38 - 53

Received: 19 Nov 2022
Accepted: 30 Jul 2023
Published online: 05 Jan 2026 *

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