Resource orchestration in Indian ethnic entrepreneurial enterprises through generation change in Malaysia

Jesrina Ann Xavier, Md Imtiaz Mostafiz, Ganeshsree Selvachandran and Shio Gai Quek

Technological Forecasting and Social Change, 2024, vol. 198, issue C

Abstract: Ethnic entrepreneurial enterprises are continuously evolving, especially when generations change. As these changes take place, resources are also orchestrated differently. However, research gap exists on how resources are orchestrated in ethnic entrepreneurial enterprises through generational change. We answer this question by adopting a qualitative approach based on data from eleven ethnic entrepreneurial enterprises that have experienced generational succession. The data was then analysed by adopting a novel approach of artificial intelligence. Our results suggest that the orchestration in class and ethnic resources has equipped the later generation ethnic entrepreneurs with capabilities to expand and develop their ethnic entrepreneurial enterprises. We emphasize the importance of orchestrating resources in ethnic entrepreneurial enterprises for product innovation, market growth and business development as generations change. The use of artificial intelligence technique enables underlying patterns in ethnic entrepreneurship to be discovered, which assist practitioners in making the best decisions concerning entrepreneurial efforts. This study invites entrepreneurs to comprehend the importance of orchestrating resources for entrepreneurial decision-making in business expansion and development, especially in ethnic entrepreneurial enterprises. With novelty in the methodological application, we extend a cordial invitation to erudite scholars to apply artificial intelligence technique within qualitative research to achieve precision and nuances.

Keywords: Resource orchestration; Ethnic entrepreneurial enterprise; Generation change; Artificial intelligence, machine learning (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:198:y:2024:i:c:s0040162523006819

DOI: 10.1016/j.techfore.2023.122996

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