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Asian Journal of Scientific Research
Year: 2017  |  Volume: 10  |  Issue: 4  |  Page No.: 323 - 335

Adoption of Research Based Practices in Business Institutions: A Cluster Analysis

Nazish Baladi, Arabella Bhutto, Pir Roshan Shah Rashdi and Qazi Muhammad Moinuddin Abro    

Abstract: Background and Objective: Research is the basic component that facilitates the creation of new knowledge, emergence of new ideas and experimentation of new tools, techniques and methods. Pakistan’s Higher education institutions are continuously struggling to improve their research capacities to compete globally. The objective of this study is to explore the research related practices, adopted by various business institutions globally and find the adoption of these practices in the 5 business institutions in Sindh through structured questionnaire using five point Likert scale. Materials and Methods: Based on similarity of the practices, groups are formed known as criteria and the homogeneity and the heterogeneity of research base practices are analyzed through cluster analysis. Literature reveals various practices to explore this research. This paper selects fifty practices adopted by various business institutions in Sindh. The adoptability of research based practices is analysed through frequency tables. Results: Finding reveals that based on similarity these fifty practices are grouped into nine criteria: Registered patents, University industrial linkages, research grants, travel grants, publication and published papers, PhD output, H-Index, conferences and internet bandwidth (PERN) utilization which has high association with HEC. Frequency tables show that patent and university industrial linkages criteria related practices are very less adopted in the business institutions however practices in respect to conferences, publication, internet bandwidth (PERN) utilization and PhD output are more adopted. Conclusion: Dendrogram shows that three cluster are individually developed in patent, university industry linkages, travel grant, PhD output and two clusters are individually developed in research grants, publication and published journals, H-Index, internet bandwidth (PERN) utilization and conferences. These clusters are similar with themselves and different from others.

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