Role of Peripheral Analysis Methods in Adoption of Successful KPIs for a Research Institute Working Towards Commercial Agriculture

Prabath Chaminda Abeysiriwardana () and Udith K. Jayasinghe-Mudalige ()
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Prabath Chaminda Abeysiriwardana: Wayamba University of Sri Lanka
Udith K. Jayasinghe-Mudalige: Wayamba University of Sri Lanka

International Journal of Global Business and Competitiveness, 2021, vol. 16, issue 1, No 6, 71 pages

Abstract: Abstract The outcome of the performance measurement would be more convergent at decision making if KPIs are tightly bound with organization culture along with organizational design. Peripheral analysis methodologies which are taken into the lens before the performance management have a major role in understanding the organizational culture and dynamism behind the organizational design to identify strengths, weaknesses, and opportunities in a research institute's work for commercial agriculture development. The lack of a proper analyzing system to understand the critical success factors of a research institute towards innovative commercial agriculture has hampered the establishment of a good performance management system in research institutes towards this end. In this context, we highlight the most important avenues that could significantly improve the quality of performance, if used properly in the management of a research institute's work for commercial agriculture. How those management practices and tools could be streamlined by introducing new guidelines and policies in organization design have been elaborated. Further, it will provide an in-depth review of the most suitable peripheral analysis methodologies in place of the proposed structured procedure, to facilitate the selection process of obtaining an optimized KPI set. This KPI set, placed properly in the organization design, will direct performance drivers of a research institute to be on par with the competitiveness of the agriculture industry of a country.

Keywords: Commercial agriculture; Research institutes; Organization analysis; Performance management; KPI (search for similar items in EconPapers)
JEL-codes: O13 O21 O32 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s42943-021-00021-z

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