Intelligently driven performance management

An enabler of real-time research forecasting for innovative commercial agriculture

Bibliographic Data

ID22229605
AuthorsPrabath Chaminda Abeysiriwardana (0000-0003-0300-2020, Ministry of Education Science and Technology, corresponding author), U K Jayasinghe-Mudalige (0000-0002-1806-6273, Wayamba University of Sri Lanka), Saluka R Kodituwakku (0000-0002-8361-5689, University of Peradeniya), K B Madhushani (0000-0003-0198-8789, Wayamba University of Sri Lanka)
Year2022
Volume2
Issue9
Pages168-168
Publication date2022-08-22
Open AccessYes
TypeARTICLE
VenueSN Social Sciences (JOURNAL)
Journal identifiersISSN: 2662-9283 • E-ISSN: 2662-9283
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s43545-022-00484-8
PMID36033638
OpenAlexW4292978813
LanguageEN
Citations received1
References cited48

Research in commercial agriculture is instrumental to achieve the targets set under the second Sustainable Development Goal (SDG), i.e., 'Zero Hunger by 2030.' Execution of research for the success of commercial agriculture becomes a tedious task and research organizations have been long struggling to assess their performance unequivocally in the face of COVID-19. Any evacuation plan in place to improve the performance, monitoring, and evaluation of a research institute must guarantee that the institute is on the right momentum and let it evades metrics-obsessed research drives during this pandemic. A survey was conducted through the participation of the topmost administrators attached to key research institutes working on agriculture in Sri Lanka to explore the current performance management practices deeply. The conclusions derived from a thematic analysis of the survey data were used to propose a set of solutions that facilitate a well-thought research agenda in a digitally transformed performance management system. The solutions imply that intelligently driven key performance measurements worked by artificial intelligence and big data could be used with policy innovations to support research integrity and assessment security within the coexistence of humans and machines for the well-being of research development in the commercial agriculture sector.

Agriculture · Business · Enabling · Engineering management · Knowledge management · Process management · Agricultural Innovations and Practices · Computer Science · COVID-19 Pandemic Impacts · Engineering · Smart Agriculture and AI

Tools

Open DOIOpen Access