Probing into the concept of ‘research for society’ to utilize as a strategy to synergize flexibility of a research institute working on eco-friendly commercial agriculture

References

• Abeysiriwardana PC, Jayasinghe-Mudalige UK. 2021a. Role of key performance indicators on agile transformation of performance management in research institutes towards innovative commercial agriculture. J Sci Technol Policy Manag.
   Web of Science ®Google Scholar
• Abeysiriwardana PC, Jayasinghe-Mudalige UK. 2021b. Role of peripheral analysis methods in adoption of successful KPIs for a research institute working towards commercial agriculture. Int J Glob Bus Compet. 16: 61–71.
   Google Scholar
• Alauddin M, Tisdell C, Sarker MAR. 2021. Do trends in Bangladeshi rice yields support Conway’s hypotheses about the consequences of modern agroecosystems? Econ Anal Policy. 71:342–354.
   Web of Science ®Google Scholar
• Avkiran NK, Ringle CM. 2018. Partial least squares structural equation modeling, recent advances in banking and finance. Cham (Switzerland): Springer.
   Google Scholar
• Beddington J. 2010. Food security: contributions from science to a new and greener revolution. Philos Trans R Soc, B. 365:61–71.
   PubMed Web of Science ®Google Scholar
• Bhavani R, Rampal P. 2020. Harnessing agriculture for achieving the SDGs on poverty and Zero Hunger. ORF Issue Brief, October.
   Google Scholar
• Cappelli P, Neumark D. 2004. External churning and internal flexibility: evidence on the functional flexibility and core-periphery hypotheses. Ind Relat (Berkeley). 43(1):148–182.
   Web of Science ®Google Scholar
• CBSL. 2020. Economic and social statistics of Sri Lanka (ESS). Colombo: Central Bank of Sri Lanka (CBSL).
   Google Scholar
• Cepeda-Carrion G, Cegarra-Navarro JG, Cillo V. 2019. Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management. J Knowl Manag. 23(1):67–89.
   Web of Science ®Google Scholar
• Coatney K, Poliak M. 2020. Cognitive decision-making algorithms, internet of things smart devices, and sustainable organizational performance in industry 4.0-based manufacturing systems. J Self-Gov Manag Econ. 8(4):9–18.
   Google Scholar
• Cunningham E. 2021. Artificial intelligence-based decision-making algorithms, sustainable organizational performance, and automated production systems in Big Data-driven smart urban economy. J Self-Gov Manag Econ. 9(1):31–41.
   Google Scholar
• Daum T. 2021. Farm robots: ecological utopia or dystopia? Trends Ecol Evol. 36(9):774–777.
   PubMed Web of Science ®Google Scholar
• DCS. 2019. Sri Lanka labour force survey annual report. Colombo: Department of Census and Statistics (DCS).
   Google Scholar
• DCS. 2020a. National accounts of Sri Lanka 1st quarter of 2020. Colombo: Department of Census and Statistics (DCS).
   Google Scholar
• DCS. 2020b. Sri Lanka labour force statistics quarterly bulletin. Colombo: Department of Census and Statistics (DCS).
   Google Scholar
• De La Lastra SFP, Martin-Alcazar F, Sanchez-Gardey G. 2014. Functional flexibility in human resource management systems: conceptualization and measurement. International Journal of Business Administration. 5(1):1–14.
   Google Scholar
• de Nardis F. 2020. Politics and society. In: Fabio De Nardis, editor. Understanding politics and society. Cham: Palgrave Macmillan; p. 1–36.
   Google Scholar
• DoA. 2019. Agstat. Peradeniya: Department of Agriculture (DoA), Sri Lanka.
   Google Scholar
• Dorgan A, Glover D, Wiggins S. 2021. Agricultural innovation for smallholders in sub-Saharan Africa. London: The Development and Economic Growth Research Programme (DEGRP).
   Google Scholar
• Elias AA. 2021. Kerala’s innovations and flexibility for Covid-19 recovery: storytelling using systems thinking. Glob J Flex Syst Manag. 22(1):33–43.
   Google Scholar
• FAO. 2019. Path to zero hunger by 2030 [Online]. Available at: http://www.fao.org/3/a-i7567e.pdf.
   Google Scholar
• FAO; IFAD; UNICEF; WFP; WHO. 2020. The state of food security and nutrition in the world 2020. transforming food systems for affordable healthy diets. Rome: FAO.
   Google Scholar
• Fernando ADN. 1980. Major ancient irrigation works of Sri Lanka. J Sri Lanka Branch R Asiat Soc. 22:1–24.
   Google Scholar
• Figueroa-García E, García-Machado J, Pérez-Bustamante Yábar D. 2018. Modeling the social factors that determine sustainable consumption behavior in the community of Madrid. Sustainability. 10:2811.
   Web of Science ®Google Scholar
• Hair J, Sarstedt M, Hopkins L, Kuppelwieser V. 2014. Partial least squares structural equation modeling (PLS-SEM): an emerging tool in business research. Eur Bus Rev. 26(2):106–121.
   Google Scholar
• Hunsaker BT, Knowles J, Baris R, Ettenson R. 2021. Great strategy considers more than customers and investors. MIT Sloan Manag Rev. 5 August.
   Google Scholar
• Ionescu L. 2021a. Corporate environmental performance, climate change mitigation, and Green innovation behavior in sustainable finance. Econ Manag Financ Mark. 16(3):94–106.
   Google Scholar
• Ionescu L. 2021b. Transitioning to a low-carbon economy: Green financial behavior, climate change mitigation, and environmental energy sustainability. Geopolit Hist Int Relat. 13(1):86–96.
   Google Scholar
• Jayasumana C, Fonseka S, Fernando A, Jayalath K, Amarasinghe M, Siribaddana S, Gunatilake S, Paranagama P. 2015. Phosphate fertilizer is a main source of arsenic in areas affected with chronic kidney disease of unknown etiology in Sri Lanka. SpringerPlus. 4:Article number 90.
   Google Scholar
• Kappas T, Bournaris T, Economou E, Moulogianni C. 2019. A systematic review on collective awareness platforms. In: M. Salampasis, T. Bournaris, editors. Information and communication technologies in modern agricultural development. Cham: Springer; p. 51–63.
   Google Scholar
• Kelley D. 2009. Adaptation and organizational connectedness in corporate radical innovation programs. J Prod Innov Manage. 26(5):487–501.
   Web of Science ®Google Scholar
• Kelliher C, Riley M. 2003. Beyond efficiency: some by-products of functional flexibility. Serv Ind J. 23(4):98–113.
   Web of Science ®Google Scholar
• Kitinoja L, Saran S, Roy SK, Kader AA. 2011. Postharvest technology for developing countries: challenges and opportunities in research, outreach and advocacy. J Sci Food Agric. 91(4):597–603.
   PubMed Web of Science ®Google Scholar
• Klerkxa L, Rose D. 2020. Dealing with the game-changing technologies of agriculture 4.0: how do we manage diversity and responsibility in food system transition pathways? Glob Food Sec. 24:1–7.
   Google Scholar
• Kovacova M, Lazaroiu G. 2021. Sustainable organizational performance, cyber-physical production networks, and deep learning-assisted smart process planning in industry 4.0-based manufacturing systems. Econ Manag Financ Mark. 16(3):41–54.
   Google Scholar
• Kulasooriya A. 2021. Utilization of soil microbial diversity for crop production in Sri Lanka. FAO.
   Google Scholar
• Lampach N, To-The N, Nguyen-Anh T. 2021. Technical efficiency and the adoption of multiple agricultural technologies in the mountainous areas of Northern Vietnam. Land Use Policy. 103:105289.
   Web of Science ®Google Scholar
• Lee K, Yoo J. 2019. How does open innovation lead competitive advantage? A dynamic capability view perspective. PLoS ONE. 14(11):1–18.
   Web of Science ®Google Scholar
• Lukovics M, Udvari B, Nadas N, Fisher E. 2019. Raising awareness of researchers-in-the-making toward responsible research and innovation. J Knowl Econ. 10:1558–1577.
   Web of Science ®Google Scholar
• Mahaliyanaarachchi RP, Bandara RMAS. 2010. Commercialization of agriculture and role of agricultural extension. Sabaragamuwa Univ J. 6(1):13–22.
   Google Scholar
• May AYC, Hao GS, Carter S. 2021. Intertwining corporate social responsibility, employee Green behavior, and environmental sustainability: the mediation effect of organizational trust and organizational identity. Econ Manag Financ Mark. 16(2):32–61.
   Google Scholar
• Medialdea JT, Prieto Ruiz JA, Fagoaga García C, Calvo Capilla A, Chirivella Martorell J, Bueso Rodenas J. 2018. Potential of science to address the hunger issue: ecology, biotechnology, cattle breeding and the large pantry of the sea. J Innov Knowl. 3(2):82–89.
   Web of Science ®Google Scholar
• Mendez-Picazoa M-T, Galindo-Martínb M-A, Castano-Martínezc M-S. 2021. Effects of sociocultural and economic factors on social entrepreneurship and sustainable development. J Innov Knowl. 6(2):69–77.
   Web of Science ®Google Scholar
• Micevski M, Dewsnap B, Cadogan JW, Kadic-Maglajiic S, Boso N. 2016. Performance implications of the interplay between sales intra-functional flexibility, customer orientation and role ambiguity. In: Mark D. Groza, Charles B. Ragland, editors. Marketing challenges in a turbulent business environment. Cham: Springer; p. 67–72.
   Google Scholar
• Miller K. 2021. Is the robot-filled future of farming a Nightmare or Utopia? WIRED, August.
   Google Scholar
• MoA. 2021. Media breafing on fertilizer [Online]. Available at: http://www.agrimin.gov.lk/web/index.php/en/news-and-events/1492-2021-02-02.
   Google Scholar
• MOF. 2020. National policy framework vistas of prosperity and splendour. Colombo: Ministry of Finance (MOF).
   Google Scholar
• Momaya KS, Bhat S, Lalwani L. 2017. Institutional growth and industrial competitiveness: exploring the role of strategic flexibility taking the case of select institutes in India. Glob J Flex Syst Manag. 18(2):111–122.
   Google Scholar
• Nagahawatta R. 2021. Engineering approach to make the bio fertilizer use a reality. In: Suran Fernando, Chamil Edirimuni, Chamila Priyantha, editors. The official E-newsletter of the institution of engineers Sri Lanka. Colombo: The Institution of Engineers. 55.
   Google Scholar
• NSW. 2018. Rice growing guide 2018. NSW Department of Primary Industries.
   Google Scholar
• Pérez-Giménez J, Mongiardini EJ, Julia Althabegoiti M, Covelli J, Ignacio Quelas J, López-García SL, Lodeiro AR. 2009. Soybean lectin enhances biofilm formation by Bradyrhizobium japonicum in the absence of plants. Int J Microbiol. 2009:1–8.
   Google Scholar
• Perrini F, Vurro C. 2006. Social entrepreneurship: innovation and social change across theory and practice. In: Johanna Mair, Jeffrey Robinson, Kai Hockerts, editors. Social entrepreneurship. London: Palgrave Macmillan; p. 57–85.
   Google Scholar
• Rahmann G, Reza Ardakani M, Bàrberi P, Boehm H, Canali S, Chander M, David W, Dengel L, Erisman JW, Galvis-Martinez AC, et al. 2017. Organic agriculture 3.0 is innovation with research. Org Agric. 7:169–197.
   Google Scholar
• Sarstedt M, Ringle CM, Smith D, Reams R, Hair JF. 2014. Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. J Fam Bus Strategy. 5(1):105–115.
   Web of Science ®Google Scholar
• Seneviratne G, Jayasekara A, De Silva M, Abeysekera U. 2011. Developed microbial biofilms can restore deteriorated conventional agricultural soils. Soil Biol Biochem. 43(5):1059–1062.
   Web of Science ®Google Scholar
• Sharp J, Smith M. 2003. Social capital and farming at the rural–urban interface: the importance of nonfarmer and farmer relations. Agric Sys. 76(3):913–927.
   Web of Science ®Google Scholar
• Silva MSDLD, et al. 2014. Soil fertility improvement through biofilmed biofertilizers: potential for field applications in tea cultivation. Sri Lanka J Tea Sc. 79(1/2):46–61.
   Google Scholar
• Singh R, Acharya P. 2013. Supply chain flexibility: a frame work of research dimensions. Glob J Flex Syst Manag. 14:157–166.
   Google Scholar
• SLCARP. 2021. Organic_agriculture [Online]. Available at: http://www.slcarp.lk/organic_agriculture/.
   Google Scholar
• Stanca L, Dabija D, Pacurar E. 2022. Community of practice: converting IT graduate students into specialists via professional knowledge sharing. Kybernetes. 51(2):557–581.
   Web of Science ®Google Scholar
• Subedi M, Hocking TJ, Fullen MA, McCrea AR, Milne E, WU B-z, Mitchell DJ. 2009. An awareness-adoption matrix for strategic decision making in agricultural development projects: a case study in Yunnan province, China. Agric Sci China. 8(9):1112–1119.
   Google Scholar
• Suler P, Palmer L, Bilan S. 2021. Internet of things sensing networks, digitized mass production, and sustainable organizational performance in cyber-physical system-based smart factories. J Self-Gov Manag Econ. 9(2):42–51.
   Google Scholar
• Suresh K, Wilson C, Khanal U, Managi S, Santhirakumar S. 2021. How productive are rice farmers in Sri Lanka? The impact of resource accessibility, seed sources and varietal diversification. Heliyon. 7(6):e07398.
   PubMed Web of Science ®Google Scholar
• Valverde M, Tregaskis O, Brewster C. 2000. Labor flexibility and firm performance. Int Adv Econ Res. 6:649–661.
   Google Scholar
• Weerahewa J, Kodithuwakku SS, Ariyawardana A. 2018. The fertilizer subsidy program in Sri Lanka. In: Food policy for developing countries: case studies. Ithaca/New York: Cornell University.
   Google Scholar