A Conceptual Model for Managing Supply Networks for Simultaneous Optimisation in aComplex Adaptive Environment:A Case Study of the Floriculture Industryin Kenya

Abstract

This paper is based on research findings and results to develop a conceptual model for managing supply networks for simultaneous optimisation. The target population of the study was all active flower
exporters, information which was obtained from Horticultural Crops Development Authority. The study was a blend of both quantitative and qualitative research techniques. Phase one of the study made use of qualitative research methods through interviews with industry stakeholders and regulatory bodies. Phase two of the study made use of quantitative approach in which population sampling technique was
used. Data analysis for the qualitative research process made use of content analysis. The quantitative phase of the research process was done using statistical techniques in which factor analysis was used to develop a revised conceptual model for managing supply networks for simultaneous optimisation, end to end and within country. The paper concludes by identifying a set of issues that needs to be addressed by both the Kenyan government and flower firms. These issues includes but are not limited to: developing consensus over a complex adaptive system and a complex adaptive environment with regard to the flower industry in Kenya; identifying the characteristics of a complex adaptive systems; and establishing methods of managing complex adaptive systems with reference to the flower industry. The findings and results of the study points at: financing; key success factors (supply value chain); country specific benefits; transport; research and development as positively influencing the performance of the floriculture industry in Kenya.