scholarly journals INFLUENCE OF GREEN OPERATIONS STRATEGY ON PERFORMANCE OF TEA PROCESSING FIRMS IN KENYA

2019 ◽  
Vol 4 (1) ◽  
pp. 69
Author(s):  
Kennedy Kyalo Syanda ◽  
Dr. Pamela Getuno

Purpose: The study sought to establish the influence of green operations strategy on performance of tea processing firms in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population was heads of procurement and heads of finance in the 66 tea processing firms in Kenya. The study conducted a census since the number of respondents was less than 200, which is a rule of the thumb. The study combined two methods in its data collection, that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.Results: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of tea processing firms can be explained or predicted by (green product design, green distribution and transportation, green warehousing and reverse logistics) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Conclusion: The findings of the study indicated that green product design, green distribution and transportation, green warehousing and reverse logistics have a positive relationship with performance of tea processing firms.Policy recommendation: The study recommends that tea processing firms should embrace green operations strategy so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

2019 ◽  
Vol 3 (4) ◽  
pp. 80-98
Author(s):  
Kennedy Kyalo Syanda ◽  
Dr. Pamela Getuno

Purpose: The study sought to establish the influence of green operations strategy on performance of tea processing firms in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population was heads of procurement and heads of finance in the 66 tea processing firms in Kenya. The study conducted a census since the number of respondents was less than 200, which is a rule of the thumb. The study combined two methods in its data collection, that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.Results: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of tea processing firms can be explained or predicted by (green product design, green distribution and transportation, green warehousing and reverse logistics) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Conclusion: The findings of the study indicated that green product design, green distribution and transportation, green warehousing and reverse logistics have a positive relationship with performance of tea processing firms.Policy recommendation: The study recommends that tea processing firms should embrace green operations strategy so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.


2019 ◽  
Vol 3 (4) ◽  
pp. 80
Author(s):  
Kennedy Kyalo Syanda ◽  
Dr. Pamela Getuno

Purpose: The study sought to establish the influence of green operations strategy on performance of tea processing firms in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allowed an in-depth study of the subject. The target population was heads of procurement and heads of finance in the 66 tea processing firms in Kenya. The study conducted a census since the number of respondents was less than 200, which is a rule of the thumb. The study combined two methods in its data collection, that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20.Results: The independent variables reported R value of 0.846 indicating that there was perfect relationship between dependent variable and independent variables. R square value of 0.715 means that 71.5% of the corresponding variation in performance of tea processing firms can be explained or predicted by (green product design, green distribution and transportation, green warehousing and reverse logistics) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05).Conclusion: The findings of the study indicated that green product design, green distribution and transportation, green warehousing and reverse logistics have a positive relationship with performance of tea processing firms.Policy recommendation: The study recommends that tea processing firms should embrace green operations strategy so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.


2021 ◽  
Vol 6 (2) ◽  
pp. 12-30
Author(s):  
Kashveenjit Kaur

Purpose: This study is to explore the empirical analysis of green product design and institutional pressures on firm’s performances by employing from ISO14001 certified electrical and electronic manufacturing firms in Malaysia. Methodology: The study has collected the data from the Electrical and Electronics (E&E) manufacturing firms in Malaysia certified with ISO 14001 through online survey questionnaire from the FMM-MATRADE Industry Directory for Electrical and Electronics 2019/2020, the sampling frame is 177 companies and a sample size of 122 with 89 return response using convenient sampling. Findings: The results indicated that design for disassembly is necessary to produce valuable inventories from every product except of disposal whereas design for environment has slight influence on repair and disposal activities. As the evidence show that green product design, institutional pressure and reverse logistics product are inter-related, firms ought to undertake environmentally proactive approaches to generate benefits for the firm’s overall performances. Conclusion: The study concludes that the green product design, government, customers and competitors have statistically significant positive influences on reverse logistics towards firms’ performances. Recommendation: Future study should consider the inclusion of non-ISO14001 certified E&E manufacturing companies to expand the sampling frame to obtain greater generalizability of findings. Additionally, future studies ought to investigate the effect of other predictors such as liberalized return policy Unique contribution to theory, practice and policy: Since manager’s decisions and interactions take place within a social network that is affected by stakeholders, a theoretical perspective that accounts for the impact of the social climate, rather than simply the economic, rational perspective alone, is more encompassing and may better explain organizations’ behaviors.


2020 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Monicah Wanjiku Mwangi ◽  
Dr. Makori Moronge

Purpose: The purpose of the study was to assess the influence of procurement specifications development on performance of the energy sector in Kenya with an aim of making recommendations on proper use of procurement specification development practices among energy sector in Kenya.Methodology: This research study adopted a descriptive research design approach. The researcher preferred this method because it allows an in-depth study of the subject. The target population was procurement officers in the energy sector in Kenya. The study employed stratified random sampling technique in coming up with a sample size of 154 respondents from a total of 253 target population in the energy sector in Kenya.  The study combined two methods in its data collection that is, questionnaires and key informant interviews. After data collection, quantitative data was coded using Statistical Package for Social Science (SPSS) version 20. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses were used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable.Results and conclusion: The independent variables reported R value of 0.796 indicating that there was perfect relationship between dependent variable and independent variables. R-Square is a commonly used statistic to evaluate model fit. R2 is 1 minus the ratio of residual variability. The coefficient of determination also called the R2 was 0.634. R2 value of 0.634 means that 63.4% of the corresponding variation in performance of the energy sector in procurement specification development in the energy sector in Kenya can be explained or predicted by (planning and analysis, stakeholder involvement, vetting and approvals, revision and storage) which indicated that the model fitted the study data. The Findings of the Study Indicated That Planning and Analysis, Stakeholder Involvement, Vetting and Approvals and Revision and Storage Have A Positive Relationship with Performance of The Energy Sector.Unique contribution to theory, policy and practice: The study recommended that companies in the energy sector should embrace drivers of procurement specification development and further researches should to be carried out in other institutions to find out if the same results can be obtained.


2021 ◽  
Vol 13 (22) ◽  
pp. 12446
Author(s):  
Kelei Xue ◽  
Guohua Sun ◽  
Yuyan Wang ◽  
Shuiye Niu

Green product design is a vital measure to support sustainable development in a circular economy era. This paper studies the multi-product pricing and green product design strategies under different supply chain structures and government subsidy strategies. Considering different channel leadership, we establish the centralized (C), manufacturer-led (MS), and retailer-led (RS) supply chain models, respectively. By applying a game-theoretical approach, corresponding equilibrium pricing, green product design, and government subsidy decisions under different supply chain structures are obtained. Through comparison and numerical analysis, we find that: (1) the different subsidy strategies of the government have an important impact on green product development. When the government provides a uniform subsidy strategy, a RS supply chain can bring greener product, more market demands, more profit, and more social welfare; (2) when the government provides a differentiated subsidy strategy, MS and RS supply chain structures can bring greener product and more market demand than the centralized supply chain. They can also bring the same social welfare and the same product to the green design level. However, the MS supply chain structure can bring more profit for the firm; (3) the consumers’ green awareness positively impacts the design and development of green product. Therefore, it is beneficial for the firm to adopt reasonable measures to boost the environmental awareness of consumers in order to realize the sustainable development of our society.


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