Reverse Logistics and Performance of Plastic Bottling Firms in Mombasa County, Kenya

Naima Kuno, Wycliffe Arani
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Abstract

Purpose: The purpose of this study was to determine the relationship between reverse logistics and the performance of plastic bottling firms in Mombasa County, Kenya. Methodology: Cross-sectional research design was employed in the study. The study considered all 27 plastic bottling firms registered by Mombasa County Department of Trade. Stratified random sampling techniques was used to select sample size and Slovin’s formula was adopted to get the sample size for the study. Primary data was collected by use of structured questionnaires. Collected data was analyzed by employing descriptive and inferential statistics as the data analysis techniques. Descriptive statistics gives the profile of the respondents, that is, the frequencies and their percentages; whereas inferential statistics adopts a hierarchical, moderated, multiple regression analysis model in order to determine the effect of the explanatory variable. Statistical Package for Social Science was used as the data analysis tool. Data was presented in frequency and descriptive tables. Findings: The study established that there is a correlation of 0.748 between reverse logistics and performance of plastic bottling firms in Mombasa County. Reverse logistics accounted for 56.0% of the variation in the performance of plastic bottling firms in Mombasa County. Unique Contribution to Theory, Practice and Policy: Systems theory was adopted and validated. By incorporating linking the entire supply chain, Systems theory could assist plastic bottling firms in developing a seamless sustainable reverse logistics. The study revealed that successfully implementing reverse logistics; minimize unnecessary costs, protect the environment and increase firm returns.
肯尼亚蒙巴萨县塑料瓶装企业的逆向物流与绩效
目的:本研究旨在确定逆向物流与肯尼亚蒙巴萨县塑料瓶装企业绩效之间的关系。研究方法:研究采用横断面研究设计。研究考虑了蒙巴萨县贸易部注册的所有 27 家塑料瓶装企业。研究采用了分层随机抽样技术来选择样本量,并采用斯洛文公式来计算样本量。通过结构化问卷收集原始数据。收集到的数据采用描述性统计和推论性统计作为数据分析技术。描述性统计给出了受访者的概况,即频率及其百分比;而推论性统计则采用了分层、调节、多元回归分析模型,以确定解释变量的影响。数据分析工具是社会科学统计软件包。数据以频率表和描述性表格的形式呈现。研究结果研究发现,蒙巴萨县塑料瓶装企业的逆向物流与绩效之间存在 0.748 的相关性。逆向物流占蒙巴萨县塑料瓶装企业绩效差异的 56.0%。对理论、实践和政策的独特贡献:采用并验证了系统理论。通过将整个供应链联系起来,系统理论可以帮助塑料瓶装企业发展无缝的可持续逆向物流。研究表明,成功实施逆向物流可最大限度地减少不必要的成本、保护环境并增加企业回报。
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