No abstract

The purpose of this study is to investigate the effects of capacity building and managers’ support on employee performance in the textile industry. Moreover, this article also investigates the moderating effect exerted by employee retention on the effects of capacity building and managers’ support on employee performance. Data were collected through a convenience sampling technique. A self-administered questionnaire survey was conducted for data collection. Two hundred copies of questionnaires were distributed, and data were collected from the lower to middle-level employees who are working in the textile sector of Pakistan. SPSS 23 and SmartPLS-3 software were used for analysis. The results indicate that capacity building has a positive and significant impact on employee performance. In contrast, managerial support has an insignificant impact on employees’ performance. However, the impact of capacity building and managerial support on employee performance is positive and significantly moderated by employee retention. The results of this study will motivate owners/policymakers to invest in capacity building to enhance their organizational performance/productivity.

Abstract:Purpose: The incorporation of environmental objective into the conventional supplier selection practices is crucial for corporations seeking to promote green supply chain management (GSCM).Challenges and risks associated with green supplier selection have been broadly recognized by procurement and supplier management professionals. This paper aims to solve a Tetra "S" (SSSS) problem based on a fuzzy multi-objective optimization with genetic algorithm in a holistic supply chain environment. In this empirical study, a mathematical model with fuzzy coefficients is considered for sustainable strategic supplier selection (SSSS) problem and a corresponding model is developed to tackle this problem.Design/methodology/approach: Sustainable strategic supplier selection (SSSS) decisions are typically multi-objectives in nature and it is an important part of green production and supply chain management for many firms. The proposed uncertain model is transferred into deterministic model by applying the expected value measure (EVM) and genetic algorithm with -188-Journal of Industrial Engineering and Management -https://doi.org/10.3926/jiem.2078 weighted sum approach for solving the multi-objective problem. This research focus on a multiobjective optimization model for minimizing lean cost, maximizing sustainable service and greener product quality level. Finally, a mathematical case of textile sector is presented to exemplify the effectiveness of the proposed model with a sensitivity analysis.Findings: This study makes a certain contribution by introducing the Tetra 'S' concept in both the theoretical and practical research related to multi-objective optimization as well as in the study of sustainable strategic supplier selection (SSSS) under uncertain environment. Our results suggest that decision makers tend to select strategic supplier first then enhance the sustainability. Research limitations/implications:Although the fuzzy expected value model (EVM) with fuzzy coefficients constructed in present research should be helpful for solving real world problems. A detailed comparative analysis by using other algorithms is necessary for solving similar problems of agriculture, pharmaceutical, chemicals and services sectors in future. Practical implications:It can help the decision makers for ordering to different supplier for managing supply chain performance in efficient and effective manner. From the procurement and engineering perspectives, minimizing cost, sustaining the quality level and meeting production time line is the main consideration for selecting the supplier. Empirically, this can facilitate engineers to reduce production costs and at the same time improve the product quality. Originality/value:In this paper, we developed a novel multi-objective programming model based on genetic algorithm to select sustainable strategic supplier (SSSS) under fuzzy environment. The algorithm was tested and applied to solve a real case of textile sector in Pakistan. The experimental results and comparative sensitivity an...

No abstract

This research explores the effect of financial literacy and risk tolerance on decisions making for investment by men andwomen in the textile sector of Pakistan. It examines the role of risk tolerance as mediator in relation between financialliteracy and individual’s investment decision making. It also examines the moderating effect of gender differencebetween financial literacy and risk tolerance. Collection of research data was done from the 300 respondents in thetextile sector of Faisalabad through the self-administered questionnaire by using convenient sampling. This researchwork represented the facts that financial literacy has a positive and significant relationship with risk tolerance, andinvestment decisions are significantly influenced by it. Risk tolerance has a positive and insignificant impact oninvestment decisions.In contrast, the mediation role of risk tolerance is insignificant between the financial literacy level of individuals anddecisions made by them for investment. The purpose of a moderator as gender differences is significant. This studyempowers managers to provide basics financial services to employees. Management might be guided that what shouldbe highlighted and what has to be improved to enhance the financial literacy level of textile workers. Employers can playa vital role in building awareness and to educate their employees on fiscal wellness, investment planning, andretirement. Financial literacy can also help employees to achieve commercial success, and it is fruitful in providingbenefit plans at work and in their financial affairs