PurposeThis study aims to empirically test a comprehensive green supply chain management (GSCM) practices model. This paper incorporates green intellectual capital (GIC) and green supply chain orientation (GSCO) as antecedents to the successful implementation of GSCM practices and organizational performance as its consequence.Design/methodology/approachThis study has been conducted in the Indian food processing industry. The respondents of this study include 139 plant-level managers working in the food processing industry. The managers were contacted using a combination of personal visits, phone and mail. Structural equation modeling was performed using SPSS AMOS v26 to test the hypothesized model.FindingsThe findings of this study reveal that GIC and GSCO positively impact the implementation of GSCM practices. Further, GSCM practices improve economic and operational performance, leading to improved organizational performance.Practical implicationsThis study provides implications for managers suggesting that GSCM practices should be implemented in phases. The first phase must reflect the organization's commitment toward building GIC and the second phase must reflect managerial orientation toward implementation for GSCM practices.Originality/valueThis study adds to the existing literature by linking GIC to GSCM practices; second, this study provides a framework for implementation of GSCM practices in the food processing industry.

PurposeThe aim of this study is to empirically test the relationship between supply chain performance and organizational performance mediated by customer satisfaction.Design/methodology/approachRespondents of this study include all the supply chain stakeholders, managers working in the dairy industry, bulk milk chillers/coolers (BMCs), farmer producers, wholesalers, transporters, retailers and consumers. The final sample has 67 firms and their forward and backward linkages, taking the total sample size to 1,139. Mediation analysis was performed using SPSS AMOS v26 to analyze the impact of supply chain performance on organizational performance mediated by customer satisfaction.FindingsThe findings of this study reveal that supply chain performance positively impacts organizational performance, and customer satisfaction partially mediates the relationship between them.Research limitations/implicationsThis study provides an opportunity for future researchers to test this model in different locations and different industries, incorporating other mediating variables, such as risk, coordination, supply chain orientation etc., as antecedents and operational, economic and marketing performance as consequences.Practical implicationsThe study suggests that enhanced organizational performance requires supply chain management to be treated as a strategic function. Managers working at the processing/manufacturing level must focus on improving supply chain performance indicators through collaboration with supply chain stakeholders.Originality/valueThe present study adds to the existing literature by adopting a new supply chain performance measurement approach. The current literature has focused primarily on supply chain practices to study their impact on customer satisfaction and organizational performance. In contrast, the present study demonstrates how improvement in supply chain performance can enhance organizational performance through customer satisfaction.

This study was conducted with twin objectives of exploring the gaps between perceived service quality and expected service quality in organised and unorganised food service sector and to study the relationship between service quality and customer satisfaction in organised and unorganised food service sector. The study was conducted at Hyderabad city with a sample size of 267 respondents using systematic sampling technique. The data was collected through a structured questionnaire from organised and unorganised food joints. The results reveal that there is a gap between perceived service quality and expected service quality in organised food service sector. But in case of unorganised food service sector, there is no gap between perceived service quality and expected service quality. The service quality score is negative for organised food service sector and positive for unorganised food service sector. The study concludes that there is linear relationship between service quality and customer satisfaction. Assurance is the strongest predictor of customer satisfaction in organised food service sector while tangibles are the strongest predictor of customer satisfaction in case of unorganised food service sector.

The objective of this study is to identify extent of coordination among the supply stakeholders; measure supply chain performance and to study the impact of supply chain coordination on supply chain performance. The study is based on primary data collected from dairy supply chain stakeholders namely farmer-producers, bulk milk coolers (BMC), processing unit, wholesalers and retailers. The data was collected through combination of personal interviews, telephonic interviews and e-mail. The total sample size of this study is 420 spread across 28 firms with each firm representing a total of 15 respondents. Linear regression was performed to study the impact of supply chain coordination on supply chain performance. The results of this study reveal that supply chain coordination positively impacts all the supply chain performance metrics namely efficiency, responsiveness, flexibility and quality. Supply chain coordination has highest impact on supply chain responsiveness followed by supply chain quality, supply chain flexibility and supply chain efficiency. In case of impact of supply chain coordination on overall supply chain performance, there is an evidence of strong impact of supply chain coordination on supply chain performance.

The biggest problem for Indian farmers, which is the root cause of every other problem, is middlemen. Middlemen pay very less amount to farmers for their produce and sell it to customers for a high price. Agricultural marketing cooperative societies, which allow a group of farmers to join together and perform all the activities concerned with moving the produce from the producers to the consumers, are the ultimate tool to uplift farmers. Indian farmers hesitate to join Agricultural marketing cooperative societies despite they prefer to be exploited by the middlemen. This research work is therefore aims to find out the roots for this kind of thinking so that the policy makers/government can know exactly what is needed in order to make agricultural marketing cooperatives popular and successful among farmers, so that the conditions of farmers can be improved. In this research work with the help of multistage sampling technique Bidaraka village, from Iglas tehsil of Aligarh district, Uttar Pradesh has been selected and the data has been collected from 311 farmers in that village. This sample size was determined using appropriate formula. Furthermore, with the help of focused interview technique this study identify six variables which influence farmer’s decision to join/form agricultural marketing cooperative societies and with the help of multi linear regression model the study analysed these variables in order to find out the extent to which these identified variables are the predictors of the farmers’ willingness to join /form agricultural marketing cooperatives. Findings indicate that general and procedural knowledge, cooperation and coordination and willingness to try something new are the major factors that influence farmers’ willingness to join/form agricultural Marketing cooperatives followed by family influence, benefits in being a member and freedom in being a member.