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The purpose of this paper is to examine the behavioral outcomes and effectiveness of organizational response to open complaints by consumers following a dissatisfactory service experience.

Three natural communities (WhatsApp groups) were used with reference to online food and grocery retailing. The respondents comprised community members sharing negative experiences on the group. A scenario implanted in a survey was used as the research approach.

Consumer advocacy, a form of complaining, is a way to help other community members. The relationship between consumer advocacy and community usefulness strengthens the argument of consumers’ collective concern as one of the motivational frames for consumer advocacy. Consumer advocates show stronger reactions, resulting in brand avoidance following voice complaining. An effective organizational response can mitigate brand avoidance.

Finding ways to restrict and alleviate brand avoidance is an area that is of major interest to practitioners. The study finds that prospective explanations could be a very effective antidote to brand avoidance.

The social side of complaining is a relatively under-researched area. This study examines the relationship between consumer advocacy, community usefulness and brand avoidance. To the best of the authors’ knowledge, this is the first study to examine the moderating effect of organizational response on consumer advocacy and its outcomes in the virtual context.

In this chapter, drone and vision camera technology have been combined for monitoring the crop product quality. Three vegetable crops such as tomato, cauliflower, and eggplant are considered for quality monitoring; hence, image datasets are collected for those vegetables only. The proposed method classified the vegetables into two classes as rotten and nonrotten products so the images were collected for rotten and nonrotten products. Three different features information such as chromatic features, contour features, and texture features have been extracted from the dataset and further used to train a Gaussian kernel support vector machine algorithm for identifying the product quality. The system utilized multiple features such as chromatic, contour, and texture features in classifier training which enhances the accuracy and robustness of the system. Chromatic features were utilized for detecting the crop while other features such as contour and texture features were utilized for further classifier building to identify the crop product quality. The performance of the system is evaluated based on the true positive rate, false discovery rate, positive predictive value, and accuracy. The proposed system identified good and bad products with a 97.9% of true positive rate, 2.43 % of false discovery rate, 97.73% positive predictive value, and 95.4% of accuracy. The achieved results concluded that the results are lucrative and the proposed system is efficient in agriculture product quality monitoring.

There is a contradictive debate on factors influencing mobile phone usage awareness among scholars. This study aims to examine factors influencing mobile phone usage awareness for accessing agricultural marketing information.

A descriptive cross-sectional research design was used with 400 smallholder grape farmers. The use of structured questionnaires, focus group discussions and key informant interviews helped to collect primary data. Data analysis was subjected to descriptive, ordinal logistic regression and thematic approaches.

This study found that farmers were mostly aware of voice calls helping to access buyers and price information. Education, age and sex were the critical factors influencing mobile phone usage awareness among grape smallholder farmers.

This study contributes to scientific knowledge by providing an understanding of the perceived factors on mobile phone usage awareness within the grape subsector to inform policymakers.

Dynamism has been the key to the success and popularity of social media, and users always try to adapt to the available new changes. Continuous growth in the access and reach of social media in the past decade has enabled the users to make a calculative assessment of their social media usage. Social currency is a phenomenon that helps the customer in their evaluation of social media usage. However, this concept is still in its infancy phase, and there have been hitherto no studies to understand the influence of social currency dimensions on Indian users. This paper aims to study the dimensions of social currency for a better insight into social media usage of Indian customers.

Data were collected from 384 respondents from the biggest residential university in Varanasi through a structured questionnaire using the snowball sampling technique. Responses were taken on a seven-point Likert scale. Responses were analyzed by the factor analysis method using the maximum likelihood estimation model.

The result of this study empirically demonstrated that six dimensions, i.e. conversation, information, utility, affiliation, advocacy and identity, constitute the social currency of the user while browsing social media sites. It was also found that among the factors described above, advocacy emerged as the most influential dimension of social currency for Indian users, followed by identity and affiliation.

The findings have various managerial implications for the firms that want to have a significant social media presence. These findings can help marketers to design a tailored social media campaign for Indian users in an efficient manner by successfully incorporating the aforesaid social currency dimensions in their strategy.

This study also reflects the societal impact of the dimensions of social currency on Indian users, as any change in the usage of social media can have a long-lasting effect on the mood of the people. The influence of the social currency dimension differs significantly in the context of Indian users compared to the existing literature, as they give more value to the behavioural aspect of the social currency (advocacy, identity and affiliation), strengthening the sense of belongings among the members.

This paper highlights, for the first time, the level of influence social currency dimensions have on Indian users, as there have been hitherto no studies to understand the influence of social currency dimensions on Indian users. Another significant contribution of this research is the empirical validation of the social currency determinants. Thus, this study may contribute to the social media strategy of the firm for Indian users by incorporating the social currency dimension, as discussed in the study.

This paper presents a systematic literature review of the various aspects of reverse logistics (RL) and closed-loop supply chains (CLSC) in implementing and achieving circular economy (CE) motives. CE is identified as a method of embracing imperishability into the economic structure, helping shift from a linear to a condition leading to ecological and social benefits.

Systematic literature was used to review a total of 80 peer-reviewed articles are included in the study and covers different concepts related to the implementation of CE, such as cost-saving, network design, sustainable RL, waste management and extended producer responsibility.

The findings reveal that the research in the domain is in a growing phase, and in recent years, a lot of attention has been given by researchers across the globe. However, further research is required in crucial areas for the adoption of CE, such as retail reverse logistics, pharmaceutical industries and resource recycling industry.

The study discusses the business needs and solutions for industries. Key enablers and barriers are listed along with the main activities involved in each sector in CLSC. Managers can design a pathway to decide which lever to use to overcome a particular challenge.

The work contributes theoretically by developing research themes in RL and CLSC practices applied to CE. It also provides theoretical and practical implications of the study, which can be used as a signboard for further research.

Artificial intelligence (AI)-based human capital management (HCM) software solutions represent a potentially effective way to leverage and streamline a bank’s human resources. However, despite the attractiveness of AI-based HCM solutions to improve banks’ effectiveness, to the best of the authors’ knowledge, there are no current studies that identify critical success factors (CSFs) for adopting AI-based HCM in the banking sector. This study aims to fill this gap by investigating CSFs for adopting AI-based HCM software solutions in the banking sector.

Full consistency method methodology and technology–organization–environment, economic and human framework are used for categorizing and ranking CSFs.

The study identifies the technological and environmental dimensions as the most and least important dimensions for AI-based HCM adoption in banks. Among specific CSFs, compatible technology facilities, sufficient privacy and security and relative advantages of technology over competing technologies were identified as the most important. Implementation of AI-based HCM solutions requires significant outlays of resources, both human and financial, for banks.

The study provides bank administrators a set of objective parameters and criterion to evaluate the feasibility of adopting a particular AI-based HCM solution in banks.

The purpose of this study is to develop chicken powder (CP) incorporated fried chicken vermicelli and to evaluate the collective effect of rosemary and betel leaf extracts (RE+BE) in developed products, on the performance of storage study parameters.

Two different groups were made from developed products: the first control group without RE+BE incorporated and the second group treated with RE+BE (1:1). Various chemical, microbiological and sensory parameters of both groups were evaluated at intervals of 15 days up to 60 days of storage.

RE+BE incorporation had significantly improved (p < 0.01) the thiobarbituric acid reactive substances (TBARs), free fatty acid (FFA) and tyrosine value as compared to control. TBARs value of RE+BE treated product remained lower (0.23 ± 0.08 to 0.65 ± 0.07) than the control (0.25 ± 0.06 to 0.83 ± 0.05). Similarly, RE+BE treated product had significantly (p < 0.04) lower total plate count (TPC), Staphylococcus count (SC) and significantly (p < 0.01) lower yeast and mold count than control. Likewise RE+BE incorporation significantly (p < 0.01) improves sensory score (texture, flavor and overall acceptability except for appearance) of the product. RE+BE treated sample at the 60th day had a higher overall acceptability score (6.3 ± 0.8) than the score of control at the 45th day (6.1 ± 0.9).

A shelf-stable meat product can be made by chicken powder incorporation in the gram flour and a combination of rosemary and betel leaf extracts may be used to improve the shelf-life of meat products.

A shelf-stable meat product can be made by chicken powder incorporation in the gram flour and a combination of rosemary and betel leaf extracts may be used to improve the shelf-life of meat products.

RE+BE incorporation into chicken vermicelli improved chemical (TBARs, FFA content and Tyrosine value), microbiological (TPC, Staphylococcus count and yeast and mold count) and sensory (flavor, texture and overall acceptability) parameters of chicken vermicelli during 60-day storage.

Presented work gives comparative review of food supply chain (FSC) under various notions related to its conceptualisation, operationality and technological advancements in lieu with Industry 4.0 revolution. In Indian scenario, the impression of FSC seems in a scattered way that cannot be directly useful for an organisation, to overcome this scattering, a framework has been developed to consolidate the previous research works and exploration of new trends in food supply chain management (FSCM) in context to Indian scenario.

This article encapsulates the essence of various research articles and reports retrieved from databases of Emerald and Elsevier's Science direct, clustering the various notions related to FSC in Indian context. To visualise the one-sight view of related works, a pictorial representations have also been appended.

This article explains the general aspect of FSC and its linkage in context to Indian system. Presented work outlays both empirical and theoretical approaches trending from last 15 years. As research count in context to Indian FSC is lacking, so this work will be a road map for expedition in direction of FSCM, in era of research.

Findings and suggestion in this work can expanded in various industries related to food, helping to turn their fortune and enrichment of Indian FSC.

Food is binding word for all the commodities, and its effective supply chain management is a big boon for economy of country along with large employment generation for people directly/indirectly associated with this industry. This article covers a generalise approach from ground level framework to a level of advancement which fulfil technological aspects, future needs and upcoming trends in lieu to need of developing nation.

As limited research is done in Indian FSCM, this work to bridge this gap along with a well-defined framework which going to explore FSC. This work is going to be facilitation for researchers of this area as no major review for Indian context has not been published.