Modeling cold supply chain environment of organized farm products retailing in India

Shashi, Shashi; Singh, Rajwinder

doi:10.5267/j.uscm.2015.4.004

Cited by 7 publications

(7 citation statements)

References 41 publications

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“…Then, various preliminary statistical tests were applied to derive the results. First, the missing data were substituted with arithmetic mean, as suggested by Byrne (2013) and Shashi and Singh (2015) . Further, the data were checked to detect the existence of common method bias (CMB).…”

Section: Analysis and Resultsmentioning

confidence: 99%

Consumers’ coping strategies when they feel negative emotions in the face of forced deconsumption during the Covid-19 pandemic lockdowns

et al. 2022

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IntroductionThis paper explores consumers’ coping strategies when they feel negative emotions due to forced deconsumption during the Covid-19 pandemic lockdowns.MethodsThe tool used for data collection is the questionnaire. It was made using the LimeSurvey software. A total of 621 complete observations were analyzed.ResultsThe findings demonstrate that anger positively influences the activation of seeking social support, mental disengagement, and confrontive coping strategies. Besides, disappointment activates mental disengagement but only marginally confrontive coping and not behavioral disengagement. Furthermore, regret is positively related to confrontive coping, behavioral disengagement, acceptance, and positive reinterpretation. Finally, worry positively impacts behavioral disengagement, self-control, seeking social support, mental disengagement, and planful problem-solving.DiscussionThe study’s originality lies in its investigation of consumers’ coping strategies when experiencing negative emotions due to forced deconsumption in the context of the Covid-19 pandemic.

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Section: Analysis and Resultsmentioning

confidence: 99%

Consumers’ coping strategies when they feel negative emotions in the face of forced deconsumption during the Covid-19 pandemic lockdowns

et al. 2022

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“…According to Cochran (1977), when the total population is unknown, the researcher should use snowball sampling. The snowball sampling method is a part of non‐probability sampling techniques which is commonly used to identify one or more required respondents in the hidden populations (Browne, 2007; Shashi & Singh, 2015). Based on this literature, the snowball sampling method was used for the sample selection out of the total population.…”

Section: Methodsmentioning

confidence: 99%

Corporate social responsibility and behavioral intentions: A mediating mechanism of Brand Recognition

Singh

Kathuria

Puri

et al. 2023

Corp Soc Responsibility Env

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In recent years, corporate social responsibility (CSR) has attracted a lot of attention from academics and businesspeople as an essential part of any company's ability to thrive. Many research papers had published focusing on CSR. However, very few studies examine CSR's multidimensions (economic, philanthropic, environmental, and ethical) on behavioral intentions with the mediating impact of brand recognition. To explore customer's hotel experiences, the proposed hypotheses were tested with a Structural equation model. Results show that all forms of CSR (ethical, economic, environmental, philanthropic) positively relate to the hotel's brand recognition and behavioral intentions (revisit intention, making recommendations, willingness to pay more). The link between CSR and behavioral intention is found to be significantly mediated by brand recognition. Because of this, the current study has developed a theoretical framework to explain the interplay among CSR factors, brand recognition, and consumer behavioral intention. By checking CSR activities' impact as a focal factor in enhancing hospitality industry facilities, this study offers empirical implications for hotels.behavioral intentions, brand recognition, corporate responsibility, corporate image | INTRODUCTIONHospitality is a very ancient tradition in India. Among the world's other very diversified nations is India, which provides visitors with various low-cost recreation options that include heritage, cultural and natural attractions (Gupta, 2017). Several studies have found that guests often chastise hotels for using disproportionate quantities of numerous natural resources, such as food, electricity, and water, to offer the best

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“…Moreover, some literature studies the methodological review of online companies from the perspective of e-procurement and e-supply Chain (Piera et al , 2014) and cold supply chain environment (Shashi and Singh, 2015). Specifically, Piera et al (2014) points out that automation of procedures for the purchase through e-procurement technology enables companies to achieve a reduction in costs (average 8%–12%) of total purchases.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling offline expansion strategies of online companies

Liu

2021

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Purpose This paper aims to theoretically investigate an online company’s optimal decision on its offline expansion strategy. In the past five years, many large online retailers and internet-based companies such as Amazon, Google, Alibaba, Tencent and JD.com have expanded their offline market but it was observed that they adopted different expansion strategies. Specifically, some of them expand the offline market by acquiring offline retailers, while some do so by purchasing a portion of offline retailer’s stake. This difference leads to a quite different structure in post-expansion market, having an impact on profit, consumer surplus and social welfare. The goal of this paper is to model such expansion strategies in a general way and complete studies on profits and welfare. Design/methodology/approach By constructing a Salop model with two offline retailers and one online company, this paper analyzes the case where the online company can expand its offline market by either acquiring or jointing (e.g. stakeholding) with one offline retailer. The former strategy (named Strategy A) allows the online company to fully control and capture residual claims of the offline retailer. With the adoption of the latter strategy (named Strategy C), on the other hand, the online company can obtain a fixed proportion of its offline partner’s quasi rent. In the price competition, the online company chooses its optimal offline expansion strategy by predicting its profit in the post-expansion market. Findings This paper found that the equilibrium crucially depends on the synergy effect due to online–offline integration, and such synergy also influences both consumer and social welfare. This study shows the various conditions on the synergy that affect an online company moves toward offline markets. Accordingly, this finding can assist online companies with or without retailing business to choose an optimal strategy when expanding offline markets. Moreover, by doing some necessary welfare analysis, this study shows that the online company’s offline expansion is not always benefiting consumers nor be socially desirable, which may shed some lights on the possible competition policy in the case where online companies practice in offline expansion. Originality/value Different from conventional wisdom in online-offline integration, the theory indicates that the offline expectation of online company may not always benefit consumers nor be socially desirable. Moreover, the findings also shed some lights on the possible competition policy in the case where online companies practice in offline expansion.

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Modeling cold supply chain environment of organized farm products retailing in India

Cited by 7 publications

References 41 publications

Consumers’ coping strategies when they feel negative emotions in the face of forced deconsumption during the Covid-19 pandemic lockdowns

Consumers’ coping strategies when they feel negative emotions in the face of forced deconsumption during the Covid-19 pandemic lockdowns

Corporate social responsibility and behavioral intentions: A mediating mechanism of Brand Recognition

Modelling offline expansion strategies of online companies

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