Interactive impacts of overconfidence and fairness concern on supply chain performance

Zhang, Z.J.; Wang, P.; Wan, Miyu; Guo, Jiale; Luo, Chunlin

doi:10.14743/apem2020.3.365

Cited by 6 publications

(8 citation statements)

References 18 publications

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“…Results show that IF, PF and SC are significant to the ER based on the hypotheses ( H2a , H2b and H2c ). Our findings are consistent with Konovsky (2000) and Zhang et al (2020). As mentioned in previous studies, the fairness dimension is associated with the seller's policy, which emphasises pre- and post-purchase support, including access, friendly interaction, communication support service and procedural and documentation compliance.…”

Section: Discussionsupporting

confidence: 91%

“…As elaborated in Section 2.1, this study believes the importance of fair resource distribution and the consequences of exchange relationships from the “giver” side of justice are the only actors that might affect the connection between sharing returns and each party's actual commitment and obligation. Fairness as the common rule of distributive justice can only be provided by the “provider” of justice (Zhang et al , 2020) rather than a recipient of justice to produce fruitful implications towards effective product return concerning the halal supply chain. Fulfilling this dimension by the business organisation (provider of justice) might prevent the consumer’s resentment (the receivers) and other negative consequences such as disruption of current exchanges, the jeopardy in adaptation and a decline in commitment, all of which lead to the relationship's eventual demise.…”

Section: Methodsmentioning

confidence: 99%

“…Based on the previous argument, fairness is essentially a significant social preference, which indicates that decision-makers (sellers) consider the ultimate end of individual commercial partnerships and the relationship outcome of the distribution channel (Zhang et al , 2020). Relationships between buyers (receivers of justice) and sellers (givers of justice) provide social elements that influence attitudinal and behavioural reactions in addition to economic transactions (Huang et al , 2020; Zhou et al , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

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Supply chain integration and halal frozen meat product returns

Fernando

Jasmi

Wahyuni-TD

et al. 2022

JIMA

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Purpose Halal frozen meat product returns are major challenges in the halal frozen meat supply chain because of the sheer volume and processing costs of returns. The purpose of this paper is to investigate the effect of integrated halal supply chain (IHSC) strategies on effective product returns with halal logistics (HL) as an interceding variable. Design/methodology/approach This paper used the cross-sectional technique to select samples from a population that revolved around the halal food industry in Malaysia. Data collected from halal service providers who handle halal frozen meat product returns provided insightful findings. Findings The findings of this paper indicate that the IHSC dimensions, such as interactive fairness, procedural fairness and service coverage, are positively associated with effective product returns. It also shows that HL plays a mediating role between the IHSC and effective product returns. Practical implications From a practical viewpoint, this paper suggests that an effective return service system can be designed to emphasise the category of interactive and flexible justice services through refunds or product replacement, depending on customer's demand. Originality/value The result of this paper provides insights into how logistics service provider managers effectively and efficiently handle the halal supply chain network when involving product returns.

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Section: Discussionsupporting

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Supply chain integration and halal frozen meat product returns

Fernando

Jasmi

Wahyuni-TD

et al. 2022

JIMA

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“…irdly, some discuss the interaction of fairness concerns and other behavioral factors. For example, Zhang et al [58] analyzed the interactive effect between fairness concerns and overconfidence, and Huang et al [59] probed how fairness concerns interacted with risk aversion.…”

Section: Fairness Concerns In Supplymentioning

confidence: 99%

Operational Strategy for Low‐Carbon Supply Chain under Asymmetric Information of Fairness Concerns

Wei

Qin

et al. 2022

Discrete Dynamics in Nature and Society

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Carbon emission reduction has become a common hot topic around the world. Although the previous literature has proven that the asymmetric information and fairness concerns would influence the operational strategy for low-carbon supply chain, it hardly touched the asymmetric information of fairness concerns, which contradicted practical observations and experimental evidence. Incorporating the asymmetric information of fairness concerns, this paper investigates a low-carbon supply chain consisting of a manufacturer and a retailer with discrete types including selfish S-type and fairness-concerned F-type. The manufacturer can observe and thereby know the behavioral type of the retailer in the scenario of symmetric information, while it cannot in the scenario of asymmetric information. In the approach of game theory, the optimal carbon emission reducing strategy and pricing strategy in the symmetric scenario and asymmetric scenario are achieved successively. By comparing the above two scenarios, the impacts stemming from the asymmetric information of fairness concerns at the individual level and systematic level are analyzed, respectively. A case study is offered before concluding some implications for the supply chain management. The findings include the following: Firstly, the asymmetric information of fairness concerns enhances the carbon emission reduction significantly. Although the fairness concerns alone decrease the carbon emission reduction, the asymmetric information increases with the dominating power. Secondly, the asymmetric information of fairness concerns raises the wholesale price and retail price dramatically. Although the impact of either fairness concerns or asymmetric information randomly changes with the behavioral type and information structure, their interactive impacts are stable and change smoothly. Thirdly, the asymmetric information of fairness concerns promotes a fairer profit distribution, while either fairness concerns or asymmetric information alone hardly changes the overall profit of the low-carbon supply chain.

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“…In the supply chain of agricultural products, production is often affected by weather, the environment, and human factors and is exposed to uncertainty risks, which significantly affect the production and operation activities of farmers [1,2]. In the face of uncertain yield risks, different farmers may show different behavioural preferences, such as risk aversion [3], fairness concerns [4], stockout aversion (SA), waste aversion (WA), or stockout and waste aversion (SW) preferences [5]. Additionally, owing to the long production cycle and recovery cost time of agricultural products, farmers face financial pressure and usually adopt a specific financing mode to solve financial constraints, such as bank loans, advance payments, trade credits, and internal financing.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Financing Decisions with Behavioural Preferences and Yield Uncertainty

Wang¹,

ZHENG²,

Yin³

et al. 2022

Int. j. simul. model.

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We consider a two-level supply chain comprising a retailer and capital-constrained farmer, with three cases of behavioural preferences: stockout aversion (SA), waste aversion (WA), and stockout and waste aversion (SW); the farmer can solve financial constraints through bank loans and internal financing. We analyse the financing decision simulation of the farmer in a yield uncertain environment. The results show thatregardless of the preferences of the farmerthe largest expected utility and production input of the farmer and the expected profit and order quantity of the retailer are those under internal financing, followed by bank loans and non-financing. Finally, we analyse the influence of the farmer's SA and WA on the expected utility (profit) and decision-making of supply chain members by numerical simulation. Most supply chain studies do not factor in the high risk faced by farmers. Our study provides data on various option outcomes for those advising farmers facing difficult financing decisions.

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Interactive impacts of overconfidence and fairness concern on supply chain performance

Cited by 6 publications

References 18 publications

Supply chain integration and halal frozen meat product returns

Supply chain integration and halal frozen meat product returns

Operational Strategy for Low‐Carbon Supply Chain under Asymmetric Information of Fairness Concerns

Simulation of Financing Decisions with Behavioural Preferences and Yield Uncertainty

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