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The purpose of this paper is to maximize the average profit of the supply chain by calculating the order quantity, the number of shipments during the production time of the vendor, the number of shipments during the supply cycle of the vendor and the time when the retailer’s inventory level reaches to zero.

A production and inventory model for degrading commodities with stochastic demand and two-level partial trade credit in a supply chain is presented. The model’s applicability and the processes' feasibility for solving are verified by GAMS software with BARON.

The impact of the model’s parameters on the vendor and retailer’s average profit was found through sensitivity analysis. The effect of the model’s parameters on the supply chain’s average profit was also found. Moreover, the reasons for this effect were given.

First, decision-makers may use this model to increase the supply chain's average profit. Second, the proposed model takes a general form. Third, the policymakers can also adjust the model’s parameters according to their preferences to get the desired results.

First, this paper develops an inventory and production model for perishable goods. Second, it is believed that the demand is random because the demand is affected by many factors, which make the study more realistic. Third, this paper studies production and inventory problems from the supply chain perspective. Finally, the interest for partial trade credit is calculated. The interest caused by stochastic shortages is also considered and calculated.

The purpose of this paper is to examine the relationship between toxic workplace environments, negative workplace gossip and knowledge hiding, by exploring workplace spirituality as a moderating variable in this relationship.

This study focusses on private university lecturer in West Java, Indonesia. Data collection was carried out by distributing questionnaires to respondents offline and online via Google Forms. Data analysis was done by structural equation modeling (SEM).

The findings reveal that a toxic workplace environment and negative workplace gossip are positively related to knowledge hiding. In addition, it was found that workplace spirituality moderates the relationship between a toxic workplace environment and negative workplace gossip with knowledge hiding.

This study extends the research model and research context of knowledge hiding in private universities. This research contributes to the social exchange theory literature by proving empirical support to confirm that there is a social exchange in interpersonal relations between academics.

This study extends the research model and research context of knowledge hiding in private universities, linking it to the conservation of resources theory. This research contributes to the social exchange theory literature by proving empirical support to confirm that there is a social exchange in interpersonal relations between lecturers.

Leaders need to instill spirituality in lecturer so that they feel comfortable when working, and it indirectly reduces the effects of negative behavior such as negative gossip and a toxic environment that makes them willing to share knowledge.

To the authors’ understanding, this is the first study to examine workplace spirituality as a variable moderating the relationship between toxic workplace environment and negative workplace gossip with knowledge hiding in the college context.

People are more likely to participate in work-related events that might cause positive and negative affective reactions. Prior research linked coworker friendship with incivility; however, few studies investigated negative workplace gossip. Simultaneously, linking coworker friendship with incivility through positive/negative affective responses is lacking. As such, this paper aims to examine this relationship via the dual mediation effect of positive and negative workplace gossip.

A total of 398 subordinates at family restaurants in Greater Cairo were surveyed, and data was analyzed using SmartPLS4.

Coworker friendship significantly influences coworker incivility via positive and negative workplace gossip and other underlying mechanisms.

Managers should take the initiative to decrease gossip by sharing information promptly and thoroughly and establishing effective channels for information exchange. In the case of an informal plan, restaurant managers may seek to create a welcoming and motivating corporate atmosphere and cultivate social ties among subordinates to prevent the creation of negative gossip. Restaurant managers should give victims of negative gossip timely psychological counseling.

This paper contributes to the restaurant literature on affective emotional responses to coworkers’ judgment-driven behavior from new perspectives.

The aim of this study is to explore the link between green manufacturing practices, operational competitiveness, firm reputation and sustainable performance dimensions as well as advance a mediation approach.

The study resorted to structured questionnaire to collect data from 158 manufacturing firms from different industries, and partial least square–structural equation modelling is used to test all hypothesized relationships.

The results indicate that green manufacturing has a positive significant impact on social, economic and environmental performance. However, firm reputation and operational competitiveness were found not to significantly influence economic performance. The mediation analysis also showed that operational competitiveness, firm reputation and environmental performance play no mediation role between green manufacturing and economic performance. Furthermore, social performance is found to mediate the relationship between green manufacturing and economic performance.

The study did not consider any moderator variables. Also, the universal applicability and generalizability are somewhat a problem since data was mainly collected from Ghana, an emerging country.

The results provide managers with reasonable evidence to proactively implement and invest in green manufacturing practices because such practices will not only have a positive impact on their sustainable performance dimensions but further enhance operational competitiveness and provide firms with superior reputation.

The study provides significant findings that contribute to and expand the literature on green manufacturing, and it is among the relatively few studies that has investigated the link between green manufacturing, sustainable performance dimensions, firm reputation and operational competitiveness, especially from a mediation analysis perspective.

The purpose of this paper is to solve new pricing issues faced by low-carbon companies in the Yellow River Basin, which is caused by the change of key pricing factors in the mixed appliance background of Big Data and blockchain, such as product quality and carbon-emission reduction CER level (hereafter, CER level).

We choose a low-carbon supply chain with a low-carbon manufacturer and a retailer as our research object. Then, we propose that using the ineffective effect of the CER level and the quality and safety level to reflect the relationships among the CER level, the quality and safety level and the market demand is more suitable in the new environment. Based on these, we revise the demand equation. Afterwards, by using Stackelberg game, four cost-sharing situations and their pricing rules are analyzed.

Results indicated that in the four cost-sharing situations, the change trends and the magnitudes of the best retail prices were not affected by the changes of the inputs of the demand information and the traceability services costs (hereafter, DITS costs), the proportion about retailer's DITS costs undertaken by the manufacturer, the ineffective effect coefficient of the CER level and the quality and safety level and the cost optimization coefficient. However, the cost-sharing situations could affect the change magnitudes of the best revenues.

This paper has two main contributions. First, this paper proposes a demand function that is more suitable for the mixed appliance background of Big Data and blockchain. Secondly, this paper improves the cost-sharing model and finds that demand information sharing and traceability service sharing have different impacts on key pricing factors of low-carbon product. In addition, this research provides a theoretical reference for low-carbon supply chain members to formulate pricing strategies in the new background.

China is primarily a nonreligious country with less than 10% of people following Buddhism, Taoism, Islam, Catholicism, or other religions. Two major communication paths, the land and sea Silk Roads, directly affected the distribution and development of Muslim tourism and attractions. The combination of Islam with local custom and culture is a unique feature in China, and contributes to its development as a form of ethnic rather than religious tourism. As a result, research in China focuses on ethnic product development, minority sports and anthropological tourism, themed events, and intangible cultural heritage.

The purpose of this paper is to explore how consumers’ trust is enhanced by e-commerce-based agribusiness companies. It also aims to shed light on the role of social commerce in improving consumers’ trust.

To achieve the research purpose, an in-depth multiple case study is performed. In this study, three cases in short food supply chain (SFSC) in China are selected, and they are all e-commerce agribusiness companies. They adopted common ways to build up, maintain and reinforce consumers’ trust.

It is revealed that the companies innovatively adopted social commerce, both online and offline, to overcome the trust problems usually faced by e-commerce companies. It is also shown that offline contact with potential consumers is an important first step for agribusiness e-commerce entrepreneurs to build up trust with consumers.

By adopting a multiple case study method, the research has limited generalizability to other types of SFSCs. Since the findings are from Chinese agribusiness e-commerce companies, the generalization to other sectors must be done with caution.

Some managerial implications are given as follows: first, offline contact with consumers could be realized through different channels. Taking advantage of existing social network or trying to find consumers in urban communities might be effective ways. Second, trust building with consumers is not an easy task, managers need to emphasize trust building, trust maintaining, as well as trust reinforcing with consumers. In agri-food sector, managers might need to specifically address the importance of food safety and quality so as to not lose consumer trust in one night.

The study has mainly two contributions: first, it has managerial implications for agribusiness e-commerce entrepreneurs, addressing the important role of social presence in building up consumer trust. Second, it contributes to social presence and social relations literature by providing new empirical evidence from e-commerce in agri-food sector and in developing countries.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

To examine the nature of Chinese business negotiating style in Sino‐Western business negotiations in business‐to‐business markets involving large industrial projects from a social cultural point of view.

A conceptual approach developed from personal interviews.

This study reveals that the Chinese negotiator does not possess an absolute negotiating style but rather embraces a mixture of different roles together: “Maoist bureaucrat in learning”, “Confucian gentleman”, and “Sun Tzu‐like strategist”. The Chinese negotiating strategy is essentially a combination of cooperation and competition (termed as the “coop‐comp” negotiation strategy in this study). Trust is the ultimate indicator of Chinese negotiating propensities and role choices.

The focus of this study is on Chinese negotiating style shown in large B2B negotiations with Chinese SOEs.

Differing from most other studies on Chinese negotiating style which tend to depict the Chinese negotiator as either sincere or deceptive, this study points out that there exists an intrinsic paradox in Chinese negotiating style which reflects the Yin Yang thinking. The Chinese negotiator has a cultural capacity to negotiate both sincerely and deceptively and he/she changes coping strategies according to situation and context, all depending on the level of trust between negotiating partners.

This study aims to investigate the interactions between lean production, internal green practices, green product innovation and sustainable performance metrics. The study further looks at the mediation effect of internal green practices and green product innovation between lean production and sustainable performance dimensions.

The questionnaire was used to glean data from 209 manufacturing firms. All the hypothesized relationships were processed by using partial least square-structural equation modelling.

The results suggest that lean production significantly leads to the implementation of internal green practices and the production of quality products with eco-oriented features that meet customers’ needs. Further, while lean production and internal green practices were found to significantly influence sustainability performance, green product innovation significantly influences only financial performance. Besides, the mediation analysis shows that internal green practices mediate the relationship between lean production and sustainable performance dimensions but green product innovation mediates the relationship between lean production and financial performance only.

The study is limited to firms from Ghana, a developing country; hence, the results cannot be imported to reflect other geographical contexts.

The results of the study provide sufficient justifications for managers, (especially Ghanaian managers and those from other similar environs) to commit their financial resources towards implementing lean production and internal green practices so as to achieve sustainability excellence.

This study magnifies and provides new insight on lean and green literature by developing a comprehensive research model that concurrently tests the direct and indirect effects between lean production, internal green practices, green product innovation and sustainable performance dimensions.