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Research on the relationship between customer bargaining power and supplier performance in supplier–customer relationships has flourished in recent decades. This study aims to empirically investigate whether product market overlap (PMO) in a supply chain moderates the effect of customer bargaining power on supplier profitability.

This study uses large-scale secondary data from multiple databases. Econometric panel data techniques are used to test the hypotheses.

The results show that PMO in a supplier–customer relationship and PMO in supplier–supplier relationships both exacerbate the negative effect of the bargaining power of customers on supplier profitability.

This study contributes to the field of supply chain management. This study brings new insights into the ongoing debate surrounding the relationship between customer bargaining power and supplier profitability. The study also contributes to the literature on supply chain networks by showing the impact of indirect supply chain relationships.

The paper aims to study a strategy of advance selling with part payment (ADP) in which pre-ordering consumers are required to pay a portion of advance price first and then pay the rest in the spot period to complete the order. The authors compare the ADP strategy with strategies of advance selling with full payment (ADF) and no advance selling (NA) from the perspective of sellers.

The paper proposes a two-period pricing model with price-off promotion in the first period for a market consisting of consumers and a single seller. For each strategy (i.e. NA, ADF and ADP), solutions to the seller’s optimal order quantity in the spot period, optimal advance price and prepayment in the advance period are derived by backward conduction. Numerical study is also used to obtain straightforward insights.

Advance price of ADF is lower than that of ADP. Order quantity of ADF is higher than that of ADP. ADP brings more profit than the other two selling strategies, i.e. NA and ADF, when ADP’s implementing conditions are satisfied. While ADF is effective only when unit cost is low, ADP is applicable irrespective of whether the cost is low.

Existing researchers on advance selling mainly focus on the ADF strategy. The paper pays attention to different payment mechanisms in advance selling and steps further to propose a new form of advance selling, i.e. the ADP strategy. The effects of ADP on consumer’s purchasing behavior and seller’s marketing decisions are analyzed.

Economic growth of China in the past decades has caused rapid increase in energy consumption and environmental deterioration. Therefore, it is critical to make an environmental evaluation and to help decision makers to know each province’s distance to the optimal target and improve environmental performance.

In such background, the authors use a within-group common benchmarking model with data envelopment analysis for China’s environmental evaluation and target setting in this paper. This model considers a common treatment of decision-making units within groups but allows for the different circumstances across groups and gives a common reference set for benchmarking.

The results show that there are regional difference in economic development and environmental protection. The coastal area has the best average environmental efficiency, then followed by inland area and the lowest level is the western area. The target results show that in four inputs, namely, population, capital, energy consumption and water consumption, the water consumption is the significant variable which should be decreased largely. All provinces have room to improve their economic level under the condition of a better environment.

In this research, the authors consider the similarity in geography and economy for Chinese provinces and divide 30 provinces into eight economic zones; thus, provinces in the same zone are evaluated with the same weight. Environmental performance and efficiency for each province can be obtained. Efficient targets for those inefficient provinces are provided as a possible improvement direction as well.

Implementing effective marketing strategies can reduce consumers' perceived risks and promote the development of the remanufacturing market. The paper aims to explore the impact of two marketing strategies on the remanufacturing decisions of an original equipment manufacturer (OEM) and investigates the design of the optimal warranty service (WS) and consumer education (CE) strategies. Moreover, the authors also examine the optimal marketing strategy choices using the three criteria of OEM: profitability, consumer surplus and environmental impact (EI).

The authors develop a stylized model by game theory, which characterizes how an OEM that produces and sells both new and remanufactured products (RPs) should design the optimal remanufacturing marketing activity, and how to choose between different remanufacturing marketing strategies. Moreover, consumer's utility theory is used to describe consumers' perception of different remanufacturing marketing strategies to derive product demand.

The results reveal that increasing the warranty and education levels will not always improve the firm's profitability; the result depends heavily on the size of the functionality-oriented consumer (FOC) segment. Remanufacturing marketing strategies might harm the OEM, consumers and environment under certain conditions. Moreover, the optimal marketing strategy selections are jointly influenced by the FOC segment and the new production cost. There exist triple-win regions in which the OEM should not hesitate to perform WS and CE.

Few studies focus on the design and choice of remanufacturing marketing strategies, especially considering the role of consumer perceived behavior. This research contributes the behavioral remanufacturing marketing management and provides managerial implications for the implementation of OEM remanufacturing marketing strategy.

The purpose of this paper is to analyze the relationship between market competition and distribution strategy for logistics service providers (LSPs), including freight price, service level (delivery speed), and service coverage.

The authors consider two risk-neutral LSPs in which one is an existing company and the other is a new entrant. The existing LSP has a sound distribution network and provides service in both local and remote areas. The new entrant LSP should determine the freight price and service coverage to compete for business. The authors use a Stackelberg game to model the competition between two LSPs with assumptions of consumers’ utility and demand distribution. Numerical examples are used to validate the findings.

The findings show that the distribution strategy for LSPs depends on the ratio of the cost difference and shipping speed difference and demand structure. The LSP with higher shipping speeds only need to meet demands in local areas and may stay out of the market in some cases. To compete for business in the whole areas is more profitable for the LSP with lower shipping speeds when either unit service cost or the potential demand in remote areas is low enough. Otherwise, the LSP with lower speeds should stay out the market of remote areas.

This study is a preliminary research on the relationship between market competition and distribution strategy for LSPs and contributes to service operations management literature and strategic management for LSPs.

The paper aims to find the functional relationship among 14 shampoo brands' price, quality, marketing expense and sales in the Chinese shampoo industry. Also studied is which one, among these factors, is the more important.

By using data envelopment analysis models, the authors propose to maximize the sale allocating efficiency scores to satisfy the hypothesis that the shampoo market is efficient, and then, the sales functions, linear and exponential, can be determined and specified.

It is found that an exponential sales function is more suitable to characterize the Chinese shampoo industry, and the price factor is a major influence on creating sales.

The paper proposes a method, from an original perspective, to analyze the sales function among the influence factors and to determine which one is more important. The method can be applied to other markets if the assumed conditions could be satisfied.

The study examines the role of social media technologies (SMTs) as a driver of organization cultural intelligence (OCI) and new product development (NPD) capabilities, and how the complementary effects of these capabilities contribute to multinational corporations (MNCs)’ performance. Further, the study investigates the capability–performance relationship under conditions of high and low market and technological turbulence.

A quantitative survey method was implemented, with the data provided by senior marketing managers employed in MNC regional offices. The proposed model was tested using structural equation modeling and multi-group moderation analysis, and fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that SMTs support the development of OCI and NPD capabilities, which in turn contribute to MNC regional performance. A high level of technological turbulence only weakens the relationship between OCI and performance.

The results suggest that OCI contributes to MNCs’ performance, by deploying social media information and complementing the organization’s NPD capability under a specific environmental context.

The paper offers practical recommendations to MNCs on social media use when developing and launching new products in different regional markets. MNCs need to recruit culturally intelligent managers, who consider the level of market and technological turbulence when combining several types of capabilities.

Within the dynamic marketing capabilities literature, this is the first study to incorporate and reliably measure cultural intelligence capability. The research offers empirical evidence that OCI and NPD capabilities are necessary to achieve superior MNC performance and depend on the level of market and technological turbulence.

Drawing on the literature on dynamic skills, this study builds upon and empirically tests a conceptual model that connects business and political ties, organizational unlearning, organizational learning and firm performance. Specifically, this study suggests that business ties enable and political ties inhibit organizational unlearning (i.e. regenerative dynamic capability), which may, in turn, affect exploratory (i.e. renewing dynamic capability) and exploitative (i.e. incremental dynamic capability) innovation behaviors of the firm. Thus, the purpose of this study is to offer a theoretical framework in which organizational unlearning and learning act as mediating mechanisms between business and political ties and firm performance.

Structural equation modeling and mediation analyzes were used on a sample of 302 small and medium-size enterprises in Turkey.

This study found that business ties enable organizational unlearning while political ties impede it. This study further demonstrates that business ties positively and political ties negatively relate to organizational learning through organizational unlearning. In addition, this study shows that political ties are mostly negatively and indirectly related to firm performance through organizational learning while business ties positively and indirectly relate to firm performance.

The findings demonstrate the critical role that personal networks play in organizational learning and firm performance. This study provides evidence to the need to recognize and evaluate the potential and undesirable impacts of political ties on cultivating innovation skills and firm performance. In addition, this study recommends managers to embrace the significance of organizational unlearning in strategic renewal, particularly as it applies to building renewing and incremental dynamic skills for enhanced firm performance.

This study offers a deeper perspective of the dissected relations of social ties in emerging economies to firm performance by considering organizational unlearning and learning behaviors as mediating mechanisms.

The purpose of this paper is to offer a theoretical and empirical understanding of how social ties affect innovation behavior and new product performance in Turkey, which is an emerging economy where high levels of economic and political uncertainties exist.The authors examine whether innovation behavior binds the political and business ties of the firm to new product performance. They also examine if these effects are contingent on variations in the institutional environment and market environment.

Structural equation modeling and mediation analyses were used on a sample of 344 small- and medium-sized enterprises in Istanbul.

Business ties are positively related to exploratory innovation behavior and political ties hamper such behavior. The authors also show that government support hinders firms’ disruptive innovation while encouraging incremental innovation behavior. The authors further demonstrate that the positive and indirect relation of business ties to new product performance through exploratory and exploitative innovation is largely insensitive to changes in market and institutional environments. Political ties are negatively (positively) and indirectly related to new product performance through exploratory (exploitative) innovation.

Managers should choose the form of their personal interactions (political and/or business) based on the type of innovation that is being pursued. Additionally, managers should consider both the institutional environment and the market environment as important contingencies in their decision of whether to invest resources in developing social ties to build innovation behavior.

The authors offer a deeper perspective of how social ties in emerging economies affect new product performance by considering exploratory and exploitative innovation behavior as mediating mechanisms. These mediating effects are conditional on institutional and market environments.

From the standpoint of a policy maker who has access to a number of expert forecasts, the uncertainty of a combined or ensemble forecast should be interpreted as that of a typical forecaster randomly drawn from the pool. This uncertainty formula should incorporate forecaster discord, as justified by (i) disagreement as a component of combined forecast uncertainty, (ii) the model averaging literature, and (iii) central banks’ communication of uncertainty via fan charts. Using new statistics to test for the homogeneity of idiosyncratic errors under the joint limits with both T and n approaching infinity simultaneously, the authors find that some previously used measures can significantly underestimate the conceptually correct benchmark forecast uncertainty.