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The purpose of this paper is to apply a fuzzy LinPreRa cognitive map to evaluate the interaction and importance of factors affecting the development of strategic alliance partnerships between the outlying island duty-free shops and existing collaboration firms in duty-free shops. Meanwhile, the key factors should be considered in establishing strategic alliance partnerships while analyzing and comparing the perspectives of owners for outlying island duty-free shop and partner vendors of collaborating firms along with differences of influencing key factors on partnership quality.

This study incorporates a fuzzy linguistic preference relation analytical network process (fuzzy LinPreRa ANP) in the fuzzy cognitive map (FCM) method to formulate a fuzzy LinPreRa cognitive map to evaluate the interactions and importance of key factors and the conditions of interactive impacts during the establishment of strategic alliance partnerships. The authors use the outlying island duty-free shops in Taiwan as the empirical subject to illustrate how the fuzzy LinPreRa cognitive map is applied. In-depth, interviews and questionnaire surveys are conducted to collect and evaluate respondents concerning key factors affecting strategic alliance partnerships establishment.

The following three findings based on the results of empirical analysis: first, the administrative behavioral patterns of managers for strategic alliance partnerships encompass shared values and goal coherence, while the associative statements are located on the first layer of fuzzy LinPreRa cognitive map core associations, which illustrates that businesses attach great importance to conceptual ideas. Second, integrity and reputations of both parties are the governing mechanism of strategic alliance partnerships, influencing mutual reputation. Third, the relationship of strategic alliance partnerships refers to the profit opportunities of both parties and their ability to respond to the market, including future development, regional indicators, marketing capabilities, brand multiplicity and customer retention. However, it can be inferred that such associative factors are located in the outer layer or belong to noncore associations, which means that both parties’ abilities to respond to market reactions are weakened.

This study provides valuable relationship managerial strategies to maintain long-term partnerships for outlying island duty-free shops and their alliance collaborating firms including strengthened relationships of both parties’ managers to achieve common values and consistent objectives; improved beneficial value of both parties in strategic alliance partnerships; continued close communications to enhance the quality of strategic alliance partnerships; and establishment of personnel training mechanisms and strict formulation of management rules for strategic alliance partnerships.

The main valuable contributions are included the fuzzy LinPreRa cognitive map by combining two different decision methods including FCM and fuzzy LinPreRa ANP is proposed to help decision makers to improve the evaluation quality and calculation efficiency for critical elements’ interaction and importance; the fuzzy LinPreRa cognitive map can clarify considering significant factors when maintaining strategic alliance partnerships and further provide valuable relationship managerial strategies to maintain long-term relationships for duty-free shop owners and their alliance collaborating firms.

Given the increasing intensity of highly competitive markets, this study aims to evaluate the effect of salespeople's emotional regulation, adaptive selling and customer-oriented behavior on sales performance.

A research model was tested by using a sample of 288 respondents from the logistics industry in Taiwan. Structural equation modeling was used to examine the relationships between emotional regulation, adaptive selling, job resourcefulness, customer-oriented behavior and sales performance.

The results indicate that emotional regulation, adaptive selling and job resourcefulness can improve customer-oriented behavior, and that customer-oriented behavior and job resourcefulness can enhance sales performance. By highlighting the role of job resourcefulness, the authors find a positive moderating effect among these four dimensions.

The findings can help salespeople integrate customer-oriented behaviors into strategic changes to regulate their own emotions and those of others to productively address and resolve difficult business conditions. The theoretical and managerial implications of this work's contributions to international logistics are also discussed.

Interest in investigating key supplier relationships from both academic and corporate spheres has increased in recent years. However, it is difficult to develop a sustainable and effective model for evaluating key supplier relationships because the information available in the practical environment is often uncertain and asymmetric. The purpose of this paper is to identify critical factors concerning key suppliers selection derive from resource-based view and construct a hierarchical evaluation framework which has elements of implied change or transformation of the firm’s resources for operation strategies when evaluating key suppliers relationships. Moreover, the authors propose a fuzzy preference relations (FPR) model, with a hierarchical evaluation framework, to address the imprecise and inconsistent information used by managers to evaluate key supplier relationships and further to select appropriate suppliers.

The FPR model based on the consistent FPR methodology not only provides an efficient and systematic evaluation for key supplier relationships by using the performance and evaluation scores of each key supplier, but also solves problems arising from the conventional multi-criteria analysis approach. This methodology is faster to execute and enhance the consistency and accuracy with regard to the decision makers’ judgments. To illustrate how the model is created and assessed, the authors use the TFT-LCD TV panel manufacturing industry as an empirical subject.

The FPR model holds promise for assisting TFT-LCD TV manufacturers in evaluating key supplier relationships with TFT-LCD TV panel suppliers. The findings indicate that first, “the supplier’s product quality” is the most important factor when evaluating key supplier relationships, followed by “selling price set by the supplier” and “specialized supplier development capability”; second, after the 1980s, all suppliers had similar delivery capabilities with only small differences in delivery times, such that the relative importance of “time required for shipments” has become less significant, and customer awareness of the “customer assistance and service” factor has been heightened; third, the provision of excellent product quality and attractive low prices by suppliers requires technical capability, therefore, from the perspectives of industry experts, “specialized supplier development capability” is far more important than “time required for shipments”; and fourth, TFT-LCD TV manufacturers need to focus on their product quality performance continually, and concentrate on applying process technology strategy as well as product and service development strategy to build up “difficult to imitate resources” for competitive advantages.

The main contribution is to provide managers with an efficient and systematic model that can evaluate the performance of key supplier relationships in terms of critical factors derived from resource-based theories. By focussing on employing the proposed model with successful management for key supplier relationships, the authors hope to help buying companies improve the benefits of supplier relationships. Because of the uncertainties and complexities of real strategy making in TFT-LCD TV panel industry, the authors offer a model that implicitly assume that managers can have influences over the strategic direction of their organization.

The purpose of this paper is to evaluate multiple criteria and sub‐criteria of e‐SQ with the interdependence perspective, utilising three phases of measurement for the proposed e‐SQ evaluation.

The paper utilises literature reviews to address the question of interdependence in the context of e‐SQ and constructs an interdependent network structure for e‐SQ evaluation. Then a method and three phases of measurement are proposed that combine the consistent fuzzy preference relations method with the analytic network process (ANP) technique, to evaluate e‐SQ by using senior experts who work at travel web site companies as research participants.

First, this study discovered the interdependence perspective of criteria and sub‐criteria for e‐SQ evaluation. Second, it was found out that the weights of criteria and sub‐criteria have reverse situations after considering the interdependence perspective. Third, the findings indicate that the interdependence perspective among criteria and sub‐criteria should be taken into consideration, and the authors remind practitioners of the need to implement overall improvements instead of independently addressing each criterion or sub‐criterion of e‐SQ individually.

The authors propose a scientific and systematic method for e‐SQ evaluation that can enable managers of online web sites to determine the important factors, and further to achieve total e‐SQ control management. Moreover the proposed method can deal with imprecise information when evaluating e‐SQ, as well as considering interdependent relationships among factors, and is thus faster and more efficient at addressing the inconsistency problems involved in multiple decision making than conventional methods.

This paper investigates the current psychological state of Chinese tourism practitioners and their career resilience during the ongoing COVID-19 pandemic. It empirically examines the effects of COVID-19 on Chinese tourism practitioners' professional attitudes and their career belief in the future. The study is intended to guide enterprises and governments to design effective strategies/policies to deal with the effect of this unfavorable environment.

The sample consists of 442 tourism practitioners in 313 tourism enterprises in China. The data were collected via a targeted online survey based on a well-structured questionnaire. The data were analyzed using statistical procedures including multilevel regression analysis.

The study results show that Chinese tourism practitioners have strong career resilience in the face of current turbulent time. After testing, the model shows that career beliefs and social support have a significant positive impact on the professional attitudes of tourism practitioners, and that career resilience has a partial mediating effect on their career beliefs, social support and professional attitude.

This study enriches the existing literature on career belief, social support and career resilience. It provides a new interpretation on how career belief and social support impact career resilience and thus shape tourism practitioners' professional attitudes during pandemics.

This study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China.

This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify the innovation performance of the emergency industry and then codes the innovation policies to calculate the syntactic components based on institutional grammar tools (IGTs). The configurations of syntactic components were determined by applying the fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that rules- and norms-oriented policy designs would improve the innovation performance of China's emergency industry. In the developed provinces, the “Deontic” and “aIm” combinations in the policy are useful for improving performance. In the developing provinces, the ambiguity of the “aIm” and “Context” conditions in the policy is leading to low performance. Additionally, a lack of strategy-oriented policy design would also result in poor performance.

Most previous studies used substitute variables to understand policy impacts. This study contributes to identifying the impacts of the syntactic components of policy designs on the innovation performance of the emergency industry. The findings can assist policymakers in developing more effective policies to stimulate innovation development in the emergency industry.

Market integration in China is still progressing, while the border effects of trade among regions still exist. The question of whether eliminating or weakening regional bias can promote of China's agricultural trade still remains an important issue. This paper analyzes the impact of regional bias on China's agricultural trade.

This paper constructs a pure exchange computable general equilibrium model of nine regions and three sectors, and analyzes the impact of regional bias on China's regional agricultural trade; Comparing the differences of regional bias on China's inter-regional and external agricultural trade, the paper especially analyzes the impact of the agricultural imports and exports in eight regions of China.

The results show that regional bias has had substantial impacts on China's agricultural trade. Elimination of regional bias would therefore increase China's agricultural exports and imports by factors of 1.32 and 1.63, respectively while its agricultural trade deficit would increase by 84%. Inter-regional agricultural trade in China would increase by 3.53 times. With the elimination of regional bias, the Northern coastal, Central and Northwestern regions would have the largest increase in inter-regional agricultural trade. Unlike the Northern coastal region, inter-regional agricultural import in the Central and Northwestern regions tends to be greater than inter-regional agricultural exports.

This paper thus aims to fill existing gap in investigating the impacts of regional bias on China's agricultural trade. Firstly, the model proposed in this paper does not only consider the linkage between the agricultural and non-agricultural sectors, but also the inter-regional agricultural trade linkages of the different regions in China. Secondly, the authors decompose home bias into national and regional biases and assess how regional bias affects agricultural trade of the various regions of China.