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The primary purpose of this study is to investigate the influence of tourists' perceived value, satisfaction and behavioral intention on the development of Lipu Yi costume culture to promote the development of intangible cultural tourism and better construct a model of the influencing factors of Lipu Yi costumes in the development of intangible cultural heritage tourism.

The study site is the intangible cultural district of Panzhihua, Sichuan Province, China. This study examines the interrelationships between tourists' perceived value of experience, behavioral intention and satisfaction as the tourists relate to Lipu Yi costume and intangible cultural heritage tourism. A sample of 225 tourists who had visited Panzhihua at least once was selected for the study.

All seven of the survey's hypotheses were supported. Therefore, this study concludes that tourists' perceived value, satisfaction and behavioral intention directly affect the development of intangible cultural tourism and significantly positively impact the growth of Lipu Yi costumes culture. Descriptive analysis, confirmatory factor analysis (CFA) and structural equation modeling (SEM) investigation methods were used.

This paper analyzes tourists' perceived value of Lipu costume culture and tourists' satisfaction and behavioral intention during the tourism process. This study provides a more in-depth understanding of the relationship between Lipu Yi costume and non-heritage tourism factors. Practical methods and approaches are sought to further develop Lipu Yi costume non-heritage tourism.

This study aimed to explore the antecedents of small- and medium-sized enterprises (SMEs) internationalization and to compare the different resources required to enter different geographical regions. This study adds to the discussion on internationalization from a resource-based view (RBV) and a focus on dynamic capability, especially the linkage with resources such as digital capability, domestic industrial networks and the business-to-business (B2B) model.

This study used secondary data collected by an SME association in 2020, using a logistic regression model to examine the hypotheses. The respondents were selected according to stratified random sampling.

Digital capability and the B2B model significantly and positively affect the likelihood of internationalization by SMEs, while domestic industrial networks were negatively correlated with this process. In addition, Taiwanese SMEs with high digital capability tend to expand to North America, Europe, Southeast Asia, Northeast Asia, Oceania and the Middle East. Smaller firms tend to develop in Southeast Asia, whereas larger firms opt to establish business in Oceania.

A research limitation is the generalizability of the sample. Findings could be enhanced if future studies include more industries and draw comparisons among different industries or countries. Future studies could explore digital entrepreneurship from a global perspective.

Managers need to emphasize better the development of digital capabilities and skills for SMEs. With limited financial resources and workforce, SMEs can strengthen the competence in international markets by adopting a suitable business model. When SMEs join an association to expand SMEs foreign networks, the study suggests that SMEs carefully evaluate the characteristics of each industrial association first, given that some associations are domestic-oriented. As for public policymakers, a project grant can be used to provide digital capability training for SME employees and owners or promote building a B2B model when internationalizing.

The authors' findings fill the research gaps in RBVs of internationalization, especially in linking resources such as digital capability, domestic industrial networks and the B2B model. The outcomes of this research serve as a reference not only to policymakers for improving the current SME ecosystem, but also to business practitioners positioning themselves in this system.

This study aims to investigate the effects of process input parameters (welding current, welding time, electrode pressure and holding time) on the output responses (nugget diameter, peak load and indentation) that control the mechanical properties and quality of the joints in dissimilar resistance spot welding (RSW) for the third generation of advanced high-strength steel (AHSS) quenching and partitioning (Q&P980) and (SPFC780Y) high-strength steel spot welds.

Design of experiment approach with two level factors and center points was adopted. Destructive peel and shear tensile strengths were used to measure the responses. The significant factors were determined using analysis of variance implemented by Minitab 18 software. Finally, multiresponse optimization was carried out using the desirability function analysis method.

Holding time was the most significant factor influencing nugget diameter, whereas welding current had the greatest impact on peak load and indentation. Multiresponse optimization revealed that the optimal settings were a welding current of 12.5 KA, welding time of 18 cycles, electrode pressure of 420 Kgf and holding time of 10 cycles. These settings produced a nugget diameter of 8.0 mm, a peak load of 35.15 KN and an indentation of 22.5%, with a composite desirability function of 0.764.

This study provides an effective approach for multiple response optimization to the mechanical behavior of RSW joints, even though there have been few studies on the third generation of AHSS joints and none on the dissimilar joints of the materials used in this study.

This study aims to conduct a bibliometric analysis on “intertemporal choice” behavior of individuals from journals in the Scopus database between 1957 and 2023. The research covered the data on the said topic since it first originated in the Scopus database and carried out performance analysis and content analysis of papers in the business management and finance disciplines.

Bibliometric analysis, including science mapping and performance analysis, followed by content analysis of the papers of identified clusters, was conducted. Three clusters based on cocitation analysis and six themes (three major and three minor) were identified using the bibliometrix package in R studio. The content analysis of the papers in these clusters and themes have been discussed in this study, along with the thematic evolution of intertemporal choice research over the period of time, paving a way for future research studies.

The review unpacks publication and citation trends of intertemporal choice behavior, the most significant authors, journals and papers along with the major clusters and themes of research based on cocitation and degree of centrality and relevance, respectively, i.e. discounting experiments and intertemporal choice, impulsivity, risk preference, time-inconsistent preference, etc.

Over the past years, the research on “intertemporal choice” has flourished because of the increasing interest of researchers and scholars from different fields and the dynamic and pervasive nature of this topic. The well-developed and scattered body of knowledge on intertemporal choice has led to the need of applying a bibliometric analysis in the intertemporal choice literature.

Building on previous historical works, this study aims to develop a framework to represent chambers as meta-organizations and present the case of Dersaadet Chamber of Commerce (DCC), based on this framework, during its emergence and evolution in the late 19th and early 20th centuries.

In the study, a historical narrative was constructed from primary and secondary data. To complement data collected from the archives a systematic content analysis was used to explore the discourse of the chamber within its serial magazine.

It was found that the first chamber of the Ottoman Empire, DCC, was established according to the public law model as an extension of the economic context and the guild order, and it was observed that it increasingly conformed to this model between 1882 and 1929.

In this study, chamber models are examined for the first time according to the designated features of meta-organizational forms, built on the historical work on chambers. The case of DCC suggested that it adopted a public law model and displayed much continuity, even when significant transitions were observed during the modernization process from Ottoman Empire to Turkish Republic.

Innovation ambidexterity is crucial for fostering growth and gaining a competitive advantage in small and medium enterprises (SMEs). Previous research indicates that achieving a balance between exploration and exploitation is a multifaceted phenomenon occurring across various levels. This paper aims to examine the influence of individual, organizational and institutional factors on the ambidextrous innovation of Chinese niche leaders using a configurational perspective.

This study uses secondary data collected from 69 Chinese niche leaders in the new equipment manufacturing industry. The authors use fuzzy-set qualitative comparative analysis to investigate how owner openness, age, digitization, the formal institutional environment and the informal institutional environment jointly influence innovation ambidexterity.

By using fuzzy set analysis, this study categorizes combinations of interdependent factors that promote innovation ambidexterity. In particular, the authors pinpoint three configurations that foster high innovation ambidexterity and two configurations that lack such high levels of innovation ambidexterity. The analysis results suggest that innovation paradoxes in SMEs are linked to a nested system comprising leadership, organizational factors and the institutional environment.

This study elucidates the mechanism of innovation ambidexterity through a configurational perspective. This research proposes and validates a framework that enables SMEs to develop ambidextrous innovation capabilities, thereby integrating organizational ambidexterity theory and shedding light on the intricately complex nature of innovation ambidexterity.

An emerging body of literature has pinpointed the role of supply chain structure in influencing the extent to which supply chain members disclose information about their internal practices and performance. Nevertheless, empirical research investigating the effects of firm-level relational embeddedness on network-level transparency still lags. Drawing on social network analysis, this research examines the effect of relational embeddedness on supply chain transparency and the contingent role of digitalization in the context of environmental, social and governance (ESG) information disclosure.

In their empirical analysis, the authors collected secondary data from the Bloomberg database about 2,229 firms and 14,007 ties organized in 107 extended supply chains. The authors employed supplier and customer concentration metrics to measure relational embeddedness and performed multiple econometric models to test the hypothesis.

The authors found a positive effect of supplier concentration on supply chain transparency, but the effect of customer concentration was not significant. Additionally, the digitalization of focal firms reinforced the impact of supplier concentration on supply chain transparency.

The study findings contribute by underscoring the critical effect of relational embeddedness on supply chain transparency, extending prior literature on social network analysis, providing compelling evidence for the intersection of digitalization and supply chain management, and drawing important implications for practices.

The purpose of this article is to explore the impact of the firm's entrepreneurship for the transformation of circular economy (CE). The role of entrepreneurship is thought to be important for the process of four Rs in the CE, and the authors have tried to study the role and impact path of entrepreneurship in CE.

Empirical data from Chinese listed firms are collected, and a measure of digital technology is constructed by text mining method. Mediation analysis method is used to test the proposed hypothesis.

The results show that the innovation entrepreneurship has a significant positive impact upon the CE and digital technology is playing a mediating role in the impact path. However, the business entrepreneurship is negatively affecting the CE adoption. Also, the proportion of shares hold by the institution has a heterogenous influence for the innovation entrepreneurship.

This study guides policy makers about the role of entrepreneurship and the mediating effect of digital technology and to encourage the adoption of CE for firms.

This study reveals the mediation effect of digital technology in the impact of entrepreneurship on CE in the emerging market. The heterogeneity of the proportion of shares hold by the institutions is also analyzed in the empirical study.

This study proposes that reciprocity appeal may influence consumers helping behavior. The authors suggest that this influence depends on the target of reciprocity (direct vs. indirect), consumer–brand social distance (close vs. distant) and frequency of exposure to the appeal over time.

This research was conducted through three experimental studies. They were carried out both through online experiment (Study 1) and in laboratory (Studies 2 and 3). Study 3 consisted of an experiment combined with longitudinal growth models, supporting the hypothesis that repetitive periods decrease reciprocity over time.

The results demonstrate that consumers close to a brand become more prosocial toward the company when the reciprocity appeal is perceived as direct (vs. indirect). In contrast, the indirect reciprocity appeal influences consumers distant from the company. Furthermore, reciprocity appeal decreases consumer helping behavior over time, but indirect reciprocity appeal attenuates this negative effect only to close customers.

This research contributes to theory by showing that direct reciprocal appeals increase the helping behavior of close customers when company appeals are infrequently made.

This research is the first to empirically investigate the efficiency of voucher campaigns. Furthermore, it innovates by exploring a situation of direct consumer reciprocity in which the consumer decides to help a company with an expectation, but no explicit requirement, that the company will reciprocate.

Building on stimulus organism response theory, the current study examines the influence of channel integration quality dimensions (channel service configuration and integrated interactions) on the omnichannel retail store's shoppers' satisfaction, trust and commitment, subsequently leading to customer citizenship behavior (CCB). It examines the relationships proposed against boundary conditions, the number of channels used during the purchase and gender.

The research is descriptive, quantitative and cross-sectional investigation. It was conducted using data from 451 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM and PLS-MGA.

The results indicate that channel service configuration positively impact the dimensions of relationship quality of the omnichannel shoppers. However, integrated interactions influence trust and commitment directly but affect satisfaction indirectly through trust. Subsequently, relationship quality significantly explains CCB. The model results show r2 = 0.402 for CCB; that is, 40.2% of CCB is explained by channel integration and relationship quality. The moderating effect of the number of purchase channels used and gender on all proposed relationships were tested. PLS-MGA results revealed channel service configuration led to shopper commitment, subsequently impacting CCB. The effect was more among shoppers who used more than 2 channels. The impact of channel service configuration on commitment was seen more among female shoppers. Male and female shoppers exhibited satisfaction-driven and trust-driven citizenship behavior, respectively.

The study is carried out in the Indian population, where omnichannel retailing is still in the nascent stage.

This is the first study to demonstrate channel integration quality may influence customer citizenship behavior through relationship quality dimensions, tested against boundary conditions, the number of channels used during the purchase and gender. The findings from this research would help retail store managers design their omnichannel operations to encourage firm-beneficial value co-creation behaviors among omnichannel shoppers.