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This study aims to explore the domain of leader’s creativity and suggests that leader’s creativity can be present as both worker-role creativity and manager-role creativity. Then, the study examines the influence of leader’s worker-role creativity and manager-role creativity on employees’ creativity and team creativity. As a contextual factor, the identification with leader is taken as a moderator at both the individual and team levels.

With data that was collected from 229 employees and 32 team leaders in entrepreneurial and R&D teams of China, hierarchical regression is conducted to test the hypotheses at individual and team levels separately.

The results show that leader identification plays a different role in moderating the effects of worker-role creativity and manager-role creativity on employees’ and team creativity. For the relationships between worker-role creativity and employees’ and team creativity, they are positive when leader identification is high and negative when it is low. For the relationships between manager-role creativity and team creativity, it is stronger when leader identification is higher rather than lower.

This study answers the call for studying the roles of creative role models and provides new evidence of the leader as a role model. The exploration of the domain of leader’s creativity and the different effects on creative outcome brings an interesting perspective on creativity and leadership research.

The present study draws on the advance to develop the content of leader’s creativity. Then, the moderating role of identification with leader between leader’s creativity and employees’ creativity and team creativity is comprehensively examined.

This study empirically investigates how ambidextrous innovations and their balancing affect the supply chain financing performance (SCFP) of small and medium-sized enterprises (SMEs), based on signaling theory. Moreover, this study explores the moderating effect of the breadth and depth of digital technology deployment on the relationship between ambidextrous innovations and the SCFP of SMEs.

A mixed-methods design is used, including a qualitative study and a quantitative study. Qualitative data have been collected from six multi-cases in different industries. Questionnaire data have been collected from 259 SMEs in China, and a multiple regression model is used to verify the research hypotheses.

The findings indicate that, in supply chain financing, both exploitative innovation and exploratory innovation are helpful in improving the SCFP of SMEs. For resource-constrained SMEs, a relative balance between exploitative innovation and exploratory innovation can help improve SCFP. The breadth of digital technology deployment can strengthen the relationship between exploitative innovation and SCFP, while the depth of digital technology deployment can weaken the relationship between exploratory innovation and SCFP. In addition, increasing the depth of digital technology deployment strengthens the positive correlation between the relative balance of ambidextrous innovations and SCFP.

To effectively obtain supply chain financing, SMEs can either concentrate their limited resources on a single type of innovation or use relative balance strategies to simultaneously pursue two innovations. In addition, in the process of obtaining supply chain financing by ambidextrous innovations, SMEs should appropriately deploy digital technologies.

This study first deconstructs the impact mechanism of ambidextrous innovation capabilities on SCFP based on signaling theory, and then discusses the balancing effect of ambidextrous innovations on SCFP in the cases of resource-constrained SMEs. This study also goes further and finds the negative moderating effect of digital technology deployment in the process of supply chain financing.

Big data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.

The study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.

The findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.

The study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.

The study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

The purpose of this paper is to advance the understanding of brand love by studying its intensity and the nature of extreme forms of it, rather than its presence or absence. The love of a sports team is a type of brand love and is a valuable context to study of brand love intensity because the intensity of love can become more extreme than for products; it has two distinctive features that are theoretically, management and policy relevant; and it is an under-researched context in marketing that is socially and economically significant.

The authors empirically develop and test a multidimensional hierarchical higher-order measure of the intensity of team love and a model of its drivers and outcomes using a sample of supporter club members of a professional sports team who vary in their intensity of love for the team.

The results support our measurement model and its distinctive features, especially the importance of the perceived two-way bond fans have with their team. While overall intensity of team love is not related to social influence or on-field performance, as hypothesized, they are related to sub-dimensions of team love, reflecting its multidimensionality. As hypothesized, the intensity of team love and social influence are related to the intention to renew club membership even with increased costs and poor performance and social influence is directly related to word of mouth and game attendance.

The research is limited to the club members of one sports team in a particular sport in one country and one cultural context. Future research opportunities include: extending it to other sports and brand contexts, refining the methodology and addressing other issues highlighted by the research.

The results indicate the limits of management control of team love intensity because it develops over time independently through social processes. However, firms can help facilitate these processes. The social dimensions indicate the need to develop socially, as well as individually-focussed relationship management strategies. Most devoted fans are valuable customers, but some hardcore elements can be dysfunctional and sabotage the brand.

Sport is personally, social and economically significant in most cultures and love of a sports team love can be an important glue that binds people and communities. However, the existence of extreme hardcore fans and heated rivalries can also be divisive and pose challenges for social policy. Hence, the need to better understand the factors driving more extreme forms of team love to better inform the development of social policy.

The authors focus on the intensity of brand love rather than its presence and absence as in prior research. The authors develop and test a new hierarchical measure of sports team love intensity and a model of its drivers and outcomes. The sports context is under-researched in marketing but reveals the important role played by dimensions that are obscured in studies of product brand love – its social nature and the perceived reciprocal relation with devoted fans. The results contribute to developing extended theories of brand love, open up new research opportunities and have management and policy implications.

As an effective mode to help small and medium enterprises (SMEs) raise working capital, supply chain finance has recently gained extensive attention. The purpose of this paper is to explore the intrinsic mechanism of how both weak and strong ties in the supply chain network impact the supply chain financing performance (SCFP) of SMEs from the perspective of the supply chain network.

Based on the extended resource-based perspective, this paper proposes a theoretical model to explain the mode in which strong ties and weak ties of SMEs in the supply chain network influence SCFP through both physical distribution flexibility and demand management flexibility. Based on data from 182 manufacturing firms in China, this paper uses multiple regression analysis to test hypotheses.

The results of this paper indicate that weak ties improve SCFP more effectively than strong ties. Furthermore, both physical distribution flexibility and demand management flexibility exert different mediating roles either between strong ties and SCFP or between weak ties and SCFP. Moreover, the effect of physical distribution flexibility and demand management flexibility on SCFP of SMEs is not reinforced.

This paper highlights the importance to expand supply chain finance research from the perspective of the supply chain network. In particular, this paper explores the poorly understood mediating effect both physical distribution flexibility and demand management flexibility exert on the relationship between network ties and the SCFP of SMEs.

This study aims to explore the impact of supply chain governance (SCG) on supply chain resilience (SCR) in China, as well as the mediating role of supply chain finance (SCF) and the moderating role of digital technology adoption (DTA).

Based on resource orchestration theory (ROT), this paper constructs a theoretical model to examine the influence of SCG on SCR. Employing data collected from 312 Chinese firms, multiple regression is conducted to test the theoretical hypotheses.

The results indicate that both relational governance (RG) and contractual governance (CG) significantly enhance SCR and SCF. In addition, SCF plays a mediating role in the relationship between SCG and SCR. The study also finds that DTA has a positive moderating effect on the relationship between SCG and SCF.

First, based on ROT, this paper clarifies the nuanced driving effects of RG and CG on SCR. Second, SCF is introduced as an intermediary process between SCG and SCR, which reveals the inner mechanisms between SCG and SCR. Moreover, this study contributes to investigating the contingent role of DTA in the relationship between SCG and SCF.

The purpose of this study is to examine how the quality management of small and medium-sized enterprises (SMEs) impacts their supply chain financing performance (SCFP). This study also investigates the mediating roles of organisational dependence between quality management and the SCFP of SMEs, as well as the moderating role of environmental dynamics.

Questionnaires were administered to 248 financial managers responsible for supply chain finance (SCF) in SMEs in China. Data analysis techniques used include necessary condition analysis and multiple regression analysis.

Research findings show that, in SCF, the quality management of SMEs positively predicts their SCFP through the mediation of the organisational dependence of the focal enterprises in the supply chain network. Environmental dynamics are also found to moderate the relationship between quality management and SCFP through the organisational dependence of capital providers.

To the best of our knowledge, this is the first study to explore the relationships between SMEs' quality management and their SCFP. Also, this study provides a new theoretical lens through which to study SCF by introducing signalling theory.

The purpose of this paper is to propose a receding horizon control approach for the problem of locating unknown wireless sensor networks by using a mobile robot.

A control framework is used and consists of two levels: one is a decision level, while the other is a control level. In the decision level, a spatiotemporal probability occupancy grid method is used to give the possible positions of all nodes in sensor networks, where the posterior probability distributions of sensor nodes are estimated by capturing the transient signals. In the control level, a virtual robot is designed to move along the edge of obstacles such that the problem of obstacle avoidance can be transformed into a coordination problem of multiple robots. On the basis of the possible positions of sensor nodes and virtual robots, a receding horizon control approach is proposed to control mobile robots to locate sensor nodes, where a temporary target position method is utilized to avoid several special obstacles.

When the number of obstacles increases, the average localization errors between the actual locations and the estimated locations significantly increase.

The proposed control approach can guide the mobile robot to avoid obstacles and deal with the corresponding dynamical events so as to locate all sensor nodes for an unknown wireless network.

Despite their crucial role in sustaining national economies, small and medium enterprises (SMEs) are beset by the constraint of financing at better conditions. The purpose of this paper is to compare supply chain finance (SCF) solutions provided by commercial banks and financial service providers (FSPs) that help SMEs access financing.

This study looks at multiple case studies using in-depth interviews with focal firms (lenders) to answer the research questions. In-depth interviews were conducted with three Chinese FSPs and three commercial banks providing working capital to the same SMEs. The unit of analysis is SCF solutions that have made the companies competitive in the industry.

The case studies show that the acquisition of transaction information and business credit in SCF can reduce ex ante information asymmetry. SCF utilizing receivable transfers, closed-loop business, relational embeddedness, and a combination of outcome control and behavioral control can also reduce ex post information asymmetry. For these reasons, compared with commercial bank-dominated SCF, SCF adopted by FSPs in the supply chain can better reduce information asymmetry.

This study contributes to the emerging literature exploring the impact of SCF on SMEs accessing financing. In particular, this study provides supply chain management and operations insights on SCF and their consequent influence. Previous research has focused on the direct dyadic relationship between lenders and borrowers while neglecting supply chain effects. Uniquely, this study explores the different ways commercial banks and FSPs implement SCF solutions.

This paper examines how weak ties and strong ties in the supply chain network influence the financing performance of small and medium enterprises (SMEs) through the mediation of information sharing and innovation capability.

Questionnaires were administered to 208 financial managers responsible for supply chain finance in SMEs in China. Data analysis techniques used included multiple regression analysis and fuzzy-set qualitative comparative analysis.

The authors found that weak ties had a more substantial impact on the financing performance of SMEs than strong ties did. Information sharing and innovation capability played a mediating role between weak and strong ties and the financing performance of SMEs. In addition, information sharing and innovation capability complement each other and jointly influence the financing performance of SMEs.

SMEs are suggested to actively embed themselves in the supply chain network to increase financing opportunities and reduce financing costs. The authors also recommend SMEs to enhance the level of their information sharing in the supply chain network and take advantage of their network ties to access and adopt new technology from other organisations and conduct collaborative innovation with partner institutions.

The paper extends the authors’ understanding of supply chain finance by exploring the intrinsic mechanism of how various constructs (weak ties, strong ties, information sharing and innovation capability) in the supply chain network have an impact on the financing performance of SMEs. In particular, the authors explore the under-researched mediating effect of information sharing and innovation capability on the relationship between network ties and the financing performance of SMEs.