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The purpose of this research is to investigate the causal mechanisms that explain the relationship between the long-term buyer–supplier relationship and buyer performance. Building on the growing body of research on social capital in supply chain management (SCM), the authors examine how a buyer achieves superior performance in forming the enduring partnership with a supplier through two different forms of supplier embeddedness: buyer–supplier dyadic embeddedness and supplier external embeddedness.

The bootstrapping method is utilized in data analysis to examine the mediating effects of the two different forms of supplier embeddedness simultaneously on the linkage between the duration of buyer–supplier relationships and buyer performance outcomes.

The authors find that the two forms of supplier embeddedness serve as distinct conduits for the buyer to translate the long-term buyer–supplier relationship into performance effectiveness. Notably, dyadic embeddedness only mediates the linkage between the duration of buyer–supplier relationships and buyer economic performance, while supplier external embeddedness solely mediates the linkage between the duration of buyer–supplier relationships and buyer innovation performance.

This study empirically demonstrates that different forms of supplier embeddedness may benefit a buyer differentially when directed at distinct performance goals. If a buyer can leverage both buyer–supplier dyadic embeddedness and supplier external embeddedness, the buyer will overcome value creation limitations of social capital from a single source, obtaining more comprehensive performance benefits sought by developing long-term buyer–supplier relationships.

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.

The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.

Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.

The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.

The purpose of this study is to examine the effects of servant leadership (SL) and innovative organizational culture (IOC) on employees' innovative work behavior (IWB). In addition, this paper attempts to examine the mediating role of perceived organizational support (POS) in these relationships.

Data were collected from 280 employees working in technopark companies located in Turkey, which require intensive IWB. Structural equation modeling and bootstrapping procedure were used to test the hypothesized relationships.

The findings suggest that SL, and IOC are significantly and positively related to employees' IWB. The results also show that SL and IOC stimulate employees' IWB through POS.

Because this study was carried out by employing a cross-sectional research design with data obtained from the same source, the inferences about the causality among the variables cannot be inferred.

The empirical findings suggest that organizations should make efforts to promote SL and improve IOC in order to harvest IWB from their employees. Moreover, organizations and managers need to recognize the importance of the POS by employees, and therefore form an adequate working environment, create and utilize policies and procedures accordingly.

This study suggests ways for organizations to enhance their innovativeness through IOC and SL applications in pursue of harvesting employees' IWB using POS by employees as mediator. This study is also original, in that no previous studies have investigated the mediating role of POS in the relationship between IOC, SL and IWB.

本研究旨在探討僕人式領導和創新組織文化對僱員的創新工作行為的影響; 研究亦擬探討就上述有關的影響和關聯而言、組織支持感所扮演的調節角色。

研究的數據取自在土耳其的科技園區裡工作的280名僱員 (在科技園區工作，僱員須具備強大的創新工作行為) 。研究採用結構方程模型和拔靴法程式去測試假設的關聯。

研究結果間接表明了僕人式領導和創新組織文化與僱員創新工作行為之間的關聯是正相關的，而且，這相關性頗為顯著。研究結果亦顯示，僕人式領導和創新組織文化均會透過組織支持感、促進僱員的創新工作行為。

由於研究採用橫斷研究設計，而使用的數據又取自同一來源，故變數間的因果關係是無法推斷的。

本研究之經驗結果建議組織應鼓勵推行僕人式領導，亦應努力提昇創新組織文化，以能取得僱員創新工作行為所帶來的成效。而且，組織和管理階層必須明白使僱員感受到組織的支持是很重要的，因此，組織和主管須創造一個良好的工作環境，並制訂適當的政策和處理各種事宜的程式，以能提高組織支持感。

本研究為組織提供了增強創新能力的建議，方法是透過促進創新組織文化和採用僕人式領導，並利用僱員組織支持感的調節作用，以取得僱員創新工作行為所帶來的成效。另外，本研究是獨創的，這是因為從前沒有研究、去探討在創新組織文化和僕人式領導與創新工作行為之間的關聯上、組織支持感所扮演的調節角色。

This paper aims to explore the potential explanatory mechanisms linking leader–member exchange (LMX) and a perceived supportive environment for corporate entrepreneurship. Specifically, this paper develops and tests a hypothesized moderated mediation model of the relationship between LMX and a perceived supportive environment for corporate entrepreneurship through psychological empowerment as conditional upon the level of control orientation.

Data were collected from a sample of 682 full-time working adults in the USA and were examined in a moderated mediation model in PROCESS.

The findings suggest that higher LMX augments perceptions of a supportive environment for corporate entrepreneurship with a mediating role for psychological empowerment and a moderating role for control orientation on that conditional relationship.

This research suggests that high quality LMX relationships may enrich the human capital of firms, helping them to innovate and outperform competitors in the context of modern competitive dynamics. The study findings are limited by several factors including a cross-sectional design and a student-recruited sampling approach.

The study offers unique contributions to the leadership and entrepreneurship literature by being among the first to empirically investigate the relationship between LMX and a perceived supportive environment for corporate entrepreneurship as mediated by psychological empowerment and moderated by control orientation, yielding important insights regarding effective leadership practices for facilitating innovative behaviors and corporate entrepreneurship.

The purpose of this paper is to investigate the relationship between perceived corporate social responsibility (PCSR) and perceived organizational corruption (POC) in a developing country context. The research suggests mediating roles of perceived ethical leadership (PEL) and job satisfaction (JS) in the PCSR–POC relationship.

Data were collected through survey questionnaires. The sample consisted of 434 employees working in private and public organizations in Kosovo. Regression analysis was conducted by using a serial mediation model.

Applying a social learning framework, this study provides evidence that employees’ perceptions of corporate social responsibility (CSR) are positively related to perceived ethical leadership and job satisfaction and negatively related to perceived organizational corruption. Furthermore, results confirm that the relationship between CSR perception and organizational corruption perception is mediated by ethical leadership perception and job satisfaction.

Armed with the findings, organizations can adopt CSR practices to positively influence employee behaviors and attitudes. From these results, it is possible to better comprehend the role of CSR in dealing with relevant aspects such as corruption at the organizational level, especially in developing and emerging markets.

The findings of this research indicate that employees in socially responsible organizations perceive less organizational corruption. Adopting a more ethical and responsible management approach might represent a promising solution to fight the corruption phenomenon inside and even outside organizations. These results should serve as reflection for both managers and public authorities.

With regard to CSR, previous studies have investigated different employee outcomes but never considered the potential impact on corruption at the organizational level. Furthermore, this study extends the literature by conceptualizing perceived ethical leadership and job satisfaction as mediators between perceived CSR and organizational corruption perception, in a developing country context where the concept of CSR is still less investigated.

Leadership has a decisive role in the success of all types of businesses and firms, including small- and medium-sized enterprises (SMEs), and the ethical behavior of leaders is a key component which brings a sense of respect, fulfillment, trustworthiness and acceptance among the employees, which later become visible in their job performance (JP). This study aims to check the immediate effect of ethical leadership (EL) on employee’s JP (EJP) and also explore the indirect mediating effect of corporate social responsibility (CSR) on this EL and EJP nexus.

Primary data was obtained from the employees of manufacturing SMEs of Northern Italy using a cross-sectional design from the end of 2019 to the start of 2020. This paper circulated 450 self-administered questionnaires using simple random sampling, and 202 (44.88%) valid questionnaires were returned. The PROCESS macro was performed using statistical package for social sciences to ensure whether or not EL affects EJP and is there any mediation effect of CSR present in this nexus.

The results indicate that EL has a strong positive connection with EJP and CSR. Interestingly, CSR positively influences EJP. Furthermore, the results also report the strong mediating effect of CSR in the nexus of EL and EJP.

This scholarly work seeks to contribute not only to the literature of EL and EJP but also enriches the understanding of this EL-EJP association by highlighting the indirect effect of mediating variable CSR in the SME sector.

A novel framework for expedited antenna optimization with an iterative prediction-correction scheme is proposed. The methodology is comprehensively validated using three real-world antenna structures: narrow-band, dual-band and wideband, optimized under various design scenarios.

The keystone of the proposed approach is to reuse designs pre-optimized for various sets of performance specifications and to encode them into metamodels that render good initial designs, as well as an initial estimate of the antenna response sensitivities. Subsequent design refinement is realized using an iterative prediction-correction loop accommodating the discrepancies between the actual and target design specifications.

The presented framework is capable of yielding optimized antenna designs at the cost of just a few full-wave electromagnetic simulations. The practical importance of the iterative correction procedure has been corroborated by benchmarking against gradient-only refinement. It has been found that the incorporation of problem-specific knowledge into the optimization framework greatly facilitates parameter adjustment and improves its reliability.

The proposed approach can be a viable tool for antenna optimization whenever a certain number of previously obtained designs are available or the designer finds the initial effort of their gathering justifiable by intended re-use of the procedure. The future work will incorporate response features technology for improving the accuracy of the initial approximation of antenna response sensitivities.

The proposed optimization framework has been proved to be a viable tool for cost-efficient and reliable antenna optimization. To the knowledge, this approach to antenna optimization goes beyond the capabilities of available methods, especially in terms of efficient utilization of the existing knowledge, thus enabling reliable parameter tuning over broad ranges of both operating conditions and material parameters of the structure of interest.