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Outsourcing is recognized as one of the critical factors for efficient execution of pharmaceutical supply chain management (PSCM), and many pharmaceutical companies engage in international outsourcing of services (IOS) to survive in global highly competitive business. Since the key success factors for both domestic & international alliances are partnership characteristics and strategic fit management, but there is no empirical research on this issue in Thai pharmaceutical partnership offshore outsourcing. Therefore, this survey of Thai and foreign companies, both contract providers (CPs) and contract manufacturers (CMs), seeks to indicate significant relationships among both outsourcing strategic fit and partnership types, including outsourcing performance outcome. This research is two-fold. First, the partnership types (Type I, II, & III), the strategic fit types (low fit, moderate fit, and good fit), and their correlations are analyzed. And second, their outsourcing performance (company revenues and growth rates) are presented. The results showed that the most of the Thai pharmaceutical outsourcing manufacturing are classified as the partnership Type II, as well as the moderate strategic fit, and strongly support the relationship between the two models. Both of the companies’ revenue and growth rate could predict the companies’ performances outcome for each of partnership and strategic fit types. However, it is not necessary that the most integrative type of partnership, Type III, will be always the best, because it depends also on the strategic fit between each pair of partners as well.

Drawing on the signaling theory and technology acceptance model, the main purpose of this study was to predict prospective employees' intentions to apply for jobs in a firm, with a special focus on the mediating role of attitudes toward corporate websites and the moderating role of perceived value fit.

Collecting data from a convenient sample of 318 prospective job candidates, the research hypotheses were tested using structural equation modeling (SEM) with AMOS (version 24) and SPSS Process Macro (version 3.4).

The test results revealed that prospective employees' attitudes toward corporate websites partially mediate the association of corporate reputations, perceived ease of use and perceived usefulness with their intentions to apply for jobs in an organization. Noticeably, perceived value fit moderated the perceived usefulness–application intentions link in such a way that the impact of perceived usefulness on intentions to apply appears higher for individuals with a low level (than a high level) of perceived value fit.

Consistent with the research findings, a notable theoretical contribution and practical implications for HR professionals have been discussed. This paper ends with outlining some limitations and future research directions.

Despite having the salient buffering effects of perceived value fit on the applicant attraction process, empirical study on this theoretical phenomenon is still sparse in a pre-employment context. This may be the first study that demonstrates under what circumstances prospective employees' job pursuit intentions could be optimized in respect of their perceived value fit within a single framework comprised of two theories.

The purpose of this paper is to investigate the relationship between corporate entrepreneurship (CE), organizational culture (OC) and business performance (BP). Additionally, the study has attempted to address the moderating influence of OC on CE–BP relationship.

Data were collected from middle managers of Big Five banks of Pakistan. A two-step approach to structural equation modeling was used. Using confirmatory factor analysis, the measurement model fit was determined. The significance of the theoretical relationship was assessed using structural model.

The results have supported the hypothesized direct and moderated relationship.

The present study extends the body of knowledge in testing the resource-based view of the firm theory and contingency theory through providing empirical evidence on the hypothesized relationships. Additionally, the study has contributed in the existing theory through evaluating the moderating of OC by using interaction effect in partial least squares structural equation modeling (PLS-SEM).

Leaders are role models and through social influence processes, they shape the behaviour of their followers. We build on social learning, social identity and person-environment (P-E) fit theories of leadership to explore the association between leaders’ and followers’ resilient behaviours.

In a three-wave, multisource study amongst 269 Dutch leaders and their followers, we investigate the mediating role of coaching in the relationship between leaders’ resilient behaviour and followers’ resilient behaviour and the moderating role of regulatory focus in this mediation path.

Our results show that coaching is a key relational vehicle through which leaders’ resilient behaviours shape employees’ resilient behaviours, and this indirect association is stronger for employees scoring low on promotion focus. In addition, our results show that resilient employees attract more coaching from their leaders, which further strengthens their resilient behaviours.

Existing studies have shown the occurrence of trickle-down effects of various leader behaviours, moods and work states on those of their followers. However, it remained obscure whether leaders’ resilient behaviour could trickle down to followers’ as well. Our study shows that such a link indeed exists and that coaching is a relational vehicle that embodies two key mechanisms to (1) foster social learning through behavioural entrainment and contagion and (2) facilitate support provision through which leaders promote resilient behaviour in their followers.

This paper analyzes the effect of circular economy practices on firm performance for a circular supply chain and explores the moderating role that big-data-driven supply chain plays within these relationships.

This study uses data collected through an online survey distributed to managers of 378 Italian firms that have adopted circular economy principles. The data are processed using multiple regression analysis.

The results indicate that the three categories of circular economy practices investigated – namely circular economy supply chain management design, circular economy supply chain relationship management and circular economy HR management – play a crucial role in enhancing firm performance from a circular economy perspective. A big-data-driven supply chain acts as a moderator of the relationship between circular economy HR management and firm performance for a circular economy supply chain.

This study makes a number of original contributions to research on circular economy practices in a big-data-driven supply chain and provides useful insights for practitioners. First, it answers the call to capture digital transformation trends and to extend research on sustainability in supply chain management. Second, it enhances the literature by investigating the relationships between three different kinds of circular economy supply chain practices and firm performance. Finally, it clarifies the moderating role of big data in making decisions and implementing circular supply chain solutions to achieve better environmental, social and economic benefits.

The purpose of this study is to operationalise and measure the effects of negative customer engagement (CE) in conjunction with positive CE. Both valences are explored through affective, cognitive and behaviour dimensions, and, in relation to the antecedent of involvement and outcome of word-of-mouth (WOM). It also explores the moderating influence of service context by examining engagement within a social service versus a social networking site (SNS). Engagement with the dual focal objects of a service brand and a service community are also examined.

Structural equation modelling is used to analyse 625 survey responses.

Involvement is a strong driver of positive CE, and positive CE has a strong effect on WOM. These findings are consistent across the “brand” and “community” object, suggesting positive CE is mutually reinforced by different objects in a relationship. Positive CE is also found to operate consistently across the service types. Involvement is a moderately negative driver of negative CE, and negative CE is a positive driver of WOM. These relationships operate differently across the objects and service types. Involvement has a stronger inverse effect on negative CE for the social service, diverging from assumptions that negative CE is reflective of highly involved customers. Interestingly, negative CE has a stronger effect on WOM in the social service, highlighting the active and vocal nature of customers within this service context.

To the best of the authors’ knowledge, this is the first paper to quantitatively measure positive and negative valences of engagement concurrently, and examine the moderating effect of dual objects across contrasting service types.

Based on the theory of planned behavior (TPB) and stakeholder theory, the model proposes that responsible leadership (RL) is mediated by affective commitment (AC) on both outcome variables (organizational citizenship behavior [OCB] and patient satisfaction [PS]) while distributive justice (DJ) moderates the relationship among RL, OCB and PS through the mediator of AC.

Overall, data collected from 275 employees and patients in India’s healthcare sector support this model both in online and offline mode. SPSS 25, AMOS 22 and PROCESS macro were used to analyze the data.

The influence of RL, OCB and PS was seen insignificant in the Indian healthcare sector. This study examines the role of AC as a mediator which does not affect extra-role behavior and PS. The findings also show that the moderation-mediation effect of DJ through AC strengthened the link between RL and OCB, but not PS. Commitment does not affect extra-role behavior and PS.

Until now, there has been no research in the Indian context that has tested the effect of RL on extra-role behaviors and PS, as mediated by AC, according to researchers’ knowledge. Since RL and outcome variables are related through AC, the current study aims to understand how DJ acts as a moderator to that relationship.

Nurses' turnover intention has become a major issue in developing countries with high power distance cultures. Therefore, the authors attempt to investigate how turnover intention among nurses' can be reduced through paternalistic leadership (PL). The authors further investigate the mediating role of job satisfaction between the associations of benevolent, moral and authoritarian dimensions of PL with turnover intention. Finally, the authors examined perceived organizational support (POS) as a conditional variable between job satisfaction and turnover intention.

The authors collected data from 374 nurses working in public and private hospitals of high power distance culture using a questionnaire-based survey on convenience basis.

Structural equation modeling confirms that benevolent and moral dimensions of PL positively affect nurses' job satisfaction which helps them reduce their turnover intention. While the authoritarian dimension of PL negatively affects job satisfaction to further enhance their turnover intention. In addition, the authors noted POS as a conditional variable to trigger the negative effect of job satisfaction on turnover intention.

The authors used a cross-sectional design to collect responses and ensured the absence of common method variance through Harman's Single factor test.

This study identified the mechanism (job satisfaction and POS) through which benevolent, moral and authoritative dimensions of PL predict turnover intention among nurses working in high power distance culture.

護士有離職意向，在擁有高權力距離文化的發展中國家，已成為一個重大的問題。因此，我們擬探討如何可以透過採用家長式領導、把護士離職的意欲減低，繼而研究工作滿足感，在離職意向與家長式領導中仁慈、道德和獨裁這三個層面的關係中所起的中介作用。最後，我們就組織支持感，作為是工作滿足感與離職意向之間的一個條件變數，進行了研究。

本研究透過採用在便利的基礎上進行的問卷調查，從374名在高權力距離文化的公營和私營醫院內工作的護士取得數據，進行分析。

結構方程模型證實了家長式領導中的仁慈和道德這兩個層面，會對可減低護士離職意欲的工作滿足感，產生積極的影響。家長式領導中的獨裁層面、則會對護士的工作滿足程度產生負面的影響，繼而增強其離職意欲。而且，我們確認了組織支持感是一個會增強工作滿足感與離職意向之間負相聯的條件變數。

我們以橫斷面的設計法來收集回應，並透過採用哈曼 (Harman) 的單因素檢定法，來確保共同方法變異不會存在。

本研究確定了一個 (工作滿足感與組織支持感) 機制，透過這機制，家長式領導中的仁慈、道德和獨裁這三個層面可預測於高權力距離文化工作的護士的離職意向。

The paper aims to contribute to a better understanding of the drivers for the use of Industry 4.0 technologies by investigating (1) what motivates companies to consider using I4 technologies and (2) what enables (or hinders) the intention to use I4 technologies to translate into their actual use.

The study uses survey data collected from a sample of export-oriented manufacturing companies with more than 10 employees. Final analysis is conducted on 124 companies.

The results show that companies are proactively approaching I4. Only efficiency motives and expected competitive advantage have a positive effect on the intention to use I4 technologies, which in turn positively influences their actual use. The external, legitimacy-based, motives do not play a significant role in explaining the intention to use. With respect to I4 technology enablers, employee competency positively moderates and availability of finance negatively moderates the relationship between intention to use and actual use.

The work extends the existing knowledge base on I4 technology drivers in companies that are not major global trendsetters but are heavily embedded in the value chains of companies from the most industrially developed economies. The study is limited to manufacturing companies in a small European economy and should be retested in other contexts.

The study can help managers implement I4 technologies in their companies more successfully.

We take a novel research approach by proposing a framework that clearly distinguishes between motives and enablers for the use of I4 technologies.

The study aims to investigate whether and how digital transformation, in terms of digital collaboration, joint efforts with internal/external partners to achieve common goals and the adoption of digital tools supporting this practice, affect social innovation capital in the context of small innovative enterprises (SIEs).

The research hypotheses derived from the analysis of the literature, evaluating how sharing resources, sharing intensity and digital patterns affect the collective capacity of SIEs to innovate, were investigated by applying multiple regression analysis. Data were retrieved from a sample of Italian SIEs through an online survey.

The main findings suggest that the propensity to spread resources and the sharing intensity positively affect the collective capacity of SIEs to innovate. Also, the effect of resources sharing on collective innovation increases as more digital patterns are used as tools. The connection is weaker for the intensity of resources sharing.

The study is conducted on Italian SIEs, a particular cluster of small and medium enterprises (SMEs). It would be interesting to compare and contrast the results of an analysis of a large sample of international companies, of different sizes and belonging to digital and non-digital sectors.

The results enrich the existing literature on social innovation capital, by clarifying its competitive benefits on the characteristic context of the SIEs and underlining the mediating role of the digital patterns.