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This study delves in the controversy about the nature and the sign of the effect of strategic alliances and exploration and exploitation capabilities on innovation and new product development. The paper analyses the effects of knowledge sharing and strategic alliances relationships at the firm level. Specifically, we study the influence of strategic alliances relationships in new product development and the mediating role of exploration and exploitation as dynamic capabilities.

This investigation proposes a theoretical model tested using structural equation modeling (SEM). The multigroup analysis was performed to understand the moderating role of. A questionnaire survey was developed to explore the relations between strategic alliances and innovation and new product development variables. For this study, 387 valid questionnaires were collected from a sample of Portugal SME' firms. A 90-item questionnaire was submitted to employees managers of a large number of Portuguese SMEs, which consists to study the relationships among all the variables.

The results show that exists a positive direct influence of strategic alliances on innovation and new product development, and mediating impact the exploration and exploitation by the moderating role of knowledge sharing.

This study has some methodological limitations affecting its potential contributions. A cross-sectional study that captures one image in time and its ability to identify strict causality between variables is limited. Furthermore, the results are based on log collected from a key respondent, rather than broader actual data. The results are restricted to one country, Portugal. Future research should initially target different countries. Such research could then test the generalizability of the results.

To fill this managerial relevance gap, we propose a process model in which the main antecedents of alliance stability will be examined. We argue that an alliance's evolutionary dynamics depend on these factors and variables that the partners must assess and manage over its developmental stages. In this sense, managers have significant scope to influence the ultimate success of strategic alliances. This study highlights the need to actively manage the cooperation – competition (coopetition) tension with the alliance partner and to apply the knowledge acquired from the partner to create new knowledge to enhance innovative performance

This paper contributes to fill the gap between strategic alliances and new product development mediated by exploration and exploitation in the dynamic capabilities view.

Research on makers and innovation has been equivocal regarding whether maker innovation is driven by internal motivation or external incentives. The motivation view favors the intrinsic motives of makers, whereas the incentive view supports external economic incentives. The authors combine both views to explore how innovation tournaments promote the product innovation outcomes of different creative and entrepreneurial makers, using economic incentives (money) or social incentives (love).

The authors interviewed 42 makers and collected a panel dataset of 29,823 makers from the largest digital maker community in China using a Python crawling program. The authors analyzed the data using multiple methods, including cluster analysis, discriminant analysis, factor analysis and negative binomial regression.

Compared with entrepreneurial makers, the product productivity of creative makers is inferior, but their product popularity is greater. The social incentive of innovation tournaments promotes the product productivity and popularity of creative makers compared with that of entrepreneurial makers, but the economic incentive is contradictory. In addition, social and economic incentives interact to generate inconsistent influences.

The study identifies creative and entrepreneurial makers and contributes to user innovation and innovation tournaments by integrating motivation and incentive views.

Drawing upon the importance of research and development (R&D) alliances in driving firm innovation performance, extant research has analyzed individually the impact of R&D alliance partner attributes on firm innovation performance. Despite such analyzes, research has generally underestimated the configurations of partner attributes leading to firm innovation performance. This research gap is interesting to explore, as firms involved in R&D alliances usually face a combination of partner attributes. Moreover, gaining a better understanding of how R&D partner attributes tie into configurations is an issue that is attracting particular interest in coopetition research and alliance literature. This paper aims to obtain a better knowledge of this underrated, but important, aspect of alliances by exploring what configurations of R&D alliance partner attributes lead firms involved in R&D alliances to achieve high innovation performance. To tackle this question, first, this study reviews the extant literature on R&D alliances by relying on the knowledge-based view of alliances to identify the most impactful partner attributes on firms’ innovation performance. This paper then applies a fuzzy set qualitative comparative analysis (fsQCA) to explore the configurations of R&D alliance partner attributes that lead firms involved in R&D alliances to achieve high innovation performance.

This study selects 27 R&D alliances formed worldwide in the telecom industry. This paper explores the multiple configurations of partner attributes of these alliances by conducting a fsQCA.

The findings of the fsQCA show that the two alternate configurations of partner attributes guided the firms involved in these alliances to achieve high innovation performance: a configuration with extensive partner technological relatedness and coopetition, but no experience; and a configuration with extensive partner experience and competition, but no technological relatedness.

The research highlights the importance of how partner attributes (i.e. partner technological relatedness, partner competitive overlap, partner experience and partner relative size) tie, with regard to the firms’ access to external knowledge and consequently to their willingness to achieve high innovation performance. Moreover, this paper reveals the beneficial effect of competition on the innovation performance of the firms involved in R&D alliances when some of the other knowledge-based partner attributes are considered. Despite these insights for alliance and coopetition literature, some limitations are to be noted. First, some of the partners’ attributes considered could be further disentangled into sub-partner attributes. Second, other indicators might be used to measure firms’ innovation performance. Third, as anticipated this study applies fsQCA to explore the combinatory effects of partner attributes in the specific context of R&D alliances in the telecom industry worldwide and in a specific time window. This condition may question the extensibility of the results to other industries and times.

This study also bears two interesting implications for alliance managers. First, the paper suggests that R&D alliance managers need to be aware that potential alliance partners have multiple attributes leading to firm innovation performance. In this regard, partner competitive overlap is particularly important for gaining a better understanding of firm innovation performance. When looking for strategic partners, managers should try to ally with highly competitive enterprises so as to access their more innovative knowledge. Second, the results also highlight that this beneficial effect of coopetition in R&D alliances can be amplified in two ways. On the one hand, when the partners involved in the alliance have not yet developed experience in forming alliances. Partners without previous experience supply ideal stimuli to unlock more knowledge in the alliance because new approaches to access and develop knowledge in the alliance could be explored. On the other hand, this paper detects the situation when the allied partners are developing technologies and products in different areas. When partnering with firms coming from different technological areas, the knowledge diversity that can be leveraged in the alliances could drive alliance managers to generate synergies and economies of scope within the coopetitive alliance.

Extant research has analyzed individually the impact of R&D alliance partner attributes on firm innovation performance but has concurrently underestimated the configurations of partner attributes leading to firm innovation performance. Therefore, this paper differs from previous studies, as it provides an understanding of the specific configurations of R&D alliance partner attributes leading firms involved in R&D alliances to achieve high innovation performance.

Although previous research has investigated how performance feedback may affect firms’ strategic actions, their findings has been inconsistent. The relationship between performance feedback and firms’ strategic activities thus appears complex. Moreover, the authors contend that it may vary with the measurement strategies employed (i.e. social or historical feedback, operationalizations of strategic actions or accounting- and market-based performance indicators) and the national contexts.

Therefore, the current article presents a comprehensive meta-analysis of prior research, including 1,637,817 sample observations from 101 studies that span more than 18 countries.

The results indicate that (1) performance that are below or above aspirational levels generally has a positive relationship with firms’ strategic actions; (2) these relationships are contingent on the implementation forms taken by the key variables, such as performance feedback, strategic actions and performance indicators; and (3) the relationships are much stronger in countries where managerial discretion is greater.

The findings contribute to the clarification of long-standing theoretical and empirical debates regarding the relationship between performance feedback and strategic actions, as well as some pertinent directions for future research.

This paper aims to explain the mediating role of relational energy and the moderating role of other-focused interest in the relationship between servant leadership and its outputs (namely, work effort, flourishing and organizational citizenship behavior), using the theory of resource conservation and social contagion.

The survey method was used in the study, and longitudinal data were collected to prevent the common method variance error and to reveal the causal relationships. Structural equation modeling was used to test the proposed hypotheses.

According to the results, it was observed that relational energy has a full mediator role in the relationship between servant leadership, work effort and flourishing, and relational energy has an integral part mediator role in the relationship between servant leadership and organizational citizenship behavior. In addition, it has been determined that other focus interest plays a moderating role in the relationship between servant leadership and relational energy.

The research offers important implications for servant leaders on how to improve individual and organizational outcomes.

The study contributes to the servant leadership literature by associating resource conservation theory with social contagion theory. The study differs from previous studies with two main features. First, the previous studies generally adopted a perspective of energy sender. This research, on the other hand, is based on the perception of energy receivers (followers of a servant leader). Second, a moderating role of other-focused interest is explored in the relationship between servant leadership and relational energy.

This study aims to present multi-layered embeddedness and explore the main and interaction effects of political embeddedness on the performance of private enterprises in China. This study tests multi-layered embeddedness through interaction effects between three layers, namely, political, territorial and inter-firm embeddedness. Political embeddedness is related at the personal and the firm levels.

The authors used secondary data of four non-panel waves (2002, 2008, 2010 and 2016) of large samples having identical questions based on the Chinese private enterprises’ survey. The accumulated number of business owners’ responses is a total of 10,686.

The main effects of each of the layers of embeddedness showed a positive influence on enterprise performance consistently and unchanged over time which fits the Chinese Guanxi regardless of the immense macro-economic transition. However, unexpectedly some interactions showed negative significant effects on performance.

First, business owners should be aware of the specific contribution to the performance of political embeddedness at both the firm level and the personal level. Second, the pursuit of exercising simultaneously several layers of embeddedness may be detrimental to company performance. This study provides generalizable lessons regarding different embeddedness layers beyond the context of China’s transition economy.

First, the authors extend political embeddedness to the firm level whilst in previous research this construct had been mostly related to the personal level. Second, building on the resource-based view and redundant resources the authors present the disadvantage of “over-embeddedness” as related to multi-layered embeddedness which has been understudied.

The hallmark of today’s global value chains (GVCs), still dominated by multinationals from advanced economies, is a sophisticated international division of labor based on scale economies and prevailing factor endowment differences between countries. However, GVCs led by multinationals from large emerging economies may be configured on the basis of considerations that supplement factor cost efficiencies, namely, those of societal objectives as formulated by political actors in the home country. In this context, the purpose of this paper is to examine the implications of political and socio-economic factors on GVC configuration of multinational firms.

This paper provides an in-depth case study of a leading Chinese car manufacturer, Zhejiang Geely Holding Group (ZGH) and its value-chain configuration, with a special focus on the acquisition of Volvo Car Corporation.

The authors show how ZGH’s configuration of its GVC, including that of acquired Volvo Car Corporation, takes place in symbiosis with political actors. The advantages and disadvantages of this symbiosis are highlighted.

The study focuses on GVC configuration of one company, ZGH, in one industry, the automotive industry, in one emerging economy. The external validity of the study may therefore be limited. Furthermore, the focus is on the geographical/locational configuration of GVCs and ignores the ownership aspects.

The paper provides novel empirical evidence to better understand GVC configuration of multinational firms from emerging economies.

Starting from the model of the initiation and evolution of inter-firm knowledge transfer in R&D relationships developed by Faems et al. (2007), the purpose of this paper is to refine and improve this model, assessing its reliability in a different and wider context and extending it according to the outcomes.

A multiple case-study approach was implemented, examining 34 dyadic inter-firm R&D relationships. This methodology suited the research goal of exploring the validity of a model in an area where little data or theory exists.

The theoretical model proposed by Faems et al. (2007) was improved, confirming the adequacy of the overall structure of their intuition and highlighting several differences in terms of factors that lead to the dissolution of R&D relationships. These differences mainly refer to partners’ similarities before starting R&D relationships, co-opetition situations, knowledge leakage/opportunistic behavior and reputation issues.

This work is the first to investigate two open research gaps related to the model of the initiation and evolution of inter-firm knowledge transfer in R&D relationships: the need for additional case studies in other contexts to develop a more general theory and the lack of research incorporating issues such as relational capital between partners, governance form and alliance scope in an integrated analysis.

This research aims at understanding the routes public e-marketplaces take, in the motor carrier spot market, to generate trust among participants.

This work borrows cue signaling theory and an e-marketplace content analysis instrument from information systems literature. Our primary data captures differences in usage of a broad spectrum of cues between motor carrier spot e-marketplaces and a control sample.

Transportation e-marketplaces use graphical cues more frequently than the control sample, display these cues on their “operational path” (where users click to conduct transactions) and try to generate beliefs in participants' integrity and competence.

The motor carrier online spot market constitutes a relevant test bed for trust-related theories. Several levels of trust-building conceptualizations are tested; the cue level shows the most potential. This paper extends cue signaling theory in the transportation e-marketplace context and calls for further work on operational path cues to enrich swift trust theories.

This study helps e-marketplace designers by identifying essential and facultative cues for the motor carrier spot market.

Research on public spot e-marketplaces in the motor carrier context is scant. The context is described in detail to show its specificities in structures and behaviors. This helps to contribute to both practice and research. By evolving an existing research instrument from information systems literature, this study ensures replicability (problematic in academic research) .