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Although manufacturer-initiated rewards are widely used to secure distributors’ compliance, the spillover effect on unrewarded distributors (i.e. observers) in the same distribution channel is under-researched. Using insights from social learning theory, this paper aims to investigate how manufacturer-initiated rewards affect observers’ expectation of reward and shape observers’ compliance toward the manufacturer. Furthermore, this paper explores how such effects are contingent upon distributor relationship features.

To test the hypotheses, hierarchical multiple regression and bootstrapping analyses were performed using survey data from 280 Chinese distributors.

The magnitude of a manufacturer-initiated reward to a distributor stimulates expectation of reward among observers, which enhances compliance; observers’ expectation of reward mediates the impact of reward magnitude on compliance. Moreover, network centrality (of the rewarded peer) negatively moderates the positive impact of reward magnitude on observers’ expectation of reward, whereas observers’ dependence (on the manufacturer) positively moderates this dynamic.

Manufacturers should pay attention to the spillover effects of rewards. Overall, they should use rewards of appropriate magnitude to show willingness to recognize outstanding distributors. This will inspire unrewarded distributors, which will then be more compliant. Furthermore, manufacturers should know that specific types of distributor relationship features may significantly vary the spillover effects.

This study illuminates the spillover effects of manufacturer-initiated reward by opening the “black box” of the link between reward magnitude and observers’ compliance and by specifying the effects’ boundary conditions.

The purpose of this paper is to investigate the proper matches between institutional business ties (to state-owned enterprises (SOEs) and to banks) and firm capabilities (technological capability and marketing capability) in impacting the radical innovation of manufacturing firms in China.

Using the samples of 208 manufacturing firms in China, this study runs three regression models to test all hypotheses.

Ties to SOEs and ties to banks are positively related to radical innovation of manufacturing firms in China. Further, the technological capability and marketing capability have different functions on moderating the relationship between institutional business ties and radical innovation.

The results imply that managers of manufacturing firms should strive to establish close connections to those organizations that are set-up by government in China. In addition, managers should cautious about the synergies between different institutional business ties and different internal capabilities, and properly matching them to develop radical innovation.

This study enriches and extends the managerial ties literature by going beyond previous narrow focus on either business ties or political ties to address a particular type of organization that is set-up by the governments but operate in the business world. The findings of proper ties-capabilities matches provide nuanced understandings to dynamically manage external resources and internal capabilities for the synergetic benefits (e.g. radical innovation). This study also offer a theoretical paradigm (i.e. resource management model) for manufacturing firms to lessen the striking tension between the urgent needs for radical innovation and the hostile ground for conducting radical innovation.

This study examines the effects of technological and marketing capabilities on administrative and product innovativeness, and the mediation effects of resource flexibility.

This study tests a conceptual model based on survey data from 303 Chinese firms using structural equation modeling.

Technological and marketing capabilities are found to have positive effects on administrative and product innovativeness, as well as resource flexibility. Resource flexibility positively influenced administrative innovativeness and product innovativeness, and resource flexibility mediated the relationships between technological and marketing capability and administrative and product innovativeness.

This study advances the authors' understanding of firm innovativeness and resource flexibility, addresses the missing link between firm capability and firm innovativeness, and contributes to the authors' knowledge of value-generating paths in resource management research.

Integrating the coopetition perspective with institutional theory, this study aims to determine how balanced patterns (BPs) and combinative patterns (CPs) of coopetition impact firms’ new product development (NPD) and how these effects are contingent on the various types of interactions between firms and the institutional environments in which they are embedded.

To test the hypotheses, 303 firms in China were surveyed. Based on the responses, the proposed model was estimated using structural equation modeling and hierarchical regression analysis.

The findings indicate that CP of coopetition enhances NPD but a BP of coopetition impedes NPD. Further, the results suggest that obtaining government support positively moderates the effect of the CP on NPD but negatively moderates the effect of the BP. Conversely, influencing government policy negatively moderates the effect of the CP but positively moderates that of the BP on NPD.

The findings indicate that different patterns of inter-firm coopetition may have different effects on NPD, thus, providing a holistic and dynamic understanding of the contingent value of coopetition for NPD. The findings also suggest that the complex effects of coopetition on NPD are influenced by institutional interactions, introducing further contingencies to the process of coopetition-based innovation.

This study provides guidelines for managers seeking to fully understand and capitalize on the dual nature of coopetition: they should be cautious about the different patterns of competition – cooperation interaction and manage their interactions with institutional environments to increase the benefits and avoid the potential damage that different types of coopetition may bring.

This study offers direct insights into the balanced nature of coopetition and opens up an avenue for further exploration of the specific effects of cooperation dominance and competition dominance on firm performance in the business-to-business context. Moreover, the proposed contingency model offers a potential interface between institutional and coopetition research on NPD in marketing and strategic fields.

The purpose of this paper is to explore how organizational climate impacts the speed of strategic change (SSC) for firms in transitional economies and whether if the effects were contingent on internal control mechanisms.

A theoretical model including five constructs is developed. The questionnaire survey is deployed to scale main constructs, including organizational climate, such as open communication and hierarchical bureaucracy, internal controls such as strategic and financial control, and SSC. The moderation regression method in five steps is employed to test all hypotheses using the survey data from the 120 sampled Chinese firms.

The findings show that open communication has a positive effect on SCC, whereas hierarchical bureaucracy has a negative effect on SSC. Furthermore, strategic control positively moderates the relationship between open communication and SSC but negatively moderates the relationship between hierarchical bureaucracy and SSC; meanwhile, financial control negatively moderates the relationship between open communication and SSC but positively moderates the relationship between hierarchical bureaucracy and SSC.

This research integrates organizational climate and internal control mechanisms into the framework of strategic change to investigate how firms achieve fast strategic change through aligning organizational climate with proper organizational control mechanisms. The findings advance the authors’ understanding of the organizational climate, internal controls, and strategic change literature, and offer valuable managerial insights for managers in situations when strategic change is of central importance in the transitional economies.

This paper aims to investigate the curvilinear effects of firms’ market learning on radical innovation and the moderation effects of the focal firms’ horizontal ties and vertical ties.

This study uses regression analysis with the survey data from 303 Chinese firms.

Explorative/exploitative market learning has an inverted U-shaped/U-shaped effect on radical innovation. The effects of explorative market learning on radical innovation increase when firms have strong horizontal ties, but decrease when firms have strong vertical ties. The opposite is true for the effects of exploitative market learning.

This study uses unilateral data to examine the moderation effects of the focal firms’ vertical and horizontal ties on the market learning-radical innovation links. Future research that conducted in the dyadic-paradigm would be preferable to test the generalizability of this research and address the potential changes.

The value of the current study centers on its integrated framework that incorporates organizational learning theory and the social network perspective to account for radical innovation. The integrative view helps us to interpret the curvilinear effects of market learning on radical innovation and outlines the moderation mechanisms of horizontal ties and vertical ties.

The purpose of this paper is to facilitate understanding of how to convert free players to paid consumers in free-to-play games.

Drawing on the consumption value framework and affordance theory, the present study argues that in-game purchase behaviors are determined by multiple consumption values of in-game items. The perceptions of consumption values were influenced by game affordances. The model was tested, using data from an empirical survey with 2,006 free-to-play game players.

Monetary, enjoyment and social values of in-game items positively predict purchase behaviors in free-to-play games. Game fairness and balance of challenges and skills significantly influence perceived enjoyment value.

The findings of this study provide operable implications to facilitate in-game consumption. The model was tested within the context of free-to-play multiplayer online battle arena (MOBA) games; however, caution is advisable when generalizing the findings to other subgenre of games.

This study extended and thus validated the consumption value framework in the context of free-to-play MOBA games. This study explored the antecedents of consumption values from the perspective of game affordance.

The purpose of this paper is to propose a method of optimal trajectory planning for robotic manipulators that applies an improved teaching-learning-based optimization (ITLBO) algorithm.

The ITLBO algorithm possesses better ability to escape from the local optimum by integrating the original TLBO with variable neighborhood search. The trajectory of robotic manipulators complying with the kinematical constraints is constructed by fifth-order B-spline curves. The objective function to be minimized is execution time of the trajectory.

Experimental results with a 6-DOF robotic manipulator applied to surface polishing of metallic workpiece verify the effectiveness of the method.

The presented ITLBO algorithm is more efficient than the original TLBO algorithm and its variants. It can be applied to any robotic manipulators to generate time-optimal trajectories.

The purpose of this paper is to investigate dynamic food demand in urban China, with use of a complete dynamic demand system – dynamic linear expenditure system-linear approximate dynamic almost ideal demand system (DLES-LA/DAIDS), which pushes forward the techniques of demand analysis.

The authors employ a transitionary demand process and develop a new approach of complete demand system with a two-stage dynamic budgeting: a strongly separable DLES in the first stage and a LA/DAIDS in the second stage. Employing provincial aggregate data (1995-2010) from the China urban household surveys, The authors estimated the demand elasticities for primary food products in urban China.

The results indicate that most primary food products are necessities and price inelastic for urban households in China. The authors also found that the dynamic model tends to yield relatively smaller expenditure elasticities in magnitude than the static models do due to the friction effect of dynamic adjusting costs, such as habit formation, switching costs, and learning process. However, the dynamic effects on own price elasticities are inconclusive due to the add-up restriction.

The research contributes to the demand analysis methodologically, and can be used for better projections in policy simulation models.

This paper methodologically relaxes the restrictive assumption of instant adjustment in static models and allows consumers to make a dynamic decision in food consumption. Empirically, the authors introduce a new complete dynamic demand model and carry out a case study with the use of urban household data in China.

The development of social networks enhances the interaction between people, which brings new challenges to the research of group decision-making (GDM). This study aims at the problem that the synergy and redundancy due to interaction among decision-makers are ignored in the previous GDM, a trust-enhanced consensus reaching model based on interaction among decision-makers with incomplete preferences is proposed.

Firstly, confidence level is introduced to improve the hesitation phenomenon that should be considered when calculating trust degree; Secondly, a new trust propagation operator is developed to deal with indirect trust relationships; Thirdly, trust degree is transformed into interaction index to quantify the synergy and redundancy in decision-making. Fuzzy capacities of decision-makers are used to replace traditional weights, and the final scores of alternatives are obtained through Choquet integral.

The proposed model using fuzzy capacity can reflect the synergy or redundancy among decision-makers and improve the accuracy of final ranking result and reduce the loss of information.

This study proposes a trust-enhanced consensus reaching model, which develops a new trust propagation operator to ensure the continuous attenuation of trust in propagation process. And the proposed model uses fuzzy capacity to improve the enhancement or attenuation on the scores of alternatives.