Does state ownership benefit or impede firm innovation? Extant studies offer contradicting perspectives and inconsistent empirical findings regarding this issue. This study develops an integrated view of institutional and efficiency logics by proposing that whereas state ownership enables a firm to obtain R&D resources, it makes the firm less efficient in utilizing the resources to generate innovation. The results of two longitudinal panel datasets of Chinese manufacturing firms show that state ownership positively affects R&D input; however, it also weakens the effect of R&D input on innovation output, making a minority state ownership optimal for innovation development. Moreover, the efficiency problem of state ownership of transforming R&D input into innovation output decreases when industrial competition is high, as well as for start-ups. We discuss the implications of these findings for research of state ownership and firm innovation in emerging economies.
Technology abandonment may have serious repercussions for individuals with disabilities and for society. The purpose of this study was to determine how technology users decide to accept or reject assistive devices. Two hundred twenty-seven adults with various disabilities responded to a survey on device selection, acquisition, performance, and use. Results showed that 29.3% of all devices were completely abandoned. Mobility aids were more frequently abandoned than other categories of devices, and abandonment rates were highest during the first year and after 5 years of use. Four factors were significantly related to abandonment--lack of consideration of user opinion in selection, easy device procurement, poor device performance, and change in user needs or priorities. These findings suggest that technology-related policies and services need to emphasize consumer involvement and long-term needs of consumers to reduce device abandonment and enhance consumer satisfaction.
We review some of the work of the past ten years that applied the multilevel logit model. We attempt to provide a brief description of the hypothesis tested, the hierarchical data structure analyzed, and the multilevel data source for each piece of work we have reviewed. We have also reviewed the technical literature and worked out two examples on multilevel models for binary outcomes. The review and examples serve two purposes: First, they are designed to assist in all aspects of working with multilevel models for binary outcomes, including model conceptualization, model description for a research report, understanding of the structure of required multilevel data, estimation of the model via a generally available statistical package, and interpretation of the results. Second, our examples contribute to the evaluation of the approximation procedures for binary multilevel models that have been implemented for general public use.
Entry mode choice is a critical ingredient of international entry strategies, and has been voluminously examined in the field. The findings, however, are very mixed, especially with respect to transaction-cost-related factors in determining the ownership-based entry mode choice. This study conducted a meta-analysis to quantitatively summarize the literature and empirically generalize more conclusive findings. Based on the 106 effect sizes of 38 empirical studies, the meta-analysis shows that the findings of the existing studies are moderated to varying degrees by both study-setting factors and statistical artifacts, although the combined overall effects of transaction cost-based determinants are consistent with the predictions of transaction cost economics. We extensively discuss the implications of meta-analytical results, especially moderating effects of location, country of origin, industry type, and statistical artifacts, highlight the measurement adequacy, equivalence, and multidimensionality of transaction cost determinants, and present our suggestions to improve theoretical inquiries and empirical verifications on entry mode choice. Journal of International Business Studies (2004) 35, 524–544. doi:10.1057/palgrave.jibs.8400106
Recent export studies have focused on the internal/controllable determinants of export performance. The external/uncontrollable determinants of export performance have received scant research attention. In this study, the authors examine two key external/uncontrollable factors, namely, industry concentration and firm location, in the context of Chinese manufacturing firms. In addition, the authors include several frequently studied factors such as firm size, capital intensity, technology innovation, and industry in the analysis as covariates. On the basis of logistical regression and multiple regression analysis, the authors find that both domestic market concentration and firm location are potent predictors of Chinese firms' export propensity and export intensity. The authors discuss implications of the findings to expose the reason behind the success of Chinese exporters in international markets.
Manufacturers often use relational governance to manage interfirm relationships with their distributors. Yet recent literature has cautioned that relational governance may only offer conditional benefits. In this study, the authors integrate the resource-, industry-, and institution-based views to examine whether there is a limit to the positive effect of relational governance on export performance. Furthermore, the authors investigate two conditioning factors: industry uncertainty and cross-national institutional distance. Using a survey of 184 export ventures from China, the authors find that relational governance has an inverted U-shaped relationship with performance. In addition, the findings show that the export performance effect of relational governance becomes less effective in uncertain industry environments, but cross-country institutional distance enhances the value of relational governance.
and Key Results■ This study attempts to document the influence of social ties on two critical components of foreign market entry (FME) decisions by small and medium-sized enterprises (SMEs): timing of entry and resource commitment. An ethnic Chinese group serves as the best candidate to underlie this research because ethnic Chinese networks often build on personal connections that are based on regional collegiality and kinship. ■ From a sample of 173 Taiwanese SMEs, hierarchical regression results indicate that social ties are significantly related to FME decisions by Taiwanese SMEs in terms of both the timing of entry and resource commitments.
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