Appropriability of innovation results: An empirical study in Spanish manufacturing firms

This study is intended to analyse several mechanisms available to companies in order to appropriate the results of their innovative activities. These mechanisms include patents, industrial secret, cost and time of imitation and continuous innovation. Specifically, this paper focuses on studying the factors that determine the choice of one appropriation method over another. To this end, we propose a specific model of analysis, which includes various hypotheses to be tested in a sample of 258 Spanish manufacturing companies. The results confirm that companies that mostly use explicit knowledge chose the patenting system as a defence mechanism, while those companies in which tacit type knowledge predominates tend to opt for industrial secret. We could also prove that larger companies tend to choose the patenting system as a protection mechanism. Finally, the hypothesis that companies that use high-commitment human resources practices use continuous innovation or technological leadership as a protection mechanism could also be tested.     

The effects of market orientation and service innovation on service industry performance: An empirical study

This study examines how market orientation affects a firm’s service innovation and consequently, the firm’s market and financial performance. The findings indicate that if a firm uses customer orientation, the firm is more likely to adopt incremental service innovation, while if a firm uses competitor orientation, the firm is more likely to adopt radical service innovation. Finally, incremental and radical service innovations lead to greater market performance and in turn, better financial performance.     

Individual entrepreneurship,collective entrepreneurship and innovation in small business: an empirical study

The study reported in this article examines simultaneously the impact of individual entrepreneurship and collective entrepreneurship on innovation in small business. It intends to address the weakness in previous entrepreneurship research that either only focuses on the individual entrepreneur's role in innovation (Miller 1983 Management Science, 29:770-791), or only stresses the importance of collective entrepreneurship (Reich 1987 Harvard Business Review, 65 (3), 22-83; Stewart 1989). The results of structural equation modeling analysis of data from more than 200 small businesses show that both individual entrepreneur(s) and the collective contribute to innovation in small business. Analysis results also reveal the complex relationships between the two types of entrepreneurship in terms of their impact on innovation in small business. Factors that contribute to collective entrepreneurship were found to contribute to individual entrepreneurship, while factors that are often associated with individual entrepreneurship were found to have negative impact on collective entrepreneurship. Communication among members of the small business, which was found to directly contribute to collective entrepreneurship, was found to contribute to individual entrepreneur's knowledge of emerging markets, products, and technologies. In contrast, centralized decision making, which was found to have direct negative impact on innovation, was found to have negative impact on collaboration and communication. Implications of the study are discussed.     

Interpreting the results of studies using latent variable models to assess data quality: an empirical example using confirmatory factor analysis

Latent variable models (LVMs) offer one route to examine the quality of data collected in surveys. The possibility exists that individuals equivalent in their true level of a construct or variable being measured are unlikely to have equivalent observed responses as a function of an extraneous variable, e.g., group membership. This potential is labeled here as differential item functioning (DIF). Survey methods generally considers measurement bias to be estimators that do no not accurately reflect true values. DIF may be thought of as differential measurement bias, i.e., measurement bias conditional on group membership. As a function of group membership, the degree, amount, or type of measurement bias changes. DIF has the potential to negatively affect the quality of data. LVMs, e.g., confirmatory factor analysis (CFA), offer one tool to assess DIF. However, few published examples exist in the survey research field and training in the interpretation of these models is lacking. The purpose of the current paper is to describe CFA sufficiently for interpretive purposes and demonstrate an empirical application of CFA to assess survey data quality to provide further interpretive guidance. References are provided for analysts wishing to conduct analyses of this type.     

Democracy and trade: an empirical study

The theoretical discussion on globalization has suggested that there are linkages between democracy and trade, although the direction of influence is less certain. Formal empirical studies remain scarce, and have often focused on the question of whether democratic regimes influence trade policy, as opposed to the actual relationship between democracy and trade. This paper seeks to answer the question, “Do democracies trade more?” by applying the gravity equation to a large dataset of bilateral trade data for the period 1948–1999, while taking into account the role of democracy. It finds that democracy is positively related to trade flows, but only after controlling for trade pair heterogeneity. In addition, it makes the case for studies of this nature to draw a distinction between trade flows in the pre- and post-1990s period of rapid democratization as well as between developed and developing countries.     

Drivers to firm innovation and their effects on performance: an international comparison

This research aims to analyse the drivers to company innovation and their effects on the financial performance. This study is based upon a sample of companies, located in two neighbouring countries (Portugal and Spain). Linear regression was the methodology deployed to analyse the importance of innovation types (differences between Portugal and Spain). To analyse the extent to which the innovation capacity variables influence financial performance (turnover), we made recourse to Probit Regression models. Our results show significant differences in terms of both the drivers and inhibitors to innovation in these two countries. The introduction of products into new markets only proved significant at Spanish companies whilst innovations in both products and processes are significant in both sets of Iberian companies.     

Key factors affecting the hospital performance: a qualitative study using fuzzy logic

Identifying the key factors affecting the hospital performance helps better planning for hospital high performance. The purpose of this study is to provide a combination of qualitative and quantitative methods to investigate the hospital performance. In the qualitative section of this study, factors associated with hospital performance were detected using literature review, interviews, and expert panels. The findings analyzed by one sample t test and categorized by framework analysis method. In the quantitative section of this study, both direct and indirect relationships between factors were measured by using fuzzy Decision Making Trial and Evaluation Laboratory technique to detect influencing and influenced factors. Finally the key factors affecting the hospital performance were detected.     

Combining grey relation analysis and entropy model for evaluating the operational performance: an empirical study

Decision-making on operational performance evaluation is a complex multi-objective problem. Through the combination of grey relation analysis and information entropy, the evaluation results are more objective and reasonable. This paper would introduce entropy into the weighting calculation of the grey relational analysis method for improving the precision. The improved decision model was applied in four notebook computer original design manufacturer companies. The result presented the proposed method is practical and useful. Significantly, the proposed method provides more flexible and objective information in determine the weights vector of the criteria. Also the study result represented that the combined method had certain scientific and rationality. The evaluation model indicates that this method be more reasonable and easier to grasp than other methods. As a result, it is easier to popularize this evaluation method in enterprises.     

Assessing efficiency and innovation in the 3PL industry: an empirical analysis

ABSTRACT

The Third-party Logistics (3PL) industry is facing both important growth rates and increasing competitive pressure. 3PL providers are required to continuously sustain a more and more competitive cost structure (i.e. efficiency) and develop capabilities to improve their services (i.e. innovation); hence, the evaluation of these key success factors is considered a key issue. This paper develops a quantitative analysis of 71 Italian 3PL providers by using Data Envelopment Analysis to jointly assess efficiency and innovation. Furthermore, through a case study research, it corroborates the quantitative results by investigating the strategies of best-in-class companies. Results allowed identifying 13 3PL providers as efficiency leaders and 6 as leaders from both the efficiency and the innovation side. Their input composition indicates a diversification of the business models. A breakdown of the analysis by size and industry focus, along with empirical evidence on the strategies enhancing efficiency and innovation, is also provided.     

Supply chain quality management practices and performance: An empirical study

This study proposed a conceptual framework to study the relationships among three dimensions of supply chain quality management (SCQM) – in-house quality management practices (internal QM), interaction for quality with suppliers on the upstream side of supply chain (upstream QM), and interaction for quality with customers on the downstream side of supply chain (downstream QM) – and their impact on two types of quality performance (conformance quality, and customer satisfaction). Survey data were collected from 238 plants in three industries across eight countries and structural equation modeling was used to test this framework. The results indicate a dominant role of the internal QM in SCQM which has a positive impact on the other SCQM dimensions and two types of quality performance. Downstream QM is found to mediate the relationship between internal QM and customer satisfaction, while there is a lack of direct impact of upstream QM on either type of quality performance.     

Repatriation of European female corporate executives: an empirical study

The increased internationalization of business in recent years has made the understanding of international human resource management problems more important for executives in multinational companies. In recent years, researchers have paid considerable attention to the issues of adjustment of managers to international assignments. Interestingly, comparatively little research has been undertaken on the topic of repatriation, i.e. re-entry and readjustment of international managers and their families to their home countries. Despite the growth of women in international management there are very few studies that document the repatriation experiences of female international managers. In particular, very few studies have been conducted outside North America on the topic of repatriation of female corporate executives. This paper reports on the experiences of re-entry to home organizations and home countries by an exclusively senior sample of female international managers in Western Europe. Based on extensive empirical research, the findings establish that the repatriation phase of the international career move may be even more stressful than expatriation. The findings also establish that female international managers experience more difficulties than their male counterparts because of their pioneering roles. Finally, the paper suggests that home-based mentors and access to networks while abroad are important factors in contributing to the successful repatriation of international managers. The research findings make a theoretical contribution, not only to the analysis of gender and international human resource management but, also, to wider debates within the contemporary women in management and career theory literatures.     

Fiscal forecasting performance in an emerging economy: An empirical assessment of Brazil

This study makes use of Brazilian data to analyze government budget balance forecast errors. Besides the analysis of the quality and efficiency of budget balance forecasts, economic, political, and institutional and governance dimensions are explored. The findings show that the data forecasts have low quality and efficiency. Furthermore, it is observed that the budget forecast error is subject to a backward-looking effect, a bias in the economic growth forecasts, as well as cyclical fluctuations. Finally, electoral cycles represent a source of overestimated forecasts, and strong institutions and governance supported by the public are able to suppress opportunistic motivations in budget forecasts.     

Using nonparametric methods in social surveys: an empirical study

The most common form of data for socio-economic studies comes from survey sampling. Often the designs of such surveys are complex and use stratification as a method for selecting sample units. A parametric regression model is widely employed for the analysis of such survey data. However the use of a parametric model to represent the relationship between the variables can be inappropriate. A natural alternative is to adopt a nonparametric approach. In this article we address the problem of estimating the finite population mean under stratified sampling. A new stratified estimator based on nonparametric regression is proposed for stratification with proportional allocation, optimum allocation and post-stratification. We focus on an educational and labor-related context with natural populations to test the proposed nonparametric method. Simulated populations have also been considered to evaluate the practical performance of the proposed method.     

Determinants of hierarchical structure in industrial firms: an empirical study

The paper investigates implications of different theoretical models for hierarchical structure. A sample of 6,578 firms in the Brazilian manufacturing industry is considered and explanatory factors pertaining to structural characteristics, network technology, technological innovations, managerial innovations and incentive mechanisms are investigated. Important joint effects are detected for all groups of variables in partial contrast with the related previous literature. Moreover, one detects significant joint effect of the newly considered group of incentive variables. The evidence in terms of individual effects is largely consistent with the predicted effects from the theoretical literature.     

Applying real options theory to HRM: an empirical study of IT software firms in India

Environmental uncertainties can impact the market value of a firm's human assets both positively and negatively, and make return on human assets uncertain over time. However, the strategic human resource management (SHRM) literature has so far focused almost exclusively only on the upside value of human assets of a firm. Real options theory can provide the process heuristics as well as the economic logic for guiding investments in human assets to create sustainable market value for firms operating in uncertain environments. In spite of the growth in popularity of the real options approach, no meaningful progress, however, has been made towards application of this approach to HRM. This study, using data from 108 IT software development firms in India, seeks to address this gap and make three important contributions to the SHRM literature: (1) operationalise the concept of HR options by identifying the HR practices that possess option value; (2) investigate how use of HR options affects firm-level performance; and (3) develop and test a causal model that links the various types of HR options that firms use to exploit uncertainties faced by them with the firm-level operational and financial outcomes. The results support the central hypothesis of the article that use of HR options by firms operating in uncertain environments would have positive impact on their operational and financial performance. Significant differences were observed in the nature of linkages between different types of HR options used to address different types of uncertainties, and the operational and financial performance of the firm.     

A methodology to rank enterprise application integration platforms from a performance perspective: an analytic hierarchy process-based approach

ABSTRACT

Companies’ software ecosystems comprise applications that support their business processes. Frequently, these applications have been developed with different technologies and with no concern about integration. Integration platforms are tools that facilitate the development and execution of integration solutions. In this article, we propose a methodology to support software engineers in the decision-making process for an integration platform when performance is a central requirement. The proposed methodology adds objective criteria for performance assessment purposes and has been used to rank the five most popular integration platforms in order to prove its feasibility.     

Propensity to firm creation: empirical research using structural equations

The identification of the entrepreneurs’ characteristics and the knowledge of the entrepreneurial profile of university students have been assuming a growing importance in the development of educational programs directed towards the entrepreneurship and start-up processes. This study aims to identify the factors that most contribute for the intention to start up a business. The research also tries to identify the profile of a potential entrepreneur student concerning several characteristics: personal attributes, family, demographic variables and motivations. Research findings include the idea that entrepreneurship education is the most relevant factor in what concerns the propensity to business creation. On the other side, personal characteristics have an important role in shaping motivation to start-up a business and perceived hurdles have a negative impact in the intention to start-up. The results may be relevant when developing an adequate educational program directed to the entrepreneurship education and start-up processes.