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AbstractSome may argue that corporate social responsibility (CSR) leads companies to shift from a profit‐maximising objective to a more social one, while others argue that CSR enhances value and profitability by attracting, motivating and retaining personnel which, in return, improve customer relations and boost company reputation. The benefits from CSR may be interlinked, if not mutually reinforcing. This paper intends to empirically explore the impact of CSR practices on corporate reputation by analysing the mediation effect of employee commitment in that relationship. A total of 406 questionnaires were collected from 169 corporations in Malaysia. The proposed research model and its associated hypotheses were tested by using partial least squares (PLS) structural equation modelling (SEM). Results revealed that CSR has a positive effect on organisational reputation and that employee commitment mediates the relationship between CSR activities and corporate reputation. The main conclusions of this study can be valuable to organisations that intend to explore or exploit opportunities regarding the implementation of CSR.

Over the past decades several studies aimed to rank the importance of CIO's activities. One aspect that stands out in these studies is the difficulty in finding two studies that agree on the relative importance of CIO's activities. On the one hand, this can be explained by the CIO role evolution. On the other hand, there may be certain variables that influence the perception of the importance of CIO's activities. This paper presents the results of an exploratory study developed to identify the current CIO's main activities and to verify whether CIO's demographics and CIO's business context influence the perception of the importance of those activities. The results show that managing projects, interacting with top management teams, optimizing business processes and making strategic decisions are main CIO's activities; and the importance recognized to these activities is influenced by characteristics such as the CIO's age or the hierarchical structure of the organization.

"This book provides an overview of the field of the Semantic Web, social Web and CRM by uniting various research studies from different subfields, exploring the opportunities and challenges confronting organizations using Web 2.0 and 3.0"--Provided by publisher

PurposeResearch on Science parks (SPs) has attracted a growing interest in the last decades. This widespread innovation policy initiative pursues technology-based industrial and entrepreneurial growth through business development and technology transfer across new and mature firms. Despite the common agreement on SPs' potential benefits, literature have showed mixed results regarding the performance of SPs. To explain this findings, current research pointed out at the lack of a common guiding framework. To cover this knowledge gap, this manuscript proposes an integrative definition and research model together with a multidimensional measurement instrument suitable to encompass the diverse reality of this global phenomenon.Design/methodology/approachBased on a systematic literature review of 281 indexed journal articles published between 1990 and 2018, the paper provides an integrative framework of enabling factors of SPs' performance.FindingsThe results illustrate an integrative conceptual framework of SPs that allows further comparison and generalization of research. At the same time, this manuscript provides valuable insights for managers and entrepreneurs as it conveys a standardized view of SPs' internal context useful for benchmarking.Originality/valueGrounded in the resource-based view (RBV), the paper conducts a thorough literature review to develop an integrative research model featuring three value streams: physical infrastructures, formal links and support services. In addition, a multidimensional measurement tool to operationalize these three dimensions is proposed.

Objeto: La literatura sobre Inteligencia competitiva, como proceso avanzado de gestión de información orientado a apoyar la toma de decisiones estratégicas, se ha centrado hasta el momento en temas relacionados con la definición del concepto y en analizar mediante estudios de casos su aplicación y los resultados obtenidos en grandes empresas y gobiernos. Reconociendo la literatura que la evolución de este tema requiere avanzar en el estudio ampliándolo a otros tipos de organizaciones y profundizar en los efectos que produce la Inteligencia Competitiva. En este sentido, el presente trabajo tiene por objeto analizar en una muestra de pymes los efectos que la utilización de las IC tiene en distintas variables financieras y no financieras. Diseño/metodología/enfoque: El trabajo sigue el esquema clásico de investigación con revisión de la literatura, proposición de hipótesis y aplicación de metodología empírica cuantitativa, recogiendo información mediante cuestionarios enviados por correo electrónico, para el posterior tratamiento y contraste estadístico mediante modelos ANOVA, que permiten obtener resultados y conclusiones. Aportaciones y resultados: El trabajo aporta un enfoque sobre los efectos de la IC en las empresas que van más allá de los predominantes estudios de casos y de las grandes organizaciones. Así, presenta como aportaciones analizar los efectos de la IC en una muestra de pymes y el hacerlo con una metodología empírica cuantitativa buscando relaciones causales mediante variables financieras y no financieras y contrastes de hipótesis. Los resultados obtenidos muestran que la Inteligencia Competitiva mejora la capacidad de adaptación al entorno de las pymes, su capacidad de innovar y contribuye a la generación de valor en el negocio. Limitaciones: La falta en la literatura de trabajos previos centrados en muestras de pymes que permitan tanto servir de guía como establecer comparaciones con el trabajo aquí desarrollado. El tamaño muestral (79 empresas) dificulta la extrapolación de resultados. Además, a futuro sería adecuado identificar más variables de negocio y analizar distintos sectores de actividad. Originalidad / Valor añadido: Este trabajo constituye un paso adelante en la medición de los efectos generados por la Inteligencia Competitiva en las pymes, que permite constatar lo que hasta el momento solo se había analizado con estudios de casos. Además incorpora un enfoque con variables financieras y no financieras que pueden orientar tanto futuras investigaciones, como a las empresas que quieran generar su propio sistema de autoevaluación. ; Purpose: The literature about Competitive Intelligence (CI), as an advanced process of information management orientated towards supporting strategic decision making, has focused on topics related to the definition of the concept and on analyzing its application and the results obtained by large firms and governments through case studies. The literature recognizes that fact that the evolution of this topic creates a need to delve deeper in its study while applying it to other types of organizations and studying the effects that Competitive Intelligence produces in greater depth. Therefore, this study's objective is to analyze the effects that the use of CI has on different financial and not financial variables within a sample of SMEs. Design/methodology: The work follows the classical research scheme with literature review, statement of hypotheses and application of quantitative empirical methodology, collecting information through questionnaires sent by email, for further processing and statistical testing using ANOVA models, which allow get results and conclusions. Findings: This study's contribution comes from providing a new way to focus on the effects of de CI in companies and goes further than most of the studies cases and big companies. Therefore, its contributions are to analyze the effect of the CI within a group of SMEs and, using an empiric methodology, to look for causal relationships through financial and nonfinancial variables and tests on the hypotheses. The results show that Competitive Intelligence improves SMEs' adaptation capacity to their environment, improves their innovation capacity and supports value creation in their businesses. Research limitations/implications: The lack in the literature from previous studies that focused on samples of SMEs makes it possible to provide guidance and to make comparisons with the work that we carried out here. The sample size (79 companies) makes it difficult to extrapolate results. In addition, in the future it would be more appropriate to identify and analyze variables of different business sectors. Originality/value: This work provides a step forward in measuring the effects generated by Competitive Intelligence in SMEs, making it possible to demonstrate that only case studies have been analyzed. It also incorporates an approach using financial and non-financial variables that can guide future research as well as companies that want to generate their own self-assessment systems. ; Peer Reviewed

RESUMEN. La literatura sobre Inteligencia competitiva, como proceso avanzado de gestión de información orientado a apoyar la toma de decisiones estratégicas, se ha centrado hasta el momento en temas relacionados con la definición del concepto y en analizar mediante estudios de casos su aplicación y los resultados obtenidos en grandes empresas y gobiernos. Reconociendo la literatura que la evolución de este tema requiere avanzar en el estudio ampliándolo a otros tipos de organizaciones y profundizar en los efectos que produce la Inteligencia Competitiva. En este sentido, el presente trabajo tiene por objeto analizar en una muestra de pymes los efectos que la utilización de las IC tiene en distintas variables financieras y no financieras. ; ABSTRACT. The literature about Competitive Intelligence (CI), as an advanced process of information management orientated towards supporting strategic decision making, has focused on topics related to the definition of the concept and on analyzing its application and the results obtained by large firms and governments through case studies. The literature recognizes that fact that the evolution of this topic creates a need to delve deeper in its study while applying it to other types of organizations and studying the effects that Competitive Intelligence produces in greater depth. Therefore, this study's objective is to analyze the effects that the use of CI has on different financial and not financial variables within a sample of SMEs.

Objeto: La literatura sobre Inteligencia competitiva, como proceso avanzado de gestión de información orientado a apoyar la toma de decisiones estratégicas, se ha centrado hasta el momento en temas relacionados con la definición del concepto y en analizar mediante estudios de casos su aplicación y los resultados obtenidos en grandes empresas y gobiernos. Reconociendo la literatura que la evolución de este tema requiere avanzar en el estudio ampliándolo a otros tipos de organizaciones y profundizar en los efectos que produce la Inteligencia Competitiva. En este sentido, el presente trabajo tiene por objeto analizar en una muestra de pymes los efectos que la utilización de las IC tiene en distintas variables financieras y no financieras. Diseño/metodología/enfoque: El trabajo sigue el esquema clásico de investigación con revisión de la literatura, proposición de hipótesis y aplicación de metodología empírica cuantitativa, recogiendo información mediante cuestionarios enviados por correo electrónico, para el posterior tratamiento y contraste estadístico mediante modelos ANOVA, que permiten obtener resultados y conclusiones. Aportaciones y resultados: El trabajo aporta un enfoque sobre los efectos de la IC en las empresas que van más allá de los predominantes estudios de casos y de las grandes organizaciones. Así, presenta como aportaciones analizar los efectos de la IC en una muestra de pymes y el hacerlo con una metodología empírica cuantitativa buscando relaciones causales mediante variables financieras y no financieras y contrastes de hipótesis. Los resultados obtenidos muestran que la Inteligencia Competitiva mejora la capacidad de adaptación al entorno de las pymes, su capacidad de innovar y contribuye a la generación de valor en el negocio. Limitaciones: La falta en la literatura de trabajos previos centrados en muestras de pymes que permitan tanto servir de guía como establecer comparaciones con el trabajo aquí desarrollado. El tamaño muestral (79 empresas) dificulta la extrapolación de resultados. Además, a futuro sería adecuado identificar más variables de negocio y analizar distintos sectores de actividad. Originalidad / Valor añadido: Este trabajo constituye un paso adelante en la medición de los efectos generados por la Inteligencia Competitiva en las pymes, que permite constatar lo que hasta el momento solo se había analizado con estudios de casos. Además incorpora un enfoque con variables financieras y no financieras que pueden orientar tanto futuras investigaciones, como a las empresas que quieran generar su propio sistema de autoevaluación. ; Purpose: The literature about Competitive Intelligence (CI), as an advanced process of information management orientated towards supporting strategic decision making, has focused on topics related to the definition of the concept and on analyzing its application and the results obtained by large firms and governments through case studies. The literature recognizes that fact that the evolution of this topic creates a need to delve deeper in its study while applying it to other types of organizations and studying the effects that Competitive Intelligence produces in greater depth. Therefore, this study's objective is to analyze the effects that the use of CI has on different financial and not financial variables within a sample of SMEs. Design/methodology: The work follows the classical research scheme with literature review, statement of hypotheses and application of quantitative empirical methodology, collecting information through questionnaires sent by email, for further processing and statistical testing using ANOVA models, which allow get results and conclusions. Findings: This study's contribution comes from providing a new way to focus on the effects of de CI in companies and goes further than most of the studies cases and big companies. Therefore, its contributions are to analyze the effect of the CI within a group of SMEs and, using an empiric methodology, to look for causal relationships through financial and nonfinancial variables and tests on the hypotheses. The results show that Competitive Intelligence improves SMEs' adaptation capacity to their environment, improves their innovation capacity and supports value creation in their businesses. Research limitations/implications: The lack in the literature from previous studies that focused on samples of SMEs makes it possible to provide guidance and to make comparisons with the work that we carried out here. The sample size (79 companies) makes it difficult to extrapolate results. In addition, in the future it would be more appropriate to identify and analyze variables of different business sectors. Originality/value: This work provides a step forward in measuring the effects generated by Competitive Intelligence in SMEs, making it possible to demonstrate that only case studies have been analyzed. It also incorporates an approach using financial and non-financial variables that can guide future research as well as companies that want to generate their own self-assessment systems. ; Peer Reviewed

PurposeFirms' knowledge-processing capabilities have a central role in achieving innovation performance and competitive advantage. Absorptive capacity capabilities and innovation are viewed as essential for enterprise success. Absorptive capacity is deemed as a highly important organizational capability to recognize value and assimilate both external and internal knowledge in order to enhance firm innovation. The aim of this study is to determine if innovation performance can be improved through absorptive capacity (knowledge acquisition, dissemination and utilization), when it is supported by internal (firm experience) and external knowledge sources (R&D cooperation and contracted R&D).Design/methodology/approachA quantitative methodology based on employing a structured questionnaire was used for data collection. The proposed research model and its associated hypotheses are tested by using Partial Least Squares (PLS) structural equation modelling (SEM) on a data set of 248 manufacturing companies located in the Northern Region of Malaysia.FindingsResults showed that firms' experience is significantly related to absorptive capacity, while for R&D cooperation and contracted R&D findings were mixed. In addition, absorptive capacity was found as a strong predictor of innovation performance.Originality/valueOne of the defining features of competition in many industries has been the extremely rapid pace of technological change, marked by a continuous stream of innovations. Manufacturing firms, therefore, face the challenge of nurturing existing knowledge and developing novel knowledge in order to create new business opportunities. This study makes valuable contributions with regard to understanding the behavioural of manufacturing firms towards process and product innovation.