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on Knowledge Management and Knowledge Economy |
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Issue of 2020‒01‒20
six papers chosen by Laura Ştefănescu Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Renai Jiang (School of Economics and Finance, Xian Jiaotong University); Daniel Tortorice (Department of Economics, College of the Holy Cross); Zhaohui Xuan (Chinese Academy of Science and Technology for Development) |
| Abstract: | We use a novel, fifteen-year panel dataset on China’s system of research institutes to examine the determinates of knowledge production, the role external factors play in increasing research productivity, and the extent to which distance mitigates these spillovers. We find robust evidence that knowledge inputs like R&D personnel increase patenting and publication. External R&D spending in the institute’s province and the institute’s industry knowledge stock spill over into increased knowledge production. We find that being located on average farther from institutes engaged in similar research reduces the impact of these spillovers. These results have important policy implications as China attempts to increase economic activity away from the coast and aims to improve the productivity of its research institute sector. |
| Keywords: | China, R&D, Research Policy, Knowledge Spillovers |
| JEL: | O31 O32 O33 L2 |
| Date: | 2019–12 |
| URL: | http://d.repec.org/n?u=RePEc:hcx:wpaper:1910&r=all |
| By: | Fischer, Caroline |
| Abstract: | This paper examines the construct of knowledge sharing motivation (KSM) and develops a scale to measure knowledge sharing motives. Following the Rubicon model (Heckhausen 1989) the author suggests that KSM and knowledge sharing behaviour (KSB) are different stages in the process of human behavior which alternate and affect each other but are by no means identical. Hence, knowledge sharing motivation cannot be measured by knowledge sharing behavior, which is done in the literature up to now. According to theories of human needs and motives, several dimensions of knowledge sharing motivation are suggested. Furthermore, qualitative data and peer review were used to generate items. The constructed scale of KSM is tested with survey data of 355 German public employees from 2017. An exploratory factor analysis indicates a clear separation of knowledge sharing motivation and behavior. The analysis indicates three dimensions of KSM, namely appreciation, growth and altruism, and extrinsic rewards. A confirmatory factor analysis using structural equation modeling confirms the results. The developed construct of KSM shows an acceptable model fit. Hence, the scale can be used as a basis for further research on knowledge sharing. Practitioners might use the developed scale to assess knowledge sharing motivation of employees in their organization as a basis for the design of management practices that foster knowledge sharing. |
| Date: | 2018–09–24 |
| URL: | http://d.repec.org/n?u=RePEc:osf:osfxxx:r5xba&r=all |
| By: | Madison, Michael J (University of Pittsburgh); Frischmann, Brett M.; Strandburg, Katherine J |
| Abstract: | This chapter provides an introduction to and overview of the knowledge commons research framework. Knowledge commons refers to an institutional approach (commons) to governing the production, use, management, and/or preservation of a particular type of resource (knowledge). The research framework supplies a template for interrogating the details of knowledge commons institutions on a case study basis, generating qualitative data that may be used to support comparative analysis. |
| Date: | 2019–06–17 |
| URL: | http://d.repec.org/n?u=RePEc:osf:lawarx:avxf5&r=all |
| By: | Bleeker, Amelia |
| Abstract: | This study investigates the role that information and communication technologies (ICT) and knowledge management (KM) are playing in supporting sustainable development across islands in these countries. Focusing on the areas of health, education and governance, the study uses the multi-island countries of Saint Kitts and Nevis, Trinidad and Tobago, and Turks and Caicos Islands as case studies to explore inter-island differences in ICT and KM capacity and the scope for strengthening this capacity. It concludes with a series of recommendations for governments of Caribbean multi-island countries working to strengthen ICT and KM capacity across islands as well as areas for further analysis and investigation. |
| Keywords: | GESTION DEL CONOCIMIENTO, TECNOLOGIA DE LA INFORMACION, TECNOLOGIA DE LAS COMUNICACIONES, PAISES INSULARES EN DESARROLLO, POLITICA DE DESARROLLO, ESTRATEGIAS DEL DESARROLLO, DESARROLLO DE CAPACIDAD, POBLACION, GOBERNABILIDAD, SALUD, EDUCACION, AGENDA 2030 PARA EL DESARROLLO SOSTENIBLE, GOBIERNO ELECTRONICO, OBJETIVOS DE DESARROLLO SOSTENIBLE, KNOWLEDGE MANAGEMENT, INFORMATION TECHNOLOGY, COMMUNICATION TECHNOLOGY, DEVELOPING ISLAND COUNTRIES, DEVELOPMENT POLICY, DEVELOPMENT STRATEGIES, CAPACITY DEVELOPMENT, POPULATION, GOVERNANCE, HEALTH, EDUCATION, 2030 AGENDA FOR SUSTAINABLE DEVELOPMENT, E-GOVERNMENT, SUSTAINABLE DEVELOPMENT GOALS |
| Date: | 2020–01–09 |
| URL: | http://d.repec.org/n?u=RePEc:ecr:col033:45064&r=all |
| By: | Bruno Van Pottelsberghe |
| Abstract: | This introductory chapter summarizes 20 years of research activities, which started at Universit´e libre de Bruxelles (ULB) with a four-year scholarship in 1992. These years are tainted by a focus on empirical research, by intensive local and international collaborations, and by a series of fieldexperiences which became key sources of inspiration and gradually improved the contextualization of the research projects I was involved with. The broad research contributions I have been involved with are twofold: I started with the effectiveness of science and technology policies, and then focused on the effectiveness of patent systems. Effectiveness has two meanings. The first one is related to the systematic search for improvement, the constant questioning of status quo, of existing policies, with the identification of their strengths and weaknesses. The second meaning of effectiveness is related to the improvement of data and metrics needed to properly analyze policy tools, and the search for more appropriate indicators. The papers presented in this book all aim at improving metrics and using new data and indicators in order to contribute to improve our knowledge on whether and how policy tools work. The effectiveness of science and technology policies is assessed through their impact on research and development (R&D) efforts and on growthprospects. We have investigated to what extent and under which circumstances R&D subsidies and R&D tax credits stimulate private R&D and contribute to productivity growth. The effectiveness of patent systems is assessed through the lenses of their costs, their operational design, theirtransparency and the stringency of the examination processes. The outcome of these 20 years of research includes about 60 publications in international peer reviewed scientific journals and one co-authored book published by Oxford University Press. Each of these publications was a small challenge, at least the way I perceived it. We had to reach a final version, present it at conferences, submit it for publication, cope with sometimes tough referees, dive again into the paper more than a year later and implement the required changes, and re-submit it with a polite letter to the referees and the editor. The main common denominator I would chose to summarize my research experience is ‘mobility’, defined in its broadest sense: mobility or flexibility with respect to career expectations, with respect to internationalization, with respect to institutional experience, and with respect to collaborations. The sources of inspiration of most papers were nearly systematically drawn from my professional experience. For instance, the priority issues that had to be tackled by the Research Institute of the Ministry of External Trade and Industry (METI) when I was visiting researcher, the benchmarking exercises requested by the Organisation for Economic Co-operation and Development (OECD) task forces when I was full-time consultant in Paris, and several debates which took place at the board of the European Patent Office when I was its Chief Economist had a direct influence on the research projects I later worked on. |
| Keywords: | learning, research, innovation Economics |
| Date: | 2020–01 |
| URL: | http://d.repec.org/n?u=RePEc:ict:wpaper:2013/299526&r=all |
| By: | Serenella Caravella; Francesco Crespi; Dario Guarascio; Matteo Tubiana |
| Abstract: | The present paper explores the demand-pull effect of distinct demand sources (i.e. households and retailers, other firms and public sector) on Italian companies' growth patterns. Data relies on the PEC (Indagine sulle Professioni e le Competenze) survey carried out by the Institute for Public Policy Analysis (INAPP), which provides a rich set of information on a representative sample of Italian companies (~32.000) observed during the years 2012, 2014 and 2017. In particular, we investigate if and to what extent firm-level growth profiles are linked to the prevalent source of the demand flows that such firms face. The analysis contextually accounts for the role played by technological and knowledge-related heterogeneities in shaping the growth pattern-demand type relationship. The empirical analysis shows that the demand-pull effect on firms' growth is heterogeneous across different types of demand sources and that the ability to seize the growth-related chances provided by distinct demand conditions is contingent on firms' specific knowledge profiles. |
| Keywords: | firms; growth; demand-pull; innovation. |
| Date: | 2020–01–09 |
| URL: | http://d.repec.org/n?u=RePEc:ssa:lemwps:2020/01&r=all |