242,388 research outputs found

    Motivations to volunteer and social capital: the role of intrinsic motivations in promoting networks of cooperative relations

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    Although intrinsic motivations receive increasing attention in explaining human actions, our knowledge on their causes and effects is incomplete. Quite surprisingly, the existing literature fails to consider the relationship between intrinsic motivations and social capital formation. The present paper increases understanding on the effect of intrinsic motivations by studying the role that different motivations to volunteer have on the creation of volunteers’ social capital which is intended as networks of cooperative relations. Our empirical analysis considers three indices of social capital, aimed at measuring both the quantitative (number) and the qualitative (degree of familiarity and cooperation) character of social relations, and intrinsic and extrinsic motivations to volunteer (ideal motivations, the desire to feel useful to others, the pursuit of social recognition and the desire to increase the number of acquaintances or friends). We find that the creation of social capital through participation in voluntary associations is not indifferent to the motivations which induced the volunteer to start his/her unpaid activity. In particular, we show that intrinsic motivations enable people to extend their social networks by creating relations characterized by a significant degree of familiarity. By contrast, extrinsic motivations, and in particular the decision to join an association in order to increase the number of acquaintances or friends, promote the creation of networks from a quantitative point of view, but they do not facilitate the creation of relations based on a particular degree of confidence.Intrinsic Motivations, Social Capital, Volunteer Work, Social Networks

    Social capital and smart growth of the EU countries

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    Social capital according to OECD definition is networks together with shared norms, values and understandings that facilitate co-operation within or among groups. Currently, social capital is identified as a one of the key factors of economic development. Most of the existing literature focuses on the role of social capital for economic growth, meanwhile the purpose of this study is to examine the role which social capital plays in the processes of smart growth in the EU countries. Smart growth is based on knowledge and innovation. The notion of smart growth, its factors and measuring methods are new categories which emerge from the concept of EU's strategic development objectives. The study uses a soft modelling method which allows for measuring and analysis of the relationships among unobserved variables (latent variables)

    The Effect of Social Capital of Entrepreneurs in Entrepreneurial Process

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    Abstract. when many entrepreneurial processes framework identify the role of networking as important part at the start-up development stage, this study have extended the concept of networking and embraced it in the concept of individual social capital of entrepreneurs. However, much of literature on measuring social capital has focused on the quantity of social capital rather than quality made by it. This study will focus and seek to expand the depth and richness of social capital during new venture creation and later identifying the effect of individual social capital in entrepreneurial process. to expand and specify the richness of individual social capital during venture creation, Timmons Model of Entrepreneurial process are used. It considers opportunity, team, and resources as three components for successful new business, and later associate it with Bonding and Bridging and Linking Social Capital of Entrepreneur. The research is mainly expected to provide insight for the business founders and nascent entrepreneurs, help them facing the challenges in starting and running the business, so that they can aware the important of good network and relationship during entrepreneurial process. The focus is to describe how individual social capital of entrepreneur’s networks can affect their own business. This study only considers social capital in individual level and ignore social capital on collective level. This study uses qualitative approach and conducts semi-structured interview with 10 entrepreneurs operating on various industry and various background in Bandung to enhance the Social Capital variety of this study. The Result of This Study shows that individual social capital playing major role during entrepreneurial process. having family and close friends in business, and as well encouragement from family and close friends are strongly associated with successful nascent outcomes. the good social capital of founder’s will be result in better business. We also found as the company grow bigger, the result looks indicate that bridging social capital and linking social capital increasingly become more important, it reveal that bridging social capital connection of entrepreneur’s link it into specific networking and knowledge which may be not available in Bonding Social Capital ties. Overall, Individual social capital exists and affecting entrepreneur’s entrepreneurial process conscious or unconsciously. Suggestion for future research regarding this topic is qualitative study that including personality and environment and relationship or correlation between individual social capital in opportunity, team, and resource aspect of new venture creation. Keywords: Individual Social Capital, Nascent Entrepreneur, Entrepreneurial Process, Start-upÂ

    Social capital in industrial districts: Influence of the strength of ties and density of the network on the sense of belonging to the district

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    This is the accepted version of the following article: Molina-Morales, F.X.; Capó-Vicedo, J.; Mª Teresa Martínez Fernández; Expósito Langa, M. (2013). Social capital in industrial districts: Influence of the strength of ties and density of the network on the sense of belonging to the district. Papers in Regional Science. 92(4):773-789. doi:10.1111/j.1435-5957.2012.00463.x, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/j.1435-5957.2012.00463.x/pdf.A sense of belonging is a crucial factor determining the identification of the firms in industrial districts. From the social capital perspective, this paper analyses how the structural and relational dimensions of social capital determine a firm's sense of belonging to the industrial district. The study analyses a sample of 213 companies belonging to two Spanish industrial districts. Results of the survey offer an important contribution to the specific literature by finding the explanatory factors with which to distinguish between groups according to their level of embeddedness in the district.Molina Morales, FX.; Capó-Vicedo, J.; Martínez Fernández, MT.; Expósito Langa, M. (2013). Social capital in industrial districts: Influence of the strength of ties and density of the network on the sense of belonging to the district. Papers in Regional Science. 92(4):773-789. doi:10.1111/j.1435-5957.2012.00463.xS773789924Aharonson, B. S., Baum, J. A. C., & Plunket, A. (2008). Inventive and uninventive clusters: The case of Canadian biotechnology. Research Policy, 37(6-7), 1108-1131. doi:10.1016/j.respol.2008.04.008Antonelli, C. (2000). Collective Knowledge Communication and Innovation: The Evidence of Technological Districts. Regional Studies, 34(6), 535-547. doi:10.1080/00343400050085657Asheim, B. T. (1996). Industrial districts as ‘learning regions’: A condition for prosperity. European Planning Studies, 4(4), 379-400. doi:10.1080/09654319608720354Bell, G. G. (2005). Clusters, networks, and firm innovativeness. Strategic Management Journal, 26(3), 287-295. doi:10.1002/smj.448Bell, G. G., & Zaheer, A. (2007). Geography, Networks, and Knowledge Flow. Organization Science, 18(6), 955-972. doi:10.1287/orsc.1070.0308Belussi, F., & Sedita, S. R. (2009). Life Cycle vs. Multiple Path Dependency in Industrial Districts. European Planning Studies, 17(4), 505-528. doi:10.1080/09654310802682065Boschma, R. A., & ter Wal, A. L. J. (2007). Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy. Industry & Innovation, 14(2), 177-199. doi:10.1080/13662710701253441Breschi, S. (2001). Knowledge Spillovers and Local Innovation Systems: A Critical Survey. Industrial and Corporate Change, 10(4), 975-1005. doi:10.1093/icc/10.4.975Breschi, S., & Lissoni, F. (2001). Localised knowledge spillovers vs. innovative milieux: Knowledge «tacitness» reconsidered. Papers in Regional Science, 80(3), 255-273. doi:10.1007/pl00013627Brown, D. W., & Konrad, A. M. (2001). Granovetter Was Right. Group & Organization Management, 26(4), 434-462. doi:10.1177/1059601101264003Capello, R. (1999). Spatial Transfer of Knowledge in High Technology Milieux: Learning Versus Collective Learning Processes. Regional Studies, 33(4), 353-365. doi:10.1080/00343409950081211Capello, R. (2002). Spatial and Sectoral Characteristics of Relational Capital in Innovation Activity. European Planning Studies, 10(2), 177-200. doi:10.1080/09654310120114481Coleman, J. S. (1988). Social Capital in the Creation of Human Capital. American Journal of Sociology, 94, S95-S120. doi:10.1086/228943Cooke, P. (2002). Knowledge Economies. doi:10.4324/9780203445402Propris, L. D., Menghinello, S., & Sugden, R. (2008). The internationalisation of production systems: embeddedness, openness and governance. Entrepreneurship & Regional Development, 20(6), 493-515. doi:10.1080/08985620802462074Gargiulo, M., & Benassi, M. (2000). Trapped in Your Own Net? Network Cohesion, Structural Holes, and the Adaptation of Social Capital. Organization Science, 11(2), 183-196. doi:10.1287/orsc.11.2.183.12514Gellynck, X., Vermeire, B., & Viaene, J. (2007). Innovation in food firms: contribution of regional networks within the international business context. Entrepreneurship & Regional Development, 19(3), 209-226. doi:10.1080/08985620701218395Geringer, J. M., Tallman, S., & Olsen, D. M. (2000). Product and international diversification among Japanese multinational firms. Strategic Management Journal, 21(1), 51-80. doi:10.1002/(sici)1097-0266(200001)21:13.0.co;2-kGertler, M. S. (2010). Rules of the Game: The Place of Institutions in Regional Economic Change. Regional Studies, 44(1), 1-15. doi:10.1080/00343400903389979Giuliani, E. (2007). The selective nature of knowledge networks in clusters: evidence from the wine industry. Journal of Economic Geography, 7(2), 139-168. doi:10.1093/jeg/lbl014Giuliani, E., & Bell, M. (2005). The micro-determinants of meso-level learning and innovation: evidence from a Chilean wine cluster. Research Policy, 34(1), 47-68. doi:10.1016/j.respol.2004.10.008Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360-1380. doi:10.1086/225469Granovetter, M. (1985). Economic Action and Social Structure: The Problem of Embeddedness. American Journal of Sociology, 91(3), 481-510. doi:10.1086/228311Hill, E. W., & Brennan, J. F. (2000). A Methodology for Identifying the Drivers of Industrial Clusters: The Foundation of Regional Competitive Advantage. Economic Development Quarterly, 14(1), 65-96. doi:10.1177/089124240001400109Hundley, G., & Jacobson, C. K. (1998). The effects of the keiretsu on the export performance of Japanese companies: help or hindrance? Strategic Management Journal, 19(10), 927-937. doi:10.1002/(sici)1097-0266(199810)19:103.0.co;2-1Kale, P., Singh, H., & Perlmutter, H. (2000). Learning and protection of proprietary assets in strategic alliances: building relational capital. Strategic Management Journal, 21(3), 217-237. doi:10.1002/(sici)1097-0266(200003)21:33.0.co;2-yKautonen, T., Zolin, R., Kuckertz, A., & Viljamaa, A. (2010). Ties that blind? How strong ties affect small business owner-managers’ perceived trustworthiness of their advisors. Entrepreneurship & Regional Development, 22(2), 189-209. doi:10.1080/08985620903168265Kono, C., Palmer, D., Friedland, R., & Zafonte, M. (1998). Lost in Space: The Geography of Corporate Interlocking Directorates. American Journal of Sociology, 103(4), 863-911. doi:10.1086/231292Larson, A. (1992). Network Dyads in Entrepreneurial Settings: A Study of the Governance of Exchange Relationships. Administrative Science Quarterly, 37(1), 76. doi:10.2307/2393534Leana, C. R., & Van Buren, H. J. (1999). Organizational Social Capital and Employment Practices. Academy of Management Review, 24(3), 538-555. doi:10.5465/amr.1999.2202136Lissoni, F. (2001). Knowledge codification and the geography of innovation: the case of Brescia mechanical cluster. Research Policy, 30(9), 1479-1500. doi:10.1016/s0048-7333(01)00163-9Malipiero A Muñari F Sobrero M 2005 Focal firms as technological gatekeepers within industrial districts: Knowledge creation and dissemination in the Italian packaging machinery industryMcEvily, B., & Zaheer, A. (1999). Bridging ties: a source of firm heterogeneity in competitive capabilities. Strategic Management Journal, 20(12), 1133-1156. doi:10.1002/(sici)1097-0266(199912)20:123.0.co;2-7MOLINA-MORALES, F. X., & MARTÍNEZ-FERNAÁNDEZ, M. T. (2003). The Impact of Industrial District Affiliation on Firm Value Creation. European Planning Studies, 11(2), 155-170. doi:10.1080/0965431032000072855Molina-Morales, F. X., & Martínez-Fernández, M. T. (2004). Factors That Identify Industrial Districts: An Application in Spanish Manufacturing Firms. Environment and Planning A: Economy and Space, 36(1), 111-126. doi:10.1068/a3618Molina-Morales, F. X., & Martínez-Fernández, M. T. (2008). Shared Resources in Industrial Districts: Information, Know-How and Institutions in the Spanish Tile Industry. International Regional Science Review, 31(1), 35-61. doi:10.1177/0160017607306327Molina-Morales, F. X., & Martínez-Fernández, M. T. (2009). Does homogeneity exist within industrial districts? A social capital-based approach*. Papers in Regional Science, 88(1), 209-229. doi:10.1111/j.1435-5957.2008.00177.xMolina-Morales, F. X., & Martínez-Fernández, M. T. (2010). Social Networks: Effects of Social Capital on Firm Innovation. Journal of Small Business Management, 48(2), 258-279. doi:10.1111/j.1540-627x.2010.00294.xMoreno, A. M., & Casillas, J. C. (2007). High-growth SMEs versus non-high-growth SMEs: a discriminant analysis. Entrepreneurship & Regional Development, 19(1), 69-88. doi:10.1080/08985620601002162Morrison, A. (2008). Gatekeepers of Knowledgewithin Industrial Districts: Who They Are, How They Interact. Regional Studies, 42(6), 817-835. doi:10.1080/00343400701654178Morrison A Rabellotti R 2005 Knowledge and information networks: Evidence from an Italian wine local systemNahapiet, J., & Ghoshal, S. (1998). Social Capital, Intellectual Capital, and the Organizational Advantage. Academy of Management Review, 23(2), 242-266. doi:10.5465/amr.1998.533225Paniccia, I. (1998). One, a Hundred, Thousands of Industrial Districts. Organizational Variety in Local Networks of Small and Medium-sized Enterprises. Organization Studies, 19(4), 667-699. doi:10.1177/017084069801900406Parrilli, M. D. (2009). Collective efficiency, policy inducement and social embeddedness: Drivers for the development of industrial districts. Entrepreneurship & Regional Development, 21(1), 1-24. doi:10.1080/08985620801886513Parrilli, M. D., & Sacchetti, S. (2008). Linking learning with governance in networks and clusters: key issues for analysis and policy. Entrepreneurship & Regional Development, 20(4), 387-408. doi:10.1080/08985620801886463Portes, A., & Sensenbrenner, J. (1993). Embeddedness and Immigration: Notes on the Social Determinants of Economic Action. American Journal of Sociology, 98(6), 1320-1350. doi:10.1086/230191Putnam, R. D. (1995). Bowling Alone: America’s Declining Social Capital. Journal of Democracy, 6(1), 65-78. doi:10.1353/jod.1995.0002Raub, W., & Weesie, J. (1990). Reputation and Efficiency in Social Interactions: An Example of Network Effects. American Journal of Sociology, 96(3), 626-654. doi:10.1086/229574Robinson, D. K. R., Rip, A., & Mangematin, V. (2007). Technological agglomeration and the emergence of clusters and networks in nanotechnology. Research Policy, 36(6), 871-879. doi:10.1016/j.respol.2007.02.003Rowley, T., Behrens, D., & Krackhardt, D. (2000). Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries. Strategic Management Journal, 21(3), 369-386. doi:10.1002/(sici)1097-0266(200003)21:33.0.co;2-mRychen, F., & Zimmermann, J.-B. (2008). Clusters in the Global Knowledge-based Economy: Knowledge Gatekeepers and Temporary Proximity. Regional Studies, 42(6), 767-776. doi:10.1080/00343400802088300Sammarra, A., & Biggiero, L. (2008). Heterogeneity and Specificity of Inter-Firm Knowledge Flows in Innovation Networks. Journal of Management Studies, 45(4), 800-829. doi:10.1111/j.1467-6486.2008.00770.xSignorini, L. F. (2005). THE PRICE OF PRATO, OR MEASURING THE INDUSTRIAL DISTRICT EFFECT. Papers in Regional Science, 73(4), 369-392. doi:10.1111/j.1435-5597.1994.tb00620.xStaber, U. (2001). The Structure of Networks in Industrial Districts. International Journal of Urban and Regional Research, 25(3), 537-552. doi:10.1111/1468-2427.00328JOHN, C. H., & POUDER, R. W. (2006). Technology Clusters versus Industry Clusters: Resources, Networks, and Regional Advantages. Growth and Change, 37(2), 141-171. doi:10.1111/j.1468-2257.2006.00313.xSuchman MC 1994 On advice of counsel: Law firms and venture capital funds as information intermediaries in the structuration of Silicon ValleyTrigilia, C. (2001). Social Capital and Local Development. European Journal of Social Theory, 4(4), 427-442. doi:10.1177/13684310122225244Tsai, W., & Ghoshal, S. (1998). SOCIAL CAPITAL AND VALUE CREATION: THE ROLE OF INTRAFIRM NETWORKS. Academy of Management Journal, 41(4), 464-476. doi:10.2307/257085Uzzi, B. (1996). The Sources and Consequences of Embeddedness for the Economic Performance of Organizations: The Network Effect. American Sociological Review, 61(4), 674. doi:10.2307/2096399Uzzi, B. (1997). Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness. Administrative Science Quarterly, 42(1), 35. doi:10.2307/2393808Westlund, H., & Bolton, R. (2003). Small Business Economics, 21(2), 77-113. doi:10.1023/a:1025024009072Wilson, P. A. (1997). Building Social Capital: A Learning Agenda for the Twenty-first Century. Urban Studies, 34(5-6), 745-760. doi:10.1080/0042098975808Woolcock, M., & Narayan, D. (2000). Social Capital: Implications for Development Theory, Research, and Policy. The World Bank Research Observer, 15(2), 225-249. doi:10.1093/wbro/15.2.225Yli-Renko, H., Autio, E., & Sapienza, H. J. (2001). Social capital, knowledge acquisition, and knowledge exploitation in young technology-based firms. Strategic Management Journal, 22(6-7), 587-613. doi:10.1002/smj.18

    The significance of professional, personal and business networks to academic entrepreneurs.

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    The degree of informational support academic scientists acquired from social network is associated with greater perceived feasibility that may influence their involvement in the research commercialization. Social capital has been commonly assessed by measuring the number of direct contacts from business and industry networks as well as the frequency of establishing new contacts. These approaches, however, have not adequately explained how social capital is beneficial to their entrepreneurial endeavor. This paper attempts to validate social capital as a formative construct using partial least squares structural equation modeling (PLS-SEM) to explore the relative importance of personal, professional and business networks to academic entrepreneurs in their technology transfer pursuit. A sample of 115 academic entrepreneurs of a Malaysia public research university was surveyed. The analyses of formative measurement model to evaluate construct validity, collinearity and significance of indicators revealed that scientists’ personal network is the most important social resource that facilitate and encourage them in the technology transfer pursuit, followed with business partners and potential investors. Although scientists have a large professional network through their attendance to conference, workshops and seminars, however, these platforms are often themed to focus more on sharing scientific knowledge rather than on academic entrepreneurship

    Measuring Transport Resilience: A Manawatu-Wanganui Region Case Study

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    The resilience of transport networks is attracting greater scrutiny at the international, national and sub-national levels. This research report explores the current state of knowledge about measuring transport resilience and presents a case study to address the question is: How resilient is the road and rail infrastructure in the Manawatu-Wanganui Region? This region in New Zealand’s lower North Island provides an interesting case study due to its strategic location in the North Island’s and indeed New Zealand’s transport network. In addition, it has experienced significant disruptions in the recent past, most notably widespread failures caused by flooding in 2004, and the lengthy closure of a significant inter-regional road connection, the Manawatu Gorge State Highway 3 road, due to a landslide in 2011-2012. It also provides an opportunity to explore this topic outside of a major metropolitan region. The region’s transport networks and infrastructure also have important social and economic functions. This research report is structured around a proposed Transport Resilience Indicator Framework (RIF) which explores six key dimensions of transport infrastructure resilience: engineering, services, ecological, social, economic and institutional. This holistic approach to measuring transport resilience and is envisaged to accommodate both qualitative and quantitative indicators. Within this framework, data were gathered via analysis of secondary sources and nine key informant interviews. The interview participants were from public sector agencies responsible for managing aspects of the region’s transport network, the private sector and one social service provider. The participants had considerable knowledge relating to the planning of the road network and/or its economic and social significance. They also had knowledge of the impacts and/or management of recent disruptions. The institutions responsible for managing the region’s transport network can identify vulnerabilities in the network, but can also collaborate and learn from past disruptions. Concerns were expressed about the level of funding for maintaining and upgrading the region’s transport networks, particularly for territorial authorities with large networks and small rates bases. The region is strongly dependent on the roading network, with limited alternatives during roading network disruptions. It proved difficult to quantify the environmental impacts of transport disruptions. A case study of the response of a local ii health shuttle service provided an example of how a community, by drawing on social capital, was able to adapt and respond appropriately to a transport disruption. One key area identified for further research is assessing the capacity of private contractors to respond to natural hazard events of varying magnitudes. The RIF could also be strengthened by the use of indicators based on quantitative data, in addition to qualitative data. It is suggested that one method of achieving this could this could be to adopt a multi-disciplinary approach, drawing on expertise, methods and perspectives from related professions, such as engineering and economics. [Executive summary
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