Tomistes i Lul·listes al segle XVIII a Santa Maria del Camí

Abstract not availabl

El Beat Ramon Llull a la Vila de Santa Maria del Camí

Abstract not availabl

Biometria del Virot (Calonectris diomedea) a l'illa de Menorca (illes Balears-Mediterrani Occidental)

L'anàlisi de les dades biomètriques de la baldriga cendrosa de Menorca van indicar que les principals diferències entre sexes estaven al bec, tars i pes. El resultat de multiplicar la longitud del bec per la profunditat del bec va ser sempre major de 638,3 pels mascles i menys de 603,7 per a les femelles. La comparació amb d'altres colònies del Mediterrani van revelar una variació significant, tot i que només es van trobar diferències en totes les mesures en la colònia més llunyana de Menorca (Creta-Mar Egeu). A les colònies mediterrànies hi ha un progressiu augment en la mida dels ocells des de l'est a l'oest

A social network-based organizational model for improving knowledge management in supply chains

Purpose: This paper aims to provide a social network-based model for improving knowledge management in multi-level supply chains formed by small and medium-sized enterprises (SMEs). Design/methodology/approach: This approach uses social network analysis techniques to propose and represent a knowledge network for supply chains. Also, an empirical experience from an exploratory case study in the construction sector is presented. Findings: This proposal improves the establishment of inter-organizational relationships into networks to exchange the knowledge among the companies along the supply chain and create specific knowledge by promoting confidence and motivation. Originality/value: This proposed model is useful for academics and practitioners in supply chain management to gain a better understanding of knowledge management processes, particularly for the supply chains formed by SMEs. © Emerald Group Publishing Limited.Capó-Vicedo, J.; Mula, J.; Capó I Vicedo, J. (2011). A social network-based organizational model for improving knowledge management in supply chains. Supply Chain Management: An International Journal. 16(5):379-388. doi:10.1108/13598541111155884S379388165Archer, N., Wang, S., & Kang, C. (2008). Barriers to the adoption of online supply chain solutions in small and medium enterprises. Supply Chain Management: An International Journal, 13(1), 73-82. doi:10.1108/13598540810850337Arend, R. J., & Wisner, J. D. (2005). Small business and supply chain management: is there a fit? Journal of Business Venturing, 20(3), 403-436. doi:10.1016/j.jbusvent.2003.11.003BERNARDES, E. S. (2010). THE EFFECT OF SUPPLY MANAGEMENT ON ASPECTS OF SOCIAL CAPITAL AND THE IMPACT ON PERFORMANCE: A SOCIAL NETWORK PERSPECTIVE. Journal of Supply Chain Management, 46(1), 45-55. doi:10.1111/j.1745-493x.2009.03185.xBORGATTI, S. P., & LI, X. (2009). ON SOCIAL NETWORK ANALYSIS IN A SUPPLY CHAIN CONTEXT. Journal of Supply Chain Management, 45(2), 5-22. doi:10.1111/j.1745-493x.2009.03166.xBorgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network Analysis in the Social Sciences. Science, 323(5916), 892-895. doi:10.1126/science.1165821Boschma, 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:10.1080/13662710701253441Cadilhon, J.J. and Fearne, A.P. (2005), “Lessons in collaboration: a case study from Vietnam”,Supply Chain Management Review, Vol. 9 No. 4, pp. 11‐12.Carter, C. R., Ellram, L. M., & Tate, W. (2007). THE USE OF SOCIAL NETWORK ANALYSIS IN LOGISTICS RESEARCH. Journal of Business Logistics, 28(1), 137-168. doi:10.1002/j.2158-1592.2007.tb00235.xChen, I. J., & Paulraj, A. (2004). Understanding supply chain management: critical research and a theoretical framework. International Journal of Production Research, 42(1), 131-163. doi:10.1080/00207540310001602865Cheng, J., Yeh, C., & Tu, C. (2008). Trust and knowledge sharing in green supply chains. Supply Chain Management: An International Journal, 13(4), 283-295. doi:10.1108/13598540810882170CHOI, T. Y., & WU, Z. (2009). TRIADS IN SUPPLY NETWORKS: THEORIZING BUYER-SUPPLIER-SUPPLIER RELATIONSHIPS. Journal of Supply Chain Management, 45(1), 8-25. doi:10.1111/j.1745-493x.2009.03151.xCrone, M., & Roper, S. (2001). Local Learning from Multinational Plants: Knowledge Transfers in the Supply Chain. Regional Studies, 35(6), 535-548. doi:10.1080/00343400120065705Egbu, C. O., Hari, S., & Renukappa, S. H. (2005). Knowledge management for sustainable competitiveness in small and medium surveying practices. Structural Survey, 23(1), 7-21. doi:10.1108/02630800510586871Fong, P. S. W., & Kwok, C. W. C. (2009). Organizational Culture and Knowledge Management Success at Project and Organizational Levels in Contracting Firms. Journal of Construction Engineering and Management, 135(12), 1348-1356. doi:10.1061/(asce)co.1943-7862.0000106Giannakis, M. (2008). Facilitating learning and knowledge transfer through supplier development. Supply Chain Management: An International Journal, 13(1), 62-72. doi:10.1108/13598540810850328Giuliani, 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.2004.10.008Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(1/2), 71-87. doi:10.1108/01443570110358468Hogarth‐Scott, S. (1999). Retailer‐supplier partnerships: hostages to fortune or the way forward for the millennium? British Food Journal, 101(9), 668-682. doi:10.1108/00070709910288865Javernick-Will, A. N., & Scott, W. R. (2010). Who Needs to Know What? Institutional Knowledge and Global Projects. Journal of Construction Engineering and Management, 136(5), 546-557. doi:10.1061/(asce)co.1943-7862.0000035Johnsen, T. E., Johnsen, R. E., & Lamming, R. C. (2008). Supply relationship evaluation: European Management Journal, 26(4), 274-287. doi:10.1016/j.emj.2007.10.001Kinder, T. (2003). Go with the flow—a conceptual framework for supply relations in the era of the extended enterprise. Research Policy, 32(3), 503-523. doi:10.1016/s0048-7333(02)00021-5Lambert, D. M., Cooper, M. C., & Pagh, J. D. (1998). Supply Chain Management: Implementation Issues and Research Opportunities. The International Journal of Logistics Management, 9(2), 1-20. doi:10.1108/09574099810805807Lamming, R., Caldwell, N., & Phillips, W. (2006). A Conceptual Model of Value-Transparency in Supply. European Management Journal, 24(2-3), 206-213. doi:10.1016/j.emj.2006.03.010Lamming, R., Caldwell, N., Phillips, W., & Harrison, D. (2005). Sharing Sensitive Information in Supply Relationships: European Management Journal, 23(5), 554-563. doi:10.1016/j.emj.2005.09.010Levy, M., Loebbecke, C., & Powell, P. (2003). SMEs, co-opetition and knowledge sharing: the role of information systems. European Journal of Information Systems, 12(1), 3-17. doi:10.1057/palgrave.ejis.3000439McCarthy, T. M., & Golicic, S. L. (2002). Implementing collaborative forecasting to improve supply chain performance. International Journal of Physical Distribution & Logistics Management, 32(6), 431-454. doi:10.1108/09600030210437960Malhotra, A., Gosain, S. and El Sawy, O.A. (2001), “Absorptive capacity configurations in supply chains: gearing for partner‐enabled market knowledge creation”,MIS Quarterly, Vol. 29 No. 1, pp. 145‐87.Matopoulos, A., Vlachopoulou, M., Manthou, V., & Manos, B. (2007). A conceptual framework for supply chain collaboration: empirical evidence from the agri‐food industry. Supply Chain Management: An International Journal, 12(3), 177-186. doi:10.1108/13598540710742491Mentzas, G., Apostolou, D., Kafentzis, K., & Georgolios, P. (2006). Inter-organizational networks for knowledge sharing and trading. Information Technology and Management, 7(4), 259-276. doi:10.1007/s10799-006-0276-8Morrison, 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. (2009). Knowledge and Information Networks in an Italian Wine Cluster. European Planning Studies, 17(7), 983-1006. doi:10.1080/09654310902949265Newell, S., Bresnen, M., Edelman, L., Scarbrough, H., & Swan, J. (2006). Sharing Knowledge Across Projects. Management Learning, 37(2), 167-185. doi:10.1177/1350507606063441Nonaka, I. (1994). A Dynamic Theory of Organizational Knowledge Creation. Organization Science, 5(1), 14-37. doi:10.1287/orsc.5.1.14Ozkul, A., & Barut, M. (2009). Measuring supply chain relationships: a social network approach. International Journal of Integrated Supply Management, 5(1), 38. doi:10.1504/ijism.2009.026204Ramírez-Pasillas, M. (2010). International trade fairs as amplifiers of permanent and temporary proximities in clusters. Entrepreneurship & Regional Development, 22(2), 155-187. doi:10.1080/08985620902815106Sanderson, J., & Cox, A. (2008). The challenges of supply strategy selection in a project environment: evidence from UK naval shipbuilding. Supply Chain Management: An International Journal, 13(1), 16-25. doi:10.1108/13598540810850283Seggie, S. H., Kim, D., & Cavusgil, S. T. (2006). Do supply chain IT alignment and supply chain interfirm system integration impact upon brand equity and firm performance? Journal of Business Research, 59(8), 887-895. doi:10.1016/j.jbusres.2006.03.005Soosay, C. A., Hyland, P. W., & Ferrer, M. (2008). Supply chain collaboration: capabilities for continuous innovation. Supply Chain Management: An International Journal, 13(2), 160-169. doi:10.1108/13598540810860994Vaaland, T. I., & Heide, M. (2007). Can the SME survive the supply chain challenges? Supply Chain Management: An International Journal, 12(1), 20-31. doi:10.1108/13598540710724374Venters, W., Cornford, T., & Cushman, M. (2005). Knowledge about Sustainability: SSM as a Method for Conceptualising the UK Construction Industry�s Knowledge Environment. Journal of Computing and Information Technology, 13(2), 137. doi:10.2498/cit.2005.02.05Wagner, B. A., Fillis, I., & Johansson, U. (2003). E‐business and e‐supply strategy in small and medium sized businesses (SMEs). Supply Chain Management: An International Journal, 8(4), 343-354. doi:10.1108/13598540310490107Walter, J., Lechner, C., & Kellermanns, F. W. (2007). Knowledge transfer between and within alliance partners: Private versus collective benefits of social capital. Journal of Business Research, 60(7), 698-710. doi:10.1016/j.jbusres.2007.01.026Wu, C. (2008). Knowledge creation in a supply chain. Supply Chain Management: An International Journal, 13(3), 241-250. doi:10.1108/13598540810871280Zheng, W., Yang, B., & McLean, G. N. (2010). Linking organizational culture, structure, strategy, and organizational effectiveness: Mediating role of knowledge management. Journal of Business Research, 63(7), 763-771. doi:10.1016/j.jbusres.2009.06.00

Primer registro de Águila pomerana Aquila pomarina en España

Àguila pomerana Aquila pomarina como primer registro homologado en España por el Comité de Rarezas de la SEO. Ejemplar subadulto observado al norte de Ciutadella en la isla de Menorca (Baleares), entre los dias 10 y 24 de septiembre de 1997. La especie se distribuye por el centro, el este y sureste europeo con área de hivernada en el sur de Àfrica. Se aportan las descripciones del ejemplar (vuelo, plumaje, estado de la muda, conducta, ... ) para la determinación de la especie. Se analizan los caracteres obtenidos en el campo para descartar especies similares que dificultaron la identificación.First report of Lesser Spotted Eagle Aquila pomarina in Spain. Lesser Spotted Eagle is the first report homologated by the Spanish Rarities Committee of the SEO. A subadult was observed in the north of Ciutadella on the island of Menorca (Balearic Islands), between the 10th and 24th of September 1997. This species is distributed in central, eastern and south-east of Europe being its wintering quarters south of Africa. The description is given (flight, plumage, molt, behaviour...) in reference to identifying the species. The nature of the species was analysed thereby discarding similar species

From a personal to a more social view of students' academic performance: the importance of peer selection at university

[EN] Students' academic performance has traditionally been linked to aspects centred on their personal abilities, such as cognitive skills, hours spent studying or personal motivation. However, in recent years, some research in the literature have begun to highlight the role that students' social interactions play in their performance (Johnson and Johnson 1993; Baldwin et al. 1997). These interactions create informal trust-based networks that facilitate knowledge exchange between students and enhance their learning (Gaševi¿ et al. 2013). A number a of contributions have recently found a direct relationship between students' position in these knowledge networks and their academic performance (Cho et al. 2007; Smith and Peterson 2007; Hommes et al. 2012). On the other hand, this position has also been linked to opportunities to obtain new knowledge from external sources and to creative skills. (Tomás-Miquel et al., 2016). However, in this paper, far from this static vision, we delve deeper into the dynamic view of knowledge networks among students in order to understand the academic influence exerted in university environments by students on their peers. Specifically, this paper aims to answer the following research question: do the peers of higher-achieving students improve their performance over time? To answer this question, this paper applies a stochastic actor-oriented model (SAOM) to a sample of 50 students of the Business Administration and Management bachelor¿s degree at the Campus of Alcoy of the Universitat Politècnica de València in Spain. The results obtained confirm the positive influence of higher-achieving students on their lower-graded peers. Thus, lower-achieving students perform better over time as they increase their academic relationships with higher-achieving students. These results highlight the importance for universities of attracting higher-ability students, as well as mixing students into heterogeneous work groups in terms of academic performance. This would make it easier to improve the performance of less proficient students, thus preventing them from dropping out of the university. Therefore, these findings may have relevant implications for both university policy and classroom learning management.Tomas Miquel, JV.; Capó I Vicedo, J.; Capó-Vicedo, J. (2022). From a personal to a more social view of students' academic performance: the importance of peer selection at university. ICERI Proceedings. 1522-1526. https://doi.org/10.21125/iceri.2022.03971522152

The role of universities in making industrial districts more dynamic. A case study in Spain

Through this research we aim to contribute to the debate on the role of universities in industrial districts in the context of the new competitive panorama that they are facing. With this objective in mind, we have carried out a study based on a university located within a Spanish textile district, using Social Network Analysis techniques. Of particular relevance are the relationships between companies, of which there is a dense concentration, and the university, which has an important role as mediator within the network.Capó-Vicedo, J.; Molina Morales, FX.; Capó I Vicedo, J. (2013). The role of universities in making industrial districts more dynamic. A case study in Spain. Higher Education. 65(4):417-435. doi:10.1007/s10734-012-9553-0S417435654Abramo, G., D’angelo, C. A., & Di Costa, F. (2011). University-industry research collaboration: A model to assess university capability. Higher Education, 62, 163–181.Abramovsky, L., Kremp, E., López, A., Schmidt, T., & Simpson, H. (2009). Understanding cooperative innovative activity: Evidence from four European countries. Economics of Innovation and New Technology, 18(3), 243–265.Alberti, F. G. (2006). The decline of the industrial district of Como: Recession, relocation or reconversion? Entrepreneurship and Regional Development, 18, 473–501.Asheim, B. T. (1996). Industrial districts as learning regions: A condition for prosperity? European Planning Studies, 4(4), 379–400.Baum, J., & Oliver, C. (1992). Institutional embeddedness and dynamics of organizational populations. American Sociological Review, 57, 540–559.Bayona, C., García, T., & Huerta, E. (2002). Collaboration in R&D with universities and research centres: An empirical study of Spanish firms. R&D Management, 32, 321–341.Becattini, G. (1990). The marshallian industrial district as a socio-economic notion. F. en Pyke, G. Becattini, & W. Sengenberger (Eds.), Industrial districts and local economic regeneration. 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Eccles (Eds.), Networks and organizations: Structure, form and action. Boston: Harvard Business School Press.Capello, R. (2002). Spatial and sectoral characteristics of relational capital in innovation activity. European Planning Studies, 10(2), 177–200.Capello, R., & Faggian, A. (2005). Collective learning and relational capital in local innovation processes. Regional Studies, 39(1), 75–87.Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and impacts: The influence of public research on industrial R&D. Management Science, 48(1), 1–23.Coleman, J. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, 95–120.Coleman, J. S. (1990). Foundation of social theory. Cambridge: Harvard University Press.Crewe, L. (1996). Material culture: Embedded firms, organizational networks and local economic development of a fashion quarter. Regional Studies, 30, 257–272.Decarolis, D. M., & Deeds, D. L. (1999). 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La Mond (Eds.), Women, minorities, and employment discrimination. Lexington, MA: Heath.Malmberg, A. (2003). Beyond the cluster—local milieus and global economic connections. In J. Peck & H. W. C. Yeung (Eds.), Remaking the global economy (pp. 145–159). London: Sage.Malmberg, A., & Maskell, P. (2002). The elusive concept of localization economies: Towards a knowledge based theory of spatial clustering. Environment and Planning, 34(3), 429–449.Marshall, A. (1925). Principles of economics (1890) (8th ed.). London: Macmillan.Maskell, P., & Malmberg, A. (1999). Localised learning and industrial competitiveness. Cambridge Journal of Economics, 23, 167–185.McEvily, B., & Zaheer, A. (1999). Bridging ties: A source of firm heterogeneity in competitive capabilities. Strategic Management Journal, 20, 1133–1156.Miotti, L., & Sachwald, F. (2003). Co-operative R&D: Why and with whom? An integrated framework of analysis. Research Policy, 32, 1481–1499.Mohnen, P., & Hoareau, C. (2003). What type of enterprise forges close links with universities and government labs? Evidence from CIS 2. Managerial and Decision Economics, 24, 133–146.Molina-Morales, F. X., López-Navarro, M. A., & Guía-Julve, J. (2002). The role of local institutions as intermediary agents in the industrial district. European Urban and Regional Studies, 9(4), 315–329.Molina-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.Morrison, A. (2008). Gatekeepers of knowledge within industrial districts: Who they are, how they interact. Regional Studies, 42(6), 817–835.Morrison, A., & Rabelotti, R. (2009). Knowledge and information networks in an Italian wine cluster. European Planning Studies, 17(7), 983–1006.Mowery, D. C., & Sampat, B. N. (2005). Universities in national innovation systems. In J. Fagerberg, et al. (Eds.), The Oxford handbook of innovation (pp. 209–239). Oxford: Oxford University Press.Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242–266.Paniccia, I. (1998). One, a hundred, thousands industrial districts. Organizational variety of local networks of small and medium-sized enterprises. Organization Studies, 16(4), 667–699.Patton, D., & Kenney, M. (2009). The university research-centric district in the united states. In G. Becattini et al. (Eds.), A handbook of industrial districts. Cheltenham: Edward Elgar.Piore, M., & Sabel, C. (1984). The second industrial divide. Possibilities for prosperity. New York: Basic Books.Portes, A., & Sensenbrenner, J. (1993). Embeddedness and immigration: Notes on the social determinants of economic action. American Journal of Sociology, 98, 1320–1350.Putnam, R. D. (1995). Bowling alone: America's declining social capital. Journal of Democracy, 6, 65–78.Pyke, F., Becattini, G., & Sengenberger, W. (1990). Industrial districts and inter-firm co-operation in Italy. Geneva: International Institute for Labour Studies.Ramírez-Pasillas, M. (2010). International trade fairs as amplifiers of permanent and temporary proximities in clusters. Entrepreneurship and Regional development, 22(2), 155–187.Raub, W., & Weesie, J. (1990). Reputation and efficiency in social interactions: An example of network effects. American Journal of Sociology, 96, 626–665.Russo, M. (1997). Relazioni tra imprese e svolupo locale. Economia e Politica Industriale, 93, 105–137.Sá, C. M. (2011). Redefining university roles in regional economies: A case study of university–industry relations and academic organization in nanotechnology. Higher Education, 61, 193–208.Samarra, A., & Biggiero, L. (2008). Heterogeneity and specificity of inter-firm knowledge flows in innovation networks. 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Primeros datos de cría del alcotán, Falco subbuteo, en Menorca

Details of the first breeding of the Hobby Falco subbuteo in Menorca. The Hobby is considered a scarce migrant in Menorca, and no prior breeding records exist. The observation of a pair of Hobbies in 2003 led to confirmation of breeding in a zone of cultivations in the south of the isle, in an old raven's nest from which one young was fledged