Improvements in automotive company external logistics

Abstract (English) This paper purpose is to contribute in the continuous improvement development of automotive company external logistics, adapting current processes and supplying materials methods to new stage of the plant. Within this broad objective, the study is focused on the specific case of new model B299, and the attempt to achieve a target figure in order to reducing its components transport cost from European suppliers which are located more than 2.500 kilometers from the plant, in a rate of around 5%. The main objective of this paper is to study the possibilities of obtaining cost savings in logistics (procure parts). Thus, it will be necessary to establish an analysis methodology in oder to identifying opportunities for reduction transport costs through duplication of equipment and dies. Published data have been modified by privacy & confidential commercial reasons

The economic geography of the meso-global spaces: integrating multinationals and clusters at the local-global level

This is an author's accepted manuscript of an article published in: “European Planning Studies"; Volume 21, Issue 7, 2013; copyright Taylor & Francis; available online at: http://dx.doi.org/10.1080/09654313.2013.733853[EN] The local global phenomenon literature is fragmented between the fields of international business and economic geography (EG). In the case of the latter, the literature, produced within the global production networks (GPNs) and global value chain frameworks, does not address the central role of firms, especially multinationals which co-locate and connect territories along GPNs. This paper develops a cross-field conceptual integration in order to enrich the EG perspective, using qualitative research methodology to test the framework. The results have important implications for scholars and policymakers.We are very thankful to the “Ministry of Economics” funding ECO2010:17318 and “Generalitat Valenciana” for its support in visiting the London School of Economics and Political Science (BEST 2011 grants)Hervás Oliver, JL.; Boix Domenech, R. (2012). The economic geography of the meso-global spaces: integrating multinationals and clusters at the local-global level. European Planning Studies. 21(7):1064-1080. https://doi.org/10.1080/09654313.2013.733853S1064108021

Leakage, entrepreneurship, and satisfaction in hospitality

This is an Accepted Manuscript of an article published by Taylor & Francis in The Service Industries Journal on 2013, available online:http://www.tandfonline.com/10.1080/02642069.2013.740464Tourism is a very important tool for economic development. However, its economic effects are mainly conditioned by the level of leakage. This work defines leakage, provides an original evaluation of the entrepreneurial environment in showing that it is the one with the lowest level of leakage, and creates a new framework. It also measures leakage in an innovative way using a quantitative approach. In addition, the paper explores and shows how leakage can affect critical business factors, such as customer and employee satisfaction. The empirical study uses structural equations and data from hotels in the Valencian Region (Spain) to show how important leakage is in making businesses more competitive. The results confirm the new model and are of interest for company managers and public organizations.Galdón Salvador, JL.; Garrigós Simón, FJ.; Gil Pechuán, I. (2013). Leakage, entrepreneurship, and satisfaction in hospitality. Service Industries Journal. 33(7-8):759-773. doi:10.1080/02642069.2013.740464S759773337-8Ahmed, Z. U. (1991). The influence of the components of a state’s tourist image on product positioning strategy. Tourism Management, 12(4), 331-340. doi:10.1016/0261-5177(91)90045-uAnderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. doi:10.1037/0033-2909.103.3.411ANDRIOTIS, K. (2002). Options in Tourism Development: Conscious versus Conventional Tourism. Anatolia, 13(1), 73-85. doi:10.1080/13032917.2002.9687016Andriotis, K. (2002). Scale of hospitality firms and local economic development—evidence from Crete. Tourism Management, 23(4), 333-341. doi:10.1016/s0261-5177(01)00094-2Ashworth, C. J. (2011). Marketing and organisational development in e-SMEs: understanding survival and sustainability in growth-oriented and comfort-zone pure-play enterprises in the fashion retail industry. International Entrepreneurship and Management Journal, 8(2), 165-201. doi:10.1007/s11365-011-0171-6Bai, B., Law, R., & Wen, I. (2008). The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors. International Journal of Hospitality Management, 27(3), 391-402. doi:10.1016/j.ijhm.2007.10.008BarNir, A. (2012). Starting technologically innovative ventures: reasons, human capital, and gender. Management Decision, 50(3), 399-419. doi:10.1108/00251741211216205Barsky, J. D., & Labagh, R. (1992). A Strategy for Customer Satisfaction. Cornell Hotel and Restaurant Administration Quarterly, 33(5), 32-40. doi:10.1177/001088049203300524Battistella, C., Biotto, G., & De Toni, A. F. (2012). From design driven innovation to meaning strategy. Management Decision, 50(4), 718-743. doi:10.1108/00251741211220390Bettiol, M., Di Maria, E., & Finotto, V. (2011). Marketing in SMEs: the role of entrepreneurial sensemaking. International Entrepreneurship and Management Journal, 8(2), 223-248. doi:10.1007/s11365-011-0174-3Bitner, M. J., & Hubbert, A. R. (s. f.). Encounter Satisfaction versus Overall Satisfaction versus Quality: The Customer’s Voice. Service Quality: New Directions in Theory and Practice, 72-94. doi:10.4135/9781452229102.n3Bowen, J. T., & Shoemaker, S. (1998). Loyalty: A Strategic Commitment. Cornell Hotel and Restaurant Administration Quarterly, 39(1), 12-25. doi:10.1177/001088049803900104Buhalis, D., & Licata, M. C. (2002). The future eTourism intermediaries. Tourism Management, 23(3), 207-220. doi:10.1016/s0261-5177(01)00085-1Buhalis, D., & O’Connor, P. (2005). Information Communication Technology Revolutionizing Tourism. Tourism Recreation Research, 30(3), 7-16. doi:10.1080/02508281.2005.11081482Cáceres, R., Guzmán, J., & Rekowski, M. (2011). Firms as source of variety in innovation: influence of size and sector. International Entrepreneurship and Management Journal, 7(3), 357-372. doi:10.1007/s11365-011-0198-8Calantone, R. J., & Zhao, Y. S. (2001). Joint Ventures in China: A Comparative Study of Japanese, Korean, and U.S. Partners. Journal of International Marketing, 9(1), 1-23. doi:10.1509/jimk.9.1.1.19834Cavalcante, S., Kesting, P., & Ulhøi, J. (2011). Business model dynamics and innovation: (re)establishing the missing linkages. Management Decision, 49(8), 1327-1342. doi:10.1108/00251741111163142Gabriel Cegarra‐Navarro, J., Sánchez‐Vidal, M. E., & Cegarra‐Leiva, D. (2011). Balancing exploration and exploitation of knowledge through an unlearning context. Management Decision, 49(7), 1099-1119. doi:10.1108/00251741111151163Chang, Y., Hughes, M., & Hotho, S. (2011). Internal and external antecedents of SMEs’ innovation ambidexterity outcomes. Management Decision, 49(10), 1658-1676. doi:10.1108/00251741111183816Chaston, I., & Scott, G. J. (2012). Entrepreneurship and open innovation in an emerging economy. Management Decision, 50(7), 1161-1177. doi:10.1108/00251741211246941Chi, C. G., & Gursoy, D. (2009). Employee satisfaction, customer satisfaction, and financial performance: An empirical examination. International Journal of Hospitality Management, 28(2), 245-253. doi:10.1016/j.ijhm.2008.08.003Choi, T. Y., & Chu, R. (2001). Determinants of hotel guests’ satisfaction and repeat patronage in the Hong Kong hotel industry. International Journal of Hospitality Management, 20(3), 277-297. doi:10.1016/s0278-4319(01)00006-8Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218. doi:10.1016/s0022-4359(00)00028-2Eggers, F., Hansen, D. J., & Davis, A. E. (2011). Examining the relationship between customer and entrepreneurial orientation on nascent firms’ marketing strategy. International Entrepreneurship and Management Journal, 8(2), 203-222. doi:10.1007/s11365-011-0173-4Forgas-Coll, S., Palau-Saumell, R., Sánchez-García, J., & Callarisa-Fiol, L. J. (2012). Urban destination loyalty drivers and cross-national moderator effects: The case of Barcelona. Tourism Management, 33(6), 1309-1320. doi:10.1016/j.tourman.2011.12.013Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. doi:10.2307/3151312Garcia, R., & Kandemir, D. (2006). An illustration of modeling moderating variables in cross‐national studies. International Marketing Review, 23(4), 371-389. doi:10.1108/02651330610678967Garrigós‐Simón, F. J., Palacios Marqués, D., & Narangajavana, Y. (2005). Competitive strategies and performance in Spanish hospitality firms. International Journal of Contemporary Hospitality Management, 17(1), 22-38. doi:10.1108/09596110510577653Banu Goktan, A., & Miles, G. (2011). Innovation speed and radicalness: are they inversely related? Management Decision, 49(4), 533-547. doi:10.1108/00251741111126477Hotho, S., & Champion, K. (2011). Small businesses in the new creative industries: innovation as a people management challenge. Management Decision, 49(1), 29-54. doi:10.1108/00251741111094428Huarng, K., & Hui‐Kuang Yu, T. (2011). Entrepreneurship, process innovation and value creation by a non‐profit SME. Management Decision, 49(2), 284-296. doi:10.1108/00251741111109160Idris, A., & Seng Tey, L. (2011). Exploring the motives and determinants of innovation performance of Malaysian offshore international joint ventures. Management Decision, 49(10), 1623-1641. doi:10.1108/00251741111183799Jafari, M., Rezaeenour, J., Mahdavi Mazdeh, M., & Hooshmandi, A. (2011). Development and evaluation of a knowledge risk management model for project‐based organizations. Management Decision, 49(3), 309-329. doi:10.1108/00251741111120725Kim, B. P., Murrmann, S. K., & Lee, G. (2009). Moderating effects of gender and organizational level between role stress and job satisfaction among hotel employees. International Journal of Hospitality Management, 28(4), 612-619. doi:10.1016/j.ijhm.2009.04.001Lam, T., Zhang, H., & Baum, T. (2001). An investigation of employees’ job satisfaction: the case of hotels in Hong Kong. Tourism Management, 22(2), 157-165. doi:10.1016/s0261-5177(00)00039-xLaw, R., Leung, R., & Buhalis, D. (2009). INFORMATION TECHNOLOGY APPLICATIONS IN HOSPITALITY AND TOURISM: A REVIEW OF PUBLICATIONS FROM 2005 TO 2007. Journal of Travel & Tourism Marketing, 26(5-6), 599-623. doi:10.1080/10548400903163160Lee, S. M., Hwang, T., & Choi, D. (2012). Open innovation in the public sector of leading countries. Management Decision, 50(1), 147-162. doi:10.1108/00251741211194921Lee, S. M., Lim, S., & Pathak, R. D. (2009). Culture and entrepreneurial orientation: a multi-country study. International Entrepreneurship and Management Journal, 7(1), 1-15. doi:10.1007/s11365-009-0117-4Lee, S. M., Olson, D. L., & Trimi, S. (2012). Co‐innovation: convergenomics, collaboration, and co‐creation for organizational values. Management Decision, 50(5), 817-831. doi:10.1108/00251741211227528Legoherel, P. (1998). Toward a Market Segmentation of the Tourism Trade: Journal of Travel & Tourism Marketing, 7(3), 19-39. doi:10.1300/j073v07n03_02Lejárraga, I., & Walkenhorst, P. (2010). On linkages and leakages: measuring the secondary effects of tourism. Applied Economics Letters, 17(5), 417-421. doi:10.1080/13504850701765127Li, H., & Atuahene-Gima, K. (2001). PRODUCT INNOVATION STRATEGY AND THE PERFORMANCE OF NEW TECHNOLOGY VENTURES IN CHINA. Academy of Management Journal, 44(6), 1123-1134. doi:10.2307/3069392Lindič, J., & Marques da Silva, C. (2011). Value proposition as a catalyst for a customer focused innovation. Management Decision, 49(10), 1694-1708. doi:10.1108/00251741111183834Locke, E. A. (1969). What is job satisfaction? Organizational Behavior and Human Performance, 4(4), 309-336. doi:10.1016/0030-5073(69)90013-0Locke, E. A. (1970). Job satisfaction and job performance: A theoretical analysis. Organizational Behavior and Human Performance, 5(5), 484-500. doi:10.1016/0030-5073(70)90036-xWagner Mainardes, E., Alves, H., & Raposo, M. (2011). Stakeholder theory: issues to resolve. Management Decision, 49(2), 226-252. doi:10.1108/00251741111109133Matzler, K., & Renzl, B. (2007). Assessing asymmetric effects in the formation of employee satisfaction. Tourism Management, 28(4), 1093-1103. doi:10.1016/j.tourman.2006.07.009Morrison, A., & Thomas, R. (1999). The future of small firms in the hospitality industry. International Journal of Contemporary Hospitality Management, 11(4), 148-154. doi:10.1108/09596119910263531Mowforth, M. (2003). Tourism and Sustainability. doi:10.4324/9780203422779Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41. doi:10.2307/1251430Reed, R., Storrud‐Barnes, S., & Jessup, L. (2012). How open innovation affects the drivers of competitive advantage. Management Decision, 50(1), 58-73. doi:10.1108/00251741211194877Van Riel, A. C. R., Semeijn, J., Hammedi, W., & Henseler, J. (2011). Technology‐based service proposal screening and decision‐making effectiveness. Management Decision, 49(5), 762-783. doi:10.1108/00251741111130841Sandbrook, C. G. (2008). Putting leakage in its place: The significance of retained tourism revenue in the local context in Rural Uganda. Journal of International Development, 22(1), 124-136. doi:10.1002/jid.1507Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66(4), 507-514. doi:10.1007/bf02296192Siegel, D. S., & Renko, M. (2012). The role of market and technological knowledge in recognizing entrepreneurial opportunities. Management Decision, 50(5), 797-816. doi:10.1108/00251741211227500Silva, P. (2006). Effects of disposition on hospitality employee job satisfaction and commitment. International Journal of Contemporary Hospitality Management, 18(4), 317-328. doi:10.1108/09596110610665320Sitlington, H., & Marshall, V. (2011). Do downsizing decisions affect organisational knowledge and performance? Management Decision, 49(1), 116-129. doi:10.1108/00251741111094473Spreng, R. A., & Mackoy, R. D. (1996). An empirical examination of a model of perceived service quality and satisfaction. Journal of Retailing, 72(2), 201-214. doi:10.1016/s0022-4359(96)90014-7Stevens, B. F. (1992). Price Value Perceptions of Travelers. Journal of Travel Research, 31(2), 44-48. doi:10.1177/004728759203100208Tang, K., Robinson, D. A., & Harvey, M. (2011). Sustainability managers or rogue mid‐managers? Management Decision, 49(8), 1371-1394. doi:10.1108/00251741111163179Trong Tuan, L. (2012). Behind knowledge transfer. Management Decision, 50(3), 459-478. doi:10.1108/00251741211216232McGivern, M. H., & Tvorik, S. J. (1997). Determinants of organizational performance. Management Decision, 35(6), 417-435. doi:10.1108/00251749710173797Vaiman, V., Scullion, H., & Collings, D. (2012). Talent management decision making. Management Decision, 50(5), 925-941. doi:10.1108/00251741211227663Vasconcellos e Sá, J. A., Olão, F., & Pereira, M. (2011). From Levitt to the global age: one more time, how do we define our business? Management Decision, 49(1), 99-115. doi:10.1108/00251741111094464Walk, S. R. (2011). A new fast, reliable filtering method for multiple criteria decision making. Management Decision, 49(5), 810-822. doi:10.1108/00251741111130878Wang, Y., & Feng, H. (2012). Customer relationship management capabilities. Management Decision, 50(1), 115-129. doi:10.1108/00251741211194903Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171-180. doi:10.1002/smj.4250050207G. Woodside, A., Ramos Mir, V., & Duque, M. (2011). Tourism ’ s destination dominance and marketing website usefulness. International Journal of Contemporary Hospitality Management, 23(4), 552-564. doi:10.1108/09596111111130038Woodside, A. G., & Sakai, M. Y. (2001). Meta-Evaluations of Performance Audits of Government Tourism-Marketing Programs. Journal of Travel Research, 39(4), 369-379. doi:10.1177/004728750103900403Wu, C. H.-J., & Liang, R.-D. (2009). Effect of experiential value on customer satisfaction with service encounters in luxury-hotel restaurants. International Journal of Hospitality Management, 28(4), 586-593. doi:10.1016/j.ijhm.2009.03.008Yang, C., & Liu, H. (2012). Boosting firm performance via enterprise agility and network structure. Management Decision, 50(6), 1022-1044. doi:10.1108/00251741211238319Yang, T., & Li, C. (2011). Competence exploration and exploitation in new product development. Management Decision, 49(9), 1444-1470. doi:10.1108/00251741111173934Zortea-Johnston, E., Darroch, J., & Matear, S. (2011). Business orientations and innovation in small and medium sized enterprises. International Entrepreneurship and Management Journal, 8(2), 145-164. doi:10.1007/s11365-011-0170-

Development of a database for the rapid and accurate routine identification of Achromobacter species by matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS).

Achromobacter spp. are emerging pathogens in respiratory samples from cystic fibrosis patients. The current reference methods (nrdA-sequencing or multilocus sequence typing) can identify 18 species which are often misidentified by conventional techniques as A. xylosoxidans. A few studies have suggested that matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF/MS) provides accurate identification of the genus but not of species. The aims of this study were (a) to generate a database for MALDI-TOF/MS Bruker including the 18 species, (b) to evaluate the suitability of the database for routine laboratory identification, and (c) to compare its performance with that of the currently available Bruker default database. A total of 205 isolates belonging to the 18 species identified by nrdA sequencing were used to build a local database. Main spectra profiles (MSPs) were created according to Bruker's recommendations for each isolate with the Biotyper software. Performance of the default Bruker database and ours for routine use were compared by testing 167 strains (including 38 isolates used from MSP creation) belonging to the 18 species identified by nrdA sequencing directly from colonies cultivated on various media. Our new database accurately identified 99.4% (166/167) of the isolates from the 18 species (score ≥2.0) versus only 50.9% (85/167) with the Bruker database. In the Bruker database 17.3% of the isolates (29/167) were incorrectly identified as another species despite a score of ≥2.0. The use of MALDI-TOF/MS in combination with a database developed with samples from 18 Achromobacter species provides rapid and accurate identification. This tool could be used to help future clinical studies

Protective and Inhibitory Effects of Various Types of Amphipols on the Ca(2+)-ATPase from Sarcoplasmic Reticulum : A Comparative Study.

International audienc

Evolución de la DMO durante el tratamiento con inhibidores de aromatasa y su relación con el gen CYP11A1: estudio prospectivo de la cohorte B-ABLE

Objetivos: El objetivo del estudio fue analizar los cambios en la densidad mineral ósea (DMO) a lo largo del tratamiento con inhibidores de aromatasa (IA) en la práctica clínica y evaluar la asociación entre el gen CYP11A1 y la variación de DMO al final del tratamiento. Material y métodos: La cohorte B-ABLE es un estudio prospectivo de mujeres postmenopáusicas con cáncer de mama, en tratamiento con IA. Se analizó la variación de DMO durante todo el tratamiento con IA, así como las diferencias entre las pacientes tratadas y no-tratadas previamente con tamoxifeno (TMX). Tres polimorfismos (rs4077581, rs11632698 y rs900798) del gen CYP11A1, fueron genotipados para su asociación con la variación de DMO. Resultados: Las pacientes tratadas con TMX mostraron pérdidas más aceleradas de DMO que las no tratadas previamente con TMX (60% menos en columna y 46% en fémur a los 2 años y 70% menos en columna y 63% en fémur a los 3 años). No obstante, al final del tratamiento no se detectaron diferencias significativas en la pérdida de DMO entre ambos grupos de pacientes. Los 3 polimorfismos del gen CYP11A1 resultaron significativamente asociados a la variación de DMO en fémur al final del tratamiento. Conclusiones: La DMO disminuyó de forma más acelerada en las pacientes con tratamiento previo con TMX que en las que solo recibieron AI, a pesar de que no se detectaron diferencias significativas al final de tratamiento. Polimorfismos en el gen CYP11A1 están relacionados con la variación de la DMO en respuesta al tratamiento con IA