18 research outputs found

    Desarrollo del comportamiento proambiental en los individuos y sus determinantes

    Get PDF
    Este artículo analiza el comportamiento proambiental en individuos ofreciendo una clasificación del comportamiento según la diversidad/ intensidad de las acciones ambientales emprendidas, y explicando el desarrollo del comportamiento pro-ambiental y algunos de los factores que lo determinan. Mediante análisis cluster y modelos de ecuaciones estructurales, aplicado al Estudio 2837 del CIS, se obtiene una clasificación en cinco grupos de individuos que pone de manifiesto cómo se desarrolla el comportamiento pro-ambiental, desde niveles con poca intensidad en acciones medioambientales muy concretas (como el reciclado) hasta niveles de mayor implicación proambiental en un buen número de acciones proambientales. The aim of this study is to learn more about pro-environmental conduct in individuals, providing classification in levels of conduct according to diversity/intensity of environmental actions, showing how proenvironmental conduct develops in people and identifying the factors that determine such conduct. The application of cluster analysis and structural equation models to CIS Study 2837 classifies individuals with different degrees of environmental involvement into five groups, showing how pro-environmental conduct develops in people, from specific activities (such as recycling) performed with reduced intensity to greater and more intense pro-environmental involvement

    How is environmental proactivity accomplished? Drivers and barriers in firms' pro-environmental change process

    Get PDF
    The contaminating effects of economic activity and the scarcity of natural resources has led firms to a situation in which corporate strategy has been compromised by environmental issues. The objective of this paper is to analyse some of the factors determining the pro-environmental change process by considering the drivers encouraging firms to progress in environmental protection and the barriers that curb this progress. Using a structural equation model implemented on a sample of 303 firms, our results confirm a direct and positive effect of stakeholder pressure and of the expectations of obtaining competitive advantages from the pro-environmental change process. The results also confirmed the indirect effect of stakeholder pressure on pro-environmental change through managers'' expectations of obtaining competitive advantages, which play a mediating role in the firm''s response. Although managers interpret the barriers we have studied as obstacles to adopting environmental protection measures, they do not prevent any firm from reaching advanced levels of pro-environmental change

    Stakeholder engagement mechanisms and their contribution to eco-innovation: Differentiated effects of communication and cooperation

    Get PDF
    This study analyses the effect of communication and cooperation—as engagement mechanisms of stakeholder''s integration capacity—on eco-innovation intensity in firms. With this purpose, a mediation model is conducted, controlling by activity sector and firm''s size. Results show that communication, as the first stakeholder engagement mechanism, has a positive effect on eco-innovation strategy and that communication is a step that comes before cooperation. Results show that cooperation with stakeholders also supports eco-innovation strategy development. It is therefore concluded that, when firms reach the greatest degree of stakeholder integration, through cooperation mechanisms, eco-innovation strategy is greater than when there is only communication. This study provides three types of contribution to the literature: First, the effects of two types of stakeholder engagement mechanisms, communication, and cooperation, on firm''s eco-innovation strategy are separately analysed, as the interconnection between them. Second, the study proposes a novel way of measuring eco-innovation that enables us to consider different degrees of eco-innovative intensity based on a capital model that includes the accumulation of tangible and intangible assets derived from activities recently adopted by firms to reduce environmental impact. Third, this study provides empirical evidence to previous literature, generally case study-based, of the effect that the stakeholder integration process has on eco-innovation, through communication and cooperation mechanisms

    Information technology outsourcing in financial services

    Get PDF
    Regulatory pressures and strong competitiveness, as well as the need to control costs and remain up to date with information technologies have turned outsourcing into a basic tool at the disposal of financial entities. Our paper has as its aim to show the peculiarities of information technology outsourcing in the financial services industry, additionally suggesting a decision framework which can help firms minimise risks

    What Prevents Firms from Advancing in their Environmental Strategy?

    No full text
    The aim of this paper is to analyze the determinants of the strategic environmental behavior of firms and, more specifically, the external and internal barriers that limit and sometimes even prevent the environmental adaptation. The analysis focuses on a sample of industrial firms that have at least three workers and that are located in Aragón, a region situated in the northeast of Spain. In order to achieve this objective, first the theoretical literature on the topic is reviewed. Subsequently, from the firms which were sampled, the existence of an underlying structure among the totality of barriers is studied. Finally, this structure is analyzed in order to determine if it has any influence on the degree of proactivity of the firm’s environmental strategy. Copyright International Atlantic Economic Society 2007environmental strategies, barriers, industrial firms, D21, C5, R00, M00,

    Multidimensional social capital in new ventures

    Full text link
    [EN] This paper analyzes and provides empirical evidence on how three different dimensions of social capital (structural, relational, and resources) have a direct causal relation on the performance of financial service start-ups. To this end, a structural equation model is estimated and validated from a database, including information from 142 Argentinean entrepreneurs who answered a questionnaire specifically designed for this research. The main finding of the paper is that the main source of value of social capital for an entrepreneur is the existence of high-quality links. Moreover, the quality of the entrepreneur's links is even more important than their quantity. This conclusion has relevant managerial and policy implications, since it suggests that entrepreneurs must focus their efforts not so much on increasing their number of contacts, but on establishing, developing, and enhancing a small number of high-quality links.The authors thank both the Spanish Ministry of Science and Technology, and the European Feder Funds for financial support under projects SEJ2007-66581 and ECO-2010-20584Vila, JE.; Fornoni, M.; Palacios Marqués, D. (2013). Multidimensional social capital in new ventures. Service Industries Journal. 33(9-10):820-832. https://doi.org/10.1080/02642069.2013.719892S820832339-10Ahuja, G. (2000). Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study. Administrative Science Quarterly, 45(3), 425. doi:10.2307/2667105Alajoutsijärvi, K., Mainela, T., Ulkuniemi, P., & Montell, E. (2012). Dynamic effects of business cycles on business relationships. Management Decision, 50(2), 291-304. doi:10.1108/00251741211203579Alpkan, L., Bulut, C., Gunday, G., Ulusoy, G., & Kilic, K. (2010). Organizational support for intrapreneurship and its interaction with human capital to enhance innovative performance. Management Decision, 48(5), 732-755. doi:10.1108/00251741011043902Arribas, I., Hernández, P., Urbano, A., & Vila, J. E. (2012). Are social and entrepreneurial attitudes compatible? Management Decision, 50(10), 1739-1757. doi:10.1108/00251741211279576Baba, V. V., & HakemZadeh, F. (2012). Toward a theory of evidence based decision making. Management Decision, 50(5), 832-867. doi:10.1108/00251741211227546Batjargal, B. (2003). Social Capital and Entrepreneurial Performance in Russia: A Longitudinal Study. Organization Studies, 24(4), 535-556. doi:10.1177/0170840603024004002Battistella, C., Biotto, G., & De Toni, A. F. (2012). From design driven innovation to meaning strategy. Management Decision, 50(4), 718-743. doi:10.1108/00251741211220390Bhasin, S. (2012). An appropriate change strategy for lean success. Management Decision, 50(3), 439-458. doi:10.1108/00251741211216223Bradley, S., Kim, C., Kim, J., & Lee, I. (2012). Toward an evolution strategy for the digital goods business. Management Decision, 50(2), 234-252. doi:10.1108/00251741211203542Coleman, J. S. (1988). Social Capital in the Creation of Human Capital. American Journal of Sociology, 94, S95-S120. doi:10.1086/228943Datta, P. (2012). An applied organizational rewards distribution system. Management Decision, 50(3), 479-501. doi:10.1108/00251741211216241Fornoni, M., Arribas, I., & Vila, J. E. (2011). Measurement of an individual entrepreneur’s social capital: a multidimensional model. International Entrepreneurship and Management Journal, 7(4), 495-507. doi:10.1007/s11365-011-0204-1Garcés‐Ayerbe, C., Rivera‐Torres, P., & Murillo‐Luna, J. L. (2012). Stakeholder pressure and environmental proactivity. Management Decision, 50(2), 189-206. doi:10.1108/00251741211203524Gulati, R. (1995). Social Structure and Alliance Formation Patterns: A Longitudinal Analysis. Administrative Science Quarterly, 40(4), 619. doi:10.2307/2393756Gulati, R., Nohria, N., & Zaheer, A. (2000). Strategic networks. Strategic Management Journal, 21(3), 203-215. doi:10.1002/(sici)1097-0266(200003)21:33.0.co;2-kHacklin, F., & Wallnöfer, M. (2012). The business model in the practice of strategic decision making: insights from a case study. Management Decision, 50(2), 166-188. doi:10.1108/00251741211203515Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. doi:10.1080/10705519909540118Jain, M., Khalil, S., Nhat‐Hanh Le, A., & Ming‐Sung Cheng, J. (2012). The glocalisation of channels of distribution: a case study. Management Decision, 50(3), 521-538. doi:10.1108/00251741211216269Koka, B. R., & Prescott, J. E. (2002). Strategic alliances as social capital: a multidimensional view. Strategic Management Journal, 23(9), 795-816. doi:10.1002/smj.252Theories of Capital. (2001). Social Capital, 3-18. doi:10.1017/cbo9780511815447.002Lin, N., Ensel, W. M., & Vaughn, J. C. (1981). Social Resources and Strength of Ties: Structural Factors in Occupational Status Attainment. American Sociological Review, 46(4), 393. doi:10.2307/2095260Nahapiet, J., & Ghoshal, S. (1998). Social Capital, Intellectual Capital, and the Organizational Advantage. Academy of Management Review, 23(2), 242-266. doi:10.5465/amr.1998.533225Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996). Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology. Administrative Science Quarterly, 41(1), 116. doi:10.2307/2393988Sashi, C. M. (2012). Customer engagement, buyer‐seller relationships, and social media. Management Decision, 50(2), 253-272. doi:10.1108/00251741211203551Shan, W., Walker, G., & Kogut, B. (1994). Interfirm cooperation and startup innovation in the biotechnology industry. Strategic Management Journal, 15(5), 387-394. doi:10.1002/smj.4250150505Smallbone, D., Welter, F., Voytovich, A., & Egorov, I. (2009). Government and entrepreneurship in transition economies: the case of small firms in business services in Ukraine. The Service Industries Journal, 30(5), 655-670. doi:10.1080/02642060802253876Tihula, S., & Huovinen, J. (2009). Incidence of teams in the firms owned by serial, portfolio and first-time entrepreneurs. International Entrepreneurship and Management Journal, 6(3), 249-260. doi:10.1007/s11365-008-0101-4Tsai, W., & Ghoshal, S. (1998). SOCIAL CAPITAL AND VALUE CREATION: THE ROLE OF INTRAFIRM NETWORKS. Academy of Management Journal, 41(4), 464-476. doi:10.2307/257085Trong Tuan, L. (2012). Behind knowledge transfer. Management Decision, 50(3), 459-478. doi:10.1108/00251741211216232Vaiman, V., Scullion, H., & Collings, D. (2012). Talent management decision making. Management Decision, 50(5), 925-941. doi:10.1108/00251741211227663Wagener, S., Gorgievski, M., & Rijsdijk, S. (2010). Businessman or host? Individual differences between entrepreneurs and small business owners in the hospitality industry. The Service Industries Journal, 30(9), 1513-1527. doi:10.1080/02642060802624324Woodside, A. G., Ko, E., & Huan, T. (T. C. . (2012). The new logic in building isomorphic theory of management decision realities. Management Decision, 50(5), 765-777. doi:10.1108/00251741211227429Workman, M. (2012). Bias in strategic initiative continuance decisions: framing interactions and HRD practices. Management Decision, 50(1), 21-42. doi:10.1108/00251741211194859Yu, B. T. W., To, W. M., & Lee, P. K. C. (2012). Quality management framework for public management decision making. Management Decision, 50(3), 420-438. doi:10.1108/0025174121121621

    Are More Innovative Firms Less Vulnerable to New Environmental Regulation?

    No full text
    Compliance with pollution limits and standards requires firms to implement adaptation processes that are not only costly themselves but also affect future profits in as much as they modify production systems and methods. This paper attempts to respond to the question of how technological knowledge moderates the effect that the implementation of a new environmental regulation has on the results of affected firms. The regulation selected for this study is the Integrated Pollution Prevention and Control Act (IPPC). A Multivariate Regression Model (MVRM) has been applied to the regulatory event. The most important implication of this paper is that technological knowledge prepares a firm for adapting to a greater environmental demand such as may be derived from a new regulation. Copyright Springer Science+Business Media, Inc. 2007environmental regulation, market value, technological knowledge,
    corecore