Contribución de las iniciativas de tecnologías de la información en las organizaciones: una revisión de la literatura
Contribution of Information Technologies Initiatives in Organizations: A Literature Review
CONTRIBUIÇÃO DAS INICIATIVAS DE TECNOLOGIAS DA INFORMAÇÃO NAS ORGANIZAÇÕES: UMA REVISÃO DA LITERATURA
Palabras clave:
tecnologías de la información, beneficios de las tecnologías de la información, valor de las tecnologías de la información (es)Benefits of Information Technologies, Information Technologies, value of Information Technologies (en)
benefícios das tecnologias da informação, tecnologias da informação, valor das tecnologias da informação (pt)
La implementación de tecnologías de información (ti) a nivel empresarial plantea la preocupación de cuál es el efecto de dicha inversión. Generalmente, esta preocupación se asocia con los costos ocasionados y no con los beneficios recibidos. A partir de una revisión sistemática de la literatura, se analizan diferentes modelos de beneficios de ti en las organizaciones, para así proponer una estructura multidimensional para la identificación y clasificación de los beneficios generados por el uso de estas tecnologías en las organizaciones. Esta estructura propuesta se compone de 15 beneficios, agrupados en cuatro dimensiones organizacionales: 1) informacional, 2) transaccional, 3) transformacional y 4) estratégica. Este marco referencial permite visualizar y evaluar los aportes de las iniciativas de ti en la generación de valor para las organizaciones.
Implementation of Information Technologies (it) at corporate level raises concerns about the effect of such investment. Generally, concerns are linked to the associated costs of it initiatives and not to the benefits of their adoption. From a systematic review of the literature, different models of benefits from it in organizations are analyzed in order to propose a multidimensional structure for the identification and classification of the benefits generated by the use of these technologies. This proposed structure consists of 15 benefits grouped into four organizational dimensions: 1) informational, 2) transactional, 3) transformational and 4) strategic. This referential framework allows envisioning and assessing the contributions of it initiatives in the generation of value for organizations.
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Achimugu, P., Selamat, A., Ibrahim, R., & Naz, M. (2014). A systematic literature review of software requirements prioritization research. Information and Software Technology, 56(6), 568-585. doi: 10.1016/j.infsof.2014.02.001.
Ahmadian, L., Salehi Nejad, S., & Khajouei, R. (2015). Evaluation methods used on health information systems (ms's) in Iran and the effects of ms's on Iranian healthcare: A systematic review. International Journal of Medical Informatics, 84(6), 444-453. doi: 10.1016/j.ijmedinf.2015.02.002.
Albadvi, A., Keramati, A., & Razmi, J. (2007). Assessing the impact of information technology on firm performance considering the role of intervening variables: organizational infrastructures and business processes reengineering. International Journal of Production Research, 45(12), 2697-2734. doi: 10.1080/00207540600767780.
Alpar, P., & Kim, M. (1990). A comparison of approaches to the measurement of IT value. Twenty-Third Annual Hawaii International Conference on System Sciences, 4, 112-119. doi: 10.1109/HICSS.1990.205246.
Ashrafi, N. (2003). The impact of software process improvement on quality: in theory and practice. Information & Management, 40(7), 677-690. doi: 10.1016/S0378-7206(02)00096-4.
Azadeh, A., Keramati, A., & Jafary Songhori, M. (2009). An integrated Delphi/VAHP/DEA framework for evaluation of information technology/information system (IT/IS) investments. International Journal of Advanced Manufacturing Technology, 45(11-12), 1233-1251. doi: 10.1007/s00170-009-2047-2.
Azadeh, A., & Songhori, M. J. (2006). A comprehensive framework based on balanced score card(BSC) for measuring the impact of information technology and information system (IT/IS) on organization and applying it with rule-based expert system ali. 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006, 5524-5539.
Bajwa, D. S., Pervan, G., & Lewis, L. F. (2010). An exploratory investigation of the organizational impacts of collaborative information technology utilization in australian organizations. In Proceedings of the Annual Hawaii International Conference on System Sciences, 1-9. doi: 10.1109/HICSS.2010.55.
Basahel, A., & Irani, Z. (2010). Examining the strategic benefits of information systems: A global case study. In 7th European, Mediterranean & Middle Eastern Conference on Information Systems (EMCIS), pp. 1-17.
Bakos, J. Y., & Kemerer, C. F. (1992). Recent applications of economic theory in information Technology research. Decision Support Systems, 8(5), 365-386. doi: 10.1016/0167-9236(92)90024-J.
Bharadwaj, A. S., Bharadwaj, S. G., & Konsynski, B. R. (1999). Information Technology Effects on Firm Performance as Measured by Tobin's q. Management Science, 45(7), 1008-1024. doi: 10.1287/mnsc.45.7.1008.
Brynjolfson, E. (1993). The productivity paradox of information technology. Communication of the acm, 35(12), 66-77. doi: 10.1145/163298.163309.
Brynjolfsson, E., & Hitt, L. (1998). Beyond the productivity paradox. Communications of the ACM, 41(12), 49-55. doi: 10.1145/280324.280332.
Carslon, E. O. (1974). Evaluating the Impact of Information Systems. Management Informatics, 3, 57-67.
Curry, E., & Donnellan, B. (2012). Understanding the maturity of sustainable ICT. J. vom Brocke, S. Seidel & J. Recker (ed.), Green Business Process Management: Towards the Sustainable Enterprise (pp. 203-216). Berlín: Springer. doi. 10.1007/978-3-642-27488-6_12.
DeLone, W., & McLean, E. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. doi: 10.1287/isre.3.1.60.
DeLone, W., & McLean, E. (2003). Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 8-30. doi: 10.1080/07421222.2003.11045748.
Dutra, C. C., Ribeiro, J. L. D., & De Carvalho, M. M. (2014). An economic-probabilistic model for project selection and prioritization. International Journal of Project Management, 32(6), 1042-1055. doi: 10.1016/j.ijproman.2013.12.004.
Gable, G., Sedera, D., & Taizan, C. (2008). Re-conceptualizing information system success: The is-Impact Measurement Model. Journal of the Association for Information Systems, 9(7), 1-32.
Gago, D., & Rubalcaba, L. (2007). Innovation and ICT in service firms: Towards a multidimensional approach for impact assessment. Journal of Evolutionary Economics, 17(1), 25-44. doi: 10.1007/s00191-006-0030-8.
Gregor, S., Martin, M., Fernandez, W., Stern, S., & Vitale, M. (2006). The transformational dimension in the realization of business value from information technology. Journal of Strategic Information Systems, 15(3), 249-270. doi: 10.1016/j.jsis.2006.04.001.
Hamilton, S., & Chervany, N. L. (1981a). Evaluating Information System Effectiveness - Part I: Comparing Evaluation Approaches. mis Quarterly, 5(3), 55-69. doi: 10.2307/249291.
Hamilton, S., & Chervany, N. L. (1981b). Evaluating Information Systems Effectiveness - Part II: Comparing Evaluator Viewpoints. mis Quarterly, 5(4), 79-86. doi: 10.2307/249329.
Hempell, T. (2005). What's spurious, what's real? Measuring the productivity impacts of ICT at the firm-level. Empirical Economics, 30(2), 427-464. Doi: 10.1007/s00181-005-0248-6.
Ide, M., Aoyama, M., Kishida, T., & Kikushima, Y. (2014). An IT-driven business model design methodology and its evaluation. 2014 IEEE 1st International Workshop on the Interrelations between Requirements Engineering and Business Process Management (REBPm), 1-10. doi: 10.1109/REBPM.2014.6890729.
Irani, Z., & Love, P. E. D. (2000). The propagation of technology management taxonomies for evaluating investments in information systems. Journal of Management Information Systems, 17(3), 161-173. doi: 10.1080/07421222.2000.11045650.
Kanungo, S., Duda, S., & Srinivas, Y. (1999). A structured model for evaluating information systems effectiveness. Systems Research & Behavioral Science, 16(6), 495-518.
Kauffman, R. J., Liu, J., & Ma, D. (2015). Technology investment decision-making under uncertainty. Information Technology and Management, 16(2), 153-172. doi: 10.1007/s10799-014-0212-2.
Kauffman, R., & Weill, P. (1989). An evaluative framework for research on the performance effects of information technology investment (Information Systems Working Papers Series). Proceedings of the Tenth International Conference on Information Systems , en Boston, Massachusetts. doi: 10.1145/75034.75066.
Ker, J. I., Wang, Y., Hajli, M. N., Song, J., & Ker, C. W. (2014). Deploying lean in healthcare: Evaluating information technology effectiveness in us hospital pharmacies. International Journal of Information Management, 34(4), 556-560. doi: 10.1016/j.ijinfomgt.2014.03.003.
Kim, H. W., & Kankanhalli, A. (2009). Investigating user resistance to implementation: a status quo bias perspective. mis Quarterly, 33(3), 2009.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing Systematic Literature reviews in Software Engineering Version 2.3. Engineering, 45(4), 1051. doi: 10.1145/1134285.1134500.
Lee, B., & Barua, A. (1999). An Integrated Assessment of Productivity and Efficiency Impacts of Information Technology Investments: Old Data, New Analysis and Evidence. Journal of Productivity Analysis, 12(1), 21-43.
Lee, C. (2001). Modeling the business value of information technology. Information & Management, 39(3), 191-210. doi: 10.1016/S0378-7206(01)00090-8.
Lee, Y. J., Lee, J. H., & Park, D. W. (2009). A framework for analysis on the process of Information System evaluation and investment decision. In Proceedings of the International Conference on Electronic Business (ICEB), 295-304.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40, 191-204.
Leidner, D. E., Lo, J., & Preston, D. (2011). An empirical investigation of the relationship of is strategy with firm performance. Journal of Strategic Information Systems, 20(4), 419-437. doi: 10.1016/j.jsis.2011.09.001.
Li, M., & Ye, L. R. (1999). Information technology and firm performance: Linking with environmental, strategic and managerial contexts. Information & Management, 35(1), 43-51. doi: 10.1016/S0378-7206(98)00075-5.
Liu, D. L., & Yang, S. S. (2009). An Information System Security Risk Assessment Model Based on Fuzzy Analytic Hierarchy Process. 2009 International Conference on E-Business and Information System Security, 23, 1-4. doi: 10.1109/EBISS.2009.5137926.
Lucas, J. H. C. (1975). Performance and the Use of an Information System. Management Science, 21(8), 908-919. doi: 10.1287/mnsc.21.8.944.
Mahmood, M. A., & Mann, G. J. (1993). Measuring the organizational impact of information technology investment: An exploratory study. Journal of Management Information Systems, 10(1), 97-122. doi: 10.1080/07421222.1993.11517992.
Maiga, A. S., Nilsson, A., & Jacobs, F. A. (2014). Assessing the interaction effect of cost control systems and information technology integration on manufacturing plant financial performance. The British Accounting Review, 46(1), 77-90. doi: 10.1016/j.bar.2013.10.001.
Mao, C. Y., Mei, Q., & Ma, Z. Q. (2009). A new method for information system selection. In 2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009, 65-68.
Melville, N., Kraemer, K., Gurbaxani, V., & Ew, M. (2004). Information Technology and Organizational Performance: An Integrative Model of IT Business Value. mis Quarterly, 28(2), 283-322. doi: 10.2307/25148636.
Mirani, R., & Lederer, A. (1998). An instrument for assessing the organizational benefits of IS projects. Decision Sciences, 29(4), 803-838. doi: 10.1111/j.1540-5915.1998.tb00878.x.
Mooney, J. G., & Kraemer, K. L. (1996). A Process Oriented Framework for Assessing the Business Value of Information Technology. Proceedings of the Sixteenth Annual International Conference on Information Systems, 27(2), 17-27.
Palvia, P. C. (1997). Developing a model of the global and strategic impact of information technology. Information & Management, 32(5), 229-244. doi: 10.1016/S0378-7206(97)00023-2.
Peppard, J., Ward, J., & Daniel, E. (2007). Managing the realization of business benefits from IT investments. mis Quarterly Executive, 6(1), 1-11.
Ray, G., Ling, X. U. E., & Barney, J. B. (2013). Impact of information technology capital on firm scope and performence: The role of asset characteristics. Academy of Management Journal, 56(4), 1125-1147. doi: 10.5465/amj.2010.0874.
Ruivo, P., Oliveira, T., Johansson, B., & Neto, M. (2013). Differential Effects on ERP Post-Adoption Stages across Scandinavian and Iberian SMEs1. Journal of Global Information Management, 21(3), 1-20. doi: 10.4018/jgim.2013070101.
Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & Management, 42(2), 317-327. doi: 10.1016/j.im.2003.12.013.
Saeed, K. A., & Abdinnour-Helm, S. (2008). Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems. Information and Management, 45(6), 376-386. doi: 10.1016/j.im.2008.06.002.
Shang, S., & Seddon, P. B. (2002). Assessing and managing the benefits of enterprise systems: the business manager's perspective. Information Systems Journal, 12(4), 271-299.
Soh, C., & Markus, M. L. (1995). How it Creates Business Value: A Process Theory Synthesis. ICIS 1995 Proceedings, Paper 4. Recuperado el 24 de julio de 2017, de Recuperado el 24 de julio de 2017, de http://aisel.aisnet.org/icis1995/4 .
Solow, R. (1987). We'd better watch out. New York Times Book Review, 1987.
Suh, B., & Han, I. (2003). The is risk analysis based on a business model. Information & Management, 41(2), 149. doi: 10.1016/S0378-7206(03)00044-2.
Tam, K. Y. (1998). The Impact of Information Technology Investments on Firm Performance and Evaluation: Evidence from Newly Industrialized Economies. Information Systems Research, 9(1), 85-98. doi: 10.1287/isre.9.1.85.
Tisdell, C. (2017). Information technology's impacts on productivity and welfare: A review. International Journal of Social Economics, 44(3). doi: 10.1108/IJSE-06-2015-0151.
Torkzadeh, G., & Doll, W. J. (1999). The development of a tool for measuring the perceived impact of information technology on work. Omega: The International Journal of Management Science, 27(3), 327-339.
Uwizeyemungu, S., & Raymond, L. (2010). Linking the Effects of ERP to Organizational Performance: Development and Initial Validation of an Evaluation Method. Information Systems Management, 27(1), 25-41. doi: 10.1080/10580530903455122.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. mis Quarterly, 27(3), 425-478. doi: 10.2307/30036540.
Wang, C. H., Gopal, R. D., & Zionts, S. (1997). Use of Data Envelopment Analysis in assessing Information Technology impact on firm performance. Annals of Operations Research, 73, 191-213. doi: 10.1023/A:1018977111455.
Watts, S., Shankaranarayanan, G., & Even, A. (2009). Data quality assessment in context: A cognitive perspective. Decision Support Systems, 48(1), 202-211. doi: 10.1016/j.dss.2009.07.012.
Weill, P., & Olson, M. H. (1989). Managing Investment in Information Technology: Mini Case Examples and Implications. mis Quarterly, 13 (1), 3. doi: 10.2307/248694.
Wiedenhõft, G., Luciano, E. M., & Testa, M. G. (2014). An indicators-based approach to measuring information technology governance effectiveness: A study with Brazilian professionals. ECIS 2014 Proceedings - 22nd European Conference on Information Systems, 1-12.
Yang, L.-R., Chen, J.-H., & Wang, H.-W. (2012). Assessing impacts of information technology on project success through knowledge management practice. Automation in Construction, 22, 182-191. doi: 10.1016/j.autcon.2011.06.016.
Yu, J., Lee, H., & Kim, W. (2006). Evaluation Model for Information Systems Benefits in Construction Management Processes. Journal of Construction Engineering and Management, 132(10), 1114-1121. doi: 10.1061/(ASCE)0733-9364(2006)132:10(1114).
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