Factores que tienen impacto en la generación de valor de una oficina de gestión de proyectos de TIC, en organizaciones grandes del Estado de Nuevo León (Factors that have an impact on the value generation of an ICT project management office in large organizations of the State of Nuevo León)

Autores/as

  • Jesús Garza Sánchez
  • Miguel Ángel Palomo González

DOI:

https://doi.org/10.29105/rinn15.29-5

Resumen

Abstract. It is common to see in organizations that are continually seeking administrative efficiencies that result in cost reduction, especially in times with economic pressures, even in those that can be financially healthy, reduce fixed costs through layoffs, regularly in departments that apparently do not generate income. Information and communications technology project management offices have not been fully accepted as an indispensable part in modern organizations; they must justify their existence by demonstrating that they can improve the performance of a company by modernizing or restructuring operations; they often have difficulty demonstrating their value to other executives; this is a serious problem, so that about half disappear after 2 years of having started; The above can happen even when they have a positive effect on the company; because in many cases, they do not show their benefit correctly (O'Brochta, M 2002).The foregoing also applies to Mexican organizations. However, these offices have arguments with which they can justify their existence. On the other hand; there is a continuing concern of ICT PMOs to measure their own performance, according to the study carried out by doctors Hobbs & Aubry (2007, p. 82) where they conclude that 50% of the cases studied had the function of monitoring and control their own performance.

Key words: information and communications technology, international Organization for Standarization, Project Management Book of Knolwedge, Project Management Institute, project management office

JEL: C39, O32.

Resumen. Es común ver en las organizaciones que continuamente están buscando eficiencias administrativas que traigan como resultado la reducción de costos, sobre todo en épocas con presiones económicas, aún en aquellas que pueden ser financieramente saludables, realizan disminución de gastos fijos por medio de despidos, regularmente en departamentos que aparentemente no generan ingresos. Las oficinas de administración de proyectos de tecnología de información y comunicaciones no han sido totalmente aceptadas como parte indispensable en las organizaciones modernas; deben justificar por si mismas su existencia demostrando que pueden mejorar el desempeño de una compañía al modernizar o reestructurar las operaciones; a menudo tienen dificultad para demostrar su valor a otros ejecutivos; esto les constituye un serio problema, de tal forma que cerca de la mitad desaparecen después de 2 años de haber iniciado; lo anterior puede ocurrir aún y cuando tengan efecto positivo en la compañía; debido a que en muchos de los casos, no evidencian correctamente su beneficio (O'Brochta, M 2002). Lo anterior también aplica para las organizaciones Mexicanas. Sin embargo, estas oficinas disponen de argumentos con los cuáles pueden justificar su existencia. Por otra parte; existe una continua preocupación de estas oficinas por medir su propia actuación, lo anterior de acuerdo al estudio realizado por los doctores Hobbs & Aubry (2007, p. 82) en donde concluyen que el 50% de los casos estudiados tenían como función monitorear y controlar su propia actuación.

Palabras clave: Instituto de Gestión de Proyectos, oficina de administración de proyectos, Organización Internacional de Normalización, PMBOK, tecnología de información y comunicaciones

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Citas

Andersen, B., Henriksen, B. & Aarseth, W. (2007). Benchmarking of project management office establishment: Extracting best practices, Journal of Management in Engineering, 23(2), 97-104. DOI: https://doi.org/10.1061/(ASCE)0742-597X(2007)23:2(97)

Baker, B. (2007). Definition impossible, PM Network, 21(6), 25.

Barclay, D., Higgins, C. & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration, Technology

Studies, Special Issue on Research Methodology, 2(2), 285-309.

Brantley, W. (2007). Justifying the value of a project management deployment in your organization through an ROI impact study. 2007 PMI Global Congress Proceedings.

Atlanta, GA: PMI, 1-10.

Chin, W. W. (1998a). Issues and opinion on structural equation modeling, MIS Quarterly, 22(1), 7-16.

Chin, W. W. (1998b). The partial least squares approach to structural equation modeling. En Marcoulides, G. A. (ed.) Modern methods for business research. Mahwah, NJ:

Lawrence Erlbaum Associates, Publisher, 295-336.

Chin, W. W., Marcolin, B. L. & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo

simulation study and an electronic-mail emotion, Information Systems Research, 14(2), 189-217.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Mahwah, New Jersey: Lawrence Erlbaum.

Dai, C. X. & Wells, W. G. (2004). An exploration of project management office features and their relationship to project performance, International Journal of Project DOI: https://doi.org/10.1016/j.ijproman.2004.04.001

Management, 22(7), 523-532.

Duggal, S. J. (2006). Next generation PMO. The Secret of a Successful PMO. 2006 PMI Global Congress Proceedings. Seattle: PMI.

Duggal, S. J. (2009). In the pursuit of the elusive: Showing PMO value. 2009 PMI Asia Pacific Congress Proceedings. Kuala Lumpur, Malaysia: PMI.

Duggal, S. J. (2010a). Next level up: How do you measure project success Rethinking the triple constraint. PMI Community Post.

Duggal, S. J. (2010b). To measure project managers, create a performance scorecard. PMI Global Congress 2009. Kuala Lumpur, Malaysia: PMI.

Fornell, C.; D.F. Larcker (1981). Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18(1), 39-50. DOI: https://doi.org/10.1177/002224378101800104

Garson, G. D. (2016). Partial Least Squares: Regression and structural equation models. Asheboro, NC: Statistical Associates Publishers.

Geisser, S. (1974). A predictive approach to the random effects model, Biometrika, 61(1),101-107. DOI: https://doi.org/10.1093/biomet/61.1.101

Hair, J. F. Jr., Hult, G. Tomas M., Ringle, C. & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage

Publications.

Hair, J. F. Jr., Anderson, R. E., Tatham, R. L. & Black, W. C. (1999). Análisis multivariante. 5a. Edición. Madrid: Prentice Hall Iberia.

Hair, J., Ringle. C. M. & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet, Journal of Marketing Theory and Practice, 19(2), 139-151. DOI: https://doi.org/10.2753/MTP1069-6679190202

Henseler, J., Ringle, C. M. & Sinkovics, R. R. (2009). The use of Partial Least Squares path modeling in international marketing, Advances in International Marketing, 20, 277- DOI: https://doi.org/10.1108/S1474-7979(2009)0000020014

Hernández, R., Fernández, C. & Baptista, P. (2006). Metodología de la investigación. Toluca:McGraw Hill.

Hobbs, B. & Aubry, M. (2007). A multi-phase research program investigating Project Management Offices (PMOs): The results of phase 1, Project Management Journal, DOI: https://doi.org/10.1177/875697280703800108

(1), 74-86.

Höck. C, Ringle, C. M. & Sarstedt, M. (2010). Management of multi-purpose stadiums:Importance and performance measurement of service interfaces. Journal Technology DOI: https://doi.org/10.1504/IJSTM.2010.034327

and Management, 14(2/3), 188-207.

Höck, M. & Ringle, C. M. (2006). Strategic networks in the software industry: An empirical analysis of the value continuum. IFSAM VIIIth World Congress, Berlin 2006, 1-18.

Hurt, M. & Thomas, J. L. (2009). Building value through sustainable project management offices, Project Management Journal, 40(1), 55-72. DOI: https://doi.org/10.1002/pmj.20095

Kendall, G. I. & Rollins, S. C. (2003). Advanced project portfolio management and the PMO. Multiplying ROI at warp speed. Boca Raton: J. Ross Publishing.

Kwak, Y. H. & Xiao Yi Dai, Ch. (2000). Assessing the value of project management offices (PMO). PMI Research Conference 2000 Proceedings, Paris: PMI. 1-8.

Letavec, C. J. (2006).The Project Management Office. Establishing, managing and growing the value of a PMO. Boca Raton: J. Ross Publishing.

Letavec, C. J. & Bolles, D. (2010). The PMOSIG program management office handbook.

Strategic and tactical insights for improving results. Boca Raton: J. Ross Publishing.

Nunnally, J. C. (1978). Psychometric theory. New York: McGraw Hill.

O ́Brochta, M. (2002). How to demonstrate the value of the PMO. Information Management. p.1, párr.1. How your business works. New York. Recuperado de:

http://www.information-management.com/infodirect/2011_240/Project-anagement-

value-KPI-ROI-10022347-1.html

Pinto, A., De Matheus, M. F. & Levin, G. (2010). The PMO maturity cube, a Project Management Office maturity model. 2010 PMI Research and Education Congress

, Washington D.C: PMI.

PMI PMBOK Guide (2012). The Project Management Body of Knowledge (PMBOK). New Town Square: Book Store Administrator, PMI Publications.

PULSE (2012). Pulse of the profession. The impact of PMO ́s on the strategies implementation. Newtown Square: Project Management Institute.

PULSE (2013). Pulse of the profession - The impact of PMO ́s on the strategiesimplementation. Newtown Square: Project Management Institute

PULSE (2014). PMI’s pulse of the profession: The high cost of low performance. Newtown Square: Project Management Institute.

Ringle, C., Wende, S. & Will, A. (2005). SMARTPLS 2.0. Hamburg: Hamburg University.

Ruiz, M.; Pardo, A.; San Martín, R. (2010). Modelos de ecuaciones estructurales. Papeles del Psicólogo, 31(1), 34-45.

Stanleigh, M. (2009). Underscoring the value – and ensuring the survival – of the Project Management Office, Ivey Business Journal, 73(4), 7-12. DOI: https://doi.org/10.3923/rjbm.2010.73.82

Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions, Journal of the Royal Statistical Society, 36(2), 111-147. DOI: https://doi.org/10.1111/j.2517-6161.1974.tb00994.x

Ward, J. L. (2010). The PMO in hard times: Adding value or adding cost. 2010 PMI Global Congress Proceedings. Milan: PMI.

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Publicado

2019-03-21

Cómo citar

Garza Sánchez, J., & Palomo González, M. Ángel. (2019). Factores que tienen impacto en la generación de valor de una oficina de gestión de proyectos de TIC, en organizaciones grandes del Estado de Nuevo León (Factors that have an impact on the value generation of an ICT project management office in large organizations of the State of Nuevo León). Revista Innovaciones De Negocios, 15(29). https://doi.org/10.29105/rinn15.29-5