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Project management has become a worldwide trend within organizations seeking continuous improvement of their processes, where maturity models for project management play an important role. The general objective of the research is to evaluate the degree of maturity in project management in order to propose strategies to improve the organizational cu...
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... Puede ser referido a recursos organizativos tales como: la madurez de los procesos; los objetos o tecnologías [21] y las capacidades de las personas [22], [23]. La mayoría de estos modelos son conceptuales [22]; se desarrollan en fases secuenciales (véase Figura 3); describen el desarrollo de una organización a lo largo del tiempo [23]; son instrumentos valiosos para los responsables de TI [24]; se han elaborado para ayudar a las organizaciones a obtener y retener ventajas competitivas [25], y se han diseñado para evaluar la madurez de un dominio seleccionado sobre la base de un conjunto de criterios más o menos exhaustivos [20], [26]. Fuente: adaptado de [27]. ...
Actualmente, la sociedad está en constante evolución; la innovación, la tecnología
y el aprendizaje son factores clave que permiten generar procesos más efectivos y
automatizados en todas las áreas de una organización. Los nuevos avances ofrecen
grandes oportunidades para desarrollar nuevos y mejores entornos de aprendizaje
con el objetivo de romper las barreras educativas que existen. El término universidad
inteligente es un concepto totalmente innovador, ya que promueve la creación
de buenas prácticas educativas, teniendo como premisa fundamental el uso de
tecnologías inteligentes para la mejora de procesos. La adopción de la tecnología
en las instituciones educativas es prometedora, pero, a su vez, asume un reto, ya
que desafía las prácticas educativas tradicionales que están consolidadas y son
ejecutadas por los docentes en la actualidad.
A pesar del constante desafío, cada vez más instituciones deciden empezar a utilizar
este tipo de herramientas que facilitan no únicamente el aprendizaje dentro del aula
de clases, sino también fuera de ellas. Por lo general, cuando se habla de universidad
inteligente, no solo se trata de la educación impartida, también hace énfasis en una
institución capaz de recolectar información por medio de tecnologías, facilitando,
de esta forma, la toma de decisiones en todas las áreas, desde las de conocimiento,
hasta las administrativas.
El concepto de Smart University está fuertemente anclado al de la potencia de las
TI, Big Data, Internet de las cosas, computación en la nube e Inteligencia Artificial,
las cuales interconectan sistemas y personas, además de estimular la innovación
para facilitar un conjunto de objetivos en beneficio de todos. El objetivo principal
de este libro es proponer el modelo de madurez de adopción de dichas tecnologías
inteligentes y su marco de trabajo (framework) a partir de un análisis que incluye
infraestructuras, arquitecturas, modelos, factores, indicadores y el concepto de
Smart University en las universidades.
El documento está organizado como sigue: el primer capítulo presenta la
contextualización de la investigación; el segundo, el marco referencial; el tercero,
los aspectos metodológicos; el cuarto, los resultados, y, finalmente, en el último,
las conclusiones, recomendaciones y trabajos futuros derivados de la investigación.
... Puede ser referido a recursos organizativos tales como: la madurez de los procesos, la madurez de los objetos o tecnologías [64] y la madurez de las capacidades de las personas [65], [66]. La mayoría de los modelos de madurez son modelos conceptuales [65], se desarrollan en fases secuenciales, ver Figura 4, describen el desarrollo de una organización a lo largo del tiempo [66], son instrumentos valiosos para los responsables de TI [22], se han elaborado para ayudar a las organizaciones a obtener y retener ventajas competitivas [67] y se han diseñado para evaluar la madurez de un dominio seleccionado sobre la base de un conjunto de criterios más o menos exhaustivos [63], [68]. ...
Smart University is a concept strongly related to smart technologies; it focuses on improving its technological infrastructure to achieve quality educational goals. Organizations, including universities, need to embrace smart technologies to leverage the capabilities they provide to transform their processes and drive them towards new organizational models. An evolutionary approach for a current university to progress in levels towards a smart university is conducive to a maturity model. Technology management in universities has an impact on the quality of their academic and administrative processes.
The literature review revealed a knowledge gap since this perspective has been very little researched and descriptive contributions prevail. Although maturity models are numerous and widely applicable, there is little documentation on how to develop them. So far, academics often do not provide detailed guidelines or useful tools to support the practical adoption of the developed models in universities. To contribute to filling this gap, the objective of the present thesis was to design a maturity model under the hypothesis that it would be feasible and a useful tool in the evolution of the smart university concept, in the adoption and management of smart technologies, and continuous improvement.
This thesis presents the integration of key factors and indicators for the adoption of four smart technologies: Cloud Computing, Big Data, Artificial Intelligence, and Internet of Things; embodied in the design of a maturity model, evaluated, and applied in a case study at the Universidad Francisco de Paula Santander Ocaña. It was found that the model is useful, relevant, and applicable to assess the evolutionary approach of current university progress towards an intelligent university. It concludes on the need for alignment of smart technologies with the processes of the organization, requiring greater interaction with senior management. In addition to this thesis, 32 academic products were obtained. A set of recommendations for future research in a constantly evolving concept are derived.
... Harold Kerzner's model is an extension of CMM, however with five levels of maturity [14,23]: Level 1 "Common Language"; Level 2 "Common Processes", Level 3 "Singular Methodology", Level 4 "Benchmarking", Level 5 "Continuous Improvement". Considering a collection and analysis of published articles that applied Kerzner's K-PMMM [24][25][26][27][28][29][30], it was observed that levels 2 and 3 are the most used. This paper focuses only on data analysis related to level 2 since it is an initial assessment of the project management maturity, highlighting the weaknesses and strengths of organizations in this field. ...
This paper contributes to the development of project management in companies that integrate biotechnology in their processes, given the increasing importance of this sector under the current context. The main goal is to assess project management maturity in a sample of companies that involve biotechnology processes, identifying their main weaknesses and strengths in project management. A quantitative approach was applied by analyzing the data collected through a questionnaire structured with the K-PMMM Level 2.
This work allowed to diagnose 96 companies of this emerging sector, still scarcely studied as concerns project management. All participating companies recognized the importance of project management, however there are still several steps to consolidate the evaluated project management practices, once only about 12,5% reached the whole five life cycle phases of project management maturity.
The originality of this work relies on the structure of the data analysis that allowed to highlight the multidimensional and simultaneous perspective of the project management maturity process. That is, a process that recognizing the need and added value of project management, implementing methodologies and tools, and having the executive and line management support. These factors must be taken care of in parallel to evolve the organization´s capacities to manage its projects consistently and long term. The study revealed that part of the participating companies meets this simultaneous multidimensional approach, although still very incompletely.
... Alpha values greater than 0.700 indicate good internal consistency and that the items are consistent in measuring the same construct-in this case, the maturity of the organization [57]. The validity of Kerzner's scale is supported by other peer-reviewed studies [58,59]. ...
Biotechnology is an emerging and increasingly important sector in the current context. As the number of biotech projects grows, so does the need to establish processes to improve project management effectiveness and project success, including assessing their impacts (positive and negative) on the Sustainable Development Goal (SDGs). This broader approach opens the door to developing a new project management (PM) paradigm designated by sustainable project management (SPM). However, there is a need for more empirical studies to understand how sustainability can be integrated into project management. This research is based on the proposition that PM maturity could lead to incorporating sustainability in PM. No research studies are reported in the literature exploring this interrelationship between maturity and sustainable project management; such is this study’s purpose and originality. The study applies Kerzner’s Level 3 PM maturity model on a sample of 96 biotech companies in Portugal through a questionnaire that addressed project managers and team members. The findings suggest that the process of integrating sustainability into PM should follow these steps: (1) perform an early PM maturity diagnosis to identify the company’s most and least dominated areas; (2) identify the strengths and weaknesses that impact the integration of sustainability into project management practices; (3) develop a customized and adjusted action plan to integrate sustainability in PM. The study’s main contribution relies on understanding how sustainability can be integrated into project management, explaining the role of maturity assessment in this process. In addition, it characterizes the biotech industry projects concerning the linkage between PM maturity and sustainability and provides recommendations that may contribute to the companies’ development towards sustainable project management.
... The general objective of this research was to evaluate the management of communications for the success of projects in a provincial university, based on the measurement of Harold Kerzner's project management maturity model (PMMM), which analyzed the factors of maturity, methodology, tools for project management and project management office (PMO) [17,18]. ...
The communication project is a key factor to achieve good results in the development of a project; this includes the processes of planning, collecting, creating, storing, controlling and distributing information in a timely manner. In this context, the general objective of the research was to evaluate the communications management for the success of projects in a provincial university. In the first instance, communications assessment at the institutional level is carried out, the type of requirements and the use of communication methods are determined and then a communications plan is proposed. The type of research is descriptive, where a series of variables are selected, each of them are measured independently in order to describe them. As a result of the research, those involved in carrying out the projects were identified, it was obtained that the management of communications ensures a better distribution of information at all levels of the institution, in addition, the design of the communications plan allows the information to be transmitted efficiently and assertively.
... They have been developed to help organizations obtain and retain competitive advantages [6]. They have been designed to assess the maturity of a selected domain based on a set of more or less exhaustive criteria [1,7]. ...
Determine the potential value of the technology that an organization has, for example, the university, is an issue that is not easy to answer. The only way to look to the future, since there is no data, is to have a very good theory or model. The application of maturity models
creates useful benefits. Its application covers a diversity of problem areas related to the development, use and impact of information technology. The human-computer interaction is part of a process of creating technology. Generating a model of intelligent maturity can be seen as an evolutionary approach for a traditional university to progress to several levels of maturity of a smart university.
