
Project management and direction organizational absorptive capacity – the PM4AC model
By William Stive Fajardo-Moreno, Milton Januario Rueda-Varón, Nelson Antonio Moreno-Monsalve, Henry Mauricio Diez-SilvaLength4h 47m
About this audiobook
This book gathers an important research process in the field of project management, addressing a current issue for the challenges posed by highly competitive environments, such as the relationship of projects with knowledge, more specifically with external knowledge. For this purpose, it uses the dynamic absorptive capacity, a concept widely used in the scientific literature but little explored in project management. The book also presents a practical tool to determine the magnitude of the dynamic absorptive capacity. This makes it possible to establish a baseline to initiate a process of continuous improvement, which provides the opportunity to improve the competitiveness of the organization based on proper knowledge management. In this same sense, the model presented in this document contains a series of intervals that offer the possibility for the organization to catalog its results qualitatively.
Audiobook details
GenrePolitics and Government
Length4 hrs 47 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateNov 24, 2023
LanguageSpanish
Table of contents
1l
2» William Stive
3Fajardo-Moreno, William Stive
4II. Moreno-Monsalve, Nelson Antonio
5Catalogación en la fuente: Biblioteca Universidad EAN
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6Prologue
7Presentation
8Introduction
9Chapter 1: Background
10and performance in organizations
11Omeno & Sang (2018); Blixt & Kirytopoulos (2017).
12(Helfat & Martin, 2015)
13T. Flatten, Adams, & Brettel (2015)
14Potential absorptive capacity
15Antecedents
161.5. Measurement of dynamic absorptive capacity
171.6. Dynamic absorptive capacity in project management
18Chapter 1: Background
19Determinant n
202.1. Description of the model domain
21Source. Zahra & George (2002).
22Competitive advantage
232.2. Model overview
24Potential absorptive capacity
25Background
26Bluedorn & Denhardt (1988); Belout (1998); Hyväri (2016); Clarke (1999).
27Result
28N of Items
29Petroleum and natural gas extraction.
301 to 5 people
3110 to 20 people
326 to 10 people
33Education
34Figure 15. Distribution of project control tools
35Kaise-Meyer-Olkin Measure of Sampling Adequacy
36Sig.
37PAS13
38Project success (PS)
39ACQ
40Q C A
412 Cluster_ACQ
42Figure 16. Box diagram for the variable Acquisition (ACQ)
43ASS
442 Cluster_ASS
45RTR
462 Cluster_RTR
47Figure 18. Box diagram for the variable Transformation (TRA)
48EXT
49P X E
502 Cluster_EXP