Purpose The main purpose of this work is a bibliometric and descriptive review of the literature on instruction planning of training offered in the e-learning modality in work corporations to identify methodologies and experiences that will serve as a model for professionals working in planning e-learning training in the corporate context. Design/methodology/approach The timeline from 2010 to 2020 was adopted. Data were extracted from five databases and were compiled in the software Zotero. Based on defined criteria, 260 productions were identified. The interrelation and metric presentation of the data from these studies were done in the software VosViewer. Subsequently, were selected only free access papers, resulting in 64 publications. From these, we chose 6 empirical studies for a descriptive analysis based on specific criteria. Findings The range of hardware and software platforms has stimulated the use of virtual reality (VR) and augmented reality (AR) and artificial intelligence (AI) resources in corporative training. The use of management tools, such as Voice of Customer (VOC) and Quality Function Deployment (QFD), can support those responsible for instructional planning. The literature presented important elements that should be considered for the proper planning of an e-Learning training: learner: feedback, control of self-learning process, classification of cultural profiles in the case of courses in which participants are geographically distant and training management: content and delivery mode of instruction. Originality/value We selected 6 empirical studies that presented models, systems or experiences on training planning to support decisions in this area. This article contributes to the area of T&D showing an updated context of practices for the implementation of training systems that have been adopted in several countries. We present quantitative indicators of scientific production using two additional software to support the bibliometric review: Zotero and VosViewer. This article used five databases and a research equation to systematically present the current panorama of research on training planning from the perspective of the areas of management and organizational psychology.

Purpose The purpose of this study is a bibliometric and descriptive review of the literature on instruction planning of training offered in the e-learning modality in work corporations to identify methodologies and experiences that will serve as a model for professionals working in planning e-learning training in the corporate context. Design/methodology/approach The timeline from 2010 to 2020 was adopted. Data were extracted from five databases and were compiled in the software Zotero. Based on defined criteria, 260 productions were identified. The interrelation and metric presentation of the data from these studies were done in the software VosViewer. Subsequently, were selected only free access papers, resulting in 64 publications. From these, the authors chose six empirical studies for a descriptive analysis based on specific criteria. Findings The range of hardware and software platforms has stimulated the use of virtual reality (VR) and augmented reality and artificial intelligence (AI) resources in corporative training. The use of management tools such as voice of customer (VOC) and quality function deployment (QFD), can support those responsible for instructional planning. The literature presented important elements that should be considered for the proper planning of an e-learning training: learner: feedback, control of self-learning process, classification of cultural profiles in the case of courses in which participants are geographically distant and training management: content and delivery mode of instruction. Originality/value The authors selected six empirical studies that presented models, systems or experiences on training planning to support decisions in this area. This study contributes to the area of T&D showing an updated context of practices for the implementation of training systems that have been adopted in several countries. The authors present quantitative indicators of scientific production using two additional software to support the bibliometric review, namely, Zotero and VosViewer. This study used five databases and a research equation to systematically present the current panorama of research on training planning from the perspective of the areas of management and organizational psychology.

Goal: The present work aims to improve the project portfolio selection processes under uncertainty of pharmaceutical companies by integrating two Multicriteria Decision Making (MCDM) methods in a fuzzy environment: the AHP and the VIKOR methods. Design / Methodology / Approach: We employed normative axiomatic modeling as the methodology for our work. The MCDM are subjective methods representing decision-makers preferences and assisting the project portfolio selection process. Thus, the model is founded on integrating the fuzzy-AHP and fuzzy-VIKOR methods; the first one determines the importance of the company's strategy and the second for elaborating the project ranking. We validated this methodology in a Brazilian subsidiary of one of the biggest pharmaceutical enterprises worldwide. Results: The developed model considers the evaluators' scores' indecision, enhancing the project portfolio selection process and optimizing its decision-making. Limitations of the investigation: The proposed method does not verify the correlation, interdependence, or cannibalization between the criteria and the projects, which are common limitations to MCDM subjective approaches. In addition, resource constraints are not considered and scheduling routines. Practical implications: The pharmaceutical market is heated by the increase in life expectancy, greater access to medications, and the most recurrent disease outbreaks, resulting in greater competitiveness, increasing the need for companies to seek greater strategic projects selection efficiency. Originality / Value: A well-structured and assertive project portfolio selection becomes extremely important for the pharmaceutical market to keep the company competitive in the market, which explains the importance of this work.