Management factors influencing lecturers' research productivity in Vietnam National University, Hanoi, Vietnam: A structural equation modeling analysis.

Increasing lecturers' research productivity plays a crucial role in improving teaching quality and university prestige. This research aims to establish and test a model for evaluating management factors that affect the research productivity of Vietnamese university lecturers. Data were collected by surveying 398 lecturers and researchers at universities affiliated with the Vietnam National University, Hanoi (VNU). Structural equation modeling (SEM) methodology was applied for data analysis. The research outcomes indicate that resources and policies to favor research activities are the two most influential factors affecting research productivity in lecturers. The decentralization factor, in contrast, did not show statistical significance, since its p-value was greater than 0.05. Based on the results obtained, several policy recommendations are proposed, namely: (i) ensuring resources for faculty's scientific research activities; (ii) improving policies for lecturers to enhance their scientific research achievements: (iii) developing strategies for scientific research activities; (iv) enhancing awareness of affiliated unit leaders about the importance of scientific research.

Correction: A dynamic generalized fuzzy multi-criteria group decision making approach for green supplier segmentation.

[This corrects the article DOI: 10.1371/journal.pone.0245187.].

A dynamic generalized fuzzy multi-criteria croup decision making approach for green supplier segmentation.

Supplier selection and segmentation are crucial tasks of companies in order to reduce costs and increase the competitiveness of their goods. To handle uncertainty and dynamicity in the supplier segmentation problem, this research thus proposes a new dynamic generalized fuzzy multi-criteria group decision making (MCGDM) approach from the aspects of capability and willingness and with respect to environmental issues. The proposed approach defines the aggregated ratings of alternatives, the aggregated weights of criteria, and the weighted ratings by using generalized fuzzy numbers with the effect of time weight. Next, we determine the ranking order of alternatives via a popular centroid-index ranking approach. Finally, two case studies demonstrate the efficiency of the proposed dynamic approach. The applications show that the proposed appoach is effective in solving the MCGDM in vague environment.