Yeon-Sik Ryu

In this study, our aim is to present a comprehensive systematic review on digitalization (DT) in facility management (FM) and FM performance management (PM). Past research on these themes indicated that either research articles on DT in FM or research studies on FM PM are separately dealt with. However, in contrast, in our literature review, we try to present a holistic literature review by integrating both research streams on DT applications for FM and FM PM. A total 130 academic journal articles published on these subjects, between 1990 and 2021, from Web of Science and Google Scholars, were reviewed in this article. Moreover, this article identified a number of possibilities for future research on DT and FM PM, including the interoperability enhancement of building information modeling (BIM) methodology, the test and implementation of BIM concept for smart transportation infrastructure, usage of the integration of 3D analysis algorithms, the perfect cross integration of BIM and geographic information system (GIS) and systematic research efforts with new methodologies and theoretical constructs. We hope that this article will help researchers determine the areas where further research must be conducted and what kind of future directions would be valuable for DT and PM in FM.

This study attempts to identify the key factors inhibiting the bribery practices of multinational enterprise (MNE) subsidiaries directed at local managers in China. During the experiment, this study employs an institutional theory, identifies primary determinants on the phenomenon, and compares the main components between old versus young subsidiaries. Data were collected through a questionnaire survey and both regression and spearman rank order correlation analyses were used as statistical techniques. Through the analyses, we found that a cognitive pillar is a crucial element contributing to the inhibition of bribery practices, the enhancement of institutional quality, and the promotion of sustainable development in the emerging economy. We expect that the results will provide useful implications for MNE managers planning to invest in China and for policy makers enacting institutional environments.