Project Management Information System (PMIS) is a special purpose information system that is created to provide useful information for project managers and participants to make effective and efficient decision making during projects. The use of PMIS is increasing in project based industries such as construction, defense, manufacturing, software development, telecommunication, etc. It is generally known that PMIS helps to improve the quality of decision making in project management, and consequently improves the project management performance. However, it is unclear what are the difference of PMIS impacts between industries, and still need to be studied further. The purpose of this study is to compare the impact of PMIS on project management performance between industries. We assume that the effects of PMIS will be different depending on the industry types. Five hypotheses are established and tested by using statistical methods. Data were collected by using a survey questionnaire from those people who had experience of using PMIS in various project related industries such as construction, defense, manufacturing, software development and telecommunication. The survey questionnaire consists of 5 point scale items and were distributed through e-mails and google drive network. A total of 181 responses were collected, and 137 were used for analysis after excluding those responses with missing items. Statistical techniques such as factor analysis and multiple regression are used to analyze the data. Summarizing the results, it is found that the impacts of PMIS quality on the PM performance are different depending on the industry types where PMIS is used. System quality seems to be more important for improving the PM performance in construction industry while information quality seems more important for manufacturing industry. As for the ICT and R&D industries, PMIS seems to have relatively lesser impact compared to construction and manufacturing industries.

It is important to understand consumer attitudes associated with their eco-friendly behavior on account of not only environmental reasons, but also corporate aspects. In this study, we examine the relations between variables influencing eco-friendly attitudes and eco-friendly behavioral intentions, namely, recycling, reusing, and reducing (3R). We first, performed a theoretical consideration through reviews of literature on ethical identity, ethical obligation, altruism, and eco-friendly attitudes, and behavioral intentions. Based on the literature review, we designed a study model and drew hypotheses. Further, we collected data using a survey and processed them statistically in order to verify the hypotheses. A total of 265 samples were collected and the data were analyzed using a structural equation model (-LISREL 8.70). The results suggest that ethical identity and altruism significantly influence environmental attitudes. However, the effects of ethical obligations on eco-friendly attitudes are insignificant. The environmental attitudes have a significant effects on the consumer behavioral intention for recycling, reusing, and reducing. Although this study has some limitations, it is expected that it will positively trigger follow-up research.