مدل موفقیت سیستم اطلاعاتی مدیریت پروژه در ساخت و ساز
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|7472||2012||12 صفحه PDF||سفارش دهید||9480 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Automation in Construction, Volume 25, August 2012, Pages 82–93
Among various IT solutions, the internet-based (or web-based) PMIS has been highlighted because of its strong advantages. While not sufficient to insure project success, using PMIS to manage projects has thus become a necessity. Establishing a success model of a specific information system is critical to understand the mechanism of IS success, the various dimensions of IS performance, and the factors and their causal relations in IS success. As one of the key IT applications, the project management information system (PMIS) has played a significant role in construction management processes. While not sufficient to insure project success, using PMIS to manage projects has thus become a necessity. However, research that attempts to establish or apply an IS success model have relatively recently begun to emerge and not many have been carried out as yet. Therefore, the main propose of this study is to develop and validate the ASP-PMIS success model based on the DeLone and McLean (2003) IS success model. A questionnaire instrument was remitted to experienced users (CMs and constructors), and 253 completed questionnaires were retrieved. Using AMOS 18.0, we used Structural Equation Modeling for hypothesis testing. The validated ASP-based PMIS success model can serve as a foundation for positioning and comparing PMIS success research, and can provide users with a useful framework for evaluating PMIS success.
The architectural, engineering, and construction (AEC) industry is characterized by fragmentation which exists both within individual phases as well as across project phases . Because of this fragmentation, participants from various organizations who are involved in a project phase or in different project phases are facing ineffectiveness and inefficiency in their coordination, collaboration and communication processes. As a tool to reduce the problems generated by this fragmentation, Information Technology (IT) is routinely and extensively used in the construction industry . Powerful project management software has become a prerequisite to manage the projects more efficiently and effectively, and aid the project managers in their decision-making . The advantage of an information system is that it helps to promote productivity by effectively processing and providing necessary information to an organization and supporting their efficient work performance. The importance of information has been emphasized for enhancing communication, and the efficient management of construction information has been emerging as an element that determines the success of a project that involves many stakeholders . Thus, in construction projects, various types of IS, such as construction management or business software, have been developed, applied, and widely used . In the Korean construction industry, in particular, a project management information system (PMIS) is being extensively utilized due to its numerous advantages. It is very important to systematically assess the effects of the utilization of IS as well as other managerial resources on project management. Such assessment is essential for establishing and utilizing effective, efficient IS. Moreover, it is necessary to assess the success and performance of an established IS with appropriate criteria for continual improvements. The research related IS assessment, which has been actively conducted, can be divided largely into research to assess quantitative performance and qualitative performance . Nevertheless, in both types of research, it is as important to determine the factors affecting the success of IS utilization as it is to assess its performance. This is because the factors can be used to predict the performance or success of an IS or to define a mechanism for achieving the success of an IS. In this respect, IS success models are significant in relevant research fields for the following reasons. First, IS success models are used to provide a generalized framework that explains IS success, enabling researchers to select and define one dimension that is appropriate for a certain condition . Second, based on proven IS success models, a systematic combination of individual criteria that correspond to the IS success category can facilitate the establishment of a comprehensive scale for measuring the success of an IS . Third, IS success models can be used by researchers to explore the causal relationship between the success of an IS and its drivers and can be used as a mechanism by end-users to determine whether the expected performance of an IS has been achieved . Fourth, numerous studies that attempted to empirically verify IS success models firmly support the relationship of the criteria to success and help to ascertain the causal structure in models . One of the most widely applied IS success models is the DeLone and McLean IS success model. DeLone and McLean proposed various views and variables of the success of an IS  and, since then, a significant amount of research in many fields has been conducted to verify, extend, and improve the model. In the construction field, research using IS success models has recently been carried out to examine a success model for enterprise resource planning (ERP) in construction  and , the utilization of electronic document management (EDM) , and the effect of a PMIS on project managers and project success . Nonetheless, research of success models for ASP-based PMIS that reflect construction project stakeholders’ opinions are scarce in Korea and, accordingly, any mechanism for the performance achievement or the success of ASP-based PMIS has yet to be defined. The main purpose of this research is to develop and validate the ASP-based PMIS success model based on a revised version of the DeLone and McLean IS success model that is already widely applied . This research is structured as follows. First, we review IS Success Models developed by other researchers and PMIS in construction and define PMIS success in construction. Second, based on a literature review, each measured item of the PMIS success model and a comprehensive set of hypotheses are proposed. Third, the methods and results of a survey are presented. Finally, theoretical and managerial implications and directions for future research are discussed. PMIS in construction can be largely categorized into three types of information systems: those that are self-developed and used in construction firms; systems based on a widely distributed application service provider (ASP); and specialized systems used in specific capital projects . The data used to test the research model were obtained from a sample of experienced users (CMs and constructors) of PMIS. To generalize the results, the respondents were spread across construction sites. Using AMOS 18.0, we used structural equation modeling (SEM) for hypothesis testing. A two-phased approach was used, based on Anderson and Gerbing . First, the measurement model was estimated using confirmatory factor analysis (CFA) to test the overall fit of the model, as well as its validity and reliability. Second, the hypotheses were tested between constructs using the structural model. Based on this analysis, this study will also discuss whether an existing IS success model can be effectively applied to ASP-based PMIS and will make suggestions for the development of an IS success model suitable for an ASP-based PMIS. The elements of success that are verified through the ASP-based PMIS success model suggested in this study can be used to assess systems and predict their success. Moreover, the implications of this research are expected to contribute to the development of a success model with higher explanatory power in the future.
نتیجه گیری انگلیسی
The ASP-based PMIS is recognized as an essential supporting tool in construction management for successful project performance. To obtain expected effectiveness using ASP-based PMIS, efforts to increase user satisfaction by improving existing systems through the process of understanding user demands through periodical evaluations are needed. Therefore, this study develops and validates ASP-based PMIS success model in construction. The proposed success model consists of seven factors including system quality, information quality, service quality, intention of PMIS use, user satisfaction, impact of efficient construction management and impact of effective construction management. In this model, efficient and effective construction management is used to measure PMIS success. In this research, several important implications for PMIS success are as follows. 5.1. The good model fit of research model “The impact of efficient construction management” and “the impact of effective construction management” constitute more than 50% of the variance. This means that the configuration of constructors is correct. According to the proposed model, the impact of efficient construction management and the impact of effective construction management are considered to be a closer measure for PMIS success than the other five constructs. We also obtain evidence that there are strong connections between the five success constructs, supporting the hypothesized relationships, except the relationships between “system quality” and other constructs. That is, information and service quality of PMIS, one of the means for supporting construction management, will positively affect “intention of PMIS use” and “user satisfaction”. User satisfaction, which is individual satisfaction, will positively affect intention of PMIS use. Organizational communication is improved by organizationally expanding PMIS usage. Ultimately, this will positively affect efficient and effective construction management. Therefore, in order to increase efficient and effective construction management, the developer of PMIS needs to appropriately develop and manage information systems with good information quality and service quality, which in turn will influence PMIS usage behavior and satisfaction. 5.2. The relationship of user satisfaction and PMIS success User satisfaction has the strongest total effect on efficient and effective construction management. These results demonstrate that the increase in user satisfaction (e.g. utilization of information, satisfaction of cost, overall satisfaction) will improve efficient and effective construction management. Then, to improve user satisfaction, information and service quality which have significant influence on user satisfaction should be managed. 5.3. The relationship of intention to use PMIS and PMIS success In the hypothesis, this research assumes that when improved PMIS quality leads to expanding usage, the greater effects are archived. According to the analysis results, intention of PMIS use (e.g. the intention to recommendation and the intention to reuse) has the strongest total effect on effective construction management. That is, the more expending the PMIS use within organization or between organizations, the more improving information sharing and collaboration. Ultimately, project success factors (such as a management area supported by PMIS) can be achieved. In the relationship between PMIS quality and intention of PMIS use, the direct effect by PMIS quality is lower than indirect effect by PMIS quality. In other words, it is that user satisfaction plays an important role as a parameter between PMIS quality and intention of PMIS use. Therefore, developers of PMIS should periodically conduct user evaluation and reflect their demands. Also, to increase intention of PMIS use, the developers of ASP based PMIS specially need to improve information quality. 5.4. The relationship of PMIS quality and PMIS success Information quality contributed more to efficient and effective construction management than service quality. On the other hand, the effect of system quality on intention of PMIS use is very low and is nonexistent on user satisfaction. This means that, because the system environment (computer and internet) maintains a high level in the construction sites, system quality is not a critical factor for PMIS success. However, system quality is not consideration of PMIS developers but low priority of improvement. Therefore, the system quality is continually managed and maintained the current level. Any strategy established should take into consideration the effects of the system quality; otherwise it would be considered incomplete . The results of this research propose a mechanism for achieving the success of an ASP based-PMIS by defining factors affecting PMIS success and measurement items of the factors and analyzing the relationship among the factors. In terms of the PMIS developer, they can understand quality factors and their importance to continuously improve PMIS and utilize them as a future guideline to enhance PMIS functions. Moreover, in terms of the PMIS user, they will be able to be used as a standard for evaluation aimed at selecting an appropriate construction PMIS to provide a better construction management. Our findings can provide some insights into related research since the investigation of PMIS success models is relatively new. However, the investigation is based on an information system in a particular country. Thus, the interpretation of the results should be confined to Korea or to countries with similar settings.