Poor project requirements definition and management (RDM) is one of the major causes of project failure. However, many organizations do not adequately manage a project's requirements leading to a poor design basis. Thus, quality of requirements is critical to the success of any construction project. The primary purpose of this research was to investigate the mediating effect of requirements quality on the relationship between RDM practice and project performance. The second objective was to determine whether the impact of RDM practice on project performance was moderated by project characteristics. A three-phase approach was employed to investigate construction projects in the Taiwanese building industry. The testing supports a role for requirements quality as a partial mediator in the relationship between RDM practice and project performance. The findings also indicate that project characteristics have a moderating effect on the relationship between requirements quality and overall project performance. Santrauka Prastai apibrėžti ir valdomi projekto reikalavimai – viena iš pagrindinių projekto nesėkmės priežasčių. Tačiau daug organizacijų neskiria pakankamai dėmesio projekto reikalavimų valdymui, todėl sukuriamas prastas projektavimo pagrindas. Taigi kokybės reikalavimai yra esminis sėkmės garantas bet kuriame statybų projekte. Pagrindinis šio tyrimo tikslas – išnagrinėti, kaip reikalavimų kokybė veikia jų apibrėžimo ir valdymo ryšį su projekto efektyvumu. Antrasis tikslas – nustatyti, ar projekto savybės mažina reikalavimų apibrėžimo ir valdymo poveikį projekto efektyvumui. Pritaikius trijų etapų metodą, išnagrinėti statybų projektai Taivano statybų sektoriuje. Bandymai patvirtino, kad reikalavimų kokybė iš dalies keičia jų apibrėžimo ir valdymo ryšį su projekto efektyvumu. Išvados taip pat rodo, kad projekto savybės riboja reikalavimų kokybės bendram projekto efektyvumui poveikį.

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Requirements definition affects work performed in subsequent phases of a project. Thus, the compliance with requirements is crucial to the success of a project. The primary objective of this research was to develop a comprehensive framework for evaluating key building project requirements. The second objective was to identify and prioritize important project requirement using the analytical network process (ANP). The third objective was to examine the impact of requirement completeness on project success using structural equation model (SEM) analysis. A four-phase approach was employed to achieve the goals. The results suggest that building programming and site information have a higher priority in requirement definition than project control, project strategy, and project design parameter. The findings also indicate that requirement completeness may contribute significantly to building project success in terms of schedule success, cost success, quality performance, and overall benefit. Phase 4: Examine the associations between requirements completeness and project successFor acceptable inconsistency, CR must be less than 0.10 ( Three optional responses: applicable, not applicable, or need to Assess how important each of the requirements is for planning buThe structural model includes a set of exogenous and endogenous variables in the model, Goodness of fit statistics can be computed to determine whether A survey was developed to investigate the degree to which the pr The interviews encompassed 11 executives from the Owner, A/E, and GC groups.A questionnaire was developed based on the results of the work done in Phase 1.Responses are given on 7-The sample focused on from the Owner, A/E, and GC groups.

The purpose of this study was to investigate the extent to which integration/automation technologies are being used in executing projects in the Taiwanese and American industries and to quantify the similarity and difference in technology usage in the two areas. This was accomplished by two industry-wide surveys and analysis of 209 American projects and 98 Taiwanese projects. Descriptive statistics were developed to determine project-, phase-, and work function-level technology usage. Additionally, hypothesis testing was performed to identify the difference in technology usage between the Taiwanese and American industries. Findings from this study help explain the difference of project stakeholders' interest in introducing integration/automation technologies in the two different geographic regions.