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Showing 7 results for Construction

Hanan Nazzal,
Volume 0, Issue 0 (10-2024)
Abstract

Despite technological advancements (e.g., BIM, AI, IoT), the construction industry exhibits low digital maturity, hindered by persistent managerial challenges, including cultural resistance, rigid hierarchies, and institutional inertia. This study investigates Strategic Digital Leadership (CDiLe) as a catalyst for overcoming these barriers and enabling sustainable competitiveness. Employing a systematic review of 60 peer-reviewed articles (2015-2023) from Scopus, Web of Science, and ProQuest, thematic coding synthesized evidence across theoretical and regional contexts. Findings reveal that CDiLe characterized by participatory leadership, strategic visioning, digital literacy, and resource alignment, facilitates agile, data-driven, and sustainable decision-making. Organizations implementing CDiLe principles demonstrate significant gains, including project efficiency improvements (up to 30%) and reduced delays (by 25%). The study presents an empirically grounded framework for leadership-driven digital transformation, focusing on practical organizational change interventions, particularly in emerging markets. It advances scholarship by reframing digital transformation as fundamentally leadership-led, not merely technology-driven, and offers actionable pathways for firms and policymakers to embed digital strategy into construction management, guiding future empirical validation.
 
M Shofoluwe, A. Ofori-Boadu, L. Waller, C Bock-Hyeng,
Volume 23, Issue 1 (3-2012)
Abstract

New home buyers in United States are becoming more discriminating in their home buying decision. They are demanding quality construction at reasonable prices. The current state of construction market also gives construction buyers more ammunition to be more discriminate when they choose to purchase homes.  To be competitive and remain in business, housing contractors and developers must meet the growing quality demands of the customers. Thus, the competition to meet the buyers’ quality demand has forced many of them to rethink the ways they build their homes. The improved designs, and construction methods and practices have resulted into award-winning quality-built homes for many of these contractors. This study was conducted to examine the quality improvement characteristics of selected award-winning residential builders and housing developers in selected counties in North Carolina, U.S.A.  Through a structured questionnaire, the researchers collected information relative to their common quality characteristics, organizational culture and overall business practices. Data analysis was performed using basic descriptive statistics. The results show that regular inspection of work in progress, feedback from customers, and immediate attention to punch list items, were highly ranked among the quality characteristics evaluated.
Farnad Nasirzadeh, Hamid Reza Maleki, Mostafa Khanzadi, Hojjat Mianabadi,
Volume 24, Issue 1 (2-2013)
Abstract

Implementation of the risk management concepts into construction practice may enhance the performance of project by taking appropriate response actions against identified risks. This research proposes a multi-criteria group decision making approach for the evaluation of different alternative response scenarios. To take into account the uncertainties inherent in evaluation process, fuzzy logic is integrated into the revaluation process. To evaluate alternative response scenarios, first the collective group weight of each criterion is calculated considering opinions of a group consisted of five experts. As each expert has its own ideas, attitudes, knowledge and personalities, different experts will give their preferences in different ways. Fuzzy preference relations are used to unify the opinions of different experts. After computation of collective weights, the best alternative response scenario is selected by the use of proposed fuzzy group decision making methodology which aggregates opinions of different experts. To evaluate the performance of the proposed methodology, it is implemented in a real project and the best alternative responses scenario is selected for one of the identified risks.
Dr. Yahia Zare Mehrjerdi, Ehsan Haqiqat,
Volume 26, Issue 4 (11-2015)
Abstract

Abstract Project management in construction industry, in many cases, is imperfect with respect to the integration of Occupational Health and Safety (OHS) risks. This imperfection exhibits itself as complications affecting the riskiness of industrial procedures and is illustrated usually by poor awareness of OHS within project teams. Difficulties on OHS regularly came about in the construction industry. The integration of OHS risk is not systematic in construction areas in spite of progressing laws and management systems. As project safety and risk evaluation in construction industry is an important issue, thus, the way on doing evaluation and liability of estimation is necessary. In this paper, we propose a new systematic approach based on Latin Hypercube Sampling (LHS) for integrating occupational health and safety into project risk evaluation. This approach tries to identify and evaluate reinforcement effects in a systematic approach for integrating OHS risks into project risk assessment. Furthermore, the proposed method allows evaluating and comparing OHS risks before and after the mitigation plan. A case study is used to prove the workability, credibility of the risk evaluation approach and uncomplicated integration of OHS risks at a construction project. This approach enables continual revaluation of criteria over the direction of the project or when new information is obtained. This model enables the decision makers such as project managers to integrate OHS risks toward schedule plan and compare them before and after the mitigation plan. The mentioned model is found to be useful for predicting OHS risks in construction industries and thus avoiding accidents over the path of the project.

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Ahmad Makui, Pooria Moeinzadeh, Morteza Bagherpour,
Volume 27, Issue 3 (9-2016)
Abstract

Due to the particular importance of projects in human life and in organizations, proper project management has been always regarded highly by researchers and practitioners. Recent advances in technology and fundamental changes in most scientific areas have affected projects and made their nature and environmental circumstances much more complex than in the past. Fortunately, in recent years, many scholars have recognized the importance of complexity in modern project management and tried to identify its various aspects. Furthermore, one of the main factors for a project’s success is the assignment of an appropriate project manager. Many studies have been done about project managers' competencies and the selection methods of a suitable project manager. In most of these researches, the amount and type of project complexity have been explained as influential factors for determining the competent project manager. However, a specific approach for project manager selection considering the complexity of projects is not provided yet. Hence, in this paper we try to design and implement a fuzzy group decision making approach to allocate the best project manager taking into account the project complexity. Also, owing to the importance of construction projects in the development of countries' basic infrastructures, we exclusively studied this kind of projects. Finally, it should be noted that from the viewpoint of complexity theory, system complexity can exist in two forms: static and dynamic. Therefore, considering the breadth of issues related to each of these two complexity areas, just the static complexity of construction projects has been studied here.


Simin Dargahi Darabad, Maryam Izadbakhsh, Seyed Farid Ghannadpour, Siamak Noori, Mohammad Mahdavi Mazdeh,
Volume 35, Issue 1 (3-2024)
Abstract

The construction supply chain is presently the focus of considerable interest among numerous project-related businesses. Strong project management is essential for the effective completion of a project, since restricted budgets and time constraints are considered for each project. The research uses multi-objective linear programming to create a mathematical model of the building supply chain. The primary aims of the present investigation are to limit the expenses associated with logistics and to diminish the release of greenhouse gases caused by transportation. Given the reality of managing several projects concurrently, the model provided comprises a network of projects. Following the completion of each project, an inspection is arranged to assess its level of success. Estimating the costs of a project relies on several variables. In reality, there are always uncertainties highlighted in several studies about the uncertainty of cost and time parameters. This research incorporates many characteristics concurrently to simulate real-world settings and address the issue of uncertainty. The expression of uncertainty for all costs, activity length, inspection, supplier capacity, and resource demand are represented by triangular fuzzy numbers. Ultimately, the precision of the model's performance has been verified using a numerical illustration.

Halim Dwi Putra, Iphov Kumala Sriwana , Husni Amani ,
Volume 35, Issue 1 (3-2024)
Abstract

The construction industry is one of the high-demand industries related to business and projects. Robust materials management that is subject to inventory management is the highest factor to enhance the Supply chain management (SCM) performance that will indicate the project's success within the complexity of the project. This research aims to measure the performance of Supply Chain Management at PT Cahaya Amal Taqwa as a new housing developer who focuses on subsidized housing that faces a project delay because they have less data documentation and analysis from previous projects. The issue is most newcomer construction projects never analyze and measure their supply chain management (SCM) which leads them to confusion about the project improvement. The research uses the Supply Chain Operational Reference (SCOR) method to know how much inventory management impacts supply chain management performance and how it overcomes the issues.   Most studies only measure the SCM performance and show which aspects need to be developed without any scheme of solution offered. This research presents the scheme of improvement for the inventory model and provides forecasting for the whole SCM performance after the implementation of a new model of inventory management. The findings confirm that inventory management significantly impacts the whole supply chain management performance in the construction industry. The development of a solution system brought comprehensive results by classifying KPIs for inventory management and an interdependence network was created to define the new model of inventory system for the solution. This research proves that improving an aspect will impact significantly the whole SCM performance instead of improving KPIs one by one.



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