The construction industry is changing constantly and becoming more complex. It requires new strategies for compliance with national and international scenarios. Developing each project is associated with many limitations, including time, cost, changes, wastes, and errors, which are often not avoidable. Due to numerous project stages and complexities in the construction industry, usually, different mistakes and duplications occur. Meanwhile, Building Information Modeling (BIM) has created one of the most important and essential changes in this industry and results in more in-depth cooperation among project stakeholders. BIM is one of the most recent innovations in the construction industry, which resolves the problems of projects faster. BIM can be applied by architects, engineers, contractors, project managers, etc. to achieve objectives such as reducing design errors, reducing time and cost, improving design and construction integration, and increasing coordination and cooperation among different sections. Given the significance of project success in every country and several problems in each project, using BIM is an appropriate solution, which its proper implementation requires understanding its benefits that is the main aim of this study. This research identifies and classifies these benefits through the Systematic Literature Review (SLR) method, describing the significance of using BIM in infrastructure projects.
health-related problems and even death among animals and human beings. Agriculture is the main food source; thus, many interventions are made such as that of irrigation by the local county and national government initiated through the National Irrigation Board (NIB). Despite the irrigation projects food insufficiency still persists, therefore their sustainability is questionable. One such approach to improving the sustainability of irrigation projects is participatory monitoring and evaluation which leads to ownership and then higher sustainability. In the study, the objective was to asses if taking corrective action after participatory monitoring and evaluation (PME) influence project sustainability. The study used a descriptive survey and correlation designs to collect data from 316 respondents selected using stratification sand purposeful with strict randomization. Questionnaires were administered and interviews were conducted on selected sample respondents on appointed dates. Data were analyzed using SPSS version 25.0 to get descriptive statistics, correlations coefficients were obtained to test association and degree of strength. Testing of the hypothesis was done using linear regression. The study findings were that a large number of respondents were between ages 31 to 40 years and most were female with their highest level of education being primary school. The influence of PME capacity building on the dependent variable and irrigation projects sustainability found that the farmers were not taken for exposure visits and project officers were not accountable for money use. Age, gender, and education level have very minimal influence on PME capacity building. PME capacity building had a weak positive influence of r = 0.290 and it explained only 8.4% of irrigation projects sustainability in Kitui County. The study recommends that to improve project capacity building: project revenue must be controlled on use, farmers must be taken for exposure visits to learn from successors, project officers should be accountable for funds use, and project guidelines should be improved to increase sustainability. Implementation of these recommendations will reduce the loss of Arid and Semi-Srid Lands (ASALs) and attain higher and longer sustainability in food projects, thus, reducing the recurrence rate of food shortage, improve and hasten the implementation of irrigation projects, show the need to involve primary stakeholders in project monitoring and appraisal for sustainability, better and efficient decisions by policymakers to increase chances of project’s success.
The construction project being studied is a government investment related to the relocation of a biomedical institute delivering research-based knowledge and contingency support in the fields of animal health, fish health and food safety. The project covers a total of 63,000 square meters distributed over 10 buildings with a very high degree of complexity. The design alone has required 1 million hours, which relates to a client cost of about 100 million Euro. The purpose of this paper is to study the applied methodology for managing the detailed design to identify lessons learned from the project. The theory underlying the study is inspired by lean design management and design theory linked to design as phenomena, including reciprocal interdependencies, iteration, decomposition, design as a “wicked problem”, learning, gradual maturation, etc. The article is based on an abductive research design and has been implemented as a case study where both qualitative and quantitative methods have been used.
Construction projects are much appreciated by both client and contractor when completed on schedule and within budget so as to avoid cost overruns. The Zambian building sector normally experiences time and cost overruns. This study investigated the feasibility of using tilt-up construction in the construction of commercial building walls. The methodology used consisted of a literature review, a questionnaire survey and a scenario analysis consisting of a hypothetical 4900 square meter commercial building with a height of 8 meters. Sixty-six questionnaires were administered to design professionals operating in the Zambian building sector using simple random sampling and thirty-six were returned giving a response rate of 55%. The data were analyzed using descriptive statistics. Cost analysis was done on a hypothetical building as no contractor was found using tilt-up construction in the construction sector. The study established that tilt-up was, in fact, more expensive than the conventional methods (concrete blocks and in-situ reinforced concrete walls), but it was faster, hence, making it viable in respect to time and not cost in the Zambian construction industry (ZCI). Additionally, necessary expertise was available with the exception of a certified tilt-up practitioner and a sealant sub-contractor in cases where a sealant contractor is needed. The study has identified that currently in the Zambian building sector tilt-up construction can be used when time is more important than the cost. However, challenges such as site size (limited space), the unavailability of building regulation for tilt-up construction and the economic capacity of the client or capacity need to be addressed for enhancing the practical application of tilt-up construction in ZCI.
This study tries to investigate project success through inclusive leadership role along with self-efficacy. Data sets were collected using adopted questionnaires of previous studies from employees working on the metro bus project, their supervisors and passengers of metro bus service from Rawalpindi to Islamabad route in Pakistan. This study is measuring the effects of inclusive leadership on project success through self-efficacy which makes it causal in nature. The time lag data collection method was adopted. In order to reach correct findings, potential biases were controlled by theoretical and statistical controls. Exploratory factor analysis was used to test structural modelling, average variance and composite reliabilities using Smart PLS. SPSS 21.0 was used for regression analysis, bias correction measures were also considered. The study revealed that inclusive leadership is associated in a positive manner with project success. The mediating role of self-efficacy in the relationship of inclusive leadership and project success was also supported. In addition, theoretical and practical implications in the context of this study are discussed in detail.
Integrated Project Delivery (IPD) is introduced as a new delivery system that fosters high efficiency by delivering accurate information and new technologies in a collaborative team environment. In this sense, the research aimed to review the IPD principles and their main categories, such as contract, process, information & modeling (I&M), team and communication as well as perform a qualitative analysis to illustrate the current research trends. The qualitative analysis performed was made through a series of collected articles from 2001 to 2018 in 08 different scientific database websites. In terms of the results, the contract category illustrated a strong trend, where the studies are focus on collaborations and frameworks to enhance high efficiency in construction. In the I&M category, demonstrated an increasing trend applying the Building Information & Modeling (BIM) subject as well as team category, where showed the importance of a wellstructured team and their impact on the project., The process and communication categories illustrated a weak trend, allowing opportunities in the field. Finally, the current study reviewed and analyzed the IPD and its main categories allowing a solid basis for future research.
Voice recognition technology has been in existence over several decades but its application in the construction industry has been minimal. Despite the several advantages it offers, its application has been limited to smart building integration only. This study has made a significant contribution by integrating voice recognition technology into key-in building quantities estimation software. The Visual Basic programming language was used to design and code the interface of the voice recognition system and key-in estimating software model. The prototype model continues to have some challenges because it cannot work efficiently in a noisy work environment and there is limited range of vocabulary it can recognize. This paper seeks to challenge the stakeholders of the construction industry to maximize the benefits of voice recognition technology and integrate it into other construction tasks. In addition, future research can consider integrating building information modeling and voice recognition technology.
Persona is a common human-computer interaction technique for increasing stakeholders’ understanding of audiences, customers, or users. Applied in many domains, such as e-commerce, health, marketing, software development, and system design, personas have remained relatively unchanged for several decades. However, with the increasing popularity of digital user data and data science algorithms, there are new opportunities to progressively shift personas from general representations of user segments to precise interactive tools for decision-making. In this vision, the persona profile functions as an interface to a fully functional analytics system. With this research, we conceptually investigate how data-driven personas can be leveraged as analytics tools for understanding users. We present a conceptual framework consisting of (a) persona benefits, (b) analytics benefits, and (c) decision-making outcomes. We apply this framework for an analysis of digital marketing use cases to demonstrate how data-driven personas can be leveraged in practical situations. We then present a functional overview of an actual data-driven persona system that relies on the concept of data aggregation in which the fundamental question defines the unit of analysis for decision-making. The system provides several functionalities for stakeholders within organizations to address this question.