Identification of factors affecting productivity in Thailand’s construction industry and proposed maturity model for improvement of the productivity

2019 ◽  
Vol 17 (5) ◽  
pp. 849-861
Author(s):  
Patraporn Pornthepkasemsant ◽  
Santi Charoenpornpattana
Keyword(s):  
Construction Industry ◽  
Equipment Management ◽  
Maturity Model ◽  
Material Management ◽  
Productivity Improvement ◽  
Content Type ◽  
Factors Affecting ◽  
Construction Companies ◽  
Five Factors ◽  
Questionnaire Surveys

Purpose Low productivity is one of the main challenges facing the Thai construction industry. The purpose of this study is to identify factors affecting the productivity of Thailand’s construction industry and to develop a maturity model for improvement of the productivity. Design/methodology/approach Data were collected quantitatively through questionnaire surveys targeting different Thai construction companies to identify factors affecting the productivity in the Thai construction industry. Based on the identified factors and opinions of experts, a maturity model was then developed and validated. Findings The top five factors affecting the productivity are labor skills, material management, equipment management, site management and safety. A maturity model for the productivity improvement has been developed, and its performance is satisfactory. Research limitations/implications The productivity maturity model is based on data collected in Thailand, and the model is valid only in Thailand or other countries which have similar social and economic circumstance. Practical implications Construction companies may use the proposed maturity model as a framework for improving their productivity. Originality/value Unlike other studies, which usually rely on an issue-based approach, this study uses a systematic company-wide approach to improve the productivity.

Building information modelling (BIM) and the return on investment: a systematic analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Apeesada Sompolgrunk ◽  
Saeed Banihashemi ◽  
Saeed Reza Mohandes
Keyword(s):  
Construction Industry ◽  
Return On Investment ◽  
Research Work ◽  
Value Drivers ◽  
Productivity Improvement ◽  
Building Information Modelling ◽  
Content Type ◽  
Factors Affecting ◽  
Information Modelling ◽  
Building Information

Purpose The purpose of this study is to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with building information modelling (BIM) return on investment (ROI). The findings of this study provide researchers and practitioners with up-to-date information in formulating appropriate strategies to quantify the monetary value of BIM. The suggested research agenda provided would also advance what is presently a limited body of knowledge relating to the evaluation of BIM ROI. Design/methodology/approach To fill the identified gap, this study develops a comprehensive systematic review of mainstream studies on factors affecting BIM ROI published from 2000 to 2020. A total of 23 academic records from different sources such as journals, conference proceedings, dissertation and PhD theses were identified and thoroughly reviewed. Findings The reported BIM ROI ranged greatly from −83.3% to 39,900%. A total of 5 returning factors, namely, schedule reduction and compliance, productivity improvement, request for information reduction, rework reduction and change orders reduction were identified as the most commonly reported factors that influence BIM ROI. Four quantification techniques including general assumptions-based theoretical model, perceived BIM ROI based on survey, factors affecting BIM ROI with no reported ROI and quantified BIM ROI based on a case study were observed and pointed out in the review, together with their limitations. Finally, three major gaps were raised as the lack of consideration on the likelihood of BIM assisting in a construction project, intangible returning factors influencing BIM-based projects and industry standards in benchmarking BIM ROI. Practical implications The outcomes of this study would assist practitioners by providing the current evaluation techniques that address the limitations with BIM investment and present issues relating to the economic evaluation of BIM in the construction industry. It is also expected that presenting a deeper and wider perspective of the research work performed until now will direct a more focussed approach on productivity improvement efforts in the construction industry. Originality/value This study identifies and analyses the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI on an industry scale rather than a particular organisation or a project scale.

scholarly journals Assessing off-site readiness in construction organisations: cases from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepthi Bendi ◽  
Muhammad Qasim Rana ◽  
Mohammed Arif ◽  
Steve Michael Lamb ◽  
Anil Sawhney ◽  
...  
Keyword(s):  
Case Studies ◽  
Construction Industry ◽  
Future Research ◽  
Maturity Model ◽  
Construction Sector ◽  
Case Study Methodology ◽  
Content Type ◽  
Factors Affecting ◽  
Critical Issues ◽  
Readiness To Adopt

Purpose This paper aims to present factors affecting the Indian construction organisations in adopting off-site construction (OSC) methods. Design/methodology/approach An existing readiness maturity model has been used to assess three large organisations in different parts of India. A case study methodology has been adopted in this paper to highlight critical issues in OSC adoption in India. Findings This paper presents three case studies and concludes the Indian construction sectors readiness to adopt the OSC methods. Through the case studies, different issues related to the adoption of OSC have been identified and highlighted for the Indian construction sector. Although the three companies are large, there are several small- and medium-sized enterprises (SME) operating in India's construction sector, and future research shall be needed to review these SMEs. Research limitations/implications This research study is broadly focused on developing and assessing an OSC readiness framework for Indian construction organisations. The research scope and the population for data collection are limited to large construction organisations in India only. Practical implications The proposed OSC readiness maturity model guides construction practitioners in India through a structured process to assess their OSC readiness in the market. This assessment enables them to evaluate and benchmark their processes through the strategic and operational phases. This research will add to the existing knowledge of OSC in India by mapping issues relevant to India's construction industry. The research has provided background on the status of OSC, the drivers and barriers affecting the implementation of OSC techniques in the Indian construction industry. Originality/value Through the three case studies, several factors related to the implementation of OSC methods have been identified and highlighted within the Indian construction sector. Although the model has been applied to the Indian construction sector, it can easily be modified to fit into other areas and similar dynamics and business conditions.

Construction disability management maturity model: case study within the Manitoban construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rhoda Ansah Quaigrain ◽  
Mohamed Hassan Issa
Keyword(s):  
Injury Prevention ◽  
Construction Industry ◽  
Disability Management ◽  
Senior Management ◽  
Maturity Model ◽  
Management Support ◽  
Model Case ◽  
Current Form ◽  
Content Type ◽  
Construction Companies

PurposeA review of the literature revealed a lack of coherent frameworks for implementing disability management, particularly within the construction industry. This study involved developing the construction disability management maturity model (CDM3) to assess the maturity of disability management (DM) practices in construction organisations.Design/methodology/approachIn its current form, the model assessed twelve indicators using a series of questions representing relevant best practices for each indicator and five different maturity levels. An analytical hierarchical process was conducted using eight construction and DM experts to determine the weights of importance of these different indicators. The model was then applied to evaluate ten construction companies in Manitoba, Canada.FindingsThe results revealed that the indicators of “Return to Work”, “Disability and Injury Prevention”, and “Senior Management Support” practises were the most heavily weighted and, thus, the most important. Companies' DM performance was observed, on average, to be at the quantitatively managed level. “Senior Management Support” and “Disability Injury Prevention” practices were observed to be the most mature indicators on average, revealing a potential relationship between the most important and most mature indicators.Research limitations/implicationsThe sample size of companies evaluated is a key limitation in that it does not permit for the generalisation of the results.Practical implicationsThis study provided a framework for benchmarking the DM performance of construction organisations.Originality/valueNo similar maturity model has been developed to date to assess DM in construction, making the CDM3 the first of its kind to evaluate a construction organisation's existing DM practices against best practises.

An empirically verified project risk maturity model

2014 ◽  
Vol 7 (2) ◽  
pp. 263-284 ◽  
Author(s):  
Budi Hartono ◽  
Deo F.N. Wijaya ◽  
Hilya M. Arini
Keyword(s):  
Construction Industry ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Face Validity ◽  
Maturity Model ◽  
Maturity Level ◽  
Cross Sectional Survey ◽  
Project Risk ◽  
Content Type ◽  
Risk Maturity

Purpose – The purpose of this paper is to develop and to empirically verify a model of project risk management maturity (PRMM). Design/methodology/approach – Theoretical work to develop the initial model of risk maturity. Empirical study by a cross-sectional survey to the Indonesian construction industry. Findings – A new model of PRMM is developed and empirically tested. The model is valid (face validity, content validity, discriminant validity, convergent validity, and criterion validity) and reliable. Research limitations/implications – A more comprehensive, follow-up study is required to gain more insights on the actual maturity level of Indonesian construction industry. Practical implications – The model is applicable to assess the organizational maturity level which in turn could be used for improving organization performance. Originality/value – The work demonstrates a novel approach in developing models by emphasizing on the empirical verification.

scholarly journals Examining the implementation of ISO 9001 in Indonesian construction companies

2015 ◽  
Vol 27 (1) ◽  
pp. 94-107 ◽  
Author(s):  
Debby Willar ◽  
Vaughan Coffey ◽  
Bambang Trigunarsyah
Keyword(s):  
Quality Management ◽  
Construction Industry ◽  
Current Practice ◽  
Iso 9001 ◽  
Quality Management Systems ◽  
Content Type ◽  
Construction Companies ◽  
Main Motive ◽  
Research Findings ◽  
Management Attitude

Purpose – The purpose of this paper is to examine the implementation of quality management systems (QMSs) of Grade 7 (G-7) Indonesian construction companies. This includes the initial motives that have driven the development of QMSs, barriers to effective QMS implementation, the current practice and integration of QMS-ISO 9001 principles and elements, and the performance of contractors implementing such QMSs. Design/methodology/approach – A survey was conducted involving 403 respondents (Quality Management Representatives, Managers, and Project and Site Engineers) from 77 G-7 as well as ISO 9001 certified Indonesian construction companies. Findings – The main motive for G-7 contractors in establishing and implementing ISO 9001 based QMSs are identified as being to effectively and efficiently control project activities. Respondents apparently do not often experience problems related to QMS implementation. However, issues of management attitude and purpose are identified as barriers that may affect effective QMS implementation. The study highlights the ISO 9001 principles and elements that still require to be more critically applied by G-7 contractors in order to fully implement and improve their current QMS effectiveness. The findings also suggest that, although certified, many G-7 contractors have not yet achieved a satisfactory level of performance to be truly competitive in global markets outside Indonesia. Originality/value – To date, only limited research has been conducted into the application of ISO 9001 in the Indonesian construction industry. The research findings reinforced the value of pursuing more effective QMS implementation. They also support current attempts to introduce ISO 9001 QMSs to a much wider base of Indonesian construction companies, particularly small and medium sized contractors and builders.

Operational process stages of brand alliances

2015 ◽  
Vol 27 (4) ◽  
pp. 389-408
Author(s):  
Chung-Ju Tsai ◽  
Tzong-Ru (Jiun-Shen) Lee ◽  
Szu-Wei Yen ◽  
Per Hilletofth
Keyword(s):  
Construction Industry ◽  
Brand Alliances ◽  
Content Type ◽  
Operational Process ◽  
Construction Companies ◽  
Reinforcing Bar ◽  
Brand Alliance ◽  
Interview Survey ◽  
Alliance Partners ◽  
Development And Management

Purpose – The purpose of this research is to investigate how companies in the reinforcing bar industry and the construction industry operate and implement brand alliances. Design/methodology/approach – This research uses a qualitative interview survey and the grounded theory method to extract key factors of brand alliance development and management in the targeted industries. The interview survey included six managers from different construction companies in Taiwan. Findings – This research identifies four common firm-level operational process stages (core categories) of brand alliances including different multidimensional factors, and proposes a conceptual model based on these identified core process stages. The four common core process stages include selection of brand alliance partners, communication with brand alliance partners, enforcement of brand alliances and assessment of brand alliances. Originality/value – The proposed model offers a tentative explanation of the development and management of brand alliances between the reinforcing bar industry and the construction industry. This study represents an initial research attempt in this field and explains how reinforcing bar and construction companies operate and implement brand alliances.

Developing a predictive model of construction industry-university research collaboration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Monty Sutrisna ◽  
Dewi Tjia ◽  
Peng Wu
Keyword(s):  
Data Collection ◽  
Predictive Model ◽  
Construction Industry ◽  
Research Collaboration ◽  
Ann Model ◽  
Data Set ◽  
Content Type ◽  
Construction Companies ◽  
Likelihood Model ◽  
Artificial Neural Network Ann

Purpose This paper aims to identify and examine the factors that influence construction industry-university (IU) collaboration and develop the likelihood model of a potential industry partner within the construction industry to collaborate with universities. Design/methodology/approach Mix method data collection including questionnaire survey and focus groups were used for data collection. The collected data were analysed using descriptive and inferential statistical methods to identify and examine factors. These findings were then used to develop the likelihood predictive model of IU collaboration. A well-known artificial neural network (ANN) model, was trained and cross-validated to develop the predictive model. Findings The study identified company size (number of employees and approximate annual turnover), the length of experience in the construction industry, previous IU collaboration, the importance of innovation and motivation of innovation for short term showed statistically significant influence on the likelihood of collaboration. The study also revealed there was an increase in interest amongst companies to engage the university in collaborative research. The ANN model successfully predicted the likelihood of a potential construction partner to collaborate with universities at the accuracy of 85.5%, which was considered as a reasonably good model. Originality/value The study investigated the nature of collaboration and the factors that can have an impact on the potential IU collaborations and based on that, introduced the implementation of machine learning approach to examine the likelihood of IU collaboration. While the developed model was derived from analysing data set from Western Australian construction industry, the methodology proposed here can be used as the basis of predictive developing models for construction industry elsewhere to help universities in assessing the likelihood for collaborating and partnering with the targeted construction companies.

Roles of Contractors in Implementing Quality Assessment System in Construction (QLASSIC) in Construction Projects

2021 ◽  
Vol 15 (S1) ◽  
pp. 53-69
Author(s):  
Mohd Shazreen Seman ◽  
Mohd Reza Esa ◽  
Mohd Reeza Yusof
Keyword(s):  
Quality Assessment ◽  
Construction Industry ◽  
Construction Projects ◽  
Poor Quality ◽  
Technical Committee ◽  
Assessment System ◽  
Construction Companies ◽  
Industry Standard ◽  
The Government ◽  
Questionnaire Surveys

In recent decades, the construction industry has been widely criticized for its lack of efficiency and productivity, and it has been shown that the Malaysian construction industry records poor quality on its projects. To overcome this issue, the Technical Committee on Quality Assessment in Construction with the support of the Construction Industry Development Board (CIDB) has introduced Quality Assessment System in Construction (QLASSIC). QLASSIC is a scoring system that is used to assess and evaluate the performance of construction buildings. It is based on the Construction Industry Standard (CIS 7:2006). Unfortunately, this assessment system had poor implementation since its introduction in November 2006. QLASSIC was not extensively implemented and was taken lightly by the contractors and developers in Malaysia. There are still a huge number of contractors that are not aware of QLASSIC even the big construction companies. Thus, this research is aimed at investigating the contractor’s perspective towards the implementation of QLASSIC in the construction industry in Malaysia. Three objectives are developed to achieve the aim: (1) identification of the needs to implement QLASSIC; (2) investigation of issues and challenges to implement QLASSIC and (3) recommendation of strategies to implement QLASSIC. Structured questionnaire surveys were distributed to the G7 and G6 contractors in the Klang Valley area; which may have or may not have experience in implementing QLASSIC in their projects. The result revealed that majority of the respondents were aware and understand the needs of QLASSIC implementation, but there were still few who were unfamiliar with the QLASSIC. The current level of implementation of QLASSIC in Malaysia is still not satisfactory due to several issues and challenges acting as barriers to its implementation. Therefore, the initiatives from the government are important to promote QLASSIC implementation in the construction industry. By doing this, the contractors would be aware of the implementation of QLASSIC in the construction industry. The significance of this research is that it will assist contractors and other construction players in comprehending the implications and importance of QLASSIC implementation.

A hybrid framework to model factors affecting construction labour productivity

2019 ◽  
Vol 24 (3) ◽  
pp. 630-654 ◽  
Author(s):  
Majid Parchami Jalal ◽  
Shahab Shoar
Keyword(s):  
Construction Industry ◽  
Labour Productivity ◽  
Content Type ◽  
Factors Affecting ◽  
Schedule Delay ◽  
Factors Influencing ◽  
Hybrid Framework ◽  
Novel Method ◽  
The Cost ◽  
The Impact

Purpose This paper aims to model different causal relations among factors interacting with labour productivity in order to recognize the most important factors influencing and influenced by it. Design/methodology/approach Top 60 factors affecting labour productivity were determined and grouped into 5 major groups by reviewing previous research and interviewing relevant experts. The interactions of factors were modelled using system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were then applied for identifying the most crucial factors influencing and influenced by labour productivity through the decision-making trial and evaluation laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian construction industry. Findings The results indicated that factors such as fatigue, lack of labour motivation and lack of skill are the most influencing, and factors such as schedule delay and inflation in the cost of execution are the most influenced by labour productivity. In the end, a set of recommendations to improve construction labour productivity was also presented. Originality/value The main contribution of the study is proposing a novel method which is capable of providing insights into how causes and effects of construction labour productivity are interrelated. Furthermore, the proposed method makes this study distinct from previous research in the light of prioritizing factors and offering recommendations according to the interrelationships among factors.

scholarly journals Systems thinking and CMM for continuous improvement in the construction industry

2019 ◽  
Vol 69 (2) ◽  
pp. 271-296 ◽  
Author(s):  
Temitope Seun Omotayo ◽  
Prince Boateng ◽  
Oluyomi Osobajo ◽  
Adekunle Oke ◽  
Loveline Ifeoma Obi
Keyword(s):  
Continuous Improvement ◽  
Financial Risk ◽  
System Thinking ◽  
Management Policy ◽  
Maturity Model ◽  
Structured Interviews ◽  
Content Type ◽  
Performance Culture ◽  
Construction Companies ◽  
Capability Maturity

Purpose The purpose of this paper is to present a capability maturity model (CMM) developed to implement continuous improvement in small and medium scale construction companies (SMSCC) in Nigeria. Design/methodology/approach A multi-strategy approach involving qualitative studies of SMSCC in Nigeria was conducted. Semi-structured interviews were conducted with purposively selected construction experts in Nigeria to identify variables essential for continuous improvement in SMSCC. Data collected were thematically analysed using NVIVO. Subsequently, a system thinking approach is employed to design and develop the CMM for implementing continuous improvement SMSCC, by exploring possible relationships between the variables established. Findings CMM provided a five-level approach for the inclusion of investigated variables such as team performance; culture; structure; post-project reviews, financial risk management, waste management policy and cost control. These variables are factors leading to continuous improvement in SMSCC, implementable within a six to seven and a half years’ timeline. Practical implications The system thinking model revealed cogent archetypes in the form of reinforcing loops that can be applied in developing the performance of SMSCC. Continuous improvement is feasible. However, it takes time to implement. Further longitudinal studies on the cost of implementing continuous improvement through CMM a knowledge transfer project can be initiated. Originality/value A methodical strategy for enhancing the effectiveness and operations of SMSCC in developing countries can be extracted from the causal loop diagram and the CMM.

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