Digital technology utilisation decisions for facilitating the implementation of Industry 4.0 technologies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar
Keyword(s):  
Decision Making ◽  
Technology Adoption ◽  
Construction Industry ◽  
Industry 4.0 ◽  
Active Role ◽  
Final Decision ◽  
Content Type ◽  
Adoption Decision ◽  
Construction Companies ◽  
Multi Stage

Purpose Emerging Construction Industry 4.0 technologies raise serious questions for construction companies when deciding whether to adopt or reject emerging technologies. Vendors seek to understand what factors are involved in how construction companies make these decisions and how they might vary across different companies. This paper aims to present a systematic, technology adoption decision-making framework for the construction industry which includes the key steps required for the final decision being made by companies up to the commencement of the operation of the technology. Design/methodology/approach A total of 123 experienced practitioners were interviewed to identify a broad range of tasks relevant to decision-making. Participants known as customers or vendors were chosen to validate the findings of each group by using data triangulation methods. A systematic thematic analysis method was applied in the NVivo environment to analyse the data. Findings This study identifies the active role of vendors who need to understand how their customers arrive at decisions to increase the rate of technology adoption. This paper also provides insights to new companies and late adopters (reported greater than 50%) about how others arrived at their decisions. Originality/value Unlike other technology adoption models, this paper investigates vendors’ corresponding interactions during the decision-making process. This paper also goes beyond previous studies, which focussed on the individual customer’s intention to use a specific technology at a single-stage by developing a multi-stage framework to enable understanding the details of the decision process at the organisational level.

scholarly journals Investigating major challenges for industry 4.0 adoption among construction companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sevilay Demirkesen ◽  
Algan Tezel
Keyword(s):  
Construction Industry ◽  
Industry 4.0 ◽  
Construction Projects ◽  
Resistance To Change ◽  
Maximum Level ◽  
Information Modeling ◽  
Content Type ◽  
Construction Firms ◽  
Construction Companies ◽  
Construction Organizations

PurposeThe purpose of this study is to explore the challenges hindering the adoption of Industry 4.0 (I4.0) among construction companies.Design/methodology/approachThe construction industry needs innovative technologies due to its complex and dynamic nature. In this respect, the latest trends such as digitalization, building information modeling (BIM), Internet of things (IoT) are of utmost importance in terms of fostering the change in managing projects and encouraging industry practitioners to adopt the change for better performance. This paper focuses on I4.0adoption among construction companies. In this respect, a questionnaire was designed and administered to construction professionals to reveal the challenges in I4.0 adoption among construction firms. The respondents were requested to fill in the questionnaire on the I4.0 efforts of their companies. The questionnaire was intended to collect the perceptions of industry practitioners working at large construction companies. Based on these, the challenges listed were ranked based on their relative importance and success indices. Finally, the Mann–Whitney U test was conducted to test whether statistically significant responses exist among groups of respondents (i.e. young and old companies, large and small, high and low revenue and main area of expertise).FindingsThe results of the study indicated that resistance to change, unclear benefits and gains and cost of implementation are the major important challenges in terms of I4.0 adoption in construction projects. On the other hand, the data analysis implied that the majority of construction organizations successfully deal with the problems arising from lack of standardization, legal and contractual issues and cost of implementing in terms of promoting I4.0 adoption.Research limitations/implicationsThe study is expected to guide construction practitioners in terms of benefitting from I4.0 applications and deliver projects with better outcomes. This study might be used as a guide for the companies aiming to start their I4.0 transformation knowing the challenges and develop strategies for how to handle them. A concrete plan would help them achieve greater performance and benefit from the I4.0 implementation at the maximum level. Finally, the study implies that construction firms shall prepare action plans for handling each challenge listed and monitor their performance based on the planned and actual data of their projects.Originality/valueThis study investigates the major challenges of I4.0 among construction companies. This is one of the important studies, which puts I4.0 focus forefront of the construction industry with a clear identification of challenges that construction organizations have to address to transform their organizations into construction 4.0. The study has the potential to guide both industry practitioners and researchers to develop awareness for the benefits of using the latest technology and fostering innovation. This is expected to create value for construction clients in terms of achieving the product with serious gains such as time and cost.

Critical factors influencing the bid/no bid decision in the Australian construction industry

2016 ◽  
Vol 16 (2) ◽  
pp. 127-157 ◽  
Author(s):  
Morteza Shokri-Ghasabeh ◽  
Nicholas Chileshe
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Construction Industry ◽  
Research Study ◽  
Critical Factors ◽  
Financial Capability ◽  
Project Risk ◽  
Content Type ◽  
Construction Companies ◽  
Factors Influencing

Purpose The purpose of this study is to investigate and rank the critical factors influencing the bid/no bid criteria and their importance in the Australian construction industry. Design/methodology/approach The research study has been undertaken by conducting an extensive literature review on bid/no bid decision-making criteria. As a result, the researchers identified 26 most common bid/no bid decision-making criteria that are accordingly grouped into five distinct categories, namely, “project”, “market”,“contractor”, “client” and “contract”. The literature review was followed by a national survey that was designed and utilised by the researchers to collect data for this purpose. The survey was sent to potential 450 Australian construction companies in various locations and responses were received from 81 Australian construction companies. Response data were subjected to descriptive and inferential statistics. Kruskal Wallis one-way analysis of variance (ANOVA) was applied to detect significant differences between the mean score grouped according to the organisation size (contract value). Findings The descriptive and empirical analysis demonstrated a disparity of ranking of the 26 bid/no bid criteria factors among the groups; however no statistically significant differences among the 26 bid/no criteria factors despite the absolute differences in the rankings and mean scores in the following four factors: (1) “bidding condition”, (2) “strength/weaknesses”, (3) “contract payment terms” and (4) “number of competitors/bidders”. Based on the overall sample, the highly ranked four factors were “client financial capability”, “project risk”, “project future benefits and profitability” and “number of competitors/bidders”. The following were the least ranked: “contractors’ financial situation”, “project duration” and “contractors’ material availability”. “Client financial capability”and “project risk” were jointly ranked as the most important by large, whereas “client financial capability” was also rated highly for smaller Australian construction contractors (ACCs). The medium ACCs had “project risk”as highly ranked. Research limitations The majority of the participants were small construction contractors in Australia. The reason is that the researchers were not aware of the contractors’ size prior to inviting them for participation in the research study. Second, the findings may not generalise to other industries or to organisations operating in other countries. Practical implications The identified “bid/no bid criteria” increase the awareness of existing decision-making practices and play a critical role in the future decisions of the construction companies, where decision makers need to evaluate the next opportunities encountered. Furthermore, knowledge and possession of these identified “bid/no bid” criteria would enable contractors to select a project with a higher probability of success in the future, which will accordingly result in long-term financial benefits and higher performance. Finally, the awareness of these factors could contribute to changing the contractor’s behaviours when bidding in a competitive environment or market conditions. Originality/value The study contributes to the body of knowledge on tendering and bidding practices among contractors in Australia, an area previously under explored. Second, this study provides some insights on the factors influencing the bid/no bid decisions among the ACCs.

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.

Assessing ventilation strategies in a school with observed indoor air problems

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ulrika Uotila ◽  
Arto Saari ◽  
Juha-Matti Kalevi Junnonen ◽  
Lari Eskola
Keyword(s):  
Decision Making ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Final Decision ◽  
Target Number ◽  
Content Type ◽  
Existing Building ◽  
Ventilation Strategies

Purpose Poor indoor air quality in schools is a worldwide challenge that poses health risks to pupils and teachers. A possible response to this problem is to modify ventilation. Therefore, the purpose of this paper is to pilot a process of generating alternatives for ventilation redesign, in an early project phase, for a school to be refurbished. Here, severe problems in indoor air quality have been found in the school. Design/methodology/approach Ventilation redesign is investigated in a case study of a school, in which four alternative ventilation strategies are generated and evaluated. The analysis is mainly based on the data gathered from project meetings, site visits and the documents provided by ventilation and condition assessment consultants. Findings Four potential strategies to redesign ventilation in the case school are provided for decision-making in refurbishment in the early project phase. Moreover, the research presents several features to be considered when planning the ventilation strategy of an existing school, including the risk of alterations in air pressure through structures; the target number of pupils in classrooms; implementing and operating costs; and the size of the space that ventilation equipment requires. Research limitations/implications As this study focusses on the early project phase, it provides viewpoints to assist decision-making, but the final decision requires still more accurate calculations and simulations. Originality/value This study demonstrates the decision-making process of ventilation redesign of a school with indoor air problems and provides a set of features to be considered. Hence, it may be beneficial for building owners and municipal authorities who are engaged in planning a refurbishment of an existing building.

Modelling the adoption of sustainable procurement in construction organisations

2018 ◽  
Vol 8 (5) ◽  
pp. 461-476 ◽  
Author(s):  
Kwaku Agbesi ◽  
Frank D. Fugar ◽  
Theophilus Adjei-Kumi
Keyword(s):  
Decision Process ◽  
Structural Equation ◽  
Adoption Process ◽  
Adoption Studies ◽  
Content Type ◽  
Adoption Decision ◽  
Sustainable Procurement ◽  
Top Managers ◽  
Multi Stage ◽  
Adoption Model

Purpose The adoption of sustainable procurement in construction clients’ organisation remains a difficult concept. Current research of sustainable procurement adoption studies fails to focus on a multi-stage adoption process. The purpose of this paper is to develop an organisational adoption model in a multi-stage process for the adoption of sustainable procurement in construction. Design/methodology/approach The paper developed an organisational adoption model. The model was tested against data obtained from survey administered to 193 respondents of central and local government institutions with a response rate of 63.7 per cent. Structural equation modelling using the partial least squares was employed to determine and confirm the factor structure of the model, and to measure the relationships between the model constructs. Findings An organisational adoption model is developed, tested and is robust to aid the adoption decision process of sustainable procurement within construction organisations. Research limitations/implications The study is limited in scope affecting generalisation of the results. Future study should expand the scope to include consultants, contractors and suppliers. Practical implications The adoption model will assist policy makers and top managers to understand the adoption decision process and prioritise on the technological, organisational and environmental factors that significantly affect sustainable adoption decision process within construction organisations. Originality/value This study appears to be among the first to empirically develop an organisational adoption model to aid the adoption of sustainable procurement in construction.

Ranking the strategies for Indian medical tourism sector through the integration of SWOT analysis and TOPSIS method

2017 ◽  
Vol 30 (8) ◽  
pp. 668-679 ◽  
Author(s):  
Puneeta Ajmera
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Medical Tourism ◽  
Developed Countries ◽  
Individual Factors ◽  
Final Decision ◽  
Decision Matrix ◽  
Content Type ◽  
Indian Medical ◽  
Multiple Attribute

Purpose Organizations have to evaluate their internal and external environments in this highly competitive world. Strengths, weaknesses, opportunities and threats (SWOT) analysis is a very useful technique which analyzes the strengths, weaknesses, opportunities and threats of an organization for taking strategic decisions and it also provides a foundation for the formulation of strategies. But the drawback of SWOT analysis is that it does not quantify the importance of individual factors affecting the organization and the individual factors are described in brief without weighing them. Because of this reason, SWOT analysis can be integrated with any multiple attribute decision-making (MADM) technique like the technique for order preference by similarity to ideal solution (TOPSIS), analytical hierarchy process, etc., to evaluate the best alternative among the available strategic alternatives. The paper aims to discuss these issues. Design/methodology/approach In this study, SWOT analysis is integrated with a multicriteria decision-making technique called TOPSIS to rank different strategies for Indian medical tourism in order of priority. Findings SO strategy (providing best facilitation and care to the medical tourists at par to developed countries) is the best strategy which matches with the four elements of S, W, O and T of SWOT matrix and 35 strategic indicators. Practical implications This paper proposes a solution based on a combined SWOT analysis and TOPSIS approach to help the organizations to evaluate and select strategies. Originality/value Creating a new technology or administering a new strategy always has some degree of resistance by employees. To minimize resistance, the author has used TOPSIS as it involves group thinking, requiring every manager of the organization to analyze and evaluate different alternatives and average measure of each parameter in final decision matrix.

A decision-making formula for value engineering applications in the Sri Lankan construction industry

2017 ◽  
Vol 22 (1) ◽  
pp. 77-91 ◽  
Author(s):  
Gayani Karunasena ◽  
Kosala Rajagalgoda Gamage
Keyword(s):  
Decision Making ◽  
Construction Industry ◽  
Cognitive Mapping ◽  
Value Engineering ◽  
Sri Lankan ◽  
Structured Interviews ◽  
Content Type ◽  
Regulatory Bodies ◽  
Research Outcome ◽  
Analyse Data

Purpose The construction industry in many developing countries is reluctant to apply value engineering (VE) due to uncertainty of outcomes. The purpose of this paper is to examine the existing practices of VE techniques and make recommendations to organisations and national construction regulatory bodies, to standardise VE practices. A decision-making formula is introduced to determine profitability of VE applications prior to implementation. Design/methodology/approach A broad literature review and six case study projects that applied VE were selected. Thirty-nine semi-structured interviews were conducted to gather data within cases. Six expert interviews were conducted as confirmatory interviews to clarify and validate research outcome. Content analysis and cognitive mapping were used to analyse data among case studies. Findings Application, knowledge and experience on VE techniques among construction professionals are unsatisfactory. Recommendations include reducing contractor’s design responsibility, introducing proper VE guidelines and statutory regulations. A framework is introduced to assist authorities to standardise application of VE techniques. A decision-making formula is suggested to determine margins of contractor’s portion due to VE techniques and original profits gained. Originality/value The formula can be used as a decision-making tool by construction industry practitioners to determine successfulness of proposed VE techniques, and the proposed framework can be used to guide construction professional bodies to standardise VE practices.

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.

Webrooming and showrooming: a multi-stage consumer decision process

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Srabanti Mukherjee ◽  
Swagato Chatterjee
Keyword(s):  
Decision Making ◽  
Information Search ◽  
Structural Equation ◽  
Product Type ◽  
Equation Modeling ◽  
Purchase Decision ◽  
Decision Making Process ◽  
Content Type ◽  
Channel Choice ◽  
Multi Stage

PurposeThe purpose of this research is to propose and validate a theoretical framework explaining web-rooming and showrooming as a multi-stage decision-making process. The authors have used consumer purchase decision-making theories to propose a model that identifies showrooming and webrooming as a combination of two decisions, channel choice during information search and channel choice during actual purchase. Further, the authors explored how various antecedents of showrooming and webrooming have differential effects on various stages of a purchase decision-making process and how product type moderates the relationships.Design/methodology/approachThe authors have conducted empirical research, whereby 243 responses were obtained from a cross-sectional survey. The authors have used structural equation modeling and multiple regression analysis to validate our theoretical model.FindingsWebrooming or showrooming is a multi-stage decision-making process for the consumers. First, consumers decide whether to search online or offline and then whether to buy online and offline. Different individual, purchase context-related and channel related factors impact these decisions. Product type governs which variables will be more important than others.Originality/valueThe research looks to enhance the understanding of the consumer's decision-making process during showrooming and webrooming while also helping retailers design and implement appropriate strategies that could affect consumers during information search and actual purchase.

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