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The study aims to understand the influence of supplier development (SD) activities on supplier satisfaction through the lens of social capital theory (SCT) and to understand the mediating role of the buyer–supplier relationship (BSR) in improving supplier satisfaction (SS).

The research is based on survey of 110 key informants belonging to 50 medium to small supplier companies in the Indian automotive sector. We employed the PLS variance-based modelling technique for the data analysis.

The investigation resulted in a comprehensive framework for SD activities influencing SS. Further findings recognize a positive influence of SD activities such as payment terms and BSR, which are components of structural social capital on the SS. SD activities such as quality management and delivery, which are indicators of relational capital, affect SS through the mediation of BSR.

The study confirms the role of BSR in SS. The deliberations can help the managers of buyer and supplier firms and researchers to classify and strategize SD activities to improve performance and BSR to become preferred customers through SS.

Mobile computing enables mobile devices to boost restricted resources, and this further includes processing, storage space and battery freedom with the help of cloud facilities. Cloud computing (CC) enables users to obtain admission to energy from another location, providing movement, and enabling common data admission. This chapter is tailored towards responding to a variety of the main challenges of the construction industry with the help of utilising mobile cloud solutions and services. The main benefits of embracing CC largely centred on resources which are expressed in cost reduction, system mobility, system flexibility and system maintenance, while the threats are information protection, individual accessibility, governing conformity, data location, accessibility and also disaster recuperation. This chapter provided necessary solutions to the main threats in the construction industry in terms of design, materials, finance, management and knowledge with the application of mobile cloud computing.

This study aims to review the current trends in early contractor involvement (ECI) in construction project development. The review consist of the following objectives: (1) identifying the benefits of ECI on construction project development; (2) identifying the challenges of ECI in construction project development; and (3) identifying the strategies of ECI in construction project development.

This study systematically reviews the literature on the application of ECI in construction project development. A total of 133 related articles were identified and analyzed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method.

This review identified “improved team work/collaboration working relationship” as the top benefits of ECI in construction project development. “Cultural barrier” was identified as the top challenge of ECI in construction project development, while “contributing value engineering” and “buildability evaluation input”, were the top two strategies of ECI in construction project development.

To the best of the authors’ knowledge, this study is the first to systematically review prior literature on ECI. As a result, the study provides a comprehensive understanding of the current state of the art and fills the literature gap. Researchers and industry professionals can use the study findings to increase the rate and benefits of implementing ECI in construction projects.

The study aims to investigate the nomenclature of structural versus non-structural building adaptation measures taken by occupants of residential properties located in flood-prone areas of Port Harcourt, Nigeria, to verify whether they are adapted or maladapted relative to their level of flood exposure and underscore the role of disaster resilience in property management.

Using the survey research strategy, the uptake of structural and non-structural adaptation measures in spatially distributed areas of Port Harcourt was descriptively analyzed and tested to identify significant variation in the uptake of adaptation measures relative to increasing flooding levels, using a one-way ANOVA.

The study outcome reveals that there are some distinctive features of buildings in Port Harcourt which provide wet-proofing structural adaptation qualities while dry-proofing structural adaptation measures are not adequate. However, although some key structural adaptation measures were adapted relative to the levels of flood exposure, most structural features of the buildings do not vary relative to flooding levels, indicating maladaptation even with increasing flood risk. The uptake of non-structural measures is also inadequate and maladapted relative to changes in the level of flood exposure, despite their non-intrusive and low-cost nature. Overall, the findings imply that maladaptation is more prevalent.

The study provides a descriptive snapshot of the nomenclature of property-level flood risk adaptation in residential buildings, while highlighting the maladaptive tendencies/behavior of property occupants, within a metropolitan setting in the developing world, necessary to inform policy and provide sensitization for fostering disaster resilience in property management.

The crane plays an essential role in modern construction sites as it supports numerous operations and activities on-site. Additionally, the crane produces a big amount of data that, if analyzed, could significantly affect productivity, progress monitoring and decision-making in construction projects. This paper aims to show the usability of crane data in tracking the progress of activities on-site.

This paper presents a pattern-based recognition method to detect concrete pouring activities on any concrete-based construction sites. A case study is presented to assess the methodology with a real-life example.

The analysis of the data helped build a theoretical pattern for concrete pouring activities and detect the different phases and progress of these activities. Accordingly, the data become useable to track progress and identify problems in concrete pouring activities.

The paper presents an example for construction practitioners and researcher about a practical and easy way to analyze the big data that comes from cranes and how it is used in tracking projects' progress. The current study focuses only on concrete pouring activities; future studies can include other types of activities and can utilize the data with other building methods to improve construction productivity.

The proposed approach is supposed to be simultaneously efficient in terms of concrete pouring detection as well as cost-effective. Construction practitioners could track concrete activities using an already-embedded monitoring device.

While several studies in the literature targeted the optimization of crane operations and of mitigating hazards through automation and sensing, the opportunity of using cranes as progress trackers is yet to be fully exploited.

Cost overrun is a significant issue in construction, an undesirable feature the industry has long been associated with. Poor procurement practices are often blamed for subsequent cost overruns in construction, especially with conventional procurement methods leading to outrageous cost overruns. The purpose of this study is to review the features of the new models of construction procurement (NMCP) and assess their potential to reduce cost overruns in construction projects.

A literature review was conducted to identify the issues of procurement leading to cost escalations. Primary data were obtained through exploratory, semi-structured interviews using a case study approach.

Clients’ lack of knowledge was highlighted as a key issue in procurement that interlinks with many factors causing cost escalation. The findings suggest that the features contained within the NMCP, such as early contractor involvement and collaboration throughout the project team, have the potential to make a positive contribution to addressing cost escalation in construction.

The primary research was undertaken as an exploratory study and presents the contractor's perspective. Further research is therefore suggested, with multiple organisations representing all key stakeholders in a construction project, including clients, consultants, sub-contractors and suppliers.

The study recommends awareness of the NMCP be raised throughout the industry, and simplified information must be made available to help widen uptake of these contemporary procurement methods.

Addressing the dearth of research concerning the use of NMCP within the industry, this study makes a niche contribution to the body of knowledge on construction cost management by illustrating the potential offered by these new procurement methods for addressing cost escalation. For an industry where collaboration is accepted with reservations, this case study demonstrates how novel collaborative strategies such as open book costing, project bank accounts and shared pain and gain mechanisms can be implemented as part of the procurement strategy and how such strategies can contribute towards minimising the cost escalation inherent in construction projects.

Nowadays, engineering, procurement and construction (EPC) contracts are being widely used to perform industrial and infrastructure projects because of several reasons like high speed of implementation. However, these contracts are always accompanied by high risks and uncertainties. Thus, selection of the right EPC contractor has significant importance. This paper aims to present a fuzzy multi-criteria decision-making (MCDM) model for EPC contractor prequalification.

First, the EPC contractor prequalification criteria are defined by using literature review and interviewing experts. Second, the weights of criteria are determined by interviewing experts. Then, each EPC contractor is evaluated in each criterion. Finally, fuzzy weighted average (FWA) approach is employed to select the right contractor among potential EPC contractors.

The proposed model is prepared as an applicable model for clients to select the right EPC contractors among contractors who want to conduct the project.

As a lack of applicable model does exist to assign the prequalification of EPC contractors, this study is one of the first research studies which proposed a fuzzy MCDM model for evaluation of EPC contractors. To cope with the uncertainty of the prequalification problem, fuzzy logic has been used. Using fuzzy sets leads to reaching more reliable results. Also, a real case study is provided to explain the proposed model.

The complexity of property valuation, coupled with valuers’ cognitive limitations, makes some degree of error inevitable in valuations. However, given the crucial role that valuations play in the efficient functioning of the economy, there is a need for continuous improvement in the reliability of reported values by enhancing the quality of the decision-making process. The purpose of this paper is to review previous research on valuation decision-making, with particular interest in examining the approaches to improving the quality of valuation decisions and identifying potential areas for further research.

The paper adopts a narrative approach to review 42 research articles that were obtained from Scopus and Web of Science databases and through author citation searches.

Our findings show that existing literature is skewed towards examining the use of technology in the form of decision support systems (DSS), with limited research attention on non-technological (i.e. behavioural) approaches to improving the quality of valuation decisions. We summarise the non-technological approaches and note that much of the discussions on these approaches often appear as recommendations arising from other studies rather than original investigations in their own rights.

We conclude that studies investigating the effectiveness of the non-technological approaches to improving valuation decision-making are lacking, providing various avenues for further research.

This paper presents the first attempt to provide a comprehensive overview of non-technological approaches to improving the quality of valuation decisions.

This research aims to evaluate the status of project management best practices in the road infrastructure sector of Ghana through the inquiry of project managers’ competency.

Based on a thorough literature review on competency and project management best practices, a criterion for measuring best practices based on the competencies was identified. Using closed-ended questionnaires as a survey instrument, data was collected and analyzed using a one-sample t-test, Kendall’s concordance coefficient and simple regression.

The key finding reveals that in achieving project management best practices for the Ghanaian road infrastructure projects, project managers should straighten and strengthen their capability in terms of skills, personal characteristics and knowledge as ranked. An appropriate blend of these characteristics would be a necessary requirement for project managers. Through this, project managers and project-based road infrastructure organizations will be able to win the confidence of their stakeholders and attain improvements in cost-effectiveness, quality and time management.

This study provides project managers in the road infrastructure sector with relevant information on which criteria and variables are critical and are frequently required to manage such projects. This will be helpful for training programs and professional development of project managers in the road infrastructure sector.

The study provides a new direction and focuses for project managers in the road infrastructure industry toward best project management practices in developing countries. It also complements existing studies in this area which deepen the understanding of the subject area.

With emerging technologies rapidly changing work processes, it is important to understand the skills and characteristics project managers (PMs) need to effectively manage projects in the digital era. This study determines the underlying competencies needed for digitalization among PMs in the construction industry. The study also identified the most significant competencies needed by PMs in the era of digitalization.

The methodology adopted for the research study was quantitative. It was founded on a thorough review of pertinent literature, which went through a pilot survey study from six project management experts in the construction industry. Based on the comment and feedback, a questionnaire survey was developed and distributed to participants through a convenience sampling technique. The data retrieved were from 100 professional PMs out of 130 questionnaires distributed in the Ghanaian construction industry. Data collected were analyzed using fuzzy synthetic evaluation (FSE).

Based on FSE, the three competency parameters (knowledge, skills, personal characteristics) generated significant indices indicating that all three competencies are significant among construction PMs in the digitalization era. Under the knowledge competency parameter, six sub-competencies comprising a total of 12 variables were identified. For skills, seven sub-competencies consisting of 23 variables were identified. Regarding personal attributes, six sub-competencies with 17 variables were highlighted. Under knowledge, technical knowledge was found to be the most important with an index of 4.212. For skills, leadership skills were rated highest with an index of 4.240. Regarding personal attributes, social or interpersonal skills were deemed most critical with an index of 4.199.

The results provide guidance to both industry and academic stakeholders. For PMs and their employers, the study highlights priority areas for competency development and training related to the era of digitalization. It also informs educational institutions on how to structure project management curricula to best prepare students for jobs of the future. This study gives more insight into the competencies that need more attention for PMs in the digitalization era. As a result, firms that adopt the identified competency will benefit from implementing digitalization in project delivery.

This study makes an original contribution as one of the first to empirically investigate the competencies required of construction PMs in the construction industry in the digitalization era. By focusing on the developing country context of Ghana, the study extends knowledge to an under-researched region and market. It provides a foundation for future comparative research across diverse global contexts.