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Survival challenges compel construction firms to change their business thinking on adapting business models (BMs). Unlike in the other fields, in the construction field, it is still a novel concept, probably because BM adaptation in the industry has not been sufficiently studied. Hence, the purpose of this study is to set a roadmap for the effective adaptation of the BM concept in the construction industry.

To develop a roadmap, this study analysed BM literature through a comprehensive literature review by finding the BM research development stages using studies done in other fields and locating construction industry BM literature.

No stage-wise development of BM research has taken place in the construction industry. The four BM research development stages, namely, defining BMs, listing BM components, describing BM components and modelling BM components as a business model ontology (BMO) in relation to the construction industry have to be followed for proper BM adaptation in the construction industry.

This study provided an overview of and a roadmap for BM adaptation in the construction industry for the benefit of future researchers. The proper adaptation of the BM concept through a BMO will enable construction business managers to easily innovate, design and change construction BMs to streamline their business thinking.

Adaptability and integration (ADI) are the core ingredients for environmentally sustainable construction (ESC), which preserves the ecology from unsupported human activities. However, the approach is lagging in developing countries, which has led to studying the influence of ADI on the adaptive capacity of small- and medium-scale construction organisations.

The research employed a quantitative methodology, collecting 400 responses as a sample size. A construct of 14 influential factors concerning ADI within the Ghanaian small and medium-scale construction industry was developed. The data obtained from participants underwent analysis using SPSS version 26. The validity of the study’s findings was assessed by applying structural equation modelling (SEM) within the AMOS software.

It was evident that innovation advancement and ongoing training and evaluations significantly influence ADI for adaptive capacity. Moreover, the system internally and vulnerability (SIV) and perceived need for implementation (PNI) sub-scales were the main latent components for best construction practices.

Ghana’s small- and medium-scale construction organisations have yet to fully recognise the importance of ADI in enhancing adaptive capacity for the best ESC. However, the results indicated that ADI constructs will significantly influence implementation outcomes to ensure ESC.

The originality of this research also resides in identifying how ADI affect small- and medium-scale construction organisation’s ability to ensure ecologically sustainable building practices.

The phenomenon of delayed payment to contractors, particularly in the construction industry, is a vital one and has implications for the health of economies of both developing and developed countries. However, the knowledge of this phenomenon seems patchy and scattered. This paper aims to provide a comprehensive overview of the knowledge on the subject matter with directions for future research.

A systematic literature review coupled with a scientometric analysis was used to identify the main strands of delayed payment to contractor research as a basis for qualitative analysis and directions for future investigations.

Current trends of delayed payment to contractor research are categorised into five broad themes, namely: causes, effects, mitigation measures, ethical and law and regulatory issues. On the basis of these themes, directions for future research are proffered.

To the best of the authors knowledge, this is the first attempt at providing a comprehensive and an integrated knowledge on delayed payment to contractor research with pointers for further investigation and policy directions.

The urgent need to preserve the ecosystem, which faces a threat from non-environmentally-friendly anthropogenic activities, has led to the study of adaptive capacity implementation. There is an indication that the construction industries in developed countries are relatively better equipped to pursue sustainable construction than those in the developing world. Despite this, sustainable construction is yet to be established in developing countries. This research aims to develop a framework to drive and enable small and medium-sized (SME) firms in Ghana to implement adaptive capacity.

The study adopted a quantitative approach, and 400 responses were retrieved as a sample size for which a six-factor adaptive capacity implementation framework was arrived at for SMEs in the Ghanaian construction industry. The data gathered from the respondents were analysed using IBM SPSS version 26 and AMOS version 24, and a structural equation modelling was also used to determine the work's validity based on the AMOS software.

The findings revealed that education and training, government support and a centralised information hub significantly influence adaptive capacity outcomes in Ghana.

It is recommended that the government, corporate and professional institutions that desire to preserve the country's ecosystem be guided by this study's adaptive capacity implementation framework.

This study's novelty also lies in the integrated framework for adaptive capacity implementation developed to aid small- and medium- sized enterprises in Ghana's construction industry to ensure environmentally-friendly construction activities.

The construction industry faces significant challenges in managing waste and resource inefficiency, contributing to environmental degradation and unsustainable practices. Despite the potential of circular economy (CE) practices to address these issues, there is limited understanding and inadequate policy support for their effective implementation. This study investigates the perspectives of policymakers on achieving CE in the Nigerian construction industry. Specifically, this study examines policymakers’ understanding of CE, key influencing policies, the challenges encountered in implementing CE practices and how policies can support the transition to CE.

This study adopts a qualitative approach to explore the perspectives of policymakers towards achieving CE in the Nigerian construction industry. About 50 participants were purposively selected to participate in this study to provide comprehensive data for the study. Saturation was attained on the 34th participants. The data were analysed using thematic analysis to identify key themes and insights.

This study identified significant gaps and challenges hindering policymakers' effective implementation of CE practices. The challenges include financial constraints, resistance to change, inadequate regulatory frameworks, lack of infrastructure, skill gaps and weak enforcement mechanisms. Recommendations for improvement include financial incentives, updated building codes, enhanced enforcement, mandatory education and training programmes and increased collaboration between government, industry and academia. A conceptual framework was developed to promote the implementation of CE in the construction industry.

This study is the first to examine the perspectives of policymakers on CE in the Nigerian construction industry, offering unique insights and practical recommendations. The conceptual framework adds a structured approach to implementing CE practices, contributing to the limited research on CE in developing countries and providing a robust foundation for future studies to expand the scope and employ quantitative methods to measure the impact of CE practices.

The factors involved in and obstacles to sharing economy adoption have been studied with several methods, and several models have occurred to clarify the underlying procedure of sharing economy (SE) adoption, which provide contradictory and scattered findings. This chapter seeks to offer a scientific outline of the academic structure of the SE adoption domain.

Previous researchers (eg. Libby, 1976 and Salamon et al., 1976) have proposed three alternative strategies for improving decisions: (1) changing the information set; (2) replacing the decision maker with a model; and (3) training the user (e.g. with the use of feedback information). The present research focusses on the role of feedback in the prediction of corporate failure. The effect of various types of feedback on human judgments is examined in the present study in two ways. The first section of the paper extends Kessler and Ashton's (1981) study which looked at the impact of several alternative types of feedback. Using 173 advanced undergraduate students as subjects, we find that, contrary to general expectations, both task properties and lens model feedback are not effective for decisions taken within a financial accounting context. Several possible explanations are given for this result. The second section of the paper examines the effect of outcome feedback within a financial accounting context. The participants in this study were 40 advanced undergraduate students. We found that outcome feedback is an effective means for promoting learning even where the task is not highly predictable.

This study examines the effect of human and technological resource bundling on the financial and non-financial performance of third-party logistics (3PL) firms in India.

For achieving the research aim, 248 practitioners from India based 3PL firms were surveyed. The relationships between human and technology resources and firm performance were examined using structural equation modelling (SEM).

The results of empirical tests revealed that human and technological resources significantly enhance the performance of the 3PL firm. However, the firm's logistic capabilities related to track and trace, order management and final assembly do not mediate this relationship.

This study contributes by examining resource bundling in India's 3PL industry using empirical data and providing knowledge of the relationship between resources and business performance. It guides managers to consciously develop resource capabilities that influence firm performance.

Previous studies have shown that soft skills play a significant role in applicants' employability and in the job search, recruitment, selection and hiring process. However, past research indicates a gap in perceptions of soft skills, between employees and employers. The present empirical research aims to explore this gap in perceptions and to suggest effective ways to resolve any mismatch. Demographical factors affecting these perceptions are also taken into consideration for the analysis.

A quantitative research design has been applied. The survey undertaken, covers all three main sectors of employment (manufacturing, retail and services), with 151 employee–employer dyads around Greece participating in the survey. Paired sample t-test, independent t-test and One-way ANOVA were used to analyze the data.

The results show a gap between employees' and their subsequent employers' perceptions of employees' soft skills. Employees seem to regard their skills more highly than do their employers, whereas employers seem to consider employees as not properly equipped with the necessary soft skills. These findings are a worrying sign for business operations and suggest that difficulties in manager–employee co-operation can arise.

This study has both theoretical and practical implications. It adds to the literature in human resources appraisal process by identifying soft skills perceived differently by employees and employers. It also highlights the reasons for that gap and makes suggestions for the enhancement of required skills.

The majority of previous studies in the field focus either on employees' or employers' perceptions, without comparing them. In addition, the few former studies attempt a comparison focused on students as employees or trainees, with no previous work experience. The current study focuses on employees whose work experience has already shaped perceptions of their skills and employability.

This study examines the effect of social media marketing on voting intention applying a combination of fuzzy logic methodology and a multidimensional panel data model.

The study adopts a multidimensional panel data method that includes several fixed effects. The dependent variable is a multifaceted construct that measures the participants’ intention to vote. The independent variables are electronic word of mouth (eWOM), customisation (CUS), entertainment (ENT), interaction (INT), trendiness (TRD), candidate’s perceived image (CPI), religious beliefs (RB), gender and age. The grouping variables that signify fixed effects are employment status, level of education, mostly used social media and religion. First, the significance of said fixed effects was tested through an ANOVA process. Then, the main model was estimated, including the significant grouping variables as fixed effects.

Employment status and level of education were significant fixed effects. Also, eWOM, ENT, INT, CPI, RB and gender significantly affected participants’ voting intention.

Being based on a questionnaire that asked participants about how they perceive different aspects of social media, the present study is limited to their perceptions. Therefore, further studies covering the voters’ behaviour in action could be efficient complements to the present study.

The findings could guide the political parties into prioritizing the aspects of social media in forming an effective campaign resulting in being elected.

The findings have the potential to help the public in making better informed decisions when voting. Furthermore, the results of this study indicate applications for social media which are beyond leisure time fillers.

Fuzzy logic and multidimensional panel data estimates are this study’s novelty and originality. Structural equation modelling and crisp linguistic values have been used in previous studies on social media’s effect on voting intent. The former refines the data gathered from a questionnaire, and the latter considers the possibility of including different grouping factors to achieve a more efficient and less biased estimation.