Purpose: Beyond a mandated use, rationales behind executive choice to accept or reject building information modelling (BIM) are ambiguous. BIM acceptance is complex for organisations, and existing decision-making models are impractical to make realistic choices. A practical solution must assist a holistic reflection of internal and external BIM success factors. Nevertheless, extant literature is largely focused on software use and awareness. Thus, this paper aims to suggest a novel framework for assessing firm readiness, aimed at facilitating BIM uptake.Design/methodology/approach: Extant explanatory studies are inadequate in assessing the soft nature of BIM uptake. Thus, a design science research was employed as an alternative methodology. A means-end analysis was utilised for solution incubation, and cross-disciplinary reasoning, the strategy to establish valid solutions on firm readiness. Previous studies were reviewed on BIM, technology acceptance (generally) and complexity.Findings: “Technology attitude” is presented as involving more holistic variables than a simplistic reliance on software use to mirror BIM acceptance. Technology acceptance model (TAM) is appropriate to explain BIM attitude attributes, but its current use is sub-optimal. Selective information processing and unconscious thought theory were integrated into TAM to explain attitude formation from multiple perspectives, resulting in a novel BIM attitude scale (BIMAS). Upon verification, the proposed framework will facilitate an objective authentication of biases that associate with BIM acceptance.Originality/value: Whilst BIM readiness is assessed largely with a primary focus on theory building, practical relevance must be at the forefront of BIM development. This study articulates that design science research can enhance the practical relevance of BIM adoption models. BIM acceptance attitude must be assessed through a verified scale contrary to the assessment of self-biases of executives in literature. BIMAS suggests a testable solution for this. Theory building research must be the future focus to enhance the relevance of this initial solution.

Migrant construction workers, significant in many developed economies, face several challenges, which place them at a higher risk of job dissatisfaction compared to locals. Therefore, this study investigates the determinants of job satisfaction amongst a specific group of migrant construction workers, who hold temporary work visas (TWVs) in New Zealand (NZ). An explanatory research approach was used to investigate the determinants of job satisfaction identified through the literature review. Data were collected through a structured survey administered to 200 Chinese migrants on TWVs (short stays) working on selected major projects in the Auckland region. Data analysis involved T-test and structural equation modelling (SEM) of 102 valid questionnaire responses. The study highlights the importance of providing opportunities for knowledge advancement and career progression for migrant construction workers to improve their job satisfaction. The results found that Chinese migrant construction workers are generally satisfied with their jobs and would extend their stay if job opportunities are provided. The results confirm that remuneration and opportunities for knowledge advancement and career progression lead to increased job satisfaction, while loneliness decreases job satisfaction. The opportunities for knowledge advancement and career progression triggered more satisfaction than remuneration. The research result provides a useful knowledge base for understanding the determinants of job satisfaction amongst Chinese migrant construction workers with TWVs. These findings have implications for employment management practices within the construction industry and could enhance immigration information policies and other recruitment agencies' approaches to sourcing overseas workers for the NZ construction industry.

This study aims to investigate clients' attributes, their key decision variables and causal relationships between the decision variables. In addition, the purpose of the study is to map-out from these analyses, the attributes of project clients that motivate contractors' bid decision. A total of 50 responses were obtained from a questionnaire survey. 50% of participants are contractors. 44% are claims consultants, whilst 6% are manufacturers and clients. Beyond measures of central tendencies, analysis focussed on causal relationships by way of correlation, analysis of variance and reductionism. All 20 factors considered have significant correlations with at least one other factor. Findings also show the factors can be clustered into six: reputation, financial strength, relationship with the bidder, organisational attributes, history with project attributes and project organisation. Evidence suggests stakeholders have often struggled to consider the many decision factors reported in normative literature, numbering hundreds. By clustering the factors into sub-themes, bid decisioning has been made more efficient. The study also explains how client attributes could determine project success and contractor participation. Different stakeholders can use findings of this study for training and further studies. Previous studies have considered bid decisioning indexically – factors were long, analyses were largely inconclusive, and causal relationships are orthogonal. Findings in this study have shown depth: 20 originating client-specific factors were clustered into six sub-themes, and correlations were established. The methodology used for the study is confirmatory and conclusive.

The architecture, engineering, and construction (AEC) sectors are constantly evolving, and the effective adoption and use of digital technologies are critical for improving project outcomes, enhancing productivity, and fostering innovation. This study aims to identify and analyse the key factors that enable effective knowledge transfer among digital technology end-users in the AEC industry. The study’s theoretical framework is a modified version of the technology acceptance model (TAM). It investigates six knowledge transfer enablers, including ease of use, perceived usefulness, training and support, self-efficacy, and mastery goal orientation. The study also examines the mediating roles of transfer motivation in the relationship between these enablers and knowledge transfer effectiveness. A quantitative research methodology was employed to conduct the research, using partial least squares structural equation modelling (PLS-SEM) to analyse data collected from 85 construction practitioners through an online survey. The study reveals that there are significant positive relationships between the knowledge transfer enablers and the effectiveness of knowledge transfer, with transfer motivation playing a crucial mediating role. Self-efficacy is the single most important driver of digital technology (DT) knowledge transfer, while supervisory support has a marginal role. Mastery goal orientation increases an employee’s knowledge transfer motivations; therefore, challenging working environments have a positive influence on DT knowledge transfer. These results contribute to the theoretical understanding of knowledge transfer in the context of digital technology use in AEC organisations. The study provides practical insights for managers and policymakers on creating an environment that facilitates effective knowledge transfer, emphasising the need for supportive organisational cultures, adequate training, and the development of user-friendly and compatible technologies. It further highlights the importance of motivating end-users to participate in knowledge transfer processes and suggests strategies to enhance motivation, leading to the successful adoption and utilisation of digital technologies in the AEC industry.