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In the last decades, various building information modeling–life cycle assessment (BIM-LCA) integration approaches have been developed to assess the environmental impact of the built asset. However, there is a lack of consensus on the optimal BIM-LCA integration approach that provides the most accurate and efficient assessment outcomes. To compare and determine their accuracy and efficiency, this study aimed to investigate four typical BIM-LCA integration solutions, namely, conventional, parametric modeling, plug-in and industry foundation classes (IFC)-based integration.

The four integration approaches were developed and applied using the same building project. A quantitative technique for evaluating the accuracy and efficiency of BIM-LCA integration solutions was used. Four indicators for assessing the performance of BIM-LCA integration were (1) validity of LCA results, (2) accuracy of bill-of-quantity (BOQ) extraction, (3) time for developing life cycle inventories (i.e. developing time) and (4) time for calculating LCA results (i.e. calculation time).

The results show that the plug-in-based approach outperforms others in developing and calculation time, while the conventional one could derive the most accuracy in BOQ extraction and result validity. The parametric modeling approach outperforms the IFC-based method regarding BOQ extraction, developing time and calculation time. Despite this, the IFC-based approach produces LCA outcomes with approximately 1% error, proving its validity.

This paper forms one of the first studies that employ a quantitative and objective method to determine the performance of four typical BIM-LCA integration solutions and reveal the trade-offs between the accuracy and efficiency of the integration approaches. The findings provide practical references for LCA practitioners to select appropriate BIM-LCA integration approaches for evaluating the environmental impact of the built asset during the design phase.

The negative effects of job stress and burnout on construction professionals (CPs) at the construction site have been widely concern in the construction industry. The purpose of this study is committed to explore the impact of job stress on CPs on the construction site, especially in the context of the widespread use of social media to express their emotions.

This study developed a job-related stress-burnout-health conditions-turnover intention (S-B-HT) framework to explore the direct and lagged effects of job stress, we also examined the moderating effects of online emotions, operationalized in terms of emotional intensity and expression pattern, on the relationship between job stress with job burnout under two evolution paths (i.e. health conditions or turnover intention). This study collected 271 samples through a survey questionnaire for empirical testing, and introduced structural equation models to validate the proposed conceptual model.

The results show that job stress has a significant positive effect on job burnout, and job burnout maintains a positive relationship with health conditions (or turnover intention) under the interference mechanism. Simultaneously, the online emotions expressed in social media have a positive moderating effect in two stages of the evolution path.

The findings of this study remind the project manager need to timely find and solve the job burnout characteristics of CPs due to excessive job stress, especially to prevent the accidental consequences caused by job burnout.

On this basis, this study provides an important value of using social media to express emotions for the project team to alleviate the adverse of professionals under job stress.

This study investigates whether financial analysts process information efficiently when they make cash flow forecasts.

Using a sample of 3,967 observations spanning 2004–2016, we perform empirical analyses by regressing actual cash flows on previous cash flow forecasts for the current period and a vector of information variables known to the analysts at the time of the forecasts.

We find that analysts do not incorporate past stock returns or past cash flow information efficiently when they generate cash flow forecasts. We also find weak evidence that analysts do not incorporate past consensus cash flow forecasts or past accruals information when they generate cash flow forecasts.

Our findings contribute to the analyst forecast efficiency literature and highlight the difference between analyst cash flow forecast efficiency and earnings forecast efficiency.

While extant research on whether analysts use publicly available information efficiently when generating earnings forecasts documents mixed findings (e.g. DeBondt and Thaler, 1990; Abarbanell and Bernard, 1992; Basu and Markov, 2004; Evans et al., 2017), our results regarding analysts’ cash flow forecast efficiency are unambiguous.

Construction project team members’ job burnout damages the physical health of members and also have a negative effect on project performance. This study primarily aims to empirically examine the relationship between coaching project managers (CPMs) and team members’ job burnout. Moreover, this research examines the cross-level mediating effect of team caring ethical climate and team members’ team-based self-esteem (TBSE) on the relationship between the two aspects.

This study uses conservation of resources theory as basis to construct a cross-level research model of the effect of CPMs on team members’ job burnout. Thereafter, regression analysis was performed on a sample of 431 team members from 83 teams.

According to the empirical results, the authors found that, in construction project teams, first, CPMs were negatively correlated with team members’ job burnout and positively correlated with caring ethical climate and team members’ TBSE. Second, caring ethical climate and team members’ TBSE played a cross-level mediating role between CPMs and team members’ job burnout. In addition, caring ethical climate played a cross-level moderating role in the negative relationship between team members’ TBSE and job burnout.

This study introduces coaching leadership, an important leadership type, into the research background of construction project teams, thereby theoretically enriching the research on construction project team leadership. Moreover, by further expanding the research on the consequences of coaching leadership to the field of job burnout, this study also enriches the theoretical results of the research on the consequences of coaching leadership.

Surakarta needs to evaluate its flat management as the most populous city in Central Java, Indonesia. This study examines the implementation of flat management in Surakarta City and evaluates and recommends the appropriate flat retribution rate.

This study used the analytical descriptive method to explain the problems in managing flats in Surakarta City. The data were obtained through a review of existing regulations and in-depth interviews with the flat residents and managers. The proposed retribution tariff for flats is calculated with a market approach through a comparison with neighboring cities and/or districts adjusted to the regional minimum wage to accommodate the residents’ ability to pay.

Based on the results of interviews and a review of regulations, problems were identified in the management of flats in Surakarta City. A comparison of levy rates with surrounding districts led to a proposal for new levy rates, which were divided into two tariff groups based on the characteristics of flats in Surakarta City.

The result of this study is a suggested retribution tariff derived from an economic framework that has yet to be validated by assessing the flat residents' willingness to pay.

This paper complements previous studies on the management and financing of flats by more in-depth evaluating the current tariffs and providing recommendations for appropriate tariffs.

Aerospace is a demanding technological and industrial sector. Several regulations and policies via innovative digital transformation have been integrated to impact production systems and supply chains, including safety measures. Studies demonstrated that the Fourth Industrial Revolution (4IR) technologies could enhance productivity growth and safety measures. The 4IR role in influencing airlines’ growth is yet to receive in-depth studies in South Africa. Thus, this study aims to investigate the role of 4IR technologies in influencing airlines’ growth in South Africa.

This research used a qualitative research method. Primary data were compiled via 56 face-to-face semi-structured interviews with major stakeholders. The study achieved saturation. A thematic method was used to analyse the collected data.

Findings reveal the nine major factors influencing South African airlines’ growth in the 4IR era. This includes investment in ergonomics applications and research, governance is driven by 4IR, collaboration and incorporation of 4IR concepts, partnership with drone technology and high precision and efficiency with 4IR. Others are reskilling and upskilling, investment in 4IR software, policies to promote 4IR usage in the industry and policies to reduce human interface.

Understanding the relative significance of 4IR technologies’ role in airlines’ growth can assist critical stakeholders in promoting innovative policies and regulations tailored towards digitalised aerospace. Thus, the study contributes to strategies to improve digital innovation, airline growth and safety as components of the air travel demands in South Africa.

Performance management systems (PMSs) must remain dynamic and maintain the ability to withstand the high degrees of complexity brought about by digital technologies (DTs). Academics and practitioners have explored DTs and PMSs separately. This study aims to bridge the academic and practitioner discourse surrounding PMSs and DTs to promote knowledge diffusion and collaboration.

The authors adopted a mixed method approach, combining quantitative and qualitative content analysis, which were validated through semi-structured interviews with academics and practitioners. The authors first conducted a content analysis of the academic literature contained in the Scopus database and the practitioners' literature featured in the Nexis Uni database.

The combined academic-practitioners’ body of knowledge underscores the risk and environmental dimension, as well as the theoretical frameworks employed to explore digitally empowered PMSs. These findings were corroborated by 17 confirmatory interviews conducted with scholars and practitioners.

Due to its scope, the research is limited to publications listed on Scopus and Nexis Uni. Additionally, its qualitative and interpretative nature presents some generalizability issues.

This study connects the intentions of scholars and practitioners concerning PMSs and DTs to promote collaborative efforts and knowledge diffusion. Moreover, considering the broader spectrum of insights, this manuscript postulates new avenues of research that address the key issues and concerns of both academics and practitioners. Finally, this article showcases PMs- and DT-appropriate theoretical frameworks that can inform practitioners’ discourse and work.

The current booming development of smart cities poses new requirements and challenges for their internal infrastructure development. This article aims to explore the questions of: What is the level of social sustainability of smart city infrastructure today? and What are the core contents and paths to improve this level?

With the theme of public participation in the social sustainability evaluation of smart city infrastructure in the context of big data, this study mainly makes a systematic literature review of the Web of Science's Science Citation Index Expanded and Social Sciences Citation Index databases. After collection and screening, 199 documents were finally obtained.

It is found that the level of social sustainability of smart city infrastructure is still low, and public participation can provide solutions to the difficulties and challenges involved in its development, while big data technology can broaden the channels for public participation and promote the development of smart city-related components in the process, including smart city infrastructure.

This article summarizes the internal mechanisms of smart cities at the theoretical level and analyzes the social sustainable development of smart city infrastructure. In practice, the shortcomings in this field are identified and suggestions are provided on how to carry out digital public participation, which has practical reference value.

Short-form video advertisements have recently gained popularity and are widely used. However, creating attractive short video advertisements remains a challenge for sellers. Based on the visual-audio perspective and signaling theory, this study investigated the impacts of three visual features (number of shots, pixel-level image complexity and vertical versus horizontal formats) and two audio features (speech rate and average spectral centroid) on user engagement behavior.

We conducted a field study on TikTok. To test our various hypotheses, we used regression analysis on 2,511 videos containing product promotion information posted by 60 sellers between January 1, 2020 and November 20, 2021.

For visual variables, the number of shots and pixel-level image complexity were found to have nonlinear (inverted U-shaped) relationships with user engagement behavior. The vertical video form was found to have a positive effect on comments and shares. In the case of audio variables, speech rate was found to have a significant positive effect on shares but not on likes and comments. The average spectral centroid was found to have significant negative influences on likes and comments.

This study provides specific suggestions for sellers who create short-form videos to improve user engagement behavior.

This study contributes to the literature on short-form video advertising by extending the potential drivers of user engagement behavior. Additionally, from a methodological perspective, it contributes to the literature by using computer vision and speech-processing techniques to analyze user behavior in a video-related context, effectively overcoming the limitations of the widely adopted survey method.

Urban expansion in recent decades has led to a surge in new buildings and infrastructure, significantly increasing construction and demolition (C&D) waste materials. This large waste stream presents environmental challenges, prompting stakeholders in the construction and waste recovery sectors to establish waste recovery facilities. However, these infrastructure projects often face public opposition. This research aims to identify the root causes of public opposition to C&D waste recovery facilities and propose strategies to manage and mitigate these concerns effectively.

This research adopts a qualitative approach to extract relevant literature using the PRISMA model, which is common for systematic reviews. A set of selection criteria were used to extract the most relevant literature in this field. The analysis methods are based on bibliometric analysis as well as document analysis.

The research findings indicate that five major categories impact the public’s perceptions of C&D waste recovery facilities. These categories include environmental, awareness and perception, economic, health, safety and well-being and project management. Furthermore, the research provides eight strategies to effectively manage public opposition to waste recovery facilities.

This research provides a framework for managing public opposition to C&D waste recovery infrastructure projects fairly and efficiently. Comprising six steps with specific actions, the framework addresses citizens’ concerns while improving C&D waste recovery rates. It serves as a strategic roadmap that can be adapted for use in various infrastructure projects, fostering community support and sustainable development.

This review paper is the first attempt to gather causes for public opposition to the development of C&D waste recovery facilities. The research findings can guide policymakers who strive to establish a fair framework for all stakeholders affected by or involved in the establishment of C&D waste recovery facilities.