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Live-streaming e-commerce (LSE) allows anchors to bring offline promotion skills to interact with consumers and persuade them to buy. However, how consumers respond to these communications remains unknown. This study examines the persuasive effect of different scarcity marketing messages on impulsive buying in the LSE context.

This study adopts scenario-based experimental methods and conducts two 2 quantity-based scarcity (supply-framed vs demand-framed)*2 time-based scarcity appeals (high vs low) between-subjects experiments to test the hypotheses.

The results indicate that supply-framed appeals are more effective in provoking consumers’ arousal and impulsive buying, but are moderated by time scarcity. Furthermore, emotional arousal only mediates the effects of quantity-based scarcity appeals on impulsive buying under high-level time scarcity conditions.

This study contributes to the e-commerce literature by comparing the persuasive effect of different scarcity messages in the LSE context. We broaden the scarcity marketing literature by testing the combined effect of quantity-based and time-based scarcity appeals. Finally, this study extends the application of the competitive arousal model.

This study (1) assessed restaurant consumers' perceived importance of better food quality versus larger portion sizes, (2) classified restaurant consumers into different segments based on their perceived importance of seven food quality attributes (taste, texture, aroma, appearance and the use of natural, local and organic ingredients) relative to portion size and (3) compared the identified market segments.

An online survey assessed 613 USA adult participants' perceived importance of seven food quality attributes relative to portion size. A K-means cluster analysis classified participants into different segments based on their perceptions.

Five restaurant consumer segments were identified: sensory-oriented consumers, taste-oriented organic food consumers, local and natural food consumers, quantity-oriented consumers and quality-oriented consumers. In general, quality-oriented consumers were the least likely to visit fast-food restaurants, had the highest average per-meal spending and were the least likely to eat out alone. Local and natural food consumers and taste-oriented organic food consumers had higher total restaurant spending than other groups. Quantity-oriented and sensory-oriented consumers visited fast-food restaurants more often and had lower total restaurant spending and per-meal spending than other groups. Age, sex and income were significantly associated with the segmentation outcomes.

Findings suggest promising opportunities for restaurants to enhance consumer perceptions of value by prioritizing the factors that hold the greatest significance to their target customers.

This study is the first attempt to segment restaurant consumers based on their perceived importance of food quality attributes relative to portion size, effectively identifying five distinct consumer segments.

The proliferation of lean principles in the construction industry is offset by the enduring uncertainty among industry stakeholders regarding their respective roles in lean implementation. This uncertainty is further compounded by the scarcity of empirical investigations in this area. Consequently, this study undertakes the task of bridging this knowledge gap by identifying the critical roles of lean learners and their indispensable contributions to achieving successful lean implementation.

A qualitative exploratory approach informed by an interpretivism perspective was adopted. The case study strategy was employed to gather data from three contracting organisations that had implemented lean practices. Empirical data was collected through in-depth semi-structured interviews with fifteen industry experts and complemented by document reviews. To analyse the data, a code-based content analysis approach was employed using NVivo software, while Power BI software was utilised to develop a comprehensive force-directed graph visualisation.

The research findings substantiated nine lean learners and unveiled a set of seventy-three roles associated with them. The force-directed graph facilitated the identification of lean learners and their connections to the emerged roles. Notably, the graph highlighted the pivotal role played by project managers and internal lean trainers in ensuring the success of lean implementation, surpassing the contributions of other lean learners.

The implications of findings extend to industry professionals seeking to establish a robust lean learning framework to expedite lean implementation within the construction sector. This study not only provides a comprehensive definition of lean learners’ roles but also transcends specific construction types, making it a significant catalyst for global impact.

Several organisations dedicate a portion of their budget and business websites to corporate social responsibility (CSR) events. This illustrates the significance attached to CSR events. In Ghana, a social disconnection may exist between the community and the construction sector. Therefore, this research aims to investigate the benefits of CSR in the construction industry, the implementation challenges and measures to enhance CSR in the Ghanaian built environment.

The qualitative technique was adopted using an extensive review of literature supported by structured interviews and analysed by context analysis. The participants include ministry and municipal directors, contractor associations, unions and institutions of engineers. The study achieved saturation.

Findings reveal that the construction industry’s CSR impacts the community’s social behaviour and has economic and environmental significance. The absence of government implementation policy and finance constraints were identified as Ghana’s major CSR implementation challenges. Also, besides the government instituting a mandatory policy on CSR in the industry, findings suggest that stakeholders, especially players in the industry and policymakers, should form an integral part of the CSR decisions.

Findings will support and recommend holistic measures to mitigate CSR implementation hindrances and encourage CSR via a central government's mandatory policy in the Ghanaian built environment.

Besides most studies used questionnaires, the contribution deduced shows that construction companies' management could use the knowledge from this study and involve all the relevant stakeholders when undertaking CSR activities. Also, the study would fill the scarcity of relevant materials concerning CSR in Ghanaian construction sector.

Organizational scholars studying compensation often place an emphasis on certain employee groups (e.g., executives). Missing from this discussion is research on the compensation systems for low-wage jobs. In this review, the authors argue that workers in low-wage jobs represent a unique employment group in their understanding of rent allocation in organizations. The authors address the design of compensation strategies in organizations that lead to different outcomes for workers in low-wage jobs versus other workers. Drawing on and integrating human resource management (HRM), inequality, and worker literatures with compensation literature, the authors describe and explain compensation systems for low-wage work. The authors start by examining workers in low-wage work to identify aspects of these workers’ jobs and lives that can influence their health, performance, and other organizationally relevant outcomes. Next, the authors explore the compensation systems common for this type of work, building on the compensation literature, by identifying the low-wage work compensation designs, proposing the likely explanations for why organizations craft these designs, and describing the worker and organizational outcomes of these designs. The authors conclude with suggestions for future research in this growing field and explore how organizations may benefit by rethinking their approach to compensation for low-wage work. In sum, the authors hope that this review will be a foundational work for those interested in investigating organizational compensation issues at the intersection of inequality and worker and organizational outcomes.

Studies show that building information modelling (BIM) technology can improve construction productivity regarding the design, construction and maintenance of a project life cycle in the 21st century. Revit has been identified as a frequently used tool for delivering BIM in the built environment. Studies about BIM technology via Revit are scarce in training middle-level workforce higher education institutions. Thus, this study aims to investigate the relevance of BIM technology and offer measures to promote digitalisation in Nigeria’s built environment polytechnic undergraduates via Revit.

Given the unexplored nature of training the middle-level workforce in Nigeria, 37 semi-structured virtual interviews were conducted across Nigeria, and saturation was achieved. The participants were knowledgeable about construction-related BIM. The researchers used a thematic analysis for the collected data and honed them with secondary sources.

Improved visualisation of design, effective and efficient work productivity, automatic design and quantification, improved database management and collaboration and data storage in the centrally coordinated model, among others, emerged as BIM’s benefits. BIM technology via Revit is challenging, especially in Nigeria’s polytechnic education curriculum. The 24 perceived issues were grouped into government/regulatory agencies-related, polytechnic management-related and polytechnic undergraduate students-related hindrances in Nigeria’s built environment.

This study is limited to BIM implications for Nigeria’s built environment polytechnic undergraduates.

This study contributes to the literature paucity in attempting to uncover perceived issues hindering the implementation of BIM technology via Revit in training Nigeria’s built environment polytechnic undergraduates via a qualitative approach.

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.

Despite advancements in construction digitalisation and alternative building technologies, cost overrun is still a challenge in the construction industry. The inflation rate is increasing, especially in developing countries, and is critical in cost overrun matters. It can deviate construction built-up rate components. This may thwart improving construction-related Sustainable Development Goals (SDGs). Studies concerning the impact of the inflation rate on construction-related SDGs are scarce in developing countries, including Nigeria. The study investigated the impact of inflation on Nigeria’s construction projects and their outcome on SDGs and suggested possible ways to improve achievement of construction-related SDGs and their targets.

The researchers employed a qualitative research design. This is because of the study’s unexplored dimension. The researchers engaged 35 participants across major cities in Nigeria via semi-structured virtual and face-to-face interviews. The research utilised a thematic method for collated data and accomplished saturation.

Findings reveal that the impact of inflation on construction projects, if not checked, could hinder achieving construction-related SDGs in Nigeria. This is because of the past three years of hyperinflation that cut across major construction components. It shows that the upward inflation rate threatens achieving construction-related SDGs and proffered measures to mitigate inflation and, by extension, enhance achieving construction-related SDGs. This includes a downward review of the Monetary Policy Rate, control of exchange rate volatility and addressing insecurity to restore FDIs and FPIs confidence.

Besides suggesting possible solutions to mitigate hyperinflation on construction components to improve achieving construction-related SDGs, findings will stipulate government policymakers put measures in place through favourable fiscal and monetary policy implementation and encourage moving from a consumption to a production nation.

Circular economy (CE) is guided by principles, the key being the R-framework. All R-frameworks have a hierarchy. Although several studies have prioritized these principles, there is still an urgent call for country-specific prioritization. This study prioritized circular economy (CE) principles among Ghana's built environment (BE) professionals.

An explanatory sequential mixed methods approach was adopted. Six principles of CE were identified through a review of related literature and incorporated into a questionnaire. In total, 162 questionnaire responses were received. The quantitative data were analyzed through descriptive and inferential analyses. The data were further validated via semi-structured interviews with eight interviewees of different professional backgrounds in the BE.

The findings revealed that BE professionals in Ghana highly perceived CE principles as important. The findings further revealed the order of prioritization of the CE principles as follows: (1) recycle, (2) reuse, (3) repair/remanufacture, (4) renewable energy usage, (5) redesign and (6) reduce. To further elaborate on these prioritized principles via the qualitative phase, the interviewees agreed to and confirmed the importance of the identified principles through their verbatim comments.

Although there is a growing interest in research regarding CE in the Ghanaian construction industry, its principles have yet to be prioritized and ranked by professionals in the Ghanaian construction industry. This study unearths why, in terms of prioritization of the CE principles, the construction industry in Ghana does not follow the well-known hierarchy (i.e. reduce, reuse and recycle) in the order of high to low level of circularity.

This research proposes a novel risk assessment model to elucidate the risk propagation process of industrial safety accidents triggered by natural disasters (Natech), identifies key factors influencing urban carrying capacity and mitigates uncertainties and subjectivity due to data scarcity in Natech risk assessment.

Utilizing disaster chain theory and Bayesian network (BN), we describe the cascading effects of Natechs, identifying critical nodes of urban system failure. Then we propose an urban carrying capacity assessment method using the coefficient of variation and cloud BN, constructing an indicator system for infrastructure, population and environmental carrying capacity. The model determines interval values of assessment indicators and weights missing data nodes using the coefficient of variation and the cloud model. A case study using data from the Pearl River Delta region validates the model.

(1) Urban development in the Pearl River Delta relies heavily on population carrying capacity. (2) The region’s social development model struggles to cope with rapid industrial growth. (3) There is a significant disparity in carrying capacity among cities, with some trends contrary to urban development. (4) The Cloud BN outperforms the classical Takagi-Sugeno (T-S) gate fuzzy method in describing real-world fuzzy and random situations.

The present research proposes a novel framework for evaluating the urban carrying capacity of industrial areas in the face of Natechs. By developing a BN risk assessment model that integrates cloud models, the research addresses the issue of scarce objective data and reduces the subjectivity inherent in previous studies that heavily relied on expert opinions. The results demonstrate that the proposed method outperforms the classical fuzzy BNs.