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The industrial revolution 4.0 (IR4.0) signifies technological advancements and digitalization. The fragmented and labour-intensive nature of the construction industry inherently possesses difficulties for IR4.0 adoption compared to other industries. This paper aims to investigate the perspectives of quantity surveying students on the challenges of IR4.0 implementation in the construction industry.

A questionnaire survey were distributed to a population of 191 quantity surveying students, with 96 valid responses returned. Descriptive statistics and factor analysis were employed to analyse the collected data.

Factor analysis revealed eight components as the key challenges for IR4.0 implementation, which revolved around resistance to change, data security issues, etc.

The findings could provide a guideline to higher education institutions on certain IR4.0-related areas to be incorporated into the syllabus, in ensuring that the students are equipped with such skills and knowledge, in meeting market demands. The construction stakeholders' could look into the identified challenges for strategizing the organizations in moving towards IR4.0 adoption.

To the best of the authors’ knowledge, this is the first study to investigate quantity surveying students' perspectives on the challenges of IR4.0 implementation in the construction industry by employing factor analysis method. The findings contribute to the body of knowledge in relation to the opinions of a younger generation who has more exposure towards technology on the hindrance of IR4.0 adoption.

We investigate the joint impacts of three trust cues – content, sentiment and helpfulness votes – of online product reviews on the trust of reviews and attitude toward the product/service reviewed.

We performed three studies to test our research model, presenting participants with scenarios involving product reviews and prior users' helpful and unhelpful votes across experimental settings.

A high helpfulness ratio boosts users’ trust and influences behaviors in both positive and negative reviews. This effect is more pronounced in attribute-based reviews than emotion-based ones. Unlike the ratio effect, helpfulness magnitude significantly impacts only negative attribute-based reviews.

Future research should investigate voting systems in various online contexts, such as Facebook post likes, Twitter microblog thumb-ups and up-votes for article comments on platforms like The New York Times.

Our findings have significant implications for voting system-providers implementing information techniques on third-party review platforms, participatory sites emphasizing user-generated content and online retailers prioritizing product awareness and reputation.

This study addresses an identified need; that is, the helpfulness votes as an additional trust cue and the joint effects of three trust cues – content, sentiment and helpfulness votes – of online product reviews on the trust of customers in reviews and their consequential attitude toward the product/service reviewed.

This paper aims to explore challenges and opportunities associated with young carers' employment in Australia.

Using a multi-stakeholder approach, this study captures the reflections of stakeholders (n = 8) and young carers (n = 10) about opportunities for, and experiences of, paid employment for young carers.

Despite many organisations internationally increasingly pushing diversity agendas and suggesting a commitment to equal opportunity experiences, this study found that young carers' work opportunities are often disrupted by their caring role. For young carers to be successful in their careers, organisations need to provide further workplace flexibility, and other support is required to attract and retain young carers into organisations and harness their transferrable skills for meaningful careers.

The paper highlights important implications for human resource management practitioners given the need to maximise the participation of young carers as workers, with benefits for young carers themselves, employers and society.

The research adds to the human resource management and work–family conflict literature in examining young carers through drawing on Conservation of Resources theory to highlight resources invested in caring leads to loss of educational and work experience resources. This leads to loss cycles and spirals, which can potentially continue across a lifetime, further contributing to disadvantage and lack of workplace and societal inclusion for this group of young people.

This paper aims to examine the processes of sustainability reporting assurance (SRA) and the influence they have on shaping perception from disclosures. Given the evidence of inconsistencies and ambiguities in assurance processes, this paper examines how legitimacy is attained and maintained at different stages of SRA.

Evidence collected from 23 semi-structured interviews with assurance providers (APs), consultants, professionals and non-governmental organisations (NGOs) (non-APs) was used to conduct a thematic analysis from the perspectives of interviewees.

APs and non-APs are united in recognising the value of SRA, although, perspectives on transparency between the two groups differ. Experience and industry knowledge are essential to SRA delivery with non-APs preferring accounting APs. Nevertheless, non-APs are concerned about the role of companies in deciding assurance scope, as it can affect scrutiny. APs favour data accuracy (as opposed to data relevance) assurance due to team dynamics and internal review influences, with the latter also restricting assurance innovation. APs are interested in accessing better evidence and stakeholder engagement evaluations. Providing advisory services was not rejected by all APs. The perspectives of APs and non-APs demonstrate how progress in SRA has gained pragmatic legitimacy with noticeable gaps that serve to undermine attainment of moral legitimacy.

SRA is a developing practice that will adopt changes as it continues to mature; some of these changes could impact findings in this research. General perspectives on SRA were sought from interviewees, this affected the ability for an in-depth focus on any of the range of interesting SRA issues that arose over the course of the research. Interviews were conducted with relevant parties in the SRA space that operate in the UK. Perspectives from parties outside the UK were not solicited.

Companies make an important decision to commission SRA. Findings in this research have highlighted specific non-APs issues of concern that can be useful in structuring operations and reporting regimes to facilitate assurance procedures. The findings will also be helpful to APs as they can direct more emphasis on stakeholder concerns towards demonstrating greater stakeholder accountability. Regulatory and standard setters can enact appropriate policies that can potentially drive the practice forward for assessment of cognitive legitimacy.

The findings provide relevant account of stakeholder voices on the quality of corporate disclosures that has a direct effect on the wellbeing of communities and sustainability of societies. Collective stakeholder input on expectations can shape sustainability discourse.

This research demonstrates the applicability of financial audit quality indicators in SRA processes, extends the debate around the effectiveness of new audit fields and highlights the challenges of maintaining legitimacy with different audiences.

The study examines the social and environmental responsibility indicators disclosed by three International Council on Mining and Metals (ICMM) corporate mining members in their social and environmental reporting (SER) from 2006 to 2014. To achieve this aim, the author limits the data two years before (i.e. from 2006 to 2007) and six years after (i.e. from 2009 to 2014) the implementation of the Sustainable Development Framework in the mining sector in 2008.

Using the techniques of content analysis and interpretive textual analysis, this study examines 27 social and environmental responsibility reports published between 2006 and 2014 by three ICMM corporate mining members. The study develops a disclosure index based on the earlier work of Hackston and Milne (1996), together with other disclosure items suggested in the extant literature and considered appropriate for this work. The disclosure index for this study comprised six disclosure categories (“employee”, “environment”, “community involvement”, “energy”, “governance” and “general”). In each of the six disclosure categories, only 10 disclosure items were chosen and that results in 60 disclosure items.

A total of 830 out of a maximum of 1,620 social and environmental responsibility indicators, representing 51% (168 employees, 151 environmental, 145 community involvement, 128 energy, 127 governance and 111 general) were identified and examined in company SER. The study showed that the sample companies relied on multiple strategies for managing pragmatic legitimacy and moral legitimacy via disclosures. Such practices raise questions regarding company-specific disclosure policies and their possible links to the quality/quantity of their disclosures. The findings suggest that managers of mining companies may opt for “cherry-picking” and/or capitalise on events for reporting purposes as well as refocus on company-specific issues of priority in their disclosures. While such practices may appear appropriate and/or timely to meet stakeholders’ needs and interests, they may work against the development of comprehensive reports due to the multiple strategies adopted to manage pragmatic and moral legitimacy.

A limitation of this research is that the author relied on self-reported corporate disclosures, as opposed to verifying the activities associated with the claims by the sample mining companies.

The findings from this research will help future social and environmental accounting researchers to operationalise Suchman’s typology of legitimacy in other contexts.

With growing large-scale mining activity, potential social and environmental footprints are obviously far from being socially acceptable. Powerful and legitimacy-conferring stakeholders are likely to disapprove such mining activity and reconsider their support, which may threaten the survival of the mining company and also create a legitimacy threat for the whole mining industry.

This study innovates by focusing on Suchman’s (1995) typology of legitimacy framework to interpret SER in an industry characterised by potential social and environmental footprints – the mining industry.

Enterprise information systems (EISs) are intricate technological artifacts with wide user base within organizations. While much is known about the adoption and implementation of EISs, little is known about what subsequently follows them, i.e. the assimilation of EISs. This article aims to examine the assimilation of the EISs which is consequential to realizing any benefits from such enterprise technology.

The author conceptually draws on the insights from the expectation confirmation theory, theory of reasoned action, equity theory, and prospect theory to examine the assimilation of the EISs. In doing so, the author generates competing testable hypotheses regarding the relationship between individual users' psychological and social influences through expectation (dis)confirmation and the users' intention to assimilate the EISs.

By conceptually articulating the individual users' psychological and social influences through expectation (dis)confirmation, the author offers a more complete account of the assimilation of EISs, and provide several avenues for future empirical and theoretical research on enterprise technology assimilation.

The extant research that there is on the assimilation of the EISs focuses more on the organizational – as opposed to individual – level determinants of EISs assimilation and largely considers the functional – rather than psychological and social – drivers. This article addresses these important, yet understudied, factors to offer a more nuanced account of EISs assimilation.

The purpose of this study is to evaluate food supply chain stakeholders’ intention to use Industry 5.0 (I5.0) drones for cleaner production in food supply chains.

The authors used a quantitative research design and collected data using an online survey administered to a sample of 264 food supply chain stakeholders in Nigeria. The partial least square structural equation model was conducted to assess the research’s hypothesised relationships.

The authors provide empirical evidence to support the contributions of I5.0 drones for cleaner production. The findings showed that food supply chain stakeholders are more concerned with the use of I5.0 drones in specific operations, such as reducing plant diseases, which invariably enhances cleaner production. However, there is less inclination to drone adoption if the aim was pollution reduction, predicting seasonal output and addressing workers’ health and safety challenges. The findings outline the need for awareness to promote the use of drones for addressing workers’ hazard challenges and knowledge transfer on the potentials of I5.0 in emerging economies.

To the best of the authors’ knowledge, this study is the first to address I5.0 drones’ adoption using a sustainability model. The authors contribute to existing literature by extending the sustainability model to identify the contributions of drone use in promoting cleaner production through addressing specific system operations. This study addresses the gap by augmenting a sustainability model, suggesting that technology adoption for sustainability is motivated by curbing challenges categorised as drivers and mediators.

The advent of artificial intelligence (AI) in the accounting landscape marks a significant shift, promising gains in efficiency and accuracy but also eliciting concerns about job displacement (JD) and broader socio-economic implications. This study aims to provide an in-depth understanding of how AI’s integration in accounting contributes to JD, reshapes decision-making processes and reverberates across economic and social dimensions. It also offers evidence-based policy recommendations to mitigate adverse outcomes.

Leveraging a cross-sectional survey disseminated through Facebook, this research used snowball sampling to target a diverse cohort of accounting professionals. The collected data were subjected to meticulous analysis through descriptive and regression models, facilitated by SmartPLS 4 software.

The analysis revealed a significant correlation between AI’s increasing role in accounting and a heightened rate of JD. This study found that this displacement is not isolated; it has tangible repercussions on decision-making paradigms, economic well-being, professional work dynamics and social structures. These insights corroborate existing frameworks, including, but not limited to, theories of technological unemployment and behavioural adjustments.

Although providing valuable insights, this study acknowledges limitations such as the restricted sample size, the cross-sectional nature of the survey and the inherent biases of self-reported data. Future research could aim to extend these initial findings by adopting a longitudinal approach and potentially integrating external data sources.

As AI technology becomes increasingly ingrained in accounting practices, there is an urgent need for coordinated action among stakeholders. Policy recommendations include focused efforts on talent retention, investment in upskilling programs and the establishment of support mechanisms for those adversely affected by AI adoption.

By synthesising a range of theoretical perspectives, this study offers a comprehensive exploration of AI’s multi-dimensional impacts on the accounting profession. It stands out for its nuanced examination of JD and its economic and social implications, thereby contributing to both academic discourse and policy formulation. This work serves as an urgent call to action, highlighting the need for strategies that both exploit AI’s potential benefits and protect the workforce from its disruptive impact.

Disruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to help shipping companies cope with port disruptions through recovery scheduling.

This paper studies the ship coping strategies for the port disruptions caused by severe weather. A novel mixed-integer nonlinear programming model is proposed to solve the ship schedule recovery problem (SSRP). A distributionally robust mean conditional value-at-risk (CVaR) optimization model was constructed to handle the SSRP with port disruption uncertainties, for which we derive tractable counterparts under the polyhedral ambiguity sets.

The results show that the size of ambiguity set, confidence level and risk-aversion parameter can significantly affect the optimal values, decision-makers should choose a reasonable parameter combination. Besides, sailing speed adjustment and handling rate adjustment are effective strategies in SSRP but may not be sufficient to recover the schedule; therefore, port skipping and swapping are necessary when multiple or longer disruptions occur at ports.

Since the port disruption is difficult to forecast, we attempt to take the uncertainties into account to achieve more meaningful results. To the best of our knowledge, there is barely a research study focusing on the uncertain port disruptions in the SSRP. Moreover, this is the first paper that applies distributionally robust optimization (DRO) to deal with uncertain port disruptions through the equivalent counterpart of DRO with polyhedral ambiguity set, in which a robust mean-CVaR optimization formulation is adopted as the objective function for a trade-off between the expected total costs and the risk.

This study applies the job demands-resources model the conservation of resources theory to explain and examine the impacts of home-work conflict, perceived insufficient organizational support, and perceived social isolation, that is, work-from-home stressors, o

Data were collected from 418 Thai employees who worked from home during the nationwide lockdowns at two time points. The hypotheses were tested and analyzed by means of a confirmatory factor analysis, structural equation modeling, and a bootstrapping procedure.

The results indicate that the three work-from-home stressors significantly cause emotional exhaustion and that these stressors are negatively associated with job embeddedness and life satisfaction via the mediation of emotional exhaustion.

To reduce error in parameter estimation due to self-report data, future research could use a more rigorous longitudinal design with a longer time lag and collect data from multiple sources.

Realizing how critical situations shape the workplace would help organizations understand the issues concerning a remote work approach and create more applicable interventions to improve employees' retention and wellbeing.

This study reinforces the application of COR in times of crisis and extends the traditional JD-R model beyond the normal work context.