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In this paper, a systematic review of 284 articles published between 2015 and 2022 and a full-text thematic analysis of 70 selected articles was conducted to catalog and synthesize factors in a framework. Thematic analysis subsequently revealed 18 selective codes under three groups of drivers, barriers, and outcomes. These three groups were explained by four key aspects including organization, stakeholders, infrastructure, and business environment that set a framework for the digitalization of construction. The study finally concluded digitalization strategies with a focus on support mechanisms, government incentives, regulations, the transition from manual labor to technicians, organizational technology culture, methodology development, and innovation processes. Such strategies provide insight into prioritizing resources towards smooth digital transformation in construction businesses.

A two-stage methodology is adopted by undertaking a systematic literature review followed by thematic content analysis. This work concludes with an analysis of remaining research gaps and suggestions for potential future research.

In this paper, a systematic review of 284 articles published between 2015 and 2022 and a full-text thematic analysis of 70 selected articles was conducted to catalog and synthesize variables in a framework. Thematic analysis subsequently revealed a set of variables and factors describing construction digitalization under three groups of success factors, barriers, and outcomes. A critical content analysis of the representative studies was conducted to identify five future research trends as well as associated research gaps and directions on the topic.

This study contributes to practice by providing directions concerning the key strategies and priorities associated with the digitalization of construction businesses.

This ground-breaking research brings to light a classified set of factors that are important for the digitalization of construction businesses. The elicited framework contributes to the current body of knowledge by offering a unique conceptualization of both driving and adverse aspects for the seamless digital transformation of construction.

The prime purpose of the study is to analyse the effect of fintech adoption on the financial well-being of persons with disabilities (PWDs), considering the intervening role of financial behaviour, financial access and financial knowledge.

A self-administered survey schedule collected primary data on fintech adoption and financial well-being among 205 PWD, through snowball sampling from January to May 2023. Researchers used exploratory factor analysis to identify reliable factors and PLS-SEM for testing mediation and research hypotheses.

The study’s outcome found that fintech adoption does not directly impact the financial well-being of PWDs. Instead, the impact on financial well-being is explained by mediating factors like financial access, financial knowledge and financial behaviour. Financial access is the most significant among these mediating factors.

The study demonstrates the significance of mediating factors in comprehending the influence of fintech adoption on financial well-being. These results underpin existing literature on determinants of financial well-being.

Findings evidenced that developing disabled-friendly fintech tools can enhance financial access, reduce inequality and improve the financial well-being of PWDs, which would be helpful for public policymakers.

There has been no comprehensive study conducted on this topic, particularly among PWDs. In the current study, an effort is being made to examine the relative effects of fintech adoption on financial well-being directly and indirectly through mediating variables.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0596

This paper aims to explore whether the key drivers identified in digitalization policies are being prioritized by practitioners in health and social care and to what degree the goals of the policies are being enacted.

The investigation comprised two stages. First, the key drivers of digitalization in the national policies were identified. Second, a survey was disseminated to practitioners within health and social care, asking them to indicate their stance on each key driver (using Likert scales).

The findings of this paper are twofold. First, they demonstrate that practitioners more readily enact the key drivers centered around their everyday operations, such as improving services and care and increasing efficiency. Second, it shows that key drivers of a more rhetorical nature, such as “becoming the best,” do not yield benefits for practitioners.

This paper shows that for policies to have an effect in practice and to contribute to change, they should be rooted in key drivers centered around practitioners’ everyday operations, promoting specificity over abstraction.

While previous studies have involved policy analysis, few studies investigate the enactment of policies, how they are implemented and whether they contribute to changes in practice.

The integration of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) is an emerging model, and the global pressure of various stakeholders raises scepticism of any emerging model towards providing sustainability. Therefore, this research aims to identify and rank the potential significant drivers of an integrated model of I4.0 and TPM to guide manufacturing enterprises towards sustainability.

This research follows a four-phase methodology including literature review and expert opinion to select the sustainability indicators and I4.0-integrated TPM key drivers, followed by employing the analytic hierarchy process approach for weight determination of sustainability indicators. The research then deploys the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to prioritise the I4.0-integrated TPM key drivers based on their effect on various sustainability indicators. Finally, a sensitivity analysis is conducted to check the robustness of the TOPSIS.

The findings establish the top five most influential key drivers of an I4.0-integrated TPM system, which include top management support, formal I4.0 adoption program, mid-management involvement and support, solid TPM baseline knowledge and high engagement of the production team. These top drives can lead manufacturing firms towards sustainability.

The digitalisation of shop floor practices, such as TPM, could be adapted by shop floor managers and policymakers of manufacturing companies to deliver sustainability-oriented outcomes. In addition, this research may aid decision-makers in the manufacturing sector in identifying the most important drivers of I4.0 and TPM, which will assist them in more effectively implementing an integrated system of I4.0 and TPM to practice sustainability. The scope of TPM applicability is wide, and the current research is limited to manufacturing companies. Therefore, there is a huge scope for developing and testing the integrated system of I4.0 and TPM in other industrial settings, such as the textile, food and aerospace industries.

This research makes a first-of-its-kind effort to examine how an I4.0-integrated TPM model affects manufacturing companies' sustainability and how such effects might be maximised.

The purpose of this paper is to provide managers with suitable strategic KPIs in decision-making processes, which aim to integrate the environmental dimension of sustainability at a business level in manufacturing organisations.

In view of the research proposal addressed, semi-structured interviews were conducted, based on theoretical milestones of the performance management system (PMS), with 48 managers that work in Italian manufacturing firms and specialise in green practices.

The authors developed a novel environmentally performed framework to adequately integrate environmental value drivers at a strategic level.

The resulting issues addressed in this paper, and their integration in the business strategy for managing environmental complexity, allows contributing, firstly, to the existing literature by suggesting the relevant key value drivers that need to be mostly studied from an accounting point of view. In addition, from these results, though their experience managers will have up-to-date key measures that could, in the future, help the integration process between the environmental aspect of the sustainability dimension and the PMS.

The results generate a robust roadmap for future analysis in this research field. Accordingly, the paper engenders a strategic alignment in the green transition process, providing scholars and practitioners with a clear view of the key sustainable drivers, metrics and potential solutions that have not been addressed to date.

Lack of appropriate student support and drawbacks in academic progression signify the importance of enhancing assessment and feedback in higher education (HE). Although assessment and feedback are significant in HE, minimal empirical research holistically explores the best practices. This study aims to address the niche and develop a decisive guideline for enhancing assessment setting and feedback provision within HE curricula.

A systematic approach was taken to obtain data for the study: a literature review underpinning the thematic content analysis of study documents, followed by semi-structured interviews. Document analysis contained mid-module reviews/student feedback; rubrics used in assessment; and formative/summative feedback provided for the graded work. Documental analysis informed the key attributes of the semi-structured interview. Interpretive structural modelling (ISM) analysis identified the influence and reliance of each driver.

This study revealed 15 drivers – 4 fundamental, 6 significant and 5 important – for enhancing assessment and feedback. The level partitioning from the ISM analysis established that all assessment and feedback needs to be underpinned by the university policy and fed into the assessment regime and marking scheme. This study identified that National Student Survey results were significantly improved due to implementing said drivers compared with the national and sector benchmarks.

The developed drivers enable the best practices in assessment setting and feedback provision. The level partition diagram can be used as a decisive guideline or a provisional framework in assessment and feedback provision for quality assurance in HE.

This study is one of, if not the only, to develop a guideline for signposting drivers and their influence and reliance to enhance assessment and feedback in a holistic HE setting. The developed drivers and the level partition diagram bring novelty and add to the current body of knowledge.

Construction frameworks are recognised by the UK Government as an integrated procurement path to deliver efficiency, collaboration and sustainability. This research paper aims to develop a performance-driving model for framework procurement to align with the government construction policy objectives.

A quantitative hierarchical regression analysis was conducted to examine the causal relationships between project outcomes and performance drivers. A successive qualitative multiple-case study involving eight typical construction framework projects was examined to further explain casual relationships.

Conclusive results from the quantitative and qualitative analyses validated the performance-driving model, generalising a framework procurement principle that project outcomes of time, cost, quality, sustainability and closer relationships are significantly driven by supplier's task and contextual performance drivers, and client's organisational drivers.

The investigation followed two major public-sector organisations in the UK: infrastructure offices of local authorities and estate offices of universities. Further research should be extended to other public-sector situations to enhance the model further.

Using this model, framework managers can drive project outcomes by applying task and contextual performance drivers in order to select the best suppliers at the procurement phase, and by adopting the client's organisational factors at both procurement and construction monitoring phases.

The empirical evidence supports the use of frameworks by public sector policymakers as a key strategy to develop the performance drivers further and improve efficiency and quality outcomes.

The results will be of value to support the policy of public-sector works organisations contemplating using framework procurement for executing continuing construction activities.

Healthcare property has become an important alternate property sector in recent years for many international institutional investors. The purpose of this paper is to assess the risk-adjusted performance, portfolio diversification benefits and performance dynamics of French healthcare property in a French property portfolio and mixed-asset portfolio over 1999–2020. French healthcare property is seen to have different performance dynamics to the traditional French property sectors of office, retail and industrial property. Drivers and risk factors for the ongoing development of the direct healthcare property sector in France are also identified, as well as the strategic property investment implications for institutional investors.

Using annual total returns, the risk-adjusted performance, portfolio diversification benefits and performance dynamics of French direct healthcare property over 1999–2020 are assessed. Asset allocation diagrams are used to assess the role of direct healthcare property in a French property portfolio and in a French mixed-asset portfolio. The role of specific drivers for French healthcare property performance is also assessed. Robustness checks are also done to assess the potential impact of COVID-19 on the performance of French healthcare property.

French healthcare property is shown to have different performance dynamics to the traditional French property sectors of office, retail and industrial property. French direct healthcare property delivered strong risk-adjusted returns compared to French stocks, listed healthcare and listed property over 1999–2020, only exceeded by direct property. Portfolio diversification benefits in the fuller mixed-asset portfolio context were also evident, but to a much lesser extent in a narrower property portfolio context. Importantly, this sees French direct healthcare property as strongly contributing to the French property and mixed-asset portfolios across the entire portfolio risk spectrum and validating the property industry perspective of healthcare property being low risk and providing diversification benefits in a mixed-asset portfolio. However, this was to some degree to the loss or substitution of traditional direct property exposure via this replacement effect. French direct healthcare property and listed healthcare are clearly shown to be different channels in delivering different aspects of French healthcare performance to investors. Drivers of French healthcare property performance are also shown to be both economic and healthcare-specific factors. The performance of French healthcare property is also shown to be different to that seen for healthcare property in the UK and Australia. During COVID-19, French healthcare property was able to show more resilience than French office and retail property.

Healthcare property is an alternate property sector that has become increasingly important in recent years. The results highlight the important role of direct healthcare property in a French property portfolio and in a French mixed-asset portfolio, with French healthcare property having different investment dynamics to the other traditional French property sectors. The strong risk-adjusted performance of French direct healthcare property compared to French stocks, listed healthcare and listed property sees French direct healthcare property contributing to the mixed-asset portfolio across the entire portfolio risk spectrum. French healthcare property’s resilience during COVID-19 was also an attractive investment feature. This is particularly important, as many institutional investors now see healthcare property as an important property sector in their overall portfolio; particularly with the ageing population dynamics in most countries and the need for effective social infrastructure. The importance of French direct healthcare property sees direct healthcare property exposure accessible to investors as an important alternate real estate sector for their portfolios going forward via both non-listed healthcare property funds and the further future establishment of more healthcare REITs to accommodate both large and small institutional investors respectively. The resilience of French healthcare property during COVID-19 is also an attractive feature for future-proofing an investor’s portfolio.

This paper is the first published empirical research analysis of the risk-adjusted performance, diversification benefits and performance dynamics of French direct healthcare property, and the role of direct healthcare property in a French property portfolio and in a French mixed-asset portfolio. This research enables empirically validated, more informed and practical property investment decision-making regarding the strategic role of French direct healthcare property in a portfolio; particularly where the strategic role of direct healthcare property in France is seen to be different to that in the UK and Australia via portfolio replacement effects. Clear evidence is also seen of the drivers of French healthcare property performance being strongly influenced by healthcare-specific factors, as well as economic factors.

This study aims to identify, review and synthesize existing literature on key theories, drivers and barriers affecting consumer adoption or resistance to artificial intelligence (AI) in the hospitality sector.

This study aims to conduct a complete literature review of the accrued knowledge generated so far on AI in the hospitality sector. To attain the overall objectives of this study, we used the systematic literature review (SLR) method. This method systematically handles the diversity of knowledge in a specific topic to answer precise research questions. It also generates new visions through a synthesis of the literature, to identify the knowledge gaps, set the new directions for the future researcher and provide sufficient guidance to inform the policy and practice.

The findings of this study are presented in three sections, as follows: descriptive analysis, content analysis and synthesized framework. The findings highlighted the state-of-the-art mapping of the existing research in terms of publication frequency over time and across publication outlets, key theories, methods and geographies. In addition, literature on consumer adoption (or resistance) of AI in hospitality is content analyzed to highlight key drivers and barriers. Moreover, this review critically evaluates extant literature and sets future agendas by postulating specific research questions for further knowledge development in this field of study.

The SLR focused on consumer adoption or resistance to use AI in hospitality literature. The future researcher may include additional streams to get better results.

The study findings will help multiple stakeholders to understand the underlying causes of customer resistance or barriers to the intention to use/adopt AI services in the hotel sector. Furthermore, study results will allow them to better analyze the relationship between customer barriers, intents or consumer decision behaviors.

First, this study provides a comprehensive synthesis of the literature on the consumer adoption or resistance of AI in hospitality. This study categorizes the existing diversified literature in two main themes – drivers and barriers – to present a simplistic picture of the existing literature. Second, the review highlights the gaps and limitations in existing research and provides guidance for future scholars. Third, the key contribution of this review is the development of a unified framework on the consumer adoption or resistance of AI in the hospitality sector. That is, this study puts forward the behavioral reasoning theory framework and suggests that future research using this lens will immensely contribute to existing literature. Finally, this study facilitates the practitioners to understand the key motivating and hindering factors affecting the adoption and resistance behavior.

The purpose of this paper is to investigate why multi-tier apparel suppliers integrate social sustainability practices into their supply chains and what barriers these suppliers encounter while embedding social sustainability practices.

This study employs a qualitative research design, drawing on data from semi-structured interviews with 46 owners and managers from 33 multi-tier apparel suppliers in Bangladesh, an important outsourcing hub for the global apparel industry. To corroborate research findings, the views of owners and managers were triangulated by further interviewing 11 key representatives of institutional actors such as third-party auditors, a donor agency, industry associations, regulatory agencies and a non-governmental organisation (NGO).

The authors' findings suggest a range of divergent institutional drivers and barriers – coercive, mimetic and normative – that determine the implementation of multi-tier suppliers' social sustainability practices. The key reported drivers were buyers' requirements, external stakeholders' expectations, top management commitment and competition. Conversely, cost and resource concerns and gaps in the regulatory framework were identified as key social sustainability implementation barriers. In particular, owners and managers of second-tier and third-tier supplier firms experienced more internal barriers such as cost and resource concerns than external barriers such as gaps in values, learning and commitment (i.e. compromise for mutual benefit and non-disclosure of non-compliance) that impeded effective social sustainability implementation.

Social sustainability in supply chain management has received significant attention from academics, business practitioners, governments, NGOs and supranational organisations. However, limited attention has been paid to investigating the drivers and barriers for social sustainability implementation from a developing country's multi-tier supplier perspective. The authors' research has addressed this knowledge gap.

The evidence from the authors' study provides robust support for key assumptions of institutional theory and has useful implications for both managers and policy-makers.

The authors' study contributes to the embryonic research stream of socially sustainable multi-tier supply chain management by connecting it to the application of institutional theory in a challenging institutional context.