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Engaging with heritage to support mental health and wellbeing has become a focus of research and policy, more recently moving towards social prescription of heritage interventions. While there are benefits to active participation, there are potential risks to those taking part and to the non-renewable historic remains and landscape that form the core of these projects. The purpose of the current research paper was to develop best practice guidelines for organisations offering heritage projects as interventions for people who live with mental health issues to protect both participants and heritage.

There were two research phases; a Sandpit with World Café discussions to produce a set of research priorities, and a Delphi Consultation, using three questionnaires distributed over six months, to develop best practice guidelines. The panel in both phases comprised experts through lived experience, policy, practice and research.

The Authentic and Meaningful Participation in Heritage or Related Activities (AMPHORA) guidelines cover three stages: project development, project delivery and project follow-up, with a set of action points for each stage. Of particular importance was authentic participation and expertise to ensure appropriate management of heritage/ historic environment assets and support for participants.

The AMPHORA guidelines can assist all organisations in the delivery of safe projects that support the mental health of those involved, as well as enhancing and protecting the historic environment.

To the best of the authors’ knowledge, these are the first research-led guidelines that help heritage organisations support those living with mental health issues.

The purpose of this paper is to provide an integrative picture of the state of the art of the literature on digitalisation of small and medium-sized enterprises (SMEs) as an enabler for their internationalisation process and as a comprehensive view of the specific domains impacted by digital technologies as well as their repercussions on the international outreach.

A systematic review which leverages a descriptive analysis of extant literature and an axial coding technique has been conducted to shed light on the current knowledge and to identify primary research areas and future research lines.

The research indicates that digitalisation impacts the internationalisation of SMEs in three specific domains: (1) internationalisation through the adoption of information and communication technologies (ICT) technologies and e-commerce platforms; (2) international expansion through the digitalisation of value chain activities and (3) international outreach through knowledge acquisition on digital platforms.

The value of this study is threefold. First, the authors attempt to systematically review the literature on SMEs digitalisation and internationalisation and provide a holistic perspective on the intertwining of these two research streams. Second, the authors propose a novel conceptualisation on the dimensions of SMEs digitalisation as enablers to internationalisation. Third, the authors put forward promising future lines of research.

1. Digitalisation represents a pivotal strategy that allows companies to build new strategic capabilities and is a propeller for SMEs internationalisation.

2. Through e-commerce, SMEs could compete at the same level of multinational companies but enduring lower costs of expansion.

3. Digital platforms allow SMEs to enhance the learning processes about international markets through an immediate access to relevant information.

4. Digital entrepreneurship has enabled SMEs to develop new configurations of value chain activities, evolving their business model or reaching new markets.

5. SMEs are changing the “business as usual” paradigm offering digital tools to build modular architectures that are scalable and agile in their evolution ability.

Digitalisation represents a pivotal strategy that allows companies to build new strategic capabilities and is a propeller for SMEs internationalisation.

Through e-commerce, SMEs could compete at the same level of multinational companies but enduring lower costs of expansion.

Digital platforms allow SMEs to enhance the learning processes about international markets through an immediate access to relevant information.

Digital entrepreneurship has enabled SMEs to develop new configurations of value chain activities, evolving their business model or reaching new markets.

SMEs are changing the “business as usual” paradigm offering digital tools to build modular architectures that are scalable and agile in their evolution ability.

The relevance of analytics to the healthcare supply chain is increasing with emerging trends and technologies. This study examines how analytics are used in the healthcare supply chain in the “new normal” environment.

A systematic literature review was conducted by extracting research articles related to analytics in the healthcare supply chain from Scopus. The author used a hybrid review approach that combines bibliometric analysis with a theories, contexts, characteristics, and methodology (TCCM) framework-based review to identify various themes of analytics in the healthcare supply chain.

The hybrid review strategy yielded results that focus on prevalent theories, contexts, characteristics, and methodologies in the field of healthcare supply chain analytics. Future research should explore the resulting antecedents, decision-making processes and outcomes (ADO) framework, which integrates technological, economic, and societal concerns and outcomes. Future research agendas could also seek to apply theoretical perspectives in the field of analytics in the healthcare supply chain.

The result of a review of selected studies adds to the current body of work and contributes to the growth of research in the field of analytics in the healthcare supply chain. It also provides new directions to healthcare supply chain managers and academic scholars.

In Africa, recent data show that Nigeria is the second top remittance recipient behind Egypt, but welfare seems deteriorating. Most related reviewed literature is micro-based with surveys, giving credence to the dearth of macro-based literature whose gap this study attempted to fill. Thus, the main purpose of this study is to examine remittance flows and its welfare implications in Nigeria.

The study used quarterly data (1980Q1–2020Q4) from World Development Indicators (2020) and applied the dynamic ordinary least squares (DOLS) model.

Remittance flows were found to be significantly improving the welfare of Nigerians by about 0.04% for a percentage remittance increase. Financial sector development results show that while loans decrease welfare per individual significantly by 0.25% given a 1% increase in the loans accessible by the private sector, a percentage increase in broad money supply in circulation raises welfare per individual significantly by about 0.43%.

Since remittance is found to improve welfare, the study recommends that relevant stakeholders should endeavor to eliminate all form of bottlenecks (payment delays, remitting costs, transfer delays, poor policies and policy inconsistencies) inherent in remitting funds back to Nigeria. The implication of this is that if the impediments are minimized, remittances are bound to rise which will ultimately lead to improved welfare.

The existing literature revealed that there exists very limited or no macro-based study in this context, hence this novelty study.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.

The purpose of this research is to investigate the effects of service recovery experiences on customer engagement in negative word-of-mouth (WOM) in the hotel industry and explore the psychological motives and mediating mechanisms driving consumer behavior.

A scenario-based experimental design on Qualtrics was used, with a pre-test (N = 200). The main study data were collected using Amazon's Mechanical Turk platform.

Findings reveal that negative service experiences lead to higher engagement in negative WOM compared to positive and satisfactory recovery service experiences. Even well-executed recovery efforts may not completely eliminate negative WOM. The mediating role of emotional responses is substantiated, as heightened negative service experiences result in more intense negative emotional responses, leading to increased engagement in negative WOM.

The study emphasizes the importance of service recovery strategies and the need for businesses to consistently strive for exceptional service quality. It also highlights the complexity of customer reactions to service experiences, suggesting that further research is needed to explore the factors that minimize negative WOM across various service contexts.

This research paper aims to examine consumers' perceptions and behaviours towards “pre-loved luxury fashion products” and focusses on analysing the moderating influence of consumers' attitude strength. Additionally, it investigates the impact of desirability in sustainable luxury experiences (LEs) on consumers' purchase intentions (PIs). The study draws inspiration from the Norm Activation Model theory and operationalises attitude strength using the Elaboration Likelihood Model theory.

Purposive sampling technique was employed to collect 317 useable samples from respondents who had previously purchased or intended to purchase pre-loved luxury fashion goods. SPSS and AMOS version 25 was used for data analysis.

The findings reveal that consumers' environmental concern influences their intention to purchase pre-loved luxury fashion products. Furthermore, sustainable LE acts as a significant mediator in this relationship. The study also demonstrates that the intention to purchase pre-loved luxury fashion products is strengthened when consumers possess a strong attitude towards them.

Luxury marketers can strategise accordingly to motivate consumers to purchase pre-loved luxury fashion products by resonating with their cultural correlates through persuasive advertising to favourably affirm their attitude towards pre-loved luxury fashion products.

This study contributes to the literature by addressing the unresolved area of PIs for pre-loved luxury fashion products, considering the moderating role of attitude strength in emerging markets. It highlights the significance of advocating and promoting pre-loved luxury fashion products and provides valuable insights for luxury marketers.

The purpose of this study is to explore the experiences of those volunteering within a restorative justice service thus enabling an insight into their perceptions of the different methods used, their beliefs about restorative justice effectiveness, and its place within the criminal justice system. The study also sought to identify any challenges and positive experiences the participants encountered during their role as volunteers, with volunteering during the COVID-19 pandemic explored specifically.

Data was collected from the participants (n = 5) via semi-structured interviews and analysed using thematic analysis, thus enabling patterns within the experience of the volunteers to be identified.

A prior understanding and interest in restorative justice was evident within the data, with participants demonstrating a preference for direct, face-to-face mediation. The perceived lack of support from external agencies was discussed along with the role of education in their volunteering experience. Finally, it was acknowledged that although face-to-face practice was deemed the most effective overall, certain practices adopted during COVID-19 enabled aspects of the role to be carried out more efficiently and equally as effectively.

The findings from this study draw out real-world implications, producing tangible action points for restorative justice services. Some tentative suggestions for future practice are outlined.

The volunteers’ role within restorative justice is often overlooked within the literature (Paul and Borton, 2013) and time constraints can add additional barriers to a hard-to-reach population. However, volunteers play a vital role in restorative justice. By exploring and listening to the volunteers’ experience, this study expands an additional strand within the literature in terms of what makes restorative justice effective and the challenges that are faced from a volunteer perspective.

The phenomenon of delayed payment to contractors, particularly in the construction industry, is a vital one and has implications for the health of economies of both developing and developed countries. However, the knowledge of this phenomenon seems patchy and scattered. This paper aims to provide a comprehensive overview of the knowledge on the subject matter with directions for future research.

A systematic literature review coupled with a scientometric analysis was used to identify the main strands of delayed payment to contractor research as a basis for qualitative analysis and directions for future investigations.

Current trends of delayed payment to contractor research are categorised into five broad themes, namely: causes, effects, mitigation measures, ethical and law and regulatory issues. On the basis of these themes, directions for future research are proffered.

To the best of the authors knowledge, this is the first attempt at providing a comprehensive and an integrated knowledge on delayed payment to contractor research with pointers for further investigation and policy directions.

This research aims to extract Industry 4.0 technological building blocks (TBBs) capable of value generation in collaborative consumption (CC) and the sharing economy (SE). Furthermore, by employing a mixed methodology, this research strives to analyse the relationship amongst TBBs and classify them based on their impact on CC.

Due to the importance of technology for the survival of collaborative consumption in the future, this study suggests a classification of the auxiliary and fundamental Industry 4.0 technologies and their current upgrades, such as the metaverse or non-fungible tokens (NFT). First, by applying a systematic literature review and thematic analysis (SLR-TA), the authors extracted the TBBs that impact on collaborative consumption and SE. Then, using the Bayesian best-worst method (BBWM), TBBs are weighted and classified using experts’ opinions. Eventually, a score function is proposed to measure organisations’ readiness level to adopt Industry 4.0 technologies.

The findings illustrated that virtual reality (VR) plays a vital role in CC and SE. Of the 11 TBBs identified in the CC and SE, VR was selected as the most determinant TBB and metaverse was recognised as the least important. Furthermore, digital twins, big data and VR were labelled as “fundamental”, and metaverse, augmented reality (AR), and additive manufacturing were stamped as “discretional”. Moreover, cyber-physical systems (CPSs) and artificial intelligence (AI) were classified as “auxiliary” technologies.

With an in-depth investigation, this research identifies TBBs of Industry 4.0 with the capability of value generation in CC and SE. To the authors’ knowledge, this is the first research that identifies and examines the TBBs of Industry 4.0 in the CC and SE sectors and examines them. Furthermore, a novel mixed method has identified, weighted and classified pertinent technologies. The score function that measures the readiness level of each company to adopt TBBs in CC and SE is a unique contribution.