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This research explored the storytelling (collection, curation and use) in the Cabrach, a remote Scottish glen. This study aims to capture the methodological process of storytelling and curation of heritage knowledge through the lens of the Cabrach's whisky distilling history, a central part of the area's cultural heritage, tangible and intangible. This research was conceptualised as “telling the story of telling the story of the Cabrach”. It was concerned with how the history, heritage, historiography and testimony associated with the parish could be harvested, made sense of and subsequently used.

The study was epistemological in nature and the research was concerned with how heritage knowledge is gathered, curated and understood. It was built around the collection of knowledge through expert testimony from Colin Mackenzie and Alan Winchester, who have extensively researched aspects of life in the Cabrach. This was done using a series of theme-based but free-flowing conversational workshop involving participants and research team. Issues of trust and authority in the research team were crucial. Data were recorded, transcribed and coded. A conceptual model for heritage storytelling in the Cabrach was developed together with a transferable version for other contexts.

The research was conceived around identifying the stories of the Cabrach and grouping them into cohesive narrative themes focused on the most important aspect of the glen's history (the development of malt whisky distilling). The research showed how all crucial narratives associated with the Cabrach were interconnected with that malt whisky story. It was concerned with identifying broad thematic narratives rather than the specific detailed stories themselves, but also from a methodological perspective how stories around those themes could be collected, curated and used. It presents the outcome of “expert testimony” oral history conversations and presents a conceptual model for the curation of heritage knowledge.

This paper reports on research which focuses on the confluence of those issues of heritage-led regeneration, intangible cultural heritage, as well as how stories of and from, about and for, a distinctive community in North-East Scotland can be collected, curated and displayed. It presents methodological conceptualisations as well as focused areas of results which can be used to create a strong and inclusive narrative to encapsulate the durable sense of place and support the revival of an economically viable and sustainable community.

This conceptual model offers a framework with universal elements (Place, People, Perception) alongside a strong core narrative of storytelling. That core element may vary but the outer elements remain the same, with people and place being omnipresent and the need to build an emotional or visceral connection with visitors being crucial, beyond “telling stories” which might be regarded as parochial or narrowly focused. The model informs how communities and heritage organisations tell their stories in an authentic and proportionate manner. This can help shape and explain cultures and identities and support visitors' understanding of, and connection with, places they visit and experience.

The originality lies in two principal areas, the exploration of the narratives of a singularly distinctive community – the Cabrach – which plays a disproportionately significant role in the development of malt whisky distilling in Scotland; and also in terms of the methodological approach to the collection and curation of heritage storytelling, drawing not on first-hand accounts as in conventional oral history approaches but through the expert testimony of two historical and ethnographic researchers. The value is demonstrating the creation of a conceptual model which can be transferred to other contexts.

Facility management gained profound importance due to the increasing complexity of different systems and the cost of operation and maintenance. However, due to the increasing complexity of different systems, facility managers may suffer from a lack of information. The purpose of this paper is to propose a new facility management approach that links segmented assets to the vital data required for managing facilities.

Automatic point cloud segmentation is one of the most crucial processes required for modelling building facilities. In this research, laser scanning is used for point cloud acquisition. The research utilises region growing algorithm, colour-based region-growing algorithm and Euclidean cluster algorithm.

A case study is worked out to test the accuracy of the considered point cloud segmentation algorithms utilising metrics precision, recall and F-score. The results indicate that Euclidean cluster extraction and region growing algorithm revealed high accuracy for segmentation.

The research presents a comparative approach for selecting the most appropriate segmentation approach required for accurate modelling. As such, the segmented assets can be linked easily with the data required for facility management.

This study aims to introduce and evaluate the COPULA framework, a construction project monitoring solution based on blockchain designed to address the inherent challenges of construction project monitoring and management. This research aims to enhance efficiency, transparency and trust within the dynamic and collaborative environment of the construction industry by leveraging the decentralized, secure and immutable nature of blockchain technology.

This paper employs a comprehensive approach encompassing the formulation of the COPULA model, the development of a digital solution using the ethereum blockchain and extensive testing to assess performance in terms of execution cost, time, integrity, immutability and security. A case analysis is conducted to demonstrate the practical application and benefits of blockchain technology in real-world construction project monitoring scenarios.

The findings reveal that the COPULA framework effectively addresses critical issues such as centralization, privacy and security vulnerabilities in construction project management. It facilitates seamless data exchange among stakeholders, ensuring real-time transparency and the creation of a tamper-proof communication channel. The framework demonstrates the potential to significantly enhance project efficiency and foster trust among all parties involved.

While the study provides promising insights into the application of blockchain technology in construction project monitoring, future research could explore the integration of COPULA with existing project management methodologies to broaden its applicability and impact. Further investigations into the solution’s scalability and adaptation to various construction project types and sizes are also suggested.

This research offers a comprehensive blockchain solution specifically tailored for the construction industry. Unlike prior studies focusing on theoretical aspects, this paper presents a practical, end-to-end solution encompassing model formulation, digital implementation, proof-of-concept testing and validation analysis. The COPULA framework marks a significant advancement in the digital transformation of construction project monitoring, providing a novel approach to overcoming longstanding industry challenges.

This study aims to predict customer churn in resort hotels by calculating the churn probability of repeat customers for future stays in the same hotel brand.

Based on the recency, frequency, monetary (RFM) paradigm, random forest and logistic regression supervised machine learning algorithms were used to predict churn behavior. The model with superior performance was used to detect potential churners and generate a priority matrix.

The random forest algorithm showed a higher prediction performance with an 80% accuracy rate. The most important variables were RFM-based, followed by hotel sector-specific variables such as market, season, accompaniers and booker. Some managerial strategies were proposed to retain future churners, clustered as “hesitant,” “economy,” “alternative seeker,” and “opportunity chaser” customer groups.

This study contributes to the theoretical understanding of customer behavior in the hospitality industry and provides valuable insight for hotel practitioners by demonstrating the methods that facilitate the identification of potential churners and their characteristics.

Most customer retention studies in hospitality either concentrate on the antecedents of retention or customers’ revisit intentions using traditional methods. Taking a unique place within the literature, this study conducts churn prediction analysis for repeat hotel customers by opening a new area for inquiry in hospitality studies.

This study aims to explore the opinions of Built Environment Professionals (BEP) on the usage of fourth-generation digital technologies in the construction industry.

This study adopts a qualitative research approach and conducts semi-structured interviews with Black, Asian and Minority Ethnic (BAME) professionals to explore the adoption and utilisation of fourth-generation digital technologies in the construction industry. The semi-structured interviews allowed the participants to elaborate on their experiences, and thematic analysis was employed to identify and analyse significant themes related to the topic.

Accounts from BAME construction professionals reveal that the increased popularity of fourth-generation digital technologies, also known as Industry 4.0 technologies, does not necessarily result in increased usage. This is because many of these new technologies have not been embraced and are unpopular in certain circles. A more significant revelation is the impact of BAME community settings on determining the career pathways of most individuals, which often do not support the construction or digital technology pathways within the construction industry.

Research targeting ethnic minorities may not necessarily yield a large response due to the sensitivity of the issues raised. However, conducting a nationwide research with a larger sample size drawn from various locations in the UK could achieve more robust findings and uncover additional issues. Meanwhile, the results of this research can serve as a framework for more extensive investigations.

The research offers valuable recommendations to industry and academia regarding the need to address the specific challenges faced by the BAME community in terms of digital technology adoption. These issues are often overlooked in most discussions about digital technology.

The study provides critical recommendations that are relevant to Further and Higher Education (HE) institutions, industries, construction organisations, government bodies, etc. Recommendations include a call for collaboration between educational institutions, industry partners and local communities to facilitate awareness and orientation programmes within the community.

The purpose of this article is to challenge the balanced budget practices of U.S. state governments and offer alternatives that may lead to better fiscal, economic and policy outcomes. We contend that the norm of balance may be leading U.S. states to make fiscal decisions that result in less-than-ideal outcomes, especially during economic downturns.

This is a normative article. We examine the scholarly evidence regarding balanced budget practices to assess the appropriateness of balanced budget norms. We also examine the fiscal rules followed by Eurozone countries to draw potential lessons for U.S. states.

We conclude that state governments should move away from strict norms of budget balance and seek more flexible approaches. We suggest that instead of following strict rules and norms of balance, U.S. states should consider implementing escape clauses, debt and deficit ceilings, and fiscal councils. We also suggest that the Federal Reserve be open to lending directly to states during fiscal crises to ensure that states have access to affordable credit.

The balanced budget norm has become ingrained in U.S. state budgeting practices, so much so that public officials and scholars alike rarely question it. The novel contribution of our article is to question this practice in a systematic way and propose alternative approaches.

Blockchain is a distributed ledger technology that uses cryptography to ensure transmission and access security, which provides solutions to numerous challenges to complex supply networks. The purpose of this paper is to empirically test the impact of blockchain implementation on shareholder value varying from internal and external complexity from the complex adaptive systems (CASs) perspective. It further explores how business diversification, supply chain (SC) concentration and environmental complexity affect the relationship between blockchain implementation and shareholder value.

Based on 138 blockchain implementation announcements of listed companies on the Chinese A-share stock market, the authors use event study methodology to evaluate the impact of blockchain implementation on shareholder value.

The results show that blockchain implementation has a positive impact on shareholder value, and this impact will be moderated by business diversification, SC concentration and environmental complexity. In addition, environmental complexity exerts a moderating effect on SC concentration. In the post hoc analysis, the authors further explore the impact of blockchain implementation on long-term operational performance.

This is the first research empirically examining the effect of blockchain implementation on shareholder value varying from internal and external complexity from the CASs perspective. This paper provides evidence of the different effects of blockchain implementation on short- and long-term performance. It adds to the interdisciplinary research of information systems (IS) and operations management (OM).