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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.

To cope successfully with the pressures imposed by a devastating pandemic and other challenges, companies and policymakers need to look at how they conceptualize, define, measure and operationalize “value”. This paper aims to support this conversation.

This study presents a historical review of how the value construct has been conceptualized over time, demonstrating that its history is one of tension and debate with conceptualizations swinging between objective (i.e. the value of something exists independent of the observers) and subjective (i.e. the value of something depends on the personal response of the observer to what is being considered) views over time.

This paper outlines the implications to researchers of value’s low construct clarity, offering suggestions designed to exploit rather than ignore the duality of the value construct. Instead of thinking of the value construct as being subjective or objective, this study recommends that scholars consider value’s objectivity and subjectivity as being interrelated and complementary. The paper recommends that researchers use both quantitative and qualitative methodologies in studying this construct.

A major limitation of this paper is the word count limitation restricting the extent to which this paper could explore a more comprehensive list of the conceptualizations of value throughout history.

This paper presents practitioners with a nuanced understanding of value that should assist those interested in examining the worth of investments with observable expenses but less quantifiable outputs.

The authors have not found a similar analysis of the various conceptualizations of value.

Ahmet Kuru, in his book, suggests that the explanation for the lack of social and political development in the modern world can be traced back to a historical ‘state-ulama alliance’ from the 11th-century Saljuq empire or earlier. From the perspective of an historian, however, this dating displays some empirical problems. It is certain that the state eventually did gain the upper hand over the Muslim intellectuals, at least in the centre of the Ottoman empire. But the process to that point was different. In this comment, a different explanation is proposed that points instead to two crucial factors: the loss of a homogeneous Muslim state with the fall of the caliphate, and the rise of a unified Muslim world, an umma, through the independence, not subservience, of the class of scholars in the mediaeval period of Islam. Thus, a model is proposed that focuses on two turning points: the replacement of the effective caliphate with a fractious system of sultanates in the mid-tenth century, coinciding with the solidification of Islamic thought in a more strictly regulated form both in theology, law and in Sufism. The second moment is ca. 1500, when the period of political fragmentation comes to an end with the Ottoman state unifying the Middle East, flanked by Morocco and Iran, while challenges to the religious orthodoxy begin to grow at the margins. Such a model thus sees the ulama as actors for change as well as for orthodoxy throughout Muslim history, responding to changing developments in social and political contexts.

This paper provides practical advice for archaeologists and heritage specialists wishing to use ML approaches to identify archaeological features in high-resolution satellite imagery (or other remotely sensed data sources). We seek to balance the disproportionately optimistic literature related to the application of ML to archaeological prospection through a discussion of limitations, challenges and other difficulties. We further seek to raise awareness among researchers of the time, effort, expertise and resources necessary to implement ML successfully, so that they can make an informed choice between ML and manual inspection approaches.

Automated object detection has been the holy grail of archaeological remote sensing for the last two decades. Machine learning (ML) models have proven able to detect uniform features across a consistent background, but more variegated imagery remains a challenge. We set out to detect burial mounds in satellite imagery from a diverse landscape in Central Bulgaria using a pre-trained Convolutional Neural Network (CNN) plus additional but low-touch training to improve performance. Training was accomplished using MOUND/NOT MOUND cutouts, and the model assessed arbitrary tiles of the same size from the image. Results were assessed using field data.

Validation of results against field data showed that self-reported success rates were misleadingly high, and that the model was misidentifying most features. Setting an identification threshold at 60% probability, and noting that we used an approach where the CNN assessed tiles of a fixed size, tile-based false negative rates were 95–96%, false positive rates were 87–95% of tagged tiles, while true positives were only 5–13%. Counterintuitively, the model provided with training data selected for highly visible mounds (rather than all mounds) performed worse. Development of the model, meanwhile, required approximately 135 person-hours of work.

Our attempt to deploy a pre-trained CNN demonstrates the limitations of this approach when it is used to detect varied features of different sizes within a heterogeneous landscape that contains confounding natural and modern features, such as roads, forests and field boundaries. The model has detected incidental features rather than the mounds themselves, making external validation with field data an essential part of CNN workflows. Correcting the model would require refining the training data as well as adopting different approaches to model choice and execution, raising the computational requirements beyond the level of most cultural heritage practitioners.

Improving the pre-trained model’s performance would require considerable time and resources, on top of the time already invested. The degree of manual intervention required – particularly around the subsetting and annotation of training data – is so significant that it raises the question of whether it would be more efficient to identify all of the mounds manually, either through brute-force inspection by experts or by crowdsourcing the analysis to trained – or even untrained – volunteers. Researchers and heritage specialists seeking efficient methods for extracting features from remotely sensed data should weigh the costs and benefits of ML versus manual approaches carefully.

Our literature review indicates that use of artificial intelligence (AI) and ML approaches to archaeological prospection have grown exponentially in the past decade, approaching adoption levels associated with “crossing the chasm” from innovators and early adopters to the majority of researchers. The literature itself, however, is overwhelmingly positive, reflecting some combination of publication bias and a rhetoric of unconditional success. This paper presents the failure of a good-faith attempt to utilise these approaches as a counterbalance and cautionary tale to potential adopters of the technology. Early-majority adopters may find ML difficult to implement effectively in real-life scenarios.

Unlike many high-profile reports from well-funded projects, our paper represents a serious but modestly resourced attempt to apply an ML approach to archaeological remote sensing, using techniques like transfer learning that are promoted as solutions to time and cost problems associated with, e.g. annotating and manipulating training data. While the majority of articles uncritically promote ML, or only discuss how challenges were overcome, our paper investigates how – despite reasonable self-reported scores – the model failed to locate the target features when compared to field data. We also present time, expertise and resourcing requirements, a rarity in ML-for-archaeology publications.

The 170-year-old Master in Business Administration (MBA) program is becoming obsolete and inefficient to address today's real-world problems, and is facing mounting criticism from business scholars, management deans, and academic scholars alike. Reviewing major criticisms, this chapter suggests a new design for the MBA program that will not only address the criticisms but also accept a paradigm shift that will spearhead it in coming decades. The redesigned MBA “structure” proposes a four-semester full-time program, during which each semester delves into deeper marketplace problems of increasing complexity (i.e., from simple to complex to unstructured to wicked problems) and deals with these problems with new levels of critical thinking skills and ethical reasoning processes tempered by corresponding entrepreneurial knowledge, skills, and values. The “content” of the redesigned program is anchored around five major themes of business learning: namely, intrinsic motivation management, creativity and innovation management, productivity management, revenue management, and eco-sustainability management, each geared to generate professional entrepreneurial knowledge, and skills and values urgently needed today. Numerous beneficial features of this newly redesigned integrated business management program (MBA) are also discussed.

The purpose of this conceptual article is to examine the role of villainification and heroification in social studies through critically analyzing the author’s place-based encounters with three civil war narratives.

The article describes the author’s critical reflections on three narratives involving confederate figures and examines theoretical and pedagogical implications.

The article introduces a spectrum of ethical judgments which plots villainification and heroification on opposing ends. The author advocates for more nuanced ethical judgments that contextualize decisions as understandable or defensible based on evidence. The term understandable reflects a concept of being able to explain (i.e. demonstrate understanding) why a curricular figure made certain choices without agreeing with or supporting those choices. The term defensible denotes the existence of evidence that provides a rationale for a choice such that the person making the ethical judgment would feel comfortable making (i.e. defending) the same choice.

The article introduces a theory of nuanced ethical judgments in social studies that maps onto existing literature on heroification, villainification and place-based education. Pedagogical implications for social studies education are also identified.

Starting from the status quo, the paper outlines perspectives and challenges for the connection and interlinking of digitised and digital archival data. The following topics are addressed: Where are fields of action and what are the means of archives? Which functional and technical requirements are to be considered, and what is the role of portal infrastructures linking together various different institutions?

Considering needs of users and general framework conditions, the paper examines new approaches emerging in Germany. It outlines recent projects and considerations aiming to improve services and visibility of archives within the national data infrastructure in Germany.

Cross-connections are no new phenomenon, but change their appearance significantly in a digital context. In this respect, both smaller and bigger archives profit from participation in larger digital networks. Furthermore, archives need to keep in mind to reflect the quality of their digital (meta)data regularly and to offer or join systems that functionally and technically support cross-connection and interlinking of data.

The paper endeavours to show the importance of digital cross-connections and the role of portal infrastructures for visibility, online-distribution and use of digital archival metadata and data.

The use of social media is an integral part of modern life, yet the impact of social media on creativity is a paradox. Drawing on the conservation of resources theory, the authors propose that social media, as an ecological condition, both nurture and deplete resources. Accordingly, the authors investigated two inconsistent mechanisms: creative self-efficacy and ego depletion.

Study 1 established the within-person effects of social media use on creativity by tracking 64 college students for five working days. Using a sample of 493 employee–leader-matched dyads in a national bank, Study 2 tested the entire model. Study 3 is a follow-up experiment based on a sample of 160 participants.

The results consistently showed that: (1) social media use had a positive impact on creativity in general; (2) social media use increased ego depletion and creative self-efficacy, which were two inconsistent mediators; (3) hedonic use of social media reduced the negative impact of cognitive use of social media on ego depletion.

This research sheds new light on the paradox between social media use and creativity and highlights the benefits of the balanced use of social media features. This research has implications for creative stimulation and job design in digital contexts.

The purpose of the paper is the identification of the main factors affecting the cost of urban air mobility (UAM) based on results of ASSURED-UAM project. These factors can be found among such cost areas as investments (infrastructure, aircraft), operational, energy, end of life, delay and environmental. Once determined, they can be of great value for all UAM stakeholders, including manufacturers, urban planners and air service providers.

The obtained results were based on the outcomes of ASSURED-UAM project. Having the information about the magnitude of each cost category, we were able to identify the most costly factors of UAM. As a result, it was possible to suggest feasible cost reduction means.

For each cost category, there is the possibility to lower its value among the total cost of UAM. Each cost category has its own cost reduction means. It is vital however that the obtained results depend strongly on the assumptions made at the beginning of cost calculations.

The value of this paper is the identification of key UAM costs reduction means which may be found beneficial for all UAM stakeholders involved in the development of UAM infrastructure and services.