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Although there is a growing body of literature on how celebrity involvement impacts the effectiveness of destination marketing, the underlying mechanisms of that relationship are still underexplored. Based on the affect transfer and meaning transfer theories, this study aims to examine the impact of celebrity attachment on customer delight toward K-culture and K-culture attachment, affective and cognitive images of Korea, and the intention to visit Korea.

Online survey data were collected from 2,614 US residents, representing various demographic characteristics. For the data analysis, the partial least squares-structural equation modeling was conducted to evaluate the structural model and test the hypotheses.

The results showed that celebrity attachment is positively related to customer delight toward K-culture and K-culture attachment, which, in turn, positively influences affective and cognitive images of Korea. Additionally, K-culture attachment positively influences cognitive and affective images of Korea, which are positively related to the intention to visit Korea.

By using the affect transfer theory and meaning transfer theory, this study provides valuable insights into how consumer’s attachment to celebrities has spillover effects on the decision-making process. This study also adds a new concept, customer delight connected to cultural experience, in the context of destination marketing.

By understanding the importance and influence of people’s intimacy with media characters, practitioners can apply parasocial relationship theory, affect transfer theory and meaning transfer theory to their marketing strategies.

As one of the few empirical studies that examines the impact of celebrity attachment on consumers’ perceptions and behaviors, this study can make significant contributions to the destination marketing literature.

In recent years, there has been a growing interest in the potential of data analytics to enhance project delivery. Yet many argue that its application in projects is still lagging behind other disciplines. This paper aims to provide a review of the current use of data analytics in project delivery encompassing both academic research and practice to accelerate current understanding and use this to formulate questions and goals for future research.

We propose to achieve the research aim through the creation of a systematic review of the status of data analytics in project delivery. Fusing the methodology of integrative literature review with a recently established practice to include both white and grey literature amounts to an approach tailored to the state of the domain. It serves to delineate a research agenda informed by current developments in both academic research and industrial practice.

The literature review reveals a dearth of work in both academic research and practice relating to data analytics in project delivery and characterises this situation as having “more gap than knowledge.” Some work does exist in the application of machine learning to predicting project delivery though this is restricted to disparate, single context studies that do not reach extendible findings on algorithm selection or key predictive characteristics. Grey literature addresses the potential benefits of data analytics in project delivery but in a manner reliant on “thought-experiments” and devoid of empirical examples.

Based on the review we articulate a research agenda to create knowledge fundamental to the effective use of data analytics in project delivery. This is structured around the functional framework devised by this investigation and highlights both organisational and data analytic challenges. Specifically, we express this structure in the form of an “onion-skin” model for conceptual structuring of data analytics in projects. We conclude with a discussion about if and how today’s project studies research community can respond to the totality of these challenges. This paper provides a blueprint for a bridge connecting data analytics and project management.

Luxury consumption has evolved, and two important reasons behind the change include globalization and the COVID-19 crisis. These factors have led to the rise of new luxury consumption, which is different from traditional luxury consumption. This study examines how consumers’ identities shape their intentions to consume traditional luxury and new luxury brands.

The theoretical underpinnings of the schema congruity theory and heuristic systematic framework were applied to understand the role of identities in determining consumers’ regulatory focus, price luxuriousness inference and preference for traditional and new luxury brands.

Findings suggest that the global identity of consumers shapes their promotion focus and price luxuriousness inferences. However, their local identities induce a prevention goal. Consumers with such a goal are unlikely to make price luxuriousness inferences. Further, these inferences lead to the choice of traditional luxury over new luxury brands. The results also establish the moderating effects of consumer flexibility.

The extant literature is inconclusive on the role of globalization in luxury consumption and ignores new luxury brands. The current study shows the impact of identities and regulatory focus on traditional and new luxury consumption. The findings also indicate consumers’ regulatory focus and price luxuriousness inference as the reasons behind the influence. The paper also implies that consumers open to renting, sharing or buying second-hand goods will prefer new luxury over traditional luxury brands.

The compliance checking of Building Information Modeling (BIM) models is crucial throughout the lifecycle of construction. The increasing amount and complexity of information carried by BIM models have made compliance checking more challenging, and manual methods are prone to errors. Therefore, this study aims to propose an integrative conceptual framework for automated compliance checking of BIM models, allowing for the identification of errors within BIM models.

This study first analyzed the typical building standards in the field of architecture and fire protection, and then the ontology of these elements is developed. Based on this, a building standard corpus is built, and deep learning models are trained to automatically label the building standard texts. The Neo4j is utilized for knowledge graph construction and storage, and a data extraction method based on the Dynamo is designed to obtain checking data files. After that, a matching algorithm is devised to express the logical rules of knowledge graph triples, resulting in automated compliance checking for BIM models.

Case validation results showed that this theoretical framework can achieve the automatic construction of domain knowledge graphs and automatic checking of BIM model compliance. Compared with traditional methods, this method has a higher degree of automation and portability.

This study introduces knowledge graphs and natural language processing technology into the field of BIM model checking and completes the automated process of constructing domain knowledge graphs and checking BIM model data. The validation of its functionality and usability through two case studies on a self-developed BIM checking platform.

Aversion linked to disgust and neophobia is the primary reason for human reluctance towards edible insects as a sustainable food source. Stimulating positive emotions may overcome these mental barriers. Cute visuals and claims on product packaging can trigger positive affective responses in consumers whilst modulating taste expectations. This study investigated how these elements influence emotions, perceptions and attitudes towards insect-based foods.

An online cross-cultural study involving French (n = 747) and Colombian (n = 695) consumers was conducted using two insect-based products: chips (hedonic) and bread (functional). Ten visual packaging variations were created per product, emphasising palatability, sustainability, nutrition and popularity (plus a control: no claim) affixed to the image of a cute anthropomorphic cricket or its silhouette. Visual appreciation and associations were assessed along with the participants' degree of food variety seeking, familiarity with entomophagy and openness to consuming edible insects.

Differences were reported in emotions, perceptions and attitudes based on the combination of packaging elements, product type and consumer segments. The findings suggest that food marketers should use cute insect depictions linked to palatability-focussed claims to alleviate young French adults' reluctance towards insect-based foods (IFs). Colombians responded better to pro-social claims and neutrally to cuteness.

The results should be valuable to stakeholders seeking to enhance food marketing strategies related to IFs amongst target consumer segments.

This study is the first to assess how baby schema cuteness induces emotional changes towards IFs and how it affects perceptions and attitudes amongst distinct populations and age segments.

Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team interacts when making BMI decisions. The paper also investigates how group biases and board members’ risk willingness affect this process.

Empirical data were collected through 26 in-depth interviews with German managing directors from 13 companies in four industries (mobility, manufacturing, healthcare and energy) to explore three research questions: (1) What group effects are prevalent in BMI group decision-making? (2) What are the key characteristics of BMI group decisions? And (3) what are the potential relationships between BMI group decision-making and managers' risk willingness? A thematic analysis based on Gioia's guidelines was conducted to identify themes in the comprehensive dataset.

First, the results show four typical group biases in BMI group decisions: Groupthink, social influence, hidden profile and group polarization. Findings show that the hidden profile paradigm and groupthink theory are essential in the context of BMI decisions. Second, we developed a BMI decision matrix, including the following key characteristics of BMI group decision-making managerial cohesion, conflict readiness and information- and emotion-based decision behavior. Third, in contrast to previous literature, we found that individual risk aversion can improve the quality of BMI decisions.

This paper provides managers with an opportunity to become aware of group biases that may impede their strategic BMI decisions. Specifically, it points out that managers should consider the key cognitive constraints due to their interactions when making BMI decisions. This work also highlights the importance of risk-averse decision-makers on boards.

This qualitative study contributes to the literature on decision-making by revealing key cognitive group biases in strategic decision-making. This study also enriches the behavioral science research stream of the BMI literature by attributing a critical influence on the quality of BMI decisions to managers' group interactions. In addition, this article provides new perspectives on managers' risk aversion in strategic decision-making.

The purpose of the study is to compare methodologies for mapping a historic building, with image capture by smartphones and drones, using photogrammetric techniques for three-dimensional (3D) modeling of the structure. Processes and products are also analyzed, as well as possibilities for storing and visualizing data for structuring a cadastre of historical and artistic heritage are studied.

For mapping with smartphones, the overlapping of photographs was guaranteed, with data acquisition using three different cameras, on the same date as the aerial survey. The models were made from different combinations of camera use. For storage, a conceptual model based on ISO 19.152:2012 is proposed, which was implemented in the MongoDB, resulting in a database for storage. The visualization was carried out on the Cesium ion platform.

The results indicate that the terrestrial 3D reconstruction using smartphones is an efficient alternative to the historical and artistic cadastre, presenting texture quality superior to the aerial survey in a shorter production time. When dealing with the conceptual model, the LADM (Land Administration Domain Model) standardization guarantees interoperability and facilitates data exchange. In addition, it proved to be flexible for the creation of thematic profiles, supporting their effective storage. The insertion of data in the visualization platform was simple and effective, and it even generated sharing links for visualization of the models.

The study analyses a low-cost method with the use of easily accessible devices, with a combination of methodologies and applied techniques. The data storage and visualization method is also simple and flexible, suitable for application in the cadastre of historical heritage.

This study seeks to investigate how managerial assumptions shape international market orientation (IMO) and how IMO, in turn, affects the performance of small and medium-sized enterprises (SMEs), drawing from cognitive theory and the resource-based view (RBV) to provide the theoretical framework.

The study focuses on the relatively unexplored domain of small and medium-sized enterprises (SMEs) in Japan. A survey was developed and tested using data from 303 Japanese SMEs. The study model was subsequently analyzed using the partial least squares (PLS) technique.

The study reveals a nuanced relationship between managerial frames of reference (FoRs) and IMOs. The results confirmed notable congruence between interfunctional market orientation and managers who exhibit a political FoR. They also revealed a positive correlation between professional FoR managers and customer market orientation. Additionally, the findings showed that entrepreneurial FoR managers displayed a significant association with competitive market orientation and Bureaucratic FoR matched with the three types of IMO. Finally, the results indicate that all three forms of IMO have a substantial impact on performance, albeit to varying degrees.

The applicability of our results to multinational corporations (MNCs) has not been evaluated. Since the primary focus was to identify the types of associations among FoR and IMO, the causal pathways and explanatory factors that underpinned these observed relationships were not examined in this study. Additionally, due to the geographical concentration of our sample in Japan, we were unable to conduct tests on the suggested model in other countries to validate and potentially generalize the research findings.

By developing an implicit understanding of the market orientation fit within the organization’s FoR, managers can enhance their understanding of competitors' activities and enable them to respond with greater efficiency.

To the authors’ knowledge, this is one of the rare papers that inspect the relationship between International market orientations and managerial assumptions as well as their effect on performance.

This study aims to integrate entrepreneurship theories and acculturation perspectives into a unified lens to understand opportunity development by transnational entrepreneurs (TNEs).

This study uses a conceptual method, considering how acculturation strategies of TNEs influence cross-cultural arbitrage.

We develop six propositions that define how acculturation strategies relate to different levels of cultural embeddedness of transnational entrepreneurs and ultimately influence the process by which the entrepreneur engages in cross-cultural arbitrage.

We are one of the first to integrate the sociology of immigrants with entrepreneurship to better understand how TNEs engage in cross-cultural arbitrage.

Adequate means for easily viewing, browsing and searching knowledge graphs (KGs) are a crucial, still limiting factor. Therefore, this paper aims to present virtual properties as valuable user interface (UI) concept for ontologies and KGs able to improve these issues. Virtual properties provide shortcuts on a KG that can enrich the scope of a class with other information beyond its direct neighborhood.

Virtual properties can be defined as enhancements of shapes constraint language (SHACL) property shapes. Their values are computed on demand via protocol and RDF query language (SPARQL) queries. An approach is demonstrated that can help to identify suitable virtual property candidates. Virtual properties can be realized as integral functionality of generic, frame-based UIs, which can automatically provide views and masks for viewing and searching a KG.

The virtual property approach has been implemented at Bosch and is usable by more than 100,000 Bosch employees in a productive deployment, which proves the maturity and relevance of the approach for Bosch. It has successfully been demonstrated that virtual properties can significantly improve KG UIs by enriching the scope of a class with information beyond its direct neighborhood.

SHACL-defined virtual properties and their automatic identification are a novel concept. To the best of the author’s knowledge, no such approach has been established nor standardized so far.