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Perception and definition of artistic craft within cultural and creative industries based on the qualitative data analysis
Get PDFCulture and creativity are integral to European cultural and creative industries, pivotal in shaping Europe’s identity and global prominence. The focus on crafts within the cultural and creative industries ecosystem underscores their cultural significance. However, classifying crafts as artistic or traditional needs more systematic indicators. This article addresses this gap by proposing a methodology to evaluate the artistry of crafts. Twelve indicators were identified based on literature and in-depth interviews with Czech craft organizations to evaluate the artistry of the particular craft. Chosen respondents (legal entities and natural persons) self-evaluated these indicators, assigning weights based on importance. Results revealed varying weights, with mastery of the craft and originality deemed most significant. The proposed methodology offers a scalable approach to determining the artistry of crafts and aiding enterprises and policymakers in supporting cultural and creative industries. This study contributes to theory as well as practice by providing a comprehensive framework for identifying and evaluating artistic craftsmanship within the cultural and creative industries
Creative integration of Egyptian cultural heritage in electric vehicle styling
Get PDFThis paper explores the integration of Egyptian cultural heritage into electric vehicle design, aligning with Egypt Vision 2030 principles. The purpose is to investigate how ancient Egyptian symbols can inspire innovative electric vehicle styling and assess the educational outcomes of such a design project. Conducted as a coursework project at the October 6 University in Giza, 6 of October, Egypt, this initiative challenged product design students to design electric vehicle’s using symbols and motifs used in ancient Egyptian civilization. The methodology included four phases: 1) research and inspiration; 2) ideation and refinement; 3) digital modelling, and 4) physical modelling. The findings showed that integrating cultural symbols enhanced the aesthetic and symbolic value of the electric vehicle’s, fostering creativity and deeper cultural appreciation among students. Practical implications suggest that such designs can appeal to consumers seeking unique and culturally meaningful products. The originality and value of this paper lie in demonstrating how cultural heritage can be preserved and promoted through contemporary design, contributing to both educational outcomes and market innovation
Towards sustainable architecture creation and evaluation practice: resource blindness phenomenon and chameleon principle
Get PDFSustainable meeting of human needs is contingent upon effective management of resources to address development challenges in qualitative manner, thereby engendering positive change. This issue concerns scientific verifiability of interaction between social and environmental capital. These settings provide the basis for development of universal theoretical framework to address principles of resource diversity in this study. The current study examines extent to which various sustainable development strategies – universal and specific documents, initiatives, collaborations and competitions, and sustainable development assessment systems – align with the aforementioned principles. Results are assumed to be in line with basic principles of art and innovation and therefore architecture, which are either ignored or endorsed. Resource blindness phenomenon and chameleon principle offer novel approaches to defining and explaining the ideas and characteristics of two distinct philosophies of creativity. The laws are crystallized through unprecedented methodology of reconciling natural and human capital characteristics through common and specific meanings described in scientific literature. Comprehensive spectrum of natures, states, types, and principles of sustainable interaction of resources thus formulated provides the universal theoretical framework. Appearance of the principles is then illustrated by architectural case study, thus defining criteria for sustainable interaction of resources in practice. Conclusions are given
Supply decision of existing apartment: Case study of apartment transactions in Gangdong district, Seoul, Korea
Get PDFDespite its importance, homeowners’ supply type decision has been under-researched due to data limitations. We construct a dataset of 4,037 apartment units in Gangdong district, Seoul, Korea over a 46-quarter period (2011Q1–2022Q2). We simultaneously analyse both the asset and space markets. The results show that the estimated probability and estimated volume of sale from supply type choice models are statistically significant in both the sales and rental price models. The key findings of our study are two. We find that the housing sales and rental markets interact and co-move together. We also demonstrate that the institution of the two-year lease contract period influences the transaction probabilities in both the sales and rental markets. For the supply type decision model, the estimated sale-transaction (rental-transaction) price significantly impacts the sale-transaction (rental-transaction) volume. However, no significant relationship was found between the estimated sale price and rental-transaction volume, nor between the estimated rental price and sale-transaction volume. The results of the forecast-performance comparison show that the integrated supply model_T/probability (calibrated) is the best for sales volume, whereas the two-year lagged value is the best for rental-volume estimation. This demonstrates institutional effects in the rental-housing market in Korea
Evaluating embedding models for text classification in apartment management
Get PDFThe recent proliferation of embedding models has enhanced the accessibility of textual data classification. However, the crucial challenge is evaluating and selecting the most effective embedding model for a specific domain from a vast number of options. In this study, we address this challenge by assessing the performance of embedding models based on their effectiveness in downstream tasks. We analyze consultation records maintained by an apartment management body in South Korea, and convert this textual data into numerical representations using various embedding models. The vectorized text is then categorized using a k-means clustering algorithm. The downstream task, specifically, the classification of consultation records, is evaluated using a quantitative metric (Silhouette score) and qualitative approaches (domain-specific knowledge and visual inspection). The qualitative approaches yield more reliable results than the quantitative approach. These findings are expected to be valuable for the various stakeholders in property management
Managing the multi-stakeholder complex in P3 project decision-making: a mix-method review
Get PDFManaging stakeholders in a public-private partnership (P3) project is complex; it involves uncertainties, variations, and intricacies. A typical P3 system has a dynamic multi-stakeholder system requiring active project management to avoid delays, conflicts, and partnership failures. Presently, limited research has explored stakeholder management in P3 projects. The current study uses bibliometric and scientometric analyses to identify stakeholder-related issues in P3 decision-making. A keyword co-occurrence and clustering reveal that project stakeholders strongly influence significant P3 decision-making in risk management, concession design, procurement, and sustainability. Therefore, a detailed content analysis is conducted to discuss this in detail. The study reveals that poor structuring of roles and responsibilities, public opposition, information asymmetry, principal-agent problems, knowledge management, and corruption are crucial stakeholder issues in decision-making. Further, a systems thinking framework is used to study the stakeholder dynamics for early engagement and relationship management for P3 projects. Lastly, the study findings are summarised as a conceptual framework of stakeholder-related issues with corresponding stakeholder management process steps. The review contributes to inclusive stakeholder management for P3 projects, helping early-stage researchers and practitioners. They can develop a more profound domain knowledge of P3 stakeholder-related issues, decision-making aspects, and stakeholder management elements
Unveiling the buffering role of prior ties in relationship conflict management in the construction industry
Get PDFRelationship conflict is commonplace during the cooperation period between the general contractor and subcontractor. However, how to prevent the adverse effect arising from relationship conflict on the final project outcome is scarce, especially in empirical studies. Drawing on the conservation of resources (COR) theory, a theoretical model revealing the underlying deteriorating mechanism (relational behavior) and corresponding prevention strategies (prior ties) is developed. Based on 174 questionnaires collected from the Chinese construction industry, the model and proposed hypotheses are empirically examined. The results suggest that relationship conflict between the general contractor and subcontractor harms cooperation performance, and relational behavior mediates this relationship. If the general contractor and subcontractor have a prior cooperative relationship, the devasting impact of relationship conflict can be undermined. These findings deepen the understanding of the underlying mechanism by which relationship conflict impairs the final cooperation performance and afford insights into relationship conflict management from a pre-prevention perspective
Measurement and spatiotemporal evolution characteristics analysis for the provincial development level of intelligent construction in China
Get PDFIntelligent Construction (IC) is emerging as a transformative approach within the architecture, engineering, and construction (AEC) industry, garnering significant global attention. There exist considerable disparities in the development levels of IC across various provinces in China, leading to uneven advancement that complicates precise policy formulation and differential implementation. Previous studies have primarily evaluated IC at the project and enterprise levels, thus lacking a comprehensive measure of the provincial IC development level. To bridge this gap, this study introduces a quantitative method to assess provincial IC development levels in empirical data, analyzing their driving factors and spatiotemporal evolution. Initially, based on the Politics-Economy-Society-Technology (PEST) analysis model, 16 measurement indexes were identified through a combination of literature review and expert interviews. Original data for these indexes were acquired via policy and media news mining, along with literature and patent indexing, etc. Subsequently, a quantification method for each index was established. The “analytic network process (ANP), entropy weight, and game theory” integration method was used to calculate combination weights. Finally, the development level of IC was quantitatively measured based on the cloud matter-element model, and the spatiotemporal evolution characteristics of the provincial development level in China from 2012 to 2022 were analyzed. The results indicate that (1) the development level of IC in China is divided into four levels, and the overall development level is relatively low, with only Beijing, Shanghai, and Shandong ranking at level I. (2) The development level shows a trend of increasing from northwest to southeast, with policy and technological factors being the main driving forces. (3) There is a significant spatial positive correlation between the development levels of provinces, and their spatial agglomeration effects are gradually developing from coastal areas to inland areas. The research results provide a theoretical basis for stakeholders such as governments and enterprises to formulate differentiated development strategies for IC and also provide a reference for measuring the development level of IC and other fields in other countries
Development of an automated surface crack detection and BIM-integrated management system for concrete bridges
Get PDFBridge inspection work typically requires inspectors to capture hundreds to thousands of images, consuming substantial time for review. This research developed an “Automated Crack Image Cloud Detection System” and the “Auto Predictor” application, enabling automatic crack identification and deterioration image recognition through uploads. This platform integrates with the “Bridge BIM Cloud Management System”, connecting crack information with three-dimensional models. Engineers can create BIM models based on structural design drawings, while inspectors can photograph cracks and integrate relevant information. The study utilized deterioration images from long-term bridge inspections in Taiwan, covering various real-world environmental conditions. Through effective deterioration labeling strategies and comparing YOLOv4 and YOLOv7 algorithms with recommended parameters, an optimal model was obtained for system implementation. Research results demonstrate that the “Automated Crack Image Cloud Detection System” successfully identified cracks in bridge inspections and short beam shear test specimens. The deep integration with the “Bridge BIM Cloud Management System” enables automatic component crack identification and generates location charts, providing decision-makers with intuitive visual data. The YOLOv7-based model achieved a mean Average Precision (mAP) of 87.64%, significantly improving bridge inspection efficiency and demonstrating exceptional application potential
Smart tourism economics: introducing a technology-driven competitive advantages framework
Get PDFRecently, in the Hospitality 5.0 era, the Smart Tourism industry has experienced disruptions due to the widespread integration of cutting-edge technologies (Artificial Intelligence, Internet of Things, Robots, Big Data, and others) enabling the overall tourist experience enhancement. This study aims to identify the main clusters of technologies adopted and to highlight the competitive advantages resulting from their implementation in Smart Tourism. A meta-analysis was conducted on a final WoS sample of 60 papers published between 2015 and 2023. Four synoptic tables showcase the technologies, the processes they facilitate, the competitive advantages, and the smart destinations where they have been implemented. The originality of this research consists of the 70 competitive advantages identified across the industry, leveraged in designing the CECoR map (Customer Experience, Costs, Revenues) and the CAdSTT framework (Competitive Advantage-driven Smart Tourism Technologies). Guidelines for supporting managers in planning and initiating projects aiming at integrating technology to increase organisational value were proposed