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Cultural Heritage Manifestation in Computer Role-Playing Games for Enhancing Museum Experience: A Model Proposal
This article proposes a model for integrating computer role-playing games with museum experiences to enhance cultural heritage learning with a particular focus on design. Centered at the Izmir Archaeology Museum, the study delves into the design of a serious game aimed at enriching both the educational and experiential facets of museum visits. The model highlights the use of gameplay components and design patterns to manifest tangible and intangible heritage content, thereby promoting visitor awareness and understanding of cultural heritage. Through a provisional game scenario based on the museum's prehistoric artifact exhibition, the study illustrates how a gameplay design approach that is informed by heritage content displayed in the museum can be prototyped. The proposed model not only aims to make museum visits more engaging, but also seeks to contribute to the broader discourse on game design, game-based learning, and museum experience.Education & Educational Researc
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence
This article presents a literature review of the past five years of studies using Deep Reinforcement Learning (DRL) and Inverse Reinforcement Learning (IRL) in robotic manipulation tasks. The reviewed articles are examined in various categories, including DRL and IRL for perception, assembly, manipulation with uncertain rewards, multitasking, transfer learning, multimodal, and Human-Robot Interaction (HRI). The articles are summarized in terms of the main contributions, methods, challenges, and highlights of the latest and relevant studies using DRL and IRL for robotic manipulation. Additionally, summary tables regarding the problem and solution are presented. The literature review then focuses on the concepts of trustworthy AI, interpretable AI, and explainable AI (XAI) in the context of robotic manipulation. Moreover, this review provides a resource for future research on DRL/IRL in trustworthy robotic manipulation.Computer Science, Information Systems || Engineering, Electrical & Electronic || Telecommunication
Adaptation of local businesses to the new era during the COVID-19 and the Russia-Ukraine war: case of cesme
Turkey's economic impact has been severe due to the lack of international tourists and the Covid-19 pandemic. Specifically, the tourist destination cesme has suffered economic fluctuations due to decreased international visitors, the Russia-Ukraine war, and insufficient domestic tourists to fill the gap. The study aims to identify deficiencies that help stakeholders manage tourism development amid Covid-19 and the Russia-Ukraine war. The data were collected through semi-structured interviews (n = 34) with local business owners operating for at least 25 years. The study provides insights into the recent tourism development during the pandemic and presents a high level of resilience among local businesses. The business owners perceive the current pandemic and the Russia-Ukraine war situation differently psychologically. Most resilient business owners look for business opportunities by adapting their business models for long-term survival despite the pandemic and the Russia-Ukraine war affecting international tourism.Hospitality, Leisure, Sport & Touris
Studying the metakaolin content, fiber type, and high-temperature effects on the physico-mechanical properties of fly ash-based geopolymer composites
The study investigated the physicasl characteristics and mechanical performance of fly ash-based geopolymer composites when exposed to high temperatures. Geopolymer composites were produced using fly ash as an aluminosilicate-rich raw material and a combination of sodium silicate and sodium hydroxide as an alkaline activator. In this context, the study also examined the impact of partially replacing metakaolin (7.5% and 15% by weight). Furthermore, the study aims to examine the impact of adding fiber (basalt and carbon types) on the physical, mechanical, and high-temperature properties of geopolymer composites. The physical properties investigated were unit weight, apparent porosity, water absorption, and capillary water absorption, while the strength performances investigated were flexural and compressive strengths. To monitor the effect of high temperatures on the strength characteristics of the geopolymer composites, the mixtures were exposed to temperatures of 200 degrees C, 400 degrees C, and 600 degrees C. Besides, SEM images were provided to illustrate the degree of geopolimerization. The results indicated that metakaolin replacement yielded mixtures having higher unit weight, but lower apparent porosity and water absorption. The results indicated that metakaolin replacement yielded mixtures having a higher unit weight, reaching an increase of about 5%, but lower apparent porosity and water absorption, with decreases reaching 18.3% and 20%, respectively. The metakaolin-blended geopolymer composites resulted in better strength performance and resistance to high temperatures. Raising the metakaolin replacement level from 0 to 15% led to an increase of 17.3% in flexural strength. The compressive strength of the composites subjected to a temperature of 200 degrees C exhibited an increase of over 10%. Notably, this rate of increment was observed to be nearly 20% higher in nonfibrous composites. Fiber addition decreased the compressive strength up to about 21%, while increasing the flexural strength up to 65%. Strength performance improved at 200 degrees C, but decreased at higher temperatures up to 600 degrees C. The geopolymer composites experienced significant mass loss when exposed to high temperatures.Engineering, Civil || Engineering, Mechanical || Materials Science, Multidisciplinar
Supply chain socially sustainability practices and their impact on supply chain performance: a study from the Indian automobile industry
While sustainability has been a well-researched area in academic literature, the performance impact of its social dimensions remains largely unexplored, especially in the context of emerging economies. The aim of this research paper is to test and validate the dimensions of supply chain social sustainability (SCSS) that firms should focus on and to examine the relationships between these practices and supply chain performance, both short term and long term. This paper adopts a questionnaire-based survey research approach in the context of Indian automobile industry. Empirical validation of the conceptual model developed was carried out using Confirmatory Factor Analysis. Multiple regression was used to test the relationships between SCSS practices and supply chain performance. This study finds empirical support to the proposition that a firm's initiatives on SCSS dimensions of safety, labour rights, ethical practices and welfare initiatives for people and their communities provide performance benefits to them and to their partners in the supply chains. Regression analysis revealed that safety (0.339) and labour rights (0.601) contribute to both short term and long term performance for the supply chain. While ethical practices have a positive impact on short term performance, welfare initiatives only provide long term qualitative benefits. SCSS is in evolving concept and adopting the right mix of factors can help firms to achieve sustainability in all three dimensions of the triple-bottom-line framework (People, Planet and Profit).Operations Research & Management Scienc
Impact of digital technologies on the risk assessment in food supply chain: a wake towards digitalisation
Nowadays, the adoption of digital technologies getting a significant pace. It has the potential to improve the existing dynamics of the food supply chains and improve its transparency. Many times, uncertainties prevail in the food supply chain performance systems, which cause amplification of risk. These uncertainties are due to a lack of product traceability mechanisms in the food supply chains. Hence, it becomes vital to harness the potential of digital technologies like the Internet of Things, Blockchain, and common digital platforms to improve the flow of information and products in the food supply chain. The presented work is aimed at assessing the impact of digital technologies on risk identification and its mitigation in the food supply chain dynamics. For the same, risks are assessed relative to its mitigation strategy by the two-stage methodology of preference rating approach. Here, the impacts of risk under consideration are quantified relative to every risk mitigation strategy for a better depiction of the potential of digital transformation of the food supply chain. It yields the broadening of its implication perspectives at operational, strategic and tactical levels of the food supply chain and makes them future-ready. Chain: A wake towards digitalisation. imageFood Science & Technolog
Unobserved heterogeneity in firm performance: The alignment of entrepreneurial orientation and organizational error management culture
Most prior research has focused on the positive relationship between a firm's entrepreneurial orientation (EO) and its performance. However, errors in entrepreneurial strategies are inevitable. We argue that entrepreneurial firms benefit from an organizational error management culture. Drawing on data from 208 German family businesses, we combined partial least squares structural modeling with finite mixture partial least squares (FIMIX-PLS) segmentation to capture unobserved heterogeneity in firm performance. Our results show that firms align organizational error management culture with the behavioral or attitudinal dimensions of EO. The two identified segments indicate that firms align one at the cost of the other. Error communication emerged as a central link in both segments, mediating EO and firm performance. Overall, the results highlight the importance of aligning cultural practices, particularly the dialogue about errors within firms, with entrepreneurial behaviors and attitudes across managerial and firm levels.Busines
How are electricity generation effective on carbon neutrality in the global south? Evidence from sectoral CO2 emissions by daily data
In light of the efforts to ensure carbon neutrality by combating climate-related problems, the study investigates the effectiveness of electricity generation (EG) from the main renewable sources (hydro-HEG, solar -SEG, and wind-WEG). In this context, the study examines the countries of the Global South (i.e., Brazil, China, and India), considers EG at a disaggregated level and sectoral CO 2 emissions, applies nonlinear methods, and uses daily data between January 2, 2019 and December 31, 2022. The results demonstrate that (i) disaggregated EG sources have a stronger (weaker) time and frequency dependency on sectoral CO 2 emissions in China (Brazil and India) || (ii) HEG has a stimulating impact on sectoral CO 2 emissions in all countries || (iii) SEG has an increasing impact on sectoral CO 2 emissions in Brazil and China, while it provides a decrease in sectoral CO 2 emissions in India || (iv) WEG upsurges sectoral CO 2 emissions in China, while it achieves a CO 2 reduction in Brazil and India || (v) disaggregated level EG has a causal impact on sectoral CO 2 emissions across all quantiles except some lower, middle, and higher quantiles. The study adds scientific value to existing knowledge by analyzing for the first time which EG sources are effective in reducing daily CO 2 emissions in the Global South. Based on the outcomes, the study demonstrates that WEG is the best EG source for Brazil, that SEG and WEG are optimal EG sources for India, and that China cannot benefit from the EG sources considered. In this way, the study provides fresh insights for the countries of the Global South and underlines the crucial role of renewable EG in ensuring carbon neutrality.Environmental Science
Blockchain entrepreneurship roles for circular supply chain transition
The transition to a circular supply chain (CSC) is a prerequisite to establish sustainability in the supply chain. Blockchain-based CSC enables stakeholders to effectively manage their decision-making processes, increase revenue, reduce time and costs and ensure information synchronisation. Blockchain start-ups play an essential role in facilitating the transition from a linear to a circular economy while supporting the development of CSCs. This research aims to explore the role of blockchain entrepreneurship in the transition to CSC by evaluating circular blockchain start-ups. This research contributes to the literature by providing verified roles of blockchain entrepreneurship in the transition to CSC by evaluating the literature and blockchain start-ups. Another contribution is that the causal relationships between these roles are analysed. In this study, an integrated three-step methodology including Systematic Literature Review (SLR), Qualitative Comparative Analysis (QCA), and Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy-DEMATEL) methods on the base of the theory of change is proposed. An SLR is performed to determine the roles of blockchain entrepreneurship. Then, a QCA is conducted after identifying the roles for verification by evaluations of use cases of blockchain start-ups. Finally, the causal relationships between these roles are interpreted by using Fuzzy-DEMATEL. Findings indicate that blockchain entrepreneurship has 12 fundamental roles in facilitating the transition from a linear to a circular economy while supporting the development of CSCs.Business || Environmental Studies || Managemen
How Competing Institutional Logics Affect Corporate Social Responsibility Benefits: the Mediating Role of Paradox Mindset and Multi-Stakeholders
Organizations differ in their corporate social responsibility (CSR) orientation, the effects of which manifest themselves in organizational outcomes. Drawing on the institutional logics perspective, the current study explains the underlying dynamics of these differences. The current study aims at revealing how organizations can achieve combined CSR benefits for both society and business by exploring the ways of how social and commercial logic function differently in the context of CSR and shape organizations' CSR together with some mediators. Based on the developed typology by the current study for CSR, a research model is created for the analysis. A survey was conducted with 192 companies operating in various sectors. The findings confirm the dichotomy, which is theoretically proposed by the developed typology of the current study between institutional logics and perceived CSR benefits: commercial logic mostly increases CSR benefits for business while social logic increases CSR benefits for society. Furthermore, the current study finds out that it is possible for commercial logic to provide CSR benefits for society and social logic to provide CSR benefits for business, thanks to some organizational capabilities that allow overcoming the complexity arising from the different organizational prescriptions of competing institutional logics. Thus, paradox mindset and multi-stakeholders can enable combined CSR benefits by mediating between incompatible structures of multiple logics. Given the importance of approaching strategically in today's turbulent business environment, both academics and practitioners can use this model to achieve CSR benefits simultaneously for both business and society by managing multiple goals.Economic