Efficient Technology Research Articles

Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model.

Although many organizations have adopted blockchain technology (BCT) for efficiency and automation and users' adoption of BCT is becoming crucial for the companies, few studies have focused on the factors affecting the adoption of BCT in real estate sector. This study aims to assess the factors affecting the adoption of BCT in real estate by the lens of an extended Technology Acceptance Model (TAM) and Task-technology fit (TTF). This current study uses quantitative survey approach. Data were collected from 311 real sector buyers and sellers in China. Partial least square structural equation modeling (PLS-SEM) was used for data analysis. The study's findings indicate that attitude, perceived usefulness (PU) and data privacy and security (DPS) exerts highest influence in the proposed theoretical model. In addition, the findings also confirmed the significant impact of perceived ease of use (PEOU) on attitude, and TTF impact on PU and PEOU in adoption of BCT. Furthermore, the moderating impact of perceived compatibility (PC) on the relationship between TTF and PEOU was also confirmed. The study has useful practical implications for the real estate buyers and sellers that adoption of BCT improves efficiency, reduce transaction cost incur due to intermediaries, and enhance security system. Furthermore, the study suggests that automation achieved through BCT will facilitate customized agreements and improve process of title transfer.

AI in IPR: Leveraging Technology for Efficiency and Addressing Concerns

AI in IPR: Leveraging Technology for Efficiency and Addressing Concerns

Exploring the Application of Blockchain Technology in the Supply Chain of the Automotive Industry

The purpose of this study is to assess the impact of blockchain technology in the supply chain of the automotive industry and its effect on supply chain efficiency. A quantitative approach has been used by a self-administered questionnaire among 100 supply chain professionals predominantly from the automotive industry and to the blockchain professionals in other industries in Europe. The result of the investigation showed that there is enhancement of supply chain efficiency by the implementation of blockchain in the supply chain of the Automotive industry. In addition, based on the regression and correlation analysis, it concluded that data transparency, traceability, security of the data are significantly correlated with supply chain efficiency of the organization when blockchain technology is implemented. The study also examines the cost of implementation of blockchain technology which influences the decision-making process of adoption of blockchain technology for supply chain efficiency.

Maximizing Operational Efficiency: Utilizing Blockchain for Comprehensive Tracking and Visibility throughout the Supply Chain

Purpose: The purpose of this research is to explore the transformative potential of blockchain technology in supply chain management, focusing on its ability to address inefficiencies, enhance transparency, and reduce fraud. It aims to evaluate blockchain's role in enabling end-to-end supply chain tracking through decentralization, immutability, and real-time data sharing while assessing its integration with IoT and AI to provide predictive, data-driven decision-making. The study also seeks to identify challenges such as scalability, regulatory constraints, and cultural barriers and propose solutions like Layer 2 technologies and industry collaboration to facilitate ethical and sustainable practices and advance international trade. Methodology: The study examines blockchain technology's decentralization, immutability, and real-time data-sharing in supply chain management. It uses case studies, such as Walmart's food traceability initiative, to demonstrate practical applications, showing time reductions from six days to seconds. The research explores integrating IoT and AI to improve data capabilities for better decision-making and addresses challenges like scalability and regulatory barriers. Proposed solutions include Layer 2 technologies and fostering industry collaboration. This mixed-method approach combines qualitative insights with technological analysis of blockchain in the supply chain. Findings: Blockchain reduces fraud by 50% and boosts operational efficiency by 30%. Case studies reveal significant improvements in traceability, e.g., reducing traceability time from six days to seconds. Blockchain enhances predictive capabilities and decision-making when combined with IoT and AI. Challenges include scalability, regulatory barriers, and resistance within organizational cultures. Solutions such as Layer 2 technologies, improved anonymity measures, and industry cooperation are essential for overcoming barriers. Unique Contributions to Theory, Policy, and Practice: Blockchain is a transformative technology in supply chain management, offering decentralization, immutability, and real-time data sharing. It reduces fraud by 50% and boosts operational efficiency by 30%. The integration of blockchain with IoT and AI enhances predictive analytics and decision-making, paving the way for future research on technology convergence. Regulatory frameworks are needed to tackle scalability, resistance, and anonymity issues for smoother adoption. Industry cooperation is crucial to overcome barriers, and policies should enforce ethical, transparent supply chain practices. Case studies, like Walmart’s food traceability, show significant improvements, with traceability times reducing from six days to seconds. Businesses are encouraged to use Layer 2 technologies for better scalability and efficiency. Overall, blockchain holds promise for sustainable practices and the evolution of international trade.

Technology-Driven Operational Efficiency and Security in Casinos: An Empirical Analysis of Adoption and Impact

This study aims to examine the impact of Casino Technology Adoption (CTA) on Operational Efficiency (OE) and Security (S) within the casino industry, with Firm Profile (FP) as a moderating variable. Survey data were collected from casino firms, and Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to assess direct and moderated relationships. The results indicate that CTA has a strong positive effect on both OE and S, underscoring the role of technology in enhancing casino operations. However, FP did not exhibit a significant moderating effect on the relationships between CTA and OE or between CTA and S, suggesting that firm characteristics such as firm size, years of operations, and net worth may not critically alter the technology-efficiency or technology-security relationship in this context. This finding highlights the direct influence of technology adoption in achieving operational and security improvements, regardless of firm-specific factors. The study provides practical insights for casino firms seeking to leverage technology for efficiency and security gains. It contributes to the literature by exploring the nuances of the impact of technology adoption on the casino industry.

Machine Learning Approach to Classify Vibrio vulnificus Necrotizing Fasciitis, Non-Vibrio Necrotizing Fasciitis and Cellulitis.

Recent advancements in artificial intelligence have led to increased adoption of machine learning in disease identification, particularly for challenging diagnoses like necrotizing fasciitis and Vibrio vulnificus infections. This shift is driven by the technology's efficiency, objectivity, and accuracy, offering potential solutions to longstanding diagnostic hurdles in clinical practice. This investigation incorporated 180 inpatients suffering from soft tissue infections. The participants were categorized into groups: cellulitis, non-Vibrio necrotizing fasciitis (NF), or V. Vulnificus NF. To predict the three relevant outcomes, we employed Light Gradient Boosting Machine (LightGBM) and 5-fold cross-validation methodologies for the development of a multi-class categorization model. Moreover, we applied the SHapley Additive exPlanations (SHAP) methodology to decipher the model's predictions. The multi-classification model possesses substantial predictive capacity, with a weighted-average AUC of 0.86, sensitivity of 87.2%, specificity of 74.5%, NPV of 81.6%, and PPV of 85.4%. The model's calibration was assessed using the Brier score, yielding a weighted mean of 0.084. This low value demonstrates a strong correlation between predicted probabilities and actual outcomes, indicating high predictive accuracy and reliability in the model's forecasts. We effectively developed a multiclassification model aimed at forecasting the occurrence of cellulitis, non-Vibrio NF, or V. Vulnificus NF in patients suffering from soft tissue infection, and we further described the model's predictions using the SHAP algorithm.

Innovative Application of Digital Printing Technology in “China Chic” Clothing

As the resurgence of Chinese traditional culture gains global attention, "China Chic" clothing design has become a prominent trend in modern fashion. Digital printing technology is an advanced textile printing process. It has become a core technology in "China Chic" clothing because of its high precision, full-color gamut, versatile design capabilities, and environmental benefits. This study explored the application effect of digital printing technology on fabrics of different materials through printing accuracy tests and printing color reducibility comparison tests of different fabric structures with case analysis, and verified its superior performance in traditional pattern reproduction and customization. The results indicated that digital printing technology can not only meet the complex design requirements of "China Chic" clothing but also significantly enhance the environmental sustainability of the production process. In the future, the development of digital printing technology should focus on improving production efficiency, reducing costs, and developing more environmentally friendly inks to expand its potential in the textile industry further. Finally, the study shows the outstanding performance of digital printing technology in application efficiency, vision and color, which can provide strong technical support for the innovative design of "China Chic" clothing

Exploring Blockchain Technology for Transparency and Efficiency in Indonesia's Financial Sector

Exploring Blockchain Technology for Transparency and Efficiency in Indonesia's Financial Sector

Opportunities and challenges halal tourism in Indonesia in the era of human-centered technology (society 5.0)

Indonesia, as a Muslim-majority country, has great potential in developing halal tourism that meets the needs and preferences of Muslim travelers. However, in its implementation, the sector faces various challenges. Along with the emergence of Society 5.0, which focuses on technology that empowers humans, the challenges and opportunities in the development of halal tourism are also increasingly complex. Society 5.0 aims to answer and address social issues that arise along with the industrial revolution 4.0, by placing humans at the center of innovation. This study aims to analyze the opportunities and challenges faced by halal tourism in the Society 5.0 era. The research method used is a qualitative method with written data collection techniques through literature studies. After the data is collected, it is then analyzed descriptively to produce research findings. The results showed that halal tourism in the Society 5.0 era has good opportunities thanks to the role of technology in improving access to information, personalization of tourist experiences, operational efficiency, and the development of innovative halal tourism products. However, major challenges are still faced related to standardization, infrastructure quality, human resource quality, global competition, and cybersecurity risks. Overcoming these challenges requires a collaborative strategy between the government and the private sector, utilization of technology for efficiency and safety, improving the quality of human resources, and more intensive promotion in both domestic and international markets. With the implementation of this strategy, Indonesia's halal tourism sector can develop optimally, strengthen the country's economy, and meet global market demand.

Dynamic Window Technologies for Energy Efficiency in Condominiums in Tropical Climates

Dynamic Window Technologies for Energy Efficiency in Condominiums in Tropical Climates

A SYSTEMATIC LITERATURE REVIEW ON THE DEVELOPMENT TRENDS IN MANAGEMENT ACCOUNTING RESEARCH

Background. The emergence of digital tools, such as data analytics and automation, enhances decision-making, aligns with sustainability, and supports strategic goals, especially in the context of achieving Sustainable Development Goals (SDGs) Research Purpose. The study aims to provide a comprehensive analysis of the developmental trends in management accounting by systematically reviewing recent literature. This review focuses on identifying key trends, existing gaps, and emerging themes to establish a framework for future research in this evolving field? ResearchMethod. Using a systematic literature review (SLR) approach, the research includes journal articles, conference proceedings, and reports published over the past decade. Articles were selected based on relevance to management accounting and sorted by topic, findings, and theoretical contributions.? Findings. Key trends in management accounting include the integration of digital technology (e.g., AI, blockchain) for efficiency, accuracy, and improved decision-making, alongside a strong focus on environmental sustainability. The study also found significant interest in sustainability management practices, particularly regarding their role in meeting SDGs and enhancing corporate performance ?Conclusion. Management accounting is increasingly shaped by digitalization and sustainability imperatives. Technologies like AI and blockchain are reshaping data accuracy and efficiency, while sustainability practices encourage responsible business practices.

Advancements in Additive Manufacturing Technologies for Enhancing Efficiency and Sustainability in Military Logistics Operations

Advancements in Additive Manufacturing Technologies for Enhancing Efficiency and Sustainability in Military Logistics Operations

Cross-Docking Layout Optimization in FlexSim Software Based on Cold Chain 4PL Company

The paper highlights the potential of cross-docking to reduce storage time and costs. The study addresses evolving market demands that push logistics providers to adopt new technologies for operational efficiency, emphasizing the often-overlooked importance of optimizing cross-docking layouts. The research, conducted in two phases, first analyzed the current warehouse layout (Variant I) to identify inefficiencies and then designed a new layout (Variant II) that was simulated using FlexSim 2022 software. The results showed significant improvements with the new layout, including a 35% increase in deliveries and a 3.23% reduction in forklift travel distances, leading to lower operational costs. Even minor adjustments in the warehouse design proved to enhance logistics efficiency, particularly during peak demand periods like holidays. The study demonstrates how FlexSim software can be applied in cold chain logistics to optimize warehouse operations, underscoring the benefits of cross-docking for cost-effective logistics management.

Measuring carbon emission performance in China's energy market: Evidence from improved non-radial directional distance function data envelopment analysis

The most complex challenge facing the energy market is identifying effective solutions to reduce CO2 emissions (CEs) and enhance environmental performance (EP). Coal production within the power sector is the primary source of these emissions. In this study, we developed a novel linear programming model that accounts for undesirable outputs to assess the EP of 15 power enterprises in eastern China from 2016 to 2020. In addition, we employed a global non-radial Malmquist-Luenberger productivity index (GNML) to analyse the mechanisms influencing changes in efficiency among these enterprises. Our findings indicate that, while the EP of the power industry in eastern China improved, it remains at a relatively low level and exhibits instability. Moreover, technological efficiency (TE) and scale efficiency (SE) play a significant role in determining production efficiency within the sector. Therefore, it is essential for industry managers to implement standardized production management regulations, enhance technological development and scale investments, and strengthen control over unintended emissions that could facilitate energy transition.

Appropriate and Efficient Technology System Approach in Product Design to Reduce Musculoskeletal Disorders

The process of planting corn still uses the traditional method of using wood that is sharpened at theend while holding a bag containing corn seeds, the process of planting corn is carried out by bendingthe body continuously, this process is carried out minimum two workers. This process causesperformance to be not optimal, besides that the work process will accelerate fatigue and cause manycomplaints, pain, and injuries. This study aims to measure anthropometric data of standing shoulderheight, standing elbow height, forearm length, hand width, and hand grip diameter. The results ofthese measurements are then used to design products for these farmers. This measurement alsoincludes a Nordic Body Map (NBM) questionnaire to determine of pain in the corn planting process.The subjects in this study were 30 people, after calculation and data processing, the right size for theproduct design is obtained which consists of a tool height of 140 cm, a handle height of 105 cm, adiameter of grip 5 cm, grip length of 9 cm, an operator distance with a tool of 45 cm, then the toolassembly process and testing process will be carried out.

Research on the green development path of prefabricated building industry based on intelligent technology

PurposeIn order to make the construction industry develop in the direction of greening, this paper analyzes whether the application of intelligent technology in prefabricated buildings can achieve carbon emission reduction, starting from the problems of weak technology and insufficient encouragement policies in the prefabricated building industry. It also designs dynamic and adjustable incentives for the smart transformation of prefabricated buildings and makes recommendations to facilitate the transformation of assembly manufacturers into “smart factories”.Design/methodology/approachThis paper takes the intelligent technology for carbon reduction, energy efficiency and policy design in the prefabricated buildings industry as the starting point. Based on in-depth expert interviews and questionnaire survey data, a linear multiple regression model is used to establish an association network of intelligent technology in the production and transportation, construction, operation and maintenance, demolition and scrapping stages. On this basis, an evolutionary game theory is used to construct a smart transformation and carbon reduction utility game model between the government and manufacturers, and relevant suggestions for smart empowerment of green construction development technology combinations and policy settings are proposed.FindingsAn assembly manufacturing plant with smart empowerment is an important way to achieve green and sustainable development in the construction industry. Among them, BIM and IoT have made a greater impact on carbon emission reduction of prefabricated buildings in all stages of the whole life cycle. The government’s proposed energy efficiency incentives and environmental tax amount will effectively increase companies' motivation for smart transformation of prefabricated buildings. However, when the environmental tax amount is low, the government should strengthen the regulation of the industry in order to increase the speed of smart transformation of assembly manufacturers. Therefore, a reasonable setting of the environmental tax rate and energy-saving incentives and flexible adjustment of the regulatory efforts can maximize the functional utility of the government in the process of smart transformation.Research limitations/implicationsThis paper focuses on the impact of intelligent technologies on the overall carbon emissions of the industry and provides an evolutionary analysis of the strategic game between the government and assembly manufacturers, the main players in the smart transformation process of prefabricated buildings. However, smart technologies for different categories of assembly manufacturing plants and strategic options for a wider range of stakeholders have not been examined in depth.Originality/valueDifferent from existing research, this study focuses on exploring the strategic game between the government and assembly manufacturers in the smart transformation of prefabricated buildings. It provides an innovative explanation of the connection between intelligent technology and carbon emissions. The study develops an evolutionary game model for both parties, addressing the research gap on the combined effects of policy incentives and intelligent technology on carbon reduction and efficiency improvement in the prefabricated buildings industry. This research not only offers practical reference for the government in designing incentive mechanisms and establishing regulatory systems but also provides feasible practical guidance for the smart transformation and carbon reduction efforts of assembly manufacturing plants.

Internet Technology for Efficiency and Resilience in Ocean Transportation Supply Chain Management: A Case Study of China Ocean Shipping Group

With the global maritime transport industry has faced many challenges in recent years, such as market volatility, environmental requirements and technological upgrading. The wide application of Internet technology has changed the management mode of the marine shipping industry and brought new opportunities for its development. Taking China Ocean Shipping Group as a case study, this study aims to explore the use of Internet technology to solve the problems faced by the ocean shipping supply chain and to discuss the importance of Internet technology in the ocean shipping supply chain, its areas of application, and the changes it may bring. Currently, the main problems faced by the marine transport supply chain include human resource costs, logistics information technology level, port and route selection, and shipping market uncertainty, which seriously affect the efficiency and flexibility of marine transport and operating costs. This study discusses Internet technologies to solve practical problems and specific supply chain management measures, including supply chain efficiency, flexibility and operating costs.

An integrated analysis of key financial metrics driving commercial bank performance in Cambodia

This study aims to systematically identify and analyze key financial metrics that influence the performance of commercial banks in Cambodia. Utilizing 2023 data from the National Bank of Cambodia across 59 banks, the research adopts an explanatory framework based on cross-sectional data analysis. Findings reveal a statistically significant positive correlation between Non-Performing Loans (NPLs) and Return on Assets (ROA), suggesting effective NPL risk management by Cambodian banks, contrary to traditional financial theory. Loan Growth (LG) does not significantly impact ROA, indicating that external factors like market conditions and loan quality are more critical. Furthermore, Market Share (MS) has no significant impact on ROA, suggesting that market share may not be a critical determinant of bank performance in Cambodia. A significant negative relationship is observed between the Loan to Deposit Ratio (LDR) and ROA, suggesting that higher LDRs expose banks to liquidity risks and reduced profitability. Both Loan Loss Provision (LLP) and Cost to Income Ratio (CIR) negatively affect ROA, while the Effective Tax Rate (ETR) shows a marginally positive relationship. The Net Interest Margin (NIM) significantly impacts ROA, underscoring the importance of managing interest-earning assets and liabilities. Recommendations include investing in advanced risk management frameworks, enhancing loan quality, maintaining a balanced LDR, utilizing technology for cost efficiency, focusing on effective tax planning, and optimizing NIM through competitive pricing. Future research should explore additional contextual factors that affect profitability dynamics in the Cambodian banking sector.. Keywords: Commercial Banks, Financial Metrics, Return on Assets (ROA), Non-Performing Loans (NPLs), Loan to Deposit Ratio (LDR), Cost to Income Ratio (CIR), Effective Tax Rate (ETR), Net Interest Margin (NIM), Loan Growth (LG), Market Share (MS).

Towards Good Governance in the Management of Educational Institutions in Cameroon: Importance, Challenges and Opportunities

Purpose: This conceptual paper explored the path toward institutionalisation of good governance in the management of educational institutions in Cameroon. Aim was to identify key principles, assess challenges to effective governance, and explore opportunities for improvement, with the view to offer actionable recommendations that could help enhance educational management in Cameroon. Materials and Methods: A qualitative approach that combines personal observations with a comprehensive textual review was employed. The review examined national and international policy documents, strategic plans, reports and academic articles to clarify theoretical constructs and practical applications of good governance in education. Recommendations were based on personal reflections and literature analysis. Findings: The education sector has evolved from being simpler and less competitive to a complex, competitive and more demanding landscape, requiring technology and advanced management strategies centered on governance principles like transparency and accountability. In Cameroon, historical, socio-economic, political, and structural challenges hinder the establishment of good governance in education. However, there is room for educational managers to navigate these realities and promote effective governance, which is essential for unlocking education’s transformative potential and achieving socioeconomic development goals. Implications to Theory, Practice and Policy: The various ministries of education should work in synergy with the other stakeholders to implement a comprehensive training programme for educational managers; invest more resources in educational technology for better administrative efficiency; strengthen monitoring and auditing of expenditures; and enhance the capacity of decentralised management structures to effectively address local needs. These strategies should help create a more accountable and responsive education management framework for Cameroon.

Labor Substitutability among Schooling Groups

Given worldwide trends in education, wage premium for schooling, and real GDP, we derive a lower bound for the long-run elasticity of labor substitution across schooling groups of around 4, which is far higher than values commonly used in the literature. We exploit our bound to reexamine the importance of human capital in cross-country income differences, including the roles of school quality versus the skill bias of technology in the greater efficiency gains from schooling in richer countries. (JEL E23, E24, I26, J24, J31, O15)