Technology Adoption Rates Research Articles

Measuring the Impact of Digital Technology Adoption on the Operational Efficiency of MSMEs in Indonesia

This study aims to analyze the level of adoption of digital technology by MSMEs in Gorontalo and its impact on operational efficiency. Data was obtained through questionnaires and interviews involving MSMEs in various sectors, such as food and beverages, handicrafts, and services. The study results show that adopting digital technology includes using QRIS as a payment method, digital financial management applications such as SI APIK, and digital marketing through social media. The adoption of this technology has proven to have a positive impact on MSME operational efficiency, including reducing operational costs, increasing time efficiency, and improving the quality of service to customers. A simple linear regression analysis revealed a significant influence between the adoption rate of digital technology and the operational efficiency of MSMEs, with a p < p-value of 0.05 and a positive coefficient. The discussion showed that QRIS speeds up transactions and reduces the risk of losing cash, financial management applications increase accuracy and efficiency in financial management, and digital marketing increases the competitiveness of MSMEs. However, implementation costs and lack of digital literacy are still obstacles. These findings support previous research on the benefits and challenges of digitalization for MSMEs.

An Evolutionary Game Model of a Regional Logistics Service Supply Chain Complex Network in a Blockchain Environment

Blockchain technology offers a novel solution to address the issue of information silos present in the complex network system of regional logistics service supply chains. Furthermore, enhancing the willingness of participants to engage in this system has emerged as a critical issue requiring urgent resolution. This study assumes bounded rationality and constructs an evolutionary game model to analyze the adoption behaviors of logistics service providers (LSPs) and logistics service integrators (LSIs) in a blockchain environment. The stability theorem of differential equations is employed to elucidate the inherent decision-making mechanisms present in the game. Acknowledging that traditional evolutionary mechanisms often neglect individual heterogeneity and the dynamic changes in the topological structures of complex networks, this study further involves the development of an evolutionary game model tailored for the complex network of a regional logistics service supply chain. After validating the effectiveness of the model, this research investigates how market environmental factors influence the adoption behaviors of LSPs and LSIs. Finally, through case simulations, the effects of key influencing factors on participatory behaviors within the regional logistics service supply chain are analyzed. The findings indicate that, in a blockchain environment, both prior to and following the adoption of complex network technology in the regional logistics service supply chain, the equilibrium stability of the network system is jointly determined by the total revenues of LSPs and LSIs. External factors in the blockchain environment significantly influence technology adoption strategies. Notably, when both the sensitivity coefficients of market demand relative to price and logistics service costs concerning quality enhancement are high, the willingness of supply chain participants to adopt the technology declines rapidly. As the quality elasticity increases, the technology adoption rates of providers and integrators initially stabilize and subsequently increase exponentially. Changes in the revenues of logistics service providers have no significant impact on technology adoption rates within the regional logistics service supply chain.

Factors affecting the adoption of blockchain technologies in the food supply chain

With the rise in food insecurity, one of the United Nation’s Sustainable Development Goals is to end hunger, achieve food security, and promote sustainable agriculture. This can be achieved through the strengthening and development of existing food systems. Integrating emerging technologies such as blockchain technology can help develop sustainable food systems. Blockchain technology allows the tracking and tracing of food items as they move through the supply chain. Blockchain technology also allows for low transactional costs at almost instantaneous applications. There is however a low adoption rate of blockchain technology amongst organisations in the food supply chain. The objective of the study was to explore factors that affect the adoption of blockchain technology in the food supply chain. The study adopted a quantitative research method that was guided by the technology, organisation, and environment Framework (TOE) to explore factors affecting blockchain technology adoption in the food supply chain. A systematic literature review was used for the study. Quantitative content analysis was used to analyse peer-reviewed articles. Results showed that TOE factors affect the adoption of blockchain technology in the food supply chain. Factors such as cost, scalability, firm size, and IT policy were noted as important factors affecting the adoption of blockchain technology in the food supply chain. The study contributes to the body of knowledge on factors that affect the adoption of blockchain technology in the food supply chain.

An intervention framework for the adoption of solar home system technology in rural Vhembe district, South Africa

BackgroundSolar photovoltaic technology is one of the promising renewable energy solutions of the twenty-first century. It successfully provides electricity to industries, homes and even the transport sector. The decreasing prices of solar modules from 2010 have made Solar Home Systems Technology (SHST) increasingly attractive compared to other renewable energy technologies. Paradoxically, in rural communities of South Africa the usage of SHS remains low. Households continue to rely on unclean energy sources such as firewood for cooking and water heating. Previous efforts to electrify rural communities with SHS have failed considerably. Thus, a comprehensive study was conducted in the Vhembe District, encompassing three villages, to explore this issue and develop a contextualised solution using a behavioural change model. A 35-item questionnaire was randomly administered to 310 households to understand the factors that contribute to the low adoption rate of SHS technology. The data gathered were analysed using IBM SPSS Statistics and Amos version 28. Confirmatory factor analysis and hypothesis testing were employed as the principal statistical methods.ResultsA 12-item model with five distinct factors consolidated into a single measurement model was revealed. All standardised factor loadings exceeded 0.7. Composite reliability values (CR) were above 0.8 and higher than MaxR(H) values, indicating the model’s reliability. Among the five factors influencing SHS adoption (perceived behavioural control, attitude, intention, trust, and subjective norms), only trust and attitude significantly impacted the intention to adopt SHS in the district (P < 0.05). Based on these findings, the conceptualised structural model reflected SHS adoption as determined by the integration of the technology’s social, technical and policy factors. Because of this, this should be regarded as a true reflection of the practical and behavioural intentions of local communities. Moreover, in this paper the barriers hindering SHS adoption are explained, emphasising the significance of attitude and trust. Highlights of policy imperatives are included together with a proposal for a contextual framework, and the way of promoting sustainable solutions. Emphasis is placed on the importance of scaling up renewable energy access.ConclusionsThis research provides a compelling academic exploration of the barriers to the adoption of SHS, the influential role of attitudes and trust, policy considerations, a contextual framework, and the need for promoting sustainable solutions and expanding access to renewable energy. The South African government should lead a change in how solar PV is deployed, considering its social impact, associated technical skills and policy support.

The Role of Innovation Management in Driving Educational Technology Adoption in Emerging Economies

The rapid socio-economic changes in emerging economies demand integrating educational technologies to improve learning outcomes and prepare students for the globalized economy. The successful adoption of these technologies relies on effective innovation management, which must address challenges such as limited infrastructure and varying technological literacy levels. This research investigates the role of innovation management in facilitating the adoption of educational technologies in emerging economies. It aims to identify strategies to overcome barriers to technology integration in education and analyze their impact on academic outcomes. A mixed-methods approach was employed, combining quantitative data from global databases such as the World Bank's EdStats and UNESCO's Institute for Statistics with qualitative insights from interviews and case studies in selected emerging economies, including India, Kenya, Brazil, and Nigeria. Statistical analyses revealed a positive correlation between the Innovation Support Index and the Educational Technology Adoption Rate. For instance, India and Brazil demonstrated higher adoption rates (78% and 80%, respectively) corresponding to robust innovation support systems. In contrast, countries with lower innovation indices, like Nigeria, showed significantly lower adoption rates (50%). The study concludes that strategic innovation management is critical for driving the successful adoption of educational technologies in emerging economies. It emphasizes the need for policymakers and academic leaders to prioritize the development of innovation support systems to foster a conducive environment for technology integration. Strengthening innovation support systems significantly enhances the adoption of educational technologies, offering a pathway to improved educational equity and economic growth in these regions.

The Impact of Digital Transformation on Service Models and Employee Skill Requirements in Taiwan's Real Estate Brokerage Industry

This paper investigates how digital transformation impacts service delivery models and employee skill requirements in Taiwan's real estate brokerage industry. Through a multiple-case comparison approach, data was collected from 200 participants across real estate firms to examine organizational adaptation to technological change. The research employed structural equation modeling and hierarchical linear modeling to analyze relationships between compensation satisfaction (β = 0.45, p &lt; 0.001), digital competency levels, and internal case circulation patterns. Results demonstrate that digital technologies significantly reshape brokerage operations, with digitalized companies achieving 32% higher client acquisition rates and 45% reduction in transaction processing time. Analysis reveals that employee digital literacy accounts for 28% of performance variance, while organizational support systems explain 23% of technology adoption rates. The findings extend service innovation literature by establishing empirical links between compensation systems and digital transformation success, providing a practical framework for technology integration in Taiwan's real estate sector. This research offers evidence-based recommendations for firms implementing digitalization strategies and developing employee capabilities in response to industry evolution.

Using a Random Controlled Trial to Explore the Impact of AI-Enabled Learning

Much is being made of AI’s role in learning. However, there have been few studies that evaluate AI’s ability to make learning more efficient or more effective and specifically the learner’s willingness to embrace and use AI-enabled learning tools over conventional learning methodologies. Working with a manufacturing company, we used a randomized control trial approach (matching pairs) to present two groups of employees with a course on design thinking, one presented via a traditional learning management system (LMS Group) and other through an AI enabled tool (AI Group), with the content being identical in order to compare completion rates, time to completion, learning outcomes (subject matter knowledge retained) and the learner’s perceptions of value and experience. We also were able to compare the AI enabled version of the course to the same version with the addition of a face-to-face instructional component. While we found that those participants in the AI Group completed the course in a shorter period of time, had better learning outcomes and expressed higher perceptions of course value, the AI Group significantly underperformed the LMS Group in terms of course commencement and completion rates. Our finding suggest that the adoption of AI enabled learning tools may follow similar patterns of adoption rates of new technologies -- and require educating learners regarding the use, benefits, value and limitations of new AI enabled tools before widespread acceptance and usage.

Penerapan Clean Arsitektur Menggunakan Mobile Platform Berbasis Flutter Untuk Aplikasi Layanan Kapal

Indonesia's mobile technology adoption rate of 77.02% provides a great opportunity forcompanies to improve their services through mobile platforms. PT ABC, a ship service providerfor various needs, currently only uses web-based applications and needs a mobile-based shipservice application to increase efficiency and flexibility. This research aims to implement CleanArchitecture on a Flutter-based mobile platform to improve the structure and facilitate codemaintenance in ship service applications. The research method used is the prototyping method,with stages including Communication, Quick Plan, Modelling Quick Design, Prototype Formationand Deployment Delivery &amp; Feedback. This approach enables faster application development,earlier identification of potential changes, and reduced risk of failure or mismatch with user needs.The results showed that the application of Clean Architecture in mobile-based ship service applications was successfully implemented so that it provided ease of maintenance. Blackboxtesting with 10 test cases ensures that the application functions as expected and is ready to be usedby PT ABC. User Acceptance Testing also shows that this application meets the needs of users andincreases the company's responsiveness to market changes, the test results reached 86.83%. Withthe division of business logic into usecases folders, the overall efficiency of development, flexibilityof change, and ease of maintenance of the system is increased. In conclusion, Clean Architectureproved to be the right solution to optimise PT ABC's business operations, facilitate applicationmaintenance and testing, and improve code understanding and readability for developers

Factors shaping innovative behavior: A meta‐analysis of technology adoption studies in agriculture

AbstractThis study conducts a meta‐regression analysis to synthesize the marginal effects of 12 factors that frequently appear in empirical studies examining farmer's technology adoption behavior. The analysis includes 187 observational studies on technology adoption in agriculture, which are published in 32 peer‐reviewed journals in the broader field of agricultural economics, covering farmer's adoption in 47 countries for a diverse range of agricultural technologies. Using this broad meta‐dataset, we investigate whether each of the 12 determinants has a true effect on technology adoption rates and examine whether Type I and Type II publication bias are present in the adoption literature. Our results reveal that while most determinant factors significantly affect adoption rates, their marginal effects are generally of small magnitude and vary considerably by technology type and country group. Additionally, our results provide evidence of the presence of Type I publication bias in half of the factors considered and Type II publication bias in nearly all, underscoring the need for caution when interpreting results in the adoption literature by researchers and policymakers. Overall, the findings highlight the critical need for proactive measures to address publication bias and promote more transparent and credible research practices in agricultural economics.

Optimizing IT Project Management in Ukraine's Aviation Sector: Challenges, Opportunities, and Strategic Insights

The Ukrainian aviation industry is undergoing digital transformation; however, the pace remains behind global and European standards due to several challenges. These include limited funding, a lack of skilled IT professionals, and a slow rate of modern technology adoption. The research, titled "Optimizing IT Project Management in Ukraine’s Aviation Sector: Challenges, Opportunities, and Strategic Insights," addresses the urgent need for improvements in IT project management to enhance efficiency, competitiveness, and technological advancement within the aviation sector in Ukraine. This article analyzes the sector's current challenges, including insufficient government and private sector investment, internet infrastructure issues, and a shortage of IT specialists. It also identifies opportunities in areas like automation, digitization, and the potential for public-private collaborations. The study's primary objective is to develop and evaluate an optimal IT project management framework tailored to Ukraine’s aviation industry. This framework aims to optimize resource usage, integrate modern technologies like AI, automation, and cybersecurity, and improve global competitiveness. Furthermore, the research offers a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis of Ukraine’s aviation IT landscape, benchmarking it against European standards. A substantial gap exists between Ukraine and Europe regarding IT investment and automation, with European countries leading in adopting AI-driven systems, enhanced cybersecurity, and automated business and customer service processes. To bridge this divide, the study proposes an optimized IT project management model focused on strategic priorities such as investment in skill development, strengthening public-private partnerships, enhancing cybersecurity, implementing agile work methods, and supporting innovation through government initiatives. In conclusion, the study underscores that enhancing IT project management in Ukraine’s aviation industry is crucial for maintaining global competitiveness and improving operational efficiency. The proposed model offers actionable insights to address current challenges while capitalizing on new opportunities, thereby ensuring resilience in the face of ongoing global digitization and technological advancements.

Analyzing the Impact of Scientific and Technological Innovations on Financial Performance: A PCA-Based Study of an AI Healthcare Startup

This study explores the relationship between scientific and technological innovations and the financial performance of startups, focusing on a representative Artificial Intelligence (AI) healthcare startup. Utilizing Principal Component Analysis (PCA), the research aims to dissect the complex interplay between innovation-related metrics—such as R&amp;D spending, patent counts, and technology adoption rates—and financial outcomes like revenue growth, profitability, and market share. The PCA methodology enabled the reduction of high-dimensional data into PCA, which clearly illustrates how several dimensions of innovation impact financial metrics. The approach used in the investigation helps people comprehend more thoroughly how development benefits business viability in several different manners and provides startups with practical advice to use when preparing their revolutionary investments. This paper aims to assist the ecosystem of startup consumers (including investors, business owners, and policymakers) in making better decisions that balance technological progress with economic objectives.

An emerging market? The European Maritime Industry’s View on Autonomous Maritime Systems: A Survey

Abstract Autonomous Maritime Systems have significantly emerged in maritime research over the past decade. But how is this technology adapted by the maritime industry in business applications? Based on a product and application-focused literature review as well as an industrial survey among 52 companies, this paper gives insights into the industrial’s interest in this emerging technology for different maritime segments, their prioritized use cases as well as the main barriers for the emerging market according to the European Maritime Industry. Hereby, it assesses the technology adoption rate specifically for different segments, i.e. Ship Operators, Manufacturers, Ports, Shipbuilding, Offshore and (Hinterland) logistics.

Training on the Use of Appropriate Technology to Increase Agricultural Production in Villages in Indonesia

This Community Service activity aims to improve the knowledge and skills of farmers in Indonesia's villages by using appropriate technology through online training. In this series of activities, villages with adequate internet infrastructure and a low rate of technology adoption are identified. The training was conducted online using the Zoom application and attended by farmers from various regions. The results of the pre-test show that the majority of farmers have limited knowledge about agricultural technology. After participating in the training, the final assessment (post-test) showed a significant improvement in farmers' knowledge and skills, with an average increase in knowledge scores of 60% and skills of 55%. High participation and positive feedback from participants indicate the effectiveness of online training as a method to increase farmers' capacity. However, challenges such as limited access to equipment and cost remain obstacles to implementing appropriate technology in the field. In conclusion, online training has improved farmers' knowledge and skills. Still, additional support is needed to ensure the sustainability of the application of technology in the field. These findings make an important contribution to the development of farmer capacity-building programs in Indonesia, especially in the context of the adoption of modern agricultural technology.

Sustainable Maize Storage Technology Adoption in Ghana: Implications for Postharvest Losses, Farm Income, and Income Inequality

ABSTRACTThe Purdue Improved Crop Storage (PICS) bag, a sustainable post‐harvest storage technology, can address the high postharvest losses that are a major threat to economic development, food security and the environment in Africa. However, there is limited empirical research on this technology. This study therefore aims to fill this knowledge gap by analysing the factors influencing the diffusion and adoption rates of PICS bags and estimates the impact of the technology adoption on postharvest losses, farm income and income inequality in the Ashanti region of Ghana. The results show that less than 20% of farmers adopt the PICS bag, suggesting low adoption despite the widespread exposure of 51.75%. The technology adoption rate could be increased by 20% if all the farmers were exposed to it. It reduces postharvest losses by 14.2%–19.1%, increases farm income by 89.7%–91.2% and reduces income inequality by 51.33%. These findings suggest that promoting the technology can stimulate sustainable rural development by improving farmers' welfare.

Adoption of Coffee Technologies: A Multivariate Probit Model

The sector of agriculture in Ethiopia is a source of livelihood for over 80% population residing in rural areas. It contributes about 50% to the national value of production. The country has huge potential to increase coffee production as it endowed with suitable elevation, temperature, and soil fertility, indigenous quality plantation materials, and sufficient rainfall in coffee growing belts of the country. Adoption of improved coffee varieties and recommended coffee management practice together have a significant effect on annual coffee production. The study was aimed to see the adoption rate and intensity of coffee technologies which are improved coffee Varity and coffee management practice, determinant of adoption of coffee technologies in Jima zone south western Ethiopia. A total of 196 sampled households from three woreda in the zone and 430 plots of 196 farmers household is considered in the survey. The study develops a multivariate probit model econometric model of farmers&amp;apos; choice of combination of coffee technologies. And two primary results were found. First, adoption rate and intensity of Improved coffee variety is greater than adoption of coffee management practice. Secondly adoption of coffee technologies determined by many institutional, resource and other related factor. This implies that policy makers and other stakeholders promoting a combination of technologies can enhance coffee yield through reducing production costs and decreasing coffee vulnerability to disease.

Risks, Regulations, and Impacts of FinTech Adoption on Commercial Banks in the United States and Canada: A Comparative Analysis

ABSTRACTThe growth of FinTech has increasingly attracted the attention of financial industry players. The speed and complexity with which new financial technologies have spread around the world have created regulatory challenges for the United States and Canadian authorities. Unlike the United States, where there is regulatory fragmentation and a supervisory instrument with regulatory relief, Canada has a more integrated regulatory approach managed by regulatory sandbox principles. The aim of this article is to study and compare the impact of FinTech adoption on commercial banks over the 2018–2023 period in the United States and Canadian FinTech ecosystems. The results essentially show that FinTech has a positive impact on commercial banks' performance and financial growth, and a negative impact on liquidity and financial risk. Our results present several contributions and mainly show that: (1) In the presence of multiple entry channels for FinTech startups, the impact of FinTech on financial performance is higher in the United States than in Canada. (2) Because of its regulatory approach, Canada lags behind the United States in the adoption rate of financial technologies. (3) Balance of power in the financial sector induces commercial banks not to consider FinTech startups as threats but rather as partners that offer opportunities for expertise and reduced regulatory costs. Finally, FinTech can be disruptive and presents many challenges for regulators given the complexity and speed of innovation it promotes.

Farm Typology to Enhance Rice Technologies Adoption in Ethiopia

The aim of this study is to conduct a review of farm typology in order to improve the adoption of rice technologies in Ethiopia. Rice production has experienced significant growth in the country, with the cultivated area expanding from 33,820 hectares in 2013 to 60,000 hectares in 2022. However, the adoption level of rice technologies remains low, posing a challenge to meet the increasing demand that is currently being met through rice imports. To address this issue, the government has developed a national rice production strategy and flagship programs at the national level. Furthermore, understanding the characteristics of farmers is crucial for the successful implementation of these initiatives, as farmers are heterogeneous in terms of their resources, preferences, and objectives. Consequently, the adoption rate of rice technologies varies among farmers, leading to different demands for agricultural advisory services. To develop effective farm typologies, it is important to identify the key drivers of technology adoption, such as farm size, risk exposure, human capital, labor availability, credit access, and access to commodity markets. While there are various theories available for studying farm typology, the sustainable livelihood theory is particularly comprehensive in creating effective typologies. These theories employ both quantitative and qualitative approaches. In conclusion, conducting a farm typology study specific to rice cultivation is crucial for enhancing the adoption level of rice technologies.

THE IMPACT OF IFRS ADOPTION ON GLOBAL COMPETITIVENESS

TGlobal adoption of International Financial Reporting Standards (IFRS) represents a significant transformation that enhances the harmonization of accounting practices and the comparability of financial statements. In this study, the relationship between countries’ levels of IFRS adoption and global competitiveness indicators is investigated using Multivariate Analysis of Variance (MANOVA) and discriminant analysis to comprehensively examine this transformation. Data from 86 countries are analyzed, revealing significant differences in several competitiveness indicators based on IFRS adoption levels. The MANOVA results indicate that countries with full or partial IFRS adoption generally exhibit higher institutional quality, infrastructure, and information and communication technology adoption rates. The discriminant analysis classifies countries based on their IFRS adoption levels with an accuracy rate of 77.9%, demonstrating that these adoption levels play a critical role in determining the relevant indicators. The findings suggest that adopting IFRS can enhance economic performance and institutional quality providing valuable insights for policymakers.

Is LiFi Technology Ready for Manufacturing and Adoption? An End-user questionnaire-based study

Because of the exponential development of emerging technologies and the increase of devices that use the internet, the wireless fidelity (WiFi) spectrum has been saturated, therefore, the light fidelity (LiFi) has been under development for wireless communication including internet access. LiFi network systems can provide high speed data rates with high security. However, LiFi is still under development and research, and is not yet popular for end-users to be used in homes, companies, and other industries. Therefore, for the first time, this study investigates the adoption probability of LiFi technology by the end-users to anticipate the success rate when launching ready-to-use LiFi devices for end-users by the manufacturer companies. A well-designed questionnaire is used in this study for data collection. A total of 100 participants from around the world have been chosen to fill-up the questionnaire forms including three phases: basic information, preferences, and usage, and LiFi and Pricing. The findings of this study show a high and positive probability for adoption rate of LiFi technology. However, the pricing aspect has a critical impact on the acceptance of using LiFi systems by the end-users.

PECULIARITIES OF SUSTAINABLE DEVELOPMENT IN EU AGRICULTURAL ENTERPRISES: A COMPARATIVE ANALYSIS OF THE BEST PRACTICES

ustainable development in agriculture is crucial for ensuring long-term food security, environmental health, and economic viability within the European Union (EU). Given the diverse climatic conditions, economic contexts, and cultural traditions across member states, a comprehensive understanding of the peculiarities and regional differences in sustainable agricultural practices is essential for formulating effective policies and strategies. This article aims to provide a comparative analysis of sustainable development in agricultural enterprises across different EU regions. By examining the unique characteristics, implementation strategies, and outcomes of sustainable practices, the article seeks to highlight best practices, identify regional challenges, and propose recommendations for enhancing sustainability in the EU's agricultural sector. The study employs a multi-faceted approach, including a literature review of existing research, policy analysis of the Common Agricultural Policy (CAP) and national policies, in-depth case studies from representative EU countries, surveys and interviews with key stakeholders, and quantitative and qualitative data analysis. This methodology ensures a thorough examination of the various dimensions of sustainable agriculture across the EU. The comparative analysis reveals significant regional differences in the adoption and effectiveness of sustainable agricultural practices. Western and Northern European countries demonstrate high adoption rates of advanced technologies and sustainable practices, supported by robust policies and financial incentives. Southern Europe focuses on water conservation and traditional practices, facing challenges in modernizing their approaches. Eastern Europe shows gradual progress, constrained by economic and infrastructural limitations but benefiting from EU support. Key findings highlight the importance of tailored regional policies, enhanced financial support, and the need for increased knowledge sharing and capacity building. The article concludes with practical recommendations for policymakers, agricultural enterprises, and other stakeholders to harmonize sustainable practices across the EU. These include strengthening and harmonizing policies, supporting research and innovation, improving access to financial resources, enhancing training and education, and fostering multi-stakeholder collaboration.