Factors Influencing Technology Adoption Research Articles

A Targeted Review on Revisiting and Augmenting the Framework for Technology Acceptance in the Renewable Energy Context

Given that the implementation of renewable technologies has some key bottlenecks in adoption, this topic has been explored. Particularly, we are reviewing existing theories and models to understand their fit for changing social structures and evolving world contexts. This review begins with an introduction followed by a background study on renewable energy technology (RET). We have employed a mixed-approach methodology to synthesize the relevant literature. The review comprises a summary and comparison of some existing theories and models such as TAM, TRA, and UTAUT, elucidating factors influencing technology adoption processes. Additionally, the review discusses the scope for future research, emphasizing the need for more nuanced frameworks that account for contextual intricacies and emerging trends in renewable energy adoption. Ultimately, the review concludes with insights into the ongoing discourse surrounding energy technology acceptance and recommendations on the inclusion of current world views in the scope for future study.

Integration of Technology in Agricultural Practices towards Agricultural Sustainability: A Case Study of Greece

Agricultural technology integration has become a key strategy for attaining agricultural sustainability. This study examined the integration of technology in agricultural practices towards agricultural sustainability, using Greece as a case study. Data were collected using a questionnaire from 240 farmers and agriculturalists in Greece. The results showed a significant positive effect of technology integration on agricultural sustainability, with p-values indicating strong statistical relevance (types of technology used: p = 0.003; factors influencing technology adoption: p = 0.001; benefits of technology integration: p = 0.021). These results highlight the significant effects that cutting-edge technology like artificial intelligence, Internet of Things (IoT), and precision agriculture have on improving resource efficiency, lowering environmental effects, and raising agricultural yields. Our findings cast doubt on the conventional dependence on intensive, resource-depleting farming techniques and point to a move toward more technologically advanced, sustainable approaches. This research advances the conversation on sustainable agricultural practices by showcasing how well technology integration may improve sustainability results in Greek agriculture. The study emphasizes the significance of infrastructure investment, supporting legislation, and farmer education in order to facilitate the adoption of agricultural technology.

Promoting the Transition towards Agriculture 4.0: A Systematic Literature Review on Drivers and Barriers

In the modern era, the imperative of digitalisation to enhance competitiveness spans various sectors, with agriculture being no exception. Agriculture 4.0, strategically positioned to address challenges like climate change, food security, and resource preservation, holds the potential to increase productivity, profitability, and sustainability in agriculture. Despite the global accessibility to digital technologies, their adoption within the agriculture sector, especially among small and medium-sized farms, encounters obstacles. Realising the full potential of Agriculture 4.0 requires understanding the factors influencing technology adoption. To address this, the study conducts a systematic literature review using the PRISMA method, focusing on identifying the primary drivers and barriers associated with the implementation of Agriculture 4.0 technologies. The study is complemented by a network analysis of the identified drivers and barriers. A total of 42 articles from 2011 to 2023, sourced from the Scopus database, are examined. Individual and farm-related factors play a crucial role in driving the adoption of smart farming technologies, along with social trust and influence. Economic constraints and lack of infrastructure, such as internet access, emerge as significant barriers. The identified drivers and barriers can inform the development of strategies to promote the transition to Agriculture 4.0. Farmers stand to benefit from insights into potential advantages, required skills, and challenges, aiding informed decision-making in the adoption of Agriculture 4.0 technologies.

Analisis Adopsi Teknologi Tanpa Uang Tunai Di Unit X PT Y

This research delves into the adoption of non-cash payment technology at X Unit of PT Y. Its benefits encompass streamlined income reporting, transaction security, and efficiency. However, challenges include additional infrastructure costs, robust internet connectivity requirements, occurrences of double payments, and reconciliation issues in financial reports. Proposed solutions include installing additional ATMs, collaborating with banks, and hiring Information and Technology (IT) personnel. Applying the Technology, Organization, and Environment (TOE) theory, the research analyzes factors influencing technology adoption in the tourism industry. In conclusion, introducing non-cash payment systems to tourists is essential to enhance service effectiveness and financial management at Prambanan. This study significantly contributes to understanding obstacles and solutions in adopting non-cash payment technology in the tourism industry, offering a strategic framework for sustainable development in the future.

A review of advanced wastewater treatment technologies: USA vs. Africa

This research paper conducts a comprehensive comparative analysis of advanced wastewater treatment technologies in the USA and Africa, emphasizing infrastructure, regulatory frameworks, and socio-economic factors. The USA exhibits robust infrastructure, supportive regulations, and technological awareness, fostering the adoption of advanced solutions. In contrast, Africa faces limited resources and diverse regulatory landscapes. Affordability, accessibility, public awareness, and education are critical socio-economic factors influencing technology adoption. Prospects include innovations like AI integration and circular economy principles. Policy recommendations stress adaptive frameworks and international collaborations. The conclusion underscores the importance of inclusive strategies for global sustainable wastewater management, recognizing each region's unique socio-economic diversity. This research contributes valuable insights for policymakers, researchers, and practitioners working towards resilient and equitable wastewater treatment systems.

Network dynamics of positive energy districts: a coevolutionary business ecosystem analysis

IntroductionAmid the rising interest in sustainable urban development, Positive Energy Districts (PEDs) have become a focus of research. This study examines the dynamic processes that influence the development and scalability of PEDs from a co-evolutionary business ecosystem perspective.MethodsTo delve into the dynamics of Positive Energy Districts, we applied the business ecosystem framework to a real-world case study, namely the Hunziker Areal. Our research methodology involved the development and validation of a high-level conceptual model. This was achieved through workshops and guided interviews with experts engaged in pilot and research projects related to PEDs.ResultsThe study highlights the significance of employing a systemic approach to evaluate the potential of PEDs in enhancing housing sustainability while creating value for diverse stakeholders. Through the utilization of causal loop diagrams, key feedback loops explaining the diffusion of PEDs are identified. Moreover, the study reveals varying perceptions of PED utility among stakeholders, who assess the impact using different Key Performance Indicators (KPIs) such as CO2 target achievement and well-being. Key factors influencing technology adoption, such as low prosumer electricity unit cost, are also identified.DiscussionOur findings further shed light on crucial aspects affecting value capture and the attractiveness of the ecosystem to investors. Additionally, the study underscores the critical role of supportive policies and regulations in facilitating the diffusion and scalability of Positive Energy Districts.

Applicability and Effectiveness of UTAUT Model in Teaching and Learning Economics at FCT College of Education, Zuba, Abuja.

The integration of technology into education is increasingly crucial for preparing students for the demands of the 21st century. This study investigates the adoption and use of Information and Communication Technology (ICT) in teaching economics and social science courses at the FCT College of Education, Zuba, Abuja, utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) model as a theoretical framework. Through a mixed-methods approach including surveys and analysis of demographic data, the study examines various factors influencing technology adoption and usage behaviour among lecturers and students. Findings indicate that while ICT facilities are perceived as beneficial and easy to use, there is a need for enhanced technical support and assistance availability. The study underscores the importance of fostering a supportive environment for technology integration and recommends strategies to improve ICT adoption and utilization in educational settings.

Factors Influencing Technology Adoption in a Traditional Multinational Energy Company

Overview: Environmental concerns like climate change are prompting traditional companies such as those in the energy industry to adopt new technologies. Rapid technology adoption is important, especially if companies want to be responsive and at the same time maintain their competitive and strategic advantage. This article explores technology adoption in a traditional multinational energy company. Using a single case study approach, we explore how adoption of technology takes place at manager and employee levels and the implications therein. We identify three important factors—constructive tensions, open innovation, and knowledge standardization—which positively influence the pace of technology adoption. We offer important implications for practitioners involved in technology adoption.

Exploring Factors Influencing Technology Adoption among Generation Y: A Study of MOOC Users

The primary objective of this study is to investigate the factors affecting customers’ intention and usage of MOOC (Massive Open Online Course) in generation Y based on the UTAUT 2 (Unified Theory of Acceptance and Use of Technology 2). The paper opted for a quantitative method involving 150 MOOC (Skill Academy and My Skill) users collected by spreading an online questionnaire through social media. The data analysis method used is PLS-SEM. The results show that performance expectations, effort expectations, social influence, facilitating conditions, price values, and habitss have a positive influence on behavioral intention. However, hedonic motivation does not appear to have a significant effect on behavioral intention. Then behavioral intention has a significantly positive influence on usage behavior

Factors Influencing Technology Adoption in Online Learning among Private University Students in Bangladesh Post COVID-19 Pandemic

Technology acceptance in higher education, especially during and after the crisis of COVID-19, is very important in the current environment, especially in online learning adoption. This study aimed to determine the impact of performance expectancy, effort expectancy, social influence, and facilitating conditions on the adoption of the online line among university students in Dhaka in the post-pandemic period. In addition, the moderating role of voluntariness was also ascertained. In this quantitative study, primary data were collected using a survey method. The target population was students of private universities located in Dhaka, Bangladesh. There was a total of 130 respondents, and non-probability sampling was found to be more appropriate. Data were analyzed using the Smart-PLS system. The results revealed that effort expectancy was the most important predictor of intention to adopt online learning. The next significant predictor was facilitating conditions. However, it was found that performance expectancy and social influence were not significant predictors of intention to adopt online learning. Additionally, it was found that voluntariness was not a mediator. In terms of practical implications, educators and designers should focus on effort expectancy and facilitating conditions to increase online learning adoption.

Influencing Factors on Adoption of Modern Agricultural Technology in Developing Economy Countries

The adoption of advanced agricultural technologies is crucial in reducing poverty and improving food security on the developing economy countries. Despite the recognition of its importance, smallholder farmers in developing nations often face obstacles in adopting new technologies, leading to slow uptake. To better understand the factors that impact the use of agricultural technology in these nations, this study seeks to provide insights through a review of previous research on technology adoption. The results of the study highlight several key elements that determine whether or not agricultural technology is adopted, including factors related to the technology itself, the economic situation of farmers, the institutional and organizational affiliations of the farmers, and unique household factors. In order to fully comprehend the complexities involved in the adoption of agricultural technology, future research is recommended to include the perspectives and experiences of farmers. By considering their perceptions of new technologies, the range of factors influencing. The purpose of this paper is to gain a deeper understanding of the challenges faced by smallholder farmers in adopting new technologies and to identify opportunities for improvement. By considering their perceptions of new technologies, the range of factors influencing technology adoption can be broadened, providing a more comprehensive understanding of the subject. Keywords: Agricultural Technology, smallholder farmers, Adoption, developing economy countries, economic situations, household situations. DOI: 10.7176/DCS/13-2-01 Publication date: February 28 th 2023

INSIGHTS INTO TECHNOLOGY ADOPTION: A SYSTEMATIC REVIEW OF FRAMEWORK, VARIABLES AND ITEMS

The purpose of this study is to provide a comprehensive analysis of key variables and items in technology adoption frameworks. The study aims to identify strengths and weaknesses of different frameworks and provide recommendations for future research and best practices for implementation of technology adoption frameworks. The literature review reveals that the most commonly used technology adoption frameworks are the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), Technology-Organization-Environment (TOE) Framework, Task Technology Fit (TTF), and Innovation Diffusion Theory (IDT). The study is significant as it will provide insights into factors influencing technology adoption and help researchers and practitioners better understand the adoption process. The study utilized a systematic literature review approach and identified 50 relevant articles published between 2012 and 2023. The findings revealed several key variables and items in technology adoption frameworks, including perceived usefulness, perceived ease of use, social influence, facilitating conditions, behavioral intention, organizational context, task compatibility, user skills, user involvement, communication, and innovation characteristics. The comparison of variables and items across frameworks highlighted overlaps and unique aspects of each framework, with some frameworks being more comprehensive than others. The study’s findings have practical implications for organizations considering technology adoption, and can contribute to the development of more effective technology adoption frameworks that address the complexities of adoption in various contexts.

Bridging the Urban-Rural Divide: Exploring the Potential of Smart Technologies for Rural Micro-Enterprises in Yogyakarta City, Indonesia

The proliferation of smart technologies is revolutionizing the global business environment, offering growth and competitiveness opportunities for micro-enterprises facing resource, market access, and infrastructure challenges. Yogyakarta City, Indonesia, presents a diverse case, with both urban and rural areas experiencing varying technology adoption and infrastructure. Rural micro-enterprises in Yogyakarta grapple with issues like insufficient human resources, limited internet access, and technological barriers. This study aims to investigate the role of smart technologies in fostering the growth and competitiveness of micro-enterprises in the rural areas of Yogyakarta City, Indonesia, by identifying the key challenges and opportunities related to technology adoption and infrastructure development. To investigate the role of smart technologies in fostering the growth and competitiveness of micro-enterprises in rural areas of Yogyakarta City, Indonesia, a qualitative research method can be employed. This approach allows an in-depth exploration of participants' experiences, perspectives, and contextual factors influencing technology adoption. Through a qualitative study analysis on rural micro-enterprises in Yogyakarta City, Indonesia, the findings reveal limited awareness and misconceptions about smart technologies, inadequate infrastructure and connectivity, a lack of skilled workforce, financial constraints, insufficient government support, and cultural resistance to change as key challenges impacting the adoption of smart technologies, which underscores the need for targeted interventions to foster growth and competitiveness in these businesses.

PREDICTORS TO INCREASE SAFETY TECHNOLOGY ADOPTION IN CONSTRUCTION: AN EXPLORATORY FACTOR ANALYSIS FOR MALAYSIA

Accidents and injuries continue to be major problems in the construction industry despite persistent endeavours over the years to improve health and safety management. Novel approaches using emerging technologies can enhance construction safety performance. Given their limited adoption and lack of empirical evidence in the context of developing countries, this paper examines the predictors influencing the successful adoption of safety technologies in the construction industry. Using a survey questionnaire involving 133 Malaysian construction professionals, the significance of the predictors is prioritised. A factor analysis is used to reduce the predictors involved into a fewer number of dimensions. The most influential predictors are presented. Four underlying dimensions of the surveyed predictors are uncovered, comprising organisational commitment/technology orientation, supporting technological attributes, personal perception/performance expectancy and government support. The rate of technology implementation to improve safety risk mitigation in construction is still limited. By taking cognisance of the critical influential predictors involved, the adoption level of safety technology could be raised. This paper bridges the identified knowledge gap regarding the dimensionality of safety technology adoption predictors in construction, with findings that shed new light on the factors influencing technology adoption in a developing country to stimulate technological innovations to streamline construction safety.

Factors influencing technology adoption amongst small retailers: insights from thematic analysis

PurposeThe present study aims to understand small retailers' current use of various low-cost technologies and the factors responsible for small retailers' adoption. Furthermore, these factors of adoption were mapped back to beliefs within the theory of planned behaviour (TPB), and an attempt was made to understand if some of the beliefs dominated over the others and their implications.Design/methodology/approachThe study takes a qualitative approach comprising in-depth semi-structured interviews and direct observation. The qualitative data were analysed through a thematic analysis to identify technology adoption factors.FindingsAmongst the various technologies (mobile apps), payment and procurement apps were the most widely used. The authors identified eight factors influencing technology adoption: the top being customer demand for payment apps and convenience and cost-saving for procurement apps. The study also highlights the role of the dominant beliefs in technology adoption, which managers could use to improve adoption rates.Research limitations/implicationsThe current study is a cross-sectional study and the sample was predominantly of grocery retailers, limiting the generalisability of the results.Social implicationsSmall retailers face stiff competition from organised retail and e-commerce platforms which threatens small retailers' existence. Small retailers' survival is vital as many people depend on the small retail sector for livelihood. Increased use of technology seems the only way for them to stay competitive and increase profitability. The study's outcome could help increase technology adoption amongst small retailers and increase small retailers' competitiveness.Originality/valueDespite the widespread presence of small retailers in emerging economies, few studies have examined technology adoption amongst them. This study is also the first to use the TPB theory in the small retailer technology adoption context.

Assessing Factors Influencing Technology Adoption for Online Purchasing Amid COVID-19 in Qatar: Moderating Role of Word of Mouth

The COVID-19 pandemic developed new challenges for global consumers. In response to this disaster, digital technology users have faced the necessity to adopt and use specific technology apps for online shopping. This article examines how contingencies disrupt existing theoretical models and their implications for the post-COVID-19 era for online purchases. Customers prefer apps to use on the websites for search and purchase amid the COVID-19 crisis. The websites offer competitive advantages to apps for branding and CRM prospects. This motive keeps customers happy and satisfied with the website offers. This study focuses on consumer electronics and observes the comparative influence of fundamental elements (i.e., hedonic motivation, habits, perceived risk, technological trust, and technological awareness) on purchasing customer satisfaction. The study further examines the impact of customer satisfaction with online purchases with website continuance intention (WCI). Notably, this study explores the moderating effect of word-of-mouth (WOM) on the relationship between customer satisfaction with online purchases and website continuance intention. This study designed a web-based survey and recruited frequent visitors including international and citizens of Qatar for data collection. The study employed a purposive sampling technique and used three standardized psychological tools to obtain the data set needed to measure customer satisfaction with online purchases. The survey used a web link, distributed 600 questionnaires via email and social media, and received only 468 responses. After screening, only 455 were valid responses. The study showed a response rate of 75.83%. The study results showed that hedonic motivation, habits, perceived risk, and technological awareness were positively related to customer satisfaction with online purchasing. Besides, customer satisfaction with subsequent online purchases is also positively associated with website continuance intention (WCI). The results revealed that this relationship remained stronger when word-of-mouth (WOM) was higher. Hence, this shows that online shopping is seen as a vital and interesting activity in the Qatari context. The findings provide useful insights for future studies to explore the effects of COVID-19 on online purchase intentions.

Adoption of digital technologies for asset management in construction projects

Smart asset management can provide a framework for validating and improving asset performance, as well as collecting and incorporating reliable asset information into the decision-making process. In this context, this study analyzes the adoption of technology in the management of intelligent assets through multiple case studies, the technologies used, and the factors that possibly affect the level of technology adoption in asset management and a new method for operating. Technology-Organization-Environment framework and Technology Acceptance Model were used to analyze the main factors influencing technology adoption in intelligent asset management. The contribution of the study lies in the integration of asset management concepts and technology adoption. This integration allows structuring a theoretical framework for technology adoption by identifying the adoption factors in each phase of the asset management cycle in construction projects.

Sales Scale, Non-Pastoral Employment and Herders’ Technology Adoption: Evidence from Pastoral China

The adoption of livestock husbandry technologies has been an important factor affecting the welfare of herders and the efficiency of grazing-based livestock production and grassland protection in China’s pastoral areas. The small-scale herder is the main body of grassland-based grazing husbandry, and so technology adoption is particularly important, though it is currently scarce. To identify the factors influencing technology adoption behavior by Chinese herders, especially its effect on the scale of livestock sales and non-pastoral employment (NPE), we conducted a survey in the Gansu and Qinghai provinces of China with a sample of 296 herder households. The results show that the scale of livestock sale promotes the adoption of technology, while non-pastoral employment has a generally negative effect. In detail, the substitution effect of NPE is positive, but the wealth effect is negative. In addition, NPE and its wealth effect have moderating effects that can enhance the effect of the sales scale on the adoption of herders’ technology. After distinguishing the technologies into profit-seeking technology and pro-environmental technology, we found that NPE and its substitution effect have a significant influence on pro-environmental technology, while the wealth effect has a significant impact on both profit-seeking and pro-environmental technology. Environmental awareness and altruism also have significant positive impacts on pro-environmental technology. These findings are relevant to policy implications dealing with technology adoption in pastoral areas.

Explaining Interoperable Technologies Assimilation in Government: Technology, Organization and Environmental Perspective

Role of interoperable technologies in government to provide on-stop government services is well recognized. However, assimilation of interoperable technologies in government is not very encouraging. This article uses Technology-Organization-Environment (TOE) framework to provide a theoretical foundation for exploring assimilation of interoperable technology in government. Within this broad framework, various factors influencing technology adoption decision are selected from literature. For selecting environmental factors help of Institutional Theory is taken. A theoretical model and related propositions are provided to guide future research.

Cloud adoption in Indian SMEs – an empirical analysis

PurposeThis study aims to empirically validate the determinants of cloud adoption in small and medium enterprises (SMEs) in India and examine its impact on their economic performance.Design/methodology/approachAn integrated theoretical model interplaying technological, organizational and environmental aspects were applied for analyzing the variation in factors. Using data from 317 Indian SMEs, we have applied confirmatory factor analysis and structural equation modeling to test the hypotheses.FindingsThe results demonstrated that perceived usefulness, perceived ease of use, technology readiness, top management support and trust were the influencing drivers of cloud adoption in SMEs in India. Compared to previous studies, we did not find compatibility and competitive pressure as significant, suggesting that there was no single set of factors influencing technology adoption. Economic performance achieved by reduced transaction costs formed the basis of favorable adoption.Research limitations/implicationsThe integrated model can provide space for new dimensions based on the category and geography of the SMEs. The paper does not address the supply-chain perspective of cloud adoption.Practical implicationsThe study directs the firm owners to visualize business logic by creating a digital ecosystem. Further, the model guides the stakeholders, including cloud service providers, to contribute to the economic proficiency of the SMEs.Originality/valueThe paper empirically validates a model integrating both the drivers and consequences of cloud computing adoption as a unique study. Findings indicate that the usage of metrics such as return on investment and system efficiency form a part of the technology system approach.