Influence Technology Adoption Research Articles

Nurses' Use of mHealth Apps for Chronic Conditions: Cross-Sectional Survey.

Mobile health (mHealth) is increasingly used to support public health practice, as it has positive benefits such as enhancing self-efficacy and facilitating chronic disease management. Yet, relatively few studies have explored the use of mHealth apps among nurses, despite their important role in caring for patients with and at risk of chronic conditions. The aim of the study is to explore nurses' use of mHealth apps to support adults with or at risk of chronic conditions and understand the factors that influence technology adoption. A web-based cross-sectional survey was conducted between September 2022 and January 2023. The survey was shared via social media and professional nursing organizations to Australian nurses caring for adults with or at risk of chronic conditions. A total of 158 responses were included in the analysis. More than two-thirds (n=108, 68.4%) of respondents reported that they personally used at least 1 mHealth app. Over half (n=83, 52.5% to n=108, 68.4%) reported they use mHealth apps at least a few times a month for clinical purposes. Logistic regression demonstrated that performance expectancy (P=.04), facilitating condition (P=.05), and personal use of mHealth apps (P=.05) were significantly associated with mHealth app recommendation. In contrast, effort expectancy (P=.09) and social influence (P=.46) did not have a significant influence on whether respondents recommended mHealth apps to patients. The inability to identify the quality of mHealth apps and the lack of access to mobile devices or internet were the most common barriers to mHealth app recommendation. While nurses use mHealth apps personally, there is potential to increase their clinical application. Given the challenges reported in appraising and assessing mHealth apps, app regulation and upskilling nurses will help to integrate mHealth apps into usual patient care.

Factors Influencing Management of Human Excrement through Biogas Technology in Mukuru Kwa Njenga Slums, Nairobi City County Kenya

One of the factors influencing the achievement of sustainable sanitation is the proper disposal of human excrement. The problem is most prevalent in informal settlements, where sewerage systems are rare. One of the approaches considered sustainable is the conversion of human excrement into renewable energy via biogas technology. The purpose of the study, which was guided by Roger's theory of innovation diffusion, was to investigate the key factors that influence human excrement management through biogas technology. Mukuru Kwa Njenga slums were chosen as a study area. A sample of 100 people was selected using systematic random sampling. Data were analysed using a social science statistics package. Multiple linear regression was used to determine demographic factors that influence technology adoption. The Chi-square test was used to examine the relationship between various variables. Tables and charts were used to present the data. The study revealed that gender (p=.001) and education level (p=.000) significantly influence the use of biogas technology in the management of human excrement. Technology failure ((χ2= 10.301, p=.036) and lack of technical skills ((χ2= 7.518, p=.128) have no significant effect on the technology adoption rate. Cultural beliefs (χ2= 23.665, P=.000) have a significant effect on the use of biogas produced from human excrement. The ability of technology to prevent overflowing of faecal matter during heavy rainfall (χ2= 23.937, P=.000) and the prevention of odour from sanitation facilities (χ2=17.983, p= .001) has encouraged many residents to use the technology. The study concludes that technical and socio-economic factors, as well as its relative advantage over other excrement disposal methods, influence its adoption rate

Technology Adoption by Rural Women: A Unified Theory of Acceptance and Use of Technology (UTAUT2) Analysis

This article analyses the factors that affect the adoption of technology by rural women in the Umguza district of Zimbabwe. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, provides the theoretical framework for understanding the factors that influence rural women’s adoption of technology. By situating the investigation within the UTAUT2 framework, the study seeks to offer a more refined understanding of the determinants affecting technology adoption among rural women and the implications for inclusivity. A deductive approach was used, and information was collected through a survey of 250 rural women in the 19 wards of Umguza district, as well as reviewing secondary data in the form of government, non-governmental, industry reports and scholarly articles. Regression analysis was used to draw insights into the factors influencing the adoption of technology by rural women. The study concluded that Performance Expectancy (PE), Facilitating conditions (FC), Social Influence (SI) and Effort Expectancy (EE) influence technology adoption by rural women in Zimbabwe. However, Hedonic Motivation (HM), Price Value (PV) and Habit (HT) were found not to influence the decision to adopt the technology. The results of this study help to shed light on the factors affecting technology adoption among rural women and map strategies to promote technology adoption. The recommendations from this study can provide insights to government, private sector, and civil society seeking to promote the adoption of technology by rural women and contribute to the body of research on digitalisation and adoption of technology by rural women.

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.

Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption Predictions

This study addresses the critical challenge of accurately forecasting electricity consumption by utilizing Exponential Smoothing and Seasonal Autoregressive Integrated Moving Average (SARIMA) models. The research aims to enhance the precision of forecasting in the dynamic energy landscape and reveals promising outcomes by employing a robust methodology involving model application to a large amount of consumption data. Exponential Smoothing demonstrates accurate predictions, as evidenced by a low Sum of Squared Errors (SSE) of 0.469. SARIMA, with its seasonal ARIMA structure, outperforms Exponential Smoothing, achieving lower Mean Absolute Percentage Error (MAPE) values on both training (2.21%) and test (2.44%) datasets. This study recommends the adoption of SARIMA models, supported by lower MAPE values, to influence technology adoption and future-proof decision-making. This study highlights the societal implications of informed energy planning, including enhanced sustainability, cost savings, and improved resource allocation for communities and industries. The synthesis of model analysis, technological integration, and consumer-centric approaches marks a significant stride toward a resilient and efficient energy ecosystem. Decision-makers, stakeholders, and researchers may leverage findings for sustainable, adaptive, and consumer-centric energy planning, positioning the sector to address evolving challenges effectively and empowering consumers while maintaining energy efficiency.

Conceptualizing emerging technologies and ICT adoption: Trends and challenges in Africa-US contexts

This review paper explores the adoption trends, challenges, and opportunities surrounding Information and Communication Technology (ICT) and emerging technologies in the Africa-US contexts. It identifies key drivers influencing technology adoption and outlines innovative solutions for sustainable development by analyzing the current state of ICT infrastructure, policy frameworks, socio-economic factors, and cultural considerations. The comparative analysis highlights disparities between Africa and the US while emphasizing the potential for cross-continental collaborations. Implications for stakeholders, including governments, businesses, NGOs, and communities, and recommendations for fostering an enabling environment for technology adoption are discussed. By addressing gaps in research and embracing collaborative efforts, ICT and emerging technologies can drive transformative change, promoting inclusive growth and societal advancement in both regions.

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.

Breaking Barriers: Unraveling the Complexities of HR Tech Integration

This research aims to explore the factors that influence technology adoption by the Human Resources (HR) Department. The research method used is a systematic literature review using academic databases of international reputation over the last ten years. Research findings indicate that factors such as organizational culture, technology adoption, HR competencies, HR analytics, technology availability and accessibility, symbolic adoption, and organizational factors play an important role in HR technology adoption. An organizational culture that supports innovation and technology, as well as the technological competence possessed by HR personnel, are significant factors in influencing technology adoption. Additionally, adequate technology availability and strong organizational support were also found to contribute to higher technology adoption rates. The implications of this research indicate the need for organizations to pay attention to these factors in an effort to increase HR technology adoption. Suggestions for future research include longitudinal research to evaluate the long-term impact of HR technology adoption, as well as research across industries and cultural contexts to understand the factors that influence HR technology adoption more broadly.

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.

E-Governance and Development in Africa

This paper delved into the intricate relationship between e-government and development in Africa, assessing the impact of international politics, foreign aid, and global dynamics on e-governance projects. Challenges spanning financial constraints, inadequate legal frameworks, technological disparities, cyber security threats, and the need for local-context-driven strategies emerge as prominent hurdles. The paper employed a comprehensive literature review that investigated the nexus between e-governance and development in Africa; with a particular focus on the influence of international politics. It was revealed that successful e-government implementation can lead to reduced corruption, increased transparency, and revenue growth. The paper also discovered that African countries often rely on foreign aid for such projects, and global power dynamics influence technology adoption and infrastructure development, presenting implementation challenges. It was further established that African countries face challenges that include financial constraints, inadequate legal frameworks, infrastructural deficiencies, and implementation hurdles. Key recommendations include establishing robust monitoring mechanisms, prioritizing investment in e-governance, enhancing capacity building, diversifying funding sources, and addressing systemic challenges to facilitate effective e-governance implementation

The state of digital technology and innovation development: The comparative position of Thailand in ASEAN

AbstractThe ASEAN Digital Masterplan 2025 highlights five key components for regional development including Sustainable Infrastructure, Digital Technology and Innovation, Seamless Logistics, Regulatory Superiority, and Workforce Mobility. To effectively execute this strategy and boost the impact of the ASEAN Economic Community, it is imperative for Thailand and other member nations to prioritize the development of digital technology and foster innovation. The Thai government and responsible units have initiated policies and programs to boost the capabilities of public and private enterprises during the remedy period of the COVID‐19 pandemic. Digital technology is pivotal in achieving national strategies, and innovation is increasingly reliant on it, influencing technology adoption across industries. The level of innovation can reflect the level of technology adoption in each sector. The study compares Thailand with other ASEAN economies based on the development of national income, digital technology, and innovation using seven key indicators of the Global Innovation Index. These essential factors are used to determine national and economic development. The study aims to provide practical insights, address challenges, and offer specific recommendations for real‐world decision‐making and policy formulation, focusing on economic growth, increased innovation, and reduced income disparities. It suggests that Thailand can enhance its attractiveness by prioritizing national strategies, forming partnerships within the country, and building strong relationships with other ASEAN members to maintain competitiveness. The strengths and weaknesses of each ASEAN member are identified for targeted actions to drive the success of the ASEAN Digital Masterplan 2025.

Understanding agricultural grower’s information seeking: An analysis of Internet sources

Information is indispensable for the sustainability and growth of every type of business. Farmers are also among those who cannot survive without the proper acquisition and application of Information. However, very few studies have considered the farmer’s need for and the seeking of information which is why to fill this gap, the study looked into the information sources used by farm growers to get the required information, the influence of land size on the utilization of information sources, and how different characteristics related to sources and individuals influence attitude toward the usage of internet sources and provided a model that takes into consideration crucial factors and their influence on attitude toward searching for information from Internet sources. Data were acquired from 400 farmers using a multistage stratified disproportionate sampling procedure and a standardized questionnaire. For evaluating the given data, various analysis techniques were utilized such as Descriptive statistics, Correlation analysis, One-way ANOVA, Factor analysis, and Multiple regression Analysis. The data were evaluated by using SPSS version 25. Farmers, according to the findings, mostly rely on other farmers and input dealers, and mass media sources of information like radio, television, magazines, and newspapers, to acquire information associated with agricultural activities. They commonly utilize mobile social media apps when surfing the internet. Furthermore, the findings discovered that there is a significant difference in the usage of various sources of information, including television, radio, newspapers/magazines, other farmers, input dealers, Krishi Vigyan Kendras, Krishi melas, the state department of agriculture, state agriculture universities, and the Internet on mobile phones-social media applications, depending on the farmers’ farm size. The findings also revealed that the factors that were significantly positively associated with farmers’ attitudes about internet use were, perceived usefulness, ease of use, information quality, facilitating conditions, and social influence. The technology Acceptance Model was used as the foundation for the research framework. By examining past research, the study has discovered additional factors that may influence technology adoption in addition to the two main components of the Technology Acceptance Model, namely perceived usefulness and perceived ease of use. The proposed model may assist information providers in their attempts to lessen and overcome barriers to farmers’ usage of technology. When building effective extension and dissemination programs, the preferred information-gathering modalities of a certain group of farmers should be considered. Intervention techniques must take into account the wide range of information that needs to be seen in farming communities. As a result, information providers must provide context-specific information through the sources that farmers prefer, while also considering the factors that influence their adoption and overcoming those barriers that prohibit farmers from using such sources. The study categorized farmers into four categories based on land size, which would assist information providers in acquiring a thorough grasp of each category of farmer and in developing separate and unique strategies for each type of farmer.

Technology co‐design and feasibility of a smartwatch‐based interventions to support ADL in people with dementia

AbstractBackgroundThe number of smartwatch users worldwide continuously increased within the last 5 years. Still, older adults and patients with dementia miss to profit from opportunities of wearable assistive technologies. Factors that influence technology adoption were reviewed extensively in theory, based on theoretical models and scales, but empirical evidence is scarce.MethodWe hypothesized that interventions from smartwatches can trigger certain behaviors in PwD or persons with MCI to address specific domains which are affected in neurodegenerative diseases. Based on semi‐structured interviews with caregivers, medical experts and persons with dementia (n = 10, respectively) we identified four domains with need for assistance. After prototype testing, we implemented two tasks presented by the smartwatch, covering the domains “nursing” and “activity”. The watch prompted the user to A) drink some water and B) circle bells on a worksheet. Participants were randomly assigned to group 1 (regular, n = 20) or group 2 (intensive, n = 20). The modes varied in intervention‐intensity with two different levels of vibration intensity, loudness and additional animations. If patients did not react as intended, interventions were repeated up to three times, irrespective of the group. Observations took place in a university hospital. Patients’ reactions were remotely observed via cameras. Participants’ feedback was obtained with questionnaires after the observation.ResultParticipants of group 1 and 2 did not differ with respect to mean age, cognition (MMST) or sex. Interventions in intensive mode were more often successful (n = 30/40) than regular interventions (n = 18/40). “Non‐responder” (patients that completed no task) were only found in group 1 (n = 6). Task A was completed more often (n = 32/40) than task B (n = 16/40). Surprisingly, repetitions improved the outcome only in 4 cases, but failed in 32 cases. The vast majority of participants reported sufficient visibility and audibility of smartwatch content (n = 35/40). Obtaining users’ feedback was challenging via usability questionnaires, which contained negatively and positively worded items on a 5‐step Likert scale.ConclusionSmartwatches can be customized to interact positively with older adults with cognitive impairment and influence behavior of PwD or MCI at least on short‐term. Further empirical studies are necessary to enhance design and functional range of devices.

The Role of Attitude in the Unified Theory of Acceptance and Use of Technology: A Meta-analytic Structural Equation Modelling Study

The Unified Theory of Acceptance and Use of Technology (UTAUT) model has been widely used to explain user intention and use behavior. Past research has added attitude to the UTAUT framework to examine further how it influences technology adoption. This study utilized a combined meta-analysis and structural equation modelling [approach] to examine how the model, when extended with attitude as a variable, differs from its original UTAUT model and whether there are emerging relationships among the existing constructs. Based on 21 empirical studies that included attitude in various extended models, the results showed that attitude was a significant predictor of behavioral intention and use behavior. The study also revealed that facilitating conditions emerged as the strongest predictor of use behavior in the presence of attitude as a construct. In conclusion, while the inclusion of attitude as a separate construct in the UTAUT model has provided a more comprehensive understanding of technology adoption and usage behavior, this study showed that it did not enhance its explanatory power.

Rooftop solar, electric vehicle, and heat pump adoption in rural areas in the United States

The deployment of residential rooftop solar, electric vehicles (EVs), and heat pumps is critical to meet climate goals. We evaluate historical community- and household-level technology adoption patterns in rural areas, and explore associations with housing, socioeconomic, demographic, political, spatial, and energy equity characteristics. We reveal several emergent patterns and disparities in rural technology adoption. We find that higher educational attainment and democratic voting rates are significant predictors of adoption across all residential technologies. Specifically, EV adoption shows the highest association with democratic voting rates. We also find that rooftop solar adoption is most significantly inversely associated with energy burden, while there is a high degree of spatial dependence in heat pump adoption. Rooftop solar and EV adoption are particularly correlated at household, community, and state levels. Findings suggest that designing policies and programs that promote information diffusion, target low-income renters, and are tailored to the geographic and political context may together increase technology adoption rates and ensure more equitable diffusion. By identifying the factors that influence technology adoption in rural areas, we aim to inform the development of policies and programs that can facilitate the widespread deployment of clean energy technologies and contribute to the achievement of climate goals.

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.