Drivers Of Adoption Research Articles

Innovating Built Environment Education to Achieve SDG 4: Key Drivers for Integrating Augmented Reality Technologies

Augmented Reality Technologies (ARTs) are increasingly pivotal in transforming various industries, with notable implications for the built environment sector. This article delves into the drivers of ART adoption for education and training within the built environment, focusing on its role in enhancing educational delivery and operational efficiency. Utilising a structured survey distributed among professionals in South Africa’s built environment, this study employs descriptive and inferential statistics to analyse the data, identifying key trends and correlations. Our results demonstrated that ART significantly enhances task accuracy, fosters better collaboration and mitigates misinformation, thereby improving training and education outcomes. Professionals particularly highlight ART’s capacity to bridge the gap between theoretical knowledge and practical site experience, underscoring its value in preparatory education and on-site training. Furthermore, the analysis revealed that the integration of ART into educational curricula and professional practices not only augments learning experiences but also propels safety and quality in construction projects. Given these findings, this study strongly recommends that stakeholders in the construction and educational sectors in South Africa prioritise the adoption of ART to fully leverage its benefits for innovation and competitive advantage in the built environment.

Drivers of Chatbot Adoption among K–12 Teachers in Saudi Arabia

The aim of the current study was to identify the factors influencing teachers’ acceptance of using chatbots in education. To achieve this, we employed the descriptive method, applying the conceptual framework of the unified theory of acceptance and use of technology (UTAUT2) to a sample of 406 teachers from the Eastern Province in Saudi Arabia. By applying structural equation modelling (SEM), the research results revealed that the most influential factors of chatbot acceptance among Saudi teachers were artificial intelligence literacy, followed by hedonic motivation, and then social influence. Meanwhile, performance expectancy, effort expectancy, and facilitating conditions were not significant indicators of teachers’ acceptance of using chatbots in education. In light of these findings, we recommend the following actions: focusing on artificial intelligence literacy for teachers, holding specialised workshops on chatbot applications in education, enhancing teachers’ motivation to use chatbots, and forming professional communities for teachers to exchange experiences and knowledge.

Exploring the critical drivers of blockchain technology adoption in Indian industries using the best-worst method

PurposeThe purpose of our research on blockchain technology is to unveil its immense potential, understand its applications and implications and identify opportunities to revolutionize existing systems and processes. This research aims to inspire the creation of new innovative solutions for industries. By harnessing blockchain technology, organizations can pinpoint key areas that could significantly benefit from its use, such as streamlining operations, providing secure and transparent digital solutions and fortifying data security.Design/methodology/approachThis study presents a robust multi-criteria decision-making framework for assessing blockchain drivers in selected Indian industries. We initiated with an extensive literature review to identify potential drivers. We then sought the opinions of experts in the field to validate and refine our list. This meticulous process led us to identify 26 drivers, which we categorized into five main categories. Finally, we employed the Best-Worst Method to determine the relative importance of each criterion, ensuring a comprehensive and reliable assessment.FindingsThe authors have ranked the blockchain drivers based on their degree of importance using the Best-Worst Method. This study reveals the priority of BC implementation, with the retail industry identified as the most in need, followed by the Banking and Healthcare industries. Various critical factors are identified where blockchain technology could help reduce costs, increase efficiency and enable new innovative business models.Research limitations/implicationsWhile this study acknowledges potential bias in driver assessment relying on literature and expert opinions, its findings carry significant practical implications. We have identified key areas where blockchain technology could be transformative by focusing on select industries. Future research should encompass other industries and real-world case studies for practical insights that could delve into the adoption challenges and benefits of blockchain technology in many other industries, thereby amplifying the relevance of our findings.Originality/valueBlockchain is a groundbreaking, innovative technology with immense potential to revolutionize industries. Past research has explored the benefits and challenges of blockchain implementation in specific industries or sectors. This creates a gap in research regarding systematically classifying and ranking the importance of blockchain across different Indian industries. Our research seeks to address this gap by using advanced multi-criteria decision-making techniques. We aim to provide a comprehensive understanding of the significance of blockchain technology in critical Indian industries, offering valuable insights that can inform strategic decision-making and drive innovation in the country’s business landscape.

Investigating the Key Drivers in the Transition to Sustainable Hydrogen Transportation Fuel

Introduction. Hydrogen is a promising energy carrier that can achieve net-zero carbon emissions and decrease fossil fuel dependency. However, the importance of the driving forces in hydrogen adaptation and acceptance during the transition to this technology should be emphasised. When assessing hydrogen as a sustainable transportation fuel, defining the success criteria is vital to comprehend the benefits of hydrogen in the transition process. The transport sector is a priority area for the transition to zero emissions, which requires an understanding of the links between the key drivers of hydrogen adoption in transportation. Aim and tasks. This study aims to identify the key drivers of the hydrogen transition and explore the relationship between the transition drivers to hydrogen as a sustainable transport fuel based on a comprehensive literature review and an interpretative structural modelling approach to determine the relationship between the above-mentioned key drivers. Results. This study identified key drivers for the transition to hydrogen as a sustainable transport fuel using the Interpretive Structural Modelling (ISM) approach. This study examines the potential of hydrogen transition, analyses the driving forces, and examines their interrelationships in terms of driving force and dependent force. The role of technological development and transition awareness in achieving the SDGs is revealed. Robust regulatory agendas and supportive strategies, Workforce development and training based on hydrogen deployment, and Industry partnerships and collaboration are the most fundamental drivers for achieving the transition to hydrogen as a sustainable transport fuel. In addition, the advancement of hydrogen technologies in production, storage, and transportation, as well as hydrogen production and use, aligns with environmental aims, which are key factors that depend mainly on the actions of other driving forces. However, the limitations of this study include subjectivity and potential differences in the driving forces across countries and sectors. Conclusions. The deployment of green hydrogen transition for a clean energy source is critical in carbon-intensive sectors of the economy, which are characterised by key drivers and their interlinkages, such as regulatory strategies, workforce development, and industry partnerships. This has increased the flexibility of energy systems with the collaboration of the stakeholders for developing hydrogen technologies and infrastructure, considering the environmental safety, economic efficiency, and social acceptability of hydrogen.

Drivers for IPSAS Adoption: Context-Related Factors in Public Sector Innovation

ABSTRACT This study aims to characterize and contextualize the integration of accrual accounting into public sector accounting systems through International Public Sector Accounting Standards worldwide. Addressing a gap in cross-country empirical research, we explore links between accounting and sociopolitical, economic, and technological systems. Our study offers empirical evidence of IPSAS drivers, uniquely relying on public sector innovation contextual variables to identify adoption determinants. Furthermore, our research addresses a gap in the literature by employing a critical quantitative methodological approach. The results reveal that national contextual factors along with the organizational and external factors in which the public sector operates, influence IPSAS adoption.

Assessing Drivers Influencing Net-Zero Emission Adoption in Manufacturing Supply Chain: A Hybrid ANN-Fuzzy ISM Approach

Nowadays, there is a constant focus on implementing the net-zero emission (NZE) concept in the manufacturing supply chain (MSC). To reduce emissions and improve organisational efficiency, adopting the net-zero concept is a prevalent trend in today’s highly competitive global business environment. Governments and stakeholders are pressuring the manufacturing sector to use natural resources efficiently and reduce environmental impacts. As a result, the manufacturing industry is focusing on cleaner production using net-zero practices. This study aims to identify and analyse the interaction among the drivers of net-zero adoption in the MSC. Through a systematic literature review (SLR), a list of drivers was recognised. To validate these drivers, we conducted an empirical study with 173 respondents from the Indian manufacturing industry. Further, we employed an artificial neural network (ANN) to weigh the nonlinear effect of drivers. Fuzzy interpretive structural modelling (F-ISM) was used to identify the interaction relationships among the drivers and construct a hierarchical structure among these identified drivers. The fuzzy matrix of cross-impact multiplications applied to the classification (F-MICMAC) method was used to categorise these drivers into driving and dependent categories. The outcomes of ANN show that Environmental predictors (100%) emerged as the most significant drivers, followed by Economic drivers (60.38%) and Technological drivers (59.05%). This study is a valuable resource for academia and industry professionals, providing essential insights into how adopting net zero facilitates the manufacturing industry’s ability to achieve net zero across the supply chain.

Analysis of the drivers and barriers influencing artificial intelligence for tackling climate change challenges

PurposeFacilities management (FM) organizations are pivotal in enhancing the resilience of buildings against climate change impacts. While existing research delves into the adoption of digital technologies by FM organizations, there exists a gap regarding the specific utilization of artificial intelligence (AI) to address climate challenges. This study aims to investigate the drivers and barriers influencing the adoption and utilization of AI by South African FM organizations in mitigating climate change challenges.Design/methodology/approachThis study focuses on South Africa, a developing nation grappling with climate change’s ramifications on its infrastructure. Through a combination of systematic literature review and an online questionnaire survey, data was collected from representatives of 85 professionally registered FM organizations in South Africa. Analysis methods employed include content analysis, Relative Importance Index (RII), and Total Interpretative Structural Modeling (TISM).FindingsThe findings reveal that regulatory compliance and a responsible supply chain serve as critical drivers for AI adoption among South African FM organizations. Conversely, policy constraints and South Africa’s energy crisis emerge as major barriers to AI adoption in combating climate change challenges within the FM sector.Originality/valueThis study contributes to existing knowledge by bridging the gap in understanding how AI technologies are utilized by FM organizations to address climate challenges, particularly in the context of a developing nation like South Africa. The research findings aim to inform policymakers on fostering a conducive environment for FM organizations to harness AI in fostering climate resilience in built assets.

Attitudes and perceptions of Chinese oncologists towards artificial intelligence in healthcare: a cross-sectional survey.

Artificial intelligence (AI) is transforming healthcare, yet little is known about Chinese oncologists' attitudes towards AI. This study investigated oncologists' knowledge, perceptions, and acceptance of AI in China. A cross-sectional online survey was conducted among 228 oncologists across China. The survey examined demographics, AI exposure, knowledge and attitudes using 5-point Likert scales, and factors influencing AI adoption. Data were analyzed using descriptive statistics and chi-square tests. Respondents showed moderate understanding of AI concepts (mean 3.39/5), with higher knowledge among younger oncologists. Only 12.8% used ChatGPT. Most (74.13%) agreed AI is beneficial and could innovate healthcare, 52.19% respondents expressed trust in AI technology. Acceptance was cautiously optimistic (mean 3.57/5). Younger respondents (∼30) show significantly higher trust (p = 0.004) and acceptance (p = 0.009) of AI compared to older respondents, while trust is significantly higher among those with master's or doctorate vs. bachelor's degrees (p = 0.032), and acceptance is higher for those with prior IT experience (p = 0.035).Key drivers for AI adoption were improving efficiency (85.09%), quality (85.53%), reducing errors (84.65%), and enabling new approaches (73.25%). Chinese oncologists are open to healthcare AI but remain prudently optimistic given limitations. Targeted education, especially for older oncologists, can facilitate AI implementation. AI is largely welcomed for its potential to augment human roles in enhancing efficiency, quality, safety, and innovations in oncology practice.

Drivers of metaverse adoption for enhancing marketing capabilities of retail SMEs

Small and medium-sized enterprises (SMEs) rely on a thriving distribution network and digital technologies, including the metaverse, to remain competitive. The retail industry is perceived as a portfolio-based and granular business. Hence, retail SMEs can be a key source of innovation and a major source of growth that need technical flexibility to react quickly to changing customer needs. Therefore, grounded in the TOE framework, this study is undertaken to explore the drivers of metaverse adoption for enhancing the marketing capabilities of retail SMEs. Online surveys were used to gather primary data from 300 marketing practitioners employed in retail SMEs. Subsequently, the data were analysed using quantitative research methodology. The finding reveals that the metaverse is gaining attention from retail SMEs due to its technological, organisational, and environmental drivers, as well as its ability to provide immersive experiences to customers. Thereafter, metaverse adoption enhances the marketing capabilities of SMEs with new sales channels, tailored marketing, and increased customer reach with an understanding of the marketplace focused on customer relations, market research, and cross-management capabilities.

أثر التجارة الإلكترونية على سلوك المستهلكين في قطاع تجارة التجزئة في المملكة العربية السعودية

E-commerce in Saudi Arabia is experiencing rapid growth, driven by technological advancements and government initiatives aligned with Vision 2030. This research aims to understand the impact of e-commerce on consumer behavior in the retail sector by examining factors influencing e-commerce adoption, the challenges consumers face, and how digital transformations affect traditional businesses. The study gathered data from consumer surveys, government reports, and previous studies, using analytical models to understand the relationships between variables and their impact on consumer behavior. Survey results revealed that e-commerce has significantly changed purchasing habits among Saudis, with many preferring online shopping due to convenience and a wide range of options. The key drivers for e-commerce adoption include convenience, time savings, and product variety, while economic factors like competitive pricing play a significant role in attracting consumers. Trust and security in e-commerce platforms are critical, as consumers seek assurance regarding the protection of their financial information and product quality. Consumers face challenges such as product description accuracy, return difficulties, and concerns about data privacy. Digital transformation pressures traditional businesses to adopt digital strategies to remain competitive. Small businesses face difficulties adapting but show potential for innovation through partnerships with major e-commerce platforms. Data shows a remarkable increase in e-commerce revenue in Saudi Arabia from SAR 38.8 billion in 2020 to SAR 204 billion in 2024, with the number of stores rising from 28,676 to 57,000 during the same period. To sustain this growth, companies need to invest in long-term strategies and diversify revenue streams. The Saudi government plays a crucial role in supporting this sector by improving digital infrastructure, enhancing cybersecurity, and supporting startups. By adopting these recommendations, the online shopping experience can be improved, ensuring customer satisfaction and the continued growth of this vital sector.

To Assess Factors Affecting Pension Subscribers’ Behavioral Intentions to Adopt Technology in The Pension Schemes

This study explores the behavioral intentions of pension subscribers in Ghana to adopt technology in their pension schemes, grounded in the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2). A quantitative correlational design was used, analyzing data from 1,539 pension subscribers through Structural Equation Modeling (SEM) to understand the relationships between key factors. The findings reveal that performance expectancy and effort expectancy are significant predictors of technology adoption, underscoring the importance of perceived benefits and ease of use. Interestingly, social influence did not significantly impact adoption, suggesting that pension subscribers make independent decisions regarding technology use, uninfluenced by peers or social circles. Facilitating conditions and price value were crucial, indicating the need for supportive infrastructure and cost-effectiveness to encourage adoption. Contrary to expectations, hedonic motivation negatively influenced adoption intentions, emphasizing that functionality is prioritized over entertainment in the pension sector. Habit emerged as a strong predictor, showing that ingrained technology use positively affects adoption intentions. This research offers theoretical insights into technology adoption in the pension sector of a developing country and practical guidance for policymakers and pension service providers on fostering technology uptake among subscribers. By examining the specific socio-economic and cultural factors in Ghana, this study contributes a nuanced understanding of technology adoption drivers in the pension sector, providing empirical evidence from a less-explored context and highlighting unique influences in this domain.

From building blocks to digital networks: analyzing critical drivers for social media adoption in the construction sector

Despite the growing recognition of social media’s potential benefits in the construction industry, there is a lack of in-depth research examining the specific drivers that influence its adoption. Therefore, this study fills this gap by empirically investigating the drivers influencing the adoption of social media in the construction sector of a developing country such as Nigeria. This objective was achieved through a quantitative research approach, involving the utilization of a well-structured questionnaire to gather responses from construction professionals, including architects, builders, engineers, quantity surveyors and estate managers. These professionals were sampled using a combination of purposive and snowball sampling techniques. The obtained data underwent analysis using various statistical methods, including descriptive statistics and inferential statistics such as exploratory factor analysis (EFA) and Horn Parallel Analysis. The EFA revealed four clusters of drivers: communication and collaboration, operational efficiency and risk management, marketing and branding and knowledge sharing and learning. The findings of this study offer valuable guidance for construction firms and professionals seeking to harness the power of social media. Understanding the specific drivers within each cluster can inform strategic decisions regarding the selection and implementation of social media tools.

The determinants of IT audit usage in Saudi Arabia with specific reference to computer audit assisted tools

Purpose The purpose of this study is to investigate the determinants and the intention to use information technology (IT) audit technologies. Design/methodology/approach The research model explores the external and internal factors that influence IT audit usage in Saudi Arabia. The external factors include IT audit education, professional support provided by professional accounting and auditing bodies, external pressure and social factors. The internal factors include the firm’s organizational support, complexity of accounting information systems, IT audit competency, adoption risk, ease of use and readiness. These factors affect the intention to use IT audits, represented by the perceived benefits and intention to use IT audits, which in turn affect IT audit usage. The study uses structural equation modelling to estimate a sample size of 261 respondents. Findings The findings suggest that internal factors significantly influence both IT audit usage and intention to use IT audits. However, the external factors exhibit insignificant associations with IT audit usage. The findings also indicate that IT auditors in Saudi Arabia heavily rely on Microsoft Excel, Microsoft Word and email/Outlook as essential IT audit tools. However, the findings reveal that there is still a role for specialized IT audit tools such as generalized audit software and Audit Command Language but this usage is marginal. Practical implications The present study provides significant insights for auditors, companies’ boards, professional bodies and policymakers to enhance the development and usage of IT audits. The study revealed the absence of supportive external factors that policymakers and professional bodies should exercise in this regard. The findings also indicate that IT audit education and capacity programmes are required to promote competency and adoption of IT audit technologies. Originality/value The study contributes to IT auditing by identifying significant factors influencing IT audit adoption. It underlines the relevance of internal and external determinants and perceived benefits as drivers of IT audit adoption. The current study provides an original piece of research that highlights a comprehensive investigation of the determinates of IT audit usage in a developing country that is shifting towards artificial intelligence and IT advancements.

Drivers of platform ecosystem adoption: does innovation capability translate these drivers into improved firm performance

Drivers of platform ecosystem adoption: does innovation capability translate these drivers into improved firm performance

Mobile fintech adoption in Sub-Saharan Africa: A systematic literature review and meta-analysis

Financial technology (fintech) has become an important means of promoting financial inclusion in developing countries. Understanding why people use fintech services is crucial for improving financial inclusion and policy development. This study examines the drivers of mobile fintech service adoption in Sub-Saharan Africa, a region with the lowest financial inclusion rates in the world. We analyze the determinants of the use of mobile money, mobile banking, electronic wallets, and internet banking by summarizing the extensive empirical research through a systematic literature review. Based on a meta-analysis, we conclude that perceived ease of use and perceived usefulness are most important. We also find a lack of research on how the supply side drives fintech adoption. Finally, we find large-scale field experiments to be underrepresented in the literature. Policymakers should focus on enhancing digital and financial literacy and setting standards for technology compatibility to create a supportive regulatory environment for wider mobile fintech adoption in Sub-Saharan Africa.

Adoption of Artificial Intelligence Chatbot Technology in Academic Activities of Jakarta Students: Ease of Use

Artificial Intelligence (AI) Chatbot technology has garnered significant attention recently as an innovative solution for various needs, from learning to counseling. However, its adoption among university students remains a crucial research area. This study aims to understand the usage patterns of university students in Jakarta regarding Chatbot technology, focusing on usage frequency, ease of use, and factors influencing adoption. Conducted from March to May 2024, the research involved 100 students from various Jakarta universities, selected through convenience sampling to capture diverse characteristics. Data collection methods included document studies and questionnaires. The analysis identified the level of Chatbot technology adoption among Jakarta students and the factors influencing it. Results indicate a high frequency of Chatbot use, with perceived usefulness, ease of use, and comfort being the primary drivers of adoption and positive attitudes toward this technology. This study provides significant insights for companies developing Chatbot technology, offering an in-depth understanding of students' preferences and behaviors. These insights can guide companies in creating more effective marketing strategies and enhancing Chatbot design and functionality to be more user-friendly and aligned with user expectations, thereby increasing adoption rates and user satisfaction.

The adoption of smart services: do privacy concerns, trust in benevolence and usage experience matter?

PurposeThe purpose of this research is to investigate the influence of service provider benevolence trust and privacy concerns on the intention to adopt smart services (SS), in line with the privacy paradox. It also seeks to analyze the role of smart connected product (SCP) usage, between current and potential users.Design/methodology/approachThe study specifically focuses on one type of SS: smart-connected car insurance based on the “pay as you drive” and/or “pay how you drive” principle. Data were collected through an online survey of 362 French drivers. Hypotheses are tested using structural equation modeling and a multigroup confirmatory factor analysis.FindingsThe results show that trust in the benevolence of the service providers positively influences the intention to adopt SS, regardless of how familiar consumers are with SCP. Conversely, privacy concerns have a negative impact on such intention, but this effect only occurs among consumers who already own SCP.Practical implicationsFrom a managerial perspective, this research could help service providers to successfully develop and promote SS, by establishing a relationship based on benevolence and transparency regarding the use of personal information. In addition, managers should promote SS differently when addressing SCP users, seeking to reassure them or avoid addressing privacy concerns.Originality/valueOur study adds to the privacy paradox theoretical framework by empirically analyzing drivers of SS adoption. It highlights the key but distinct roles of privacy concerns and benevolence trust.

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.

Exploring drivers of fintech adoption among elderly consumers

As the digital economy expands, understanding the integration of elderly consumers into this paradigm becomes crucial. This study presents a nuanced exploration of the factors that influence elderly consumers' adoption of fintech services and elucidates the pivotal role of daily digital experiences in fostering the elderly's acceptance of such services. Employing an integrative approach, this study examines demographic, personal, socioenvironmental, and digital usage characteristics, through South Korean panel data (N = 3465) from 2019 to 2020. The findings uniquely identify the 50–64 age group and those cohabitating with younger generations as being more inclined toward fintech usage. This study introduces a novel perspective by demonstrating that elderly individuals' enjoyment of digital media and their engagement with younger generations significantly drive their involvement with fintech services. The elderly exhibits substantial potential as proactive fintech users, navigating perceived risks with discernment. This study contributes to the academic discourse by offering comprehensive insights into elderly consumers' fintech adoption, highlighting the importance of understanding this demographic's unique preferences and interactions with the digital economy. It also underscores the potential for targeted strategies to enhance fintech service adoption among the elderly and foster a more inclusive digital finance landscape.

Drivers of Small-Scale Farmers' Adoption of Mobile Phone Technology for Rice Production and Marketing in Dodoma Region

Despite the benefits of Mobile Phone Technology (MPT) in enhancing agricultural communication in Tanzania, a significant gap exists between the rise in mobile phone subscriptions and the actual adoption of MPT by farmers for agricultural production and marketing. This study utilised multinomial logistic regression to analyse factors influencing MPT adoption among 454 small-scale farmers in Bahi District, Dodoma Region. The findings indicated that 62 percent of the farmers adopted MPT, while 38 percent did not. Key factors influencing MPT adoption for rice production communication only included; having household members under 15 years, mobile phone ownership, time spent on using mobile phones, land size, use of hired labour, market distance and distance to all-weather roads. This study revealed that significant determinants for the adoption for rice marketing communication only were farmer’s sex, time spent on mobile phones and market distance. Further, the study showed that significant factors for the adoption for combined rice production and marketing communication were the farmer’s education level, mobile phone ownership, land size, use of family and hired labour, and market distance. Understanding these factors provides a foundation for developing interventions to increase MPT adoption among key stakeholders. Increased adoption of MPT will improve access to market information and agricultural practices in rural areas, thereby enhancing rice production and marketing and improving farmers’ livelihoods.