Drivers Of Adoption Research Articles

Understanding Divergent Views on Nearly Zero- Energy Buildings between Developers and Procurers in Romania

This study investigates the awareness, perceptions, and preparedness of Romanian construction developers and public procurement specialists in relation to nearly Zero-Energy Buildings (nZEBs), focusing on factors that influence their adoption. Employing a mixed-methods approach, the research analyzes 193 validated questionnaire responses and insights from interviews with four industry experts. The findings reveal a significant disparity in familiarity with nZEB, with developers exhibiting greater awareness than procurers. Compliance with regulations emerges as the primary driver for nZEB adoption, while high upfront costs and a scarcity of qualified workforce are major barriers. Additionally, the complexity and fragmentation of Romanian legislation on nZEB standards creates ambiguities and further hinders effective implementation. Despite these challenges, developers express moderate optimism about Romanian construction companies' adaptability to future nZEB demands, whereas procurers remain less confident. The study underscores the critical role of proactive policy interventions, clear public procurement criteria, and collaborative strategies in aligning government-funded projects with energy efficiency goals. By addressing systemic barriers and fostering innovation, this research provides policymakers and stakeholders with actionable insights to facilitate a smooth transition to sustainable building practices in Romania.

Adoption of Innovative Energy Facilities in the Tertiary Sector Buildings: Exploring Interdependencies and Key Drivers

Innovative energy facilities, such as solar panels, heat pumps, and smart control ventilation, offer substantial opportunities to improve energy efficiency and environmental performance in the tertiary sector, aligning with green building objectives. This study aims to identify the key factors influencing the adoption of these facilities by small and medium-sized enterprise owners in the tertiary sector and to explore the interdependencies among them. To achieve this, we employed a stated choice experiment to assess preferences and decision-making by presenting respondents with multiple hypothetical scenarios, each containing alternatives described by varying attributes. A simultaneous equation model was used to analyze the key drivers of adoption and the interrelationships among these facilities. The results reveal that cost-related attributes and government incentives significantly impact the acceptance of energy facilities. Notably, while environmental responsibility is slightly associated with solar panel adoption, it shows no significant link with heat pumps or ventilation systems. Furthermore, we identified a bi-directional relationship between the adoption of solar panels and heat pumps, suggesting that acceptance of one positively influences the other. Conversely, a unidirectional relationship exists between ventilation and solar panels, where the adoption of ventilation positively influences solar panel adoption, but not the other way around. These findings contribute to a deeper understanding of decision-making processes in green building projects and provide valuable insights for policymakers and industry stakeholders aiming to promote sustainable energy solutions in the tertiary sector.

Adoption and User Behaviour Towards Digital Payments by Millennial

The rapid adoption of digital payment systems has transformed the financial landscape, particularly among millennials, who are at the forefront of this technological shift. This study explores the adoption and user behaviour of digital payment methods among millennials in India. The research aims to identify the key factors influencing the decision to use digital payments, including convenience, security, trust, and government initiatives. Additionally, it examines how socio-cultural influences, mobile payment applications, and peer networks impact the payment choices of this demographic. Through a survey of 250 millennials, the study reveals that ease of use, trust in security features, and promotional incentives are the primary drivers of digital payment adoption. It also identifies challenges such as concerns over data privacy and digital literacy. The findings suggest that while millennials are increasingly adopting digital payment systems, their behaviour is shaped by a complex interplay of technological, economic, and social factors. The study provides insights into strategies for improving the digital payment ecosystem and encourages further research into the evolving behaviour of young consumers.

Framework for adoption of generative AI for information search of retail products and services

PurposeGenerative artificial intelligence (GAI) can disrupt how consumers search for information on retail products/services online by reducing information overload. However, the risk associated with GAI is high, and its widespread adoption for product/service information search purposes is uncertain. This study examined psychological drivers that impact consumer adoption of GAI platforms for retail information search.Design/methodology/approachWe conducted 31 in-depth, semi-structured interviews with the lead GAI users regarding product/service information search. The data were analysed using a grounded theory paradigm and thematic analysis.FindingsResults show that consumers experience uncertainty about GAI’s functioning. Their trust in GAI impacts the adoption and usage of this technology for information search. GAI provides unique settings to investigate potential additional factors, leveraging UTAUT as a theoretical basis. This study identified three overarching themes – technology characteristics, technology readiness and information characteristics – as possible drivers of adoption.Originality/valueConsumers seek exhaustive and reliable information for purchase decisions. Due to the abundance of online information, they experience information overload. GAI platforms reduce information overload by providing synthesized and customized product/service search results. However, its reliability, trustworthiness and accuracy have been questioned. The functioning of GAI is opaque; the popular technology adoption model such as UTAUT is general and is unlikely to explain in totality the adoption and usage of GAI. Hence, this research provides the adoption drivers for this unique technology context. It identifies the determinants/antecedents of relevant UTAUT variables and develops an integrated conceptual model explaining GAI adoption for retail information search.

Exploring determinants influencing artificial intelligence adoption, reference to diffusion of innovation theory

An organization's ability to accept innovation heavily depends on its leadership caliber. Although leadership is known to affect all three stages of adoption (initiation, adoption, and routinization), literature has yet to examine the specific leadership components that contribute to each of these phases. Drawing from existing literature on transformational leadership and AI adoption, this article examines how transformational leadership can facilitate the successful implementation of AI technologies. This paper explores the intersection of transformational leadership and artificial intelligence (AI) adoption within organizations. This study used data from 250 companies to develop and evaluate a framework combining the Diffusion of Innovation (DOI) theory with transformational leadership (TL). The results were analyzed using structural equation modeling (SEM) techniques. The study examined the determinants influencing the adoption of AI as a new technology. This study found TL is a crucial driver of adoption, whereas elements like vision and intellectual stimulation are essential for the Intention to adopt. Also, this research indicates that adopting a significant innovation like AI is intricately linked to leaders' vision and ability to respect and recognize the feelings and needs of others (both indicators of offering individual assistance). Additionally, practical implications and recommendations for leaders are provided to navigate the complex landscape of AI adoption.

Deciphering the future of electric vehicles amid emissions and adoption drivers.

Climate change and CO2 emissions are critical challenges for the environment and humanity. There is extensive literature on greenhouse gas (GHG) emissions, in particular CO2 emissions. However,comprehensive analyses focusing on electric vehicles (EVs) and their impact are lacking. This study fills this gap by conducting a bibliometric analysis of 1143 peer-reviewed studies from 1989 to 2023. We aimed to identify influential contributions, understand the field's structure, and reveal research gaps. Analysis included citation networks, research impact, authorship patterns, content, and publication trends. We utilized bibliometric techniques to identify the most dominant countries, institutions, authors, journals, articles, and thematic areas related to EVs and emissions. Additionally, we overviewed publications associated with key search terms. Guided by five research dimensions (EVs, emissions, adoption, policies, and infrastructures), we framed specific research questions. This research provides valuable insights for environmentalists, policymakers, regulators, and academic researchers, facilitating access to crucial data on EVs and emissions.

Drivers of adoption for integrated mangrove aquaculture: Its application for extensive smallholder shrimp farmers in Bangladesh

Integrated Mangrove Aquaculture (IMA) has the potential to simultaneously address the challenges of environmental degradation arising from conventional shrimp production, the expected impacts of climate change, and the growing global demand for shrimp. These challenges affect coastal livelihoods in Satkhira and Khulna districts of Bangladesh. However, IMA adoption in coastal Bangladesh so far remains low. This study explores the factors that influence IMA adoption by extensive smallholder shrimp farmers in Bangladesh using a questionnaire-based survey of 128 farmers. We identified potential drivers of adoption by combining exploratory data analysis and a logit regression analysis. Key findings were that lack of adoption appeared to be mainly attributed to a lack of awareness of IMA (65% of non-adopters were not aware of the existence of IMA), as well as a lack of trust in own required management skills and technical know-how. On the other hand, positive evaluation of IMA benefits and its main use as a risk mitigating strategy were the main enablers. The logit regression analysis indicated that perceived suitability of the pond to integrate IMA and availability of technical assistance were the factors most important to adoption, explaining respectively 30% and 26% of adoption. To enhance adoption of IMA and reduce the need for new pond excavation in mangrove stands, tailored technical training and social learning opportunities are required to increase awareness of IMA and its potential benefits, as well as for effective IMA management. Additionally, the development of new market opportunities for novel mangrove products is vital to foster incentives for adoption. Further work is needed on how to maximize the potential of IMA by thorough study of its various implementation options.

Clean energy transition in rural Bangladesh: Challenges in adoption and impact

ABSTRACT At the household level, the solar photovoltaic (PV) system is an off-grid clean energy source with significant poverty reduction potential, thereby contributing to the attainment of several sustainable development goals. Nevertheless, there has been limited adoption of renewable or clean energy technologies in Bangladesh. At present, renewable energy sources account for only 3% of the country’s electricity generation. This study thus investigates the drivers of solar PV adoption and the impact of this on household income and poverty in Bangladesh. We present an econometric analysis of data from the International Food Policy Research Institute’s Bangladesh Integrated Household Survey, 2020. Our findings indicate that only 5.51% of the sample households adopted solar PV, with the likelihood of adoption 3.8% higher in households with a mobile phone, 1.7% higher in households with internet access, and 2.8% higher among homeowners. However, the government’s programs to expand the electricity grid made the delivery of solar PV by partner organizations less competitive. Our analysis reveals that the adoption of solar PV has a positive effect on household income of between 9.31% and 13.50%. The poverty gap is likely to decrease by around 20% to 26% due to adoption. These findings are pertinent to ongoing policy development efforts targeted at increasing the adoption of renewable energy to meet the sustainable development goals. Solar PV information could be potentially disseminated through mass media and modern communication technologies that require internet access. Furthermore, increasing the installation of solar PV systems in rented houses may promote the adoption of solar PV. It is imperative to implement policies that provide incentives for the installation and utilization of solar PV.

Adoption of Lean Construction and AI/IoT Technologies in Iran’s Public Construction Sector: A Mixed-Methods Approach Using Fuzzy Logic

The construction sector in Iran faces substantial inefficiencies, including high material wastage, posing environmental and economic risks. This study investigated the adoption of Lean Construction (LC) practices and AI/IoT technologies in Iran’s public construction sector using a mixed-methods approach. This research examined the organizational, technical, and infrastructural factors across four key provinces—Tehran, Isfahan, Khorasan Razavi, and Fars—and employed fuzzy logic to address the uncertainties in adoption decisions. Data from 28 key stakeholder interviews were analyzed using Python 3.9, with libraries such as Pandas 1.3.3, NumPy 1.21.2, and skfuzzy 0.4.2 for the statistical analysis and NVivo 12 for the thematic coding. The analysis revealed that organizational readiness and leadership support were the critical drivers of adoption, particularly in Isfahan and Khorasan Razavi, which exhibited the highest adoption likelihood scores (0.5000). Tehran and Fars showed slightly lower scores due to regulatory barriers and financial limitations. The findings highlight the need for targeted leadership training, regulatory reforms, and infrastructure investments to accelerate the adoption of these technologies. This study aligned with the Sustainable Development Goals (SDG 9: Industry, Innovation, and Infrastructure and SDG 11: Sustainable Cities and Communities) by offering practical recommendations for advancing sustainable practices in Iran’s construction sector. The insights provided have broader implications for other developing economies facing similar challenges, contributing to global efforts toward sustainable development.

Drivers of digital currency adoption and their configurational impact assessment in tourism and hospitality: loss aversion under prospect theory

ABSTRACT With accelerated digitalisation in all business sectors, digital currencies (DC) are increasingly popular. This study aimed to identify the effects of central bank digital currency (CBDC) innovation characteristics and perceived risks on CBDC adoption intention in the tourism and hospitality field. This study devised a research model incorporating research hypotheses addressing CBDC customers’ perceptions of CBDC's innovative technology and risks. To test the hypotheses, data were obtained from the USA, Korea, and China. CBDC's innovation characteristics and perceived risks affected the adoption of CBDC for transactions during travel. The results have academic and practical value because they aid understanding of customers’ reactions to the new transaction system and establish proactive marketing strategies such as promotional message development to reduce perceived risks in lieu of strengthening innovative characteristics.

Exploring Blockchain Adoption in the Italian Wine Industry: Insights from a Multiple Case Study

Modern blockchain-based product tracking systems have the potential to revolutionize the agrifood industry, ensuring transparency and accountability. The need to comply with stringent regulations and contrast frauds makes applications in the wine industry particularly relevant. However, recent studies suggest that the adoption of blockchain in the wine industry presents unique complexities and opportunities. Adopting a multiple case study approach, this paper uses data from 16 SMEs in the Italian wine industry to provide a comprehensive overview of the drivers and challenges of blockchain adoption in the wine industry. Furthermore, this study extends the literature by identifying the key requirements of a blockchain system that meets the needs of SMEs in the wine industry. This study contributes to the literature through the identification of 8 fundamental challenges and drivers of blockchain adoption in the wine industry, including companies’ lack of familiarity with the technology, lack of technological skills, the importance of management vision and partnerships with technology providers. The results also clearly highlight the need to develop blockchain systems combining supply chain management and marketing objectives. Finally, this study provides useful practical implications, which can guide wineries and governments to promote the adoption of blockchain in the wine industry.

Understanding the Drivers of Adoption for Blockchain-enabled Intelligent Transportation Systems

This study tended to present a model for examining the effective factors on adoption of blockchain-based intelligent transportation systems (ITS). The methodology employed was correlational descriptive approach using structural equation modeling. The research involved collecting data through a survey, which was completed by 368 individuals residing in prominent cities across Iran. The findings of the study suggest that perceived quality of digital services significantly impacts perceived ease of use, perceived usefulness, and trust in a positive manner. Additionally, the positive influence of information technology infrastructure and social influence on perceived ease of use and perceived usefulness is evident. Moreover, perceived ease of use and perceived usefulness play pivotal roles in building trust and fostering adoption of blockchain-based ITS. The study also highlights the positive and significant impact of transparent governance on trust and adoption. Furthermore, policies and regulations are identified as key drivers of perceived usefulness and adoption of such systems. Lastly, perceived trust and security are found to positively influence adoption. These findings underscore the potential of the examined variables to serve as robust predictors for the adoption of blockchain-based ITS by citizens.

Drivers of Electric Vehicle Adoption in Nigeria

Electric vehicles (EVs) represent a significant advancement in automotive technology, utilizing electricity as a power source in place of traditional fossil fuels and incorporating sophisticated navigation and autopilot systems. These vehicles align with multiple Sustainable Development Goals (SDGs) by offering a more environmentally sustainable alternative to internal combustion engine vehicles (ICEVs). Despite their potential, the adoption of EVs in developing nations such as Nigeria remains constrained. The Unified Theory of Acceptance and Use of Technology (UTAUT) framework is expanded in this study by including important enablers such as poor infrastructure, problems with affordability, and government support in the broader category of facilitating conditions. Additionally, it scrutinizes variables such as trust, performance expectations, social influences, and network externalities to identify the primary determinants influencing Nigerian consumers' propensity to adopt EVs. Results show that the percentage increase of H6 (facilitating conditions → behavioral intentions) compared to H5 (network externalities → behavioral intentions) is approximately 32.35%, indicating that traditional drivers significantly influence individuals' willingness to purchase EVs and are particularly strong factors in adoption decisions. The paper concludes with a discussion of these findings and proposes strategies for future research to further explore the barriers and drivers of EV adoption in Nigeria.

Metaverse risks and harms among US youth: Experiences, gender differences, and prevention and response measures

Research indicates that participation in metaverse environments and with virtual reality (VR) is increasing among younger populations, and that youth may be the primary drivers of widespread adoption of these technologies. This will more readily happen if their experiences are safe, secure, and positive. We analyze data from a nationally representative sample of 5005, 13- to 17-year-olds in the United States to measure their experiences of 12 specific harms on VR platforms, and which protective strategies they employed to prevent or respond to them. Girls were more likely to be sexually harassed and to experience grooming/predatory behavior, and were more likely to have been targeted specifically because of their gender. Finally, girls were more likely to engage in some specific protective measures online, but overall both boys and girls use platform safety mechanisms infrequently. We discuss enhancements in policy, content moderation, and feature sets that can serve to better safeguard youth in the metaverse.

Quantifying drivers of virtual reality acceptance in tourism planning using a grey system theory-based approach

PurposeThis study examines the role of Virtual Reality (VR) in tourism marketing, analyzing its psychological effects, demographic differences and factors influencing adoption. It seeks to identify and measure the main drivers and obstacles to VR acceptance, improving predictions of adoption trends in tourism planning and experiences across various demographics.Design/methodology/approachThis study employs a quantitative method, blending statistical analysis with Grey System Theory. It analyzes data from VR-experienced participants using ANOVA, regression models and dynamic grey relational analysis to produce actionable insights. Data were collected from July to September 2023 from participants experienced with VR in tourism.FindingsUser engagement, positive word-of-mouth and a desire for immersive experiences drive VR acceptance, especially among frequent travelers and tech enthusiasts. While VR can enhance trip enjoyment, its long-term impact varies. To increase VR adoption in tourism, strategies include targeting frequent travelers and online users, creating accessible and engaging content, leveraging positive feedback and partnering with influencers to develop interactive VR experiences that mitigate travel planning uncertainties and attract specific user groups.Practical implicationsThe study demonstrates how VR can expand access to tourism for those unable to travel, enhance engagement and streamline planning. By leveraging VR in marketing, providers can create immersive, targeted content, reduce uncertainties, attract tech-savvy travelers and boost appeal through influencer partnerships.Originality/valueThis study pioneers the integration of Grey System Theory with traditional statistical methods to elucidate the dynamics of VR adoption in tourism. By uniquely combining ANOVA, regression models and dynamic grey relational analysis, it offers a precise model to interpret complex data, highlighting the nuanced effects of demographic factors on technology acceptance. This approach not only advances the analytical frameworks in tourism marketing but also provides critical insights into the demographic and psychological drivers of VR adoption.

Drivers for Green Banking Adoption: Diffusion of Innovation Theory and TAM Perspective

Drivers for Green Banking Adoption: Diffusion of Innovation Theory and TAM Perspective

Exploring the Link Between Social Media Adoption and Saudi Arabia SME’s Sustainable Performance: The Moderating Role of COVID-19

Small and medium-sized enterprises (SMEs) use social media to communicate effectively with stakeholders. However, little is known about the influence wielded by social media adoption on sustainable performance during COVID-19. Based on the technology–organization–environment (TOE) framework, our study developed an integrated model to explore the factors affecting social media adoption and its effect on sustainable performance in SMEs in the Saudi Arabian context. The quantitative method of a survey was used to collect data from SMEs owner-managers and CEOs. Partial least square was used to analyze data collected from 609 respondents. The findings revealed that environmental factors (i.e., the intensity of the competition, competitive pressure, and the bandwagon effect), technological factors (i.e., relative advantages and compatibility), and organizational factors have been the key drivers of social media adoption in SMEs during COVID-19. It also indicated that social media adoption is a key predictor of social, environmental, and economic sustainability. This study provides SMEs with meaningful implications about ways of fostering sustainable performance.

Transcending Food-Miles: Unpacking the Drivers of In-Store Vertical Farming Adoption Among Food Retailers in France

This paper examines the potential of in-store vertical farming technologies in urban food retail as a solution to the increasing demand for fresh, locally sourced food. By enabling a “sell where you produce” model, vertical farming can reduce food miles, enhance traceability, and lower carbon emissions. The study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) to analyze factors influencing the adoption of these technologies among food retailers in Rouen, France, with a particular focus on the role of risk aversion in shaping attitudes and decisions. The findings highlight that performance expectancy and facilitating conditions are the key drivers of adoption intentions among retail store managers. However, perceived risks, such as high investments and operational costs, pose significant barriers, while social influence appears to have little impact on their decisions. The study underscores the importance of conducting economic evaluations and risk assessments of vertical farming practices to ensure their long-term viability. As vertical farming holds the potential to boost fresh food production in urban areas, reduce food miles, and create sustainable supply chains, it is crucial to carefully weigh its benefits and risks to support its successful adoption in urban food retail.

Beyond the hype: A TAM-based analysis of blockchain adoption drivers in construction industry

In complementing our existing knowledge of blockchain technology adoption in the construction industry, this research investigated how the Technology Acceptance Model (TAM) applies to adopting blockchain technology among Saudi Arabian Construction companies. This study utilized cross-sectional data collection, causal research design, a quantitative research approach, and a simple random sampling technique to collect data from 248 Saudi Arabian construction companies. Partial least squares structural equation modelling (PLS-SEM) was utilized to analyze the data. The results showed that attitude toward adopting Blockchain (ATT) and perceived ease of use (PEU) are good predictors of behavioural intention to adopt Blockchain. The findings showed that when construction companies perceive the ease of use of Blockchain, they intend to adopt the technology. Attitude toward adopting Blockchain, directly and indirectly, influences behavioural intention to adopt the Technology. However, top management support only directly leads to intention once the companies perceive the usefulness of blockchain technology. This paper complements the existing literature on adopting Blockchain in the Saudi Arabian construction industry. The study provides insight into the influence of top management support, attitude toward adoption, and perceived ease of use in the blockchain adoption process.

To rule or not to rule? The policy process of the excise tax on sugar-sweetened beverages in Indonesia

PurposeThe rising incidence of non-communicable diseases and sugar-sweetened beverages (SSB) consumption in Indonesia is a concern to the central government. However, the excise tax policy proposal for SSBs, introduced by the Minister of Finance in a 2020 meeting with the Parliament, remains unapproved until 2023. This study analyzes the process and factors influencing stakeholders in managing the implementation of the excise tax policy on SSBs in Indonesia.Design/methodology/approachThis research is based on Kingdon’s Multiple Streams Theory (MST), focusing on the problem, policy and politics streams. It employs a qualitative design and combines a literature review and in-depth interviews in data collection. Interviews were conducted with policymakers, civil servants, senior representatives from nongovernmental health and consumer organizations, trade associations and academics in nutrition, health and taxation.FindingsWe identified that policy entrepreneurs have not succeeded in aligning the policy with the ideology of decision-makers and broader government goals. Therefore, the Parliament has not ratified the SSB excise tax policy until 2023. The effectiveness of interventions is expected to be the primary driver of policy adoption. Despite the complexity of this policy process, we conclude that implementing some reinforcing strategies may be necessary to facilitate policy change. In the Indonesian context, other actors who proactively manage potential criticism from multiple stakeholders are needed. The power of the Coordinating Ministry for Economic Affairs is expected to navigate political complexities and interests among stakeholders. Support for adopting the SSB excise tax policy will likely rise when framing policy alternatives aligns with decision-makers values, involves coordination between ministries, and has a broad public appeal.Originality/valueDespite the constitutional mandate to regulate levies through legislation, there is no research on policy processes in Indonesia, specifically regarding levies and taxes. Examining the Indonesian institutional context in which a policy process takes place may improve the understanding of the many components of MST under unique conditions, providing insights into the specific factors that drive policy change in certain cases.