Stages Of Adoption Research Articles

Researching models of innovation and adoption in health professions education.

Despite the constant presence of change and innovation in health professions education (HPE), there has been relatively little theoretical modelling of such change, the experiences of change, the ideology associated with change or the unexpected consequences of change. In this paper, the authors explore theoretical approaches to the adoption of innovations in HPE as a way of mapping a broader theoretical landscape of change. The authors, HPE researchers with an interest in technology adoption and systemic change, present a narrative review of the literature based on a series of thought experiments regarding how communities and individuals respond to the introduction of new ideas or methods. This research investigates the stages of innovation adoption, from the emergence and hype around new ideas to the concrete experiences of early adopters. When an innovation first emerges, there is often little concrete information available to inform potential adopters, leaving it susceptible to hype, both positive and negative. This can be described using the Gartner Hype Cycle model, albeit with important caveats. Once the adoption of an innovation gets underway, early adopter user experiences can inform those that follow. This can be described using Rogers' diffusion of innovation model, again with caveats. Notably, neither model goes beyond the point of single point-in-time, yes/no, individual adoption. Other approaches, such as learning curve theory, are needed to track uptake and maintenance by individuals over time. This expanded theoretical base, while still somewhat instrumentalist, combined with complementary theoretical perspectives can afford opportunities to better explore reasons for variance, volunteerism and resistance to change. In summary, change is complicated and nuanced, and better models and theories are needed to understand and work meaningfully with change in HPE. To that end, the authors seek to encourage richer and more thoughtful research and scholarly thinking about change and a more nuanced approach to the pursuit of change in HPE as a whole.

From niche-innovation to mainstream markets: Drivers and challenges of industry adoption of agrivoltaics in the U.S.

Agrivoltaic systems harmonize agriculture and solar energy to mitigate land use competition, strengthen agricultural viability and resilience, and enhance solar development practice. Innovations in agrivoltaics has gained traction globally yet exist in niche-application and early adoption stages in the U.S. While initial research has emphasized technical and economic performance, critical questions remain about stakeholder adoption, social acceptance, and the role of policymakers. To better define the socio-political landscape for agrivoltaic development, we leverage qualitative interviews with U.S. solar professionals. We articulate key sets of drivers and challenges of industry adoption and their interactions. The findings suggest that overcoming the challenges impeding U.S. solar industry adoption of agrivoltaics will require robust market mechanisms that stimulate price improvements as well as coordinated, cross-sector learning processes, research, and regulation. We maintain that socio-political adaptations, coupled with techno-economic advances in price and performance, may constitute the key improvements of the development landscape for agrivoltaics in the U.S. Multi-stakeholder considerations and the co-evolution of technology, practice, and regulation are discussed in the context of developing the enabling framework conditions to progress agrivoltaics from niche-innovation to mainstream markets.

The degrees of central bank digital currency adoption across countries: a preliminary analysis

This study empirically examines factors affecting the different stages of CBDC adoption using a sample of 55 countries engaged in CBDC projects from 2014 to 2021. The findings indicate that anti-money laundering and terrorist financing and the financial market development, inflation and technological factors are critical determinants of CBDC adoption at different stages.

Adoption: current issues and solutions

The article is devoted to the study of problems arising in the process of adoption of children - citizens of Ukraine. The author analyzes a number of legal acts that regulate the adoption procedure step by step, examines the judicial practice and the practice of taking a child to the adoptive family. The study reveals a number of problems that arise at almost all stages of adoption. It was found out that the legislator aims to simplify the mechanism of submitting documents for the possibility of being registered, however, today the process of transferring documents through the Diia portal does not work in full, and potential adoptive parents need to apply to the authorized body with the entire package of documents. A significant problem today is that the legislator has not enshrined a specific list of grounds that would allow the court to separate siblings and place them for adoption in different families. The legislator in the provisions of this article states that separation is possible in the presence of circumstances of significant importance. It is the court in each individual case that decides on separation, depending on the circumstances. The submitted study proposes to consolidate in the Family Code of Ukraine and the Resolution of the Cabinet of Ministers of Ukraine «On Approval of the Procedure for Conducting Adoption Activities and Supervising the Observance of the Rights of Adopted Children» a list of grounds under which it would be possible to separate siblings for adoption.

Consumer heterogeneity for shared accommodations at pre-and-post adoption stages: Insights from travelers in Shanghai, China.

As shared accommodation has become one of the most important market developments in the tourism industry, numerous contributions have emerged regarding travelers' motivations to choose shared accommodation. A debated question, however, resides in the heterogeneity of travelers based on motivations. This paper aims to reconcile opposing perspectives by comparing motivation segmentation at two distinct phases of the adoption of this accommodation option: (i) before the first travel-potential users showing interest (n = 420) and (ii) after the first travel-current users (n = 420). Factor analysis, combined with clustering, is applied to both samples to identify underlying motivations and traveler segments. Interestingly, we find that factors defining choice motivations are relatively stable throughout the adoption process, but the heterogeneity of motivations among travelers is higher in users, increasing from three to six clusters. This suggests that travelers' motivations are dynamic and dependent on the phase of adoption.

ChatGPT and the Future of Digital Health: A Study on Healthcare Workers' Perceptions and Expectations.

This study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within the first three months after its launch. We also aimed to identify potential barriers to AI Chatbot adoption among healthcare professionals. A cross-sectional survey was conducted among 1057 HCWs in Saudi Arabia, distributed electronically via social media channels from 21 February to 6 March 2023. The survey evaluated HCWs' familiarity with ChatGPT-3.5, their satisfaction, intended future use, and perceived usefulness in healthcare practice. Of the respondents, 18.4% had used ChatGPT for healthcare purposes, while 84.1% of non-users expressed interest in utilizing AI Chatbots in the future. Most participants (75.1%) were comfortable with incorporating ChatGPT into their healthcare practice. HCWs perceived the Chatbot to be useful in various aspects of healthcare, such as medical decision-making (39.5%), patient and family support (44.7%), medical literature appraisal (48.5%), and medical research assistance (65.9%). A majority (76.7%) believed ChatGPT could positively impact the future of healthcare systems. Nevertheless, concerns about credibility and the source of information provided by AI Chatbots (46.9%) were identified as the main barriers. Although HCWs recognize ChatGPT as a valuable addition to digital health in the early stages of adoption, addressing concerns regarding accuracy, reliability, and medicolegal implications is crucial. Therefore, due to their unreliability, the current forms of ChatGPT and other Chatbots should not be used for diagnostic or treatment purposes without human expert oversight. Ensuring the trustworthiness and dependability of AI Chatbots is essential for successful implementation in healthcare settings. Future research should focus on evaluating the clinical outcomes of ChatGPT and benchmarking its performance against other AI Chatbots.

The effects of trust and platform innovation characteristics on consumer behaviors in social commerce: A social influence perspective

Social commerce is a relatively new e-commerce model that has the potential to drive consumption growth and promote flexible social employment. However, despite its potential benefits, studies have shown that customers still tend to more heavily rely on traditional e-commerce platforms than on social commerce. To fully understand why this is the case, it is essential to explore the diffusion mechanism that affects consumer behavior toward social commerce from a variety of different perspectives. Based on the diffusion of innovation (DoI) model and trust theory, our research model was built to reveal the influence of key characteristics (trust and platform innovation characteristics) and social influence on customers’ purchase intentions toward social commerce from different adoption stages. The data include 250 late majority users (using social commerce for less than one year), 340 early majority users (using social commerce for two years), and 417 early adopters (using social commerce for three years or more). The paper utilizes the PLS-SEM method. The results show that subjective norms and critical mass significantly affect social commerce behavior intention in all stages. The platform innovation characteristics (compatibility and relative advantage) positively affect social commerce adoption intention, while complexity has a negative effect in earlier stages. Furthermore, user features (trust) consistently and positively affect behavior intention in all stages. Finally, social influence partially mediates the effect of user characteristics (trust) on use intention at all stages. In conclusion, this paper expands the application of social influence in social commerce, developing the influence of the key characteristics (trust and platform innovation characteristics) of social commerce on behavior through empirical research.

A repeated cross-sectional study on the implementation of electronic medication management system

Many IS studies focus on initial user perceptions as drivers of initial IS success, but these perceptions may change over time. This study aims to examine whether there is any difference in the drivers of IS success between the initial adoption and the initial assimilation stages. With the Expectation Confirmation Model as the theoretical lens, a repeated cross-sectional study was conducted regarding clinicians’ perceptions of the implementation of electronic medication management systems (eMMS) in an Australian hospital, one at the time of implementation and another one at one year after the implementation. The results indicated that the means of perceived usefulness, perceived ease of use, social influence, clinician satisfaction, and organizational benefits are significantly higher in the initial assimilation stage than in the initial adoption stage, which means that expectations have been positively confirmed in the initial assimilation stage. More importantly, while perceived usefulness and social influence remain important one year after the implementation, perceived ease of use and facilitating conditions are moving toward a decrease in importance to the success of eMMS. This study provides a better understanding of how the importance of the factors influencing eMMS success changes over time.

Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?

We examine job quality effects of new digital technologies, using the European frame of seven job quality domains: Pay, Working Time Quality, Prospects, Skills and Discretion, Work Intensity, Social Environment, and Physical Environment. Theoretical effects are ambivalent across all domains. The analysis of these effects confirms that digital technologies can both improve and harm job quality depending on how they are used. In light of this analysis and to think through the challenge of regulating digital technologies, we review emerging regulations across several European countries. Drawing on the principles of human-centred design, we argue that worker participation is important for securing good job quality outcomes, at both the innovation and adoption stages. We also consider the application of data protection legislation to the regulation of job quality. Overall, the paper extends debate about the future of work beyond employment and pay, on to a consideration of job quality more broadly.

Understanding barriers to adoption of sustainable nitrogen management practices in California

Achieving sustainability in agricultural nitrogen (N) management relies on farmers’ decisions to reduce fertilizer inputs and adopt conservation management practices. Understanding the drivers and barriers to farmers’ adoption of improved N management practices is critical to developing effective management and policy approaches on this intractable challenge. Existing research on farmer behavior has assumed that any barrier to adoption will result in lower practice adoption rates, without fully understanding how barriers may vary across different management practices, farm and farmer types, and stages of adoption. By leveraging two farmer survey data sets (total <i>n</i> &gt; 1,900), this study diagnoses key barriers to adoption across 11 different N management practices and a large diversity of farmer and farm types across the California Central Valley. We find resource constraints, technical knowledge, and uncertainty emerge as key barrier types that differentially affect farmers at various stages of adoption. On a practice-by-practice basis, uncertainty barriers appear greatest for nonadopters of a practice, whereas practice adopters are more likely to report resource barriers. Across management practices at the farm level, farmers with higher self-reported conservation orientations are more likely to report being affected by all barrier types, as compared to their peers with lower self-reported conservation orientations. Our findings demonstrate that barriers to adoption are more complex than simply the factors that predict lower adoption, as both adopters and nonadopters experience barriers. Furthermore, factors that typically predict higher adoption, such as conservation motivation, do not insulate a farmer from facing barriers to adoption. We consider how adopters are likely to go through a learning process while moving from considering to fully implementing a new practice, during which different barriers to behavior change may be encountered. We argue that interventions intended to motivate farmer adoption of improved management practices need to take more nuanced approaches to understanding how barriers to adoption are likely to vary across stages of adoption, farm and farmer type, and specific management practices.

A study of Corporate Sustainability Reporting Practices in the Indian Energy sector

The study examines the sustainability disclosures of the Indian energy companies and maps these with respect to Sustainable Development Goals (SDGs). As a part of the study, eighteen energy companies’ publicly available sustainability disclosure data from their sustainability reports were analysed with respect to their performance towards their SDGs. The study has mapped sustainability disclosures and analysed the company’s contribution towards the SDGs by assessing the linked Global Reporting Initiative (GRI) indicators with the SDGs. To analyse the contribution towards SDGs, the criteria were applied to the GRI – compliant sustainability reports for the selected eighteen major energy companies. As a part of the methodology, the companies were categorized by the size of the companies (market capitalization), type (Govt. Vs Private) and Industry (as per UNFCCC segmentation under the Energy sector). The study discloses that SDG 10 and SDG 11 are among the SDGs for which most of the companies have not disclosed sustainability performance, whereas SDG 4, SDG 5 and SDG 9 are the SDGs for which the most contribution is evident as compared to other SDGs. The study contributes to the understanding of sustainability disclosure practises of the companies that are in different stages of adoption of sustainability reporting. The findings of the study contribute to making the disclosures of the company is more relevant to SDGs. Particularly, it is one of the first studies on Indian energy companies to assess sustainability disclosure performance in the context of SDGs.

From Resistance to Resilience: Teachers’ Adaptation Process to Mediating Digital Devices in Pre-COVID-19, during COVID-19, and Post-COVID-19 Classrooms in Nepal

This qualitative study explores the implementation and adoption process of the use of digital devices and tools in teaching and learning before, during, and after the COVID-19 pandemic in Nepal. Using Rogers’ diffusion of innovation theory as a framework, the study examines the adoption and adaptation of digital devices by in-service secondary mathematics teachers (n = 62) and the teachers’ perceptions of and preferences for instructional modalities. The findings suggest that, despite the increased reliance on digital devices during the pandemic, there is a lower likelihood of them being used in face-to-face classrooms in developing countries, such as Nepal. The adoption of online learning had not yet reached the adoption stage, even after the onset of the COVID-19 pandemic. Prior to the pandemic, online learning was not widely adopted by teachers in developing countries societies. The study also provides important insights into the challenges of and opportunities provided by using digital devices in post-COVID-19 classrooms, and its implications for policymakers and educators in Nepal.

The influence of users’ perspective factors on mobile banking adoption in Indonesia

Purpose The low adoption of mobile banking (m-banking) in Indonesia and limited research on the adoption of m-banking motivate this research to understand the factors needed in developing m-banking to support the achievement of the national digital economy strategy in creating a digital ecosystem in Indonesia. This study aims to analyze the individual perspective factors that influence the adoption of m-banking applications in Indonesia. Design/methodology/approach This study used a quantitative approach using an online questionnaire to survey 444 respondents who used m-banking applications in Indonesia. The data obtained were processed using covariance-based structural equation modeling. Findings The results showed that health consciousness, the availability of resources, personal innovativeness and perceived information quality factors influenced the adoption of mobile banking applications in the static stage. In addition, this study found that one adoption stage could positively impact another adoption stage in adopting m-banking applications. Practical implications The development of m-banking can be promoted by considering the readiness of operational support infrastructure, regulations and application development, including functionality, security and user experience. Superior m-banking has implemented an end-to-end banking process with integrated customer relationship management (CRM) that supports cross-selling features according to user needs. Originality/value This study addresses the knowledge gap on individual perspectives that influence m-banking applications adoption. The authors integrate the e-government adoption model and CRM model in this study.

Roles of attitudinal factors on the adoption stages of carsharing

ABSTRACT This study aims to understand how attitudinal factors influence individuals’ choices for further developing carsharing. To address the gap, a household survey was carried out to obtain the individual’s attitudes toward carsharing. The Transtheoretical Model is used to divide the adoption process of carsharing into five stages, including precontemplation, contemplation, preparation, action, and maintenance. Two Integrated Choice and Latent Variable Models with or without the attitudinal features are evaluated for the effects of latent attitudes on the above five stages. Additionally, the attitudinal factors at each stage are analyzed and compared, and the effects of the flexible and hard measures on the adoption process are discussed. The results indicate that the proposed attitudinal factors well reflect individuals’ adoption stage of carsharing and show different effects on the five adoption stages. The policy implications for facilitating carsharing require coordinating flexible and hard measures in different cognitive stages.

Consumer Buying Decision over Electric Vehicles and Other Variants in NCR Region

The study will be concentrating on consumer purchasing decisions for electronic vehicles by examining the effect of consumer innovation and raising concerns about the practical abilities of digital engines relative to their alternatives for EV and other editions. A conceptual framework is created and put into use that includes evaluations of inventiveness at the adoption stage, principally based on an analysis of generational possession and a cohort of psychological and social factors. It is necessary to find a way to reinforce cars since fossil fuels are still running out and prices are rising. As a remedy for the industry and the environment, electric powered automobiles are being supplied by utilising India's automobile sector. Despite the Delhi government passing laws governing electronic vehicles, digital motors are becoming more and more prevalent on the market today. This study may evaluate a consumer's buying behaviour together with their impressions about electric-powered automobiles in India. Statistics from both primary and secondary sources may be used in the study. A survey of the market and a questionnaire will be used to compile the data. -wheeler, three-wheeler, and four-wheeler OEM dealers, students, and operational employees are the target audience for the statistics collecting. The intended buyer can come from tier 1 and tier 2 cities.

Residential Rooftop Photovoltaic Adoption Using a Sequential Mixed Methods Approach in Qatar

Global warming and climate degradation are critical global issues that influenced the rise of renewable energy sources adoption. Photovoltaic systems are the predominant sustainable and renewable energy source option, which can be deployed on top of residential rooftops on a large scale. However, the success of residential rooftop photovoltaic system adoption depends on multiple barriers, such as public acceptance and perception, market readiness, and supportive governmental policies. While most studies focus on either the customer perception or the market penetration aspects, this study aims to use a combinational approach. Through a mixed method approach, the goals of this study are to: (1) Complete a quantitative analysis on customer acceptance and perception of rooftop photovoltaic systems; (2) Perform a qualitative analysis on the potential of residential rooftop photovoltaic market penetration and the extent of supportive governmental policies; (3) Utilize the mix method approach results to answer adoption hypothesis. A few countries already have strong residential rooftop photovoltaic applications; however, many countries are still at an early stage of photovoltaic system adoption, where this study can be useful. This research uses Qatar as a prime case study in developing the study framework.

How Machine Learning (ML) is Transforming Higher Education: A Systematic Literature Review

In the last decade, artificial intelligence (AI), machine learning (ML) and learning data analytics have been introduced with great effect in the field of higher education. However, despite the potential benefits for higher education institutions (HIE´s) of these emerging technologies, most of them are still in the early stages of adoption of these technologies. Thus, a systematic literature review (SLR) on the literature published over the last 5 years on potential applications of machine learning in higher education is necessary. Following the PRISMA guidelines, out of the 1887 initially identified SCOPUS-indexed publications on the topic, 171 articles were selected for review. To screen the abstracts and titles of each citation, Rayyan QCRI was used. VOSViewer, a software tool for constructing and visualizing bibliometric networks, and Microsoft Excel were used to generate charts and figures. The findings show that the most widely researched application of ML in higher education is related to the prediction of academic performance and employability of students. The implications will be invaluable for researchers and practitioners to explore how ML and AI technologies ,in the era of ChatGPT, can be used in universities without jeopardizing academic integrity.

ПРОБЛЕМИ ЗАСТОСУВАННЯ ЮРИДИЧНОЇ ТЕХНІКИ ТА ТЕРМІНОЛОГІЇ В ГОСПОДАРСЬКОМУ ТА ГОСПОДАРСЬКОМУ ПРОЦЕСУАЛЬНОМУ ЗАКОНОДАВСТВІ УКРАЇНИ

The article examines the problems of applying legal techniques and terminology in some legal acts of economic and economic procedural legislation. Attention is drawn to the shortcomings, contradictions and inconsistencies of the provisions of individual norms of the specified legal acts, the cause of which is non-compliance with the rules of legal technique and the unsuccessful use of legal terms. In addition, the inconsistency of the terms with the legal concepts that take place in economic legislation consists in not taking into account (not reflecting) the content of the corresponding legal concept and the absence of systematic logical connections between the terms. Four main variants of anomalies in the application of terms in the economic legislation of Ukraine are highlighted: the use of terms that do not reflect the content of legal concepts; the use of the same term to designate legal concepts different in content; the use of different terms to name legal concepts that are identical in content; the use of other terms in the normative-legal acts of the current economic legislation, including those contrary to the terms of the Economic Code of Ukraine. It is noted that certain shortcomings are inherent not only in the current laws, but also in the draft laws under consideration in the Verkhovna Rada of Ukraine. As an example, the draft Law of Ukraine “On the peculiarities of regulation of entrepreneurial activity of certain types of legal entities and their associations in the transition period” is given. The shortcomings of legal technique and legal terminology in the Economic Procedural Code of Ukraine are analyzed. It is claimed that the presence of deficiencies in economic and economic procedural legislation, which are revealed in the process of law enforcement, indicates an inappropriate level of application of legal techniques and terminology at the stage of development and adoption of regulatory legal acts by the competent state bodies, which undoubtedly harms their law enforcement and to some extent discredits the legal system of Ukraine.

The Common Community Physics Package (CCPP) Framework v6

Abstract. The Common Community Physics Package (CCPP) is a collection of physical atmospheric parameterizations for use in Earth system models and a framework that couples the physics to a host model's dynamical core. A primary goal for this effort is to facilitate research and development of physical parameterizations and experimentation with physics–dynamics coupling methods while simultaneously offering capabilities for use in numerical weather prediction (NWP) operations. The CCPP Framework supports configurations ranging from process studies to operational NWP as it enables host models to assemble the parameterizations in flexible suites. Framework capabilities include variability in scheme call order; ability to group parameterizations for calls in different parts of the host model, allowing intervening computation or coupling to additional components; options to call some parameterizations more often than others; and automatic variable transformations. The CCPP Framework was developed by the Developmental Testbed Center and is distributed with a single-column model that can be used to test innovations and to conduct hierarchical studies in which physics and dynamics are decoupled. It is also an integral part of the Unified Forecast System, a community-based, coupled, comprehensive Earth modeling system designed to support research and be the source system for the NOAA's operational NWP applications. Finally, the CCPP Framework is under various stages of adoption by a number of other models in the wider community.

Unpacking Stages of Mobile-Assisted Language Learning Adoption: A Narrative Inquiry

Technological advancements necessitate adaptation in the field of education, particularly for language teachers. This need cannot simply be accommodated in the classroom. In the process of adopting technology, teachers experience various processes that must be got through. This current study was aimed at filling the gap in the issues related to the complexity of MALL adoption in higher education. To fill the need for descriptive richness and picture the entire adoption process, a qualitative approach was used; specifically, Narrative Inquiry (NI). There was a total of three people who participated in the research. Data was gathered through the use of a narrative frame, an empty box, and a structured interview guide. The study's findings highlight the simultaneous and ongoing nature of the adoption process. Three distinct phases of adoption were identified by this research: acceptance (before use), usage (during use), and confirmation (after use), with three distinct evaluation procedures for each phase. Another important finding is that intention is not necessarily a drive to usage. There is review process that bridges the intention and usage. The process of intention and review are simultaneous. Nevertheless, whereas intention is likely immediate, the review takes longer period of decision making. The review process could be the answer to the debate in TAM studies related to the reasons of inconsistency of the intention to use to the usage.