Readiness For Adoption Research Articles

A co-design framework for wind energy integrated with storage

<h2>Summary</h2> The global growth of wind energy markets offers opportunities to reduce greenhouse gas emissions. However, wind variability and intermittency (across multiple timescales) indicate that these energy resources must be carefully integrated into the power system to avoid mismatches with grid demand and associated grid reliability issues. At the same time, community concerns regarding the local installation of renewable energy and energy storage systems have already delayed or even halted the proposed projects. We propose a broadly defined, co-design approach that considers wind energy from a full social, technical, economic, and political viewpoint. Such a co-design can address the coupled inter-related challenges of cost, technology readiness, system integration, and societal considerations of acceptance, adoption, and equity. Such a successful design depends on the understanding of the needs of relevant communities, the regional grid infrastructure and its demand variability, local and global grid decarbonization targets, available land and resources for system siting, policy and political constraints for energy development, and the projected regional and global impact of these systems on the environment, jobs, and communities.

Cryptocurrencies: Business Students’ Awareness and Universities’ Adoption Readiness and Compatibility of Use Considering the Mediation of Attitudes

The study aims to determine the effect of awareness of business students towards cryptocurrencies and readiness of universities and colleges to accept cryptocurrencies as a medium of exchange considering the mediation of business students’ attitude. The research used partial least squares structural equation modeling (PLS-SEM) and deployed a questionnaire attuned to the awareness and attitudes of business students towards cryptocurrencies and readiness and compatibility of use to universities and colleges in Ilocos Norte. The output of the investigation revealed that awareness of business students are not correlated to readiness of universities and colleges which means that even though students understand cryptocurrencies, it is not an assurance that universities and colleges are ready to accept it as medium of exchange. The study proposes that trainings and seminars for business students and professionals should be conducted to expand understanding and acceptance of cryptocurrencies.&#x0D; &#x0D; &#x0D;

Blockchain for electronic medical record: assessing stakeholders’ readiness for successful blockchain adoption in health-care

PurposeThis paper aims to provide a helpful tool for those who plan to implement blockchain-based solutions for the governance of the electronic medical record (EMR) in health-care settings. The goals are to identify each type of stakeholders involved in these projects and to clarify the relevance, to achieve success, of their readiness, intended as availability and ability to adopt blockchain.Design/methodology/approachThe chosen methodology is a multiple case study on three initiatives that used blockchain to manage EMRs. This study relied on multiple sources of evidence. The primary data consisted of two rounds of semi-structured interviews with different informants. This study followed a grounded theory approach and performed within- and cross-case analyses.FindingsThis study identified the types of stakeholders – nodes and not-nodes – of the network and how their readiness level affects the implementation of blockchain-based projects applied to EMR. The nodes (e.g. patients and doctors) are pivotal in making the network working once this has been constructed. Out of the four readiness dimensions suggested by literature, motivational readiness, has the higher impact. Not-nodes stakeholders play a pivotal role in the project’s pre-implementation phase. For them, structural readiness is the dimension with the higher relevance.Originality/valueTo the best of the authors’ knowledge, it is the first time that a paper analyses the differences between nodes and not-nodes stakeholders of the blockchain network, in terms not only of type but also of readiness. Identifying the readiness level to implement successful projects is a fundamental step that has never been analysed in the health field.

The mediation role of adoption readiness on perceived anxiety and attitude toward using database management system at correctional institutions

Taking into account the literature on technology acceptance and adoption, this study aimed to investigate the mediating role of adoption readiness, which was built on the Unified Theory of Acceptance and Use of Technology (UTAUT), on the relationship between perceived anxiety and attitude toward using the system. This research also evaluated demographic variations and gender roles that could be considered when developing technology-use strategies. In a nutshell, this research looked into the negative and positive effects of technology integration through UTAUT's Correctional Database System (CDS). A survey was used to gather information from 230 middle managers whose responsibility is to manage information system database in correctional institutions. The data were then analyzed with SmartPLS 3 Software. The findings revealed that perceived anxiety has a significant effect on attitude toward using database management system and adoption readiness. Whereas adoption readiness could mediate perceived anxiety and attitude toward using database management system. However, gender was not proven to moderate the effect of adoption readiness on attitude toward using a database management system. This study provided a thorough grasp of both the supports that can help individuals develop positive attitudes toward an application system and the challenges that can obstruct the process. This study also gave an understanding that correctional institutions need to ascertain the middle managers that database management systems can be used easily and can overcome errors caused by human error.

Readiness To Adopt Virtual Team Among Medium- Sized Companies In Malaysia

In Malaysia, medium sized companies was faced immature management in virtual team and lack of research focus in adoption virtual team. There have three objectives identified in this study which is future drivers, readiness and future trends of virtual team adoption among medium sized company in Malaysia. There are 328 populations had been chosen as the sample sizes. In this study, 31 participants from management of medium sized companies, Johor Malaysia involved. This study used exploratory research design utilizing foresight methods. STEEPV analysis was used to identify the key drivers of virtual team adoption and adopted in impact-uncertainty analysis. The four scenarios generated by top two drivers which is ‘connectivity between interpersonal relationships’ and ‘High rapid economic development’ which are in dimensions of mature adoption, resistance, growing adoption, and preferred and success in conventional teams. A technology readiness index was conducted and obtained a high level of technology readiness result

Adoption of value-based pricing for prescription drugs

Value‐based pricing (VBP) is increasingly recognized by academics and practitioners as the most effective approach to price prescription drugs and improve patient access to medicines. However, despite the apparent support, there has been high rate of failure and continued low adoption of value-based agreements between payers and drug manufacturers. This paper aims to explore the potential factors influencing various stakeholders’ intentions to use VBP. For this purpose, the original version of the Roger's Innovation Diffusion Theory, which included relative advantage, compatibility, complexity, trialability and observability is studied and extended with Health Information Technology (HIT) and value measurement factors. The study presents a detailed review of existing literature in the area of healthcare pricing and introduces a conceptual framework that can be used for understanding organizational readiness for rapid adoption of VBP for prescription drugs. Finally, based on the constructs presented in the literature, we propose future research questions that need to be addressed to inform how the healthcare sector should approach the VBP adoption.

Evaluating readiness degree for Industrial Internet of Things adoption in manufacturing enterprises under interval-valued Pythagorean fuzzy approach

ABSTRACT The emergence of Industrial Internet of Things (IIoT) technology has caused a paradigm shift in the global manufacturing sector, despite its adoption remains costly, complex, and high risk. Therefore, the assessment of manufacturers’ readiness prior to IIoT adoption has become very important. This study proposes the evaluation framework for IIoT adoption using the interval-valued Pythagorean fuzzy set (IVPFS) method to reduce the uncertainty and ambiquity in human decision-making process. Through the extensive literature review and experts, twelve readiness criteria have been identified and validated. The relative importance weights of readiness criteria were determined by IVPF-AHP and the IIoT adoption readiness degree is calculated by IVPFS. The proposed approach enables manufacturers to make a rational decision on whether they are ready to initiate IIoT or take early remedial actions to increase the success rate of the adoption possibility. A leading Thai agro-food processing manufacturere is applied as an empirical case study.

Blockchain Adoption Readiness Assessment Framework for Health Professionals of Malaysian Public Hospitals

Healthcare professionals are the primary user of health information technology, therefore, before introducing blackchin as an underlying mechanism to Electronic Health Record (EHR), it is vital to understand their readiness to adopt it. The most influential factors of health professionals blockchain technology adoption are largely unknown from the existing literature. A limited number of studies provides a conceptual framework that can be further extended, empirically tested to develop understating in this regard particularly in developing country context like Malaysia. To fill such gaps current study, conducts a literature review to provide an compressive framework compiling the influential factors. The finding hypothesizes that the Unified Theory of Acceptance and Use of Technology (UTAUT), the Norm Activation Model (NAM), and the initial trust factors directly influences the adoption intention while, trust also plays a mediating role between those relationships. A future study will be conducted to empirically test and validate the conceptual framework that has been proposed. The framework can be extended and tasted in other developing country context.

Adoption Readiness Assessment Model based on SaaS Maturity Level in SMEs

Abstract— The acceleration of digital transformation in the industrial revolution 4.0 triggered by Cloud Computing created an expansion of the commercialization of IT services. SaaS ERP is one of the fastest growing cloud computing services and is a solution for SMEs. Although SaaS ERP uses a cloud base, it turns out that not all vendors provide uniform services. The difference in the services provided depends on the differences in Metadata, Security and shared services. These different services can be classified in 4 SaaS maturity levels consisting of level 1: Custom/Ad Hoc, level 2: Configurable, 3: Standardization/Multi-Tenant, and level 4: Scalable and Multi-tenant. The current research on measuring SaaS ERP adoption readiness has not considered this maturity level, even though this difference will have a different impact on each adoption factor. Continuing from the previous research which formulated the factors and weights of adoption, the purpose of this study is to understand the considerations of SMEs in adopting SaaS ERP that is deployed at different maturity levels. By using expert judgment, an assessment rubric is created for each factor at each maturity level. The expert assessment produces a range maturity index which is combined with the weight of each factor to assess the maturity level of SMEs' readiness to adopt SaaS ERP. The assessment rubric developed with expert validation and SMEs can be use as a tool to measure the maturity level of SMEs' readiness to adopt SaaS ERP Keywords— Adoption Readiness, Expert Judgement, ERP, SaaS ERP, SMEs, SaaS Maturity Level

Current State and General Perceptions of the Use of Extended Reality (XR) Technology at the University of Newcastle: Interviews and Surveys From Staff and Students

Extended reality (XR) technology is an emerging teaching tool within the higher education sector. Many institutions are currently running pilot projects, primarily assessing individual XR teaching tools typically being led by innovative/technology-driven teaching staff, which may introduce a self-selection bias and may not represent the general attitudes of the broader staff and student population. We applied a mixed-methods approach to gain insight into end-user acceptability, value areas, barriers, and opportunities for the adoption of XR in teaching at an Australian University. A university-wide online survey and targeted interview sessions with XR technology users show a general readiness for broad adoption of XR technologies in university education. Whilst existing XR teaching applications were described as “successful,” relatively few applications were sustainably integrated into the curriculum. Our data highlights the existing barriers for the successful transition from individual use-cases of XR tools to broader adoption across university institutions.

Acceptance model for predicting adoption of Zakat, Infaq, and Sodaqoh (ZIS) digital payments in Generation Z

PurposeThis study aims to explore the factors that can encourage Generation Z to continue using Zakat, Infaq and Sodaqoh (ZIS) digital payments. The factors used to determine the behavioral intention (BI) of Generation Z are adoption readiness (AR), perceived risk (PR), trust (TR) and personal innovativeness (PI).Design/methodology/approachAR (reflected by facilitating condition, social influence, ease of use and usefulness), PR (security risk and privacy risk), PI, TR and BI were tested using structural equation model (with smart PLS analysis tool).FindingsAR and BI are influenced by PI. In addition, BI is also influenced by TR, where TR will increase if risk can be minimized. This study was not able to prove the role of risk on BI.Research limitations/implicationsThis result focuses on Generation Z, so future research can compare results between generations. In addition, regulations between countries can affect the results of similar research, and factors that have not been used in this study can be used for future research.Practical implicationsThe results show that several reflective models of AR and PR. By adding the TR factor, this study can be used to understand the attributes of the acceptance of the ZIS digital payment model. On the other hand, this research has practical implications for the success of cashless ZIS payment transactions.Originality/valueThe model in this study develops an existing acceptance model and uses this model in the ZIS digital payment for Generation Z.

Healthcare providers\u2019 readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase

BackgroundThe adoption of an electronic health record (EHR) in the healthcare system has the potential to make healthcare service delivery effective and efficient by providing accurate, up-to-date, and complete information. Despite its great importance, the adoptions of EHR in low-income country settings, like Ethiopia, were lagging and increasingly failed. Assessing the readiness of stakeholders before the actual adoption of EHR is considered the prominent solution to tackle the problem. However, little is known about healthcare providers’ EHR readiness in this study setting. Accordingly, this research was conducted aiming at examining healthcare providers’ readiness for EHR adoption and associated factors in southwestern Ethiopia.MethodsAn institutional-based cross-sectional study was conducted from September 1 to October 30, 2021. A total of 423 healthcare providers working in public hospitals were selected using a simple random sampling technique. Multivariable logistic regression was fitted to identify determinant factors of overall healthcare providers’ readiness after the other covariates were controlled.ResultIn this study, the overall good readiness level of EHR adoption was 52.8% (n = 204) [95% CI of 47.9% to 56.6%]. Age, computer literacy, computer access at health facilities, attitude towards EHRs, awareness about EHRs, perceived benefit, and perceived technology self-efficacy were significantly associated with the overall health care providers’ readiness for the adoption of EHR using a cut point of P-value less than 0.05.ConclusionAround half of the respondents had a good level of overall healthcare providers’ readiness for the adoption of EHR which was considered inadequate. This finding implied that a huge effort is required to improve readiness before the actual implementation of EHRs. The finding implied that younger-aged groups were more ready for such technology which in turn implied; the older one needs more concern. Enhancing computer literacy, confidence building to raise self-efficacy of such technology, addressing the issue of computer availability at health facilities, building a positive attitude, awareness campaign of EHR, and recognizing the usefulness of such systems were the necessary measures to improve EHR readiness in this setting.Additionally, further studies are recommended to encompass all types of EHR readiness such as organizational readiness, technology readiness, societal readiness, and so on. Additionally, exploring the healthcare provider opinion with qualitative study and extending the proposed study to other implementation settings are recommended to be addressed by future works.

Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe

This exploratory study explores perceptions of Artificial Intelligence (AI) and organizational readiness to adopt AI, in the exhibition sector of the events industry. A theoretical framework synthesizing the Technology - Organization - Environment framework and the Technology Readiness Index was developed to guide this qualitative study. Seventeen senior managerial representatives from exhibition organizations across nine Western European countries were interviewed, and a reflexive thematic approach was adopted to analyse the data. The findings suggest that the European exhibition industry is a slow adopter of AI, which may impact its future competitiveness, despite the stimulus provided to AI adoption during the COVID-19 pandemic. The degree of confidence in organizational technological practices, financial resources, the size of the organization, and issues of data management and protection, as well as the impacts of the COVID-19 pandemic, motivate or inhibit readiness for AI adoption in the event industry. A new Exhibition Sector Readiness for AI Adoption Model is presented in this research that managers and researchers can use to analyze inhibitors and motivations for AI adoption, which is contextualized for the current challenges facing the exhibitions sector.

Automated defect detection in digital radiography of aerospace welds using deep learning

Aerospace welds are non-destructively evaluated (NDE) during manufacturing to identify defective parts that may pose structural risks, often using digital radiography. The analysis of these digital radiographs is time consuming and costly. Attempts to automate the analysis using conventional computer vision methods or shallow machine learning have not, thus far, provided performance equivalent to human inspectors due to the high reliability requirements and low contrast to noise ratio of the defects. Modern approaches based on deep learning have made considerable progress towards reliable automated analysis. However, limited data sets render current machine learning solutions insufficient for industrial use. Moreover, industrial acceptance would require performance demonstration using standard metrics in non-destructive evaluation, such as probability of detection (POD), which are not commonly used in previous studies. In this study, data augmentation with virtual flaws was used to overcome data scarcity, and compared with conventional data augmentation. A semantic segmentation network was trained to find defects from computed radiography data of aerospace welds. Standard evaluation metrics in non-destructive testing were adopted for the comparison. Finally, the network was deployed as an inspector’s aid in a realistic environment to predict flaws from production radiographs. The network achieved high detection reliability and defect sizing performance, and an acceptable false call rate. Virtual flaw augmentation was found to significantly improve performance, especially for limited data set sizes, and for underrepresented flaw types even at large data sets. The deployed prototype was found to be easy to use indicating readiness for industry adoption.

Assessing patient readiness for a patient portal implementation in the UAE

PurposeThis paper proposes a Web-based patient portal based on the electronic medical record. Such a portal can allow patients to manage their own health care, reduce health-care visits and significantly improve the quality of their health care.Design/methodology/approachA patient portal prototype and an accompanying online survey were distributed to assess the adoption readiness among a group of people in the United Arab Emirates (UAE).FindingsThe results from 470 survey participants demonstrated an enhanced awareness of this technology, and support the study hypotheses indicating that both intrinsic and extrinsic factors are important when considering the implementation of a patient portal in the UAE.Originality/valueThis study adds value to the few research studies undertaken in the Middle East discussing online health information technology and its adoption and usage among the population at large. The extended technology acceptance model, which contains two additional constructs, had not been previously validated in terms of a patient portal in the UAE, according to the author’s knowledge, adding more value. The UAE’s health-care system must use the benefits from the available IT infrastructure to provide a user-friendly online portal to encourage patients to manage their health care and health information.

Assessing the industrial readiness for adoption of industry 4.0 in Nepal: A structural equation model analysis

Industry 4.0 (I4.0) mainly focuses on manufacturing technology and processes that comprise a cyber-physical system (CPS), Internet of things (IoT), Industrial Internet of things (IIOT), Cognitive Computing and Artificial intelligence as innovation towards the computerization and exchange of information. Though it has been an emerging issue in the industrial and business world, very few studies has been undertaken in the Nepalese case. In this context, the study accesses the industrial readiness for the adoption of I4.0 in Kathmandu valley, Nepal. Explanatory Exploratory research design was adopted to examine if variables chosen actually affect industrial readiness and data was collected through structured questionnaires using both descriptive and inferential statistics via Structural Equation Modeling (SEM). Adopting the census method to collect data, a total of 287 industries located in three industrial estates were taken as a population. Collected data were analyzed using SPSS and AMOS. The study found that the major problem while adopting I4.0 is the lack of skilled manpower in the industrial sector. In addition, we found people, customers, and culture, strategy and leadership, governance and operations have a significant effect on technology innovation decision making. Similarly, government intervention plays a significant mediation role between dependent and independent variables. Furthermore, this study found industries in Nepal are not ready for I4.0 as they are not implementing any enabling technology that enables industry 4.0. These results will support managers/policymakers in recognizing the strategic actions that can be embraced in order to improve the company's readiness level to seek the optimum benefits from the adoption of I4.0 paradigms.

Technology Adoption Readiness in Disadvantaged Universities during COVID-19 Pandemic in South Africa

The Covid-19 pandemic has affected hundreds of million lives and taken over four million lives to date. As a result, governments and policymakers see the need for emergency action to reduce the spread of the virus. In an attempt to contain the virus, governments and policymakers worldwide introduced a different range of protection measures and interventions to change their citizen's behaviours, primarily through social distancing, interprovince lockdown, stay at home strategies, and quarantines. The different lockdown measures have created unique and challenging conditions with no documented equivalent in the education sector. A significant effect was that many Higher Education institutions worldwide were not ready to switch to online teaching and learning when the governments announced the sudden lockdown. This study discusses the effects of the Covid-19 pandemic on South Africa Higher Education Institutions, focusing on the historically disadvantaged universities. The study went further to evaluate the readiness of lecturers from selected disadvantaged universities to adopting online teaching and learning by applying the Technology Readiness-Acceptance Model (TRAM). Quantitative data was collected through an online questionnaire. Results show that the higher the average of optimism and innovativeness among the respondents' point towards the readiness of adopting technology. On the other hand, higher the average insecurity and discomfort show the uneasiness of adopting technologies by the respondents.

Perspectives on e-Learning In Higher Education System of Developing Nations: Readiness of Adoption and Comtemporary Challenges

Perspectives on e-Learning In Higher Education System of Developing Nations: Readiness of Adoption and Comtemporary Challenges

An application of data mining algorithms for predicting factors affecting Big Data Analysis adoption readiness in SMEs.

The adoption of Big Data Analysis (BDA) has become popular among firms since it creates evidence for decision-making by managers. However, the adoption of BDA continues to be poor among small and medium enterprises (SMEs). Therefore, this study adopted the Technology-Organization-Environment (TOE) framework to identify the drivers of readiness to adopt BDA among SMEs. Chi-square automatic interaction detection (CHAID), Bayesian network, neural network, and C5.0 algorithms of data mining were utilized to analyze data collected from 240 Vietnamese managers of SMEs. The evaluation model identified the C5.0 algorithm as the best model, with accurate results for the prediction of factors influencing the readiness to adopt BDA among SMEs. The findings revealed management support, data quality, firm size, data security and cost to be the fundamental factors influencing BDA adoption readiness. Moreover, the results identified the service sector as having a higher level of readiness toward the adoption of BDA compared to the manufacturing sector. The findings are imperative for the enhancement of the decision-making process and advancement of comprehension of the determinants of BDA adoption among SMEs by researchers, managers, providers and policymakers.

The Readiness of Smart Office Interior Implementation in Malaysia

Covid-19 is the most trending indication that digitalization and generation Z's arrival into the labour supply -drive companies to reconsider traditional office space. Smart office interior is the future of today, which involves using technology to facilitate productive and effective working. As a consequence of this occurrence, researchers and industry professionals are focusing on the research and development of smart office interiors. This study aimed to emphasize the readiness of smart office interiors and the potential consequences of implementing smart office interiors in Malaysia. Descriptive statistics were obtained using the questionnaire survey responses from various industrial sectors. This study indicated the corpus of knowledge on Malaysia's current readiness for smart office interiors adoption. To summarise, Malaysia's everyday situations show that more strategies are needed to be introduced in Malaysia to reap the benefits of the smart office revolution, which will save energy, time, and money.