BackgroundThe world’s population is aging, and with aging population comes an increase of chronic diseases and multimorbidity. At the same time a shortfall of trained health care professionals is anticipated. This raises questions on how to provide the best possible care. The use of Information and communication technology (ICT) and e-health has the potential to address the challenges that healthcare is facing. ICT applications and e-health, such as videophones, telemedicine and mobile devices, can benefit the healthcare system. Nonetheless, ICT is not used to its full potential. One of the key factors is the low adoption rate by nursing professionals. The nursing profession is characterized by teamwork and interdisciplinary collaboration. Nurses often work in nursing teams and collaboration between different disciplines is necessary for providing health care. Thus, collaboration is necessary when implementing ICT innovations.MethodsA systematic literature review was conducted in online databases PubMEd, CINAHL and IEEE, using key words related to innovation, nursing teams and adoption.ResultsThe result of the systematic review is that little is known about the relation between ICT adoption by nurses and the nature of collaboration by nurses in teams and in interdisciplinary networks. This leads to further research questions and a need for further research in this subject.
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Abstract: This case study examines the use of an eHealth application for improving preoperative rehabilitation (prehabilitation). We have analysed healthcare professionals' motivators and drivers for adopting eHealth for a surgical procedure at academic medical facilities. The research focused on when and why healthcare professionals are inclined to adopt eHealth applications in their way of working? For this qualitative study, we selected 12 professionals involved in all levels of the organisation and stages of the medical process and conducted semi-structured interviews. Kotter’s transformational change model and the Technology Acceptance Model were used as analytical frameworks for the identification of the motivation of eHealth adoption. The findings suggest that contrary to Kotter’s change model, which argues that adoption of change is based on perceptions and feelings, the healthcare drivers are rational when it comes to deciding whether or not to adopt eHealth apps. This study further elaborates the observation made by the Dutch expertise centre on eHealth, Nictiz, that when the value of an eHealth pplication is clear for a stakeholder, the adoption process accelerates. Analysis of the motivations and drivers of the healthcare professionals show a strong relationship with an evidence-based grounding of usefulness and the responsibility these professionals have towards their patients. We found that healthcare professionals respond to the primary goal of improving healthcare. This is true if the eHealth application will innovate their work, but mainly when the application will improve the patient care they are responsible for. When eHealth applications are implemented, rational facts need to be collected in a study before deployment of eHealth applications on how these applications will improve the patient's health or wellbeing throughout their so-called medical journey for their treatment. Furthermore, the preference to learn about new eHealth applications from someone who speaks from authority through expertise on the subject matter, suggests adoption by healthcare professionals may be accelerated through peers. The result of this study may provide healthcare management with a different approach to their eHealth strategy. Future research is needed to validate the findings in different medical organisational settings such as regional healthcare facilities or for-profit centers which do not necessarily have an innovation focus but are driven by other strategic drivers.
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from the article: "In the Netherlands, housing corporations are increasingly adopting self-service technologies (SSTs) to support affairs their tenants need to arrange. The purpose of the study is to examine the customers’ motivations of using SSTs in the context of the Dutch public housing sector. An empirical investigation is presented based on a sample of 1,209 tenants. Using partial least squares (PLS), the acceptance model of Blut, Wang, and Schoefer is adopted and tested. The results show that especially the need for interaction negatively influence the adoption of SSTs by tenants. Positively, subjective norm and self-efficacy influence the adoption. Furthermore, playfulness negatively influences this adoption. Developers of SSTs should focus on its ulitalitarian function, rather then invest in its playfulness. Moreover, adoption is propelled by the encouragement of others. This can be enhanced by positive word-of mouth and should therefore stimulated."
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In the Netherlands, many activities have been carried out to stimulate adoption of open online education in higher education. Still, large-scale adoption by (in Rogers’ terminology) the early and late majority is not taking place. In order to achieve large-scale adoption of OER, it is crucial to know what factors will stimulate such adoption. From previous inquiries it may be concluded that inclusion of openness at the institutional policy level is a necessary but insufficient precondition. Educators are considered to be the decisive change agents in large-scale adoption. A survey conducted in Fall 2015 provided some insight into the state of affairs of adoption by educators, but the data were insufficient to draw conclusions about why there is a lack of adoption. Therefore, in Fall 2016, a qualitative research has been carried out. Educators in 5 Dutch HE-institutions have been interviewed about their actual involvement with OER and other forms of open education: what do they do, how they do it, why they do what they do, what they want to achieve, what difficulties they encounter, what support they receive? As the institutional setting or environment of the educator is expected to play an important role in the adoption process of individual educators, other stakeholders within the HE institutions have been interviewed too. The approach taken in this research is that of a mixed-method approach, combining the results of the Fall 2015 survey and the qualitative research of Fall 2016 with outcomes of several other recent surveys in the Netherlands and elsewhere. Finally, a set of actions and activities both on the level of an institution and on a national level is being proposed, that could lead to large-scale adoption of open online education by Dutch HE educators.
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Despite the promises of learning analytics and the existence of several learning analytics implementation frameworks, the large-scale adoption of learning analytics within higher educational institutions remains low. Extant frameworks either focus on a specific element of learning analytics implementation, for example, policy or privacy, or lack operationalization of the organizational capabilities necessary for successful deployment. Therefore, this literature review addresses the research question “What capabilities for the successful adoption of learning analytics can be identified in existing literature on big data analytics, business analytics, and learning analytics?” Our research is grounded in resource-based view theory and we extend the scope beyond the field of learning analytics and include capability frameworks for the more mature research fields of big data analytics and business analytics. This paper’s contribution is twofold: 1) it provides a literature review on known capabilities for big data analytics, business analytics, and learning analytics and 2) it introduces a capability model to support the implementation and uptake of learning analytics. During our study, we identified and analyzed 15 key studies. By synthesizing the results, we found 34 organizational capabilities important to the adoption of analytical activities within an institution and provide 461 ways to operationalize these capabilities. Five categories of capabilities can be distinguished – Data, Management, People, Technology, and Privacy & Ethics. Capabilities presently absent from existing learning analytics frameworks concern sourcing and integration, market, knowledge, training, automation, and connectivity. Based on the results of the review, we present the Learning Analytics Capability Model: a model that provides senior management and policymakers with concrete operationalizations to build the necessary capabilities for successful learning analytics adoption.
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Although learning analytics benefit learning, its uptake by higher educational institutions remains low. Adopting learning analytics is a complex undertaking, and higher educational institutions lack insight into how to build organizational capabilities to successfully adopt learning analytics at scale. This paper describes the ex-post evaluation of a capability model for learning analytics via a mixed-method approach. The model intends to help practitioners such as program managers, policymakers, and senior management by providing them a comprehensive overview of necessary capabilities and their operationalization. Qualitative data were collected during pluralistic walk-throughs with 26 participants at five educational institutions and a group discussion with seven learning analytics experts. Quantitative data about the model’s perceived usefulness and ease-of-use was collected via a survey (n = 23). The study’s outcomes show that the model helps practitioners to plan learning analytics adoption at their higher educational institutions. The study also shows the applicability of pluralistic walk-throughs as a method for ex-post evaluation of Design Science Research artefacts.
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In 2015, the Object Management Group published the Decision Model and Notation with the goal to structure and connect business processes, decisions and underlying business logic. Practice shows that several vendors adopted the DMN standard and (started to) integrate the standard with their tooling. However, practice also shows that there are vendors who (consciously) deviate from the DMN standard while still trying to achieve the goal DMN is set out to reach. This research aims to 1) analyze and benchmark available tooling and their accompanied languages according to the DMN-standard and 2) understand the different approaches to modeling decisions and underlying business logic of these vendor specific languages. We achieved the above by analyzing secondary data. In total, 22 decision modelling tools together with their languages were analyzed. The results of this study reveal six propositions with regards to the adoption of DMN with regards to the sample of tools. These results could be utilized to improve the tools as well as the DMN standard itself to improve adoption. Possible future research directions comprise the improvement of the generalizability of the results by including more tools available and utilizing different methods for the data collection and analysis as well as deeper analysis into the generation of DMN directly from tool-native languages.
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from the Article: "The diffusion of digital innovations among SMEs in developing countries like Ghana is slow due to several factors. Well-known adoption models appear to have often been from developed country contexts and have proposed antecedents of behavioral intention instead of actual adoption. Consequently, many variables from existing models have been present in developing country contexts such as Ghana and yet most digital innovations have not been adopted. A systematic literature review is employed to explore the contexts within which earlier models of technology adoption were developed, and to build a revised model of factors that lead to actual adoption in a developing country context. The results indicate that acknowledged models were developed from contexts that are different from that of Ghana. The study improves the existing knowledge gap of antecedents of adoption in a developing country context. The model provides the reference factors that SMEs and governments must ensure that they enhance adoption of innovations." https://aisel.aisnet.org/mcis2017/23
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A number of organizations in cultural tourism have started to explore the use of augmented reality (AR) to enhance visitor experience. While many studies have been conducted to identify adoption criteria of mobile AR applications, research exploring the adoption of augmented reality smart glasses (ARSG) is still limited. This paper contributes to the technology adoption literature by investigating attributes of visitor adoption of ARSG in cultural tourism. Twenty-eight interviews were conducted with visitors to a UK art gallery, where they experienced an ARSG application. Findings inform an ARSG adoption framework that integrates societal impact, perceived benefits, perceived attributes of innovation, and visitor resistance as the main themes of ARSG adoption in cultural tourism.
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The adoption of digital technologies in zoological institutions is transforming animal care management. However, challenges persist in integrating mobile applications into daily workflows. This qualitative study examines technology adoption in a Southeast Asian zoological institution, focusing on a mobile application designed for animal care. Using the Technology Organisation-Environment framework and the challenge-hindrance perspective, we conducted four focus group interviews with 21 users to explore the factors influencing adoption, including perceived usefulness, ease of use, organisational support, and environmental pressures. Findings reveal that while the Application enhances efficiency, collaboration, and animal welfare, fostering a challenge appraisal and voluntary adoption, barriers such as usability issues, security fatigue, and interoperability contribute to a hindrance appraisal and involuntary adoption. Organisational support, including onboarding, co-creation, and technical assistance, is crucial in mitigating the hindrance appraisal and resistance. The study contributes to a holistic adoption framework, offering practical insights for designing and implementing digital tools in specialised work environments, ultimately enhancing technology-driven wildlife management and conservation efforts.
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