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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From the paper: "Abstract This study investigates whether there are major differences between process management and innovation between the IT and more traditional industries. Although both industries are quite similar, the research results show that the IT industry is more innovative in comparison to more traditional industries. The traditional industries are more risk averse towards new technologies, which makes them less innovative than the IT industry."
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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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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 promotor was Prof. Erik Jan Hultink and copromotors Dr Ellis van den Hende en Dr R. van der Lugt. The title of this dissertation is Armchair travelling the innovation journey. ‘Armchair travelling’ is an expression for travelling to another place, in the comfort of one’s own place. ‘The innovation journey’ is the metaphor Van de Ven and colleagues (1999) have used for travelling the uncharted river of innovation, the highly unpredictable and uncontrollable process of innovation. This research study began with a brief remark from an innovation project leader who sighed after a long and rough journey: ‘had I known this ahead of time…’. From wondering ‘what could he have known ahead of time?’ the immediate question arose: how do such innovation journeys develop? How do other innovation project leaders lead the innovation journey? And could I find examples of studies about these experiences from an innovation project leader’s perspective that could have helped the sighing innovation project leader to have known at least some of the challenges ahead of time? This dissertation is the result of that quest, as we do know relatively little how this process of the innovation project leader unfolds over time. The aim of this study is to increase our understanding of how innovation project leaders lead their innovation journeys over time, and to capture those experiences that could be a source for others to learn from and to be better prepared. This research project takes a process approach. Such an approach is different from a variance study. Process thinking takes into account how and why things – people, organizations, strategies, environments – change, act and evolve over time, expressed by Andrew Pettigrew (1992, p.10) as catching “reality in flight”.
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Digital innovation in education – as in any other sector – is not only about developing and implementing novel ideas, but also about having these ideas effectively used as well as widely accepted and adopted, so that many students can benefit from innovations improving education. Effectiveness, transferability and scalability cannot be added afterwards; it must be integrated from the start in the design, development and implementation processes, as is proposed in the movement towards evidence-informed practice (EIP). The impact an educational innovation has on the values of various stakeholders is often overlooked. Value Sensitive Design (VSD) is an approach to integrate values in technological design. In this paper we discuss how EIP and VSD may be combined into an integrated approach to digital innovation in education, which we call value-informed innovation. This approach not only considers educational effectiveness, but also incorporates the innovation’s impact on human values, its scalability and transferability to other contexts. We illustrate the integrated approach with an example case of an educational innovation involving digital peer feedback.
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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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