Developing an integrated technology roadmapping process to meet regional technology planning needs: the e-bike pilot study

Smart grid is a promising class of new technologies offering many potential benefits for electric utility systems, including possibilities for smart appliances which can communicate with power systems and help to better match supply and demand. Additional services include the ability to\ud better integrate growing supplies of renewable energy and perform a variety of value-added services on the grid. However, a number of challenges exist in order to achieving these benefits.\ud Many utility systems have substantial regulatory structures that make business processes and technology innovation substantially different than in other industries. Due to complex histories regarding regulatory and deregulatory efforts, and due to what some economists consider natural monopoly characteristics in the industry, such regulatory structures are unlikely to change in the immediate future. Therefore, innovation within these industries, including the development of\ud smart grid, will require an understanding of such regulatory and policy frameworks, development of appropriate business models, and adaptation of technologies to fit these emerging requirements. Technology Roadmapping may be a useful method of planning this type of future development within the smart grid sector, but such technology roadmaps would require a high level of integrated thinking regarding technology, business, and regulatory and policy considerations. This research provides an initial examination of the process for creating such a type of integrated technology roadmapping and assessment process. This research proposes to build upon previous research in the Pacific Northwest and create a more robust technology planning process that will allow key variables to be tested and different pathways to be explored

An acceptance model for the adoption of smart glasses technology by healthcare professionals

In the recent years, there has been an increase in the interest from different industries in the adoption of smart wearable devices in the light of their inevitable ubiquity. One type of these devices is the Augmented Reality Smart Glasses (ARSGs), which can have great effect in different areas through providing timely information to users. One of the industries that can significantly reap the benefits of this technology is healthcare. However, as healthcare is a very multi-dimensional industry, there is a need for a multifaceted look into the adoption and acceptance of smart glasses by health professionals. This study tends to examine the acceptance of smart glasses by healthcare professionals based on Technology Acceptance Model (TAM) as there is an imperative for empirical studies on user perceptions, attitudes, and intentions. For this purpose, five external factors are extracted from the literature and field study, being integration with information systems, external effects, hands-free feature, technological compatibility, and documentation. The model is examined by using PLS-SEM methodology. This study found documentation to have the strongest impact on intention due to the substitution of paperwork by mobile devices and facilitation of continuous documentation

Social Media Adoption in Education: A Systematic Review of Disciplines, Applications, and Influential Factors

Employing social media applications for instructional activities has become a trendy topic, with a relatively large number of studies published yearly. However, identifying the factors influencing social media adoption and having a clear taxonomy that guides further research are neglected in the extant literature. Understanding which specific disciplines use specific social media applications also requires further investigations. Therefore, this systematic review retrieved and analyzed 713 studies published on social media adoption that relied on “Technology Acceptance Model” (TAM) as the basic model. After critically evaluating the collected publications against the inclusion and exclusion criteria, 45 studies were eventually shortlisted for in-depth analysis. The main findings indicated that most of the analyzed studies collected data from students enrolled in the business discipline. Facebook is found to be the primary application used in most of the analyzed studies for educational purposes. The influential factors affecting social media adoption were classified into three distinct groups, including external factors, behavioral intention antecedents, and moderating factors. We have also classified the behavioral intention antecedents into three distinct clusters, including user, social, and technology aspects. The majority of the existing literature was conducted in individualistic settings with limited exposure to collectivistic societies. This review is believed to provide a quick grasp of the disciplines, applications, and determinants influencing social media adoption in higher education

Diffusion of multiple technology generations: an agent-based simulation approach

Günther M. Diffusion of multiple technology generations: an agent-based simulation approach. In: Kocaoglu DF, Anderson TR, Daim TU, Kozanoglu DC, Niwa K, Perman G, eds. PICMET '16: Technology Management for Social Innovation. 2016: 2931-2940

Managing geographically dispersed teams: from temporary to permanent global virtual teams

The rise and spread of information communication technologies (ICT) has enabled increasing use of geographically dispersed work teams (Global Virtual Teams). Originally, Global Virtual Teams were mainly organised into temporary projects. Little research has focused on the emergent challenge for organisations to move towards establishing permanent Global Virtual Teams in order to leverage knowledge sharing and cooperation across distance. To close this gap, this paper will set the scene for a research project investigating the changed preconditions for organisations. As daily face-to-face communication is not the basis for developing manager-subordinate, as well as member-member relations, the development of teams to work together efficiently and effectively in a virtual setting has often been neglected. Part of this discussion are the changed parameters in relation to increasing global competition; a new generation of self-lead digital natives, who are already practising virtual relationships and a new approach to work, and currently joining the global workforce; and improved communication technologies

Internet of things technology diffusion forecasts

Prognosticators and pundits are forecasting an explosion over the next decade in the number of sensors connected to wired and wireless networks, also referred to as the Internet of Things. The challenge is that these sensor forecasts are being made without taking into account the infrastructure required to manufacture and operate the sensors. Financial forecasts of individual infrastructure components have been made, but they give point forecasts rather than diffusion curves. It is also often not clear what models these forecasters are using, as they are often in proprietary reports. The present study provides sensor and sensor infrastructure technology component diffusion forecasts using a sigmoidal model of product diffusion. A plurality of technology diffusion curves was computed, one for each sensor infrastructure component technology. To identify the potential lack of availability of a component or a set of components, the forecast curves were then examined for temporal commonalities and differences. Thus this study provides a method for forecasting an emerging technology