A new innovation paradigm: European cohesion policy and the retreat of public science in countries in Europe's scientific periphery

This article seeks to undertake a critical assessment of the changing position of public science in the entrepreneurial ecosystem of the countries on the periphery of European research. These countries are driven by new innovation paradigm based on entrepreneurship, which are implemented within the European Smart specialization strategy (S3). This article argues that S3 is widely implemented in the cohesion countries and, while it provides substantial resources for science, technology, and innovation, it fails to provide sustainability in the public research sector. This has direct implications for policies concerning innovation and entrepreneurial ecosystems. In order to prove the thesis, the article provides theoretical argumentation for emergence of a new innovation paradigm, driven by the rise of the entrepreneurial ecosystem, its incorporation into S3, and a consequent retreat of science policy in favor of entrepreneurial policy. The empirical analysis is focused on the funding trends seen in the business and public research sectors over the last decade (2008–2017), which have clearly shown that S3 has not contributed, despite expectations, to an increase in public expenditure for science. This signifies S3's neglect of public research within entrepreneurial ecosystems and challenges the ability of S3 to reduce wide disparities in research and innovation performance across the European Union. This ultimately endangers the innovation potential of the entrepreneurial ecosystem itself.     

Research and development target‐setting difficulties addressed through the emergent method: technology forecasting using data envelopment analysis

The aim of this study is to provide a foundation for researchers and managers to discuss and resolve difficulties associated with research and development (R&D) target‐setting. While multiple studies mention the difficulty of R&D target‐setting, few have compiled reasons for these difficulties or addressed this issue in detail. This paper provides one of the first studies outlining reasons for R&D target‐setting difficulties through a literature review. It also provides an initial set of analyses and results after applying an emerging quantitative method, Technology Forecasting Using Data Envelopment Analysis (TFDEA), to illustrate these difficulties step‐by‐step to commercial airplanes. Results include determining the state of art in commercial airplane technology and technological rate‐of‐change variants in setting R&D targets.     

Adoption of health information technologies: the case of a wireless monitor for diabetes and obesity patients

This paper explores what determines the adoption of health information technologies through the use of a case study of a wireless service prototype developed for patients with diabetes and obesity. A technology acceptance model was used as the basis for developing the theoretical framework, which was later tested through a field study. Results indicated that the usefulness of an e-health service was affected by the quality of service, its compatibility with users’ lifestyle, the quality of support, the quality of information presented in the service, usage time, image, accessibility, and ease-of-use characteristics of the service. Designers should develop services that do not require much usage time as users do not want to spend much time using the service. In addition, users should be able to access data presented in the service quickly and easily when they need it. Customisable menu items and short cut keys can be used to make data access quick and easy.     

A research and development decision model for pharmaceutical industry: case of China

This paper evaluates prospective technology areas, development strategies, and various innovation resources in China's pharmaceutical sector through the use of a hierarchical decision model. The results indicate that although domestic SMEs are the major preferred innovation alternative, it is followed closely by foreign MNCs. The sensitivity analysis indicates that the effectiveness of policy decisions are influenced by certain high technology areas. Recombinant therapeutic proteins, recombinant vaccines, and monoclonal antibody technologies are identified as the major areas that will influence the priority of innovation resources. The research crafts a research framework to formulate innovation strategies in dealing with the uncertainties of technology development and policy decisions in the biopharmaceutical industry.     

Measuring Uncertainty for New Zealand Using Data‐Rich Approach

This paper develops two state‐of‐the‐art uncertainty indices for New Zealand by exploiting two separate data‐rich environments. The first index follows the methodology outlined in Jurado, Ludvigson and Ng (2015) to construct an estimate of uncertainty based on a large New Zealand macro dataset. The second index is constructed based on freely accessible and real time Google Trends data to provide a real‐time and freely‐accessible measure of uncertainty as in Castelnuovo and Tran (2017) and Shields and Tran (2018). Both indices do a reasonable job measuring uncertainty in New Zealand. VAR evidence documents significant impacts of uncertainty shocks on GDP in New Zealand.     

Exploring Adaptivity in Service Development: The Case of Mobile Platforms

Together with the developing technologies of a fast‐evolving Web environment, computers, and handheld devices, human–computer interaction is gaining more importance. User interface, as the interactive layer between user and information systems, has a great role in system adoption. Based on a technology acceptance model, acceptance of a system can be explained as a function of perceived usefulness (PU) and perceived ease of use (PEOU). Because several external variables have impact on PU and PEOU, the content and interface design of every single application should be addressed accordingly in a way that enhances the consumer's attitude about using the system by considering the impact of external variables through system usage. The objective of this study was to uncover potential external variables that may influence PEOU and PU, and indirectly influence behavioral attitude in mobile service acceptance and to explore the effects of those variables, primarily adaptivity and the relationships of all the variables among each other, through the limited interface of a mobile platform. Thus, developers will be able to relate the tuning of product features to the adoption of the products they are developing based on a platform.     

Innovative international strategies

The analysis of practitioners’ narratives in four industries—cables and wires, paint, footwear chocolate, and sugar confectionery—shows that innovative international strategies drive the dynamics of international competition. The four industry case studies suggest an empirical classification of innovative international strategies based on four main dimensions: nature of the firm’s competitive advantage, process of internationalization, segment scope, and level of coordination across borders. From these dimensions derive six types of innovative international strategies that change the rules of competition. The findings support a proactive view of economic development and strategic management. This framework can inspire decision makers in charge of crafting consistent and effective international strategies, as it shows that strategic choice can transform industry structure.     

The extended theory of planned behavior in Turkish customers' intentions to visit green hotels

Over the last decade, many studies have started to focus on understanding customers' green purchase intentions since the increasing importance of environmental issues in the hotel industry. This study examined customers' intentions to visit green hotels by using the theory of planned behavior. Two constructs, environmentally friendly activities and overall image, were incorporated into the theory, and the extended theory of planned behavior model was tested. The aim of this study was to analyze the effects of the extended theory of planned behavior constructs (attitudes towards green hotels, subjective norms, perceived control, environmentally friendly activities, and overall image) on visit intentions and also to predict the effects of visit intentions on willingness to pay, satisfaction, and loyalty. Within this aim, the research model was formed to show the antecedents and consequences of intentions to visit green hotels. Data were collected by face‐to‐face survey technique, and 400 usable questionnaires were held from the customers in Izmir City, Turkey. In the findings, four of five constructs in the antecedents of intentions, except perceived control, were found as significant, and all three consequences of intentions were found as significant. The results of the study supported the usage of the extended theory of planned behavior in the context of green hotels. Theoretical contributions and discussions were explained lastly.     

Research Forecasting for Health Information Technology (HIT), using technology intelligence

Due to the rapid pace of change in technology and its impact on society, there is an increasing demand for use of Technology Forecasting methods to improve policy planning and implementation. One such area is the field of Health Care and the impact of Health Information Technology (HIT) on this field. Using HIT has shown to be associated with reduced cost, improved quality, and better patient experience; yet HIT adoption has been slow. Therefore, there is a need to better understand the HIT adoption processes in order to meet the evolving requirements for health care delivery.We propose collecting Technology Intelligence for use in Research Forecasting as part of the larger HIT Technology Forecasting efforts. In this study, we systematically probed for HIT-related technology intelligence in the fields of Information Systems, Engineering Management, and Medical Informatics. Results of our analysis show that all three fields are active in Health IT research, but could benefit from further collaboration. We were also able to identify instances of emerging journals and emerging topics in Health IT research. We conclude that it is indeed plausible and meaningful to collect technology intelligence on HIT adoption, to support the overall goal of improving healthcare delivery.