Data Processing and Legal Protection in Contracts in the Technologically Innovative Tourism Sector

This study aims to demonstrate that technological innovation in tourism represents a paradigm shift in law and is also changing the competition between tourist destinations. Technological innovation in the tourism sector is increasing the volume of data processing and calls for greater and more consistent (detailed) legal protection to combat dangers to private life, such as exclusion from ‘digital life’. The topics covered by the study include data processing in hospitality contracts, the enrichment of guest profiles, newsletter marketing, guest passes or discount cards in travel package contracts, and the question of whether data processing is necessary for fulfilling smart tourism contracts. The theoretical framework is based on contract and data protection law principles relating to purpose, data avoidance and transparency, the privacy rule by design and by default. The methodological approach is based on a careful balancing and weighing of the legal goods and values, and an assessment of the normative parameters. This research is responding to the need to develop appropriate policies on transformative innovations and is addressing different concerns relating to the adoption and diffusion of technological trends in tourism.

Artificial Intelligence and Economic Growth: A Theoretical Framework

The growing adoption of Artificial Intelligence (AI) has sparked ubiquitous concerns worldwide. Artificial intelligence can affect economic growth and employment. The influence is assumed to be substantial because the adoption of AI technology may lead to increased productivity, lower wages, prices, and labor substitution. Artificial intelligence can affect global economic growth with its widespread adoption and diffusion. We mathematically examined the effects of AI on economic growth, reiterating how AI is unique as a production factor. The models show that AI capital lowers capital prices, increases wages, and augments productivity. Besides, AI capital positively affects the labor share and vice versa, provided that AI and labor are complementary. We improved a task-based model to show AI raises both labor share and wages by generating new tasks. We also present the potential policy implications of AI adoption. We conclude AI can contribute to economic growth. Labor-abundant countries should adopt labor-augmenting technology, while countries with an aging population can adopt capital-augmenting technology. However, caution should be exercised in ensuring that the models are leveraged optimally.

Adoption of digital technology in the New Zealand motion picture industry

<p>This research applies Frambach's integrated model of the adoption and diffusion of innovations to the adoption of digital technology in the New Zealand motion picture industry. Previous models concerning innovation adoption have typically focused on adopter side variables. The model employed here integrates supply-side variables with the adopter-side variables focused on in traditional research. This research extends Frambach's model to consider the time and extent of adoption. The model is tested through a mail-out survey. Tests of associations between dependent and independent variables are carried out through four measures of association in a bivariate fashion. The results show that supply-side and adopter-side variables are both important influencers of the extent of adoption of digital technology in the motion picture industry. However supply-side factors do not appear to be important determinants of the time of adoption of digital technology in this industry.</p>

Adoption of digital technology in the New Zealand motion picture industry

<p>This research applies Frambach's integrated model of the adoption and diffusion of innovations to the adoption of digital technology in the New Zealand motion picture industry. Previous models concerning innovation adoption have typically focused on adopter side variables. The model employed here integrates supply-side variables with the adopter-side variables focused on in traditional research. This research extends Frambach's model to consider the time and extent of adoption. The model is tested through a mail-out survey. Tests of associations between dependent and independent variables are carried out through four measures of association in a bivariate fashion. The results show that supply-side and adopter-side variables are both important influencers of the extent of adoption of digital technology in the motion picture industry. However supply-side factors do not appear to be important determinants of the time of adoption of digital technology in this industry.</p>

Efficacy of STC in Magnetically Coupled High Frequency Power Electronics Systems: Full-Bridge DC-DC Converter

Due to its simple gain selection and implementation procedures high-gain sliding mode control idea was introduced. Apart from achieving robustness features, the aim was to reduce product-design cycle time. To overcome its basic chattering issues, it was replaced by complex super twisting control (STC). Subsequently, the research in this field has been extensive, intense and persistent. The idea has been validated in several applications generating great hope in minds of industry experts. Its real success, however, would depend on its adoption and diffusion into industry domain, where an analysis of validating STC based products is due. In STC, selection of gains is based on worst-case values of disturbance and/or its derivative. Can such procedure ensure controller’s reliable functioning? This article proposes that such simplistic procedure of gain selection may not work for power electronics controllers where, particularly, the actuation or controlled power transfer to load is through magnetically-coupled system. Using practical approach, this article elaborates that optimally designed transformer, driven by high-gain super twisting controller, invites problem of core saturation leading to higher switching losses, poor operating duty cycle of the system and there could be problem of reliability. It further details an alternate high-gain controller that generates superior efficacy.

Adoption and Diffusion of Agroecological Practices in the Horticulture of Catalonia

The environmental impact of conventional food production systems imposes a rapid transition towards sustainable production systems through the adoption of agroecological practices. The barriers and accelerators of the adoption of agroecological practices were identified for horticultural crops in Catalonia. Eight interviews and thirty surveys were conducted with local producers. Results show that the loss of producer income and the lack of social awareness regarding organic products are among the important barriers to the adoption of agroecological practices, while information about the experience of other farmers is considered a motivational factor. Finally, the study concludes that the adoption of agroecological practices has economic, political, social, academic and agronomic components.

Innovations in Health Care—A Conceptual Framework

Innovations are the source of all human development and improvement of quality of life. At the same time, they challenge existing standards, solutions and societal patterns. In health care in particular, innovations enable us to treat previously incurable diseases or to make better use of scarce resources. However, they also make existing health care technologies obsolete, force specialists to learn completely new methods and require high investments. Consequently, in this paper we develop a conceptual framework model for the development, adoption and diffusion of innovations in health care. We analyse barriers and promoters of innovations, in particular meta-stability, costs, innovative ability and leadership and apply the framework to three innovations: personalized medicine, digital health, and implants. We conclude that strategic innovation management in healthcare is a prerequisite of the rapid development and adoption of innovations and the improvement of quality of life of the (aging) population.