Innovation Dynamics Through the Encouragement of Knowledge Spin-Off From Touristic Destinations

The present approach aims to explore the innovation dynamic that may lead to knowledge opportunities in a specific regional cluster characterized by a strong touristic positioning. The new technology-based companies, namely the spin-out created from university research, represent a possible and reliable approach to the economy stimulation. This said, it is mandatory to explore the topics that will allow a reflection on the networks associated with innovation processes, developed from the relations between the public universe (including universities and research centers), and the new technology or humanistic based companies. This chapter intends to be a contribution to the discussion of innovation clusters and sets the preliminary issues to discuss and implement an innovation ecosystem. This chapter explores and reflects the importance of regional innovation clusters dynamics, setting and describing the steps and specific strategical procedures in order to implement an innovation ecosystem, using as example a specific touristic territory.

Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis

Artificial intelligence (AI) is emerging as a technology at the center of many political, economic, and societal debates. This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics and technology evolution. The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. Results indicate a growing yet concentrated, non-collaborative and multi-path development and protection profile for AI patenting, with cross-organization knowledge flows based mainly on interorganizational knowledge citation links.

The emergence of a Social Innovation Ecosystem in Portugal: An exploratory approach based on the perspective of strategic stakeholders

The concept of ecosystem has been used to describe a dynamic set of relationships, services and interdependencies that potentiate the creation, renewal and growth of organizations. Social innovation is largely influenced by ecosystem conditions. The Portuguese social innovation ecosystem is a particularly interesting case study, as it assumes a hybrid structure that expresses a variety of policy schemes, networks and support structures. This article debates the concept of social innovation ecosystem and presents an exploratory approach to its mapping. Based on interviews with strategic stakeholders in the social and solidarity economy and social enterprises, the study elaborates on the specificities of the social innovation ecosystem. The Portuguese ecosystem is comprised of three sub-ecosystems that show different weights, limited connections and overlapping: social economy, social business, and the social solidarity ecosystem. The article concludes with an overview of the current state of social innovation, emphasizing the perspectives of stakeholders on recent experiences that the Portuguese state has developed in establishing dialogue within organizations integrating social innovation dynamics.

A Model-Based Strategy for Developing Sustainable Cosmetics Small and Medium Industries with System Dynamics

Global customer consciousness for more sustainable products and government requirements for a more sustainable industry have motivated cosmetics small and medium industries (SMIs) to innovate the strategy by integrating sustainability principles into their manufacturing processes. However, the dynamic complexity of balancing sustainability efforts, stakeholders’ interests, and uncertainty in material pricing require a conceptual reference model to help managers and decision-makers cope with the transition process. This work therefore proposes a model-based strategy using system dynamics to assist managers and stakeholders in SMIs to clarify their possible pathways and to offer a framework to understand, guide, and generate future strategies. In multiactor, multistakeholder conditions, the proposed methodology can provide insights into how stakeholders can effectively intervene to improve sustainability through open innovation dynamics models. The case study presented here on a personal care cosmetics company demonstrates several leverage points and obstacles, thereby allowing each stakeholder to understand their strategic role in realizing sustainable cosmetics SMIs.

REMIND2.1: transformation and innovation dynamics of the energy-economic system within climate and sustainability limits

This paper presents the new and now open-source version 2.1 of the REgional Model of INvestments and Development (REMIND). REMIND, as an integrated assessment model (IAM), provides an integrated view of the global energy–economy–emissions system and explores self-consistent transformation pathways. It describes a broad range of possible futures and their relation to technical and socio-economic developments as well as policy choices. REMIND is a multiregional model incorporating the economy and a detailed representation of the energy sector implemented in the General Algebraic Modeling System (GAMS). It uses non-linear optimization to derive welfare-optimal regional transformation pathways of the energy-economic system subject to climate and sustainability constraints for the time horizon from 2005 to 2100. The resulting solution corresponds to the decentralized market outcome under the assumptions of perfect foresight of agents and internalization of external effects. REMIND enables the analyses of technology options and policy approaches for climate change mitigation with particular strength in representing the scale-up of new technologies, including renewables and their integration in power markets. The REMIND code is organized into modules that gather code relevant for specific topics. Interaction between different modules is made explicit via clearly defined sets of input and output variables. Each module can be represented by different realizations, enabling flexible configuration and extension. The spatial resolution of REMIND is flexible and depends on the resolution of the input data. Thus, the framework can be used for a variety of applications in a customized form, balancing requirements for detail and overall runtime and complexity.

Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic

The fashion industry has been continuously growing over the years, yet it is an industry that was greatly affected by the COVID-19 pandemic. The purpose of the study was to determine the factors affecting buying behavior of Filipinos towards clothing apparel during the COVID-19 pandemic. There were 457 respondents who voluntarily participated and answered an online questionnaire. Structural equation modeling (SEM) indicated that marketing mix was found to have significant effects on attitude, subjective norm, and perceived behavioral control, which subsequently led to purchase intention. In addition, the COVID-19 latent variable was found to have significant effects on self-perceived severity and self-efficacy, which subsequently led to attitude and purchase intention. Interestingly, marketing mix was found to have the highest effect on actual purchase, which indicated that innovation dynamics are the keys for the buying behavior. The SEM construct can be applied to determine the clothing apparel buying behaviors of consumers in other countries, particularly during the COVID-19 pandemic. Finally, advertisements, promotions, sales, and health safety should be considered as innovation dynamics during the COVID-19 pandemic.

Innovation Behavior of Salvadoran Food & Beverage Industry Firms

This paper presents a quantitative analysis of the external and internal determinants that affect the innovation dynamics of a low-tech sector in a less developed economy; the food & beverage (F&B) industry in El Salvador. The empirical framework relies on a multivariate probit analysis applied to data from El Salvador’s First National Innovation Survey 2013. The results show that R&D activities, use of industrial protection by F&B industry firms as well as relationships between firms and knowledge agents are useful for technological innovations while the qualifications of firms’ workforce and the relationships between firms and value chain agents prove useful for non-technological innovations. In addition, firms can take advantage of their size and location in the department of San Salvador to promote product innovation, whereas firms’ maturity is seen to be a disadvantage. Based on the results to emerge, the role that public science, technology and innovation (STI) policies as well as STI business strategies can play in the Salvadoran agri-food industry innovation system is seen to be huge.