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Although tourism destination image is a widely studied subject, the perspective of local players is generally neglected, albeit its relevance for informing the positioning and brand management strategies of the places is recognized. This chapter aims to determine the perceptions of key local public organizations from the historical-cultural and heritage sectors and companies linked to commerce and tourism (private sector) about the historic center of a United Nations Educational, Scientific, and Cultural Organization (UNESCO) World Heritage site in Brazil. The results of this investigation contribute to the development of marketing and tourism development strategies in historic towns, especially those classified as World Heritage by UNESCO.

This research sought to propose a theoretical model that analyzes the factors associated with unlearning (individual and organizational) and contributes to generating and realizing ideas among young people at the beginning of their careers based on the predominant type of structure.

The study had a sample (n = 971) and used the multivariate data analysis partial least squares - Structural Equation Modeling (PLS-SEM regular) and multigroup analysis (PLS-MGA) to identify significant differences between the estimates of the specific parameters of each group (a- Organic/b- Mechanistic).

All the direct relationships and formulated mediations were found to be supported, except for H6 (ET→EO) within the group that had a primarily mechanistic organizational structure. Thus, the more turbulent the environmental, the more initiative-taking, innovative and risk-taking a company tends to be. However, it remains to be seen whether the organizational structure plays a role in facilitating or hindering this relationship. H1 (IG→IR) indicates that predominantly organic organizations have a stronger and more consistent relationship with the knowledge developed through individual and organizational unlearning process. This knowledge contributes to the idea-generation process and ultimately leads to realizing those ideas.

The article contributes to literature by proposing an original and integrated theoretical model incorporating individual and organizational approaches to unlearning to understand the effect on idea generation and realization.

Disruptive technologies are accelerating global growth. Artificial intelligence (AI) has the potential to transform the idea of delivering value to end users. On the other hand, the growth of Industry 5.0 has given rise to the concept of humanizing technology, and AI is a promising technology with the potential to contribute to business success. Nevertheless, the idea of value creation in the field of AI is novel, so it is necessary to define the meaning of value by understanding the context of AI applicability in different environments and industries. In this chapter, the author uses the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) procedure to conduct an SLR that provides interesting insights into the focus, industries, and methodologies and approaches used in existing research. Following the initial literature review on the state of the art of AI and value creation, the author also offers a reflection on the strategic implications of AI in the field of marketing, postulating a macrovalue creation framework that addresses the existence of implications on three different levels: emerging markets, Sustainable Development Goals, and adoption issues. Therefore, this chapter examines the value creation perspectives of AI to understand the current research focus and future directions.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

Machine learning (ML) analytical tools are increasingly being considered as an alternative quantitative methodology in management research. This paper proposes a new approach for uncovering the antecedents behind product and product–service innovation (PSI).

The ML approach is novel in the field of innovation antecedents at the country level. A sample of the Equatorian National Survey on Technology and Innovation, consisting of more than 6,000 firms, is used to rank the antecedents of innovation.

The analysis reveals that the antecedents of product and PSI are distinct, yet rooted in the principles of open innovation and competitive priorities.

The analysis is based on a sample of Equatorian firms with the objective of showing how ML techniques are suitable for testing the antecedents of innovation in any other context.

The novel ML approach, in contrast to traditional quantitative analysis of the topic, can consider the full set of antecedent interactions to each of the innovations analyzed.

This paper aims to investigate the competitive potential of different classes of municipalities within larger metropolitan areas, considering three dimensions of place competitiveness, associated to contemporary economic recovery agendas: the “dual transition” (green and digital) and socio-economic resilience.

The proposed methodology is divided in two stages, the first aiming at developing a new Index of Urban Competitiveness, based on three key dimensions of place development, by using principal component analysis and hierarchical cluster analysis; the second intends to identify municipalities’ main competitive assets, throughout the examination of the existing links between the overall competitiveness index and intra-metropolitan place conditions in each dimension. This methodology is applied to the metropolitan areas of Porto and Lisbon.

The analysis shows a weak link between population size and urban competitiveness, suggesting that economic recovery investments primarily targeting larger municipalities will not necessarily lead to greater metropolitan competitive advantages. On the contrary, taking into consideration place-based interventions for different “clubs” of municipalities would more likely contribute to enhance competitive performance and valorise territorial assets. Furthermore, while the relationship between competitiveness and environmental performance appears to be non-linear, digitalization and economic and social resilience prove to be key for urban competitive potential.

By drawing on contemporary notions of urban competitiveness, the work proposes a revised method to evaluate competitiveness, latent qualities and intrinsic features of places, constituting an initial step to conceive suitable metropolitan development and investment strategies for economic recovery.

This chapter investigates residents' perception of tourism development on the small tourist island of Santiago, Cape Verde, during the crisis caused by the COVID-19 pandemic. Specifically, it shows how the pandemic situation is affecting residents' perceptions of tourism impacts, their quality of life, and support for tourism development. Data were collected during winter 2020–2021. Partial least square structural equation model (PLS-SEM) was used to assess interrelations among constructs. The study contributes to the literature by extending the understanding of residents within the current COVID-19 pandemic context. Results demonstrate that their support for tourism was positively influenced by their quality of life.

The paper aims to understand why and how paratextual elements are included in annual reports, hence how meaning is made through the workings of language and imagery.

A comprehensive framework of analysis, combining Genette’s paratextual elements with Barthes’ rhetoric and denotation and connotation concepts, is applied to the case study of the dstgroup, a Portuguese engineering and construction group.

The study demonstrates the potential of the annual report as a communication tool between an organisation and its stakeholders. The framework of analysis evidences that the paratextual elements highlight and supplement accounting information and that the denotative and connotative meanings associated with them make visible and enhance intangible features of the organisation.

The paper extends theories from other interdisciplinary fields to accounting communication and proposes a comprehensive framework that combines the writings of Genette and Barthes. By exploring the Portuguese under-researched context, it also adds to the literature by analysing the rationales and choices of the preparers on the inclusion of paratextual elements in annual reports.

Este artículo pretende entender por qué y cómo se incluyen elementos paratextuales en los informes anuales y, cómo se construye el significado a través del funcionamiento del lenguaje y las imágenes.

Se desenvolvió un marco de análisis global, que combina los elementos paratextuales de Genette y los conceptos de retórica y denotación y connotación de Barthes. Este marco se aplicó al estudio de caso del grupo dst, un grupo portugués de ingeniería y construcción.

El estudio muestra el potential del informe anual como herramienta de comunicación entre una organización y sus grupos de interés. El marco de análisis evidencia que los elementos paratextuales resaltan y complementan la información contable y que los significados denotativos y connotativos asociados a ellos hacen visibles y realzan rasgos intangibles de la organización.

Este artículo extiende teorías de otros campos interdisciplinarios a la comunicación contable y propone un marco global que combina los escritos de Genette y Barthes. Explorando el contexto portugués, insuficientemente investigado, también se añade a la literatura mediante el análisis de las motivaciones y opciones de los preparadores de los informes anuales sobre la inclusión de elementos paratextuales.