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This paper investigates the influence of firms' communication in terms of family firm identity and country-of-origin on consumer response.

A self-supplied online experiment in Chile and Spain is employed using as dependent variables brand trust and intention to buy. The experiment includes the following factors: family firm identity (family vs non-family), country of origin (national vs foreign) and as a manipulation check (type of product: hedonic vs utilitarian).

The results indicate that communicating the family firm identity increases brand trust and purchase intention. Consumers show higher scores on trust and purchase intention when exposed to national country of origin products. The effect of the variability on the dependent variables is greater when the family firm identity is communicated. Trust and purchase intention are different in Chilean and Spanish consumers when the family firm identity is combined with a national country of origin cue.

This article contributes to family business theory by exploring how to capitalize on the family firm identity component in brand communication. It also contributes to the theory of corporate brand identity by proposing a communication model oriented toward consumer behavior. It also examines firms' communication (family firm identity and country-of-origin) on consumer.

This study explores the effect of video assistant referee (VAR) sponsorship on spectator response and compares it with advertising and conventional sponsorship.

An experiment with 809 subjects is conducted by analyzing 20 one-minute video clip stimuli from a Premier League soccer game divided into four formats: two formats of VAR sponsorship, advertising, and conventional sponsorship.

The results show that the indicators of recall, credibility, and perceived congruence improve when the VAR sponsorship format is used.

This is the first manuscript to examine the effectiveness of a new type of sponsorship: VAR sponsorship. This manuscript provides metrics that will guide practitioners on whether to use this type of sponsorship.

This article presents the Special Issue (SI, 35-2) of ARLA, edited (not exclusively) with the best articles from the specialized conference of the Academy of Innovation, Entrepreneurship and Knowledge (ACIEK, 2021) conference and performs a bibliometric analysis on innovation, management, governance and sustainable growth.

Guest editors conduct a quantitative and qualitative analysis of the scholarly literature by examining the characteristics of publications and how articles published in this SI contribute to their growth.

Innovation, management and governance for sustainable growth is an area that revolves around five points: (1) sustainable innovation in SMEs, (2) technological innovation, social capital and information patents to create value chains and financial development in the textile industry, (3) knowledge management and competitiveness for growth and productivity, (4) social entrepreneurship, business ecosystems and startups for sustainable development and (5) marketing-based business strategies for sustainable development.

From the analysis conducted, it is concluded that more research is needed on knowledge management and competitiveness in developing countries, such as Latin American and African countries, and to compare the results with more developed countries.

Este artículo presenta el Número Especial (SI, 35-2) de ARLA, editado (no exclusivamente) con los mejores artículos de la conferencia especializada de la conferencia Academy of Innovation, Entrepreneurship, and Knowledge (ACIEK, 2021) y realiza un análisis bibliométrico sobre innovación, gestión, gobernanza y crecimiento sostenible.

Los editores invitados realizan un análisis cuantitativo y cualitativo de la literatura académica examinando las características de las publicaciones y cómo los artículos publicados en este SI contribuyen a su crecimiento.

La innovación, gestión y gobernanza para el crecimiento sostenible es un área que gira alrededor de cinco puntos: (1) innovación sostenible en las PYMES, (2) innovación tecnológica, capital social y patentes de información para crear cadenas de valor y desarrollo financiero en la industria textil, (3) gestión del conocimiento y competitividad para el crecimiento y la productividad, (4) emprendimiento social, ecosistemas empresariales y startups para el desarrollo sostenible, y (5) estrategias empresariales basadas en el marketing para el desarrollo sostenible.

Del análisis realizado se concluye que es necesario investigar más sobre la gestión del conocimiento y la competitividad en los países en desarrollo, como los latinoamericanos y africanos y comparar los resultados con los países más desarrollados.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.