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This research explores the impacts of content-generating devices (mobile phones versus personal computers) and content features (social content and achievement content) on consumer engagement with marketer-generated content (MGC) on social media. It also examines these factors' interaction effects on consumer engagement.

The study analyzed MGC that 210 companies had posted to Sina Weibo over three years, testing the study’s proposed model with negative binomial regression analysis.

The study's results show that MGC generated via mobile phones attracts more consumer engagement than MGC generated via personal computers. MGC with more social features attracts more consumer engagement, whereas MGC with more achievement features reduces consumer engagement. The authors also found that MGC with more social features generated via mobile phones and MGC with more achievement features generated via personal computers lead to more consumer engagement due to the congruency of the construal level of psychological distance.

This research enriches the literature by exploring the effects of content-generating devices and content features on consumer engagement in the MGC context, which extends the research on consumer engagement with social media from the context of user-generated content to the MGC.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

The present study aims to synthesize and conceptualize, through a systematic literature review (SLR), the current state of gamification knowledge in the tourism and hospitality (T&H) sector, providing a roadmap for future research recommendations for service research and practice.

The research is based on a systematic literature review and adopts a systematic quantitative approach to summarize existing evidence on gamification usage in the T&H sector, focusing on relevant service literature on gamification. The authors analyze 36 papers published between 2011 and 2019.

The authors synthesize existing knowledge into five themes describing gamification's role in T&H (Edutainment, Sustainable behavior, Engagement factors, Service provider-generated content and User-generated reviews). Then, a cross-analysis of the five themes reveals the pivotal elements (affordances, behavioral and psychological outcomes, and benefits) generated by gamification mechanics in T&H, simultaneously highlighting potential implications and relevant insights for service literature. The review identifies critical issues affecting gamification research and provides a future research agenda, considering opportunities for T&H and service research.

The study provides the first SLR investigating gamification in T&H. The findings present potential implications and relevant insights for T&H contributing to the construction of a more holistic understanding of gamification adoption in service research.

This paper aims to examine the recommendation system of the video-sharing website YouTube to study how control of users is effected on online platforms.

This paper conceptualises algorithmic systems as protocols – technological and social infrastructures that both facilitate and govern interactions between autonomous actors (Galloway and Thacker, 2004, 2007). It adopts a netnographic approach (Kozinets, 2002) to study not only the formal, technological systems of the platform but also the systems as they were made sense of, understood and enacted upon by actors. It relies both on information as revealed by the organisation itself, as well as discussions between lay users in online forums and press coverage.

The results of this study indicate that the ways in which platforms selectively facilitate interactions between users constitute a form of control. While maintaining the appearance of an open and neutral marketplace, interactions on the platform are in fact highly structured. The system relies on the surveillance of user interactions to rapidly identify and propagate marketable contents, so as to maximise user “engagement” and ad revenue. The systems place few demands or restrictions on individual users, instead control is effected in a probabilistic fashion, over the population of users as a whole, so as to, in aggregate, accomplish organisational goal.

This paper contributes to the literature on accounting and control practices in online spaces, by extending the notion of control beyond overt rankings and evaluations, to the underlying technical and social infrastructures that facilitate and shape interactions.

This study aims to analyze the role of corporate social responsibility (CSR) customer perceptions, customer–company identification and customer trust on customer engagement (CE), paying special attention to the moderating effects of two types of social media communication, firm-generated content and user-generated content.

The study uses a mixed-methods’ approach. First, a single-factor experiment using Twitter posts as stimuli with 227 hotel guests. The structural model was analyzed using SmartPLS 3.2.7. Second, structured in-depth interviews were undertaken with three hotel industry experts to complement the conclusions of the quantitative study.

The results show that when a customer trusts a hotel and identifies with its corporate values, CSR tweets generate CE toward the hotel. CSR communications made by customers reinforce the impact of CSR tweets on customer trust more than CSR tweets posted by hotels. Hotel industry experts give insights to explain these results in different types of hotels.

CSR communications made through Twitter affect customers’ perceptions of a hotel’s CSR activities and customer trust in hotels, especially if they originate from a source external to the company. This result can be of use for hotel managers who have not previously given importance to active CSR communications or the interactivity of social media.

The authors show the moderating effect of user-generated content in the relationship between CSR customer perceptions and customer trust, thus contributing to the research into the effectiveness of social media. They use a mixed-methods’ approach to increase the validity of the results.

Este estudio analiza el papel de las percepciones de RSC, la identificación cliente-empresa (CCI) y la confianza en el engagement del cliente (CE), prestando especial atención al efecto moderador de dos tipos de comunicación en redes sociales: Contenido Generado por la Empresa (FGC) y Contenido Generado por el Usuario (UGC).

Se emplean métodos mixtos: un experimento de un factor usando publicaciones de Twitter como estímulo con 227 huéspedes del hotel, cuyo modelo estructural se analizó con SmartPLS 3.2.7., y 3 entrevistas en profundidad con expertos de la industria hotelera.

Los resultados muestran que, cuando un cliente confía en el hotel y se identifica con sus valores corporativos, los tweets de RSC generan engagement. La comunicación de RSC emitida por usuarios refuerza el impacto de los tweets de RSC en la confianza del cliente más que los tweets publicados por hoteles. Los expertos de la industria hotelera aportan nociones para explicar estos resultados en diferentes tipos de hoteles.

La comunicación de RSC realizada a través de Twitter afecta las percepciones del cliente sobre las actividades de RSC del hotel y la confianza en el mismo, especialmente si proceden de una fuente externa a la empresa. Este resultado puede ser útil para gerentes de hoteles que no se benefician de la comunicación activa de RSC o la interactividad de las redes sociales.

Se valida el efecto moderador del UGC en la relación entre las percepciones de RSC y la confianza de los clientes, contribuyendo así a la investigación sobre la efectividad de las redes sociales. Se emplea un diseño mixto para incrementar la validez de los resultados.

Comunicación de RSC, Engagement del Consumidor, Fuente del mensaje, Contenido generado por la empresa, Contenido generado por el usuario, Twitter, Compromiso con el cliente

Trabajo de investigación

The purpose of this article is to explore how participants with different motivations (educational or leisure), familiarity with the medium (newbies and active Twitter users), and participating instructions respond to a highly structured digital social reading (DSR) activity in terms of intensity of engagement and social interaction.

A case study involving students and teachers of 211 Italian high school classes and 242 other Twitter users, who generated a total of 18,962 tweets commenting on a literary text, was conducted. The authors performed both a quantitative analysis focusing on the number of tweets/retweets generated by participants and a network analysis exploiting the study of interactions between them. The authors also classified the tweets with respect to their originality, by using both automated text reuse detection approaches and manual categorization, to identify quotations, paraphrases and other forms of reader response.

The decoupling (both in space and time) of text read (in class) and comments (on Twitter) likely led users to mainly share text excerpts rather than original personal reactions to the story. There was almost no interaction outside the classroom, neither with other students nor with generic Twitter users, characterizing this project as a shared experience of “audiencing” a media event. The intensity of social interactions is more related to the breadth of the audience reached by the user-generated content and to a strong retweeting activity. In general, better familiarity with digital (social) media is related to an increase in the level of social interaction.

The authors analyzed one of the largest educational social reading projects ever realized, contributing to the still scarce empirical research about DSR. The authors employed state-of-the-art automated text reuse detection to classify reader response.

Digital markets are increasingly constructed by an interplay between (non)human market actors, i.e. through algorithms, but, simultaneously, fragmented through platformization. This study aims to explore how interactional dynamics between (non)human market actors co-codify markets through expressive and networked content across social media platforms.

This study applies digital methods as cross-platform analysis to analyze two data sets retrieved from YouTube and Instagram using the keywords “sustainable fashion” and #sustainablefashion, respectively.

The study shows how interactional dynamics between (non)human market actors, co-codify markets across two social media platforms, i.e. YouTube and Instagram. The authors introduce the notion of sticky market webs of connection, illustrating how these dynamics foster cross-platform market codification through relations of exteriority.

Research implications highlight the necessity to account for all involved entities, including digital infrastructure in digital markets and the methodological potential of cross-platform analyses.

Practical implications highlight considerations managers should take into account when designing market communication for digital markets composed of (non)human market actors.

Social implications highlight the possible effects of (non)human market co-codification on markets and consumer culture, and corresponding countermeasures.

This study contributes to an increased understanding of digital market dynamics by illuminating interdependent market co-codification dynamics between (non)human market actors, and how these dynamics (de)territorialize digital market assemblages through relations of exteriority across platforms.

This study aims to describe the development of hospitality research in terms of research methods and data sources used in the 2010s.

Content analyses of the research methods and data sources used in original hospitality research published in the 2010s in the Cornell Hospitality Quarterly (CQ), International Journal of Hospitality Management (IJHM), International Journal of Contemporary Hospitality Management (IJCHM), Journal of Hospitality and Tourism Research (JHTR) and International Hospitality Review (IHR) were conducted. It describes whether the time span, functional areas and geographic regions of data sources were related to the research methods and data sources.

Results from 2,759 original hospitality empirical articles showed that marketing research used various research methods and data sources. Most finance articles used archival data, while most human resources articles used survey designs with organizational data. In addition, only a small amount of research used data from Oceania, Africa and Latin America.

This study sheds some light on the development of hospitality research in terms of research method and data source usage. However, it only focused on five English-based journals from 2010–2019. Therefore, future studies may seek to understand the impact of the COVID-19 pandemic on research methods and data source usage in hospitality research.

This is the first study to examine five hospitality journals' research methods and data sources used in the last decade. It sheds light on the development of hospitality research in the previous decade and identifies new hospitality research avenues.

Some consumers are engaged in online curation, a type of user-generated content, in ways that can be impactful for brands. An example of online curation includes organizing themed collections of product images on Pinterest. The purpose of this paper is to present a framework of online consumer curation, introducing this topic to the marketing literature.

Through the analysis of the business and academic literature, as well as a careful study of many examples of online consumer curation, the authors present a framework for understanding online consumer curation.

The actions taken by online consumer curators are similar to those of museum or art gallery curators: acquiring, selecting, organizing and displaying content for an audience. The motivations for consumers to engage in online curation include building/displaying their identities and making social connections with their online audience. One outcome possible for the audience that views the curation is gaining access to carefully selected and recommended content.

As online consumer curation is a new area of research, the authors suggest several marketing- and brand-relevant propositions that can be addressed in future research.

As consumers are frequently using product images and brand symbols in their online curation, it is important for marketing academics and practitioners to understand their actions.

The aim of the paper is to present a thorough introduction to the idea of online consumer curation by outlining relevant examples, providing a framework for understanding this activity and its implications for brand management, and listing ideas for future research.

Algunos consumidores se dedican a la “curación” en línea, un tipo de contenido generado por el usuario (UGC), de manera que pueden ser impactantes para las marcas. Un ejemplo de “curación” en línea incluye la organización de colecciones temáticas de imágenes de productos en Pinterest. El propósito de esta investigación es presentar un marco sobre la “curación” del consumidor en línea, introduciendo este tema en la literatura de marketing.

A través de nuestro análisis de la literatura académica y empresarial, así como del estudio cuidadoso de muchos ejemplos de “curación” de los consumidores en línea, presentamos un marco para comprender la “curación” de los consumidores en línea.

Las acciones realizadas por los “curadores” son similares a las de sus homólogos en museos o galerías de arte: adquirir, seleccionar, organizar y mostrar contenido para una audiencia. Las motivaciones para que los consumidores participen en la “curación” en línea incluyen construir/mostrar sus identidades y establecer conexiones sociales con su audiencia en línea. Un resultado posible para la audiencia que ve la “curación” es obtener acceso a contenido cuidadosamente seleccionado y recomendado.

Como la “curación” en línea es una nueva área de investigación, sugerimos varias propuestas relevantes de marketing y marca que pueden abordarse en futuras investigaciones.

Como los consumidores utilizan con frecuencia imágenes de productos y símbolos de marca en su “curación” en línea, es importante que los académicos y profesionales de marketing comprendan sus acciones.

La investigación presenta una introducción exhaustiva a la idea de la “curación” del consumidor en línea describiendo ejemplos relevantes, proporcionando un marco para comprender esta actividad y sus implicaciones para la gestión de la marca, y enumerando ideas para futuras investigaciones.

“Curación” del consumidor en línea, Comportamiento del consumidor en línea, Contenido generado por el usuario, Gestión de marca

The purpose of this study is to analyze how product placement through social media influencers (SMIs) during “new normal” can generate user-generated content (UGC) and determine the manners of product placement by SMIs who have become “homefluencers” by their skills.

This research applies a qualitative approach of thematic content analysis of a total of 49 micro and nano-homefluencer's contents in beauty fashion, clothing, workout-yoga, food and lifestyle sectors on Instagram.

The findings of this study identify the main five themes of homefluencers by analyzing UGC in the new normal portraying both positive and negative comments incorporating four manners of product placement as a framework backed by two identified skills: relevance and relationship.

This research pioneers the study on how SMIs as “homefluencers” can adapt product placement skills in crises strengthening UGC by proposing a framework in the existing influencer marketing literature, where research is scarce.

The findings of this research represent a guideline for effective SMI marketing development in the new normal and post-COVID. Based on the findings, recommendations are provided for the brand managers and influencers uplifting UGC blending skill of relevancy and relationship in product placement.

The author has contributed to the body of research by qualitatively analyzing how “homefluencer's” product placement in a crisis period can manage consistency and humanitarian association amplifying UGC and the practical implications in post-COVID.