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This paper proposes an approach to identify categorical influencers (i.e. influencers is the person who is active in the targeted categories) in social media channels. Categorical influencers are important for media marketing but to automatically detect them remains a challenge.

We deployed the emerging deep learning approaches. Precisely, we used word embedding to encode semantic information of words occurring in the common microtext of social media and used variational autoencoder (VAE) to approximate the topic modeling process, through which the active categories of influencers are automatically detected. We developed a system known as Categorical Influencer Detection (CID) to realize those ideas.

The approach of using VAE to simulate the Latent Dirichlet Allocation (LDA) process can effectively handle the task of topic modeling on the vast dataset of microtext on social media channels.

This work has two major contributions. The first one is the detection of topics on microtexts using deep learning approach. The second is the identification of categorical influencers in social media.

This work can help brands to do digital marketing on social media effectively by approaching appropriate influencers. A real case study is given to illustrate it.

In this paper, we discuss an approach to automatically identify the active categories of influencers by performing topic detection from the microtext related to the influencers in social media channels. To do so, we use deep learning to approximate the topic modeling process of the conventional approaches (such as LDA).

Over the last few decades, precarious work rose as an important feature of socioeconomic insecurity in contemporary Europe. The following study asks: How do labor market institutions and labor market conditions shape work precarity in Europe? This research captures the elusive concept of precarious work by measuring the degree to which a job (1) is insecure and uncertain, (2) offers poor prospects of career mobility, and (3) puts workers in an economically insecure position with low pay. Building on two theoretical paradigms, the Varieties of Capitalism and the Power Resource Theory, this study derives and tests hypotheses about how macro-level factors shape the variation in the distribution of precarious work in 32 European countries. Combining individual-level data from the 2010 European Working Conditions Survey with country-level data from multiple sources, my findings suggest that work precarity decreases in countries with high percentages of employees in all enterprises receiving continual training, high percentages of all enterprises providing on-the-job training for employees, and high levels of spending on active labor market policies.

Social movement scholars have increasingly drawn attention to the process of “bridge building” in social movements – that is, the process by which activists attempt to resolve conflicts stemming from different collective identities. However, most scholars assume that social movements primarily attempt to resolve tensions among activists themselves, and thus that bridge building is a means to other ends rather than a primary goal of social movement activism. In this chapter, I challenge these assumptions through a case study of a “bridging organization” known as Bridge Builders, which sought as its primary goal to “bridge the gap between the LGBT and Christian communities” at a Christian university in Nashville, Tennessee. I highlight the mechanisms by which Bridge Builders attempted to facilitate bridge building at the university, and I argue that Bridge Builders succeeded in bridging (a) disparate institutional identities at their university, (b) “structural holes” between LGBT- and religious-identified groups at their university, and (c) oppositional personal identities among organizational members. As I discuss in the conclusion, the case of Bridge Builders has implications for literatures on bridge building in social movements, cultural and biographical consequences of social movements, and social movement strategy.

This study aims to provide a systematic review of the existing literature on the applications of deep learning (DL) in hospitality, tourism and travel as well as an agenda for future research.

Covering a five-year time span (2017–2021), this study systematically reviews journal articles archived in four academic databases: Emerald Insight, Springer, Wiley Online Library and ScienceDirect. All 159 articles reviewed were characterised using six attributes: publisher, year of publication, country studied, type of value created, application area and future suggestions (and/or limitations).

Five application areas and six challenge areas are identified, which characterise the application of DL in hospitality, tourism and travel. In addition, it is observed that DL is mainly used to develop novel models that are creating business value by forecasting (or projecting) some parameter(s) and promoting better offerings to tourists.

Although a few prior papers have provided a literature review of artificial intelligence in tourism and hospitality, none have drilled-down to the specific area of DL applications within the context of hospitality, tourism and travel.

To the best of the authors’ knowledge, this paper represents the first theoretical review of academic research on DL applications in hospitality, tourism and travel. An integrated framework is proposed to expose future research trajectories wherein scholars can contribute significant value. The exploration of the DL literature has significant implications for industry and practice, given that this, as far as the authors know, is the first systematic review of existing literature in this research area.

The purpose of this paper is to provide the theoretical insights with regard to the green purchasing intention–behavior gap and the role played by social media influences in abating this gap. This paper takes into consideration a wider aspect with regard to the antecedents of behavioral intention through personal and social identities in place of the antecedents presented in the theory of planned behavior and social-identity theory. Furthermore, as the theories lack an explanation of how to reduce the intention–behavior gap, this paper also argues the source credibility model (SCM) in explaining the impact that social media influences can have on the behavioral gap.

Hypothetical deductive method is proposed for this concept paper under the positivism research paradigm.

Not applicable as this is a concept paper. However, the paper discusses the theoretical and managerial implications.

This is a concept paper. Yes this paper discusses the theoretical, managerial, and social/ecological implications.

This paper highlights the relevance of consumers' personal and social identities when consumers make purchasing decisions regarding green products. How managers can make marketing strategies, based on credibility model, involving social media influences as product endorsers and ambassadors, as well as the policy makers to design products, earmark consumer behavior and to conduct marketing campaigns in time to come.

As to how policies can be designed and adopted for bio-based economies where sustainability and circularity are given priority and to increase the attention of businesses moving toward sustainable practices.

Original thought developed based on research, theoretical and market gaps.

Positing that human capital resources of marketers comprise both psychological capital (PsyCap) and marketing capital (MarCap), and that PsyCap in combination with MarCap will have a synergistic effect on marketers’ job performance, the purpose of this paper is to investigate the configurational roles of PsyCap and MarCap in marketers’ job performance.

Using a survey data set collected from 472 marketers in Ho Chi Minh City, Vietnam, the study tested the net effects of PsyCap and MarCap on job performance using structural equation modeling (SEM). Then, the study investigated the configurational roles of PsyCap and MarCap in job performance employing the fuzzy-set qualitative comparative analysis (fsQCA).

SEM results show that two components of PsyCap (efficacy and optimism) and one component of MarCap (organizational MarCap) have positive effects on job performance. fsQCA findings reveal that, except hope, combinations of PsyCap and MarCap components form several sufficient conditions for job performance.

The focus of this study is on marketers, that is, at the individual level. Future research should examine both PsyCap and MarCap at a higher level, such as the team, unit, or firm level.

The study’s findings suggest that firms should pay attention not only to the net effect but also to the configuration of PsyCap and MarCap when designing and implementing their human resource strategies and policies.

This study contributes to the literature on human capital resources by confirming the configurational roles of PsyCap and MarCap in marketers’ job performance.

The aim of this study is to examine the influence of locus of control, the university environment and the social environment on the entrepreneurial attitude of female Latin American university students.

The study applies a quan–qual design. The quan section analyzes the data of 10,781 female university students from 11 Latin American countries included in the Global University Entrepreneurial Spirit Students Survey 2018. A hierarchical multiple regression analysis was applied. The qual section applies in-depth interviews for sequential methodological triangulation analysis.

The evidence indicates that locus of control, the university environment and the social environment positively impact the entrepreneurial attitude of female Latin American university students. The most influential factor was locus of control.

This empirical study focuses on female university students and their propensity for business venturing and determines the main influences on their entrepreneurial attitudes.

Este estudio tiene como objetivo examinar la influencia del locus de control, el entorno universitario y el entorno social en la actitud emprendedora de las estudiantes universitarias latinoamericanas.

El estudio aplica un diseño quan–qual. La sección quan analiza los datos de 10.781 estudiantes universitarias latinoamericanas de once países, incluidas en la Encuesta Global University Entrepreneurial Spirit Students Survey 2018. Se aplicó un análisis de regresión jerárquica múltiple. La sección cualitativa aplica entrevistas en profundidad para un análisis de triangulación metodológica secuencial.

La evidencia indica que el locus de control, el entorno universitario y el entorno social impactan positivamente en la actitud emprendedora de las estudiantes universitarias latinoamericanas. El factor más influyente fue el locus de control.

Este estudio empírico se centra en las estudiantes universitarias y su propensión a emprender y determina las principales influencias de su actitud emprendedora.

Este estudo tem como objetivo examinar a influência do locus de controle, ambiente universitário e ambiente social na atitude empreendedora de estudantes universitárias latino-americanas.

O estudo aplica um desenho Quan-qual. A seção Quan analisa os dados de 10.781 universitárias latino-americanas de onze países, incluídas na Pesquisa GUESSS, 2018. Foi aplicada uma análise de regressão múltipla hierárquica. A seção qual aplica entrevistas em profundidade para uma análise de triangulação metodológica sequencial.

As evidências indicam que o locus de controle, o ambiente universitário e o ambiente social impactam positivamente a atitude empreendedora das universitárias latino-americanas. O fator mais influente foi um locus de controle.

Este estudo empírico centra-se nas estudantes universitárias e na sua propensão para um empreendimento empresarial e determina as principais influências da sua atitude empreendedora.