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In the paradox of personalized services and privacy risks, what factors influence users’ decisions is considered an interesting issue worth exploring. The current study aims to empirically explore privacy behavior of social media users by developing a theoretical model based on privacy calculus theory.

Privacy risks, conceptualized as natural risks and integrated risks, were proposed to affect the intention of privacy disclosure and protection. The model was validated through a hybrid approach of structural equation modeling (SEM)-artificial neural network (ANN) to analyze the data collected from 527 effective responses.

The results from the SEM analysis indicated that social interaction and perceived enjoyment were strong determinants of perceived benefits, which in turn played a dominant role in the intention to disclose the privacy in social media. Similarly, trust and privacy invasion experience were significantly related to perceived risks that had the most considerable effect on users’ privacy protection intention. And the following ANN models revealed consistent relationships and rankings with the SEM results.

This study broadened the application perspective of privacy calculus theory to identify both linear and non-linear effects of privacy risks and privacy benefits on users’ intention to disclose or protect their privacy by using a state-of-the-art methodological approach combining SEM and ANN.

Technology 4.0 comes with a challenge to understand the degree of users’ willingness to adopt a digital transformation. Metaverse, being a digital transformation, enables real-world activities in the virtual environment, which attracts organizations to adopt the new fascinating technology. This paper thus explores the uses and gratification factors affecting user adoption and recommendation of metaverse from the management perspective.

The study adopts a mixed approach where structural topic modeling is used to analyze tweets about the metaverse, and the themes uncovered from structural topic modeling were further analyzed through data collection using structural equation modeling.

The analyses revealed that social interaction, escapism, convenient navigability, and telepresence significantly affect adoption intent and recommendation to use metaverse, while the trendiness showed insignificance. In the metaverse, users can embody avatars or digital representations, users can express themselves, communicate nonverbally, and interact with others in a more natural and intuitive manner.

This paper contributes to research as it is the first of its kind to explore the factors affecting adoption intent and recommendation to use metaverse using Uses and Gratification theory in a mixed approach. Moreover, the authors performed a two-step study involving both qualitative and quantitative techniques, giving a new perspective to the metaverse-related study.

The purpose of this study involves analysing the factors of and barriers to innovation and their respective impacts (directly and indirectly) on the competitiveness of both destination and their host companies.

Based on primary data collected by questionnaire from a sample of 119 companies operating in the tourism sector in the autonomous region of Madeira (Portugal), the authors applied a quantitative methodology with recourse to econometric models and multiple linear regression.

Comprehensive results based on a conceptual model are obtained through the analysis of competitiveness tourism-based and innovation factors. The study identifies and empirically tests the existing and underlying relationships between innovation (factors and barriers) as the means of leveraging the competitiveness of destinations and their companies.

The results hold important theoretical and practical implications contributing towards innovation for competitiveness and filling a shortcoming identified in the literature.

Linguists classify the world’s languages into two types: futured and futureless. Futured languages (e.g. French) require speakers to grammatically mark future events, a construction that is optional in futureless languages such as German. This treatise examines whether the grammatical structure of the predominant language in a given country explains firms’ propensity to engage in controversial marketing and environmental management practices. This is expected to happen because a speaker’s future time perspective and temporal discounting vary depending on the type of language used.

The sample period for this research was from 2001 to 2020. The sample of the study consists of 5,275 firms representing 47 countries. The sample is comprised of firms from 29 countries where the predominant language is a strong future time reference (FTR) language and 18 countries with a weak-FTR language. The maximum number of firm-country-year observations of the study was 39,956. This study employed multi-level mixed effects modelling as well as other relevant estimation techniques such as random effect panel regression, ordinary least square regression and two-stage least square regression.

This research empirically demonstrates that firms based in countries where the predominant language requires speakers to grammatically differentiate between the present and the future – known as strong-FTR or futured languages – engage more often in controversial marketing- and environment-related practices than those located in countries where the predominant language does not necessarily require grammatical differentiation between the present and the future (known as weak-FTR or futureless languages).

The findings are important for managers of firms with foreign subsidiary operations: top management teams of such firms need to be aware that their foreign subsidiaries’ propensity to engage in controversial marketing and environmental management practices varies depending on the predominant language those subsidiaries use. Also, firms located in countries with weak-FTR languages need to be more rigorous in their selection process when considering forming a joint venture or acquiring a firm in countries with strong-FTR languages.

The current research enriches the burgeoning body of literature on the effect of language on corporate decision-making. It extends the body of knowledge on the impact of language structure on firms’ inclination to engage in controversial marketing and environmental management practices.