The asymmetric response of travel demand to twitter-based uncertainty: A global empirical assessment

This paper examines the impact of two new Twitter-based uncertainty metrics on global travel demand, using linear and non-linear methods with daily data for the period 15 December 2020 and 20 March 2022. According to the linear results, an increase (decrease) in Twitter-based uncertainty affects travel demand negatively (positively). However, nonlinear estimations show that the relationship is asymmetrical, not symmetrical. Accordingly, travel demand is responding to the Twitter-based increase in uncertainty but is unaffected by reductions in uncertainty. Finally, it is pointed out that there may be asymmetries between tourism and uncertainty for future research.

Employees' perception of robots and robot-induced unemployment in hospitality industry under COVID-19 pandemic.

The impact of the pandemic is driving the recent upsurge in service automation and the adoption of service robots in the hospitality industry. As service paradigm and customer expectations shift from conventional customized and personalized services towards a digitalized service environment, such customer orientation may favor using service robots at scales that could render service employees redundant. This study aims to answer the above question by investigating service employees' perceptions of service robots. Data solicited from 405 service employees in the United States of America via Amazon's MTurk were analyzed using structural equation modeling. The result revealed that employees' awareness of adopting and using service robots significantly impacts their perception of robot-induced unemployment. Further, results indicated that the perception of robots' social skills significantly influences service employees' perception of robot-induced unemployment. Employee status was found to moderate the relationships mentioned above. Specifically, entry-level employees perceive the unemployment risk more than managers.

Guest editorial

Mura and Sharif (2017) conducted a systematic literature review and used a qualitative narrative analysis approach to identify all empirical and non-empirical evidence that fits the pre-specified inclusion criteria to answer a particular research question or questions or to test their proposition(s) about the hospitality and tourism industry. 2.2 Phenomenological research design in hospitality and tourism studies Phenomenological research explains the “common meaning” of a concept of a phenomenon coming from many individuals with their own lived experiences (Creswell and Poth, 2016). (2021) also used a phenomenological approach to conceptualize consumers’ lifestyles and hotel experience to develop a scale with which to measure these two critical aspects of the field of hospitality and the tourism industry. Wijesinghe (2009) described the possible applications of expressive phenomenological design in hospitality and tourism studies to gain the real-life experiences of different stakeholders in the discipline of hospitality and tourism. 2.3 Participatory action research design in hospitality and tourism studies In the qualitative paradigm, Participatory Action Research is a study design in which researchers and participants collaboratively conduct research to drive particular changes that improve existing practices. (2019) used Participatory Action Research in their empirical study that proposed a six-dimensional framework for implementing internal branding in the hospitality and tourism industry. 2.4 Ethnography/netnography research design in hospitality and tourism studies Ethnography is the study of shared patterns of the behaviors, beliefs and languages of an entire culture-sharing group (Creswell and Poth, 2016), whereas, netnography is a portmanteau of “internet” and “ethnography” and is online cultural research commonly done in social-media groups or the sites where people of a specific community or group share their views, experiences, etc.