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This study aims to investigate patterns in international travel behavior of scientific staff depending on the categories of gender, scientific field and scientific seniority level. The learning from salient differences possibly revealed may inform measures for reducing travel greenhouse gas (GHG) emissions, especially for high-emitting staff groups, and help strengthen the equality between scientists of different categories concerning their travel behavior.

The study collected and used novel empirical data on travel GHG emissions from University of Graz scientific staff for five consecutive years (2015–2019) and used statistical analysis and inference to test and answer three distinct research questions on patterns of travel behavior.

The travel footprint of scientific staff, in terms of annual GHG emissions per scientist, exhibits various highly significant differences across scientific fields, seniority and gender, such as male senior natural scientists showing ten times higher per-person emissions than female junior social scientists.

The five-year travel GHG emissions data set across all fields from natural sciences via social sciences to humanities at a large university (Uni Graz, Austria, about 2,000 scientific staff) and across seniority levels from predocs to professors, both for female and male scientists, enabled a robust empirical study revealing distinct differences in travel GHG footprints of academic staff. In this way, the study adds valuable insights for higher research institutions toward effective GHG reduction policies.

This study examines handmade clothing consumption as a means of self-expression by exploring the interrelationships between consumers' self-expression, brand love and word of mouth.

Using a descriptive research design, data were collected from 295 respondents in South Africa who posted about fashion on social media and who had bought handmade clothing in the 6 months prior to data collection. Structural equation modelling was used to examine the interrelationships between consumers' self-expression, brand love and word of mouth.

Brand love intervenes between consumers' self-brand connections and word of mouth about handmade clothing. More specifically, brand love strengthens positive word of mouth online and mitigates negative word-of-mouth intentions following a handmade clothing product failure scenario.

The study enlightens scholarly understanding of consumers' self-expression motivations for using ready-made handmade clothing that results in brand love and positive word of mouth.

Handmade clothing marketers who tap into consumers' self-expression and who can establish brand love among consumers can similarly create beneficial consumer–brand relationships.

Consumers often use handmade clothing for the purpose of self-expression, which provides subsequent spin-offs for brands in the form of brand love and positive word of mouth. Objective self-awareness theory provides a parsimonious lens to reveal the important role that brand love plays as a mechanism to explain the linkage of consumers' self-brand connections to word of mouth about handmade clothing.

The purpose of this study was to investigate trust within human-AI teams. Trust is an essential mechanism for team success and effective human-AI collaboration.

In an online experiment, the authors investigated whether trust perceptions and behaviours are different when introducing a new AI teammate than when introducing a new human teammate. A between-subjects design was used. A total of 127 subjects were presented with a hypothetical team scenario and randomly assigned to one of two conditions: new AI or new human teammate.

As expected, perceived trustworthiness of the new team member and affective interpersonal trust were lower for an AI teammate than for a human teammate. No differences were found in cognitive interpersonal trust and trust behaviours. The findings suggest that humans can rationally trust an AI teammate when its competence and reliability are presumed, but the emotional aspect seems to be more difficult to develop.

This study contributes to human–AI teamwork research by connecting trust research in human-only teams with trust insights in human–AI collaborations through an integration of the existing literature on teamwork and on trust in intelligent technologies with the first empirical findings on trust towards AI teammates.

Personality profiling in today’s business world has become an essential organisational development practice targeted at identifying a set of employees' traits, which differentiate an employee from one another. Given the assumption that personality traits form an essential indicator of developing the potential of an individual workforce, possible to establish how employees function in a certain job role and their suitability for the particular tasks in an organisation. This study aims to explore the relationship between personality traits, assessment centres (ACs) quality and management development in Nigeria telecommunication organisation among its managers.

The study employed multi-stage sampling techniques and further stratified the hierarchy of the management and finally used a simple random sampling strategy on each stratum. A combination of 482 managers in Nigerian telecommunication organisations participated in this study. The study investigated 12 hypotheses and 1 mediating postulation. Multiple scales were adapted to measure dimensions of endogenous and exogenous variables along the path of mediating variables of the study. The study employed a cross-sectional survey approach to administering the research instrument across all the departments among the managers of the organisations. A structural equation model of assessment was used to analyse the data collected from managers of the telecoms organisations.

The outcome of the study was significant, 10 of the postulated hypotheses were found to be significant while 3 were not significant. The study revealed that a combination of openness to experience, conscientiousness, neuroticism, agreeableness and extraversion personality have no significant relationship with the AC. Also, employees who are high in neuroticism like being emotionally unstable did not find a significant relationship with the AC. In a similar situation, the combined effect of all the big-five personalities was not significant in management development among the managers of the telecommunication industry. The AC is discovered to mediate between personality traits and management development. Individually, the big-five model finds a significant relationship with AC and management development, respectively.

The study is restricted to managers of the Nigerian telecoms industry alone and not all the entire workforce. It adopted cross-sectional analysis to make an inference on all the managers of the organisations. The implication is that the period of the view of a particular point in a sequence of the event may not be representative. Another implication is that the results from the cross-sectional design are for the relationship, and they do not indicate causation.

In practice, this study has shown that personality profiling is important to managing organisational behaviour to highlight a set of traits of employees suitable for peculiar roles. This study implies that personality elements constitute a vital signal of the potential development of the workforce. It helps to illuminate an individual functioning style in a certain task situation, therefore determining both professional and managerial suitability in performing a given role.

This paper aims to examine the antagonistic coexistence of different tourism imaginaries in global post-viral social landscapes. Such antagonisms may be resolved at the expense of the ethics of tourism mobility, if not adjudicated by post-human reflexivity. Currently, unreflexive behaviours involve the refusal to conform to lifesaving “stay-at-home” policies, the tendency to book holidays and the public inspection of death zones.

Each of the consumption styles explored in this paper to discuss post-COVID-19 tourism recovery corresponds to at least one tourist imaginary, antagonistically placed against social imaginaries of moral betterment, solidarity, scientific advancement, national security and labour equality. A multi-modal collection of audio-visual and textual data, gathered through social media and the digital press, is categorised and analysed via critical discourse analysis.

Data in the public domain suggest a split between pessimistic and optimistic attitudes that forge different tourism futures. These attitudes inform different imaginaries with different temporal orientations and consumption styles.

COVID-has exposed the limits of the capacity to efficiently address threats to both human and environmental ecosystems. As once popular tourist locales/destinations are turned by COVID-2019s spread into risk zones with morbid biographical records their identities alter and their imaginaries of suffering become anthropocentric.

Using Castoriadis’ differentiation between social and radical imaginaries, Foucault’s biopolitical analysis, Sorokin’s work on mentalities and Sorel’s reflections on violence, the author argue that this paper has entered a new phase in the governance and experience of tourism, which subsumes the idealistic basis of tourist imaginaries as cosmopolitan representational frameworks under the techno-cultural imperatives of risk, individualistic growth through the adventure (“edgework”) and heritage preservation. This paper also needs to reconsider the contribution of technology (not technocracy) to sustainable post-COVID-19 scenarios of tourism recovery.