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The direct selling model adopted in the beauty and cosmetics industry puts female consumer entrepreneurs at the heart of the business model. A neglected phenomenon in female entrepreneurship, this study aims to focus on female sales agents’ capabilities that are linked to sales performance and examine which capabilities might be shaped and enhanced through coaching and training in an emerging economy context.

Survey data were generated from a sample of 249 female sales agents who agreed to participate in a coaching and training programme run by a focal firm. Data were collected in two phases to investigate the capabilities linked to sales performance pre-intervention and the impact of coaching and training on the relationships between the capabilities and sales performance post-intervention. The time-lag data were analysed using partial least squares structural equation modelling.

For female sales agents, self-efficacy and sales experience have a significant positive effect on adaptive sales performance both before and after the coaching and training intervention. In contrast, intellectual capital and self-motivation had a non-significant relationship with sales performance before the intervention. However, after the intervention, the relationship between these variables became positive and significant.

The study demonstrates the effects of pre- and post-coaching and training on female consumer entrepreneurs’ capabilities and the links to sales performance. These findings add critical empirical knowledge on how female consumer entrepreneurship may be developed and the role of entrepreneurship for female empowerment in the Asian context. Collectively, the findings bring to the fore the female sphere in consumer entrepreneurship research in emerging economies.

This paper aims to investigate the role-play of Protean Career Attitude (PCA) and Career Success (CS) in Affective Organizational Commitment (AOC).

A cross-sectional study on 376 employees from 55 hotels in Malaysia were conducted. The co-variance-based structural equation modeling was employed to analyze the data to test the direct and indirect relationships of PCA and CS with AOC.

The findings reveal that self-directed career attitude (SDCA) has a positive direct influence on AOC as well as indirect influence through the mediation of OCS and SCS. However, the value-driven career attitude (VDCA) neither influences AOC nor the OCS.

This is a first paper to body of knowledge in Asian context which identify mediating role of career success (SCA and OCS) to PCA and AOC. The findings of this research are the workplace learning in hospitality management. The authors argue that hotels should not assume spontaneously PCA with diminishing AOC, but rather hotels' attention is required to identify the most important preferences of these butterfly career attitudes such as OCS and SCS. Most importantly the research negates many negative labels of PCA and adds new perception to the contemporary career literature. Higher education institutions, government, and primary, secondary, and post-secondary education departments can play a significant role in developing PCA dispositions like SDCA and VDCA toward career success. Therefore, further study should examine PCA and their relevance to career outcome like job searching and employability of students in Malaysia. The paper is the first, to one's knowledge, to assess organizational commitment with specific measures of PCA. While the results are simple, they refute many stereotypes of the new career and, in that sense, add an important perspective to the career literature.

This study aims to model the important flow response quantities over a shrinking wedge with the help of response surface methodology (RSM) and an artificial neural network (ANN). An ANN simulation for optimal thermal transport of incompressible viscous fluid under the impact of the magnetic effect (MHD) over a shrinking wedge with sensitivity analysis and optimization with RSM has yet not been investigated. This effort is devoted to filling the gap in existing literature.

A statistical experimental design is a setup with RSM using a central composite design (CCD). This setup involves the combination of values of input parameters such as porosity, shrinking and magnetic effect. The responses of skin friction coefficient and Nusselt number are required against each parameter combination of the experimental design, which is computed by solving the simplified form of the governing equations using bvp4c (a built-in technique in MATLAB). An empirical model for Cf_x and Nu_x using RSM and ANN adopting the Levenberg–Marquardt algorithm based on trained neural networks (LMA-TNN) is attained. The empirical model for skin friction coefficient and Nusselt number using RSM has 99.96% and 99.99% coefficients of determination, respectively.

The values of these matrices show the goodness of fit for these quantities. The authors compared the results obtained from bvp4c, RSM and ANN and found them all to be in good agreement. A sensitivity analysis is performed, which shows that Cf_x as well as Nu_x are most affected by porosity. However, they are least affected by magnetic parameters.

This study aims to simulate ANN and sensitivity analysis for optimal thermal transport of magnetic viscous fluid over shrinking wedge.

The purpose of this study is to examine the drivers and barriers of travel behavior associated with tourist behavior during/post-COVID-19 pandemic to provide a knowledge base as well as an agenda for future research.

The authors utilized the Systematic Literature Review (SLR) technique for searching the articles published in Web of Science (WOS) and Scopus, to identify the main drivers and barriers affecting the tourist behavior during/post-COVID-19 pandemic. Eventually, 47 articles were chosen for the final analysis.

The findings are reported in three sections, (1) quantitative research profile, (2) qualitative synthesis and (3) future agenda. This study addresses the nuanced questions regarding the significant change in tourist travel behavior, emotional dynamics and a detailed understanding of mechanisms, such as which drivers and barriers affect tourist behavior in a particular destination. Drivers and barriers to tourist travel behavior were characterized in personal-related, destination-related, and health-related factors. Moreover, this study provides thought-provoking ideas in theory, policy and practice in the field of tourism and hospitality.

This study has three limitations, as follows. First, the authors searched only two databases, Scopus and Web of Science, due to which the authors might be missing some related studies existing on the other databases. Although these databases provide an extensive range of academic literature, further studies could extend the data collection from the other databases (e.g. via Taylor & Francis). However, our systematic literature review (SLR) coverage is quite extensive, since journals are listed on these three main databases. Second, the authors followed a main study search protocol based on the synonyms and related keywords, however, some of the studies that may be related to the tourist behavior towards the destination are missing on account of the lack of our keywords in there, title, author, keyword and abstract. Furthermore, future research could endeavor to add other keywords to expand the results of studies. Third, although the accurate analysis was conducted to reduce subjectivity in identifying themes for drivers and barriers of tourist behavior, future studies on categorization could work to ensure that other sub-themes categorize.

The recent study has some key practical implications. First, this study is valuable for all the stakeholders in a unique way, including destination managers, academicians and policymakers, because it provides insight into barriers and drivers that influence the development of tourist behavior towards the destination. Second, the current study also offers practical implications for people involved in tourism service industries including governments and private businesses. Policymakers and other leaders are increasingly interested in harnessing the economic potential of tourism. Therefore, identifying the barrier which is inhibiting the tourist traffic towards the destination is beneficial to understand and effectively develop strategies to minimize the effect of such factors. Moreover, drivers and barriers of tourist behavior towards the destination in the COVID-19 pandemic situation towards the destination may help to create a framework for the development of destinations according to the current vulnerable situation. Third, current findings suggest that tourism marketers understand the drivers and barrier constructs found in this study and tailor their marketing strategies for attracting existing and new tourists. For instance, marketers should understand the drivers and barriers of tourist behavior for effective strategy development to increase the positive effect of drivers and to reduce the negative effect of barriers.

This is the first systematic literature review on the impact of drivers and barriers of tourist travel behavior. This paper analyses the methods and approaches that have been used in the previous literature to examine the drivers and barriers of tourist travel behavior. The paper ends with the research implication and limitations of the studies.