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To examine demographic factors and travel motivations among leisure tourists in Tanzania. Specifically by examining the influence of demographic factors on travel motivation among local and international leisure tourists in Tanzania.

Approach is quantitative and applied descriptive statistics, independent t-test and ANOVA.

The findings showed that age, gender and family size as demographic factors significantly influenced travel motivation among local and international leisure tourists.

Future studies to consider different approaches including collection of data during the peak season, use qualitative method and conduct studies in other parts of the country to explore demographic factors and travel motivations of tourists.

To assist tourism stakeholders in their design of promotional tools to market tourism products/services to different tourists as opposed to homogeneous marketing campaigns.

Examined the influence of demographic factors and travel motivation among local and international leisure tourists in the context of Tanzania.

It has been a tremendous challenge for organisations to navigate and survive the COVID-19 pandemic. This paper proposes a novel multi-level conceptual model, based on the resource-based view (RBV), to address the pandemic crisis and highlight the importance of strategic human resource management (SHRM) in promoting employee motivation and organisational resilience. The paper aims to provide insights and practical guidance for organisations to leverage their internal resources and capabilities to thrive in the post-pandemic landscape.

This paper conducted a comprehensive literature review of the existing research on the impact of the COVID-19 pandemic, SHRM, RBV, job satisfaction, turnover intentions and organisational resilience, covering the main contributors to this research stream and their findings.

The conceptual model presented in this paper offers five testable propositions to examine the impact of the COVID-19 pandemic on employee motivation and organisational resilience and how organisations can navigate challenging times through SHRM, which enables RBV. It highlights the foundational role of RBV and identifies the resources employed by SHRM as intervening constructs that significantly enhance employee outcomes, including motivation, job satisfaction, turnover intention and organisational resilience.

The proposed model counsels that organisations need to look beyond the straightforward application of SHRM and should enable the RBV climate to protect and uphold employee motivation and organisational resilience. Finally, measurement and analysis implications are presented for future research opportunities and managerial interventions to mitigate the impact of difficult times such as the COVID-19 pandemic.

Currently, there is a lack of research regarding the conceptualisation of the COVID-19 pandemic and its impact on employee and organisational resilience. Therefore, the proposed model discusses the significance of the alignment of SHRM and RBV as a moderator of the relationships between the impact of COVID-19 pandemic, employee motivation and organisational resilience.

Structural equation modeling (SEM) has been widely used to examine complex research models in international business and marketing research. While the covariance-based SEM (CB-SEM) approach is dominant, the authors argue that the field’s dynamic nature and the sometimes early stage of theory development more often require a partial least squares SEM (PLS-SEM) approach. The purpose of this paper is to critically review the application of SEM techniques in the field.

The authors searched six journals with an international business (and marketing) focus (Management International Review, Journal of International Business Studies, Journal of International Management, International Marketing Review, Journal of World Business, International Business Review) from 1990 to 2013. The authors reviewed all articles that apply SEM, analyzed their research objectives and methodology choices, and assessed whether the PLS-SEM papers followed the best practices outlined in the past.

Of the articles, 379 utilized CB-SEM and 45 PLS-SEM. The reasons for using PLS-SEM referred largely to sampling and data measurement issues and did not sufficiently build on the procedure’s benefits that stem from its design for predictive and exploratory purposes. Thus, the procedure’s key benefits, which might be fruitful for the theorizing process, are not being fully exploited. Furthermore, authors need to better follow best practices to truly advance theory building.

The authors examined a subset of journals in the field and did not include general management journals that publish international business and marketing-related studies. Fur-thermore, the authors found only limited use of PLS-SEM in the journals the authors considered relevant to the study.

The study contributes to the literature by providing researchers seeking to adopt SEM as an analytical method with practical guidelines for making better choices concerning an appropriate SEM approach. Furthermore, based on a systematic review of current practices in the international business and marketing literature, the authors identify critical challenges in the selection and use of SEM procedures and offer concrete recommendations for better practice.