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In the midst of the present uncertain investment scene, it is perhaps appropriate to take stock and ask whether the tools of the investment analyst are still able to assist in investment decisions. This article attempts to highlight a few of the important tools of investment analysis, and to indicate whether or not they still serve their purpose.

The purpose of this paper is to develop an instrument to measure the influence of coronavirus (COVID-19) on international travellers’ behaviour.

Data were collected from 500 respondents in the Kingdom of Saudi Arabia to develop and validate a multi-item scale to measure international travel behaviour post-COVID-19. The initial pool of items was validated by using exploratory factor analysis. The first-order reflective and the assessment of hierarchical factor structure were done through structural equation modelling by using SmartPLS 3.

Findings revealed a hierarchical three-level scale for measuring international traveller’s behaviour. The first level consists of six sub-dimensions of 19 items. These six sub-dimensions can be used as a formative measure of three dimensions of general impact, attitude and preference and cleanliness and safety. These three dimensions form the third level for the meta construct of traveller’s behaviour.

The proposed scale will provide policymakers and managers with an improved understanding of the change in travellers’ behaviour due to the COVID-19 crisis or any future pandemic.

The scale can be used by the tourism and hospitality industry to access the impact of COVID-19 or any other future pandemic on traveller’s behaviour.

Since the outbreak of the novel COVID-19, almost all international travel has come to halt. A diverse measuring instrument to measure traveller’s behaviour is not available in extant literature. To the best of the authors’ knowledge, this study is the first of its kind which has developed and validated a scale for measuring traveller’s behaviour during and post COVID-19.

The purpose of this study is to comprehend the approach and adaptation of research and development (R&D) professionals in managing work and non-work life during Covid-19. Besides, it investigates the influence of organizational culture on extra-role behavior both within and outside the organizational boundaries during uncertainty.

Being an exploratory study, the data were generated through the in-depth personal interview from 23 respondents of the Indian Space Research Organization. Besides, the study also used data from secondary sources. The authors followed thematic analysis for eliciting themes from the text data.

Primarily, it found that the organizational culture may influence employees to perform extra-role behavior within and outside the organizational boundaries during the pandemic. Besides, it found that R&D professionals are adaptive toward the work from home culture.

The qualitative study is based on in-depth interviews of 23 R&D professionals during the Covid-19. Future studies may conduct a larger-scale quantitative study to generalize the findings. Implications for future research on hybrid work culture are discussed.

This study hints that employers need to move from a short-term transactional approach to a long-term cultural approach to navigate extreme uncertainty. It also highlights reorientation of human resource professionals in managing workplace evolution.

The study extends the literature on organizational culture by attributing culture for the extra-role behaviors of R&D professionals beyond the organizational boundary and navigating uncertainty.

This paper investigates one of the potential costs of rising segregation in American cities by evaluating empirically the extent at which ethnic-based segregation contributes to the onset and the speed of propagation of the COVID-19 pandemic.

Regression analysis based on matched data on early incidence of COVID-19 cases, segregation and covariates. Identification resorts on variations in segregation across MSAs and heterogeneity in the geography and timing of stay-at-home orders.

One cross-MSA standard deviation increase in segregation leads to a significant and robust rise of COVID-19 cases of 8.7 per 100,000 residents across urban counties.

Combines spatial data on COVID-19 cases and segregation; use of a new segregation measure; focus on early incidence of the pandemic and its drivers.

Examines non‐linear adaptation to change in the high‐technology environment of the computer industry. These environments are defined, and the efficacy of different organizational adaptations is assessed with respect to these environments. Results from our analyses show that there is a direct and causal relationship between the employment of non‐linear organizational archetypes and organizational effectiveness within high‐technology industries.

In an earlier study reported in the Journal of Educational Administration (17, 1, May 1979), Dufty and Williams analysed decision‐making procedures and managerial styles of Heads of Departments (HODs) at WAIT, now Curtin University, and compared their findings with an earlier study by Dufty of business managers. Of the two groups, the former were found to be more likely to use participatory and power‐sharing procedures than the latter. However, a decade on, the present paper analyses the same two aspects of leader behaviour in a broader sample of HODs in professional and business organisations. In contrast with the Dufty and Williams study, evidence is presented to show a high level of commonality (and a low rating of basic differences) between professional and business leaders. It is proposed that leaders in both kinds of organisations tend to reveal more people‐related styles and preferences for participative procedures in decision‐making in their leadership of their people at work.

Dispersed multinational teams include people from multiple nations, some of whom are not collocated. In a knowledge economy, such teams must locate, store, allocate, and retrieve knowledge. Three central questions are: (a) How can dispersed multinational teams manage knowledge resource flows? (b) What factors influence knowledge resource distribution in these teams? and (c) How do dispersed multinational teams evolve over time? This chapter examines knowledge resource sharing in multinational teams through three theoretical lenses: transactive memory theory, collective action theory, and evolutionary theory, and concludes with practical suggestions for managing dispersed multinational teams that are derived from these three theoretical lenses.