In this paper the concepts of general, target and accessible population are explained in response to misconceptions and controversies associated with them, and the fact that the relationships between them have not been explained in the context of qualitative enquiry in any formal study. These concepts are discussed in this study based on a general scenario. We basically attempt to explain the importance of specifying the general, target and accessible populations in a qualitative study when the study population is large. The study depicts how the research goal, contexts and assumptions can dictate the content and concentration of the target and accessible population in qualitative inquiry. It also poses the sampling implications of our explanations and highlights the stages and levels of what we refer to as population refinement.
Purpose The economy of today has moved toward the fourth industrial revolution (FIR), which is characterized by the adoption of technologies such as cyber-physical systems, internet of things, big data, artificial intelligence and robotics. Globally, there is a lot of awareness created on the influence of the FIR on all industries, including hospitality and tourism. A plethora of studies on FIR have been conducted in the setting of manufacturing industries. Nonetheless, there seems to be in-exhaustive and non-consensual agreement among researchers as to the development and prospects of the FIR for service industries. Therefore, the aim of this paper was to comprehensively review the prospects of the FIR for the hospitality and tourism industry. Design/methodology/approach As a result of the novelty and gaps associated with the FIR in the hospitality literature, the authors explored the concept of FIR using a comprehensive literature review approach. Specifically, this paper reviews existing literature from diverse academic backgrounds, and annotates issues with regard to the evolution and prospects of the FIR for the hospitality industry. Findings Emphatically, the development and principles of FIR were expatiated. Additionally, an exegesis was carried out on the prospects (positives and challenges) of FIR for the hospitality industry. Finally, practical and social implications were also discussed. Originality/value It still remains a discourse among scholars and industry stakeholders as to the prospects of the FIR. This paper clarifies the confusion among researchers and bridges the literature gaps. Moreover, this review serves as a theoretical foundation for future research on the impact of FIR on the hospitality industry.
Purpose This study aims to assess health workers’ level of emotional intelligence (EI) in Accra North and recommend a simple but robust statistical technique for compulsorily validating EI measurement scales. Design/methodology/approach The researchers used a self-reported questionnaire to collect data from 1,049 randomly selected health workers. Two non-nested models, BNK MODEL and CMODEL, were compared to see which of them better fits the study population and yields a better level of EI. The one-sample and independent-samples t-tests, exploratory factor analysis and confirmatory factor analysis were used to present results. Findings The study found that health workers were appreciably emotionally intelligent for both models at the 5 per cent significance level. However, EI was higher for the CMODEL. The CMODEL also better fits the study population (χ2 = 132.2, p = 0.487, Akaike information criterion = 124.932) and thus better underlies EI in it. This study recommends proper validation of the two EI scales evaluated in this study, and possibly other scales, before the use of their data in research, as failure to do so could lead to unrealistic results. Originality/value Apart from its contribution to the literature, this study provides a robust statistical approach for assessing health workers’ EI and validating EI scales. By comparing two models of EI in the validation process, this paper suggests that the researcher’s choice of a measurement scale can influence his/her results.
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