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      Travel-Business Stagnation and SME Business Turbulence in the Tourism Sector in the Era of the COVID-19 Pandemic

      , , , , , , ,
      Sustainability
      MDPI AG

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          Abstract

          The COVID-19 pandemic, apart from having an impact on public health, has also caused the stagnation of travel-bureau businesses and the management of small and medium enterprises (SMEs) in the tourism sector. This study aims to analyze the COVID-19 pandemic as a determinant of travel-business stagnation and turbulence in small and medium enterprises (SMEs), the influence of human resources, business development, and product marketing on the productivity of the travel and SME business, the direct and indirect effects of business innovation, economic digitization, and the use of technology on business stability and economic-business sustainability. This study uses an explanatory sequential qualitative–quantitative approach. Data were obtained through observation, in-depth interviews, surveys, and documentation. This study is focused on assessing the efforts made by travel-agency-business actors and SMEs in responding and adapting to changes in the business environment, both internally and externally. Human resources, business development, and product marketing together affect the productivity of travel agents and SMEs with a coefficient of determination of 95.84%. Furthermore, business innovation, economic digitization, and the use of technology simultaneously affect business stability with a coefficient of determination of 63.8%, and business stability affects the sustainability of travel and SMEs with a coefficient of determination of 67.6%. This study recommends a strategy for travel-agency-business sustainability and the stability of SMEs’ economic-business management towards increasing economic growth in the North Toraja Regency, South Sulawesi, Indonesia.

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          Setting the future of digital and social media marketing research: Perspectives and research propositions

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            Job loss and mental health during the COVID-19 lockdown: Evidence from South Africa

            Objectives Existing literature on how employment loss affects depression has struggled to address potential endogeneity bias caused by reverse causality. The COVID-19 pandemic offers a unique natural experiment because the source of unemployment is very likely to be exogenous to the individual. This study assessed the effect of job loss and job furlough on the mental health of individuals in South Africa during the COVID-19 pandemic. Data and methods The data for the study came from the first and second waves of the national survey, the National Income Dynamics-Coronavirus Rapid Mobile Survey (NIDS-CRAM), conducted during May-June and July-August 2020, respectively. The sample for NIDS-CRAM was drawn from an earlier national survey, conducted in 2017, which had collected data on mental health. Questions on depressive symptoms during the lockdown were asked in Wave 2 of NIDS-CRAM, using a 2-question version of the Patient Health Questionnaire (PHQ-2). The PHQ-2 responses (0–6 on the discrete scale) were regrouped into four categories making the ordered logit regression model the most suited for assessing the impact of employment status on depressive symptoms. Results The study revealed that adults who retained paid employment during the COVID-19 lockdown had significantly lower depression scores than adults who lost employment. The benefits of employment also accumulated over time, underscoring the effect of unemployment duration on mental health. The analysis revealed no mental health benefits to being furloughed (on unpaid leave), but paid leave had a strong and significant positive effect on the mental health of adults. Conclusions The economic fallout of the COVID-19 pandemic resulted in unprecedented job losses, which impaired mental wellbeing significantly. Health policy responses to the crisis therefore need to focus on both physical and mental health interventions.
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              Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review

              Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.

                Author and article information

                Contributors
                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                February 2022
                February 19 2022
                : 14
                : 4
                : 2380
                Article
                10.3390/su14042380
                eaa82637-f77b-44e6-968b-7da38b400477
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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