• Annals of Occupational and Environmental Medicine
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• v.35
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• pp.43.1-43.12
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• 2023

Background: Gig workers, also known as platform workers, are independent workers who are not employed by any particular company. The number of gig economy workers has rapidly increased worldwide in the past decade. There is a dearth of occupational health studies among gig economy workers. We aimed to investigate the association between exposure to violence and job stress in gig economy workers and depressive symptoms. Methods: A total of 955 individuals (521 gig workers and 434 general workers) participated in this study and variables were measured through self-report questionnaires. Depressive symptoms were evaluated by the Patient Health Questionnaire-9 when the score was greater than or equal to 10 points. The odds ratio with 95% confidence interval was calculated using multivariable logistic regression adjusted for age, sex, working hours, education level, exposure to violence and job stress. Results: 19% of gig economy workers reported depressive symptoms, while only 11% of general workers reported the depressive symptoms. In association to depressive symptoms among gig economy workers, the mainly result of odds ratios for depressive symptoms were as follows: 1.81 for workers type, 3.53 for humiliating treatment, 2.65 for sexual harassment, 3.55 for less than three meals per day, 3.69 for feeling too tired to do housework after leaving work. Conclusions: Gig economic workers are exposed to violence and job stress in the workplace more than general workers, and the proportion of workers reporting depressive symptoms is also high. These factors are associated to depressive symptoms. Furthermore, the gig workers associated between depressive symptoms and exposure to violence, job stress.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.189-200
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• 2022

The gig economy offers many advantages, such as flexibility, variety, independence, and lower cost. However, there are also safety concerns, lack of regulations, uncertainty, and unsatisfactory services, causing people to voice their opinion on social media. This paper aims to explore the sentiments of consumers concerning gig economy services (Grab, Foodpanda and Airbnb) through the analysis of social media. First, Vader Lexicon was used to classify the comments into positive, negative, and neutral sentiments. Then, the comments were further classified into three machine learning algorithms: Support Vector Machine, Light Gradient Boosted Machine, and Logistic Regression. Results suggested that gig economy services in Malaysia received more positive sentiments (52%) than negative sentiments (19%) and neutral sentiments (29%). Based on the three algorithms used in this research, LGBM has been the best model with the highest accuracy of 85%, while SVM has 84% and LR 82%. The results of this study proved the power of text mining and sentiment analysis in extracting business value and providing insight to businesses. Additionally, it aids gig managers and service providers in understanding clients' sentiments about their goods and services and making necessary adjustments to optimize satisfaction.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.141-154
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• 2018

As the sharing economic market grows, the subject of sharing is expanding to intangible resources such as time, experience, and expertise. The phenomenon that an individual temporarily participates in the platform by utilizing own intangible resources is defined as a 'gig economy'. The gig economy has a positive expectation that can create new jobs, but also has negative warnings that it is only a temporary job based on low wages. The gig economy market is growing rapidly in Korea, however there are very few academic discussions. This study examines the experiences of resource providers in the Korean gig economic platform, and then explores future job changes based on the perception of resource providers. This study selected the subject of research as a talent sharing platform and conducted in-depth interviews with 16 resource providers. The results of the research were presented through content analysis, and their experiences and perceptions were classified into six themes. This study implies academic and practical significance in exploring in depth the overall experience of resource suppliers and in suggesting proposals for desirable successful market growth.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.201-208
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• 2023

The coronavirus (COVID-19) pandemic poses disastrous effects on human lives and hinders global efforts to realize the Sustainable Development Goals (SDGs) by 2030. The study examined the effects of the pandemic on unemployment toward realizing the SDGs. The downsizing and collapse of businesses have forcibly left many unfortunate Malaysians jobless and without income. The situation may directly influence government efforts to achieve SDG 8 'Decent work and economic growth', which indirectly affects SDG 1 'No poverty', SDG 2 'Zero hunger', and SDG 3 'Good health and well-being'. Pre-and post-pandemic assessments on unemployment and retrenchment level by sector were performed by adopting observation and data comparison methods. Critical findings revealed that the unemployment rate has risen among males and females and the youth, as well as the number of retrenchments. The services sector, specifically the wholesale, retail, trade, and hotel industry showed the highest number of retrenchments. Some important unemployment issues were also covered in this study, including the demand for employment, the role of government and business, and the effect of the gig economy on the current employment landscape. The avenue for future studies can focus on additional societal effects that could prevent the country from attaining the SDGs by 2030.

• The Journal of Information Systems
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• v.31 no.2
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• pp.111-136
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• 2022

Purpose The purpose of this study is to examine the effect that insecurity and autonomy of platform work have an influence on work-life balance and psychological well-being in an era of platform economy based on two characteristics of online platform work and self-determination theory. Design/methodology/approach This study suggested the structural equation model integrating two antecedents, insecurity and autonomy, work-life balance, and psychological well-being and proposed five hypotheses driven from the research model. A total of 334 valid samples were collected from platform workers by employing questionnaire including 24 question items of four constructs. Findings Three hypotheses were supported and one hypothesis was not supported at the significance level of 0.05. Insecurity of platform work has a negative influence on work-life balance at the significance level of 0.01, whereas insecurity of platform work has no a significant influence on psychological well-being. Autonomy of platform work has a positive influence on both work-life balance and psychological well-being at the significance level of 0.01. Work-life balance has a positive impact on psychological well-being at the significance level of 0.001. Insecurity have an influence on psychological well-being indirectly through mediation of work-life balance. Implications for academicians and practitioners were suggested.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.133-141
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• 2021

Recently, the number of seniors who engage in social and economic activities through digital platforms is increasing. Through this, they are building new social networks or creating profits. Therefore, this study aimed to conduct an in-depth interview with 17 seniors who are engaged in social and economic activities on a digital platform. This study examined their motivation and experience in detail through in-depth interviews. As a result of the study, three subjects (motivation for participation, evaluation and performance of activities, and requirements for stable activities) were derived. The results of this study are predicted to contribute to preventing social isolation of seniors by mediating digital platforms in the future and inducing them to become subjects of the digital economy.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.131-134
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• 2020

최근 '코로나 19 (COVID-19)'와 '최저임금 이슈' 등 다양한 외적 요인들이 아르바이트를 포함한 고용시장을 변화시키고 있다. 생계와 학자금을 위해 아르바이트에 뛰어드는 청년들에게는 악재의 연속이다. 이처럼 외부 환경은 점점 구직자에게 불리하게 작용하는데 반해, 이들을 사용자로 둔 구인구직 플랫폼은 수년 째 변화의 모습을 보이지 않는다. 기존 플랫폼은 구인자에게 지나치게 유리한 소통구조를 지니고 있으며, 최근 고용시장의 변화에 따른 단기 및 대타 고용의 수요를 충족시키지 못한다. 따라서 본 논문에서는 기존 구인구직 플랫폼의 문제점을 지적함과 동시에 플랫폼이 사용자의 편의를 충족시키기 위해 지녀야 할 고용의 역방향성과 데이터베이스 기반 필터링 및 추천과 같은 핵심 기능들에 대해 자세히 밝히고자 한다. 이를 통해, 사회적 트렌드인 긱 경제를 활성화시킬 뿐만 아니라 구직자 다수를 차지하는 청년들의 구직부담을 완화시킬 수 있을 것이라 기대한다.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.79-85
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• 2021

After COVID-19, the number of individuals participating in delivery platforms has increased. They are using the participation of the delivery platform as a means of creating a new source of income as well as a means of sports and hobbies. This phenomenon is related to a social phenomenon called 'N-jober'. However, there are still few studies examining this phenomenon. Therefore, this study intends to examine the phenomenon of individual participation in delivery platforms and their issues. Text mining was performed on news data from January 2019, when COVID-19 started. As a result, social issues related to the increase in individual participation in delivery platforms were derived into 5 topics(Introduction to the Phenomenon, Characteristics of Participants, Participant's Income and Fees, Characteristics as a Job, Concern about Potential Risks). This study has significance in that it expanded the perspective of academic discussion on delivery platform business to individual participants.