PurposeThe alternative arrangements to traditional employment have become a promising area in the gig economy with the technological advancements dominating every work. The purpose of this paper is to explore the barriers to the entry of gig workers in gig platforms pertaining to the food delivery sector. It proposes a framework using interpretive structural modelling (ISM) for which systematic literature review is done to extract the variables. This analysis helps to examine the relationship between the entry barriers to gig platforms. The study further proposes strategies to reduce the entry barriers in gig sector which would help to enhance productivity and generate employment opportunities.Design/methodology/approachThe study uses interpretive structural model (ISM) to ascertain the relationship between various entry barriers of the gig workers to the gig platforms. It also validates the relationship and understand the reasons of their association along with MICMAC analysis. The model was designed by consulting the gig workers and the experts allied to food delivery gig platforms namely Zomato and Swiggy.FindingsIt was observed that high competition, longer login hours and late-night deliveries are the significant barriers with high driving power and low dependence power. Poor payment structures and strict terms and conditions for receiving the incentives are interdependent on each other and have moderate driving and dependence power. The expenses borne by the gig workers, such as Internet, fuel and vehicle maintenance expenses have high dependence power and low driving power. Hence, they are relatively less significant than other barriers.Research limitations/implicationsThe study is confined to food delivery sector of India, without considering other important sectors of gig economy for generalizing the framework. As the study is based on forming an ISM framework through literature review only, it does not consider other research methods for analysing the entry barriers to the gig platforms.Practical implicationsThe study attempts to dig out the low entry barriers for gig workers in food delivery platforms as there is a dearth of analysis of these factors. This study would weave them using ISM framework to help the gig platforms overcome these barriers at various levels, thus adding to the body of literature.Originality/valueThe study discusses the need for understanding relationship between the entry barriers in the form of ISM model to identify the dependent and driving factors of the same.
With a changing demography and social structure, the work life balance (WLB) is a major concern felt by employees of most organizations. This study has attempted to have relook at the constructs of work-life balance from the perspectives of banking and information technology employees with various household structures. The present study develops a multidimensional work-life balance scale to measure existing levels of work-life balance. The scale considers work-life balance as a multidimensional second order construct comprising workplace inclusion, family support, employee benefit, time management, coworker relationship, and supervisor-subordinate relationship. The study reveals not only indicators of organizational family work culture, but also personal characteristics such as time management and familial support determine work-life balance. However, no significant difference was perceived in the work life balance was found between employees with different family structures and between the two sectors considered under the study. Also, there was no significant difference in perception of work life- balance between knowledge workers from IT and banking sectors.
The objective of this chapter is to discuss the changes incorporated in the human resource management strategies post-pandemic situation owing to the COVID-19 pandemic which has instigated disaster across the Indian information technology sector. However, the information technology (IT) industry has been cruising through the situations steadily compared to the other sectors as it has adopted certain innovative human resource (HR) management strategy coupled with technological innovation. The theoretical investigation using the secondary data sources and views of HR professionals clearly reveals that the information technology sector has incorporated strategic changes to restore the balance and control the distortion caused by the COVID-19 pandemic to the industry. More specifically, the diverse HR strategies incorporated by the IT firms in their efforts were focused to combat the economic repercussions caused by the pandemic, keeping in mind the financial strength of the company, employee morale, future business outlook, and employer branding.
Job satisfaction of employee is one of the most important factors when it comes to organization growth. The research on topic “Jobs satisfaction” is being conducted by several researchers and the factors that influence the job satisfaction is researched and reviewed over varied dimensions. One of the recent and contemporary approach is to explore the impact of work from home option (during this COVID-19 pandemic situation) on the job satisfaction of the employees. Due to COVID-19 whole world has already seen unexpected shift of the work place and work force from offices to home in almost all sectors. This also raised many questions around, whether the factors which were influencing the Job satisfaction factors earlier at workplace will hold good for Work from Home (WFH) facility. Main purpose of this study is to find out different influencing factor for employees to get satisfied while working from home. The present study has adopted the descriptive research design to make an analysis of those factors which effects employee’s satisfaction specifically while they are in the work from home option mode. The selected area for the study is Pune City. Both primary and secondary data is used for the study. Questionnaire will be framed for the collection of primary data. The Sampling Size for the study is 120 respondents who are working professionals selected using convenient sampling procedure across the business sectors. Appropriate statistical tools and techniques will be used for data analysis. The result of the study shows that the majority of employee were dissatisfied when they are working from home during the pandemic. There are certain critical factors like constant work pressure, prolonged working hours, very few options for interaction with the colleagues and peers, doing repetitive jobs without any break, and pressure from the domestic end in terms of family expectations and family commitments are causing utmost dissatisfaction when the employees are made to work fromhome.
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