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Students have direct access to academic ghost writers who are able to provide for their assessment needs without the student needing to do any of the work. These ghost writers are helping to fuel the international industry of contract cheating, raising ethical dilemmas, but not much is known about the writers, their business or how they operate. This paper aims to explore how the ghost writers market their services and operate, based on observable information.

This paper reviews data from providers actively offering contract cheating services available to the public on Fiverr.com, a low-cost micro outsourcing site. The search term write essay is used to identify providers, finding 103 Gigs from 96 unique providers. Visible information, such as provider marketing, advertised services, pricing information and customer reviews, is analysed.

The results demonstrate that bespoke essays are readily available to students at a low cost. The majority of providers operate from Kenya. Revenue calculations indicate a price point of US$31.73 per 1,000 words, below the cost of traditional essay mills, but show that these 96 providers have generated around US$270,000 of essay writing business between them.

This study affords a look into a complex and established industry whose inner workings are normally kept private and for which little published information currently exists. The research adds to what is known about the extent, location and operation of the contract cheating industry.

The purpose of this paper is to identify the major factors of client satisfaction (CS) that are critical for web development projects in freelance marketplaces. This quantitative study is done from the point of view of the web development services clients. Five major dimensions were proposed as determinants of CS from the literature review: ease of use, user interface, information, security and privacy.

A web-based survey methodology is used as the main data collection instrument. Statistical techniques such as confirmatory factor analysis and multiple linear regressions are used to analyze 162 responses of questionnaires.

The findings suggest that all factors do influence CS. In terms of strength, security had the highest level of impact on CS, so it is the strongest determinant among all factors. After security, ease of use and information are considered as strong determinants. So, this study concludes that the five major determinates do affect CS in web development projects from freelance marketplaces.

This research is limited only to the top freelance marketplaces, such as Upwork, Freelancer, Fiverr, Guru, Envato Studio, etc. The sample size is relatively small and this study is focused on web development projects only. Moreover, this research is focused only on the characteristics or attributes of the projects final outcome, i.e. website.

This study attempts to identify the important factors that have a relation with CS, thus giving freelancers an indication of what to look for when working on any web development project posted by any client in a freelance marketplace. Understanding the determinants of CS will also help Pakistani information technology freelancers involved in web development projects and services to increase their project performance, improve their CS rate and increment client following.

This presents the first study on the determinants of CS in web development projects from freelance marketplaces.

The sudden outbreak of COVID-19 has led in a very short time to a worldwide pandemic that has had severe effects on both businesses and daily lives. In a scenario characterised by the social distancing imperative, the sharing economy found itself struggling to survive, deprived of its core asset, namely, peer (human) relationships. The purpose of this paper is to reveal the coping strategies that have been implemented by sharing economy platforms to navigate the pandemic.

An explorative empirical investigation of 20 sharing economy platforms was carried out during the first lockdown phase (March–June 2020). To drive the analysis, a theoretical framework was developed by merging the literature on the business model and crisis management strategies.

The answers provided by sharing economy platforms to the health crisis caused by the COVID-19 pandemic have been classified into nine typologies of intervention according to the developed framework, with illustrative examples.

This paper provides an empirical investigation into the impact of the COVID-19 pandemic on the sharing economy field and it offers evidence about the immediate reactions of sharing platforms to the health crisis effects. The paper also introduces a framework about business model and crisis management strategies as a conceptual tool that could be adopted by firms from other industries.

eLancing is a networked online platform used for distributive problem-solving, economic production and service delivery. The platform includes websites/marketplaces where individuals interested in being hired, and clients looking for individuals to perform some type of work meet. eLancing boasts millions of users and billions of dollars in transactions, and it involves fundamental changes in the nature of work. The motivations of this research stems from the credo and notion in which the advances in technology are transforming firm and market structures, employee-employer relationship and the increased intimacy with decentralized system. In order to explore new applications for the eLancing model, there must be a better understanding of why individuals participate in eLancing activities. The paper aims to discuss these issues.

In total, 48 semi-structured interviews were conducted online with workers at elance.com.

Ten primary motivators for participation emerged that include following: work-family balance, flexibility and autonomy; economic incentives; skills development; trust and transparency; geographical location; unemployment, equality and disability; higher returns; reputation; passion and enjoyment in problem-solving; and revenge.

The current study has added rich qualitative data to the scanty eLancing literature and managerial implications are discussed.

This chapter will introduce the concept of the gig economy. It begins with a brief discussion of technological changes and their impact on the workforce and labour market, demonstrating how the trend shifts towards the gig economy. It then examines the trends that are influencing this transformation and discusses various perspectives and the attractiveness of the gig economy for workers and businesses. This chapter will also discuss the gig economy, platform economy, digital platform, and gig worker categories. It concludes with a brief discussion of some of the opportunities, issues, and challenges associated with the gig economy.

As conventional practices of working continue to be modified in the gig economy, more theoretical work examining the experiences of gig workers is needed. Relying on person-based fit and levels of analysis literature, this paper proposes an adaptation to the traditional Attraction-Selection-Attrition (ASA) framework to the gig economy.

Drawing on the ASA framework, this conceptual paper explores how gig workers join, leave and could be retained by gig employers.

The authors recognize an intermediary “organizing” phase within the ASA framework for gig workers. Using examples of appwork and crowdwork, the authors show that workers tend to self-organize through third-party websites to help gig work become economically sustainable, avoid being exploited and enhance gig workers' sense of community and identity.

The practical implications of this research lie in gig employers understanding how workers experience gig employment and in helping employers be successful in attracting, selecting and retaining quality workers and thereby lowering permanent attrition.

The authors propose a novel adaptation to the conventional ASA framework to include organizing as a phase in gig worker employment. This research defines gig attraction and attrition at the individual-level, selection at the individual- and task-levels based in person-job (PJ)-fit and the various aspects of gig organizing as encompassing fit with one's job, organization, and environmental (i.e., PJ-, PO-, PE-fit) at the individual-, task-, and network-levels.

The aim of this chapter is to present a comprehensive definition of Global Services that encompasses the wide variety of phenomena currently present in the international trade in services to bring to light the shift we are witnessing from Business Process Outsourcing (BPO), Information Technology Outsourcing (ITO), and Knowledge Process Outsourcing (KPO) models toward end-to-end (E2E) services and to highlight the factors which have had and will have an effect on these processes in the coming years.