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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.

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.

The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

To manage workers in the gig economy, we must understand the various types of gig workers and how they perform. This chapter focuses on the many types of gig workers and how professional gig workers overlap with knowledge workers in the knowledge economy. The chapter will next go through the distinctions between the gig economy and the talent economy. This chapter will finish by examining the informal economy and its relationship to the gig economy.

Online marketplaces, which provide on-demand goods or services through matching providers and consumers, have emerged in many sectors of the society. This paper aims to assess the need and speculate the design features of a specialized, online marketplace for archival services.

Interview data collected for a previous project were reanalyzed, and the websites of some online marketplaces were explored.

Existing general-purpose online marketplaces are useful but limited. Archivists and closely related professionals, including conservators, genealogists and public historians, need a specialized online marketplace to connect with their clients. This specialized online marketplace for archival services could adopt some useful features of existing online marketplaces.

To the best of the author’s knowledge, this is the first attempt to assess the need for an online marketplace for archival services.

With reduced income and job prospects, many young people are challenged by economic insecurity and struggling to meet their basic needs. In addition, financial stress during the pandemic disrupted many industries, leading to the closure of businesses and downsizing of the workforce. As a result, many Gen Z workers entered their careers during a time in which it was challenging to secure jobs in their desired fields. Despite the circumstances, Gen Zers have clear values related to their professional lives. These include workplace flexibility, financial security, mental well-being, and meaningful work.

This study aims to investigate the impact of a salesperson’s babyface in his/her profile picture on the number of online reviews the salesperson receives. In addition to testing the direct relationship, this study explores the moderating roles of salesperson gender and consumer involvement.

Responding to the call for field-based consumer research, the authors test their theory using an experimental design and a field study. Study 1 employs an experimental design in high and low involvement service settings to test the effect of a babyface on consumers’ intention to write online reviews. Study 2 uses field data, utilising real estate salespeople’s online profile pictures to test the effect of salespeople’s babyface on the number of online reviews they receive. It does so by using an artificial intelligence facial recognition application interface.

A salesperson’s babyface results in fewer online reviews in situations in which consumers are highly involved in the purchase process. By contrast, a salesperson’s babyface engenders more online reviews when consumers purchase low involvement services. The adverse effect of a babyface on the number of online reviews, however, attenuates when a salesperson is female.

Limited information about salespeople, a skewed number of online reviews and blurry online profile pictures from a real-world data set constitute the study’s limitations.

When consumers are highly involved in the purchase process, salespeople should appear mature in their online profile photos to engender more online reviews. However, salespeople providing low involvement services should opt for online profile pictures reflecting babyish facial features to generate more online reviews.

Research has shown that salespeople’s physical appearance plays an important role in consumers’ perceptions of salespeople and their performance. Although abundant research and practice have shown the importance of online reviews, less is known about how online profile pictures affect online reviews. Thus, building on well-studied cases of an overgeneralization effect, this work examines the extent to which salespeople’s babyface features in their online profile picture affects the number of online reviews received in a real-world setting.

Crowdsourcing refers to a new business model in which enterprises or individuals publish tasks or problems, attracting freelancers or contributors to participate in solving tasks, submitting bids and allowing task seekers to choose the final solution. How to attract more quantity and quality of contributors to submit their solutions through a crowdsourcing platform has become a vital question.

In this study, the authors use web crawling to obtain 43,265 effective tasks in EPWK website (www.epwk.com) to probe how to elevate the quantity and quality of contributors via task reward design. This study uses the hierarchical linear model to probe the research questions.

Results show that, with the increase of task reward, the quantity of contributors goes up first and then goes down (inverted U shape), whereas the quality of contributors goes down first and then goes up (U sharp). Moreover, the authors investigate the moderating effects of another task design attribute, task duration. This study finds that task duration weakens the effect of task reward on the quantity of contributors while strengthening the effects of task reward on the quality of contributors.

First, this study theoretically probes two key aspects of task performance, namely, the quantity and quality of contributors, which expand the scope of task performance evaluation. Second, this study reconciles previous concern about the relationship of task reward and performance, which is different from previous studies that have paid more attention to the single perspective of their relationship. Finally, the authors investigate the moderating effects of task duration, which further uncover the mechanism behind task reward and performance, that is, the quantity and quality of task contributors.