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In this chapter, we theorize about online freelancers’ approaches to work flexibility. Drawing from an ongoing digital ethnography of US-based online freelancers pursuing work on digital platforms, our data question the common conceptualizations around the flexibility of online freelancing. We posit that the flexibility of where to work, not when to work, is the most important attribute of their work arrangement. Our data show (1) the online freelancers in our study prefer the stability and sustainability of full-time work over freelancing when both are offered as remote options; (2) full-time remote employment increases these workers’ freelancing control / flexibility; (3) these workers keep freelance work options open even as they transition to more permanent full-time work arrangements. We discuss how these findings relate to workplace culture shifts and what this means for contemporary working arrangements. Our insights contribute to the discourses on knowledge-based gig work and for what it means to study individuals online.

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.

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.

The purpose of this Real Impact Viewpoint Article is to analyze the phenomenon of the Great Resignation from the knowledge management perspective.

It applies the knowledge-based view of the firm to the notion of the Great Resignation, reviews the extant literature and relies on secondary data.

The Great Resignation has created numerous knowledge-related impacts on the individual, organizational and national levels. On the individual level, because of an accelerating adoption of freelancing, the future may witness an expansion of the category of the knowledge worker and a growing need for personal knowledge management methods and information technologies. Organizational effects include knowledge loss, reduced business process efficiency, damaged intra-organizational knowledge flows, lower relational capital, lost informal friendship networks, difficulty attracting the best human capital, undermined knowledge transfer processes and knowledge leakage to competition. Countries may also witness the depletion of national human capital.

Managers should learn how to use the available human capital more efficiently; realize the importance of universal succession planning programs; automate knowledge-centric business processes; facilitate knowledge-based IT initiatives by implementing self-functioning virtual communities, including enterprise social networks; restructure organizations to optimize intra-organizational knowledge flows; adjust strategies, products and target markets based on the available human capital; and create telecommuting conditions for people with disabilities who cannot be physically present. Knowledge management scholars are presented with a unique opportunity to convert the numerous theoretical insights accumulated within the boundaries of their discipline into practical application to facilitate the Great Knowledge Revolution.

This viewpoint offers managerial recommendations and inspires future Great Resignation investigations.

The widening income gap between rich and poor has gained worldwide recognition in recent decades. This income gap between rich and poor is defined as the extent of income unevenly distributed in a host country. This study provides an empirical view of the association between information and communication technology and the widening of the income gap.

The study used panel data from 2005 to 2019. To detect unit root issues, Levin and Lin (LL) and Im, Pesaran and Shin (IPS) tests were first employed. The pooled mean group and mean group estimators were employed to investigate the short and long -term impact of information and communication technology and other control factors on reducing the gap between rich and poor in South Asia.

The results showed that the Pooled mean group's findings are more efficient and consistent as compared to mean group estimators. The results of the paper showed that the greater penetration of information and communication technologies in the economy negatively and significantly affects income inequality. Moreover, the information and communication technology, foreign remittances and foreign direct investment (FDI) significantly reduce the gap between rich and poor in the long run.

At last, the findings of the study serve as an excellent roadmap for policymakers seeking to address the issue of growing income inequality in the South Asian regions and worldwide.

Based on the findings of this study, South Asia can reduce the gap between rich and poor by investing more in the information and communication technology sector.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2021-0638

The purpose of this paper is to answer following question: what is the relationship between member activism performed through civil society organizations (CSOs) and individualized freelance activism (in form of online activism, everyday making, political consumerism or checkbook activism) independent of organizational framework? Is it a relationship of mutual competition or support?

Analysis is carried out on data from 2009 questionnaire-based survey on volunteering, representative for adult Czech population. The data set allowed the authors to relate member activism with freelance activism and in case of member activism distinguish the type of organization and the level of its professionalization.

Dominant pattern the authors identified in data is mutual support of both types of volunteering documented by significant overlap of these forms of public engagement. The most striking is the overlap for active members of new advocacy NGOs and the weakest for traditional clubs. Regression analysis shows that on an individual level “mixed activism” (compared with “pure freelance activism”) is linked with higher education and higher confidence in civic organizations.

The civil practice of individualized freelance activism was described and analysed by various authors as an activity of specific types of activist, but there has not yet been any research giving reflection on such a large scale of freelance activism types as in the analysis. The authors set them together in contrast to the member (collective, organized) form of civic activism and also took into account the influence of professionalization and type of CSOs.

This paper aims to explore workplace learning practices within two types of crowdwork – microwork and online freelancing. Specifically, the paper scopes and compares the use of workplace learning activities (WLAs) and self-regulatory learning (SRL) strategies undertaken by microworkers (MWs) and online freelancers (OFs). We hypothesised that there may be quantitative differences in the use of WLAs and SRL strategies within these two types of crowdwork, because of the underpinning differences in the complexity of tasks and skill requirements.

To test this hypothesis, a questionnaire survey was carried out among crowdworkers from two crowdwork platforms – Figure Eight (microwork) and Upwork (online freelancing). Chi-square test was used to compare WLAs and SRL strategies among OFs and MWs.

Both groups use many WLAs and SRL strategies. Several significant differences were identified between the groups. In particular, moderate and moderately strong associations were uncovered, whereby OFs were more likely to report (i) undertaking free online courses/tutorials and (ii) learning by receiving feedback. In addition, significant but weak or very weak associations were identified, namely, OFs were more likely to learn by (i) collaborating with others, (ii) self-study of literature and (iii) making notes when learning. In contrast, MWs were more likely to write reflective notes on learning after the completion of work tasks, although this association was very weak.

The paper contributes empirical evidence in an under-researched area – workplace learning practices in crowdwork. Crowdwork is increasingly taken up across developed and developing countries. Therefore, it is important to understand the learning potential of this form of work and where the gaps and issues might be. Better understanding of crowdworkers’ learning practices could help platform providers and policymakers to shape the design of crowdwork in ways that could be beneficial to all stakeholders.

The purpose of this paper is to examine the role of online freelance stock analysts in correcting mispricing of hard-to-value firms during sentiment-driven market periods.

The sample covers 23,758 Seeking Alpha articles obtained for the period between January 2005 and September 2011. The authors use OLS regressions to test the stock market reaction around Seeking Alpha analysts’ reports. The information in online analysts’ reports is measured by the tone of stock articles posted in SeekingAlpha.com (SA).

The analysis reveals that the degree of negative tone of their stock articles is related to three-day stock returns around the article posting dates. It further reveals that the relation between these returns and prevailing market sentiment depends on firm-specific susceptibility to the market sentiment. The three-day stock returns are higher during low market sentiment periods for firms that are more susceptible to the market sentiment, hence, harder to value. The tone of the stock articles during low sentiment periods also predicts the news in the forthcoming earnings.

The findings help stock investors identify value-relevant information provided by online freelance stock analysts, particularly for hard-to-value stocks and during the low market sentiment period.

This study utilizes a unique dataset obtained from SA. This is the first paper to examine whether online analysts help investors correct potential undervaluation of hard-to-value firms during the low market sentiment period.

This work examines the intersection between traditional human resource management and the novel employment arrangements of the expanding gig economy. While there is a substantial multidisciplinary literature on the digital platform labor phenomenon, it has been largely centered on the experiences of gig workers. As digital labor platforms continue to grow and specialize, more managers, executives, and human resource practitioners will need to make decisions about whether and how to utilize gig workers. Here the authors explore and interrogate the unique features of human resource management (HRM) activities in the context of digital labor platforms. The authors discuss challenges and opportunities regarding (1) HRM in organizations that outsource labor needs to external labor platforms, (2) HRM functions within digital labor platform firms, and (3) HRM policies and practices for organizations that develop their own spin-off digital labor platform. To foster a more nuanced understanding of work in the gig economy, the authors identify common themes across these contexts, highlight knowledge gaps, offer recommendations for future research, and outline pathways for collecting empirical data on HRM in the gig economy.