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This paper considers efficient venture capital investment duration for different types of entrepreneurial firms so that on exit information asymmetries between the venture capitalist (as seller) and the new owners of the investment are minimized, and capital gains maximized. We hypothesize that a number of factors are likely to affect investment duration, and our empirical tests confirm the statistical significance of some of these variables (stage of firm at first investment, capital available to the venture capital industry, whether the exit was preplanned, and whether the exit was made in response to an unsolicited offer). However, the fit between our theoretical model and the data is stronger in the United States than in Canada, offering evidence in support of the view that institutional factors have distorted investment duration in Canada.

The growth in cryptomarkets has reinvigorated the research on illicit drug distribution due to the availability of large-scale data. This data has enabled researchers to ask new and detailed questions about how participants in these markets trust each other enough for the market not to collapse. This question deserves more attention because it has become a taken-for-granted notion that repeated transactions and social categories create trust. Whether online or on the street, economic exchanges under illegality are more uncertain than transactions in the legal economy. This puts higher demands on trust, as there is less information and the stakes are higher. In this chapter, the author presents definitions, typologies, and disciplinary contributions to the study of trust and examine how it has been operationalised in a sample of 13 peer-reviewed articles. These articles focus on three dimensions of trust: process-based trust that derives from repeated transactions with known partners; character-based trust measured by the networked reputation scores; and institutional-based trust in the platform and its administrators. In practice, the trust bases are intertwined. Drawing on the broader social science literature on trust, a mesolevel operationalisation that centres on networked reputation scores as embedded in processes and institutions can draw the research together in a multidisciplinary framework.

Special purpose acquisition companies (SPACs) are created by a group of specialists to pool funds for financing future acquisitions within a specified time limit. SPACs are basically “shell” companies with no operations and business, assets or liabilities but they acquire the status of public corporations through initial public offerings (IPOs). The SPAC founders use the IPO funds to acquire a potential target. They are generally found to be successful to close an mergers & acquisitions (M&A) deal but they may not bother to ensure perpetual success of the acquired entity for a long time. In many countries, “shell” companies are characterized as the “bad boys” of the corporate world but they can be used for long-lasting successful M&As due to their inherent strengths, if they play the role of protagonists and “good guys” as SPACs. This chapter examines how SPACs can be used as special vehicles to ensure worthy and successful acquisitions to create sustainable corporations.

Introduction: Lending is an age-old concept, and Peer-to-Peer (P2P) lending is not new. The reduction in the issuing of loans by banks has made people switch from traditional to online mode. The introduction of the online P2P lending industry is in its nascent stage of growth. As this industry is relatively new, understanding user experience, sentiments, and emotions would be helpful for the industry to innovate as per customer requirements.

Purpose: To explore the patterns in the sentiments expressed by users of ‘Cashkumar’ based on Google reviews.

Methodology: Sentiments have been analysed using user experience in risk, cost, ease of use, and loan processing time. Python application was used for sentiment analysis of Google reviews.

Findings: The sentiment analysis results showed that the average sentiment score was 0.7144, which indicates that the user sentiment towards ‘Cashkumar’ is positive. The reviews reflect that the users, especially borrowers were satisfied with the platform’s services and happy with loan processing time. The other factors – ease of use, cost, and risk – were not given much importance by users. Both lenders and borrowers faced a few issues, but the results of the lender’s sentiment analysis could not be generalised due to a smaller number of posted reviews.

Cryptomarkets have expanded rapidly since the launch of Silk Road in 2011, offering a significant new mode for the sale and distribution of illicit drugs. One of the key questions accompanying the proliferation of cryptomarkets and online drug distribution concerns how these unique online fora alter relationships between drug suppliers and their customers. Existing research points to an increase in perceptions of safety and respect among people who use cryptomarkets to purchase drugs relative to other ‘offline’ modes of drug acquisition. There is a growing body of evidence that suggests that drug suppliers are also attracted to cryptomarkets by perceptions of increased safety, as well as by market norms and institutional processes that are characterised by respect and courteous engagement. These issues fall broadly under what has been termed market ‘gentrification’ – that is, the substitution of offline drug market norms, which are sometimes characterised by violence, intimidation, suspicion, and exploitation, with relative feelings of safety, respect, and courtesy. This chapter explores the ‘gentrification hypothesis’ and examines how the unique structural characteristics of cryptomarkets, which include user feedback and ratings, dispute resolution systems, and administrator and community ‘policing’ of cryptomarkets, as well as online discussion forums, assist in fostering the development of pro-social norms that appear to be prevalent on cryptomarkets.

Purpose – This chapter examines the complex, multilevel barriers low-income women of color in a medium-sized Midwestern city face when trying to achieve economic self-sufficiency and homeownership. The aim of this study was to determine whether women attempting to achieve self-sufficiency and/or homeownership face different barriers than men as a result of multiple and intersecting social locations.

Design/methodology/approach – The study sample includes 24 low-income women of color, all of whom participated in in-depth interviews in Fall, 2008. Low-income women also completed short demographic surveys. Intersectionality represents the conceptual framework for this study, and data analysis followed phenomenological inquiry.

Findings – Some barriers low-income women of color face are unacknowledged and are gendered and racialized. Many women in this study faced personal barriers (e.g., low-income, lack of savings, poor credit, lack of mentors) and system-level barriers (e.g., banking account requirements and lenders’ downpayment requirements) to obtain economic self-sufficiency and/or homeownership simultaneously.

Research limitations – This study only examined 25 women's experiences in one location. These findings can only be generalized to low-income women of color in this study.

Originality/value – This study addresses the gaps in existing literature about low-income women's journeys toward economic self-sufficiency, and highlights that many women have goals of homeownership as well. Data analyzed here also illustrated the complex nature of barriers.