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Rape culture, described as when “violence is seen as sexy and sexuality as violent” (Buchwald, Fletcher, & Roth, 1993, p. vii), exists online and offline (Henry & Powell, 2014). Much of the research on rape culture focuses on the experiences of heterosexual women, and few studies have explored rape culture in the context of dating apps. This chapter explores how men who have sex with men (MSM) understand and experience rape culture through their use of Grindr and similar dating apps. A thematic analysis of interviews with 25 MSM dating app users revealed problematic user behavior as well as unwanted sexual messages and images as common manifestations of rape culture on dating apps. Participants explained that rape culture extends beyond in-app interactions to in-person encounters, as evident by incidents of sexual violence that several participants had experienced and one participant had committed. Participants were unsure about the extent to which MSM dating apps facilitate rape culture but asserted that some apps enable rape culture more than others. This chapter demonstrates the importance of investigating sexual violence against people of diverse gender and sexual identities to ensure their experiences are not minimized, ignored, or rendered invisible.

This article advances a conceptual typology delineating the differences and similarities between business- and social-sector new venture creators. Our classification scheme differentiates business and social entrepreneurs, considering characteristics of social entrepreneurs in a larger entrepreneurial context.Within a conceptual 2x2 typology based on two dimensions: drive (passion vs. business) and desired return (financial ROI vs. social ROI), we identify and classify 80 examples of new venture creators into one of the quadrants of an enterprise model of entrepreneurs. Preliminary results reveal similarities between social and traditional entrepreneurs and differentiate social entrepreneurs in terms of traits, goals, tendencies, and motivational sources.

The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.

Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).

The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.

Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.

The purpose of this paper is to fill the research and cognitive gap by comparative analyzing of the cluster supply chain (CSC) and supply chains not belonging to the clusters to examine the relational embeddedness as the differentiator of supply chains operating in the clusters.

The conceptual model was tested with data collected from 475 industrial companies cooperating with their partners within supply chains, including 135 CSC. To identify the livraisons between different indicators, the correspondence analysis was applied.

The division of enterprises participating in this study into groups allows for the determination of relatively clear boundaries between enterprises belonging to the cluster and those that do not declare such affiliation. The obtained results confirmed that the relational embeddedness is the differentiator of the CSC collaboration.

The main limitations are referred to as the static character of the data.

The paper contains implications for cluster facilitators, as well as for cluster policy decision makers, to better design support for cluster organizations.

This research is a contribution to the literature on inter-organizational structures, such as clusters and supply chains, and in particular, contributes to the creation of the scientific ground of SCS theory. The research allowed to better understand the nature of collaboration taking into consideration the fact of the relational embeddedness of the companies operating within supply chains located in clusters. It proves the existence of a new type of inter-organizational form that is CSC.