Underground Markets as Fields in Transition: Sex Work in New York City

Most ethnographers visualize their fieldwork study vis‐à‐vis their long‐term commitment to a bounded sociospatial context—an “ecology.” In this manner, the majority of ethnographic studies are presented as studies not only of practices but also of recognizable physical ecologies that breathe life into the practices—for example, homes, ghettos, firms, schools, and so on. In the pages that follow, I consider the ways in which the status of place has shifted in urban sex work. The shifting commerce of sexual services in New York enables me to open up a set of methodological issues about the role of space in ethnographic work. One in particular is at the core of this paper: namely, because so many ethnographic labors begin with the selection of a field site, what conceptual issues arise that fieldworkers must pay attention to vis‐à‐vis that decision? For example, the field site may change, the field site may itself be shaped by wider societal forces, and it may be simply dissolve over time. How does any of this impact a technique that is premised on the dependability of “sitting” so that others may be dependably followed? I draw on the notion of “strategic action fields” to present an alternative analytic framework, one more useful for the challenges ethnographers face.     

FPT algorithms for Connected Feedback Vertex Set

We study the recently introduced Connected Feedback Vertex Set (CFVS) problem from the view-point of parameterized algorithms. CFVS is the connected variant of the classical Feedback Vertex Set problem and is defined as follows: given a graph G=(V,E) and an integer k, decide whether there exists F?V, |F|??k, such that G[V?F] is a forest and G[F] is connected. We show that Connected Feedback Vertex Set can be solved in time O(2 ^O(k) n ^O(1)) on general graphs and in time $O(2^{O(\sqrt{k}\log k)}n^{O(1)})$ on graphs excluding a fixed graph H as a minor. Our result on general undirected graphs uses, as a subroutine, a parameterized algorithm for Group Steiner Tree, a well studied variant of Steiner Tree. We find the algorithm for Group Steiner Tree of independent interest and believe that it could be useful for obtaining parameterized algorithms for other connectivity problems.     

User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model

Building on recent unique, yet potentially complementary, approaches to understanding the formation of user perceptions about technology (Venkatesh, 1999; Venkatesh & Speier, 1999), the present work reanalyzes the data from both studies to develop an integrated model of technology acceptance. The integrated model specifically examines the influence of pre‐training and training environment interventions (termed user acceptance enablers) to understand how user perceptions are formed prior to system implementation. The model is then further extended and tested using longitudinal data in a field setting. The results indicate that the integrated model emerged as a better predictor of user behavior when compared to the existing models.     

Vice Careers: The Changing Contours of Sex Work in New York City

In the mid-1990s, changes to law enforcement strategies in New York City pushed many women working in the sex trade off of the streets and into the indoors. Increasing numbers of women began advertising sexual services in bars, over the Internet, and in print media, and conducting their work in their homes, hotels, and brothels. This study uses in-depth interviews and participant observation to examine the impact of this change on the life and work of women working in New York’s indoor sex trade. A critical finding is that as women move their work indoors, they begin to conceive of sex work as a profession and a career, rather than just a short-term means of employment. This “professional and careerist orientation” may have significant implications for the length of women’s tenure in sex work and ultimately, for their ability to exit the trade completely.

A Noncooperative Model of Network Formation

We present an approach to network formation based on the notion that social networks are formed by individual decisions that trade off the costs of forming and maintaining links against the potential rewards from doing so. We suppose that a link with another agent allows access, in part and in due course, to the benefits available to the latter via his own links. Thus individual links generate externalities whose value depends on the level of decay/delay associated with indirect links. A distinctive aspect of our approach is that the costs of link formation are incurred only by the person who initiates the link. This allows us to formulate the network formation process as a noncooperative game. We first provide a characterization of the architecture of equilibrium networks. We then study the dynamics of network formation. We find that individual efforts to access benefits offered by others lead, rapidly, to the emergence of an equilibrium social network, under a variety of circumstances. The limiting networks have simple architectures, e.g., the wheel, the star, or generalizations of these networks. In many cases, such networks are also socially efficient.     

A Model of the Antecedents of Perceived Ease of Use: Development and Test*

The Technology Acceptance Model (TAM) has been widely used to predict user acceptance and use based on perceived ease of use and usefulness. However, in order to design effective training interventions to improve user acceptance, it is necessary to better understand the antecedents and determinants of key acceptance constructs. In this research, we focus on understanding the determinants of perceived ease of use. Data from three experiments spanning 108 subjects and six different systems supported our hypothesis that an individual's perception of a particular system's ease of use is anchored to her or his general computer self-efficacy at all times, and objective usability has an impact on ease of use perceptions about a specific system only after direct experience with the system. In addition to being an important research issue in user acceptance research, understanding antecedents of perceived ease of use is also important from a practical standpoint since several systems in which millions of dollars are invested are rejected because of poor user interfaces. Moreover, the actual underlying problem might be low computer self-efficacy of the target user group. In such cases, training interventions aimed at improving computer self-efficacy of users may be more effective than improved interface design for increasing user acceptance.     

Subsidiary power,cultural intelligence and interpersonal knowledge transfer between subsidiaries within the multinational enterprise

We propose that individual-level knowledge transfer between subsidiaries within a multinational enterprise depends on the perceived relative power of the subsidiary and the cultural intelligence of individuals. Using a sample of 333 research and development (R&D) subsidiary employees of foreign Multinational Enterprises (MNEs) in India, we find that the perceived subsidiary power has a direct positive significant effect on knowledge sharing, and an indirect significant effect, through organizational identification, on knowledge seeking. Further, cultural intelligence moderates the effect of organizational identification on knowledge seeking, and the indirect effect of the perceived subsidiary power on it. The findings highlight the role of organizational identification and cultural intelligence in explaining the impact of the perceived subsidiary power on interpersonal knowledge transfer within the MNE.