“Battle of the Mei-Meis”

On May 7, 2011, Singapore held its 16th General Election. The ruling People’s Action Party (PAP) predictably secured a landslide victory, and yet the result was contextually historic, with the opposition winning six seats from a possible eighty-seven—the largest loss for the PAP since political independence in 1965. At the centre of the General Election was a persistent media buzz surrounding two young female candidates: Tin Pei Ling of the People’s Action Party and Nicole Seah of the National Solidarity Party. While the former suffered sustained criticism, the latter received sustained praise. This article seeks to analyze the manner in which these two women were positioned as inverse feminine subjects within the mediascape. The analysis emerges from data collected from 194 sources which appeared online between March 29, 2011 and May 8, 2011, comprising political blogs, discussion forums, articles, and reports from online news sites. It aims to reveal how the gendered media constructions of, and public responses to, both women interpolate a diametrically opposed positive and negative binary of womanhood which functions to: (1) reify national discourses of ideal femininity; and (2) corroborate regional conceptualizations of “good” and “bad” feminine subjectivities.     

Consumer processing of hazard warning information

Using data obtained from a field experiment involving 957 consumers, this study investigates the linkage between hazard warnings and precautionary behavior, as well as the structure of the information about product usage and risks that consumers store in their memories. Through the use of a methodology based on an open-ended memory recall task, we measure how consumer recall of information on product labels is affected by the type and format of the information and infer the structure by which this information is stored in their memory. The methodology also allows us to explore the importance of limitations on consumers' cognitive abilities. In particular, we find that consumers substitute greater recall of risk information for recall of usage information, indicating a tradeoff among the different types of information conveyed on a product label. We also found that in the case of cluttered labels, as typified by many existing product labels, information overload results, which may make labeling ineffective in achieving its intended informational objective.     

Interviewer as instrument: accounting for human factors in evaluation research

This methodological study examines an original data collection model designed to incorporate human factors and enhance data richness in qualitative and evaluation research. Evidence supporting this model is drawn from in-depth youth and adult interviews in one of the largest policy/program evaluations undertaken in the United States, the Drug, Alcohol, and Tobacco Education evaluation (77 districts, 118 schools). When applying the explicit observation technique (EOT)--the strategic and nonjudgmental disclosure of nonverbal human factor cues by the interviewer to the respondent during interview--data revealed the observation disclosure pattern. Here, respondents linked perceptions with policy or program implementation or effectiveness evidence. Although more research is needed, it is concluded that the EOT yields richer data when compared with traditional semistructured interviews and, thus, holds promise to enhance qualitative and evaluation research methods. Validity and reliability as well as qualitative and evaluation research considerations are discussed.     

Transformational Leadership Education and Agency Perspectives in Business School Pedagogy: A Marriage of Inconvenience?

We critique transformational leadership education in university business schools based on a literature review, a study of the websites of 21 leading business schools, and an analysis of two presentations to business school students at Massachusetts Institute of Technology and Stanford University by the former CEO of General Electric, Jack Welch. Our critique draws attention to the unresolved tension between two motivating ideas that underpin much teaching in business schools: collective interest ideas that permeate transformational leadership education; and self-interest ideas derived from agency theory. Transformational leadership tends to be depicted as a process by which leaders exert a 'top-down' influence over the activities of others, while simultaneously asserting that their organizations have a common purpose and pursue a collective interest. We highlight the risk that business schools are producing graduates who will attempt to appeal to common needs (guided by precepts of transformational leadership) but who will simultaneously enact contradictory performance management systems (guided by agency theory). We encourage business school educators in leadership to adopt approaches which are more critical, relational and reflexive. We suggest some general directions for an alternative leadership prospectus, based on followership, the promotion of critical upward communication within organizations, and the recognition of leadership as a contested, discursive and co-constructed phenomenon.     

Pathways to social value and social change: An integrative review of the social entrepreneurship literature

Social entrepreneurship has emerged as an important means of addressing grand challenges. Although research on the topic has accelerated, scholars have yet to articulate an overarching framework that links the different pathways taken by social entrepreneurs with the positive effects of these efforts. To address this shortcoming, we conducted a systematic literature review which enabled us to conceptually differentiate between social value and social change as distinct outcomes of social entrepreneurship and identify seven pathways for achieving these outcomes. Building on our analysis, we outline a research agenda for questions pertaining to: the dynamics between social value and social change; how contextual factors and social entrepreneurs influence various pathways; design principles of business models and innovations that facilitate social value and social change; and defining, measuring, and ensuring accountability for social value and social change.     

Bootstrap Methods for Markov Processes

The block bootstrap is the best known bootstrap method for time‐series data when the analyst does not have a parametric model that reduces the data generation process to simple random sampling. However, the errors made by the block bootstrap converge to zero only slightly faster than those made by first‐order asymptotic approximations. This paper describes a bootstrap procedure for data that are generated by a Markov process or a process that can be approximated by a Markov process with sufficient accuracy. The procedure is based on estimating the Markov transition density nonparametrically. Bootstrap samples are obtained by sampling the process implied by the estimated transition density. Conditions are given under which the errors made by the Markov bootstrap converge to zero more rapidly than those made by the block bootstrap.