Building Virtual Age-Friendly Communities in Minecraft

A key theme of Age-Friendly Honolulu’s initiative is intergenerational exchange. The initiative believes that youth need to be aware of aging issues, demographic change, and think critically about the potential impact on their lives. The goal of the Age-Friendly Honolulu Youth Engagement Initiative is to teach youth about the role of the built environment and community features in promoting active aging and engagement among older adults. This article describes a new program in the field that teaches youth and older adults to assess the built environment and then use design thinking and Minecraft (a popular video game in which players use 3-D blocks to create virtual lands) to develop and envision ideas to improve the livability of their neighborhood.     

Open Order Rescheduling in Job Shops with Demand Uncertainty: A Simulation Study

This paper addresses the problem of open order rescheduling in a job shop. Results are reported of experiments conducted in a simulation model of an 8-machine job shop. Four different order updating policies are examined. The due-date process is modeled to include several realistic features about the pattern of due-date variability. These features are parameterized and tested at several levels. Tardiness results indicate that open order rescheduling is beneficial only when allowances are loosely set. The results indicate that inventory performance is improved by order rescheduling, particularly in cases when due dates are revised to earlier times than originally forecast.     

Trans-ideological business values in international codes of conduct

Traditionally, scholars of international business have been unconcerned with ethics and values, in part due to the widely-held belief that standards vary across cultures and ideologies. Recently, however, business ethicists have considered whether there are some business-related values that are shared across cultures. Through an analysis of the codes of conduct for multinational enterprises of four international organizations, five trans-ideological business values are discovered. They are national sovereignty, social equity, human rights, market integrity and organizational autonomy. The consensus in values is critically important for both scholarship and management.An earlier version of this paper was presented at the Second Annual Meeting of the International Association of Business and Society (March 1991). The author would like to thank three anonymous reviewers for their helpful comments on earlier drafts.     

The production of criminological experiments

This article examines the production of crime and justice field experiments during the 1990s. Data were collected on the characteristics of criminological experiments funded by the National Institute of Justice (NIJ), the principal research agency of the U.S. Department of Justice, during the 10-year period from 1991 through 2000. The analyses find that, whereas the funds available for research and evaluation at the NIJ increased during this period, the number of projects and the amount of funds awarded supporting field experiments declined. The article describes the characteristics of the experiments funded and assesses the extent to which the reduced support can be attributed to the characteristics of NIJ research funding, research topics, researchers, or criminal justice operational agencies.     

The Influence of Heuristics on Psychological Science: A Case Study of Research on Creativity

Research heuristics—implicit rules used to guide work on a scientific problem—are explored for their role in guiding psychological research. Work on the psychology of creativity is used to illustrate how heuristics have guided research. We examine the influence of three heuristics: the trilogy-of-mind heuristic, the emotions-as-moods heuristic, and the analysis-of-variance heuristic. This analysis of multiple heuristics provides a new way to understand the state of research on creativity. In the discussion, the analysis is extended to other heuristics and to how heuristics may help as well as hinder innovative research.     

Reports of Conferences, Institutes, and Seminars

This quarter's column features reports from the 2011 Electronic Resources & Libraries Conference; the 2011 North Carolina Serials Conference; the 2011 Association of College and Research Libraries Conference; the 2011 Kansas Library Association Conference; the New England Technical Services Librarians Section of the New England Library Association Spring 2011 Conference; and the 2011 Texas Library Association Conference.     

Reporting cumulative proportion of subjects with an adverse event based on data from multiple studies

Experience has shown us that when data are pooled from multiple studies to create an integrated summary, an analysis based on naïvely‐pooled data is vulnerable to the mischief of Simpson's Paradox. Using the proportions of patients with a target adverse event (AE) as an example, we demonstrate the Paradox's effect on both the comparison and the estimation of the proportions. While meta analytic approaches have been recommended and increasingly used for comparing safety data between treatments, reporting proportions of subjects experiencing a target AE based on data from multiple studies has received little attention. In this paper, we suggest two possible approaches to report these cumulative proportions. In addition, we urge that regulatory guidelines on reporting such proportions be established so that risks can be communicated in a scientifically defensible and balanced manner. Copyright © 2010 John Wiley & Sons, Ltd.     

Multiplicative-interaction logit models for i×j×2 three-way tables

Multiplicative-interaction (M-I) logit models are proposed for three-way IxJx2 contingency tables where the third variable constitutes a binary response. Models are derived by assigning unknown scores to the categories and forming product interactions from them. Asymptotic results under special sampling constraints are derived for maximum likelihood estimates and the goodness-of-fit statistics. The class of models proposed in this paper are found to be useful when no obvious scores are available. An example is included.