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The present study examines head of state gender and national collectivism to explain how some leaders have been able to manage a pandemic better than others.

We measure pandemic deaths per million using objective numbers for each country. Country collectivism is measured using the GLOBE study. Qualitative analyses of world leader speeches are used to examine how health-focused leaders’ language is. Media attention with sentiment analysis about each leader’s handling of the pandemic is also used to show how others reacted to leaders.

Countries with female leaders showed fewer pandemic deaths than those led by male leaders. The interaction between leader gender and country collectivism predicted death. Media sentiment was more favorable for women leaders than men leaders.

During times of crises, women’s more careful tendencies keep their constituents safer than their male counterparts. Country collectivism also aids male leaders in keeping constituents safe.

The present study helps unpack when women leaders thrive and outperform their male counterparts. This furthers United Nations Sustainable Development Goal 5: gender equality.

The study examines leader gender and national collectivism to predict pandemic deaths.

Moral issues such as environmental degradation and workers’ rights are no longer relegated to the political realm; today, they permeate the marketing of consumer products. Some consumer studies focus on organics, others on green goods and still others on fair trade products, but none include the full range of ethical consumption. This study, aims to investigate consumer willingness to pay for five distinct ethical narratives.

Using original data from a national sample, this paper parses out five types of ethical narratives: fair trade, sustainable/green, American-made and two types of charitable partnerships. Using random assignment and an experimental design allows in isolating the effects of gender, age, education, income, political orientation and political involvement on how much consumers are willing to pay for each type of ethical product.

This survey experiment demonstrates that the fair trade narrative is the most valuable to consumers, followed by the charitable narratives. The two charitable narratives are universally appealing, whereas fair trade, green and American-made products appeal to three distinct groups of consumers. This paper demonstrates that there is not one sort of ethical shopper, but many.

This study examines what sorts of stories appeal to particular demographics. It will help socially and environmentally responsible companies better understand their target demographic and how to motivate their target audience.

Previous research yields conflicting findings about who values ethical products because each study focuses on a different form of ethical consumption. This study uses original data to investigate consumers’ valuations of five different types of ethical narratives. The results help in making sense of divergent findings in the literature and expand understanding of socially conscious shoppers.

This is a selective guide to social service agencies in the U.S. which publish directories of their services. It is meant to assist collection developers in public, academic, and private agency libraries. A total of 154 agencies were contacted by mail and asked to complete a survey form. Twenty letters were returned, marked “no current address.” Fifty agencies returned the questionnaires and/or sent samples and other descriptive information. However, some organizations' information was insufficient or indicated that the agency/organization was inappropriate for inclusion. Only those that provided complete information are included.

In this paper, we study partial identification of the distribution of treatment effects of a binary treatment for ideal randomized experiments, ideal randomized experiments with a known value of a dependence measure, and for data satisfying the selection-on-observables assumption, respectively. For ideal randomized experiments, (i) we propose nonparametric estimators of the sharp bounds on the distribution of treatment effects and construct asymptotically valid confidence sets for the distribution of treatment effects; (ii) we propose bias-corrected estimators of the sharp bounds on the distribution of treatment effects; and (iii) we investigate finite sample performances of the proposed confidence sets and the bias-corrected estimators via simulation.

This case is a role-play exercise intended to give participants an opportunity to experience board meeting dynamics and logistics, determine how to scale a nonprofit for maximum impact, learn about governance best practices, and become generally familiar with nonprofit financial statements, dashboards, and new board member recruitment strategies. There is no right answer or correct outcome to the exercise; the value lies in participants' analysis of the situation, dialogue with one another, and post-meeting self-reflection.

Since the 1980s the economic development of countries in East Asia has had a marked impact on the world port community, particularly in container transport. This paper analyses changes in the competitive environment of the world container port sector using some standard tools of market concentration. Initially, this paper reviews the competitive position of world container port system and then examines the East Asian economic environment. Both ordinal and cardinal measures of port system inequality are used to demonstrate both the rankings and levels of container throughput have been diverging in the world's major economic blocs. Conversely, East Asian countries during the 1990s have shown a trend towards convergence. Measures of dispersion suggest that ports in East Asian countries have become more competitive in their levels of container throughput.

The New Hampshire library community has been involved with statewide multi‐library automation and connectivity initiatives since 1982. In that year, the New Hampshire Library Association appointed an automation task force to look into the possibility of automating the union catalog maintained by the New Hampshire State Library. The task force also recognized the more general objective of strengthening cooperation and communication among New Hampshire libraries. This objective has remained the guiding principle for statewide automation initiatives ever since. Based on the recommendations of the task force, the state legislature enacted legislation in 1983 to establish an automated data processing and information retrieval system and a statewide information network. The system came to be known as the New Hampshire Automated Information System (NHAIS).

The study’s objective is to measure the importance consumers attach to AI-based attributes, namely, chatbots, face recognition, virtual fitting room, smart parking and cashier-free station in retail stores. The study also examines the specific purpose of using these attributes for shopping.

A conjoint experiment was conducted using fractional factorial design. Consumers were given 14 profiles (AI attributes and its levels) to rank according to their visiting preferences.

The results revealed that the retail chatbot was considered the most important attribute, followed by face recognition, virtual fitting room, smart parking system and cashier-free station. Moreover, consumers prefer to use chatbots for in-store shopping assistance over alerts and updates, customer support and feedback. Similarly, consumers wish a face recognition facility for greetings while entering the store over other services. In addition, cluster analyses revealed that customer groups significantly differ in their preferences for AI-based attributes.

The study guides retail managers to invest in AI technologies to provide consumers with a technology-oriented shopping experience.

Our results provide an insight into the receptivity of AI technologies that consumers would like to experience in their favorite retail stores. The present study contributes to the literature by investigating consumer preferences for various AI technologies and their specific uses for shopping.