Search results

The purpose of this paper is to inform individuals that the looting and destruction of Iraq's cultural heritage was an attack on the rich culture of humanity itself.

Published works, both recent and ranging back to the middle of the twentieth century, such as articles, books, Congressional Bills/Parliamentary Acts, and United Nation reports were examined. By reviewing various pieces of literature and legislation, this paper reveals the long and difficult road to preserving a nation's cultural heritage.

In the wake of the USA's and coalition's invasion of Iraq in 2003, Iraq's National Library and Archives, National Museum, and other significant cultural heritage sites were pillaged by looters and thieves. This paper discusses the response by librarians and archivists to the destruction of Iraq's historical collections and the actions taken. The safeguards, which have, over time, developed to preserve a nation's cultural identity, were not enforced during or after the invasion of Iraq. This paper examines a few examples in the twentieth century of nations' repositories that were purposely destroyed.

This paper identifies key pieces of legislation and events that will allow individuals to comprehend to the fullest the danger to libraries and museums from modern warfare.

The South Texas University this study examined is a Hispanic Serving Institution (HSI) that has a 73.3% Hispanic (primarily Mexican American) population (Tallant, 2018 ). The logical consequence of education is the provision or guarantee of an equitable opportunity for all students to have equal access to learning and the achievement of academic success (Stewner-Manzanares, 1988 ). The basic definition of bilingual education in the United States is the use of two languages for instruction of the home language and English. Unfortunately, this basic principle is not accepted by postsecondary institutions as predispositions of university preparedness (Blanchard & Muller, 2014; García, Kleifgen, & Falchi, 2008; Kanno & Cromley, 2013; Lee et al., 2011; Menken, Hudson, & Leung, 2014). Mexican American students are potentially being left out of the opportunities afforded by the attainment of a postsecondary education because they are a language minority (Lucas, Henze, & Donato, 1990; Moll, 1990; Trueba, 2002; Trueba & Wright, 1981; Washington & Craig, 1998). Students are already examined for postsecondary credentials or college readiness, in the eighth grade (Paredes, 2013). Through this testing, 11 out of every 100 Hispanic children in the state of Texas are deemed as having attained postsecondary credentials (Paredes, 2013). As part of the fastest growing demographic group in Texas and the United States, the Mexican American population holds the lowest rate of graduation from postsecondary institutions and the highest high school dropout rate of any ethnic minority in the nation. In a 12-year study, Kanno and Cromley (2013) found that one out of eight English as a second language (ESL) or English language learners (ELLs) attain a bachelor’s degree from postsecondary institutions across the United States while the success rate for their English, monolingual counterparts is one out of three. Various researchers (García et al., 2008; García, Pujol-Ferran, & Reddy, 2012) argue that the inequity of education in the United States can be measured by how few minority students educated under the principles of education attend a postsecondary institution because it is the diploma from such institutions that leads to higher paying wages for the individual (García, 1991; García et al., 2008, García et al., 2012).

This paper aims to propose comparing the performance of three algorithms based on different population-based heuristics, particle swarm optimization (PSO), artificial bee colony (ABC) and method of musical composition (DMMC), for the districting problem.

In order to compare the performance of the proposed algorithms, they were tested on eight instances drawn from the Mexican electoral institute database, and their respective performance levels were compared. In addition, a simulated annealing-based (simulated annealing – SA) algorithm was used as reference to evaluate the proposed algorithms. This technique was included in this work because it has been used for Federal districting in Mexico since 1994. The performance of the algorithms was evaluated in terms of the quality of the approximated Pareto front and efficiency. Regarding solution quality, convergence and dispersion of the resulting non-dominated solutions were evaluated.

The results show that the quality and diversification of non-dominated solutions generated by population-based algorithms are better than those produced by Federal Electoral Institute’s (IFE’s) SA-based technique. More accurately, among population-based techniques, discrete adaptation of ABC and MMC outperform PSO.

The performance of three population-based techniques was evaluated for the districting problem. In this paper, the authors used the objective function proposed by the Mexican IFE, a weight aggregation function that seeks for a districting plan that represents the best balance between population equality and compactness. However, the weighting factors can be modified by political agreements; thus, the authors decided to produce a set of efficient solutions, using different weighting factors for the computational experiments. This way, the best algorithm will produce high quality solutions no matter the weighting factors used for a real districting process. The computational experiments proved that the proposed artificial bee colony and method of musical composition-based algorithms produce better quality efficient solutions than its counterparts. These results show that population-based algorithms can outperform traditional local search strategies. Besides, as far as we know, this is the first time that the method of musical composition is used for this kind of problems.

This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

This paper presents recently published resources on library instruction and information literacy. It provides an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts. The selected bibliography is useful to efficiently keep up with trends in library instruction for busy practitioners, library science students and those wishing to learn about information literacy in other contexts.

This article annotates 424 English-language periodical articles, monographs, dissertations, theses and reports on library instruction and information literacy published in 2021. The sources were selected from the EBSCO platform for Library, Information Science, and Technology Abstracts (LISTA), Education Resources Information Center (ERIC), Scopus, ProQuest Dissertations and Theses, and WorldCat, published in 2021 that included the terms “information literacy,” “library instruction,” or “information fluency” in the title, abstract or keywords. The sources were organized in Zotero. Annotations summarize the source, focusing on the findings or implications. Each source was categorized into one of seven pre-determined categories: K-12 Education, Children and Adolescents; Academic and Professional Programs; Everyday Life, Community, and the Workplace; Libraries and Health Information Literacy; Multiple Library Types; and Other Information Literacy Research and Theory.

The paper provides a brief description of 424 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested as a quick and comprehensive reference to literature on library instruction and information literacy within 2021.

This study examines the dynamic relationships of visit behavior in the multiple channels [personal computer (PC) and mobile channels] on online store sales performance.

The empirical data were from an online store for the period between August 14, 2015 and May 15, 2016. The data consisted of consumer visit behavior and online store sales performance. Vector autoregression with an exogenous variables model was adopted to investigate the dynamic relationships.

The empirical results show significant relationships between visit behavior metrics (number of visitors, average number of visits per visitor and average length of each visit) in the two channels and online store sales performance. The number of visitors through the PC and mobile channels strongly and positively affects online store sales performance both in the short term and in the longer term. Moreover, the number of visitors in the PC channel has the strongest influence on sales performance metrics, followed by the number of visitors and the average number of visits in the mobile channel. The PC channel's visit behavior metrics explain a larger proportion of the sales performance variance than that in the mobile channel.

The previous literature on consumer behavior in multichannel marketing mainly focuses on channel selection or migration, and examines the different factors affecting channel choice behavior. Little is known about the impacts of visit behavior in the multiple channels. This study adopts the heuristic-systematic information processing theory to unveil the impacts of visit behavior metrics in the PC and mobile channels on online store sales performance.

Controversy has long swirled over the claim that Donald Trump's base has deeply rooted authoritarian tendencies, but Trump himself seems to have few doubts. Asked whether his stated wish to be dictator “on day one” of second term in office would repel voters, Trump said “I think a lot of people like it.” It is one of his invariable talking points that 74 million voters supported him in 2020, and he remains the unrivaled leader of the Republican Party, even as his rhetoric escalates to levels that cautious observers now routinely call fascistic.

Is Trump right that many people “like” his talk of dictatorship? If so, what does that mean empirically? Part of the answer to these questions was apparent early, in the results of the 2016 American National Election Study (ANES), which included survey questions that we had proposed which we drew from the aptly-named “Right-Wing Authoritarianism” scale. Posed to voters in 2012–2013 and again in 2016, those questions elicited striking responses.

In this chapter, we revisit those responses. We begin by exploring Trump's escalating anti-democratic rhetoric in the light of themes drawn from Max Weber and Theodor W. Adorno. We follow this with the text of the 2017 conference paper in which we first reported that 75% of Trump's voters supported him enthusiastically, mainly because they shared his prejudices, not because they were hurting economically. They hoped to “get rid” of troublemakers and “crush evil.” That wish, as we show in our conclusion, remains central to Trump's appeal.

This issue is a selected bibliography covering the subject of leadership.