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LISA (Library and Information Science Abstracts on CD‐ROM) will no longer be produced by SilverPlatter; it is being replaced by Bowker‐Saur's LISA Plus. The two products are compared with regard to the user interface software, particularly from the aspects of functionality and ease of use. It is concluded that, from this viewpoint, the change may not be an entirely welcome one.

The purpose of this paper is to examine science, technology, engineering, art and mathematics (STEAM) efforts at Florida Atlantic University’s (FAU) John D. MacArthur Campus Library (JDM) to share methodologies and ideas with other academic libraries. Recently, there has been an emphasis on and push for science, technology, engineering and mathematics (STEM) education in colleges and universities across the USA as a means for training future work forces and for remaining competitive in global job markets (Land, 2013). FAU in South Florida is a big proponent of STEM and STEAM education (Florida Atlantic University, 2012; Dorothy F. Schmidt College of Arts and Letters, 2013).

As many librarians and outreach staff strive to remain relevant to their faculty and students with changing technologies (Drewes and Hoffman, 2010), the FAU JDM outreach staff have developed several novel programs that are geared toward the STEAM initiative.

The Library Outreach Committee at FAU was committed to investigating how they could advance student success through visual arts programming. How can the library help contribute to STEAM education for the students and learning community as a whole? How can the library engage art students? Can the library promote dialogue in arts to the faculty and staff, regardless of their disciplines? This article will describe and discuss the various art outreach programs that the JDM has tested and their outcomes addressing goals toward STEAM education and academic libraries.

The objective in sharing the experiences at the JDM is to spark new and successful program ideas at other academic libraries across the country and abroad and create knowledge in this relatively new area.

Multimedia technology has been the object of hype for a number of years now. But what is it really? Is it a viable commercial solution or simply a fringe technology with no real benefit to the average end‐user? The glossy description of multimedia is that it is the mix of sound and vision just like television — but it's more than that, because it is interactive and it has great appeal in its application as a method for companies to produce top‐notch, all‐singing, all‐dancing presentations: taking graphics, voice, music and video and manipulating them to provide three‐dimensional PC‐generated business shows. This technology is incredible but its promise has yet to be realised.

Purpose – Emergency situations are known to have significant effects on public attitudes toward the police. However, little is known about these effects over prolonged periods of time, and how they vary across different types of attitudes. Moreover, it is unclear what the root causes of fluctuations in public sentiments of the police in emergency situations are. The present chapter reviews the findings of a research project designed to address these questions.

Methodology/Approach – A three-wave panel survey carried out in Israel in the first three peaks (and corresponding lockdowns) of the COVID-19 pandemic: April, September and December, 2020.

Findings – Following what appears to be a rise in support for the police at the first peak of the pandemic, the authors find a significant drop in numerous types of attitudes in the second peak. Between the second and the third peaks, broad evaluations of the police (not directly related to the pandemic) stabilized, while some pandemic-specific attitudes continued to deteriorate. The drop in diffused support for the police was associated with participants’ assessments of the government’s performance in handling the pandemic.

Originality/Value – Beyond shedding light on fluctuations in public attitudes toward the police over the course of the COVID-19 pandemic, these findings add to our more general understanding of what happens to the relationship between the police and the public in emergency situations.

The purpose of this paper is to explore the relationship between sexualization of the work environment and emotional exhaustion, and develop some key antecedents of sexualization of the work environment. It was conducted in an emerging society, India, which has a high rate of crime against women, particularly related to sexual harassment and sexual assault.

To test the hypotheses, structural equation modeling was performed. The hypotheses were tested with data from 1,098 white collar workers in India in three ways.

Contact with other gender and flexible work arrangements were positively associated with sexualization of the work environment; and sexualization of the work environment was positively associated with emotional exhaustion. In addition, sexualization of the work environment mediated the relationship between the two antecedent variables and emotional exhaustion.

There is a possible bias arising from the use of cross-sectional data. However, a number of methods were implemented to minimize it, including survey design and data analysis.

The study offers some important suggestions for workplaces with a greater proportion of young male employees, particularly in a societal context like India.

The paper provides evidence of the negative impact of sexualization of the work environment, and thereby contributes to current understanding of the “dark side” of behavior at work that might have significant impact on society.

This study is concerned with markets operating in Turkey in the Istanbul Stock Exchange (BIST), which have been observed and studied in relation to herd behavior. During the research part of the study, the existence of herd behavior was investigated with the help of the daily closing price data of the firms in BIST between January 2011 and December 2017. In the research section of the study, the authors used regression analysis. In the analysis, the authors used the index value of the BIST whole Index. The average value of the index value of BIST whole Index was taken. Then, according to this average, 1% percentile and 5% percentile were taken. In the periods in the 1% percentile (at the dates) the result was that herd behavior was present. The herd behavior was observed for the periods (for dates) included in the percentile of 1%. On the other hand, the results of the analysis for the 5% percentile show that the herd behavior is only seen in the upper extremes.

People with pre-existing mental health conditions are more likely to be affected by global crises. The Covid-19 pandemic has presented them with unique challenges, including reduced contact with the psychiatric rehabilitation and support systems. Thus, understanding the emotional experience of this population may assist mental health organizations in future global crises.

In this paper, researchers analyzed the discourse of the mentally ill during the Covid-19 pandemic, as reflected in Israeli Facebook groups: three private groups and one public group. Researchers explored the language, reactions, emotions and sentiments used in these groups during the year before the pandemic, outbreak periods and remission periods, as well as the period before the vaccine’s introduction and after its appearance.

Analyzing groups’ discourse using the collective emotion theory suggests that the group that expressed the most significant difficulty was the Depression group, while individuals who suffer from social phobia/anxiety and PTSD were less affected during the lockdowns and restrictions forced by the outbreak.

Findings may serve as a tool for service providers during crises to monitor patients’ conditions, and assist individuals who need support and help.

This chapter analyzes the empirical performance of alternative option pricing models using Black and Scholes (1973) as a benchmark. Specifically, we consider the Heston (1993) and Corrado and Su (1996) models and price call options on the S&P 500 index over the period from November 2010 to April 2011, evaluating each model by computing in- and out-of-sample pricing errors. We find that the two proposed models reduce both types of errors and mitigate the smile effect with respect to the benchmark. Moreover, in most of the cases, the model in Corrado and Su (1996) beats that in Heston (1993). Then, we conclude that skewness and kurtosis matter for option pricing purposes.