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The purpose of this paper is to examine the effectiveness of a specific library portal at the University of Technology MARA based on the opinions of students in the Faculty of Information Management.

The paper is survey based; 400 self‐administered questionnaires were sent out to students of Faculty of Information Management, University of Technology MARA.

In terms of information quality assessment, respondents had indicated that the library portal met their expectations. All the information quality attributes, namely completeness, comprehensiveness, accuracy, timeliness, reliability and appropriateness of format were rated highly by users. Equally important to information quality is systems quality and service quality. When asked to evaluate the systems quality aspect of the library portal, respondents have also rated highly.

The paper utilizes effective existing methods to determine portal effectiveness. It provides a study of only one portal, however, and as such the results are indicative only of the views of one group of students using the portal.

This paper offers a snapshot of a library portal and the opinions of users as regarding its effectiveness and would be of value to digital library researchers, or others interested in library portal effectiveness or design.

Management has considerable discretion over how to present and announce earnings components that are either unusual or infrequent, but not both (hereafter referred to as special items). In this study, we study the independent and joint effects of the accounting presentation format of, and the level of announcement prominence given to income-decreasing special items on investors’ judgments about the persistence of declining earnings.

Our study uses a 3 (format) × 2 (prominence) between-subjects design. In the experiment, participants act as proxies for nonprofessional investors to assess the persistence of a hypothetical firm’s declining earnings and make investment decisions.

Our results suggest that investors’ judgments are influenced by accounting presentation format and the level of announcement prominence. With respect to format, both classification and disaggregation affect investors’ assessment of earnings persistence. In addition, the degree of prominence given to an income-decreasing special item, albeit self-serving and not audited, introduces additional influence beyond that of accounting presentation format. In particular, we find that announcement prominence has a greater effect when the special item is aggregated with other operating expenses than when the special item is presented under the two other alternatives.

Our study contributes to the literature by demonstrating that presentation format and announcement prominence both have significant impact on investors’ judgments and decisions, and that their effects are interactive. Our results also indicate that future research can possibly gain better insight if it considers the accounting attributes of the special items in addition to their economic attributes.

Do women exhibit greater financial risk aversion than men? We answer this question using attitudinal and behavioral specifications of risk aversion drawn from the 2010 Survey of Consumer Finances (SCF). To approximate attitudinal specification of risk aversion, we use individuals’ self-reported financial risk tolerance. We use individuals’ relative risk aversion, that is, the effect of wealth on the proportion of assets categorized as risky as behavioral specification of risk aversion. We find that while women display greater attitudinal risk aversion, gender difference in behavioral risk aversion depends upon individuals’ marital status and role in household finances. Single women exhibit greater behavioral risk aversion compared to single men. However, this gender difference does not exist when we compare behavioral risk aversion of married women and men in charge of household finances.

Social movement scholars use protest events as a way to quantify social movements and have most often used large, national newspapers to identify those events. This has introduced known and unknown biases into our measurement of social movements. We know that national newspapers tend to cover larger and more contentious events and organizations. Protest events are furthermore a small part of what social movements actually do. Without other readily available options to quantify social movements, however, big-N studies have continued to focus on protest events via a few large newspapers. With advances in digitized data and computational methods, we now no longer have to rely on large newspapers or focus only on protests to quantify important aspects of social movements. In this paper, we use the environmental movement as a case study, analyzing data from a wide range of local, regional, and national newspapers in the United States to quantify multiple facets of social movements. We argue that the incorporation of more data and new methods to quantify information in text has the potential to transform the way we both conceive of and measure social movements in three ways: (1) the type of focal social movement organization included, (2) the type of tactics and issues covered, and (3) the ability to go beyond protest events as the primary unit of analysis. In addition to demonstrating ways that the focus on counting protest events has introduced specific biases in the type of tactics, issues, and organizations covered in social movement research, we argue that computational methods can help us extract and count meaningful aspects of social movements well beyond event counts. In short, the infusion of new data and methods into social movements, peace, and conflict studies could lead us to a substantial shift in the way we quantify social movements, from protest events to everything that occurs outside of them.

Was the October Revolution inevitable? If yes, what was its real character? If not, could it have been avoided or taken a different course? What was the role played in it by Lenin? Using the dialectical method of analysis, an attempt is made to provide answers to these questions. The following points are stressed: (1) Given the general and particular conditions of Russian life created by the First World War and the February Revolution, the break with the old democratic mixed capitalist form and the establishment of the new totalitarian state capitalist form of the social development were inevitable. (2) The fact that this process was headed by Lenin was accidental and, hence, avoidable. (3) But Lenin individualised the general and particular features of the October Revolution in terms of the names of the events associated with the revolution, of the time of its occurrence, of its participants and of their positions during and after the revolution.

The paper aims to highlight both major and minor features of the library portal, which empowers users to get access to a wide variety of e‐resources with a single sign‐on.

The study is mainly based on a review of the literature. It briefly discusses the transition from the library OPAC to the library portal.

A library portal is an extension of the Web OPAC. It continues to improve with the new features and capabilities, some of which may go beyond the library portal.

Library portals are changing too rapidly and the information would be out of date within a few months. So the currency of information is the value of this paper.

While social media data are used increasingly in studies of social movements, social media evolves far more rapidly than academic research and publication. This chapter argues that researchers should adopt historical and archival approaches to social media data. Treating social media data as an “instant archive” – one that is self-curated, is co-constituted, and changes rapidly – we caution researchers to pay attention to the features of this archive and their implications for working with the data therein. Applying insights from recent discussions of archival methods for social science research to the specific features of social media data, we explore how platform features, repressive effects, and user innovations affect the content of the instant archive. We then offer strategies for researchers' methodological approaches, including how best to select units of analysis and platforms, how to collect and interpret archival materials, and how to identify silences in the data.