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Purpose – As researchers need partners to collaborate with, this study aims to provide author recommendation for academic researchers for potential collaboration, conference planning, and compilation of scientific working groups with the help of social information. Hereby the chapter analyzes and compares different similarity metrics in information and computer science.

Methodology/approach – The study uses data from the multidiscipline information services Web of Science and Scopus as well as the social bookmarking service CiteULike to measure author similarity and recommend researchers to unique target researchers. The similarity approach is based on author co-citation, bibliographic coupling of authors and collaborative filtering methods. The developed clusters and graphs are then evaluated by these target researchers.

Findings – The analysis shows, for example, that different methods for social recommendation complement each other and that the researchers evaluated user- and tag-based data from a social bookmarking system positively.

Research limitations/implications – The present study, providing author recommendation for six target physicists, is supposed to be a starting point for further approaches on social academic author recommendation.

Practical implications – The chapter investigates in recommendation methods and similarity algorithm models as basis for an implementation of a social recommendation system for researchers in academics and knowledge-intensive organizations.

Originality/value of chapter – The comparison of different similarity measurements and the user evaluation provide new insights into the construction of social data mining and the investigation of personalized recommendation.

This chapter aims to provide a review of women's empowerment indicator in Arab countries. It estimates the determinants of women's economic empowerment in Arab countries to conclude some insights related to the effect of access to finance on empowering women. Moreover, the chapter aims to assess MFIs performance in supporting women's empowerment, based on actual data during the period 2008–2016 for selected Arab countries. Results show that women access to finance indicator is not sufficient to give clear evaluation for the role of MFIs in Arab Countries in empowering women. This issue requires many efforts from various parties from micro to macro players in the economy. In addition, the analysis of percentage of female borrowers and their share of gross loan portfolio concludes that performance in terms of empowering women through MFIs seems to be effective for some Arab countries while poor for others.

Real estate investment trusts (REITs) provide a mechanism through which investors can participate in the real estate market with liquidity and transparency. In this study, we benchmark the performance of 11 residential REITs for the period 2009–2013. The study tracks the performance of residential REITs through the economic crisis period. The data envelopment analysis (DEA) model uses well-performing units (efficiency of 1% or 100%) that are closest to the underperforming unit on the efficiency frontier as a “role model” (peer units) for the underperforming unit. In addition, the DEA model also calculates by how much a nonperforming unit should increase the output level or decrease the inputs level to be on the efficiency frontier (100%) (slack values). Thus, the DEA model identifies the underperforming units and the most feasible path to move to efficiency frontier. The DEA model identifies the peer units that are closely related to these units and calculates the value of the slack variables required to achieve the same efficiency level as their peers.

This chapter examines the relationship between directors and officers (D&O) liability insurance and stock-price synchronicity by testing competing corporate governance-related monitoring and moral hazard-related agency conflict hypotheses. Testing a sample of stocks listed on the Taiwan Stock Exchange and the Taipei Exchange for 2008–2020, the empirical results of this study indicate that D&O insurance in Taiwan is negatively correlated to stock-price synchronicity. This negative relation is robust to a battery of tests, including those of fixed-effects regression models, alternative sample periods, alternative synchronicity measures, and alternative insurance measures. Further evidence indicates that this negative relationship is more pronounced among firms with greater agency problems, especially during periods of high market uncertainty. Overall, these findings support the corporate governance-related monitoring hypothesis, which posits that firms with greater D&O insurance are likelier to be characterized by better governance structures and information transparency. Additionally, their stock prices are more likely to reflect firm-specific information in a timely and precise manner, and they are more likely to have lower synchronicity with the industry and market.

This chapter seeks to investigate the ways individualistic versus collectivistic values moderate neural responses to social exclusion among African American and White respondents. The author hypothesized that the vmPFC – a key brain region for emotion regulation – would correspond to collectivistic value moderation and the dlPFC – the cognitive control center of the brain – would be associated with individualistic value moderation.

This study used a virtual ball tossing game (Cyberball), where 17 African American and 11 White participants were excluded or included with ball tosses, while inside an fMRI scanner. Before the start of each round the participants were primed with individualism, collectivism or a comparison condition.

Results showed that (1) African Americans showed stronger neural responses to exclusion and (2) offered support for the hypothesis that the dlPFC showed greater activation in African Americans (compared to Whites) when they were primed with individualism values during exclusion. There was no support for the collectivism hypothesis.

Research limitations included a relatively small sample size (N = 28), a comparison of only two racial groups and that the partners in the game were virtual (pre-programmed by the experimenter).

This research offers an empirical framework for sociologists seeking to apply social theories into neurological studies.

Identifying effective coping strategies for historically oppressed racial groups.

The chapter is original for demonstrating the moderating effects of values on neural responses to exclusion for the first time and by offering a novel neurosociological framework.

Purpose – We summarize three previous neuroeconomic studies with two features that distinguish them from most others in experimental economics: (1) the use of physical pain to induce incentives and (2) acquisition of data on brain activation levels. By correlating behavior when payoffs are painful with brain activation, we are able to test for the neurobiological relevance of important phenomena previously observed in experimental studies that are at odds with classical economic theories of decision-making. These specific phenomena are (a) negative discounting of future payoffs; (b) nonlinear probability weighting; (c) the experience of regret and rejoice when making a decision under risk.

Methodology/approach – The expectation of pain is created through the use of mild electric shocks to the top of the foot. Pain confers disutility, so decisions are made in the domain of losses relative to the status quo. Simultaneous with these decisions, brain activation data is acquired through functional magnetic resonance imaging (fMRI).

Findings – We find evidence for negative time discounting of electric shocks. Participants who exhibited the most extreme forms of this discounting were distinguished by early and robust activation of a subset of the cortical pain matrix. We also find evidence for probability weighting in the domain of electric shocks, which is manifest at the neural level. We find evidence both behaviorally and neurally for regret and rejoice functions for painful outcomes.

Originality/value of chapter – Previous experimental economic studies in the domain of losses have typically used monetary rewards. Here, we report behavioral effects and neural correlates using pain.

Corruption is ubiquitous, deeply rooted in Bangladesh’s socio-political fabric. Over the past two decades, the phenomenon has reached to an extent that it is now inescapable and almost impossible to eradicate. Successive governments have tried several measures to combat corruption without much success. This chapter will probe into the nature and extent of corruption in Bangladesh from a wider perspective and consider some of the underlying historical, social, cultural, political, economic, and administrative reasons for the pervasive malfeasance in the public sector. It will evaluate the effectiveness of anti-corruption laws, and the strategies followed by institutions meant to fight corruption.

The International Classification of Functioning, Disability and Health (ICF) was published in 2001 after over a decade of international discussion and field testing (see, for instance, Bickenbach, Chatterji, Badley, & Ustun, 1999). Its ratification by the World Health Assembly was keenly awaited in Australia, by people interested in working with a model of disability attuned to a human rights and equal opportunities approach, and by people wanting to use the new model in disability and health policy and information systems. This paper outlines developments being implemented and ideas being discussed in Australia, particularly with the Australian Collaborating Centre (ACC).¹

Examine the effectiveness of online tutoring software to ameliorate poor performance in intermediate financial accounting.

Probit regression analysis comparing users versus nonusers of online accounting tutoring software, as well as analysis of student achievement pre and post-technology adoption over a 10-year period.

We confirm prior research findings that the number of terms that have transpired since a student took introductory financial accounting, whether they took the course at a two-year college, or if they needed to repeat the introductory course, are all negatively associated with performance in intermediate accounting. We find evidence that an online tutoring system, ALEKS®, helps moderate these negative correlations. Results suggest that in upper division courses where student knowledge of underlying basic material is uneven, online tutors are an effective tool in bringing students up to an equal level of competence without sacrificing class time.

Provides empirical evidence on the usefulness of online accounting software as a review tool in intermediate accounting.

Disadvantages experienced by accounting students due to when, where, and how they learned introductory accounting can be overcome quickly.

Although vendors of intelligent online tutoring software market their product as a useful review tool for intermediate accounting, academic research has not examined the effectiveness of these products.