Long-term marriages: A critical review

Research guidelines are proposed for the study of long-term marriages based on a critical review of existing studies. Current problems in the collection and analysis of the data include the lack of agreement about the minimum length of a long-term relationship, the failure to make couple comparisons, or to follow samples longitudinally. In addition, the response rate is uniformly low and the variables studied are not consistent. Future research should gather data about couples, not just individuals, and should utilize standardized measures. It is important to begin to build a comprehensive and comparable data base of long-term marital relationships.     

Blacks, whites, and attitudes towards abortion

This article examines patterns of black and white support forabortion from 1972 to 1980. The findings reveal that black-whitedifferences are present on the abortion issue. Many of the differencesare due to the different demographic characteristics of blacksand whites and the greater degree of religiosity of blacks.     

Social and Economic Motivation at Work

Public Organization Review -     

Managing from the Inside Out: Drawing on 'Receptivity' to Explain Variation in Strategy Implementation

With the rise of 'New Public Management' (NPM), government policy has encouraged public-sector organizations to downsize and outsource their services. There is, however, local variation in the use of outsourcing – this is 'managing from the inside out'. This paper draws on the notion of receptivity for organizational change to explain variation in strategy implementation. Four receptivity factors are identified which seem to explain the success of two contrasting English local government outsourcing strategies: ideological vision, leading change, institutional politics and implementation capacity. The organization level of change is interconnected with two other levels of change (the public service and environment levels) to illustrate the dynamic nature of change.     

Produktdesign und Semi-Statische Absicherung von Turbo-Zertifikaten

Zusammenfassung  Turbo-Zertifikate geh?ren derzeit zu den beliebtesten strukturierten Produkten für Privatanleger. Sie lassen sich als Spezialformen von Barrier-Optionen auffassen. In Bezug auf das Produktdesign ist das Verh?ltnis von Kursschranke und Basispreis von Bedeutung. Unter Ausnutzung der Put-Call-Symmetrie wird gezeigt, dass eine geeignete Wahl der Ausstattungsmerkmale dem Emittenten eine semi-statische überabsicherung in Standard-Optionen erm?glicht, die bezüglich einer ganzen Modellklasse gültig ist. Im Gegensatz zu der in der Praxis g?ngigen Preisstellung kann eine Absicherung der Zahlungsverpflichtungen im Allgemeinen nicht unabh?ngig von der Volatilit?t erfolgen.

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Product design and semi-static hedging of turbo-certificates

Summary  Turbo-Certificates are one of the most popular structured equity products for private investors in Germany. They can be regarded as special forms of barrier options. For the design of these products, the relation between the barrier level and the strike price is especially important. By using the put-call-symmetry, we show that by a certain choice of these parameters, the issuer is able to obtain an almost static (super-) hedge in standard option contracts which is valid for a general class of models. It turns out that in contrast to the pricing rule which is often used in practice, the issuer can neither hedge a single certificate nor a portfolio of certificates independent of the volatility.

     

Variable precision rough set theory and data discretisation: an application to corporate failure prediction

Since the seminal work of Pawlak (International Journal of Information and Computer Science, 11 (1982) 341–356) rough set theory (RST) has evolved into a rule-based decision-making technique. To date, however, relatively little empirical research has been conducted on the efficacy of the rough set approach in the context of business and finance applications. This paper extends previous research by employing a development of RST, namely the variable precision rough sets (VPRS) model, in an experiment to predict between failed and non-failed UK companies. It also utilizes the FUSINTER discretisation method which neglates the influence of an ‘expert’ opinion. The results of the VPRS analysis are compared to those generated by the classical logit and multivariate discriminant analysis, together with more closely related non-parametric decision tree methods. It is concluded that VPRS is a promising addition to existing methods in that it is a practical tool, which generates explicit probabilistic rules from a given information system, with the rules offering the decision maker informative insights into classification problems.     

Jordan's Public Policy Response to COVID-19 Pandemic: Insight and Policy Analysis

The aim of this study was to gain an understanding of how the Jordanian government has responded and continues to respond to the COVID-19 pandemic. It utilizes the interpretive policy analysis approach through document analysis. The analysis showed that Jordan created social protection policies to assist people who lost their jobs or whose work was suspended due to the coronavirus. The economic policies build solidarity and facilitate the private sector’s recovery. The health care measures firmly applied included lockdown, wearing masks, and restrictions on gatherings and public events. Jordan uses hard power and imposes sanctions on any violation that threatens the lives of others.

     

Digital Finance and FinTech: current research and future research directions

Since decades, the financial industry has experienced a continuous evolution in service delivery due to digitalization. This evolution is characterized by expanded connectivity and enhanced speed of information processing both at the customer interface and in back-office processes. Recently, there has been a shift in the focus of digitalization from improving the delivery of traditional tasks to introducing fundamentally new business opportunities and models for financial service companies. Digital Finance encompasses a magnitude of new financial products, financial businesses, finance-related software, and novel forms of customer communication and interaction—delivered by FinTech companies and innovative financial service providers. Against this backdrop, the research on finance and information systems has started to analyze these changes and the impact of digital progress on the financial sector. Therefore, this article reviews the current state of research in Digital Finance that deals with these novel and innovative business functions. Moreover, it gives an outlook on potential future research directions. As a conceptual basis for reviewing this field, the Digital Finance Cube, which embraces three key dimensions of Digital Finance and FinTech, i.e., the respective business functions, the technologies and technological concepts applied as well as the institutions concerned, is introduced. This conceptualization supports researchers and practitioners when orientating in the field of Digital Finance, allows for the arrangement of academic research relatively to each other, and enables for the revelation of the gaps in research.     

Does Iconicity in Pictographs Matter? The Influence of Iconicity and Numeracy on Information Processing,Decision Making,and Liking in an Eye‐Tracking Study

Researchers recommend the use of pictographs in medical risk communication to improve people's risk comprehension and decision making. However, it is not yet clear whether the iconicity used in pictographs to convey risk information influences individuals’ information processing and comprehension. In an eye‐tracking experiment with participants from the general population (N = 188), we examined whether specific types of pictograph icons influence the processing strategy viewers use to extract numerical information. In addition, we examined the effect of iconicity and numeracy on probability estimation, recall, and icon liking. This experiment used a 2 (iconicity: blocks vs. restroom icons) × 2 (scenario: medical vs. nonmedical) between‐subject design. Numeracy had a significant effect on information processing strategy, but we found no effect of iconicity or scenario. Results indicated that both icon types enabled high and low numerates to use their default way of processing and extracting the gist of the message from the pictorial risk communication format: high numerates counted icons, whereas low numerates used large‐area processing. There was no effect of iconicity in the probability estimation. However, people who saw restroom icons had a higher probability of correctly recalling the exact risk level. Iconicity had no effect on icon liking. Although the effects are small, our findings suggest that person‐like restroom icons in pictographs seem to have some advantages for risk communication. Specifically, in nonpersonalized prevention brochures, person‐like restroom icons may maintain reader motivation for processing the risk information.