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The purpose of this study is to determine if intraday week (IDW) effect of the currencies reflect leverage and asymmetric impact in currencies market. The study data set comprises of intraday patterns of 15 currencies from developed and emerging economies.

The study applies the exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model technique to observe the IDW leverage and asymmetric effect after introducing hourly dummies variables, namely, IDWmon, IDWwed, IDWfrid and IDWfrid-mon.

The study results favor the propositions and confirm that IDW effect do exist in the international forex markets in relation to hourly trading pattern for respective currencies. Mostly, currencies do depreciate on Monday and Wednesday compared to the rest of the days. However, on the last trading day, i.e. Friday currencies observe an appreciation pattern which is for both economies. The results have an evidence of leverage and asymmetric effect confirmed by the E-GARCH model as a result of press releases and influence by micro-factors in the currency markets.

The study believes to have theoretical connection related to the better understanding of currencies trend for developed and emerging economies, as the IDW effect exists. Moreover, confirmation of both the leverage and asymmetric effect in observed currencies would be able to assist the investors in making rational choices during the trading hours and would confirm considerable profits through profit incentivized strategies.

The study not only add knowledge to the previous study work in relation to the hourly trading pattern of currencies with reference to the IDW effects but also highlights the leverage and asymmetric effect in currencies that will help in formulating future trading strategies particular to emerging economies.

This paper aims to learn about consumers’ information disclosing patterns in the mobile internet context by investigating how demographic, geographic and psychological factors influence their information disclosing willingness (IDW).

Drawing on self-disclosure theory, the authors carried out simple linear regression analyses on a Chinese sample of 10,000 participants.

The results revealed that significant gender differences exist between males and females in their IDW in mobile internet context, and females have higher IDW than males do. And the authors also found that first-tier (third tier) citizens have the lowest (highest) IDW in their mobile internet usage.

This study offers three implications. First, this paper captures the insight of IDW within the mobile internet context, while previous studies mostly focus on the desktop internet context. Second, the results show that females have higher willingness to disclose than males do in the context of mobile internet, which is different from the findings of prior studies that females have higher privacy concerns and lower disclosing willingness in the context of desktop internet. Thirdly, this research introduces city tiers as a new approach to the study of IDW, which is one of the first studies exploring the geographical effect on information privacy.

Inverse distance weighted (IDW) functions are utilized to make models of heterogenous materials such as functionally graded materials (FGM) in computer aided design (CAD). However, the use of IDW function based FGM for stress concentration reduction is scarcely available in the literature. The present work aims to analyze and reduce the stress concentration around a circular hole in IDW function-based finite FGM panel under biaxial loading.

Extended finite element method (XFEM) model was prepared using MATLAB to investigate the effect of geometrical and material parameters on the stress concentration factor (SCF). The obtained results of IDW FGM are compared with homogeneous material as well as two different FGMs based on the power-law function.

It was observed that the IDW function based FGM is simple in material modeling, conformal with all domain boundaries and shows lower stress concentration in comparison with the homogeneous material case. While comparing IDW FGM with power-law based FGMs, it was observed that the IDW FGM has least values of stress concentration for low d/W (diameter of the hole to panel width ratio) and is comparable with power-law based FGMs for high d/W.

It can be stated that IDW FGM is highly suitable for stress concentration reduction in finite panels with d/W = 0.5, which can further be intended for obtaining optimum hole and panel designs.

In a previous chapter (Klimberg, Ratick, & Smith, 2018), we introduced a novel approach in which cluster centroids were used as input data for the predictor variables of a multiple linear regression (MLR) used to forecast fleet maintenance costs. We applied this approach to a real data set and significantly improved the predictive accuracy of the MLR model. In this chapter, we develop a methodology for adjusting moving average forecasts of the future values of fleet service occurrences by interpolating those forecast values using their relative distances from cluster centroids. We illustrate and evaluate the efficacy of this approach with our previously used data set on fleet maintenance.

Construction activities, particularly related to transportation, have a considerable impact on the environment and air quality. This paper aims to present a geographic information systems (GIS) and computer‐aided design (CAD)‐based approach for visualizing, communicating and analysing greenhouse gas (GHG) emissions resulting from construction activities.

A methodology using GIS is developed to graphically represent spatial aspects of construction. The approach adopted involves use of a 3D model developed in CAD environment, which was synchronized with a construction schedule stored in Excel spreadsheets. GIS environment is used to link spatial and scheduling information relevant to GHG emissions from construction activities. A baseline was created to enable effective monitoring of construction emissions.

The presented GIS model has the potential to enhance visualisation of distribution and dynamic variations of GHG emissions and could help stakeholders better analyse and understand how construction activities impact the environment.

This paper presents a novel method of graphically presenting GHG and other hazardous air emissions from construction activities using a GIS‐based approach. The paper presents the result of comparing the 3D surface representation of simulated estimated and actual construction emissions to show the impact of construction activities on the environment to support the engineering analysis and decision‐making process.

As a consequence of the global financial and economic crisis, the European Commission recently reformed the audit market. One objective was to restore public trust in the auditing profession and thus to enhance the audit function. This study investigates whether perceptions of auditor independence and audit quality are influenced by audit firm rotation, auditor retention and joint audits, because regulators argue that these instruments can improve auditor independence and audit quality. Therefore, we conduct an experiment with bank directors and institutional investors in Germany. The results indicate a negative main effect for joint audits on perceived auditor independence, and that a rotation cycle of 24 years marginally significantly impairs participant perceptions of audit quality, compared to a rotation cycle of only ten years. Besides the main effects, planned contrast tests suggest a negative interaction between rotation and joint audit on participant perceptions of auditor independence. Moreover, a negative interaction effect is revealed between rotation after 24 years and retention on perceptions of audit quality. It is particularly noteworthy that we failed to identify a positive impact of the regulatory measures taken or supported by the European Commission on perceptions of auditor independence and audit quality.

Prosociality may in part determine sustainability behavior. Prior research indicates that pro-environmental behavior correlates with prosocial attitudes, and separately, that prosociality correlates with social support in homes and communities. Therefore, prosociality may constitute a keystone variable linking human well-being with pro-environmental behavior. The purpose of the paper is to test this conjecture.

Data from a multi-year student survey at the University of Maine on environmental behavior, prosociality and experienced social support are used. A two-stage least-squares regression is applied to explore the relationships between these variables, and sub-scale analysis of the pro-environmental responses is performed. Additionally, spatial statistics for the student population across the state are computed.

The data corroborate previous findings and indicates that social support within a community may bolster the prosociality of its members, which in turn may increase pro-environmental behaviors and intentions.

Cross-sectional data do not permit the imputation of causality. Self-reported measures of behavior may also be biased. However, student prosociality surveys may provide an effective and low-cost sustainability metric for large populations.

The results of this study corroborate prior research to suggest that pro-environmental and prosocial behaviors may both be enhanced by bolstering social support efforts at the community level.

It is suggested that prosociality could become a keystone sustainability indicator. The study’s results extend the understanding of the connections between prosociality, social support and pro-environmental behavior. The results of this study suggest that efforts to simultaneously improve the well-being and environmental status might focus on building prosociality and social support systems at the community level.

The enterprise risk management (ERM) approach promises to manage corporate risks holistically, as opposed to the silo perspective in traditional risk management frameworks. There is evidence that different economic and regulatory environments profoundly shape the implementation of ERM in different countries. To understand better the specific situation in Germany, this chapter presents an analysis on the current application, the regulatory environment, and the development over time of ERM in Germany. Finally, we highlight some important avenues for further research on ERM in Germany and beyond.