An utility-based decision support sustainability model in slow steaming maritime operations

This paper analyses slow steaming sustainability initiatives and generalizes the traditional discrete cost-based decision support model into novel continuous utility-based models. Two models based on logarithmic and linear utility functions are developed for risk-averse and risk-neutral decision makers respectively. The models, considering fuel consumption, carbon emission, and on time delivery, are applied to a Trans-pacific trade service route. A sensitivity analysis is conducted on parameters of sailing distance, expected transit time, quantity, and emission policies. The model contributes to ship liners on the optimal speed decisions in continuous utility-based slow steaming operations.     

Working the skies: Changing representations of gendered work in the airline industry, 1930–2011

The influence of the media, whether print, celluloid or contemporary electronic, on life and career choices, particularly from a gender perspective is well documented. Indeed, the power of today’s e-media imagery has, arguably, a more ubiquitous influence on such decisions than was in the case for previous generations. However, both traditional print and more contemporary media influencers remain important and, therefore, gaining an understanding of their role in the representation of gendered work, both historically and in a modern context, is of considerable value. Working in the sky, whether as a pilot or member of the cabin crew, continues to hold a fascination and attraction for potential entrants that far exceeds the technical demands or financial rewards of the reality of such work. Perceived as ‘glamorous’ work since the early days of commercial flight in the 1930s, this tag has largely remained, despite major changes to the business and workplace environment in the intervening years. Commercial aviation is an area of work that has inspired a genre of influential romantic literature and numerous ‘real-life’ recollections alongside serious academic analysis. This paper charts the representation of, in particular, female flight attendant work from its ‘golden era’ through to the present context where the influence of the low-cost airline model has radically impacted upon the working environment within the sector. The discussion focuses on the broad ‘genre’ of airline-related employment literature, drawing on romantic, comic and biographical accounts alongside sources that address this theme from academic/research perspectives, in order to ask whether contemporary representation is any more a true reflection of this work than that during previous generations. In undertaking this analysis, this paper draws upon the role and career representation literature, particularly with respect to embodied and gendered work.     

基于纳税遵从理论的纳税遵从影响因素分析

提高纳税遵从度是稳定国家税收的重要保障,分析影响纳税遵从的因素,有助于提高纳税遵从度。本文从国内外研究纳税遵从的理论入手,从预期理论、前景理论、公共物品理论、公平理论、信息经济学、新公共管理主义、新制度经济学几个方面,找出影响纳税遵从的各项因素。     

Different rooms,different voices: double-breasting,multi-channel representation and the managerial agenda

Double-breasting has been identified as where companies run union voice and non-union voice mechanisms across different plants. While research has focused on the incidence of such arrangements, there is a dearth of evidence into the dynamics of it. This article seeks to complement existing research by examining the contours of double-breasting in a case study organisation. The findings suggest that more research is necessary into the dynamics of double-breasting in terms of how voice in sites affects each other and the extent to which running different regimes affects the managerial agenda.     

The relationship between expected utility and higher moments for distributions captured by the Gram–Charlier class

In this letter we derive the closed form solution for expected utility in terms of higher moments of the distribution of wealth when expected utility takes the CARA form and the distribution of wealth is captured by the Gram–Charlier class of distributions. We derive the condition under which positive skewness can be associated with a decrease in expected utility.     

一个实用的同步时钟及病毒告警内存驻留程序

本文介绍的是一个实用的微机应用程序。它可以在不影响用户正常使用微机及运行程序的前提下,在文本或图形方式均能同步地在屏幕上显示时钟,并且具有时实病毒告警功能。本文通过该实用程序也讨论了内存驻留程序的编写技巧和具体实现办法。     

Asymmetric Information in Fads Models

Fads models were introduced by Shiller (Am Econ Rev 71:421–436, 1981) and Summers (J Finance 41:591–601, 1986) as plausible alternatives to the efficient markets/constant expected returns assumptions. Under these models, logarithms of asset prices embody both a martingale component, with permanent shocks, and a stationary component, with temporary shocks. We study a continuous-time version of these models both from the point of view of informed agents, who observe both fundamental and market values, and from that of uninformed agents, who only observe market prices. We specify the asset price in the larger filtration of the informed agent, and then derive its decomposition in the smaller filtration of the uninformed agent using the Hitsuda representation of Gaussian processes. For uninformed agents we obtain a non-Markovian dynamics, which justifies the use of technical analysis in optimal trading strategies. For both types of agents, we solve the problem of maximization of expected logarithmic utility from terminal wealth, and obtain an explicit formula for the additional logarithmic utility of informed agents. Finally, we apply the decomposition result to the problem of testing the presence of fads from market data. An application to the NYSE-AMEX indices from the CRSP database shows that, if the fads component prevails, then the mean-reversion speed must be slow.     

Fuzzy Numbers in the Credit Rating of Enterprise Financial Condition

Most of the parameters used to describe the credit rating are in linguistic terms, which are vague and difficult to put into precise numerical values. Fuzzy set theory, which was developed to handle this kind of vagueness, is used to represent and to aggregate the various linguistic data usually used in commercial banks. To illustrate the approach, numerical examples are solved and compared with existing approaches.     

Bayesian time series analysis of periodic behaviour and spectral structure

Analysis, model selection and forecasting in univariate time series models can be routinely carried out for models in which the model order is relatively small. Under an ARMA assumption, classical estimation, model selection and forecasting can be routinely implemented with the Box–Jenkins time domain representation. However, this approach becomes at best prohibitive and at worst impossible when the model order is high. In particular, the standard assumption of stationarity imposes constraints on the parameter space that are increasingly complex. One solution within the pure AR domain is the latent root factorization in which the characteristic polynomial of the AR model is factorized in the complex domain, and where inference questions of interest and their solution are expressed in terms of the implied (reciprocal) complex roots; by allowing for unit roots, this factorization can identify any sustained periodic components. In this paper, as an alternative to identifying periodic behaviour, we concentrate on frequency domain inference and parameterize the spectrum in terms of the reciprocal roots, and, in addition, incorporate Gegenbauer components. We discuss a Bayesian solution to the various inference problems associated with model selection involving a Markov chain Monte Carlo (MCMC) analysis. One key development presented is a new approach to forecasting that utilizes a Metropolis step to obtain predictions in the time domain even though inference is being carried out in the frequency domain. This approach provides a more complete Bayesian solution to forecasting for ARMA models than the traditional approach that truncates the infinite AR representation, and extends naturally to Gegenbauer ARMA and fractionally differenced models.