Using integrated quality assessment for hotel service quality

In the age of growing foreign tourism, providing excellent quality service at hotels is increasingly more important. Service quality and customer satisfaction have gradually been recognized as key factors used to gain competitive advantage and customer retention. Most companies conducted satisfaction surveys of their customers, with a view of using analysed results to identify attributes of potential improvement. However, this kind improvement decisions on the attributes with a lower satisfaction level needs not to be appropriated. Thus, to achieve higher levels of overall satisfaction with the hotel experience, this study combined four simple methods, including Kano’s model, refined Kano’s model, Importance-Satisfaction model, and the Improvement index, to evaluate two types of hotels. The integrated approach of service quality measurement is based on the importance and satisfaction survey of the quality attributes. The survey, with 24 attributes and service items, were administrated to a random sample of 400 customers at one business hotel and one resort hotel in Taiwan. The strategies of these two kinds of hotels were compared and discussed in this study. On the basis of the key quality attributes identified by employing the integrated approach, which are significantly different from those identified on the basis of a simple satisfaction survey, hotels can make appropriate decisions on specific areas for improvement to further enhance the hotel service quality in Taiwan.     

Least Squares Asymptotics in Spurious and Cointegrated Panel Regressions with Common and Idiosyncratic Stochastic Trends*

This article makes an analytical study of the effects of the presence of both common and idiosyncratic stochastic trends on the pooled least squares estimator. The results suggest that the usual result of asymptotic normality depends critically on the absence of the common stochastic trend.     

WHAT MAKES A GREAT JOURNAL GREAT IN ECONOMICS? THE SINGER NOT THE SONG

Abstract This paper analyses what makes a great journal great in economics. Alternative research assessment measures (RAM) are discussed, with an emphasis on the Thomson Reuters Institute for Scientific Information (ISI) Web of Science database. ISI RAM that are calculated annually or updated daily are defined, including the classic 2‐year impact factor (2YIF), 5‐year impact factor (5YIF), immediacy (zero‐year impact factor (0YIF)), eigenfactor score, article influence, citation performance per paper online, h‐index, Zinfluence, PI‐BETA (papers ignored ‐ by even the authors) and two new RAM measures, self‐citation threshold approval rating and impact factor inflation. The data are analysed for the most highly cited journals in economics, management, business and business–finance on the basis of 2YIF. In addition to evaluating research in the most highly cited journals in economics, management, business and business–finance, the paper evaluates alternative RAM, highlights similarities and differences in RAM criteria, finds that several RAM capture similar performance characteristics, and finds that immediacy and PI‐BETA are not highly correlated with other RAM. Harmonic mean rankings of the 12 RAM criteria are also presented. Emphasizing 2YIF to the exclusion of other useful RAM criteria can lead to a distorted evaluation of journal performance and influence.     

Properties of Census Dual System Population Size Estimators

We study parametric and non‐parametric approaches for assessing the accuracy and coverage of a population census based on dual system surveys. The two parametric approaches being considered are post‐stratification and logistic regression, which have been or will be implemented for the US Census dual system surveys. We show that the parametric model‐based approaches are generally biased unless the model is correctly specified. We then study a local post‐stratification approach based on a non‐parametric kernel estimate of the Census enumeration functions. We illustrate that the non‐parametric approach avoids the risk of model mis‐specification and is consistent under relatively weak conditions. The performances of these estimators are evaluated numerically via simulation studies and an empirical analysis based on the 2000 US Census post‐enumeration survey data.     

Fertility and female employment dynamics in Europe: the effect of using alternative econometric modeling assumptions

We investigate the direct and long‐run effects of fertility on employment in Europe, estimating dynamic models of labor supply under different assumptions regarding the exogeneity of fertility and modeling assumptions related to initial conditions, unobserved heterogeneity and serial correlation in the error terms. We find overall large direct and long‐run effects of giving birth on employment probabilities, and these effects differ considerably across countries. We find that within countries the results are sensitive to the statistical assumption made on initial conditions, the inclusion of serial correlation and the assumption of strict exogeneity of children. However, the pattern across countries is robust to these assumptions. We show that such patterns are largely consistent with prevailing institutional differences related to the flexibility of the labor markets and family policies. Copyright © 2009 John Wiley & Sons, Ltd.     

Regime shifts in stock–flow I(2)–I(1) systems: the case of US fiscal sustainability

In the last two decades, fiscal sustainability has been tested through the use of non‐stationary time series analysis. Two different approximations can be found in the literature: first, a univariate approach that has focused on the stochastic properties of the stock of debt and, second, a multivariate one that has focused on the long‐run properties of the flows of expenditures and revenues, i.e., in the stochastic properties of the deficit. In this paper we unify these approaches considering the stock–flow system that fiscal variables configure. Our approach involves working in an I(2) stochastic processes framework. Given the possibility of the existence of regime shifts in the sustainability of US deficit that the literature has pointed out, we develop a new statistic that can be applied to test several types of I(2) cointegration and multicointegration relationships allowing for regime shifts. To test for these kinds of changing long‐run relationships we propose the use of a residual‐based Dickey–Fuller class of statistic that accounts for one structural break. We show that consistent estimates of the break fraction can be obtained through the minimization of the sum of squared residuals when there is I(2) cointegration. The finite sample performance of the proposed statistic is investigated by Monte Carlo simulations. The econometric methodology is applied to assess whether the US fiscal deficit and debt are sustainable. Copyright © 2010 John Wiley & Sons, Ltd.     

Business strategies and the transition to low‐carbon cities

Cities are key drivers of global climate change, with the majority of greenhouse gas (GHG) emissions being tied to urban life. Local actions to mitigate and adapt to climate change are essential for stabilization of the global climate and can also help to address other urban ecological problems such as pollution, decreasing biodiversity, etc. Companies are important urban actors in the development of low‐carbon cities because they provide a multitude of goods and services to city populations and directly influence urban carbon dioxide (CO₂) emissions. This is a new area of research. While studies on corporate sustainability are numerous, there is little, if any, existing research that examines the role of companies in climate change adaptation and mitigation within specific urban areas. Urban ecologists also have not examined how corporate activity affects urban systems. Taking a multi‐disciplinary systems approach, we present a conceptual model of the role of companies in managing urban interactions with the climate system. We also present empirical findings illustrating how one company ‘partners’ with the city of Rotterdam to test electric vehicles as a pilot project for urban climate adaptation and mitigation. Copyright © 2010 John Wiley & Sons, Ltd and ERP Environment.     

Stakeholder Engagement: Defining Strategic Advantage for Sustainable Construction

Although sustainable development is increasingly becoming a part of business plans, it is unclear what makes the economic, social and environmental dynamics strategically compatible. This research examines which of the following in sustainable development – government policy, managerial attitude and stakeholder engagement – is the most influential on the profitability of companies in the UK construction sector. Quantitative and qualitative analyses were rendered through a survey and semi‐structured interviews. Patterns of ambiguity in legislation were discovered as an obstacle for changing the sector's mind‐set. Stakeholder engagement was identified as the defining factor increasing managers' awareness, helping legislation to be effectively implemented and making sustainability highly appealing to clients. These findings indicate that to gain competitive advantage, companies should embark on long‐term strategic alliances which adopt the proposals of environmental non‐governmental organisations and closely follow public opinion. This, strengthens brand equity, allows for premium pricing, increases market share and maximizes profit. Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment.     

Intra‐firm differentiation of compensation systems: evidence from US high‐technology firms

While scholars have long recognised the influence of firm decisions on aspects of compensation (e.g. pay level and pay mix), prior compensation studies offer an ambiguous understanding regarding their scope. Some studies argue that firms customise compensation decisions according to employee groups, whereas others assume that firm compensation decisions apply uniformly throughout a firm. To address this research gap, the current study analyses pay levels and pay mixes for R&D employees and administrative employees in US high‐technology firms. Our empirical analyses show that firms make distinct compensation decisions for these two job families, but these decisions are ultimately consistent. These findings highlight firms' intention to strike a balance between customising compensation systems according to employee groups and maintaining internal consistency. Our findings add interesting insights to the strategic HRM and talent management literatures, which claim that firms should differentiate among employees when designing HRM systems.     

Accounting Discretion in Goodwill Impairments: UK Evidence

This study examines managers’ use of discretion in determining goodwill impairment losses following the mandatory adoption of IFRS 3 “Business Combinations,” and whether this discretion reflects opportunistic reporting by managers or the provision of their private information. Although IFRS 3 was issued to improve the accounting treatment for goodwill and provide users with more useful and value‐relevant information regarding the underlying economic value of goodwill, it has been criticized on the grounds of the managerial discretion inherent in impairment testing. Therefore, ex‐ante, it is unclear how the impairment‐only approach has affected the reporting of goodwill impairment losses. After controlling for economic factors, empirical results reveal that managers are exercising discretion in the reporting of goodwill impairments following the adoption of IFRS 3. Specifically, goodwill impairments are more likely to be associated with recent CEO changes, income smoothing and “big bath” reporting behaviors. However, the results also indicate that goodwill impairments are strongly associated with effective governance mechanisms suggesting that managers are more likely to be exercising their accounting discretion to convey their private information about the underlying performance of the firm rather than acting opportunistically. These inferences are robust to various modeling specifications and variable definitions, suggesting that IFRS 3 has provided managers with a framework to reliably convey their private information about future cash flows consistent with the IASB's objectives in developing the impairment standard.