A study on motivation differences among traditional festival visitors based on demographic characteristics,case study: Gol-Ghaltan festival,Iran

Villages and cities have a growing tendency to share their culture and nature with tourists by developing events. This article aims to identify motivational factors influencing visitors' attendance in traditional festivals and then analyzing significant motivation differences among visitors based on their demographic differences. The statistical sample is domestic tourists who visited the 8th Gol-Ghaltan Festival, Iran in 2015. The convenience sampling method has been used and 287 acceptable questionnaires were acquired. Factor analysis has determined six important motivational factors, including “Gol-Ghaltan and Family,” “Cultural Exploration,” “Socialization,” “Supporting Local Community and Heritage,” “Event Novelty,” and “Escape.” Most of these factors are coinciding with previous literature on cultural events except first and fourth factors. Results of T-test and ANOVA show that visitors in various demographic groups have significant differences in the motivational factors. Finally, in accordance with the findings of the research, practical suggestions are presented for managers and marketers of this event.     

Preliminary test estimators of the parameters of simple linear model with measurement error

In this paper, we discuss the properties of preliminary test estimators (PTE) of the parameters of simple linear model with measurement error (ME model) when the slope of the linear model is suspected to be zero. Expressions of the bias, MSE and efficiencies are obtained under conditional as well as unconditional situations with known reliability coefficient. Conditional model results are compared to the standard model without measurement error. We also provide the unconditional model analysis in finite samples. Asymptotic theory under local alternatives is developed when the variance of measurement error or the ratio of the variance of the model error relative to the variance of the measurement error is known. Asymptotic expressions of bias and MSE of the estimators along with their efficiencies are obtained. In every case, it is shown that the measurement error tend to increase the variability of the estimators compared to the estimators without measurement error. Graphs and tables are provided to see these results and to determine optimum level of significance for minimum guaranteed efficiency. Received October 2001 RID="*" ID="*"  A. K. Md. E. Saleh is a Distinguished Research Professor and H. M. Kim is a Ph.D. candidate in the School of Mathematics and Statistics, Carleton University, Ottawa. Acknowledgment. The authors gratefully acknowledge the constructive suggestion of the referees to improve the paper. The research is supported by NSERC grant A3088.     

A Survey and a Theoretical Model of Distance Education Programs

In search of a distance education programs crucial success factors, this research was conducted through a designed survey and evaluation instrument, for a predominantly doctoral program at DE University (DEU, an adopted name). Also, the survey has identified some challenging factors along with students most crucial reasons for adopting distance education programs. The author has presented a Testable theoretical model of distance education programs. The top four success factors were revealed to be program quality, general recognition and academic integrity, students satisfaction, and students progress toward the ultimate goal of graduation. Lack of time and worries about the degree recognition by prospective academic and nonacademic employers were the most crucial challenging factors.The 57th International Atlantic Economic Conference Lisbon, Portugal, March 10–14. This research is appreciably funded by a research grant from Walden University.     

Audit Firm Tenure and Audit Quality in a Constrained Market

We examine the relation between audit quality and audit firm tenure in the Iranian audit market, which is constrained by government policies that create intense competition for clients among many small audit firms. We develop arguments that these circumstances create cost pressures that entrench low audit quality and render auditors' plans more predictable to managers wishing to misstate their accounts. Using publicly available data for the audits of listed companies in Iran prior to mandatory audit firm rotation and the incidence of misstated financial reports identified by the Iranian Association of Certified Public Accountants Inspection Office, we find that the likelihood of a misstatement is lowest in the first two years of audit firm tenure. We also find that the likelihood of misstatement is not associated with the year preceding a mandatory audit firm rotation, suggesting outgoing auditor effort is not sensitive to the prospect of subsequent revelations of deficiencies. Although our results from a pre-mandatory rotation period show that frequent rotations appear to improve the financial reporting quality in our sample, we are wary of interpreting these results as support for the mandatory audit firm rotation policy in Iran. Rather, we suggest this is a peculiar consequence of deficiencies in audit quality inherent in the Iranian market.     

An Approach to Security for Unstructured Big Data

Security of Big Data is a huge concern. In a broad sense, Big Data contains two types of data: structured and unstructured. Providing security to unstructured data is more difficult than providing security to structured data. In this paper, we have developed an approach to provide adequate security to unstructured data by considering types of data and their sensitivity levels. We have reviewed the different analytics methods of Big Data to build nodes of different types of data. Each type of data has been classified to provide adequate security and enhance the overhead of the security system. To provide security to a data node, and a security suite has been designed by incorporating different security algorithms. Those security algorithms collectively form a security suite which has been interfaced with the data node. Information on data sensitivity has been collected through a survey. We have shown through several experiments on multiple computer systems with varied configurations that data classification with respect to sensitivity levels enhances the performance of the system. The experimental results show how and in what amount the designed security suite reduces overhead and increases security simultaneously.     

Does remittance fuel labour productivity in Bangladesh? The application of an asymmetric non-linear ARDL approach

Bangladesh, a labour-abundant country, is finally learning to reap gains from her labour abundance. The historical under-optimized capital–labour ratio of Bangladesh is slowly moving towards its optimum as the migration of its labour force and consequent inflow of remittance strategically converts its abundant labour into capital. Though the fear that remittance as an alternative source of earning may result in Dutch disease for existing family members; annual data for 1982–2013 and through applying standard testing methodologies, our empirical findings suggest that such a fear is not valid since remittance flow significantly improves domestic labour productivity in Bangladesh in the long run.     

Pricing Decisions in Dual-Channel Supply Chain Including Monopolistic Manufacturer and Duopolistic Retailers: A Game-Theoretic Approach

Emergence of the Internet as a new distribution channel has led to increasing attention by researchers to dual-channel supply chain in recent years. In this paper, pricing and ordering decisions are investigated on a dual-channel supply chain which consists of monopolistic manufacturer and duopolistic retailers. The market is assumed to be controlled by the manufacturer. Thus, the manufacturer becomes leader and the two retailers act as followers. Due to establishing this new structure, different game-theoretic models including Bertrand, Collusion, and Stackelberg are developed to analyze pricing strategies under the various interactions between the two retailers. Then, the equilibrium decisions are compared under the considered scenarios and valuable managerial insights are presented. We found that the various games do not have any effects on the manufacturer’s responses. The retail prices given by the Collusion game are higher than by the other games. In the Collusion model, demands in the retail channel are lower than in the other games. Moreover, the manufacturer and retailers receive respectively the lowest and the highest profits under the Collusion game.     

Minorías étnicas foráneas y determinación salarial en China

Si bien algunos estudios observan que las minorías étnicas urbanas en China perciben salarios más bajos que la mayoría han, otros no constatan la existencia de esa brecha. Para resolver esta contradicción, los autores proponen desglosar las experiencias laborales por grupo étnico minoritario. El análisis de las minorías étnicas sobre un amplio conjunto de datos indica que las «minorías foráneas», como los tibetanos y los grupos túrquicos, sufren una penalización salarial significativa cuando se controlan las covariables, pero no ocurre lo mismo con la totalidad de las minorías. Estas conclusiones son robustas en varias especificaciones y tienen importantes implicaciones teóricas y en materia de políticas.     

The Effect of Corporate Governance on Firm Stock Volatility in Asia

The authors examine whether firm corporate governance (CG) contributes to lower stock-return volatility. Using the panel data of 1,252 public listed firms in Asia across 11 countries for 15 years, the authors document international evidence that CG has a stabilizing effect on firm stock-return volatility. The authors further examine whether increasing information efficiency, reducing foreign exposure, and a lower cost of capital contribute to the stabilizing effect of firm CG on stock-return volatility. The result implies that better CG will only reduce stock-return volatility for firms that have less foreign exposure.     

Interpoint Distance Test of Homogeneity for Multivariate Mixture Models

Finite mixtures offer a rich class of distributions for modelling of a variety of random phenomena in numerous fields of study. Using the sample interpoint distances (IPDs), we propose the IPD‐test statistic for testing the hypothesis of homogeneity of mixture of multivariate power series distribution or multivariate normal distribution. We derive the distribution of the IPDs that are drawn from a finite mixture of the multivariate power series distribution and multivariate normal distribution. Based on the empirical distribution of the IPDs, we construct a bootstrap test of homogeneity for other multivariate finite mixture models. The IPD test is applied to mixture models for matrix‐valued distributions and a test of homogeneity for Wishart mixture is presented. Numerical comparisons show that IPD test has accurate type I errors and is more powerful in most multivariate cases than the expectation–maximization (EM) test and modified likelihood ratio test.