Application of ANFIS to exchange rate forecasting

The need of exchange rate forecasting in order to preventing its disruptive movements has engrossed many policy-makers and economists for many years. The determinants of exchange rate have grown manifold making its behavior complex, nonlinear and volatile so that nonlinear models have better performance for its forecasting. In this study the accuracy of ANFIS as the nonlinear model and ARIMA as the linear models for forecasting 2, 4 and 8 days ahead of daily Iran Rial/∈ and Rial/US$ was compared. Using forecast evaluation criteria we found that nonlinear model outperforms linear model in all three horizons.     

A gossip based information fusion protocol for distributed frequent itemset mining

The computational complexity, huge memory space requirement, and time-consuming nature of frequent pattern mining process are the most important motivations for distribution and parallelization of this mining process. On the other hand, the emergence of distributed computational and operational environments, which causes the production and maintenance of data on different distributed data sources, makes the parallelization and distribution of the knowledge discovery process inevitable. In this paper, a gossip based distributed itemset mining (GDIM) algorithm is proposed to extract frequent itemsets, which are special types of frequent patterns, in a wireless sensor network environment. In this algorithm, local frequent itemsets of each sensor are extracted using a bit-wise horizontal approach (LHPM) from the nodes which are clustered using a leach-based protocol. Heads of clusters exploit a gossip based protocol in order to communicate each other to find the patterns which their global support is equal to or more than the specified support threshold. Experimental results show that the proposed algorithm outperforms the best existing gossip based algorithm in term of execution time.     

Environmental determinants of U.S. foreign direct investment in developed and developing countries: A structural analysis

This study attempts to explain theoretically and empirically the influence of developed and developing countries’ environments on foreign direct investment from the United States. It is postulated that foreign direct investment into these economies can be explained by examining interactions among three environmental constructs: technological development, quality of life, and political instability. A structural equation model is developed to test the concurrent and longitudinal influence of the three environmental constructs on foreign direct investment into these economies from the United States.     

AN APPLICATION OF ACTIVITY BASED COSTING IN THE AIR CONDITIONER MANUFACTURING INDUSTRY

AIRCO is a manufacturer of industrial air conditioner units whose management is concerned that their current traditional cost accounting (TCA) system is not accurately representing their product cost behavior. Under certain operating conditions, an activity based costing (ABC) system can provide relevant and accurate indirect cost information that assists in making customer, product, and process improvement decisions. An ABC system was successfully developed for AIRCO that indicated that their products do not consume overhead costs on a volume basis as represented by their current TCA system. Valuable product and process information were obtained. This case study details the development process that was used and the results that were obtained during the ABC analysis.     

Credit constraints and smallholder dairy production in the East African highlands: application of a switching regression model

Accurate assessment of farmers' credit constraint condition is important in order to understand the circumstances under which credit would have its greatest impact. In this study a switching regression model was used to determine the impact of credit on smallholder dairy farms in the East African highlands using farm level data from Ethiopia and Kenya. Farmers were classified as credit constrained or credit non-constrained based on their responses from the farm level surveys. No consistent relationship was found between farmers' credit constraint condition and their borrowing status. Most of the variation in milk output per farm was explained by the number of crossbred milking cows in the dairy herd. As credit is likely to facilitate investment in crossbred dairy cows it will have substantial impacts on smallholder dairy farms especially if it is targeted to credit constrained farms.     

Empirical Tests of the Proxy Hypothesis

The proxy hypothesis states that the negative relationship between inflation and stock returns is spurious and really only proxies for the positive relationship between stock returns and real variables. Previous testes of the proxy hypothesis have used actual values instead of forecasted values for the real activity variable. Using only forecasted variables, our results do not support the proxy hypothesis.     

Exploring the Ethical Identity of Islamic Banks via Communication in Annual Reports

Islamic Banks (IBs) are considered as having ethical identity, since the foundation of their business philosophy is closely tied to religion. In this article, we explore whether any discrepancy exists between the communicated (based on information disclosed in the annual reports) and ideal (disclosure of information deemed vital based on the Islamic ethical business framework) ethical identities and we measure this by what we have termed the Ethical Identity Index (EII). Our longitudinal survey results over a 3-year period indicate the overall mean EII of only one IB out of seven surveyed to be above average. The remaining six IBs suffer from disparity between the communicated and ideal ethical identities. We further found the largest incongruence to be related to four dimensions: commitments to society; disclosure of corporate vision and mission; contribution to and management of zakah, charity and benevolent loans; and information regarding top management. The results have important implications for communication management if IBs are to enhance their image and reputation in society as well as to remain competitive. Roszaini Haniffa is a Senior Lecturer and Head of Accounting and Finance at the Bradford University School of Management. She holds a PhD from Exeter University and has published papers in Abacus, Journal of Accounting and Public Policy, Journal of Business Finance and Accounting and other journals. Her research interests focus on social responsibility reporting, corporate governance, international accounting and the Islamic perspective of accounting. Ros has reviewed papers and is a member on the editorial board of several journals. Mohammad Hudaib is a Lecturer in Accounting at the Bradford University School of Management and holds a PhD from Essex University. He has previously taught at Exeter University and prior to his teaching career, was an auditor in Saudi Arabia. He has published papers on auditing and corporate governance in Journal of Business Finance and Accounting. His current research interests include auditing, Islamic perspective of accounting, accounting theory and ethics.     

Understanding communal and individual customer experiences in group-oriented event tourism: an activity theory perspective

ABSTRACT

The purpose of this study, grounded in activity theory, is to empirically investigate the communal and individual mechanisms that simultaneously shape the customer experience in group-oriented event tourism. Based on a survey of 389 respondents with group travel experience to major events, the results confirm the research model, suggesting that the customer-experience construct constitutes a multidimensional structure comprising second-order components reflecting individual and communal experiences, with each containing first-order constructs. The results further confirm that the customer-experience construct predicts post-consumption evaluations of perceived value and satisfaction. Limitations of the study are outlined, and implications for research and managerial practice for the creation of customer experiences that are valuable and satisfying for group-travel consumers to events are discussed.     

Determinants of corporate social disclosure: Empirical evidence from Bangladesh

We explore the potential firm and industry characteristics that determine the corporate social responsibility (CSR) disclosure practises by Bangladeshi listed firms. We use a CSR disclosure checklist to measure the extent of CSR disclosure in the annual reports and a multiple regression analysis to examine the determinants of CSR disclosure. Our study finds that CSR disclosure has positive and significant relationships with export-oriented sector, firm size and types of industries. We also find a negative relationship between CSR disclosure and family ownership. The overall findings of our study provide empirical evidence which suggests that a number of firm and industry characteristics are important determinants of the extent of CSR disclosures in a developing country like Bangladesh. Our findings can help the policy makers to adopt necessary regulatory reform to improve the CSR practises and enhance organisational legitimacy.