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.     

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.     

The Introduction of Derivatives on the Dow Jones Industrial Average and Their Impact on the Volatility of Component Stocks

This article examines the impact of trading in the Dow Jones Industrial Average (DJIA) index futures and futures options on the conditional volatility of component stocks. It investigates the contention that the introduction of futures and futures options on the DJIA could increase volatility in the 30 stocks comprising the DJIA. The conditional volatility of intraday returns for each stock before and after the introduction of derivatives is estimated with the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model. Estimated parameters of conditional volatility in prefutures and postfutures periods are then compared to determine if the estimated parameters have changed significantly after the introduction of the various derivatives. The results suggest that the introduction of index futures and futures options on the DJIA has produced no structural changes in the conditional volatility of component stocks. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 633–653, 2001     

Production Efficiency of Jasmine Rice Producers in Northern and North‐eastern Thailand

The paper jointly evaluates the determinants of switching to Jasmine rice and its productivity while allowing for production inefficiency at the level of individual producers. Model diagnostics reveal that serious selection bias exists, justifying use of a sample selection framework in stochastic frontier models. Results from the probit variety selection equation reveal that gross return (mainly powered by significantly higher Jasmine rice price), access to irrigation and education are the important determinants of choosing Jasmine rice. Results from the stochastic production frontier reveal that land, irrigation and fertilisers are the significant determinants of Jasmine rice productivity. Significantly lower productivity in Phitsanulok and Tung Gula Rong Hai provinces demonstrate the influence of biophysical and environmental factors on productivity performance. The mean level of technical efficiency is estimated at 0.63 suggesting that 59% [(100 ? 63)/63] of the productivity is lost due to technical inefficiency. Policy implications include measures to keep Jasmine rice price high, increase access to irrigation and fertiliser availability, as well as investment in education targeted to farm households which will synergistically increase adoption of Jasmine rice as well as farm productivity.     

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.