Journal of Contemporary Issues in Business Research

ISSN 2305-8277
Table of Contents: Vol. 1, Issue No. 2, November 2012 Volume 1, Issue 2, November 2012

Research Articles

MAKING 360-DEGREE FEEDBACK EFFECTIVE

Author(s): CHAU SO LING

Abstract:Organizational performance is of paramount importance in today’s competitive business world. To prosper and grow, organizations need constant improvement in their performance. This implies performance management and performance appraisal play an essential role in improving organizational performance. Managers have been exploring ways to improve the efficacy of performance appraisal and there is a growing use of 360-degree feedback. This paper attempts to review from the literature the key basic concepts of 360-degree feedback including its purposes as well as potential benefits and problems, discussion on related critical issues in a comprehensive manner. Several major issues are: (1) the number of rater sources that should be included, (2) how feedback should be used, (3) whether ratings should remain anonymous, (4) whether feedback is effective, (5) the reliability issue, and (6) whether it is easy to implement such a system in Hong Kong. Concluding remarks and direction for future research will be provided in the last part.

[Compelete Article-pdf]   [pp: 18-26]   Article first published online: November 2012

IMPLEMENTATION OF INFORMATION RETRIEVAL (IR) ALGORITHM FOR CLOUD COMPUTING: A COMPARATIVE STUDY BETWEEN WITH AND WITHOUT MAPREDUCE MECHANISM

Author(s): RIKTESH SRIVASTASA

Abstract:The procedure of Information Retrieval (IR)algorithmappears disingenuously modest when observed from the viewpoint of terminological explanation. However, the implementation mechanism of the IR Algorithm is quite complicated and particularly when implemented to gratify the definite organizational requirements. In this research, the Information Retrieval Algorithm is developed using the MapReduce mechanism to retrieve the information in a Cloud computing environment. The MapReduce algorithm was developed by Google for experimental evaluations. In the present study, the algorithm portrays the results in terms of number of buckets required to generate the output from the large chunk of data in Cloud computing. The algorithm is the part of the complete Business Intelligence tool to be implemented and the results to be delivered for Cloud computing architecture.

Keywords:IR Algorithm; Cloud computing; MapReduce; Business intelligence; Name nodes; Data nodes; Main server; Secondary server; Database server.

[Compelete Article-pdf]   [pp: 27-36]   Article first published online: November 2012

A UNIVARIATE TIME SERIES MODELLING OF DATES EXPORTS IN PAKISTAN‏

Author(s): FARAH NAZ

Abstract:Export plays a significant role in the economic growth of a country. Increase in export led to an increase in production and ultimate outcome is economic growth. The purpose of this study was to build a forecast model meant for the Exports of Dates in Pakistan for the next 15 years. The yearly data of dates export for the period 1962-2008 was used based on the assumptions that past trends (area planted and yield) and existence of normal weather pattern will hold. The Box-Jenkins methodology was taken as an appropriate set of Autoregressive integrated Moving Average (ARIMA) models that were constructed for future forecast of date exports of Pakistan. The final results of ARIMA showed that date exports of Pakistan provided better results in upward trend for future. Besides this, model selection criteria includes e.g. AIC, SIC, BIC, MAPE and RMSE were used.

Keywords:ARIMA model; Box-Jenkins methodology; Dates; Exports; Forecasting, Pakistan, Time series modeling.

[Compelete Article-pdf]   [pp: 37-48]   Article first published online: November 2012

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