Book Reviews : INFORMATION SYSTEMS: DATA PROCESSING AND EVALUATION. Gene Dipple and William C. House. Glenview, Ill., Scott, Foresman, 1969

1971 ◽  
Vol 8 (3) ◽  
pp. 50-52
Author(s):  
Norman F. Kallaus
2018 ◽  
Vol 40 (2) ◽  
pp. 89-91
Author(s):  
Jay A. Soled

In each issue, JATA publishes reviews of textbooks and other books of interest to tax scholars. All book reviews are solicited by the Associate Editor. However, if you know of a book that you would like reviewed, or if you are interested in reviewing a book, please contact the Associate Editor. The Associate Editor is: Jay A. Soled Department of Accounting and Information Systems Rutgers University 1 Washington Park Newark, New Jersey 07102 Phone: (973) 353-1727 Fax: (973) 375-1283 Email: [email protected]


10.28945/2980 ◽  
2006 ◽  
Author(s):  
Yair Levy ◽  
Timothy J. Ellis

This paper introduces an initial effort towards developing a framework for writing an effective literature review. The target audience for the framework are novice IS researchers or other researchers who are constantly struggling with the development of an effective literature-based foundation for the proposed research. The proposed framework follows the systematic data processing approach comprised of three major stages: 1) inputs (literature gathering and screening), 2) processing (Blooms Taxonomy), and 3) outputs (writing the review). This paper provides the rationale for developing a solid literature review and addresses the central stage, processing the literature. The paper concludes by providing arguments for the value of an effective literature review as well as implications for future work in this proposed framework.


2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Muhamad Alda

The population data is the data have to be in record in any office the villages around. With the citizens data , the village office can do monitoring inhabitant of which is found in the neighborhood. So far, the village office sampean kecamatan sungai kanan kabupaten labuhan batu selatan, north sumatra still use application desktop in doing processing the population data that is use application microsoft excel .In such a manner as there are still several problems and the obstacles, especially time and energy issued when their distribution data population in parties in need by the village office sampean. The purpose of he did this research is to design and construct information system the population data processing based android. With the information systems that in designed by the writer, is expected to help parties the village office sampean in doing processing the population data and do distribution the population data easily And rapidly through a smartphone android. Information system built by using application kodular and a database airtable


2021 ◽  
Vol 51 (3) ◽  
pp. 242-244
Author(s):  
Wenjing Shen

In Book Reviews, we review an extensive and diverse range of books. They cover theory and applications in operations research, statistics, management science, econometrics, mathematics, computers, and information systems. In addition, we include books in other fields that emphasize technical applications. The editor will be pleased to receive an email from those willing to review a book, with an indication of specific areas of interest. If you are aware of a specific book that you would like to review, or that you think should be reviewed, please contact the editor. The following books are reviewed in this issue of INFORMS Journal on Applied Analytics, 51(3), May–June: Optimization and Control for Systems in the Big-Data Era: Theory and Applications, Tsan-Ming Choi, Jianjun Gao, James H. Lambert, Chi-Kong Ng, Jun Wang; Pricing Lives: Guideposts for a Safer Society, W. Kip Viscusi.


Author(s):  
Maria Vardaki

The term metadata is frequently considered in many different sciences. Statistical metadata is a term generally used to denote data about data. Modern statistical information systems (SIS) use metadata templates or complex object-oriented metadata models, making an extensive and active usage of metadata.


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