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Information Process Reengineering Based on the Principle of Data Farming
Received date: 2015-10-28
Revised date: 2015-12-06
Online published: 2015-12-20
[Purpose/significance] In view of deficiencies of current information consulting service, such as complexity of consulting problem analysis, uncertainty of decision options, and delay of consulting effect evaluation, the consulting service effect can be improved by setting up a set of information consulting process to guide the library to provide better information consulting service.[Method/process] The technical concept of data farming is introduced into the traditional consultation procedure. Combined with characteristics of the technique, such as simulation, cycled exploration and collaboration, a series of consultation procedures are tried to be built, which include "data sowing", "data fertilizing", "data farming", "data cultivating", and "data harvesting".[Result/conclusion] The simulation results of the process under the technical concept of data farming show that after introducing the technical concept of data farming, the consulting process applies uncertain data, enriches the consulting result, improves selection and evaluation of the optimal consulting effect, and provides beneficial reference for study and practice of consulting service.
Key words： information consultation; consultation procedure; data farming
Liu Baorui , Guo Hongxiao . Information Process Reengineering Based on the Principle of Data Farming[J]. Library and Information Service, 2015 , 59(24) : 33 -38 . DOI: 10.13266/j.issn.0252-3116.2015.24.005
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