Corporate memory in the ecotourism: a rough set base

Authors:
Chun-Che Huang;Ruo-Yin Wong;Zih-Rong Su
Affiliations:
National Chi Nan University, Taiwan, ROC;National Chi Nan University, Taiwan, ROC;National Chi Nan University, Taiwan, ROC
Venue:
Proceedings of the 14th Annual International Conference on Electronic Commerce
Year:
2012

Citing 8
Cited 0

Building an electronic community system

Journal of Management Information Systems
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining
A Research Framework for Empirical Studies in Organizational Memory

HICSS '96 Proceedings of the 29th Hawaii International Conference on System Sciences Volume 3: Collaboration Systems and Technology
Business concepts ontology for an enterprise performance and competences monitoring

Computers in Industry
Evaluating industry performance using extracted RGR rules based on feature selection and rough sets classifier

Expert Systems with Applications: An International Journal
Service Oriented Architecture for Cloud Based Travel Reservation Software as a Service

CLOUD '09 Proceedings of the 2009 IEEE International Conference on Cloud Computing
Local reduction of decision system with fuzzy rough sets

Fuzzy Sets and Systems
Minimizing time risk in on-line bidding: An adaptive information retrieval based approach

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Corporate memory (CM) is a major asset of any modern organization, and provides the company the special edge that makes it more competitive. Up to date, CM has not been applied to tourism, whose environmental change is rapid in both the supply environment and ecotourist behavior. In addition, the ecotourism often possesses numerous qualitative data. The qualitative nature of the data makes them difficult to analyze by standard statistical techniques. The rough set approach is one of the approaches that are suitable for processing qualitative information. The rough set theory offers a large collection of tools for knowledge discovery from data by computing the most relevant sets of attributes called reducts. In this paper, corporate memory in an organization uses the rough set as an approach to mine data due to the qualitative nature in ecotourism. A rough set based corporate memory is proposed to resolve the problems: (1) the local ecotourism association do not understand travelling purposes of tourists and how the tourists feedback to the place. (2) The local ecotourism association do not know how to improve the travel package such that the valued eco-tourists are losing. The proposed approach allows the local ecotourism association to understand tourist' behavior as a basis, which aims to achieve the goal of the sustainable ecotourism development.