Information technology is becoming the inevitable tool in contemporary business. The management information theory tries to catch the processing of management comprehensively, by focusing the application of the information system in business and give the influence from a technical aspect to the management strategy. There is the theme such as knowledge management that integrates the know-how and knowledge inside an enterprise and brings an efficiency, and the data mining that discovers useful rule out of voluminous data.

○ Orientation

○ What is management?

○ Management strategy and information and knowledge

○ Intention determinism and organization

○ Management control theory and management strategy theory as the foundation of the information system

○ Foundation theory of the management information theory

○ MIS, SIS, BPR etc.

○ Present condition of information technology

○ Knowledge management

○ SCM, ECR

○ Data mining

○ About real processing

○The evaluation of the results is calculated of integration attendance point and test. As for the person who was absent, please persist with the test.

○I explain of the fundamental theory of business administration because there are many students from another faculty. However, it is not inclusive because it is limited to the thing with regard to the management information theory. I explain on a classic thing mainly. As for the latest strategy theory and others, please take corresponding lessons.

○The test question is 1 question from the lesson contents and 1 question from the text. The text is Nakahashi Kunizou 'The frontier of the management strategy' published by Tokyo economic information edition 2001. To bring in the text for the exam is passable.

Exercise Ⅰ

Unfortunately, there is no photograph.

Exercise Ⅱ

With photograph

About the contents of the exercise

The main subject in this seminar is to experience the front of business through the application of joint with an actual enterprise, or making use of real data and master the skill of an information technology application simultaneously.

Furthermore, the contents of the skill that you acquire concretely are as the following.

1) Learning of the elementary knowledge in the business data acquisition

Learning elementary knowledge such as a acquisition of strategy theory to understand the strategy of the enterprise when using business data and statistics method.

2)Acquisition of the most advanced data mining technology theory

Data mining indicates about the tool and process that discover an effective rule from voluminous data. And we are going to practice and develop most advanced data mining technology in the world.

3) Skill learning for the marketing, merchandise development, and plan development

I am advancing the marketing support with the joint research with an actual enterprise through the advanced utilization of sales data in this seminar, as the application field of data mining technology. You can experience the mechanism of sales and the opportunity to think career up in the future seriously.

4) Entertainment

Even the activity other than research at any time. Such as visiting Los Angels, Las Begas, San Francisco, and Chicago

Person who wants to know in detail⇒

<2000- 2001 the activity result and research achievement of Yada seminar>

1. In 2000/8/23, the research announcement meeting in the south California university Marchal business school.　

Hisae Kamigochi, Shinichi Ino, “Understanding of Consumer Behavior from the Viewpoint of Combination Purchasing.”
Hiroshi Iida, “The Discovery of the Sequential Patterns in Combination Purchasing”
Kaoru Yuasa, Ken Iida, “The Quantitative measurement of Loyalty to the Specific Shop.”

2. In 2000/12/7, the 3rd workshop "The data mining and knowledge discovery in business application: The data mining Olympic" at Kyoto University hall.

Inou Shinichi (Kansai University) “The analysis of the new merchandise and liner that used an individual purchase share” pp. 46-55.
Iida Ken (Kansai University) "The discovery of the rule regarding the switch between the size of a paper diaper" pp. 39-45.
Iida Hiroshi (Kansai University) "Chronological order pattern analysis and store loyalty analysis" pp. 65-74.
Kamigouchi Hisae (Kansai University) "One of the studies for liner market expansion" pp. 56-64.
Yuasa Kaoru (Kansai University) "The measurement law of the fixed quantity of store loyalty" pp. 83-89.

3. In 2001/5/25, research announcement in the 15^th artificial intelligence academy national conference 2001 at Tottori prefectural hall.

・ Kawata Hideki, Hamuro Yukinobu, Kato Naoki, and Yada Katsutoshi

" The discovery of the business chance from the purchase record that used gene analysis technology".

4. In 2001/3/27, research announcement in the 2nd "The data mining workshop" of the Japanese software science academy at Tokyo University

・Kamigouchi Hisae and Yada Katsutoshi (Kansai University) " The approach to the potentiality client that paid attention to an event" research meeting data series No. 16 ISSN 1341-870X, pp. 33-37.

5. In 2001/6/19, research announcement in INFORMS (Institute for Operations Research and the Management Sciences) 2001 international conferences in USA.

・Kaoru Yuasa, Hiroshi Iida, and Katsutoshi Yada, 'Customer Knowledge in the Adult Incontinence Market.'

6. In 2001/11/6, research announcement in the SPSS Open House research promotion prize poster session,

・ Kamigouchi Hisae "The approach to the potentiality client that paid attention to an event "

・ Iida Hiroshi "The consumer action analysis in the AI market"

Furthermore, the research of above Iida Hiroshi won a prize "SPSS Open House research promotion prize excellent prize".

7. The 46th artificial intelligence academy foundation theory study meeting (SIGFAI) and the 54th knowledge base system study meeting (SIG-KBS) a joint study meeting program, theme": "The active mining” and also general, 2001/11/14

・Yada Katsutoshi and Iida Hiroshi "The research view and active mining of business knowledge discovery"

August	Research announcement in the Marchal business school
November	Result announcement in a joint research at enterprise
December	Data mining Olympic announcement
March	Japanese software academy announcement of a student
May	Artificial intelligence academy national conference announcement of a student
June	INFORMS international conference announcement of a student
July	Consulting practice start to an enterprise
November	Research announcement in an academy

These are the research result announcement contents of a faculty student and are not the things of teachers.