CICo 2020
Conference Management System
Main Site
Submission Guide
Register
Login
User List | Statistics
Abstract List | Statistics
Paper List
Presentation Video
Online Q&A Forum
Access Mode
Ifory System
:: Abstract ::

<< back

Adaptive Decision Making Using Human Design System for Small and Medium Enterprises
Perwira Jati Wicaksono, Robby Julianto, Asro Laelani Indrayanti, Arief Rahman Hakim, Yos Andy Tangkasiang

Universitas PGRI Palangka Raya


Abstract

Decision making has 3 dimensions of consequences, namely survival, mental and emotional. These three dimensions are the center of human fear and awareness. If humans can use it, new knowledge, wisdom and spirit will emerge that are useful for the development of human evolution.

Some decision making techniques are snapshots or photographing conditions at certain times. For example, what choices can a person make to get a certain nominal income, or what choices should a company make to increase turnover in the next 3 months, what options can be done to make cost efficiency, etc. Usually these decisions also require complete information. Unfortunately there are always incomplete things in the information obtained so that there is always a dimension of uncertainty in every decision making. Many costs are spent just to get information, whether it is in the form of questionnaires, surveys, direct observations and other methods. MSMEs or entrepreneurs who are starting a business with very limited capital usually do not have sufficient funds to conduct such information searches. The limitations of internal resources can also be one of the obstacles. Adaptive decision making will bridge these limitations.

Keywords: Decision making, entrepreneurship, entrepreneur, human design, adaptive decision making

Topic: Social Science and Humanities

Plain Format | Corresponding Author (Ir. Arief Rahman Hakim, M.Si Ir. Arief Rahman hakim, M.Si.)

Share Link

Share your abstract link to your social media or profile page

CICo 2020 - Conference Management System

Powered By Konfrenzi Ultimate 1.832L-Build7 © 2007-2024 All Rights Reserved