Earticle

초록

영어

The need is the decision drive for the customer to buy. It is a motivation for the customer to purchase products or services. Companies often look at the customer’s need as an opportunity to solve or contribute to original motives with excess back value. Unfortunately, it is a challenging task to understand the need of customers. There is a lack of a consistent approach for many organizations to find and use need. Understanding the needs is critical for innovation and go-to-market success. In parallel with the rapidly growing technologies of information and communication, contemporary commerce has shifted in both its information and market space. A promising solution has been by a software agent, one of the most exciting new developments in computer software technology. Over the past two decades, a software agent has played an increasingly important role in facilitating e-commerce operation. In this paper, we propose using the theory of tasktechnology fit (TTF) to study the efficacy of using agent technologies to identify products and services that fit customer need. We expect the result could constitute a blueprint for an IS research agenda in the e-commerce application of agents

목차

Abstract
Introduction
Theoretical Background
Customer Needs
Software Agent
Task-Technology Fit Models
Conclusion
References

키워드

저자

• Hamirahanim Abdul Rahman [ Department of Management Information System Seoul National University ]
• Jihae Suh [ Big Data Institute Seoul National University ]
• Jinsoo Park [ Department of Management Information System Seoul National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국경영정보학회 정기 학술대회 [KMIS Conference]

• 간기

  반년간

• 수록기간

  1990~2026

• 십진분류

  KDC 325 DDC 658