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게재 완료Published Portal Services SCOPUS

International Comparison on Efficiency of Portal Service Providers Using Stochastic Frontier Analysis

Kim, Y., Kim, J., Choi, J., Kim, Y. S.

International Journal of u-and e-Service, Science and Technology (2015) Vol. 8 No. 12 pp. 183-186

초록Abstract

This paper identifies industrial characteristics of portal sites using stochastic frontier analysis and tobit regression, proposing that market share and appropriate fixed assets have positive impacts on portal site efficiency.

키워드Keywords

  • Portal Services
  • Stochastic Frontier Analysis
  • Efficiency
  • Market Share
  • Tobit Regression
  • Network Effects
  • Internet Services
  • Platform Economics
  • Productivity Analysis

연구 방법Methodology

연구 분야Research Areas
Internet Services · Efficiency Analysis · Platform Economics · Industrial Organization
방법론Methodology
Stochastic Frontier Analysis · Tobit Regression · Two-stage Analysis · Production Function Estimation
통계 기법Statistical Methods
SFA · Tobit Model · Maximum Likelihood Estimation
분석 도구Software
Stata · Frontier

Research Overview

Efficiency analysis of portal service providers using stochastic frontier analysis (SFA) methodology.

Methodology

Stochastic Frontier Analysis

  • Production frontier estimation
  • Efficiency measurement
  • Technical inefficiency analysis

Tobit Regression

  • Second-stage analysis
  • Determinants of efficiency
  • Factor identification

Key Findings

Efficiency Determinants

  • Market Share: Positive impact on efficiency
  • Fixed Assets: Optimal scale importance
  • Network Effects: Strong influence
  • Content Quality: Critical factor

Industry Characteristics

  • Winner-take-most dynamics
  • Scale economies
  • First-mover advantages
  • User lock-in effects

Implications

  • Strategic insights for portal operators
  • Market structure understanding
  • Investment guidance
  • Competitive strategy development

Publication Details

Journal: International Journal of u-and e-Service, Science and Technology
Volume: 8(12)
Pages: 183-186
Year: 2015