Earticle

초록

영어

Rapid changes of technologies and intense competitions in markets have challenged firms to adapt to their environments quickly for their survivals by keeping up technologies, regulations, and various emerging trends. In order to response to environments properly, firms have to set up strategies with profound understandings of nature and characteristic of environments. Despite the importance of environments, many studies regard environments as one entity or shift their focus to strategic alignment among business functions or between business objectives and means within firms. In this study, we investigate environments in terms of domains and the types of uncertainty, and examine the impact of uncertainty on firm performance throughout environmental fit while acknowledging the role of information technology. By analyzing risk factors of 10-K documents in the healthcare industry, we find that firms pay the highest attention to the area of external environment specifically to the regulation area, and have the balanced interest on information systems in either internal or external environment. We also obtain evidence that as uncertainty increase, firms increase the level of efficiency-oriented and marketoriented strategies increase to proactively response to internal and external uncertainties. Also, we have evidence that the environment fit between uncertainty and strategy has not a positive association with firm performance. Finally, we find that information systems do not moderate between uncertainty and firm performance. The empirical results shed light not only on the understanding of uncertainty of environment, but also the design of executive information systems for environmental scanning and risk management systems for evaluating the value of information.

목차

Abstract
 1. Introduction
 2. Literature Review
  2.1 Environment, Uncertainty, and Risk
  2.2 Research Models and Theoretical Background
  2.3 Domain of Environment
  2.4 Environmental Alignment and Fit
  2.5 Fit and Performance
 3. Sample
  3.1 Sample Selection and 10-K documents
 4. Methodology
  4.1 Variables
  4.2 Analysis
 5. Discussion
 6. Conclusion
 Acknowledgement
 References

키워드

저자

• Sangno Lee [ Texas Tech University ]
• Jaeki Song [ Texas Tech University, Service System Management and Engineering Sogang University ]
• Qing Cao [ Texas Tech University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국경영정보학회 정기 학술대회 [KMIS Conference]

• 간기

  반년간

• 수록기간

  1990~2025

• 십진분류

  KDC 325 DDC 658