A Study on the Changes in the Appraisal Industry in the Era of the 4th Industrial Revolution - Focus on the Factors Affecting Intention to Adopt Big Data in the Appraisal Field

AUTHORS

Donggun Yoon,Department of Real Estate Studies, Hanyang Cyber University, 220, Wangsimni-ro, Seongdong-gu, Seoul, South Korea
Jaehwan Kim*,Associate Professor, Major in Real Estate Studies, Faculty of Regional Development, Kongju National University. Yesan, Chungnam, South Korea

ABSTRACT

The appraisal industry is the first structural change since the implementation of the public land price system in 1989. Since the environment surrounding the appraisal market has changed so far, structural adjustment from the inside is inevitable even though it was not enforced through legislation. This study aimed to identify factors that affect intention to adopt big data in the appraisal field based on the perception of values and environmental factors suggested by Paret et al., Quinn & Baily, Elizabeth & Michael, and Kyung, and propose a relevant guideline to institutions and corporations that consider adopting Big Data. Based on empirical analysis using SEM (structure equation modeling), the result was as follows: first, institutions and corporations that are considering adopting big data in the appraisal field should focus on improving the work process, capturing opportunities, and providing information for decision-making. Second, they must fully review internal factors of the Appraisal industry such as IT development trends and changing environment and select crucial business partnerships to gain competitiveness in the market.

 

KEYWORDS

4th industrial revolution, Real estate appraisal, Big data, Real estate industry, Internet of things

REFERENCES

[1] Bokseong-su, 4th Industrial Revolution and Big Data, Information, and Communication Engineering, Chungbuk National University (2016)
[2] E. Elizabeth and P. Michael, “Electronic commerce adoption: An empirical study of small and medium US businesses,” Information and Management, vol.42, no.1, (2004)
[3] O. Kazumasa, “Big data-key to the 4th industrial revolution, innovation in the global economy-3,” Japan spotlight, (2016)
[4] McAfee, T. Brynjofsson, “Big data: the management revolution,” Harvard Business Review, October Davenport (2006)
[5] J. B. Quinn and M. N. Bailey, “Information technology: Increasing productivity in services,” Academy of Management Executive (1994)
[6] Real Estate in the Age of the Fourth Industrial Revolution, BEOS Survey 05, January (2014).
[7] Samsung Economic Research Institute, “Public data openness and corporate activities,” (2013)
[5] T. Gavin, C. Rozwell, and D. Freeman, “Use the internet of things in smart buildings to achieve work-life ambiance," Gartner, May (2017)

CITATION

  • APA:
    Yoon,D.& Kim*,J.(2019). A Study on the Changes in the Appraisal Industry in the Era of the 4th Industrial Revolution - Focus on the Factors Affecting Intention to Adopt Big Data in the Appraisal Field. International Journal of Smart Business and Technology, 7(1), 65-72. 10.21742/IJSBT.2019.7.1.07
  • Harvard:
    Yoon,D., Kim*,J.(2019). "A Study on the Changes in the Appraisal Industry in the Era of the 4th Industrial Revolution - Focus on the Factors Affecting Intention to Adopt Big Data in the Appraisal Field". International Journal of Smart Business and Technology, 7(1), pp.65-72. doi:10.21742/IJSBT.2019.7.1.07
  • IEEE:
    [1] D.Yoon, J.Kim*, "A Study on the Changes in the Appraisal Industry in the Era of the 4th Industrial Revolution - Focus on the Factors Affecting Intention to Adopt Big Data in the Appraisal Field". International Journal of Smart Business and Technology, vol.7, no.1, pp.65-72, May. 2019
  • MLA:
    Yoon Donggun and Kim* Jaehwan. "A Study on the Changes in the Appraisal Industry in the Era of the 4th Industrial Revolution - Focus on the Factors Affecting Intention to Adopt Big Data in the Appraisal Field". International Journal of Smart Business and Technology, vol.7, no.1, May. 2019, pp.65-72, doi:10.21742/IJSBT.2019.7.1.07

ISSUE INFO

  • Volume 7, No. 1, 2019
  • ISSN(p):2288-8969
  • ISSN(e):2207-516X
  • Published:May. 2019

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