부동산분야의 빅데이터 도입의도에 미치는 영향요인에 관한 연구

As the society develops, risks and uncertainty increases, and Big Data is at the center of information technologies that can solve these issues. In research on utilization of Big Data in the Real Estate field, Kyung(2014) suggests high utility of Big Data in the field by using STEEP and correlation analysis based on characteristics of Real Estate and Big Data. In other words, Big Data can provide an efficient solution to general problems in the field of Real Estate by collecting and analyzing a large quantity of structured and unstructured data. This study aimed to identify factors that affect intention to adopt Big Data in the Real Estate field based on perception of strategic values and environmental factors suggested by Paret et al.(1988), Quinn & Baily(1994), Elizabeth & Michael(2004), and Kyung(2015), 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, it is advisable that institutions and corporations that are considering to adopt Big Data in the Real Estate field focus on improving the work process, capturing opportunities, and providing information for decision-making. Second, they must fully review internal factors of the Real Estate industry such as IT development trends and changing environment and select crucial business partnership in order to gain competitiveness in the market.