Innovative Real Estate-as-a-Service Analytic in Cloud Computing for Improving Operational Efficiency in Land Acquisition Management

Abstract

Demand for land from growing global E-commerce and Fast-Moving Consumer Goods companies using Modern Logistic Property (MLP) around the world with limited supply of land and high occupancy rate of 80% had led to over land prices and shortage of land vacancy in prime locations. The US-Trade Wars had prompted many companies to relocate fulfillment facilities to locations around the world including South East Asia and Thailand. The search for prime locations in less political unrest areas had led to the use of innovative Real Estate-as-a-Service (RaaS) with intelligent agent assistance and timely information for managing efficiency of land acquisition became purpose of the study. The objective was to study the using of innovative RaaS with cloud-based data analytic to improving efficiency of land acquisition management. The survey with descriptive analysis research method used data collection from 278 subjects with 1 to 30 land deeds in 2019. Findings suggested that 21.4% of land owners had experience with RaaS. The other 78.6% had no experiences and 75.6% of them wanted to adopt RaaS to improve security, trustworthiness, time and costs of land acquisition transaction. Recommendations included using GPS algorithms and drone images to improve accuracy of land values declaration.