Too Big to Fail in Real Estate Development in Saudi Arabia

被引:0
作者
Gupta, Rahul Deo [1 ]
Gernal, Liza [2 ]
机构
[1] UCAM Univ Catolica San Antonio Murcia, Murcia, Spain
[2] Univ Sci & Technol Fujairah, Fujairah, U Arab Emirates
来源
NAVIGATING THE TECHNOLOGICAL TIDE: THE EVOLUTION AND CHALLENGES OF BUSINESS MODEL INNOVATION, VOL 3, ICBT 2024 | 2024年 / 1082卷
关键词
Strategy; Strategy Execution; Execution hurdles; Real Estate Development; Saudi Arabia; Balanced Scorecard; STRATEGY-EXECUTION;
D O I
10.1007/978-3-031-67434-1_46
中图分类号
F [经济];
学科分类号
02 ;
摘要
This research study focuses on strategy execution in real estate development organisations in Saudi Arabia. The successful execution of a strategy is crucial for organisations to achieve their strategic objectives. However, many organisations face challenges in effectively executing their strategies. The research aimed to fill the literature gap by examining strategy execution failures in the real estate development sector in Saudi Arabia. The findings of the study revealed that there are nine common strategy execution hurdles applicable to real estate development organisations in Saudi Arabia. These hurdles were classified into three categories: planning-related hurdles, execution-related hurdles, and enabler-related hurdles. The study highlighted the importance of implementing the Balanced Scorecard Management System to overcome these hurdles. The original contribution of this research is the identification of the nine strategy execution hurdles that are applicable to industries and geographies worldwide, including real estate development organisations in Saudi Arabia. The identified hurdles provide valuable insights for organisations seeking to improve their strategy execution processes. The study employed a quantitative research approach using surveys. A total of 20 real estate development organisations out of 123 were selected as participants, and survey data were collected from 184 participants using expert sampling and snowball sampling. The collected data were analysed using descriptive and inferential analysis with the assistance of the online statistics calculator DataTab.net.
引用
收藏
页码:483 / 498
页数:16
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