Use of Big Data Analytics in Business Agility: Case of Real Estate Firms in Nairobi
Abstract
The effect of the coronavirus pandemic has prompted firms to develop resilience to crises and the
resulting shocks. As markets experience sudden changes, meeting requirements and expectations
of several stakeholders requires quicker process improvements; business agility becomes a
fundamental factor, one of the most decisive in turbulent environments for organizations to
succeed. This study aims to look at the real estate firms in Nairobi that forms part of the social
strategic sectors. Data has long been at the heart of the real estate business and although big data
is not a new concept in real estate, its exponential expansion is. Technology and more so big data
analytics has been viewed as a catalyst in influencing business agility in order to stay competitive
in the industry. The outcomes of using big data for strategic advantage such as business agility
have been varied thus far, therefore; the general objective of this study was to evaluate and analyze
influence of use of big data analytics in business agility in real estate firms in Nairobi. This research
utilized the literature review method to investigate the use of technology and data specifically BDA
in business agility and to review existing business agility models and develop a suitable model for
evaluating agility in real estate firms in Nairobi by operationalizing the dynamic capability theory
into a workable framework focusing on an enterprise’s ability to rapidly reconfigure and
orchestrate competences that have been sourced externally, that will enable adaptation in fast
changing business environments. Using the convenience sampling method, the target population
was six real estate firms in the Nairobi metropolitan area with a sample of 40 respondents. The
response rate was 90% from 36 respondents. As such, this study employed descriptive research
design where both qualitative and quantitative data were gathered. Specifically, data collection
was accomplished through online questionnaire method with both open-ended questions and Likert
scale questions. Additionally, data analysis was accomplished through a descriptive statistical tool,
and specifically SPSS and Excel. Furthermore, the mean, tabulations, percentages, charts, and
tables were employed to present the findings. Finally, address the key objective of this research
paper the correlation and regression model were applied. The results of the study concluded that
there is a positive relationship between big data and business agility according to literature and
there is a positive influence in the use of big data analytics on sensing, seizing and transforming
capabilities which are business agility variables.
Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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