Structural equation model for the assessment of Big Data Value proposition in the UK Facilities Management

Abstract

Abstract Big data analytics (BDA) has been introduced in the past few years in most industries as a factor capable of revolutionizing their operations by offering significant efficiency opportunities and benefits. To compete in this digital age, businesses must adopt a client centric service model, founded on data delivering continuous value, achieving optimal performance whilst also upgrading their own decision making and reporting processes. This study focuses on value outcomes (i.e. the end results of the implementation process) associated with the BDA adoption in the Facilities Management (FM) sector in United Kingdom (UK). Drawing upon qualitative case-study findings and an industry-wide questionnaire survey, a novel fifteen-variable model for BDA outcomes was developed and validated. This paper further uses the Confirmatory Factor Analysis (CFA) to establish the relationships between the variables and reveal the model’s principal dimensions. The identified themes focus on improved client experiences and efficient resource management and planning. In the current dynamic market environment, the findings of this study will help FM organisations to formulate effective data-driven strategies and client facing business models.