Impact of Organizational Factors on the Intention to Use Big Data Technologies

Angela Siew Hoong Lee, Sunway University
Lip-Sam Thi, Universiti Utara Malaysia


Big data and technologies that analyze big data such as Hadoop and SAS Visual Analytics have alerted many business owners and scientists to start considering whether this is the right moment to adopt and embrace. Key factors such as investment, training, and operation of these technologies are some of the factors that need to take into account prior to adoption. This paper studied the influence of organizational factors towards the behavioral intention to use big data technologies in organizations in Malaysia. The objective of this research is to study the relationship of organizational factors on the intention to use big data technologies among knowledge workers in small and medium organizations (SME). This research uses the Technology Acceptance Model (TAM) as the base model to build the proposed model by looking into the several constructs in TAM and also the organizational constructs which include top management support, facilitating conditions and organizational culture. A total of 160 organizations took part in this research. The outcomes found that Organizational Factor strongly influence Perceived Usefulness and Perceived Ease-Of-Use. However, Perceived Usefulness has stronger influence if compare to Attitude toward Use of Big Data Technologies on Behavior Intention to Use Big Data Technologies.