Second-movers' advantage of utilizing Big Data to enhance sustainability performance: The case of elevator industry

Increasing digitization of contemporary business under the Internet era has created the big data phenomenon. Such a phenomenon would present opportunities and challenges for enterprises to compete vigorously under an environment driven by timely management decision that hinges on intelligence to predict potential performance. There are new business models that exploit potentials to improve sustainability performance. Organizations could analyze differential wants and needs of specific customers in big data so as to develop strategies to tackle operational weaknesses and reduce unwise utilization of resources. First, this paper articulates a conceptual framework on second-mover advantages in light of the entrepreneurial opportunities with big data analytics. Such second-mover initiatives using big data analytics could be created by an enterprise seeking second-mover advantages within its organization or by a startup that attempts to unveil opportunities to improve operational performance with disruptive innovation within an industry. Second, we explore potential sustainability performance that can be enhanced with big data analytics for the case of elevator operators that serve the high rises. Energy efficiency can be improved through optimization of activity-based programming for specific needs of the end users. Enhancement of sustainability performance could be achieved with transfer of proven technologies, including the latest development of regenerative converter in the elevator industry.