Abstract :
Increased demand for responsive, cost efficient, and sustainable operations requires service parts
consideration and adoption of new business models and solutions that span the entire life-cycle of
products. Many firms are turning to big data analytics. Though service parts managers have long relied
on analysis & optimization, big data analytics are considered to be more encompassing and thus especially
promising. Herein, big data and its related applications are proposed as a means of improving
service parts management practices. More specifically, data collected from interviews with service parts
managers is used to construct a framework depicting the challenges of service parts management. This
framework then serves as the basis for big data related proposals for overcoming the highlighted
challenges. Thus, the research answers the call for service parts management related frameworks while
providing a number of suggestions for managerial consideration and scholarly investigation.
