Widyana Lim (Wiwi) is a full-time scholarship awardee, dual-degree PhD candidate at School of Business and Management Institut Teknologi Bandung (SBM ITB) and the Coventry University, supervised by Professor Yos Sunitiyoso and Professor Benny Tjahjono. Her research focuses on the transformation of last-mile delivery and e-commerce logistics, exploring how the growth of digital commerce reshapes logistics systems and workforce dynamics in developing economies.

She holds a Master of Business Administration from SBM ITB, where she graduated cum laude as the Best Graduate, and a Bachelor’s degree in Business Administration from Parahyangan Catholic University Bandung, also awarded cum laude and Best Academic Student.

Before pursuing her PhD, Widyana gained over a decade of professional experience in organizations such as Gojek, Amazon Web Services, Unilever Indonesia, Samsung Electronics, and Sinarmas Agro. Her career spans logistics, supply chain, operations, project management, and strategic planning, shaping a research perspective that bridges theoretical development and pragmatic application. She aims to contribute to both academic discourse and managerial innovation by advancing understanding of how delivery ecosystems can become more adaptive, data-driven, and sustainable.

Widyana Lim’s research explores the transformation of last-mile delivery systems in the e-commerce era, with a particular focus on developing economies. As online retail continues to expand, it reshapes how goods are moved, how people work, and how technology supports delivery networks. Widyana’s work examines these dynamics by looking at how digital innovation, human behavior, and institutional forces interact to create systems that are both efficient and socially responsible.

Her research combines theoretical development and practical insight, guided by a pragmatic approach that connects scholarly inquiry with real-world application. She develops integrative frameworks to better understand sustainability, decision-making, and emerging dimensions within logistics ecosystems. Her current roadmap extends toward scenario planning, system optimization, and machine learning–based modeling, with the goal of supporting adaptive, inclusive, and data-driven e-commerce logistics systems that reflect the realities of developing markets.