Ian M. Langella

Dr. Ian M. Langella is a Professor of Supply Chain Management at Shippensburg University, within the John L. Grove College of Business. He has served as the chair of the Department of Finance and Supply Chain Management for over a decade (2013–2023) and is recognized for his excellence in teaching, research, and service.

Education:

• PhD in Management (Operations Management), University of Magdeburg, Germany
• MA in Management (International Management & Production & Operations Management), University of Magdeburg, Germany
• BS in Nautical Science (minor in Physical Sciences), Maine Maritime Academy, USA

Research Interests:

Dr. Langella's research spans a wide range of topics in operations and supply chain management, with a strong emphasis on sustainability, disassembly-to-order systems, green logistics, and data-driven decision making. He has published extensively in peer-reviewed journals, authored two books, and is among the most cited faculty at Shippensburg University with over 1,600 citations on Google Scholar.

His work also integrates social sustainability, corporate responsibility, and cross-cultural studies in business education, reflecting a holistic approach to operations and supply chain research.

Scientific Awards & Honors:

• College of Business Teaching Award (twice)
• University-wide Teaching Innovation and Pedagogy Spotlight (TIPS) Award
• College of Business Service Award (2017)
• Faculty Member of the Year – SU Students Association

Advising & Grants:

Dr. Langella has advised numerous students and student organizations. He has led executive education projects with major companies such as Martin’s Potato Rolls, JLG, Harsco, Volvo CE, and the Letterkenny Army Depot. He also mentors students in lean six sigma and data science, leveraging his certifications from SAP, IBM, and MIT.

Labs & Teams:

While no specific lab is mentioned, Dr. Langella actively collaborates with industry and academic partners through executive education, consulting, and research projects. His work bridges theoretical research with practical applications in supply chain optimization and sustainability.