Janine Sanders

Assistant Professor, Operations and Supply Chain Management

sand8871@stthomas.edu

(651) 962-4158

Minneapolis Campus
1000 LaSalle Ave
Terrence Murphy Hall 470E
Minneapolis, MN 55403

B.S., Chemical Engineering, Russ College of Engineering and Technology, Ohio University
M.S., Industrial Administration, Purdue University - Krannert Graduate School of Management
Ph.D., Operations Management, University of Minnesota - Carlson School of Management

See publications in UST Research Online

Janine Sanders Jones is an assistant professor in operations and supply chain management. She worked as an industrial engineer and process engineer for Merck & Co. before joining academia. Currently, her research interests include quality management, process management and organizational culture. Her work has been published in Decision Sciences Journal and International Journal of Information and Operations Management Education. She currently teaches a variety of courses at the undergraduate and graduate level, including Introduction to Operations Management, Business Statistics and Operations Strategy.

Jones has a B.S. in chemical engineering from Ohio University, an M.S. in industrial administration from Purdue University and a Ph.D. in business administration with a concentration in operations management from the University of Minnesota.

Summer 2015 Courses
Summer 2015 Courses
Crs - Sec Title Days Time Location
Fall 2015 Courses
Fall 2015 Courses
Crs - Sec Title Days Time Location
OPMT 600 - 111 Stat. Methods for Dec. Making - T - R - - - 1515 - 1645 SCH 127
Description of course Stat. Methods for Dec. Making : CRN: 43065
This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None

Schedule Details

Location Time Day(s)
OPMT 600 - 112 Stat. Methods for Dec. Making - T - R - - - 1330 - 1500 SCH 127
Description of course Stat. Methods for Dec. Making : CRN: 43066
This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None

Schedule Details

Location Time Day(s)
J-Term 2016 Courses
J-Term 2016 Courses
Crs - Sec Title Days Time Location
Academic and Professional Positions
  • Assistant Professor, University of St. Thomas - Opus College of Business, Minneapolis (2007 - present)
  • Instructor, University of Minnesota - Carlson School of Management, Minneapolis (2006 - 2007)
  • Teaching Assistant, University of Minnesota - Carlson School of Management, Minneapolis (2003 - 2004)
  • Senior Manufacturing Supervisor, Merck & Co., Inc., West Point (2000 - 2002)
  • Project Process Engineer, Merck & Co., Inc., West Point (1998 - 1999)
  • Project Industrial Engineer, Merck & Co., Inc., West Point (1997 - 1998)

Professional Memberships
  • Academy of Management
  • Decision Sciences Institute
  • National Black MBA Association

Professional Service
  • Journal of Operations Management, Reviewer

Public Service
  • Center for Community Development/KMOJ Radio Station, Board Member
  • Connections to Independence Youth Initiative Board of Directors, Board Member
  • Minneapolis Public Schools Business Case Competition Judge, Member

Publications
  • Sanders, J., & Lindermann, K. (2014). Process management, innovation, and efficiency performance: The moderating effect of competitive intensity. Business Process Management Journal, (20)(2), pp. 335-358
  • Naor, M., Sanders, J., Bernardes, E. S., Goldstein, S. M., & Schroeder, R. (2013). The culture-effectiveness link in a manufacturing context: A resource-based view perspective. Journal of World Business, (49)(3), p.11
  • Sanders, J., White, S. W., & Olson, J. R. (2013). University of St. Thomas uses AHP to grow operations management major. International Journal of Information and Operations Management Education, (5)(2), pp. 130-153
  • Linderman, K., Schroeder, R., & Sanders, J. (2010). A knowledge framework underlying process management. Decision Sciences, (41)(4), pp. 689-719

Books and Chapters

Research Interests
  • Manufacturing
  • Operations
  • Quality Management

Awards and Honors
  • Academy of Management OM Division Doctoral Student Consortium, 2005
  • Carlson School of Management, 2002
  • Carlson School of Management, 2003
  • Carlson School of Management, 2004
  • Carlson School of Management, 2005
  • Carlson School of Management, 2006
  • Carlson School of Management, 2006
  • Juran Center for Leadership in Quality Doctoral Award, 2005
  • Juran Center for Leadership in Quality Fellowship Award, 2004
  • National Black MBA Association, Inc. Twin Cities Chapter, 2004
  • The PhD Project Management Doctoral Student Association, 2006
  • University of Minnesota Graduate School, 2002
  • University of Minnesota Graduate School, 2005

Presentations
  • "The culture-effectiveness linkage: Looking through resource-based view lens in a manufacturing arena" Academy of Management, San Antonio, TX, August 01, 2011
  • "An empirical examination of the linkage between organizational culture, process management, and plant performance" Decision Sciences Institute, Baltimore, Maryland, November 01, 2008
  • "Defining and measuring the elements of process management" Decision Sciences Institute, San Antonio, Texas, November 01, 2006
  • "Process management and plant performance: A configuration approach" Decision Sciences Institute, San Francisco, California, November 01, 2005
  • "Process management and plant performance: A configuration approach" Academy of Management, Honolulu, Hawaii, August 01, 2005
  • "The impact of plant cultural differences on quality management: A conceptual model" Decision Sciences Institute, Boston, Massachusetts, November 01, 2004