Manufacturing location decisions have significant business strategy implications and are often a contested political point (Tate, Ellram, Schoenherr and Petersen, 2013, Jensen, Malesky and Jensen, 2015). Firms are increasingly considering reshoring work either to their home or other countries (Tate, et al 2013). More importantly, many firms are now considering the design of their supply chains, including manufacturing locations, as a dynamic capability (Arlbjorn, 2014). This study investigates the factors firms consider in making decisions to reshore the location of manufacturing work. Ellram, Tate, and Petersen (2013) previously explored the factors involved in companies' decisions on where to locate manufacturing and identified 29 motivational factors. This study seeks to identify the factors considered most important and of greatest risk to manufacturers in making their decisions. These questions led to two propositions dealing with importance and risk. Based on a sample of 300 supply chain professionals the researchers tested these propositions using a fuzzy analytical hierarchy process (FAHP). The research suggests that, consistent with the literature, labor cost is in fact the most important factor in making relocation decisions. Contrary to the literature, however, currency stability (and not country risk) was the factor considered to provide the greatest risk.
This paper is a progress report on the development of an undergraduate course in environmental design and manufacturing. The importance of the topic is clear from National Academy of Engineering statements regarding the need to Incorporate content on sustainable technology. The multidisciplinary team includes academic faculty from engineering, science, liberal studies, and business in collaboration with industry partners. The team's approach is to create a case-based course by adapting existing educational modules from Ford Motor Company. The group has received National Science Foundation funding for this project (DUE-0511322), and the project is currently in Its beginning phases.
Entrepreneurship education programs typically include a large range of student outcomes including knowledge, skills, and attitudes as well as outcomes that go beyond the classroom. Because of the extent of inclusions and the broad range of effects, assessing the effectiveness of entrepreneurship education programs is frequently challenged. Based upon Block and Stumpf [1]'s idea of "hierarchy of criteria" for evaluation, the main purpose of this research is to provide a multi-level multi-dimensional perspective that systematically investigates factors related to the success of entrepreneurship education programs. Such programs, in turn, can stimulate and bring success to new enterprises and entire communities.The authors propose a multi-level multi-dimensional perspective for assessing the effectiveness of entrepreneurship education programs while introducing a measurement model as a critical component. The effectiveness of entrepreneurial education programs is difficult to measure precisely, particularly in a shorter time, due to the nature of entrepreneurship education program outcomes which researchers need to wait years before students graduate and then contribute to the creation of innovation or new venture in their later carrier. According to Rouse and Morris [2], mental models are the mechanisms whereby humans generate descriptions of system purpose and form, explanations of system functioning and observed system states, and predictions of future system states. Consequently, a mental model plays a major role in entrepreneurship mindset because mental models profoundly influence one's beliefs, intentions, and behaviors.In this paper, first, the authors introduce three major problems associated with assessment of entrepreneurship education programs. Second, the entrepreneurship education program at the small engineering school is presented. Third, the authors provide a more comprehensive assessment model of entrepreneurship education programs to inform and direct stakeholders of entrepreneurship education programs. We suggest that the multi-level multi-dimensional perspective would be more empirically testable for interactions between the students, his/her teachers, relationships within the institution, and the society and economy, by adding the shared mental model construct into the research model.
Industrial and Manufacturing Engineering at Kettering University. She serves as the Co-PI for the NSF project titled "Development of a Course in Environmentally Conscious Design and Manufacturing for Undergraduates" and will team-teach the course once developed. Her areas of interest in teaching and research include ergonomics, statistics, and work design. She also serves as the treasurer for the Industrial Engineering Division of ASEE.
Prior to teaching, Andy spent 21 years working as an IT manager for GM and Electronic Data Systems. His academic interests include information technology, entrepreneurship and environmental sustainability. Andy serves on the editorial board of Information Resources Management Journal and is an associate editor of the Journal of Cases in IT.
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