A Model for NASA-KSC's Privatization Transition

This paper describes a model for government agencies that are considering privatization of all or part of their functions. Privatization encompasses the transitioning of government functions from government run to contractor run. The model developed in this paper is used to analyze the National Aeronautics and Space Administration's (NASA) decision to privatize space shuttle operations at the Kennedy Space Center (KSC). Several specific recommendations are given to KSC as they attempt to operationalize this privatization decision at the Center and to transition to a new relationship with their contractors

Efficacy of purchasing activities and strategic involvement: an international comparison

The purchasing function plays a strategic role in a company’s ability to compete. As globalization continues to increase, what becomes interesting is the effect that national culture may have on purchasing activities and, ultimately, manufacturing competitiveness. This study examines the effects of purchasing activities and the purchasing function’s involvement with corporate strategy on manufacturing competitiveness as it is affected by national differences. In particular, we are interested in the research question: Do purchasing theories built on samples from mainly North American and Western European countries apply in other countries with different cultural contexts? The statistical results provide evidence that the engagement and efficacy of purchasing activities and strategic involvement within companies vary by national culture. Moreover, a particular cultural dimension, Long-term orientation, is significantly related to the efficacy of purchasing activities and strategic involvement. This finding has important implications from the perspective of purchasing decision-making in global operations. Specifically, top managers from different nations could adopt and implement similar purchasing activities, but those activities could lead to different outcomes depending on the culture. The paper concludes by reviewing research limitations and suggests further examination of operations management theories

2019 Scholars at Work Conference Program

Program for the 2019 Scholars at Work Conference at Minnesota State University, Mankato on March 29, 2019

A model for reverse logistics entry by third-party providers

Reverse logistics has become an important entity in the US economy. Nonetheless, many companies are not capable of or are unwilling to enter the reverse logistics market. Such reluctance appears to be attributed to lack of knowledge of reverse logistics. This paper reviews current industry practices in reverse logistics. Specifically, we examine the issues and processes that an organization has to address to engage in the reverse logistics business. A reverse logistics decision-making model is developed to guide the process of examining the feasibility of implementing reverse logistics in third-party providers such as transportation companies. The purpose of this model is to help those companies who would like to pursue reverse logistics as a new market. A field study was conducted with a larger US transportation company to validate the proposed model.Supply chain management Logistics Reverse logistics Disposition Retrieval Transportation

Measuring the Effects of Time: Repeated Cross-Sectional Research in Operations and Supply Chain Management

Purpose: Longitudinal investigations are often suggested but rarely used in operations and supply chain management (OSCM), mainly due to the difficulty of obtaining data. There is a silver lining in the form of existing large-scale and planned repeated cross-sectional (RCS) data sets, an approach commonly used in sociology and political sciences. This study aims to review all relevant RCS surveys with a focus on OSCM, as well as data and methods to motivate longitudinal research and to study trends at the plant, industry and geographic levels. Design/methodology/approach: A comparison of RCS, panel and hybrid surveys is presented. Existing RCS data sets in the OSCM discipline and their features are discussed. In total, 30 years of Global Manufacturing Research Group data are used to explore the applicability of analytical methods at the plant and aggregate level and in the form of multilevel modeling. Findings:RCS analysis is a viable alternative to overcome the confines associated with panel data. The structure of the existing data sets restricts quantitative analysis due to survey and sampling issues. Opportunities surrounding RCS analysis are illustrated, and survey design recommendations are provided. Practical implications: The longitudinal aspect of RCS surveys can answer new and untested research questions through repeated random sampling in focused topic areas. Planned RCS surveys can benefit from the provided recommendations. Originality/value: RCS research designs are generally overlooked in OSCM. This study provides an analysis of RCS data sets and future survey recommendations