Working Relations Analysis
All PPI research activities and writing follows rigorous standards required by academia.
PPI has in-house capability to apply the most appropriate analytic methodologies to analyze the results of client supply base surveys. These include highly sophisticated statistical tools and methodologies such as, structural equation modeling. PPI has an extensive research library, a network of Research Support plus an unparalleled supplier research database. Professor Henke also relies on a large network of business professionals with practical hand-on experience in supplier relations and SRM to ensure his work is grounded in the practical world of company – supplier relations.
PPI’s supplier research database includes response values for every question in all our client surveys since 1992, including those from PPI’s Annual Automotive Industry™ Studies. As of March 2017, our supplier research database includes responses for over 40,000 individual respondents across 18 manufacturing and service industries around the world. The resultant data from the individual respondents roughly translates into over 100,000 buying situations. PPI’s rich research supplier database, envied by many, has been the basis for numerous academic research articles in leading academic and business publications.
Additionally, Professor Henke’s key research conclusions dealing with supplier working relations have appeared in numerous peer-reviewed academic journals. Professor Henke also publishes in recognized business magazines associated with Supply Chain Management and Purchasing. Business magazine publications are reviewed by a single Editor and/or Editorial Board.
Academic research is defined as “a method of research in which a problem is identified, relevant data are gathered, a hypothesis is formulated from these data, and the hypothesis is empirically tested.”
PPI’s supplier research database is managed using professional data management practices ensuring operational accuracy and stability, as well as security, including confidentiality and data loss prevention.
Before an article is published in a peer-reviewed journal, it undergoes a confidential review process. The journal editor forwards the article to academicians who are experts in the same area as the article author. These experts evaluate the quality of the submitted article, including checking for accuracy and validity of the research methodology and procedures and recommend whether to accept or reject the article for publication.