Selected Current Research Projects, FY2018

Title: Environmentally conscious dyeing of fabrics using continuous digital printing of biopigment inks

Faculty: Dr. Hsiou-Lien Chen, associate professor of design and innovation management

Funded by: Walmart Foundation Grant

Partners: OSU College of Engineering

Description: Conventional textile coloration leads to significant environmental pollution. Dr. Chen’s research concerns the development of more environmentally sound textile methods. The current project, funded by Walmart Manufacturing Innovation Fund and conducted in collaboration with faculty from various colleges on campus, aims to reduce chemical impacts of textile coloration through use of natural pigments (derived from fungi) and ink-jet technology.




Title: Stress testing methods for community banks

Faculty: Dr. Shaokun Fan, assistant professor of business information systems

Funded by: National Science Foundation

Partners: Texas Tech University

Description: Dr. Fan is funded to produce an exploratory report on how to use big data techniques to perform loan-portfolio stress testing for community banks utilizing financial intelligence (FI). FI is the application of information technologies, analytical methods, and mathematical models to analyze massive data in the financial industry. Dr. Fan is collaborating with his co-investigators to analyze the historical data of business loans that are provided by community banks, and designing a full stress-testing system architecture.




Title: Early Detection of Placement for Success in an Online Quantitative Class

Faculty: Dr. Ping-Hung Hsieh, professor of business information systems, Dr. Xiaohui Chang, assistant professor of business information systems and Andrew Olstad, instructor of business information systems

Funded by: Oregon State University Ecampus


Description: In a face-to-face classroom setting, an instructor can gauge students’ reception of a topic via facial expression and body language, and provide alternative examples on the spot to clarify the key ideas and concepts.  It is often a challenge in an online environment for an instructor to foresee if students are confused. College of Business faculty researchers  are applying cognitive diagnosis models, namely the deterministic inputs, noisy “and” gate model, to explore their associations and to develop key constructs that allow an instructor to identify students in need of assistance and proactively engage with them early in the term.



Title: TeachEngineering: Capitalize on user experience and knowledge

Faculty: Dr. Rene Reitsma, professor of business information systems

Funded by: National Science Foundation

Partners: University of Colorado, Boulder, Integrated Teaching and Learning Program in cooperation with Worcester Polytechnic Institute, Colorado School of Mines, Duke University and Oregon State University

Description: is a National Science Foundation-funded digital library of free K-12 engineering curriculum. The collection currently counts 1,500+ lessons and activities and is used by about 2.5 million educators worldwide. Although the site is equipped with the usual search and browse facilities, for example, word searches, searches based on education standards, Dr. Reitsma and his research partners added “recommender services” – e.g., “if you like this, you might like that” – based on the similarities of word use across lessons and activities. They also seek to enhance and improve searches and recommendations with data collected from the user community such as comments and user stories. Dr. Reitsma expects that enriching a collection such as TeachEngineering with these networks of data relationships will significantly improve the user (teacher) experience, and support the growth of the collection.


Title: How does agency workforce diversity influence Federal R&D funding of minority and women technology entrepreneurs? An analysis of the SBIR and STTR programs, 2001–2011

Faculty: Amol Joshi, assistant professor of strategy & entrepreneurship with Todd M. Inouye, Niagara University; Jeffrey A. Robinson, Rutgers University

Funded by: Kauffman Foundation

Description: US Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs provide federal research and development grants to technology ventures. Dr. Joshi and his co-researchers examine the grants history of these two grantors programs, exploring how the demographic diversity of grantors impacts the demographically diverse grantees' experience. They find different odds for successfully transitioning from initial to follow-on R&D grants, with minority and women technology entrepreneurs less likely to receive this funding than their non-minority and male counterparts. This research paper earned the “Best Paper Award” for the New Insights and Potential Sources of New Entrepreneurial Growth: Minority Entrepreneurship project with publication in a special issue of Small Business Economics: An Entrepreneurship Journal.




Title: How do legal surprises drive organizational attention and case resolution? An analysis of false patent marking lawsuits

Faculty: Amol Joshi, assistant professor of strategy & entrepreneurship, with Iman Hemmatian, Ph.D. candidate of Strategy, Entrepreneurship, and Innovation at OSU

Funded by: Kauffman Foundation

Description: Legal surprises are unexpected suits or actions in which plaintiffs rely on claims or precedents that may be obscure, unfamiliar, or unknown to the defendants. Dr. Joshi and Hemmatian explore false patent-marking suit -- a unique type of patent-related legal surprise involving allegations of defendants marking products with ineligible patent numbers to deceive customers and/or deter competitors. Their research finds that temporal and evidential cues in the timelines and storylines of plaintiffs’ legal narratives in surprise suits attract defendants’ organizational attention, and are possible predictors of the mode (litigation or negotiation) and timing of case resolution.




Title: Supply Network Design and Product Environmental Performance

Faculty: Dr. Zhaohui Wu, professor of supply chain and logistics management

Funded by: National Science Foundation

Partners: Arizona State University

Description: Dr. Wu is researching methodologies to link life-cycle analysis research and supply network research to create a bigger picture of a product's environmental impact. With his research partners, Dr. Wu intends to propose a theory of how the structure of a product's technology network might impact its environmental performance, and, therefore, suggest an entirely new dimension to environmental product design. Given two competing technologies or supply chains, designers can be steered towards ones with greater sequential, as opposed to pooled, interdependencies between processes.




Title: Rambuta Remote Sensing

Faculty: Dale McCauley, DAMlab Makerspace manager

Funded by: VentureWell / National Collegiate Inventors and Innovators Alliance

Partners: OSU Center of Excellence for Innovation and Entrepreneurship

Description: Precision agriculture systems – including everything from geo-referenced grid soil sampling to variable rate application of fertilizer – have seen significant market penetration within the past decade in the United States. Somewhere around 30 percent of our 3.2 million farmers and 125,000 crop consultants are using some sort of precision agriculture technology to improve their efficiency, but fewer use remote sensing technology. Rambuta Remote Sensing is developing a system for drone-based monitoring and data collection about plant stress, prevalence of pests, and disease outbreaks. VentureWell / National Collegiate Inventors and Innovators Alliance fund the project

to develop their hyperspectral high-value crop imaging system and a paired ground based sensor array.



Title: Unraveling the Black-box of Inter-Organizational Learning as an Embedded Dyadic Process: An Exploratory Approach in Buyer-Supplier Context

Faculty: Yusoon Kim, associate professor of supply chain and logistics management

Funded by: College of Business


Description: Current thought is that social capital between firms has significant organizational learning and innovation effects. However, the involved process leading to learning and knowledge creation remains a "black box," – e.g., complex and mysterious. To explore the process of organizational learning, Dr. Kim is exploring the buyer-supplier inter-firm setting, uses inductive qualitative case studies from the automotive industry, including both buyers and suppliers. Preliminary findings indicate that inter-organizational learning takes place through two different feedback mechanisms — single-loop and double-loop. The subject companies studied in this research include some of the global players in the automotive industry, including both OEMs (as the buyers) and major engineering companies (as suppliers).