Generating Solutions for Society
Identifying Competitors in Geographical Markets Using the CSIS Method
Journal of Marketing Research
Businesses with physical footprints – hotels, retailers, and restaurants – must identify the competitors that matter most. Traditional approaches using brand tier or proximity often fail in dynamic or asymmetric markets. We introduce the Conditional Sure Independence Screening (CSIS) method to marketing to identify true competitors based on their pricing influence on a focal firm’s demand. CSIS is computationally efficient, robust to spatial mis-specifications, and effective for identifying, asymmetric, even non-local, and segment-specific competition. It is also an effective variable selection technique.
In applying CSIS to U.S. hotel data our analysis shows that competition intensity varies not only by location or market segments, but that asymmetry is common – many hotels influence others without being influenced in return. Our methodology enables smarter, data-driven pricing and benchmarking and helps tailor strategy to segment and seasonality. In addition, it is scalable across industries such as retail, services, and hospitality.
Xian Gu, Assistant Professor, Kelley School of Business, Indiana University; P.K. Kannan, Dean's Chair in Marketing Science, Smith School of Business, University of Maryland
Logistics Service Provider Technology Report
Logistics Service Provider Technology Report
The Logistics Service Provider Technology Report (LSPTR) will be an annual report published by the University of Maryland’s Supply Chain Management Center that aims to provide technology spend visibility for logistics service providers (LSPs) in a variety of areas.
We find that LSPs do not know how much to invest in technology because public filings do not disclose specifics about IT spend, consulting firms have limited data to back their perspectives, and industry analysts are bias and do not collect hard data. Shippers also cannot compare providers' technology capabilities or investments due to LSPs alignment with strategy being unclear despite marketing various capabilities, and they cannot compare their partners’ technology investment within their segment or the broader market.
Publishing an annual technology report compiling technology spend data will provide a solution to the identified problems and create value for stakeholder groups including, but not limited to: LSPs, software vendors, hardware vendors, shippers, industry associations, trade groups, shareholders, and consulting firms.
The report will encompass all technology-related expenditures of the companies who opt in to provide a complete perspective of LSP interest, activity, and spend on technology, with an initial proof-of-concept/pilot addressing 2 key sub-sets of technology in 2025: AI and robotics.
Geoff Milsom - UMD Professor
Jaclyn Wilton - Advisor
Maggie McGuire - Fellow
Ryan Sachar - UMD Undergraduate Student
Ivy Zheng - UMD Undergraduate Student
CFO Narcissism and the Power of Persuasion Over Analysts: A Mixed-Methods Approach
Review of Accounting Studies
We study the role of CFO narcissism in the intent and ability to positively influence sell-side analysts’ perceptions of the firm. Consistent with narcissists casting favorable impressions on others, we find CFO narcissism is associated with overly optimistic analyst valuations. We then study public persuasion attempts by analyzing conference call transcripts and private persuasion attempts through a laboratory study. In the conference call setting, we provide evidence that narcissistic CFOs use more persuasive language and are more inclined to call on bearish analysts, both of which we link to higher price targets. In the lab study, we simulate a one-on-one conversation and find that narcissists are especially more likely to use coercive methods to induce higher valuations (e.g., threatening to remove private lines of communication). Collectively, we provide evidence that narcissistic CFOs exercise persuasion tactics to favorably influence analysts’ perceptions of firm value.
Chad Ham and Mark Piorkowski - Indiana University; Nick Seybert - University of Maryland; Sean Wang - Southern Methodist University