Other Business Commons^™

Privacy Considerations For Online Advertising: A Stakeholder’S Perspective To Programmatic Advertising, Dylan A. Cooper, Taylan Yalcin, Cristina Nistor, Matthew Macrini, Ekin Pehlivan

Business Faculty Articles and Research

Purpose

Privacy considerations have become a topic with increasing interest from academics, industry leaders and regulators. In response to consumers’ privacy concerns, Google announced in 2020 that Chrome would stop supporting third-party cookies in the near future. At the same time, advertising technology companies are developing alternative solutions for online targeting and consumer privacy controls. This paper aims to explore privacy considerations related to online tracking and targeting methods used for programmatic advertising (i.e. third-party cookies, Privacy Sandbox, Unified ID 2.0) for a variety of stakeholders: consumers, AdTech platforms, advertisers and publishers.

Design/methodology/approach

This study analyzes the topic of internet …

Lady Luck: Anthropomorphized Luck Creates Perceptions Of Risk-Sharing And Drives Pursuit Of Risky Alternatives, Katina Kulow, Thomas Kramer, Kara Bentley

Business Faculty Articles and Research

We examine decision-making under risk as a function of the degree to which consumers anthropomorphize their luck. We propose that consumers make riskier financial decisions when they anthropomorphize (vs. objectify) their luck and that this effect occurs because humanizing luck engenders a perceived sharing of risk in the presence of “lady luck.” A series of experiments shows that consumers among whom anthropomorphized versus objectified luck is salient display greater risk-taking in financial, but not social, decisions. These effects are heightened among consumers who frequently engage in risky decision-making and are driven by perceptions of risk-sharing produced by anthropomorphized luck. Collectively, …

Unrequited: Asymmetry In Interorganizational Trust, Melissa E. Graebner, Fabrice Lumineau, Darcy Fudge Kamal

Business Faculty Articles and Research

Many studies of interorganizational relationships assume that trust between organizations is symmetric. In this essay, we explore the origins of this assumption and examine relevant quantitative and qualitative evidence from the literatures on strategy, marketing, supply chain management, and information systems. We conclude that no systematic evidence currently exists to support the assumption that interorganizational trust is typically symmetric. We explore how the possibility of asymmetry complicates interpretation of previous research on the effects of interorganizational trust. We encourage further research to identify conditions under which symmetry is likely, and offer a variety of strategies that scholars may use to …

The Case For Showrooming, Cristina Nistor, Prashanth Nyer

Business Faculty Articles and Research

Showrooming has deeply affected the retail market in the past decade. As consumers became able to easily compare prices on their mobile devices, they started using retail stores to try on and experience products and then they ordered online the lower priced versions they liked best to be delivered directly to their homes. As retailers are trying to adapt to the showrooming challenges and the shift to online purchases, stores are increasingly adopting showrooming as a new selling format. We present examples of successful showrooming and develop a framework for when the new selling format can be expected to be …

How Do Firms Become Different? A Dynamic Model, Matthew Selove

Business Faculty Articles and Research

This paper presents a dynamic investment game in which firms that are initially identical develop assets that are specialized to different market segments. The model assumes that there are increasing returns to investment in a segment, for example, as a result of word-of-mouth or learning curve effects. I derive three key results: (1) Under certain conditions there is a unique equilibrium in which firms that are only slightly different focus all of their investment in different segments, causing small random differences to expand into large permanent differences. (2) If, on the other hand, sufficiently large random shocks are possible, firms …

Optimizing Product Line Designs: Efficient Methods And Comparisons, Alexandre Belloni, Robert Freund, Matthew Selove, Duncan Simester

Business Faculty Articles and Research

We take advantage of recent advances in optimization methods and computer hardware to identify globally optimal solutions of product line design problems that are too large for complete enumeration. We then use this guarantee of global optimality to benchmark the performance of more practical heuristic methods. We use two sources of data: (1) a conjoint study previously conducted for a real product line design problem, and (2) simulated problems of various sizes. For both data sources, several of the heuristic methods consistently find optimal or near-optimal solutions, including simulated annealing, divide-and-conquer, product-swapping, and genetic algorithms.