AI in public: the effects of technology bias, fears of public surveillance, and moral tradeoffs on privacy concerns

Applications of AI in public surveillance contexts fuel polemics among consumers and public policy makers alike. In two experimental studies, we explore the mechanisms that affect citizens’ attitudes towards government surveillance technologies. In Study 1, we show that the privacy and surveillance concerns are reduced when government (vs. firm) owns the data. Moreover, the fear of technology biases moderates the relationship between privacy concerns and willingness to adopt. In Study 2, we analyze the potential of anonymization of data collection to remedy the perceived privacy concerns. We find that the effect of anonymization of data collection on the willingness to support government surveillance technology goes through two parallel antecedents of privacy concerns: a reduction in perceived government intrusiveness and an increase in the perceived fairness and justice. Reduced privacy concerns ultimately increase the perceived usefulness of technological solution and increase the willingness to adopt

Synergistic and cannibalization effects in a partnership loyalty program

The implicit promise of a partnership in a loyalty program (LP) is that the partners will gain new customers and the LP will reinforce the loyalty to focal partners. Although customers may be encouraged to cross-purchase from partners (which may create positive synergies), they can also switch among partners without forfeiting rewards (which may lead to the cannibalization of sales among partners). To explore these cross-partner effects, we analyze the evolution of customer purchases in a partnership LP across 33 partners from 16 industry sectors. We find that cannibalizations arise more frequently than synergies among partners, contributing to a “rich-get-richer” effect for high-penetration partners; e.g., 10% increase in transactions at department stores reduce transactions at apparel partners (by.04% for new transactions and by 1.18% for recurring customers); but in turn, they attract positive synergies from apparel (.11% increase in transactions by new customers and.37% for recurring transactions)

Advancing research on loyalty programs:a future research agenda

Artículo de publicación ISIDespite the growing literature on loyalty program (LP) research, many questions remain underexplored. Driven by advancements in information technology, marketing analytics, and consumer interface platforms (e.g., mobile devices), there have been many recent developments in LP practices around the world. They impose new challenges and create exciting opportunities for future LP research. The main objective of this paper is to identify missing links in the literature and to craft a future research agenda to advance LP research and practice. Our discussion focuses on three key areas: (1) LP designs, (2) Assessment of LP performance, and (3) Emerging trends and the impact of new technologies. We highlight several gaps in the literature and outline research opportunities in each area