BEGIN:VCALENDAR
PRODID:-//eluceo/ical//2.0/EN
VERSION:2.0
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:b76b9a9a3ab87433424075642e3571b9
DTSTAMP:20241105T001628Z
SUMMARY:Dr. JaeHwuen Jung\, Assistant Professor at Temple University presen
 ting "The secret to finding love: A field experiment of choice structure i
 n online dating platform"
DESCRIPTION: \n\nOnline matching platforms require new approaches to market
  design\nsince firms can now control many aspects of search and interactio
 n\nprocess through various IT-enabled features. While choice\nstructure—
 the size of choice set and the number of choices a\nplatform offers to its
  customers—is one of the key design features\nof online matching platfor
 ms\, its impact on engagement and matching\noutcomes remains unclear. In t
 his study\, we examine the effect of\ndifferent choice structures on the n
 umber of choices and matches on\nthe platform by conducting a randomized f
 ield experiment in\ncollaboration with an online dating platform. Specific
 ally\, we design\nfour treatment groups with different choice structures w
 here users can\nonly interact with other users in the same group\, select 
 users who are\nin a similar age range and live in same geographical locati
 on\, and\nrandomly assign them to each treatment group. We find that provi
 ding\nhigher choice capacities to male and female users have different\nef
 fect on choice behaviors and matching outcomes. Moreover\, while\nincreasi
 ng the choice capacity of male users yields the highest number\nof choices
 \, increasing the choice capacity of female users is the most\neffective w
 ay to increase matching outcomes. Structural analysis\nfurther reveals the
  underlying mechanisms of choice behavior and\nmatching results\, suggesti
 ng that users significantly decrease the\nnumber of choices after receivin
 g a choice from other users and the\neffect of the choice capacity on matc
 hing outcomes differs by gender.\nWe further provide counterfactual analys
 is that explores optimal\nchoice structure design depending on the gender 
 ratio of the online\ndating platform.\n\nPresenter’s brief bio:\n\nJaeHw
 uen Jung (Jae) is an assistant professor of Management\nInformation System
 s at Fox School of Business\, Temple University. The\nunifying theme of hi
 s research is to causally examine the impact of\nnew technology channels\,
  digital platforms\, and technology-enabled\nfeatures on user behavior and
  firms’ outcomes. Specifically\, he\nstudies social influence at the mec
 hanism level by drawing on theories\nfrom economics and social psychology.
  His recent papers address\nresearch questions including (1) how can firms
  optimally design\nreferral programs to increase social contagion and word
 -of-mouth\, (2)\nhow mobile app adoption impacts user behavior and outcome
 s and\nincreases word-of-mouth for the firm\, and (3) how social learning\
 nimpacts user’s co-creation and engagement. Jae uses an\ninterdisciplina
 ry multi-method approach to understand the underlying\nmechanisms at work 
 that support the causal inference.\n\nHe has received a Ph.D. in Business 
 Administration from Carlson School\nof Management at the University of Min
 nesota and holds an M.S in\nManagement Engineering and B.S. in Industrial 
 Engineering from Korea\nAdvanced Institute of Science and Technology (KAIS
 T). Before joining\nthe Ph.D program\, Jae worked for 6.5 years as an IT a
 pplication\narchitect\, serving in many capacities relating to project man
 agement\,\nIT systems integration\, and legacy systems migration.\n\nLearn
  more\n[https://https://www.fox.temple.edu/mcm_people/jaehwuen-jung/] abou
 t\nDr. Jung.\n 
DTSTART:20200207T153000Z
DTEND:20200207T170000Z
LOCATION:Gerri C. LeBow Hall\, 3220 Market Street\, 109\, Philadelphia\, PA
  19104
END:VEVENT
END:VCALENDAR