11:00-12:00, חדר עסקאות 003
הפקולטה לניהול ע"ש גילפורד גלייזר מזמינה
אתכם לסמינר
של קבוצת המחקר שיווק עם המרצה
Andreas Lanz
University of Mannheim
Climb or Jump – Status-Based Seeding in
User-Generated Content Networks
(with Jacob Goldenberg, Daniel Shapira,
and Florian Stahl)
This paper addresses optimal seeding
policies in user-generated content networks by challenging the role of
influencers. Using data from SoundCloud, the world’s leading user-generated
content network in the music domain, we study creators of music who seek to
build and increase their follower base by directing promotional actions to
other users of the networking platform. Focusing on the network status of both
creator and seeding targets, we find that, in particular, unknown creators of
music do not benefit from seeding high-status users. In fact, it appears that
unknown creators should ignore predominant seeding policies and slowly “climb”
across status levels of seeding targets rather than attempt to “jump” towards
those with the highest status. Our research extends the existing seeding
literature by introducing the concept of risk to dissemination dynamics in
online communications. We show evidence that unknown creators of music do not
seed specific status levels but rather choose a portfolio of seeding targets
while solving risk versus return trade-offs. We discuss managerial implications
for information dissemination and optimal seeding in user-generated content
networks.
11:15-12:15, בנייןM8 חדר 105
הפקולטה לניהול ע"ש גילפורד גלייזר מזמינה
אתכם לסמינר המחלקתי
של המחלקה לניהול מערכות בריאות עם המרצה
ד"ר יפתח שגיא
בנושא:
Utilization
of healthcare services during health scares: a mixed methods study
12:00-13:00, חדר עסקאות 003
המחלקה לניהול מלונאות
ותיירות בפקולטה לניהול
ע"ש גילפורד גלייזר
מתכבדת להזמינכם ל- Job Talk
Analyzing Tourism Demand
For Singapore Using
Dynamic Panel Models
Christine Lim
and Liang Zhu
Division
of Marketing and International Business
Nanyang
Business School
Nanyang
Technological University
Singapore
ABSTRACT
The objective of
this study is to examine the relationship between international tourism demand,
real income of tourist generating country, real exchange rate, international
meetings and tourism infrastructure in Singapore since 2000. Tourism demand as
measured by tourist arrivals from 30 countries is analyzed using Difference and
System GMM estimators for dynamic panel models. The GMM results show that
tourism consumption growth is significantly positive at the 5% level with
respect to changes in income. A 10% increase (decrease) in real income is
associated with 4.8% to 9.0% increase (decrease) in tourist arrivals. The
significant inverse relationship between tourism demand and relative prices
shows that a 10% increase (decrease) in real exchange rate is associated with
less than 1.0% decrease (increase) in tourist arrivals. Additionally, the study finds that
international meetings and tourism infrastructure contribute significantly to
tourism growth. The significant positive relationship between tourism demand
and lagged tourist arrivals shows high level of habit persistence and
revisitation.
