INFORMS Philadelphia – 2015
51
SA41
3 - Overconfident Competing Newsvendors
Meng Li, University of Illinois, Wohlers Hall, 1206 S Sixth St.,
Champaign, IL, 61820, United States of America,
mengl@illinois.edu, Jun Zhang, Nicholas Petruzzi
In this paper, we study the effects and implications of overconfidence in a
competitive newsvendor setting. This bias unequivocally leads to a lower
expected profit for a newsvendor that does not compete on inventory availability.
Nevertheless, it can be a positive force for competing newsvendors. In a similar
vein, we also show that the more biased of two competing newsvendors is not
necessarily destined to a smaller expected profit than its less biased competitor.
4 - Transshipment in a Supply Chain with Competing Retailers
Tao Li, Santa Clara University, 500 El Camino Real, Santa Clara,
CA, 95053, United States of America,
tli1@scu.edu, Meng Li
We study a supply chain with one manufacturer and two retailers who transship
inventory between each other. We show the manufacturer’s profit increases in
customer search probability. We study the effect of bargaining power over the
transshipment decision. We show the manufacturer always prefers to control the
transshipment price rather than to control whether to transship, while the retailer
can prefer both. We find bargaining power always benefits the manufacturer but
could hurt the retailer.
SA40
40- Room 101, CC
Organization Theory I
Contributed Session
Chair: Robert Ryan, Doctoral Candidate, University of Pittsburgh, 6
Hillstream Rd, Newark, DE, 19711, United States of America,
ryanrc111@gmail.com1 - On Dynamics of Mirroring Hypothesis: How Product’s Architecture
Influences Social Network of Developers
Mahdi Ebrahim, PhD Candidate, Bocconi University, Via Rontgen
1, Milan, MI, 20138, Italy,
mahdi.ebrahim@phd.unibocconi.itOrganization literature implies that product architecture and organizational
structure mirror each other.Recent studies,though,show cases of mismatch
between the two.Adverse effect of mismatch on product is well documented.Yet,
its drivers are still
unclear.Wehypothesize that design elements with different
complexity levels cause various forms of mismatch,the most harmful of which
caused by Core elements.A dataset of elements’ dependencies & developers’
communications used to test hypotheses.
2 - Behavioral Motivation for Diversification: A Linkage Between
Aspiration and Environment
Christine Choi, Seoul National University, 1 Gwanak-ro,
Gwanak-gu, Seoul, Korea, Republic of,
kiky1001@snu.ac.kr,
Taewoo Roh
We explore how performance relative to aspiration level influences firms’ choice
of diversification strategy contingent upon task environment. Using sample of
U.S. manufacturing firms, we propose that motivation to pursue specific
diversification strategy is simultaneously affected by individual performance
feedback condition and environmental dimensions. The study contributes both to
the behavioral theory and diversification literatures by identifying antecedents for
diversification strategy.
3 - Balancing of Exploration and Exploitation: from Punctuated
Equilibrium to Dynamic Ambidexterity
Julio Pertuze, Assistant Professor, Pontificia Universidad Catolica
de Chile, Av. Vicuña Mackenna 4860, Macul, Santiago, RM,
Chile,
jpertuze@ing.puc.cl, Stephen X. Zhang
We clarify the process through which firms balance exploration, exploitation, and
the origins of ambidexterity. Based on inductive case studies of academic startups,
we found that firms initially balance exploration and exploitation sequentially
and later develop ambidexterity. High-frequency switching between exploration
and exploration enhanced the fitness of routine assembly. We contribute to the
understanding of the assembly of routines and to the nascent dynamic view on
ambidexterity.
4 - Routines, Frictions, and Parenthetical “MAN”: The Model of
Managerial Rationality
Robert Ryan, Doctoral Candidate, University of Pittsburgh, 6
Hillstream Rd, Newark, DE, 19711, United States of America,
ryanrc111@gmail.com, Barry Mitnick
The question of “what managers do” is an abandoned line of research, but
shouldn’t be. For studies of managed organizations, we still lack a model of how
managerial actions and routines interact to create value for the firm. We address
this gap. We call the logic of managerial actions, “managerial rationality” with
three necessary conditions: “I break it” “I own it” “I fix it”. This model includes
four meta-cognitive action types: problematizing, objectivizing, planning, and
committing.
SA41
41-Room 102A, CC
Joint Session MSOM-Health/HAS/Analytics:
Data-driven Modeling in Healthcare I
Sponsor: Manufacturing & Service Oper Mgmt/Healthcare
Operations, HAS & Analytics
Sponsored Session
Chair: Nan Liu, Columbia University, 722 W. 168th. St., New York,
United States of America,
nl2320@columbia.eduCo-Chair: Yichuan Ding, UBC, 2053 Main Mall, Sauder School of
Business, Vancouver, BC, V6T1Z2, Canada,
daniel.ding@sauder.ubc.ca1 - Effective Mechanisms for Reducing Hospital Readmissions
Jon Stauffer, Indiana University, 1309 E. Tenth Street,
Bloomington, IN, 47405, United States of America,
stauffer@indiana.edu,Kurt Bretthauer, Jonathan Helm
In this work we consider the problem of optimal design and capacity allocation
for monitoring and treatment mechanisms to reduce patient readmissions. Using
actual data, we analyze how groups in the healthcare provider system (hospitals,
physicians, post-discharge follow-up care) would adjust their approach to
readmission reduction in terms of what monitoring approaches / interventions to
employ and when to employ them.
2 - Admission Control in a Network of ICUS and PCU/IMC Units
Based on Patient Mortality Risk
Amirhossein Meisami, PhD Student, University of Michigan,
1205 Beal Avenue, Ann Arbor, MI, 48109, United States of
America,
meisami@umich.edu,Jivan Deglise-hawkinson,
Mark Cowen, Jennifer Czerwi, Mark Van Oyen
Traditional admission to ICU and step-down/intermediate care units emphasizes
acuity and specific treatment needs for “mandatory” placement. This revised work
optimizes the selective admission of highest risk “non-mandatory” patients to the
higher care unit network. The MIP models the queuing network dynamics to
avoid excessive blocking of mandatory patients.
3 - Mitigating the Effect of Schedule Dependent No-show
Zhenzhen Yan, National University of Singapore, NUS, Business
School 1 Business Lin, PhD Program Deans Office Biz2,
Singapore, 117592, Singapore,
a0109727@u.nus.edu,
Qingxia Kong, Shan Li, Chung Piaw Teo, Nan Liu
Based on empirical study of two sets of data from US and Chile, we observe
patient’s no show probability is related to the appointment schedule. We develop
a conic programming approach to study the effect of schedule dependent no-
show on the design of the optimal schedule, and its impact on the choice of
overbooking strategy. Our method is able to overcome the deficiency of standard
stochastic LP approach, which is not able to handle this problem.
4 - Managing Appointment-based Health Services under
Patient Choices
Nan Liu, Columbia University, 722 W. 168th. St., New York, NY,
United States of America,
nl2320@columbia.edu,
Peter Van De Ven, Bo Zhang
This talk provides a framework to critique two main scheduling paradigms
currently used in the healthcare market: non-sequential (online) appointment
scheduling and sequential (similar to over-the-phone) scheduling. We develop
dynamic programming models and approximate algorithms to solve them. We
show that a significant efficiency improvement can be achieved by carefully
modeling the scheduling process and explicitly accounting for patient choice.