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Articles 1 - 18 of 18
Full-Text Articles in Business
Optimal Channel Strategy Of Luxury Brands In The Presence Of Online Marketplace And Copycats, Sarah Yini Gao, Wei Shi Lim, Ziqiu Ye
Optimal Channel Strategy Of Luxury Brands In The Presence Of Online Marketplace And Copycats, Sarah Yini Gao, Wei Shi Lim, Ziqiu Ye
Research Collection Lee Kong Chian School Of Business
The strategic interaction between authentic luxury brands and their copycats has evolved since the proliferation of online marketplaces. Using a game-theoretic framework, we examine how an authentic luxury brand, observing the strategic behavior of its competing copycats, should make its optimal entry decision to a third-party online marketplace. Our findings reveal that the authentic luxury brand does not sell on the online marketplace when either the quality or the physical resemblance of the copycat to the authentic luxury brand is high. This contributes to the related literature by offering an explanation for the increasing quality of copycats amid the e-commerce …
Can Big Data Cure Risk Selection In Healthcare Capitation Program? A Game Theoretical Analysis, Zhaowei She, Turgay Ayer, Daniel Montanera
Can Big Data Cure Risk Selection In Healthcare Capitation Program? A Game Theoretical Analysis, Zhaowei She, Turgay Ayer, Daniel Montanera
Research Collection Lee Kong Chian School Of Business
Problem definition: This paper analyzes a market design problem in Medicare Advantage (MA), the largest risk-adjusted capitation payment program in the U.S. healthcare market. Evidence exists that the current MA capitation payment program unintentionally incentivizes health plans to cherry pick profitable patient types, which is referred to as “risk selection”. However, the root causes of the risk selection are not comprehensively understood, which we study in this paper. Academic / Practical Relevance: The existing literature primarily attributes the observed risk selection in MA market to data limitations and low explanatory power (e.g. low R2) of the current risk adjustment design. …
Riding Off Into The Sunset: Dual-Class Structure In The Age Of Unicorns Going Public, Hao Liang, Junho Park, Wei Zhang
Riding Off Into The Sunset: Dual-Class Structure In The Age Of Unicorns Going Public, Hao Liang, Junho Park, Wei Zhang
Research Collection Lee Kong Chian School Of Business
The increasing adoption of dual-class shares (DCS)—an ownership structure that gives corporate insiders greater voting power than other shareholders—among newly listed companies has raisedsignificant governance concerns. We investigate the decision to adopt the DCS structure and itsvalue implications in the recent U.S. IPOs. Using founder cultural traits and Silicon Valley lawfirms as instrumental variables, we find significant post-IPO outperformance by firms adopting DCSwith a sunset clause, especially incapacity-based sunset which stipulates that the DCS will ceaseafter founders’ death, incapacitation or departure, compared to non-DCS firms and DCS firms without sunsets. This outperformance is more pronounced for high-tech firms, after Google’s …
Smart Charging Of Electric Vehicle: An Innovative Business Model For Utility Firms, Owen Wu, Safak Yucel, Yangfang (Helen) Zhou
Smart Charging Of Electric Vehicle: An Innovative Business Model For Utility Firms, Owen Wu, Safak Yucel, Yangfang (Helen) Zhou
Research Collection Lee Kong Chian School Of Business
Problem Definition: By providing an environmentally friendly alternative to traditional vehicles, electric vehicles will transform urban mobility, particularly in smart cities. In practice, once an electric vehicle is plugged in, the charging station completes charging as soon as possible. Given that the procurement cost of electricity and associated emissions vary significantly during a day, substantial savings can be achieved by smart charging—delaying charging until the cost is lower. In this paper, we study smart charging as an innovative business model for utility firms. Practical Relevance: Utility firms are already investing in charging stations and they can achieve significant cost savings …
Pricing And Quality Strategies For An On-Demand Housekeeping Platform With Customer-Intensive Services, Jianjun Yu, Yanli Fang, Yuanguang Zhong, Xiong Zhang, Ruijie Zhang
Pricing And Quality Strategies For An On-Demand Housekeeping Platform With Customer-Intensive Services, Jianjun Yu, Yanli Fang, Yuanguang Zhong, Xiong Zhang, Ruijie Zhang
Research Collection Lee Kong Chian School Of Business
In this paper, we study an on-demand housekeeping platform in which suppliers have hetero-geneous opportunity costs, and customers are sensitive to service quality, price, and waitingtime. The platform charges fees from customers and divides revenue with service suppliers ina certain proportion. We analyze two types of market coverage, namely full market coverageand partial market coverage. We find that as the potential demand market capacity expands,the platform will choose to lower prices to attract more customers and service suppliers until itreaches the partial market, thereby obtaining higher revenue, and suppliers will provide lowerquality services to serve more customers and thus obtain …
Economic And Environmental Implications Of Biomass Commercialization In Agricultural Processing, Bin Li, Onur Boyabatli, Buket Avci
Economic And Environmental Implications Of Biomass Commercialization In Agricultural Processing, Bin Li, Onur Boyabatli, Buket Avci
Research Collection Lee Kong Chian School Of Business
Motivated by the agricultural industries, this paper studies the economic and environmental implications of biomass commercialization; that is, converting organic waste into a saleable product, from the perspective of a processor that uses a commodity input to produce both a commodity output and biomass. We characterize the economic value of biomass commercializa- tion and examine how input and output spot price uncertainties affect this value. Using a model calibration, we find that lower input spot price variability or higher output spot price variabil- ity or correlation between the two spot prices increases this value for a typical palm oil mill. …
Endogeneity Of Commodity Price In Freight Cost Models, Kian Guan Lim
Endogeneity Of Commodity Price In Freight Cost Models, Kian Guan Lim
Research Collection Lee Kong Chian School Of Business
In this paper, we answer a novel question on how the value of goods carried can affect the freight cost. We focus on the issue based on a more specialized freight market involving transport of seaborne iron ore from mining ports to Qingdao in China during the period 2014 to 2019. We construct simultaneous systems of demand–supply equations on both the iron ore market and the freight market. In the models, we explain how endogeneity of iron ore as a regressor can arise due to the nexus between the two markets, and that the freight demand is largely a derived …
Seachi 2022 Symposium: Bringing Equality, Justice, And Access To Hci And Ux Agenda In Southeast Asia Region, Eunice Sari, Masitah Ghazali, Adi B. Tedjasaputra, Yohannes Kurniawan, Thippaya Chintakovid, Siranee Nuchitprasitchai, Ellya Zulaikha, Noris Binti Mohd Norowi, Tamas Makany
Seachi 2022 Symposium: Bringing Equality, Justice, And Access To Hci And Ux Agenda In Southeast Asia Region, Eunice Sari, Masitah Ghazali, Adi B. Tedjasaputra, Yohannes Kurniawan, Thippaya Chintakovid, Siranee Nuchitprasitchai, Ellya Zulaikha, Noris Binti Mohd Norowi, Tamas Makany
Research Collection Lee Kong Chian School Of Business
Southeast Asia that consists of eleven countries, has been proud of its way of life and rich culture and is generally happy to maintain its long comforting tradition. However, the region cannot deny that its diverse population and strategic location have become a center of attention for global players to invest in the region. With the emergence of Industry 4.0, digital transformation has become mandatory for any organizations or nations in Southeast Asia to consider. Through SEACHI (Southeast Asian CHI) Symposium, we aim to grow awareness in HCI and UX to improve the design and development of technology for a …
Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke
Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke
Research Collection Lee Kong Chian School Of Business
In this paper, we consider the multi-period joint capacity allocation and job assignment problem. The goal of the planner is to simultaneously decide on allocating resources across the J different supply nodes, and assigning of jobs of I different demand origins to these J nodes, so as to maximize the reward for matching or minimize the cost of failure to match. We furthermore consider three features: (i) supply is replenishable after random time, (ii) demand is random; and (iii) demand can wait and need not be fully fulfilled immediately. Such problems emerge in many service management settings such as ride-sharing …
Pricing Under Uncertainty: Forward And Option Pricing In Sports Markets, Preethika Sainam, Sridhar Balasubramanian, Shantanu Bhattacharya, Lin L. Ong
Pricing Under Uncertainty: Forward And Option Pricing In Sports Markets, Preethika Sainam, Sridhar Balasubramanian, Shantanu Bhattacharya, Lin L. Ong
Research Collection Lee Kong Chian School Of Business
Tickets to popular elimination style tournaments (e.g., NFL Super Bowl) are expensive and scarce. Sports organizations sell these tickets well in advance of the final game. Fans hesitate to buy them because they are unsure about whether their favorite team will play in it. We present two alternatives to the current practice: consumer forwards and options. A fan pays a reserve price to secure her team-specific forward ticket. If that team makes it to the final game, the fan must (in the option case, has the choice to) pay an exercise price to purchase the ticket. If the team does …
On The Test Accuracy And Effective Control Of The Covid-19 Pandemic: A Case Study In Singapore, Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng
On The Test Accuracy And Effective Control Of The Covid-19 Pandemic: A Case Study In Singapore, Guang Cheng, Sarah Yini Gao, Yancheng Yuan, Chenxiao Zhang, Zhichao Zheng
Research Collection Lee Kong Chian School Of Business
This study examines the impact of coronavirus disease 2019 (COVID-19) test accuracy (i.e., sensitivity and specificity) on the progression of the pandemic under two scenarios of limited and unlimited test capacity. We extend the classic susceptible–exposed–infectious–recovered model to incorporate test accuracy and compare the progression of the pandemic under various sensitivities and specificities. We find that high-sensitivity tests effectively reduce the total number of infections only with sufficient testing capacity. Nevertheless, with limited test capacity and a relatively high cross-infection rate, the total number of infected cases may increase when sensitivity is above a certain threshold. Despite the potential for …
Stochastic Knapsack Revisited: The Service Level Perspective, Guodong Lyu, Mabel C. Chou, Chung-Piaw Teo, Zhichao Zheng, Yuanguang Zhong
Stochastic Knapsack Revisited: The Service Level Perspective, Guodong Lyu, Mabel C. Chou, Chung-Piaw Teo, Zhichao Zheng, Yuanguang Zhong
Research Collection Lee Kong Chian School Of Business
A key challenge in the resource allocation problem is to find near-optimal policies to serve different customers with random demands/revenues, using a fixed pool of capacity (properly configured). In this paper, we study the properties of three classes of allocation policies-responsive (with perfect hindsight), adaptive (with information updates), and anticipative (with forecast information) policies. These policies differ in how the information on actual demand and revenue of each customer is being revealed and integrated into the allocation decisions. We show that the analysis of these policies can be unified through the notion of "persistency" (or service level) values-the probability that …
Impact Of Restrictive Red Blood Cell Transfusion Strategy On Thrombosis-Related Events: A Meta-Analysis And Systematic Review, Mairehaba Maimaitiming, Chenxiao Zhang, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
Impact Of Restrictive Red Blood Cell Transfusion Strategy On Thrombosis-Related Events: A Meta-Analysis And Systematic Review, Mairehaba Maimaitiming, Chenxiao Zhang, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
Research Collection Lee Kong Chian School Of Business
Background and Objectives There is an ongoing controversy regarding the risks of restrictive and liberal red blood cell (RBC) transfusion strategies. This meta-analysis assessed whether transfusion at a lower threshold was superior to transfusion at a higher threshold, with regard to thrombosis-related events, that is, whether these outcomes can benefit from a restrictive transfusion strategy is debated. Materials and Methods We searched PubMed, Cochrane Central Register of Controlled Trials and Scopus from inception up to 31 July 2021. We included randomized controlled trials (RCTs) in any clinical setting that evaluated the effects of restrictive versus liberal RBC transfusion in adults. …
R&D Consortia In Competitive Supply Chains, Pascale Crama, Gaoyan Lu, Yi Xu
R&D Consortia In Competitive Supply Chains, Pascale Crama, Gaoyan Lu, Yi Xu
Research Collection Lee Kong Chian School Of Business
R&D consortia, which coordinate R&D activities of their member firms, have been successful in many industries. We study a model with two competing supply chains each consisting of a manufacturer and a supplier. The manufacturers compete in the final product market, and can conduct R&D to reduce unit product costs of their final products. The R&D can be done in three different ways: by the two manufacturers independently, by them jointly in a horizontal R&D consortium, or by the supplier and the manufacturer jointly in each supply chain in two vertical R&D consortia. We find that as compared to independent …
A Constraint Programming Approach To Load Capacity Planning In Container Vessels, Byung Kwon Lee, Joyce M. W. Low
A Constraint Programming Approach To Load Capacity Planning In Container Vessels, Byung Kwon Lee, Joyce M. W. Low
Research Collection Lee Kong Chian School Of Business
A container vessel carries containers of various characteristics, in terms of size, weight, and contents. The cargo load of a container vessel, being subjected to a set of operational conditions and restrictions regarding ship stability and safety, is a fundamental element in decision-making when a shipping line provides logistics services to clients. This study presents a constraint programming-based model for the capacity planning of a container vessel under various operational conditions. The proposed model generates base solutions and is complemented with a rich scenario-based analysis that utilizes real-life ship data of a container vessel operated by a liner shipping company …
The Moderating Effect Of Solar Radiation On The Association Between Human Mobility And Covid-19 Infection In Europe, Wenyu Zhao, Yongjian Zhu, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
The Moderating Effect Of Solar Radiation On The Association Between Human Mobility And Covid-19 Infection In Europe, Wenyu Zhao, Yongjian Zhu, Jingui Xie, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
Research Collection Lee Kong Chian School Of Business
The novel coronavirus disease 2019 (COVID-19) has caused a global pandemic. Some studies have suggested a negative association between sunlight intensity and COVID-19 infection, alluding to the belief that it might be safe to go out on sunny days. This paper examined whether solar radiation mitigated the association between human mobility and COVID-19 infection in Europe using a dynamic panel data model to investigate the effect of human mobility, solar radiation, and their interaction on COVID-19 infection. The results revealed that outgoing mobility was positively correlated and solar radiation was negatively correlated with COVID-19 infection at lag levels of 1, …
Schedule Reliability In Liner Shipping Timetable Design: A Convex Programming Approach, Abraham Zhang, Zhichao Zheng, Chung-Piaw Teo
Schedule Reliability In Liner Shipping Timetable Design: A Convex Programming Approach, Abraham Zhang, Zhichao Zheng, Chung-Piaw Teo
Research Collection Lee Kong Chian School Of Business
Container liner shipping is the primary mode of moving manufactured products across continents. Partly due to inherent uncertainties at sea and ports, the liner shipping industry has long had a notorious reputation of schedule delays and unreliable on-time performance. This paper formulates a new approach to incorporate schedule reliability targets in liner shipping timetable design, to balance bunker consumption, time taken for the voyage, and schedule delays. We first model a surrogate problem using a copositive program through a moment decomposition approach and solve it as a convex semidefinite programming relaxation. We next incorporate schedule reliability targets implicitly by exploiting …
Managing Stochastic Bucket Brigades On Discrete Work Stations, Peng Wang, Kai Pan, Zhenzhen Yan, Yun Fong Lim
Managing Stochastic Bucket Brigades On Discrete Work Stations, Peng Wang, Kai Pan, Zhenzhen Yan, Yun Fong Lim
Research Collection Lee Kong Chian School Of Business
Bucket brigades are notably used to coordinate workers in production systems. We study a J-station, I-worker bucket brigade system. The time duration for each worker to serve a job at a station is exponentially distributed with a rate that depends on the station's expected work content and the worker's work speed. Our goal is to maximize the system's productivity or to minimize its inter-completion time variability. We analytically derive the throughput and the coefficient of variation (CV) of the inter-completion time. We study the system under two cases. (i) If the work speeds depend only on the workers, the throughput …