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Association Between Hba1c And Deep Sternal Wound Infection After Coronary Artery Bypass: A Systematic Review And Meta-Analysis, Wenyu Zhao, Jingui Xie, Zhichao Zheng, Han Zhou, Oon Cheong Ooi, Haidong Luo Feb 2024

Association Between Hba1c And Deep Sternal Wound Infection After Coronary Artery Bypass: A Systematic Review And Meta-Analysis, Wenyu Zhao, Jingui Xie, Zhichao Zheng, Han Zhou, Oon Cheong Ooi, Haidong Luo

Research Collection Lee Kong Chian School Of Business

BackgroundDeep sternal wound infection (DSWI) constitutes a serious complication after coronary artery bypass grafting (CABG) surgery. The aim of this study is to evaluate the dose-response relationship between glycated hemoglobin (HbA1c) level and the risk of DSWI after CABG.MethodsPubMed, Scopus, and Cochrane Library databases were searched to identify potentially relevant articles. According to rigorous inclusion and exclusion criteria, fourteen studies including 15,570 patients were finally enrolled in our meta-analysis. Odds ratio (OR) with 95% confidence intervals (CIs) was used as the summary statistic. The robust-error meta-regression model was used to synthesize the dose-response relationship.ResultsOur meta-analysis shows that among patients undergoing …


Effect Of The Announcement Of Human-To-Human Transmission On Teleconsultation Services In China During Covid-19, Mairehaba Maimaitiming, Jingui Xie, Zhichao Zheng, Yongjian Zhu Dec 2023

Effect Of The Announcement Of Human-To-Human Transmission On Teleconsultation Services In China During Covid-19, Mairehaba Maimaitiming, Jingui Xie, Zhichao Zheng, Yongjian Zhu

Research Collection Lee Kong Chian School Of Business

Objectives: Telemedicine enables patients to communicate with physicians effectively, especially during the coronavirus disease (COVID-19) pandemic. However, few studies have explored the use of online health care platforms for a comprehensive range of specialties during the COVID-19 pandemic. This study aimed to investigate how telemedicine services were affected by the announcement of human-to-human transmission in China. Methods: Telemedicine data from haodf.com in China were collected. A difference-in-differences analysis compared the number of telemedicine use and the number of active online physicians for different specialties in 2020 with the numbers in 2019, before and after the announcement of human-to-human transmission. Results: …


Pricing Under Uncertainty: Forward And Option Pricing In Sports Markets, Preethika Sainam, Sridhar Balasubramanian, Shantanu Bhattacharya, Lin L. Ong Nov 2023

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 …


Maximizing The Benefits Of An On-Demand Workforce: Fill Rate-Based Allocation And Coordination Mechanisms, Tao Lu, Zhichao Zheng, Yuanguang Zhong Nov 2023

Maximizing The Benefits Of An On-Demand Workforce: Fill Rate-Based Allocation And Coordination Mechanisms, Tao Lu, Zhichao Zheng, Yuanguang Zhong

Research Collection Lee Kong Chian School Of Business

Problem definition: With the rapid growth of the gig economy, on-demand staffing platforms have emerged to help companies manage their temporary workforce. This emerging business-to-business context motivates us to study a new form of supply chain coordination problem. We consider a staffing platform managing an on-demand workforce to serve multiple firms facing stochastic labor demand. Before demand realization, each individual firm can hire permanent employees, whereas the platform determines a compensation rate for potential on-demand workers. After knowing the realized demand, firms in need can request on-demand workers from the platform, and then, the platform operator allocates the available on-demand …


Deploying Business Ecosystems To Cope With Ecological Transformation, Arnoud Cyriel Leo De Meyer Nov 2023

Deploying Business Ecosystems To Cope With Ecological Transformation, Arnoud Cyriel Leo De Meyer

Research Collection Lee Kong Chian School Of Business

At a time when businesses must innovate quickly and in support of sustainability, "going it alone" is no longer the most effective or efficient model. Business ecosystems – networks of companies, researchers and other stakeholders each involved in a given value chain – offer an effective route to companies seeking not only to find new advantages, but to drive wider systemic change. When innovation takes place through ecosystems, often, the results are faster to diffuse through an industry or value chain. To address needs of the ecological transformation like the transition to clean fuels, this is exactly what is needed; …


Dynamic Scheduling With Uncertain Job Types, Zuo-Jun Max Shen, Jingui Xie, Zhichao Zheng, Han Zhou Sep 2023

Dynamic Scheduling With Uncertain Job Types, Zuo-Jun Max Shen, Jingui Xie, Zhichao Zheng, Han Zhou

Research Collection Lee Kong Chian School Of Business

Uncertain job types can arise as a result of predictive or diagnostic inaccuracy in healthcare or repair service systems and unknown preferences in matching service systems. In this paper, we study systems with multiple types of jobs, in which type information is imperfect and will be updated dynamically. Each job has a prior probability of belonging to a certain type which may be predicted by data, models, or experts. A job can only be processed by the right machine, and a job assigned to the wrong machine must be rescheduled. More information is learned from the mismatch, and job type …


Subcontracting And Rework Cost Sharing In Engineering-Procurement-Construction Projects, Zhenzhen Chen, Wanshan Zhu, Pascale Crama Aug 2023

Subcontracting And Rework Cost Sharing In Engineering-Procurement-Construction Projects, Zhenzhen Chen, Wanshan Zhu, Pascale Crama

Research Collection Lee Kong Chian School Of Business

Infrastructure development projects are overwhelmingly managed through engineering–procurement–construction (EPC) contracts, which allow a project end user to shift all project risks to a contractor. Accordingly, the International Federation of Consulting Engineers recommended a contract template based on a lump-sum contract between the end user and main contractor. However, EPC projects often suffer from quality issues due to moral hazard, which is aggravated by the involvement of subcontractors hired by the main contractor to perform parts of the project. Besides, costly rework is frequently needed to achieve the contractually mandated quality. When the main contractor must share some of the subcontractor’s …


Bayesian Optimization With Switching Cost: Regret Analysis And Lookahead Variants, Peng Liu, Haowei Wang, Wei Qiyu Aug 2023

Bayesian Optimization With Switching Cost: Regret Analysis And Lookahead Variants, Peng Liu, Haowei Wang, Wei Qiyu

Research Collection Lee Kong Chian School Of Business

Bayesian Optimization (BO) has recently received increasing attention due to its efficiency in optimizing expensive-to-evaluate functions. For some practical problems, it is essential to consider the path-dependent switching cost between consecutive sampling locations given a total traveling budget. For example, when using a drone to locate cracks in a building wall or search for lost survivors in the wild, the search path needs to be efficiently planned given the limited battery power of the drone. Tackling such problems requires a careful cost-benefit analysis of candidate locations and balancing exploration and exploitation. In this work, we formulate such a problem as …


Not A Box Of Nuts And Bolts: Distribution Channels For Specialty Drugs?, Liang Xu, Vidya Mani, Hui Zhao Jul 2023

Not A Box Of Nuts And Bolts: Distribution Channels For Specialty Drugs?, Liang Xu, Vidya Mani, Hui Zhao

Research Collection Lee Kong Chian School Of Business

One of the most important trends in the pharmaceutical industry is the rapid growth of specialty drugs. Specialty drugs, mostly bio based, tend to be high risk, high priced, and more regulated than traditional drugs, resulting in unprecedented challenges in distribution. Such challenges lead to the emergence of specialty distributors (SDs), which, compared with traditional wholesalers (WSs), represent a more controlled channel and carry a smaller variety of drugs. Due to the risky nature of specialty drugs, manufacturers must consider the trade-off between access and control in determining whether to use SDs (partially or exclusively). Using a unique dataset assembled …


Inventory-Responsive Donor-Management Policy: A Tandem Queueing Network Model, Taozeng Zhu, Nicholas Teck Boon Yeo, Sarah Yini Gao, Gar Goei Loke Jul 2023

Inventory-Responsive Donor-Management Policy: A Tandem Queueing Network Model, Taozeng Zhu, Nicholas Teck Boon Yeo, Sarah Yini Gao, Gar Goei Loke

Research Collection Lee Kong Chian School Of Business

Problem definition: In the blood-donor-management problem, the blood bank incentivizes donors to donate, given blood inventory levels. We propose a model to optimize such incentivization schemes under the context of random demand, blood perishability, observation period between donations, and variability in donor arrivals and dropouts. Methodology/results: We propose an optimization model that simultaneously accounts for the dynamics in the blood inventory and the donor’s donation process, as a coupled queueing network. We adopt the Pipeline Queue paradigm, which leads us to a tractable convex reformulation. The coupled setting requires new methodologies to be developed upon the existing Pipeline Queue framework. …


The Downstream Impact Of Upstream Tariffs: Evidence From Investment Decisions In Supply Chains, Thorsten Martin, Clemens A. Otto Jun 2023

The Downstream Impact Of Upstream Tariffs: Evidence From Investment Decisions In Supply Chains, Thorsten Martin, Clemens A. Otto

Research Collection Lee Kong Chian School Of Business

We study how US manufacturing firms' investment responds to tariff reductions in supplier industries. Our estimates, based on tariff reductions following multinational trade agreements, suggest that a hypothetical 10% reduction of all upstream tariffs would increase downstream investment by 4% to 6%. This estimate is not explained by decreasing uncertainty and stems from tariff reductions for homogeneous and low-R\&D inputs, consistent with the investment response resulting from cost reductions rather than superior foreign technology embodied in imported inputs. Evidence from an instrumental variable estimation using the sudden increase in Chinese import penetration suggests that import competition also increases downstream investment.


An Exponential Cone Programming Approach For Managing Electric Vehicle Charging, Li Chen, Long He, Yangfang (Helen) Zhou May 2023

An Exponential Cone Programming Approach For Managing Electric Vehicle Charging, Li Chen, Long He, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

To support the rapid growth in global electric vehicle adoption, public charging of electric vehicles is crucial. We study the problem of an electric vehicle charging service provider, which faces (1) stochastic arrival of customers with distinctive arrival and departure times, and energy requirements as well as (2) a total electricity cost including demand charges, costs related to the highest per-period electricity used in a finite horizon. We formulate its problem of scheduling vehicle charging to minimize the expected total cost as a stochastic program (SP). As this SP is large-scale, we solve it using exponential cone program (ECP) approximations. …


Forecasting Airport Transfer Passenger Flow Using Realtime Data And Machine Learning, Xiaojia Guo, Yael Grushka-Cockayne, Bert De Reyck Mar 2023

Forecasting Airport Transfer Passenger Flow Using Realtime Data And Machine Learning, Xiaojia Guo, Yael Grushka-Cockayne, Bert De Reyck

Research Collection Lee Kong Chian School Of Business

Problem definition: In collaboration with Heathrow airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces quantile forecasts for the number of passengers arriving at the immigration and security areas. Academic/Practical relevance: Airports and airlines have been challenged to improve decision-making by producing accurate forecasts in real time. Our work is the first to apply machine learning for predicting real-time quantile forecasts in the airport. We focus on passengers’ connecting journeys, which have only been studied by few researchers. Better forecasts of …


An Inertial Triple-Projection Algorithm For Solving The Split Feasibility Problems, Yazheng Dang, Marcus Ang, Jie Sun Mar 2023

An Inertial Triple-Projection Algorithm For Solving The Split Feasibility Problems, Yazheng Dang, Marcus Ang, Jie Sun

Research Collection Lee Kong Chian School Of Business

This paper proposes a new inertial triple-projection algorithm for solving the split feasibility problem (SFP).The process of projections is divided into three parts. Each part adopts a different variable stepsize to obtain its projection point, which is different from the existing extragradient methods. Flexible rules are employed for selecting the stepsizes and the inertial technique is used for improving the convergence. Convergence results are proven. Numerical experiments show that the proposed method converges more quickly than the general CQ algorithm.


Managing The Personalized Order-Holding Problem In Online Retailing, Shouchang Chen, Zhenzhen Yan, Yun Fong Lim Mar 2023

Managing The Personalized Order-Holding Problem In Online Retailing, Shouchang Chen, Zhenzhen Yan, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

Problem definition: A significant percentage of online consumers place consecutive orders within a short duration. To reduce the total order arrangement cost, an online retailer may consolidate consecutive orders from the same consumer. We investigate how long the retailer should hold the consumer’s orders before sending them to a third-party logistics provider (3PL) for processing. In this order-holding problem, we optimize the holding time to balance the total order arrangement cost and the potential delay in delivery. Methodology/results: We model the order-holding problem as a Markov Decision Process. We show that the optimal order-holding decisions follow a threshold-type policy that …


Vehicle Rebalancing In A Shared Micromobility System With Rider Crowdsourcing, Ziliang Jin, Yulan Wang, Yun Fong Lim, Kai Pan, Zuo-Jun Max Shen Mar 2023

Vehicle Rebalancing In A Shared Micromobility System With Rider Crowdsourcing, Ziliang Jin, Yulan Wang, Yun Fong Lim, Kai Pan, Zuo-Jun Max Shen

Research Collection Lee Kong Chian School Of Business

Problem definition: Shared micromobility vehicles provide an eco-friendly form of short-distance travel within an urban area. Since customers pick up and drop off vehicles in any service region at any time, such convenience often leads to a severe imbalance between vehicle supply and demand in different service regions. To overcome this, a micromobility operator can crowdsource individual riders with reward incentives in addition to engaging a third-party logistics provider (3PL) to relocate the vehicles. Methodology/results: We construct a time-space network with multiple service regions and formulate a twostage stochastic mixed-integer program considering uncertain customer demands. In the first stage, the …


Impact Of Cosmetic Standards On Food Loss, Pascale Crama, Yangfang (Helen) Zhou, Manman Wang Mar 2023

Impact Of Cosmetic Standards On Food Loss, Pascale Crama, Yangfang (Helen) Zhou, Manman Wang

Research Collection Lee Kong Chian School Of Business

A significant portion of the food loss in agricultural supply chains occurs at the farm level and has been linked to high cosmetic standards adopted by retailers regarding the size, color, and shape of the produce. We examine the economic incentives for retailers to adopt such high standards and their impact on food loss. We build a sequential game between a retailer and a farmer, where the retailer signs a contract with the farmer specifying both the wholesale price and cosmetic quality standard. Setting a high standard allows the retailer to sell the products at a price premium but increases …


Asymmetric Information Of Product Authenticity On C2c E-Commerce Platforms: How Can Inspection Services Help?, Linqiu Li, Xin Fang, Yun Fong Lim Mar 2023

Asymmetric Information Of Product Authenticity On C2c E-Commerce Platforms: How Can Inspection Services Help?, Linqiu Li, Xin Fang, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

Problem definition: We consider a customer-to-customer (C2C) platform that provides an inspection service. Uncertain about his product’s authenticity, a seller sells his product through the platform. Before purchasing, a buyer obtains a signal of the product authenticity from the product’s price set by the seller. The platform’s inspection service can detect a counterfeit with a probability. If the product passes the inspection, the platform sends it to the buyer and charges the seller a commission fee. Otherwise, the platform returns it to the seller and charges the seller a penalty fee. Methodology/results: We develop a two-stage game-theoretical model. In the …


Impacts Of Distributive Comparison Behavior On Corporate Social Responsibility In Supply Chains: The Role Of Small Firms, Mingzheng Wang, Xin Fang, Zizhuo Wang, Ying-Ju Chen Mar 2023

Impacts Of Distributive Comparison Behavior On Corporate Social Responsibility In Supply Chains: The Role Of Small Firms, Mingzheng Wang, Xin Fang, Zizhuo Wang, Ying-Ju Chen

Research Collection Lee Kong Chian School Of Business

Problem definition: In this paper, we explore how a firm’s concern about profit distribution and the size of downstream firms in supply chains affect corporate social responsibility (CSR) investment strategy. Methodology/results: In a supply chain consisting of one supplier and one manufacturer, both players decide whether to invest to reduce CSR violations, and they negotiate over a wholesale price. Distributive comparison behavior makes the manufacturer compare the profit with his equitable payoff, which is determined by the supplier’s profit. Advantageous (resp. disadvantageous) inequality occurs when the manufacturer’s profit is higher (resp. lower) than the manufacturer’s equitable payoff. We compare this …


R&D Consortia In Competitive Supply Chains, Pascale Crama, Gaoyan Lu, Yi Xu Jan 2023

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 …


Design Of Off-Grid Lighting Business Models To Serve The Poor: Field Experiments And Structural Analysis, Bhavani Shanker Uppari, Serguei Netessine, Ioana Popescu, Rowan P. Clarke Jan 2023

Design Of Off-Grid Lighting Business Models To Serve The Poor: Field Experiments And Structural Analysis, Bhavani Shanker Uppari, Serguei Netessine, Ioana Popescu, Rowan P. Clarke

Research Collection Lee Kong Chian School Of Business

A significant proportion of the world’s population has no access to grid-based electricity and so relies on off-grid lighting solutions. Rechargeable lamp technology is gaining popularity as an alternative off-grid lighting model in developing countries. In this paper, we explore consumer behavior and the operational inefficiencies that result under this model. Specifically, we are interested in (i) measuring the impact of inconvenience (of travelling to recharge the lamp) along with the impact of liquidity constraints (due to poverty) on lamp usage, and (ii) evaluating the efficacy of strategies that address these factors. We build a structural model of consumers’ recharge …


Putting Manufacturing On The Offensive, Arnoud De Meyer, Kasra Ferdows, Ann Vereecke Jan 2023

Putting Manufacturing On The Offensive, Arnoud De Meyer, Kasra Ferdows, Ann Vereecke

Research Collection Lee Kong Chian School Of Business

The path for elevating the role of manufacturing in the company strategy in the last few decades has been rather clear: Improve the basic production capabilities-typically quality, reliability, lead times, and cost efficiency of production processes. Leading Japanese companies, like Toyota, showed the way. But as many have heeded the advice and followed suit, this approach has become essentially a defensive strategy; you must do it not to fall behind. Has manufacturing lost its potential to create capabilities on which a company's strategy can rest? Our answer is absolutely not. In fact, unlike before, manufacturing has multiple paths for creating …


Designing Payment Models For The Poor, Bhavani Shanker Uppari, Sasa Zorc Jan 2023

Designing Payment Models For The Poor, Bhavani Shanker Uppari, Sasa Zorc

Research Collection Lee Kong Chian School Of Business

Several basic services, such as energy, clean water and cooking gas, are currently out of reach for millions of people living in poverty. There has been an emergence of private firms that offer these services by, for example, selling solar home systems or clean cooking packages with remote lockout capabilities. These firms deploy a pay-as-you-go (PAYGo) model in which consumers are given the flexibility to manage the amount and frequency of their payments based on their own erratic cash flows. However, because a firm under this model cannot observe how much money the consumers have, they can pay less to …


Which Businesses Enroll In Innovation Training? Evidence From A Field Experiment, Pascale Crama, Reddi Kotha, Cintia Kulzer Sacilotto, Vish Krishnan Jan 2023

Which Businesses Enroll In Innovation Training? Evidence From A Field Experiment, Pascale Crama, Reddi Kotha, Cintia Kulzer Sacilotto, Vish Krishnan

Research Collection Lee Kong Chian School Of Business

We report results from a field experiment testing hypotheses that examine what drives firms to seek new learning opportunities. Specifically, we draw on behavioral theory of the firm to predict how prior performance affects the likelihood a firm enrolls in business training. We also evaluate cognitive mechanisms connecting recruitment messaging and CEO growth orientation to firm participation. Our study randomly allocates over 10,000 firms to one of three experimental conditions—prevention, promotion, and neutral messaging—that vary the framing of a recruitment message for an innovation program for small and medium enterprises (SMEs) in Singapore. We leverage pre-treatment heterogeneity in firm performance …


Optimal Channel Strategy Of Luxury Brands In The Presence Of Online Marketplace And Copycats, Sarah Yini Gao, Wei Shi Lim, Ziqiu Ye Dec 2022

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 Nov 2022

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 Oct 2022

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 Sep 2022

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 Aug 2022

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 Jul 2022

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. …