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Singapore Management University

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Articles 181 - 210 of 409

Full-Text Articles in Operations and Supply Chain Management

Global Value Chains And The Cptpp, Pao-Li Chang, Tran Bao Phuong Nguyen Jun 2019

Global Value Chains And The Cptpp, Pao-Li Chang, Tran Bao Phuong Nguyen

SMU Economics and Statistics Working Paper Series

The CPTPP, or the Comprehensive and Progressive Agreement for Trans-Pacific Partnership, is an example of a “mega-regional” free trade agreement, whose provisions on the rules of origin and trade facilitation can have potentially large impacts on the CPTPP-wide supply chains. In this paper, we investigate whether the CPTPP members are key upstream and downstream trade partners to each other in the global value chains. We develop formulas of bilateral upstreamness and downstreamness, based on the gross-export decomposition framework of Koopman, Wang and Wei (2014) and Borin and Mancini (2017). We demonstrate how the decomposition of gross exports can be used …

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Understanding The Operating Landscape Of The Global Airline Industry: A Dea Integrated Alternating Conditional Expectation Approach, Joyce M. W. Low, Kum Khiong Yang Jun 2019

Understanding The Operating Landscape Of The Global Airline Industry: A Dea Integrated Alternating Conditional Expectation Approach, Joyce M. W. Low, Kum Khiong Yang

Research Collection Lee Kong Chian School Of Business

Purpose: This study investigates the relationships between service efficiency in 5 major cost centres (namely, business orientation, network coverage, physical resources, maintenance, repair and overhaul (MRO), and human resources) and profitability in the global airline industry. Design/methodology: The study integrates the Slack-based Model (SBM) of Data Envelopment Analysis (DEA) with the Alternating Conditional Expectation (ACE) regression to understand the relationships between an airline’s profitability and its efficiencies in 5 identified operations areas. Findings: Based on the observational data obtained from 75 international airlines, the relationships between operational performances and profitability are found to be curvilinear and contingent on an airline’s …

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Global Value Chains And The Cptpp, Pao-Li Chang, Tran Bao Phuong Nguyen Jun 2019

Global Value Chains And The Cptpp, Pao-Li Chang, Tran Bao Phuong Nguyen

Research Collection School Of Economics

The CPTPP, or the Comprehensive and Progressive Agreement for Trans-Pacific Partnership, is an example of a “mega-regional” free trade agreement, whose provisions on the rules of origin and trade facilitation can have potentially large impacts on the CPTPP-wide supply chains. In this paper, we investigate whether the CPTPP members are key upstream and downstream trade partners to each other in the global value chains. We develop formulas of bilateral upstreamness and downstreamness, based on the gross-export decomposition framework of Koopman, Wang and Wei (2014) and Borin and Mancini (2017). We demonstrate how the decomposition of gross exports can be used …

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Crop Planning In Sustainable Agriculture: Dynamic Farmland Allocation In The Presence Of Crop Rotation Benefits, Onur Boyabatli, Javad Nasiry, Yangfang (Helen) Zhou May 2019

Crop Planning In Sustainable Agriculture: Dynamic Farmland Allocation In The Presence Of Crop Rotation Benefits, Onur Boyabatli, Javad Nasiry, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

This paper examines crop planning decision in sustainable agriculture---that is, how to allocate farmland among multiple crops in each growing season when the crops have rotation benefits across growing seasons. We consider a farmer who periodically allocates the farmland between two crops in the presence of revenue uncertainty where revenue is stochastically larger and farming cost is lower when a crop is grown on rotated farmland (where the other crop was grown in the previous season). We characterize the optimal dynamic farmland allocation policy and perform sensitivity analysis to investigate how revenue uncertainty of each crop affects the farmer's optimal …

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Disruption Risk Mitigation In Supply Chains: The Risk Exposure Index Revisited, Sarah Yini Gao, David Simchi-Levi, Chung-Piaw Teo, Zhenzhen Yan May 2019

Disruption Risk Mitigation In Supply Chains: The Risk Exposure Index Revisited, Sarah Yini Gao, David Simchi-Levi, Chung-Piaw Teo, Zhenzhen Yan

Research Collection Lee Kong Chian School Of Business

Simchi-Levi et al. (2014, 2015a) proposed a novel approach using the Time-To-Recover (TTR) parameters to analyze the Risk Exposure Index (REI) of supply chains under disruption. This approach is able to capture the cascading effects of disruptions in the supply chains, albeit in simplified environments -- TTRs are deterministic, and at most one node in the supply chain can be disrupted. In this paper, we proposed a new method to integrate probabilistic assessment of disruption risks into the REI approach and measure supply chain resiliency by analyzing the Worst-case CVaR (WCVaR) of total lost sales under disruptions.We show that the …

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Combating Child Labor: Incentives And Information Disclosure In Global Supply Chains, Soo-Haeng Cho, Xin Fang, Sridhar Tayur, Ying Xu May 2019

Combating Child Labor: Incentives And Information Disclosure In Global Supply Chains, Soo-Haeng Cho, Xin Fang, Sridhar Tayur, Ying Xu

Research Collection Lee Kong Chian School Of Business

Problem definition: We investigate multinational firms’ inspection and pricing strategies to address the challenges of combating child labor in global supply chains. We also examine how several factors (such as information disclosure, goodwill loss, inspection cost, external monitoring by nongovernmental organizations (NGOs), and penalty scheme) affect firms’ incentives to use different strategies to combat child labor. Academic/practical relevance: Nearly 200 million children are engaged in child labor, many in developing countries that are part of the supply base of global manufacturing networks. However, there has been little research on evaluating the impact of firms’ strategies and NGOs’ initiatives …

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Managing Wind-Based Electricity Generation In The Presence Of Storage And Transmission Capacity, Yangfang (Helen) Zhou, Alan Scheller-Wolf, Nicola Secomandi, Stephen Smith Apr 2019

Managing Wind-Based Electricity Generation In The Presence Of Storage And Transmission Capacity, Yangfang (Helen) Zhou, Alan Scheller-Wolf, Nicola Secomandi, Stephen Smith

Research Collection Lee Kong Chian School Of Business

We investigate the management of a merchant wind energy farm co‐located with a grid‐level storage facility and connected to a market through a transmission line. We formulate this problem as a Markov decision process (MDP) with stochastic wind speed and electricity prices. Consistent with most deregulated electricity markets, our model allows these prices to be negative. As this feature makes it difficult to characterize any optimal policy of our MDP, we show the optimality of a stage‐ and partial‐state‐dependent‐threshold policy when prices can only be positive. We extend this structure when prices can also be negative to develop heuristic one …

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Installed Base Management Versus Selling In Monopolistic And Competitive Environments, Shantanu Bhattacharya, Andreas Robotis, Wassenhove Luk N. V. Van Mar 2019

Installed Base Management Versus Selling In Monopolistic And Competitive Environments, Shantanu Bhattacharya, Andreas Robotis, Wassenhove Luk N. V. Van

Research Collection Lee Kong Chian School Of Business

This paper compares the policy of selling a product to that of installed base management, in which the manufacturer leases the product to consumers, and bundles repair and maintenance services along with the product. We compare the two policies in a monopolistic setting when a firm uses either one of the policies, and when both policies are used by a single firm. We then compare the policies under competition first when two firms use identical products, and when two firms use vertically differentiated products. Our findings indicate that the selling option dominates the installed base option in a monopolistic environment, …

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Corn, Soybeans Or Fallow: Dynamic Farmland Allocation Under Uncertainty, Onur Boyabatli, Javad Nasiry, Yangfang (Helen) Zhou Mar 2019

Corn, Soybeans Or Fallow: Dynamic Farmland Allocation Under Uncertainty, Onur Boyabatli, Javad Nasiry, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

This chapter develops a theoretical basis for understanding the trade-offs facing a farmer for allocating his farmland among several crops over multiple growing seasons. Specifically, we focus on the farmland allocation among two cash crops (corn and soybeans) and letting the farmland lay fallow to rejuvenate the soil and increase the revenue for the crop grown on this farmland in the subsequent seasons. In each growing period, the farmer chooses the allocation in the presence of revenue uncertainty for each cash crop, and crop rotation benefits across periods, where revenue is stochastically larger and farming cost is lower when a …

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Selling Off-Grid Light To Liquidity Constrained Consumers, Bhavani Shanker Uppari, Ioana Popescu, Serguei Netessine Mar 2019

Selling Off-Grid Light To Liquidity Constrained Consumers, Bhavani Shanker Uppari, Ioana Popescu, Serguei Netessine

Research Collection Lee Kong Chian School Of Business

Problem definition: A large proportion of the world’s population has no access to electricity and so relies on noxious kerosene for their lighting needs. Solar-based solutions require a large up-front investment and are often unaffordable in this market owing to consumers’ tight liquidity constraints. As an alternative, there are business models relying on rechargeable light bulbs that are sold at a subsidized price (which renders them affordable) and require regular micropayments for recharges (which eases liquidity constraints). These bulbs provide a cheaper and healthier light source than kerosene, yet their adoption is lower than expected, and some consumers continue …

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Encouraging Help Across Projects, Pascale Crama, Fabian J. Sting, Yaozhong Wu Mar 2019

Encouraging Help Across Projects, Pascale Crama, Fabian J. Sting, Yaozhong Wu

Research Collection Lee Kong Chian School Of Business

Companies struggle with timely project execution despite employing sophisticated management methods. Although help across projects is critical for time performance, it has not been explicitly incorporated into project management (PM) systems. We model a PM system, based on an innovative real-life practice, that both incorporates and shapes project managers’ helping behavior. A help process is at the core of this system, in which project managers may ask for and provide help while top management facilitates such exchanges. We find that companies should take a nuanced approach when designing help exchange and time-based incentives in tandem. A company that faces high …

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Risk Pooling, Supply Chain Hierarchy, And Analysts' Forecasts, Nan Hu, Jian-Yu Ke, Ling Liu, Yue Zhang Feb 2019

Risk Pooling, Supply Chain Hierarchy, And Analysts' Forecasts, Nan Hu, Jian-Yu Ke, Ling Liu, Yue Zhang

Research Collection School Of Computing and Information Systems

We investigate whether a firm's risk pooling affects its analysts' forecasts, specifically in terms of forecast accuracy and their use of public vs. private information, and how risk pooling interacts with a firm's position in the supply chain to affect analysts' forecasts. We use a social network analysis method to operationalize risk pooling and supply chain hierarchy, and find that risk pooling significantly reduces analysts' forecast errors and increases (decreases) their use of public (private) information. We also find that the positive (negative) relationships between risk pooling and analyst forecast accuracy and analysts' use of public (private) information are more …

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Is Promoting Public Transit An Effective Intervention For Obesity? A Longitudinal Study Of The Relation Between Public Transit Usage And Obesity, Zhaowei She, Douglas M. King, Jacobson H. Sheldon Jan 2019

Is Promoting Public Transit An Effective Intervention For Obesity? A Longitudinal Study Of The Relation Between Public Transit Usage And Obesity, Zhaowei She, Douglas M. King, Jacobson H. Sheldon

Research Collection Lee Kong Chian School Of Business

There is increasing evidence on the association between public transit usage and obesity. To further understand the causal impact of changes in county public transit usage on county obesity rates, this paper presents a longitudinal study on this topic. Annual health data from the Behavioral Risk Factor Surveillance System (BRFSS) and transportation data from the National Household Travel Survey (NHTS) were aggregated and matched at the county level, to create a panel data set with 227 counties from 45 states across two time periods, 2001 and 2009. Annual public transit funding, obtained from the National Transit Database (NTD), is chosen …

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Made In Singapore, Pao-Li Chang, Phuong T. B. Nguyen Jan 2019

Made In Singapore, Pao-Li Chang, Phuong T. B. Nguyen

Research Collection School Of Economics

In this paper, we characterize the position of Singapore in global value chains and identify Singapore's key upstream and downstream trade partners. We trace how the position of Singapore in global value chains has changed in the past two decades: whether it has moved upstream or downstream, how involved it is in global value chains, how its trend compares with other major Asian exporting countries (China, Japan, Korea and Taiwan), and which key sectors of Singapore play a major role in these global trade networks.

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Single Sourcing Versus Multisourcing: The Roles Of Output Verifiability On Task Modularity, Shantanu Bhattacharya, Alok Gupta, Sameer Hasija Dec 2018

Single Sourcing Versus Multisourcing: The Roles Of Output Verifiability On Task Modularity, Shantanu Bhattacharya, Alok Gupta, Sameer Hasija

Research Collection Lee Kong Chian School Of Business

This paper compares two modes for outsourcing the development of information services projects: single-sourcing (where one vendor handles all outsourced activities) and multisourcing (where multiple vendors handle those activities). We assess the relative efficacy of these two outsourcing modes by identifying the effects of three factors: task modularity, the extent of alignment between a (verifiable) performance metric and project revenue, and the extent to which project revenue is itself verifiable. We find that if tasks are modular then multisourcing strictly dominates single-sourcing—provided the verifiable performance metric and project revenue are not completely aligned. Yet if tasks are integrated, then the …

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International Trade In The Alibaba And Amazon Age, Singapore Management University Nov 2018

International Trade In The Alibaba And Amazon Age, Singapore Management University

Perspectives@SMU

Mindset change is needed to capture shifting value in the value chain; implementing straight-through payment is still an obstacle

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Double Learning Or Double Blinding: An Investigation Of Vendor Private Information Acquisition And Consumer Learning Via Online Reviews, Nan Hu, Kevin E. Dow, Alain Yee Loong Chong, Ling Liu Nov 2018

Double Learning Or Double Blinding: An Investigation Of Vendor Private Information Acquisition And Consumer Learning Via Online Reviews, Nan Hu, Kevin E. Dow, Alain Yee Loong Chong, Ling Liu

Research Collection School Of Computing and Information Systems

In this paper, building upon information acquisition theory and using portfolio methods and system equations, we made an empirical investigation into how online vendors and consumers are learning from each other, and how online reviews, prices, and sales interact among each other. First, this study shows that vendors acquire information from both private and public channels to learn the quality of their products to make price adjustment. Second, for the more popular products and newly released products, vendors are more motivated to acquire private information that is more precise than the average precision to adjust their price. Third, we document …

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Decentralized Planning For Non-Dedicated Agent Teams With Submodular Rewards In Uncertain Environments, Pritee Agrawal, Pradeep Varakantham, William Yeoh Sep 2018

Decentralized Planning For Non-Dedicated Agent Teams With Submodular Rewards In Uncertain Environments, Pritee Agrawal, Pradeep Varakantham, William Yeoh

Research Collection School Of Computing and Information Systems

Decentralized planning under uncertainty foragent teams is a problem of interest in manydomains including (but not limited to) disaster rescue, sensor networks and security patrolling. Decentralized MDPs, Dec-MDPs havetraditionally been used to represent such decentralized planning under uncertainty problems.However, in many domains, agents may notbe dedicated to the team for the entire timehorizon. For instance, due to limited availability of resources, it is quite common for policepersonnel leaving patrolling teams to attend toaccidents. Such non-dedication can arise dueto the emergence of higher priority tasks ordamage to existing agents. However, there isvery limited literature dealing with handlingof non-dedication in decentralized settings. …

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Event-Based Allocation Of Airline Check-In Counters: A Simple Dynamic Optimization Method Supported By Empirical Data, Mahmut Parlar, Brian Rodrigues, Sharafali Moosa Sep 2018

Event-Based Allocation Of Airline Check-In Counters: A Simple Dynamic Optimization Method Supported By Empirical Data, Mahmut Parlar, Brian Rodrigues, Sharafali Moosa

Research Collection Lee Kong Chian School Of Business

This paper studies the real-life problem of dynamically optimizing the number of airport check-in counters to allocate for a single flight. The main feature of our work is the use of empirical data collected at the Singapore Changi Airport, which drives the dynamic optimization model of a parallel queues system. We propose an event-based dynamic programming model that simplifies considerably the optimization analysis even for large-scale problems with 700+ booked passengers. We investigate the following research questions: (a) For a particular flight, what is the optimal number of counters the system should open with and what is the corresponding optimal …

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Experience And Signaling Value In Technology Licensing Contract Payment Structures, Reddi Kotha, Pascale Crama, Phillip H. Kim Aug 2018

Experience And Signaling Value In Technology Licensing Contract Payment Structures, Reddi Kotha, Pascale Crama, Phillip H. Kim

Research Collection Lee Kong Chian School Of Business

Whencommercializing technology, the lack of proven results and a reluctance toinvest upfront resources hamper efforts by firms to work jointly with inventorsto bring new discoveries to market. An effective contract payment structure – amix of upfront and royalty payments – can help overcome these hurdles. Weconduct our research in university technology licensing, where licensingmanagers act as intermediaries to unite inventors and licensee firms. Rather than leveraging their experience to bargainfor maximum payments, highly experienced managers offer contractual paymentstructures that trade lower upfront payments for higher royalty payments inorder to signal value. The signal instills confidence in the value of the …

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Customer Level Predictive Modeling For Accounts Receivable To Reduce Intervention Actions, Michelle L. F. Cheong, Wen Shi Aug 2018

Customer Level Predictive Modeling For Accounts Receivable To Reduce Intervention Actions, Michelle L. F. Cheong, Wen Shi

Research Collection School Of Computing and Information Systems

One of the main costs associated with Accounts receivable (AR) collection is related to the intervention actions taken to remind customers to pay their outstanding invoices. Apart from the cost, intervention actions may lead to poor customer satisfaction, which is undesirable in a competitive industry. In this paper, we studied the payment behavior of invoices for customers of a logistics company, and used predictive modeling to predict if a customer will pay the outstanding invoices with high probability, in an attempt to reduce intervention actions taken, thus reducing cost and improving customer relationship. We defined a pureness measure to classify …

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Robust Assignment Of Customer Orders With Uncertain Configurations In A Production Network For Aircraft Manufacturing, Jens Buergin, Philippe Blaettchen, Juri Kronenbitter, Katharina Molzahn, Yannick Schweizer, Caroline Strunz, Manuel Almagro, Frank Bitte, Stephan Ruehr, Marcello Urgo, Gisela Lanza Jul 2018

Robust Assignment Of Customer Orders With Uncertain Configurations In A Production Network For Aircraft Manufacturing, Jens Buergin, Philippe Blaettchen, Juri Kronenbitter, Katharina Molzahn, Yannick Schweizer, Caroline Strunz, Manuel Almagro, Frank Bitte, Stephan Ruehr, Marcello Urgo, Gisela Lanza

Research Collection Lee Kong Chian School Of Business

Production of multi-variant products in a network requires the assignment of customer orders to locations and periods. This is a highly complex planning task, as requirements of procurement, production, distribution, and sales have to be considered. Providing customers with the flexibility of configuring their ordered products after order assignment further increases the complexity of the planning task by taking uncertainty into account. Therefore, a robust optimisation model, using scenarios representing potential customer-specific order configurations, is introduced. By providing enough flexibility to handle maximum work overload caused by the potential order configurations at locations, a robust assignment of orders can be …

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On The Design Of Sparse But Efficient Structures In Operations, Zhenzhen Yan, Sarah Yini Gao, Chung Piaw Teo Jul 2018

On The Design Of Sparse But Efficient Structures In Operations, Zhenzhen Yan, Sarah Yini Gao, Chung Piaw Teo

Research Collection Lee Kong Chian School Of Business

It is widely believed that a little flexibility added at the right place can reap significant benefits for operations. Unfortunately, despite the extensive literature on this topic, we are not aware of any general methodology that can be used to guide managers in designing sparse (i.e., slightly flexible) and yet efficient operations. We address this issue using a distributionally robust approach to model the performance of a stochastic system under different process structures. We use the dual prices obtained from a related conic program to guide managers in the design process. This leads to a general solution methodology for the …

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Optimal Stackelberg Strategies For Financing A Supply Chain Through Online Peer-To-Peer Lending, Guang-Xin Gao, Zhi-Ping Fan, Xin Fang, Yun Fong Lim Jun 2018

Optimal Stackelberg Strategies For Financing A Supply Chain Through Online Peer-To-Peer Lending, Guang-Xin Gao, Zhi-Ping Fan, Xin Fang, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

In recent years, supply chain finance (SCF) through online peer-to-peer (P2P) lending platforms has gained its popularity. We study an SCF system with a manufacturer selling a product to a retailer that faces uncertain demand over a single period. We assume that either the retailer or the manufacturer faces a capital constraint and must borrow capital through an online P2P lending platform. The platform determines a service rate for the loan, the manufacturer sets a wholesale price for the product, and the retailer chooses its order quantity for the product. We identify optimal Stackelberg strategies of the participants in the …

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Optimization Of A Cyclic Express Subway Service, Hai Wang, Jiangang Jin, Jingfeng Yang Jun 2018

Optimization Of A Cyclic Express Subway Service, Hai Wang, Jiangang Jin, Jingfeng Yang

Research Collection School Of Computing and Information Systems

With rapid population growth and increasing demand for urban mobility, metropolitan areas such as Singapore, Tokyo, and Shanghai are increasingly dependent on public transport systems. Various strategies are proposed to improve the service quality and capacity of bus and subway systems. Express trains-i.e., trains that skip certain stations-are commonly used, because they can travel at higher speeds, potentially reduce travel time, and serve more passengers. In this paper, we study cyclic express subway service (CESS), in which express trains provide routine transport service with cyclic (periodic) station-skip patterns that can be used in daily service. We propose an exact Mixed …

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Reserved Optimisation: Handling Incident Priorities In Emergency Response Systems, Muralidhar Konda, Supriyo Ghosh, Pradeep Varakantham Jun 2018

Reserved Optimisation: Handling Incident Priorities In Emergency Response Systems, Muralidhar Konda, Supriyo Ghosh, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

Emergency (medical, fire or criminal) Management Systems(EMSs) are crucial for ensuring public safety and security. Typically in many cities, less than 20% of the cases received by EMSs belong to the extremely serious category and require immediate help. Rest of the incidents typically are less serious and thereby allow more flexibility in response time. Therefore, for efficient management of EMS requests, several EMSs now categorise an incoming emergency request into apriority level based on well studied “triaging” methods. Leading research on optimising emergency response has either focussed on data-driven models for settings with homogenous incidents or on generic heuristics (that …

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Dynamic Inventory Pooling Policies To Deliver Differentiated Service, Yuanguang Zhong, Zhichao Zheng, Mabel C. Chou, Chung-Piaw Teo Apr 2018

Dynamic Inventory Pooling Policies To Deliver Differentiated Service, Yuanguang Zhong, Zhichao Zheng, Mabel C. Chou, Chung-Piaw Teo

Research Collection Lee Kong Chian School Of Business

Resource pooling strategies have been widely used in industry to match supply with demand. However, effective implementation of these strategies can be challenging. Firms need to integrate the heterogeneous service level requirements of different customers into the pooling model and allocate the resources (inventory or capacity) appropriately in the most effective manner. The traditional analysis of inventory pooling, for instance, considers the performance metric in a centralized system and does not address the associated issue of inventory allocation. Using Blackwell’s Approachability Theorem, we derive a set of necessary and sufficient conditions to relate the fill rate requirement of each customer …

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Constrained Dual Representation Of Coherent Risk Measures, Marcus Ang, Jie Sun, Qiang Yao Mar 2018

Constrained Dual Representation Of Coherent Risk Measures, Marcus Ang, Jie Sun, Qiang Yao

Research Collection Lee Kong Chian School Of Business

A classical result in risk measure theory states that every coherent risk measure has a dual representation as the supremum of certain expected value over a risk envelope. We study this topic in more detail. The related issues include: (1) Set operations of risk envelopes and how they change the risk measures, (2) The structure of risk envelopes of popular risk measures, (3) Aversity of risk measures and its impact to risk envelopes, and (4) A connection between risk measures in stochastic optimization and uncertainty sets in robust optimization.

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Quadratic Two-Stage Stochastic Optimization With Coherent Measures Of Risk, Jie Sun, Li-Zhi Liao, Brian Rodrigues Mar 2018

Quadratic Two-Stage Stochastic Optimization With Coherent Measures Of Risk, Jie Sun, Li-Zhi Liao, Brian Rodrigues

Research Collection Lee Kong Chian School Of Business

A new scheme to cope with two-stage stochastic optimization problems uses a risk measure as the objective function of the recourse action, where the risk measure is defined as the worst-case expected values over a set of constrained distributions. This paper develops an approach to deal with the case where both the first and second stage objective functions are convex linear-quadratic. It is shown that under a standard set of regularity assumptions, this two-stage quadratic stochastic optimization problem with measures of risk is equivalent to a conic optimization problem that can be solved in polynomial time.

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On Substitutability And Complementarity In Discrete Choice Models, Guiyun Feng, Xiaobo Li, Zizhuo Wang Jan 2018

On Substitutability And Complementarity In Discrete Choice Models, Guiyun Feng, Xiaobo Li, Zizhuo Wang

Research Collection Lee Kong Chian School Of Business

In this paper, we propose the concepts of substitutability and complementarity in discrete choice models. These concepts concern whether the choice probability of one alternative in a choice model increases or decreases with the utility of another alternative, and they play important roles in capturing certain practical choice patterns, such as the halo effect. We study conditions on discrete choice models that will lead to substitutability and complementarity. We also present ways of constructing choice models that exhibit complementary property.

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