Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- International and Area Studies (3078)
- Asian Studies (3008)
- Economics (2074)
- Business (1788)
- Sociology (884)
-
- Law (872)
- Public Affairs, Public Policy and Public Administration (867)
- Psychology (832)
- Econometrics (735)
- Physical Sciences and Mathematics (720)
- Communication (686)
- Computer Sciences (628)
- Political Science (498)
- Organizational Behavior and Theory (371)
- Finance (368)
- Education (361)
- Social Psychology (341)
- Social Media (319)
- Databases and Information Systems (312)
- Finance and Financial Management (295)
- Arts and Humanities (285)
- Higher Education (255)
- Transportation (244)
- Medicine and Health Sciences (226)
- Library and Information Science (221)
- Growth and Development (220)
- Industrial and Organizational Psychology (200)
- Economic Theory (187)
- Behavioral Economics (185)
- Keyword
-
- Singapore (845)
- China (243)
- Singapore Management University (237)
- COVID-19 (111)
- Higher education (87)
-
- Social media (87)
- Culture (77)
- Asia (76)
- Pandemic (66)
- Indonesia (60)
- India (59)
- Academic libraries (54)
- History (52)
- Twitter (51)
- Southeast Asia (50)
- Innovation (49)
- Technology (49)
- Covid-19 (48)
- Leadership (46)
- Well-being (45)
- Customer satisfaction (43)
- Education (43)
- Industry (43)
- United States (42)
- Climate change (41)
- Democracy (41)
- Marketing (41)
- Service excellence (41)
- Gender (40)
- Japan (40)
- Publication Year
- Publication
-
- Research Collection School of Social Sciences (1620)
- Research Collection School Of Economics (1617)
- Research Collection Lee Kong Chian School Of Business (1004)
- Research Collection Yong Pung How School Of Law (868)
- Research Collection School Of Computing and Information Systems (628)
-
- Perspectives@SMU (324)
- Research Collection Library (186)
- Social Space (159)
- Asian Management Insights (149)
- Research Collection School Of Accountancy (146)
- SMU Press Releases (136)
- Research Collection College of Integrative Studies (130)
- Research Collection Institute of Service Excellence (72)
- Digital Narratives of Asia (46)
- Oral History Collection (46)
- Sim Kee Boon Institute for Financial Economics (33)
- ROSA Research Briefs (24)
- Report to Stakeholders (23)
- Knowledge@SMU (21)
- SMU Corporate Reports (18)
- Lien Centre for Social Innovation: Research (17)
- Institute of Societal Leadership Research Collection (16)
- Research Collection School of Economics (13)
- Research@SMU: Connecting the Dots (13)
- Singapore Law Journal (Lexicon) (12)
- Research Collection Office of Corporate Communications and Marketing (11)
- SMU Economics and Statistics Working Paper Series (8)
- Student Publications (8)
- Library Events (6)
- CMP Research (5)
- File Type
Articles 31 - 60 of 7389
Full-Text Articles in Social and Behavioral Sciences
The Chemistry Between Us: Illuminating Complementarity Patterns In Interpersonal Role Play Assessment Via Moment-To-Moment Analyses, Christoph N. Herde, Filip Lievens
The Chemistry Between Us: Illuminating Complementarity Patterns In Interpersonal Role Play Assessment Via Moment-To-Moment Analyses, Christoph N. Herde, Filip Lievens
Research Collection Lee Kong Chian School Of Business
In assessment and selection, organizations often include interpersonal interactions because they provide insights into candidates’ interpersonal skills. These skills are then typically assessed via one-shot, retrospective assessor ratings. Unfortunately, the assessment of interpersonal skills at such a trait-like level fails to capture the richness of how the interaction unfolds at the behavioral exchange level within a role-play assessment. This study uses the lens of interpersonal complementarity theory to advance our understanding of interpersonal dynamics in role-play assessment and their effects on assessor ratings. Ninety-six MBA students participated in four different flash role-plays as part of diagnosing their strengths and weaknesses. …
Designing Pareto-Optimal Selection Systems For Multiple Minority Subgroups And Multiple Criteria, Wilfried De Corte, Paul R. Sackett, Filip Lievens
Designing Pareto-Optimal Selection Systems For Multiple Minority Subgroups And Multiple Criteria, Wilfried De Corte, Paul R. Sackett, Filip Lievens
Research Collection Lee Kong Chian School Of Business
Currently used Pareto-optimal (PO) approaches for balancing diversity and validity goals in selection can deal only with one minority group and one criterion. These are key limitations because the workplace and society at large are getting increasingly diverse and because selection system designers often have interest in multiple criteria. Therefore, the article extends existing methods for designing PO selection systems to situations involving multiple criteria and multiple minority groups (i.e., multiobjective PO selection systems). We first present a hybrid multiobjective PO approach for computing selection systems that are PO with respect to (a) a set of quality objectives (i.e., criteria) …
My Manager Endorsed My Coworkers’ Voice: Understanding Observers’ Positive And Negative Reactions To Managerial Endorsement Of Coworker Voice., Emily Poulton, Szu-Han Joanna Lin, Shereen Fatimah, Cony Ho, Lance Ferris, Russell Johnson
My Manager Endorsed My Coworkers’ Voice: Understanding Observers’ Positive And Negative Reactions To Managerial Endorsement Of Coworker Voice., Emily Poulton, Szu-Han Joanna Lin, Shereen Fatimah, Cony Ho, Lance Ferris, Russell Johnson
Research Collection Lee Kong Chian School Of Business
Research on managerial voice endorsement has primarily focused on the processes and conditions through which voicers receive their managers’ endorsement. We shift this focus away from the voicers, focusing instead on the dual reactions that endorsement generates for observing employees. Drawing from an approach-avoidance framework, we propose that managerial endorsement of coworker voice could be perceived as a positive and negative stimulus for observers, prompting them to approach opportunities and avoid threats, respectively. Results from a pre-registered experiment and a multi-wave, multi-source field study revealed that managerial endorsement of coworker voice was positively related to observers’ voice instrumentality, thus prompting …
Multiobjective Stochastic Optimization: A Case Of Real-Time Matching In Ride-Sourcing Markets, Guodong Lyu, Wang Chi Cheung, Chung-Piaw Teo, Hai Wang
Multiobjective Stochastic Optimization: A Case Of Real-Time Matching In Ride-Sourcing Markets, Guodong Lyu, Wang Chi Cheung, Chung-Piaw Teo, Hai Wang
Research Collection School Of Computing and Information Systems
Problem Definition: The job of any marketplace is to facilitate the matching of supply with demand in real-time. Success is often measured using various metrics. The challenge is to design matching algorithms to balance the trade-offs among multiple objectives in a stochastic environment, to arrive at a “compromise” solution, which minimizes say the ℓp-norm-based distance function (for some 1 ≤p ≤∞) between the attained performance metrics and the target performances.Methodology/Results: We observe that the sample-average-approximation formulation of this multi-objective stochastic optimization problem can be solved by an online algorithm that uses only gradient information from “historical” (i.e., past) sample information, …
Bootstrap Inference For Quantile Treatment Effects In Randomized Experiments With Matched Pairs, Liang Jiang, Xiaobin Liu, Peter C B Phillips, Yichong Zhang
Bootstrap Inference For Quantile Treatment Effects In Randomized Experiments With Matched Pairs, Liang Jiang, Xiaobin Liu, Peter C B Phillips, Yichong Zhang
Research Collection School Of Economics
This paper examines methods of inference concerning quantile treatment effects (QTEs) in randomized experiments with matched-pairs designs (MPDs). Standard multiplier bootstrap inference fails to capture the negative dependence of observations within each pair and is therefore conservative. Analytical inference involves estimating multiple functional quantities that require several tuning parameters. Instead, this paper proposes two bootstrap methods that can consistently approximate the limit distribution of the original QTE estimator and lessen the burden of tuning parameter choice. Most especially, the inverse propensity score weighted multiplier bootstrap can be implemented without knowledge of pair identities.
Migration And Resource Misallocation In China, Xiaolu Li, Lin Ma, Yang Tang
Migration And Resource Misallocation In China, Xiaolu Li, Lin Ma, Yang Tang
Research Collection School Of Economics
We structurally estimate the firm-level frictions across prefectures in China and quantify their aggregate and distributional implications. Based on a general equilibrium model with input and output distortions and migration, we show that the firm-level frictions are less dispersed and less correlated with firm productivity in richer prefectures. Counterfactual exercises show that reducing the within-prefecture misallocation increases aggregate welfare, discourages migration toward large prefectures, and reduces spatial inequality. Moreover, internal migration alleviates micro-frictions’ impacts on aggregate welfare and worsens their effects on spatial inequality.
Robust Inference On Correlation Under General Heterogeneity, Liudas Giraitis, Yuefei Li, Peter C. B. Phillips
Robust Inference On Correlation Under General Heterogeneity, Liudas Giraitis, Yuefei Li, Peter C. B. Phillips
Research Collection School Of Economics
Considerable evidence in past research shows size distortion in standard tests for zero autocorrelation or zero cross-correlation when time series are not independent identically distributed random variables, pointing to the need for more robust procedures. Recent tests for serial correlation and cross-correlation in Dalla, Giraitis, and Phillips (2022) provide a more robust approach, allowing for heteroskedasticity and dependence in uncorrelated data under restrictions that require a smooth, slowly-evolving deterministic heteroskedasticity process. The present work removes those restrictions and validates the robust testing methodology for a wider class of innovations and regression residuals allowing for heteroscedastic uncorrelated and non-stationary data settings. …
The Interplay Of Interdependence And Correlation In Bilateral Trade, Takashi Kunimoto, Cuiling Zhang
The Interplay Of Interdependence And Correlation In Bilateral Trade, Takashi Kunimoto, Cuiling Zhang
Research Collection School Of Economics
Crémer and McLean (1988) show that the seller can extract full surplus almost always by an incentive compatible, individually rational mechanism in a single-unit auction model with a finite type space in which agents' beliefs are correlated and their valuations can be interdependent. We first show that this paradoxically positive result can be extended to a model of bilateral trades. To make it more realistic, we investigate when ex-post efficiency and ex-post budget balance in bilateral trades can also be achieved by an incentive compatible, individually rational mechanism. We identify a necessary condition for the existence of such mechanisms and …
Who Watched Pre/Post-Lecture Tutorial Videos? Does Flipped Learning Help Beginners In Economics?, Bei Hong
Who Watched Pre/Post-Lecture Tutorial Videos? Does Flipped Learning Help Beginners In Economics?, Bei Hong
Research Collection School Of Economics
The modern-day classroom is characterized by academic diversity, with students from varied backgrounds and with different levels of prior knowledge. To cater to the diverse abilities of students, this paper explored the use of flipped learning as a teaching approach in an introductory economics course. We investigated the effectiveness of 40 pre-lecture videos covering basic concepts and 27 post-lecture tutorial videos focusing on practice in improving students' exam outcomes, especially for beginners in economics who may require more support from instructors than other students. We collected data about video engagement and students' grades in progress assessments. Surveys were conducted to …
The Interpersonal Effects Of Emotional Expressions With Both And Single Valences On Work-Related Satisfaction: An Examination Of Emotions And Perceived Openness As Mediators, Ming-Hong Tsai
Research Collection School of Social Sciences
Work-related satisfaction has critical benefits. To predict work-related satisfaction, we investigated how a counterpart’s expressions of emotional complexity (both positive and negative emotions), positive emotions, and negative emotions influenced a perceiver’s work-related satisfaction during discussions over different work-relevant ideas. We conducted a three-wave coworker survey (N = 529) and an experiment with a confederate as a task partner (N = 378). The results consistently showed significant positive impacts of a counterpart’s emotional complexity and positive emotion expressions on a perceiver’s work-related satisfaction by enhancing the perceiver’s positive emotions and evaluation of the counterpart’s openness. Conversely, a counterpart’s negative emotion expression …
Negative Work-To-Family Spillover Stress And Heightened Cardiovascular Risk Biomarkers In Midlife And Older Adults, Andree Hartanto, K.T.A.Sandeeshwara Kasturiratna, Meilan Hu, Shu Fen Diong, Verity Y. Q. Lua
Negative Work-To-Family Spillover Stress And Heightened Cardiovascular Risk Biomarkers In Midlife And Older Adults, Andree Hartanto, K.T.A.Sandeeshwara Kasturiratna, Meilan Hu, Shu Fen Diong, Verity Y. Q. Lua
Research Collection School of Social Sciences
Objectives: The current study aimed to investigate the health implications of negative work-to-family spillover on cardiovascular risk biomarkers. Methods: In a large-scale cross-sectional dataset of working or self-employed midlife and older adults in the United States (N = 1179), we examined five biomarkers linked to cardiovascular risk, including high-density lipoprotein (HDL) cholesterol, low-density lipoprotein cholesterol, triglyceride, interleukin-6, and C-reactive protein. Negative work-to-family spillover, measured using a four-item self-reported questionnaire, was included into our model to study its association with these cardiovascular risk biomarkers. Results: Our findings indicate a significant association between negative work-to-family spillover and cardiovascular risk biomarkers – higher …
Digitally Connected, Evolutionarily Wired: An Evolutionary Mismatch Perspective On Digital Work., Mark Van Vugt, Stephen M. Colarelli, Norman P. Li
Digitally Connected, Evolutionarily Wired: An Evolutionary Mismatch Perspective On Digital Work., Mark Van Vugt, Stephen M. Colarelli, Norman P. Li
Research Collection School of Social Sciences
This paper makes the case for an evolutionary mismatch between digital work and the way human ancestors engaged in work. Psychological adaptations for producing things that early humans needed to survive and thrive, such as cognitive mechanisms for obtaining and processing food, toolmaking, and learning valuable working skills, evolved in the context of small networks of hunter–gatherers. These adaptations are central to understanding the significance of work in human evolution. Evolutionary mismatches operate when novel environments cue ancestral adaptations in ways that no longer provide adaptive benefits. We argue that digital work, although efficient and productive, is misaligned with some …
Age And Ideology: The Emergence Of New Political Cleavages In Thailand’S 2566 (2023) Election, Napon Jatusripitak, Jacob Ricks
Age And Ideology: The Emergence Of New Political Cleavages In Thailand’S 2566 (2023) Election, Napon Jatusripitak, Jacob Ricks
Research Collection School of Social Sciences
The Move Forward Party’s victory in Thailand’s 14 May 2566 (2023 CE) election surprised most observers, defying widespread predictions of a Pheu Thai win. Departing from traditional vote-mobilization strategies, Move Forward’s campaign focused largely on social media and broad calls for political reform while eschewing the vote-canvassing networks and economic policy promises that had delivered victory after victory for Pheu Thai. Does Move Forward’s win indicate changes in Thai voting behaviour? Relying on data from an original survey collected the week before and the week after the election, as well as observations from fieldwork, we identify two political cleavages that …
T-Pickseer: Visual Analysis Of Taxi Pick-Up Point Selection Behavior, Shuxian Gu, Yemo Dai, Zezheng Feng, Yong Wang, Haipeng Zeng
T-Pickseer: Visual Analysis Of Taxi Pick-Up Point Selection Behavior, Shuxian Gu, Yemo Dai, Zezheng Feng, Yong Wang, Haipeng Zeng
Research Collection School Of Computing and Information Systems
Taxi drivers often take much time to navigate the streets to look for passengers, which leads to high vacancy rates and wasted resources. Empty taxi cruising remains a big concern for taxi companies. Analyzing the pick-up point selection behavior can solve this problem effectively, providing suggestions for taxi management and dispatch. Many studies have been devoted to analyzing and recommending hotspot regions of pick-up points, which can make it easier for drivers to pick-up passengers. However, the selection of pick-up points is complex and affected by multiple factors, such as convenience and traffic management. Most existing approaches cannot produce satisfactory …
Preparing Accountants Of The Future: Examining An Undergraduate Programme In Accounting Data And Analytics, Poh Sun Seow, Gary Pan, Clarence Goh, Duan Ning, Magdeleine Lew
Preparing Accountants Of The Future: Examining An Undergraduate Programme In Accounting Data And Analytics, Poh Sun Seow, Gary Pan, Clarence Goh, Duan Ning, Magdeleine Lew
Research Collection School Of Accountancy
Due to technological innovations, there is a need for universities to produce accounting graduates who are proficient in data and analytics, in addition to core accounting skills. A university in Singapore launched the accounting data and analytics (AD&A) second major program to provide students with skillsets in data and analytics. The aim of this study is to examine the efficacy of the AD&A program. 100 participants were surveyed, involving 70 graduates of the program and 30 employers. The results show that both graduates andemployers were satisfied with the program. The results also show that the program adequately equips graduates with …
The Distributional Impacts Of Transportation Networks In China, Lin Ma, Yang Tang
The Distributional Impacts Of Transportation Networks In China, Lin Ma, Yang Tang
Research Collection School Of Economics
We document that the quality of roads and railroads vary substantially over time and space in China, and neglecting these variations biases the distributional impacts of transportation networks. To account for quality differences, we construct a new panel dataset and approximate quality using the design speed of roads and railroads that varies by vintage, class, and terrain at the pixel level. We then build a dynamic spatial general equilibrium model for multiple modes, transportation routes, and forward-looking migration decisions. Our findings demonstrate that disregarding quality differences leads to a median bias of approximately 31% in estimating real wage growth rates …
Interim Regret Minimization, Wei He, Jiangtao Li, Kexin Wang
Interim Regret Minimization, Wei He, Jiangtao Li, Kexin Wang
Research Collection School Of Economics
We consider a robust version of monopoly pricing when the seller only knows the bound on valuations and the mean of the distribution of the buyer’s value. The seller seeks to minimize interim regret, the forgone expected revenue due to not knowing the distribution of the buyer’s value. The optimal pricing policy randomizes over a range of prices; the support of the pricing policy is bounded away from zero.
(Trade) War And Peace: How To Impose International Trade Sanctions, Gustavo De Souza, Naiyuan Hu, Haishi Li, Yuan Mei
(Trade) War And Peace: How To Impose International Trade Sanctions, Gustavo De Souza, Naiyuan Hu, Haishi Li, Yuan Mei
Research Collection School Of Economics
What is the most cost-efficient way to impose trade sanctions against Russia? We build a quantitative model of international trade with input–output connections. Sanctioning countries choose import tariffs to simultaneously maximize their income and minimize Russia's income, with different weights placed on these objectives. We find, first, that for countries with low willingness to pay for sanctions against Russia, the most cost-efficient sanction is an approximately 20% tariff on all Russian products. Second, if countries are willing to pay at least US$0.70 for each US$1 drop in Russian welfare, an embargo on Russia's mining and energy products is the most …
The Interplay Of Interdependence And Correlation In Bilateral Trade, Takashi Kunimoto, Cuiling Zhang
The Interplay Of Interdependence And Correlation In Bilateral Trade, Takashi Kunimoto, Cuiling Zhang
Research Collection School Of Economics
Cremer and McLean (1988) show that the seller can extract full surplus almost always by an incentive compatible, individually rational mechanism in a single-unit auction model with a finite type space in which agents’ beliefs are correlated and their valuations can be interdependent. We first show that this paradoxically positive result can be extended to a model of bilateral trades. To make it more realistic, we investigate when ex-post efficiency and ex-post budget balance in bilateral trades can also be achieved by an incentive compatible, individually rational mechanism. We identify a necessary condition for the existence of such mechanisms and …
Robust Implementation In Rationalizable Strategies In General Mechanisms, Takashi Kunimoto, Rene Saran
Robust Implementation In Rationalizable Strategies In General Mechanisms, Takashi Kunimoto, Rene Saran
Research Collection School Of Economics
A social choice function (SCF) is robustly implementable in rationalizable strate-gies if every rationalizable strategy profile on every type space results in outcomes consistent with it. First, we establish an equivalence between robust implementation in rationalizable strategies and “weak rationalizable implementation”. Second, using the equivalence result, we identify weak robust monotonicity as a necessary and al-most sufficient condition for robust implementation in rationalizable strategies. This exhibits a contrast with robust implementation in interim equilibria, i.e., every equilib-rium on every type space achieves outcomes consistent with the SCF. Bergemann and Morris (2011) show that strict robust monotonicity is a necessary and …
Service Transformation That Will Boost Your Business, Neeta Lachmandas-Sakellariou
Service Transformation That Will Boost Your Business, Neeta Lachmandas-Sakellariou
Asian Management Insights
Focus on your customers to catapult your company to success. However, leaders must drive a culture change to make it happen.
Navigating Sustainable Futures, Franziska Zimmermann
Navigating Sustainable Futures, Franziska Zimmermann
Asian Management Insights
A leadership imperative.
Developing Singapore As A Smart Nation, Josephine Teo
Developing Singapore As A Smart Nation, Josephine Teo
Asian Management Insights
Mrs Josephine Teo, Singapore’s Minister for Communications and Information, and Minister-in-charge of Smart Nation and Cybersecurity, speaks about leading the country’s Smart Nation drive.
Maximizing The Ai Revolution In Southeast Asia, Shoeb Kagda
Maximizing The Ai Revolution In Southeast Asia, Shoeb Kagda
Asian Management Insights
For that, the region must narrow the digital divide.
Eyris: From The Lab To The Market, Steven Miller, David Gomulya, Mahima Rao-Kachroo
Eyris: From The Lab To The Market, Steven Miller, David Gomulya, Mahima Rao-Kachroo
Asian Management Insights
Singapore’s trailblazer AI algorithm for detecting diabetes-related eye diseases. Can you imagine getting the results of your eye disease screening within minutes rather than days? This capability is what EyRIS, a Singapore-based start-up that uses the AI (Artificial Intelligence)-driven Singapore Eye LEsion Analyzer (SELENA+) algorithm to screen for diabetes-related eye diseases, set out to productise and commercialise.
Smart Heuristics For Smart Management, Jochen Reb, Shenghua Luan, Gerd Gigerenzer
Smart Heuristics For Smart Management, Jochen Reb, Shenghua Luan, Gerd Gigerenzer
Asian Management Insights
How leaders can make effective decisions in a VUCA world.
Optimal Inference For Spot Regressions, Tim Bollerslev, Jia Li, Yuexuan Ren
Optimal Inference For Spot Regressions, Tim Bollerslev, Jia Li, Yuexuan Ren
Research Collection School Of Economics
Betas from return regressions are commonly used to measure systematic financial market risks. "Good" beta measurements are essential for a range of empirical inquiries in finance and macroeconomics. We introduce a novel econometric framework for the nonparametric estimation of time-varying betas with high-frequency data. The "local Gaussian" property of the generic continuous-time benchmark model enables optimal "finite-sample" inference in a well-defined sense. It also affords more reliable inference in empirically realistic settings compared to conventional large-sample approaches. Two applications pertaining to the tracking performance of leveraged ETFs and an intraday event study illustrate the practical usefulness of the new procedures.
Panel Data Models With Time-Varying Latent Group Structures, Yiren Wang, Peter C. B. Phillips, Liangjun Su
Panel Data Models With Time-Varying Latent Group Structures, Yiren Wang, Peter C. B. Phillips, Liangjun Su
Research Collection School Of Economics
This paper considers a linear panel model with interactive fixed effects and unobserved individual and time heterogeneities that are captured by some latent group structures and an unknown structural break, respectively. To enhance realism, the model may have different numbers of groups and/or different group memberships before and after the break. With preliminary nuclear norm regularized estimation followed by row- and column-wise linear regressions, we estimate the break point based on the idea of binary segmentation and the latent group structures together with the number of groups before and after the break by sequential testing K-means algorithm simultaneously. It is …
The Influence Of Societal Nationalist Sentiment On Trade Flows, Douglas Dow, Ilya Cuypers
The Influence Of Societal Nationalist Sentiment On Trade Flows, Douglas Dow, Ilya Cuypers
Research Collection Lee Kong Chian School Of Business
In recent years, the world has witnessed a backlash against globalization and a rise in populist and nationalist movements around the world. However, there appears to be little empirical research concerning how these movements, and especially nationalist sentiment, actually influence trade. Therefore, we explore how and when nationalist sentiment within a country influences trade. Our results indicate that the effect of nationalist sentiment on imports is mediated by lower participation in free trade agreements (FTAs) but not via tariffs. Furthermore, we are unable to confirm support for a direct effect of nationalist sentiment on imports, as predicted by the consumer …
Conditional Neural Heuristic For Multiobjective Vehicle Routing Problems, Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu
Conditional Neural Heuristic For Multiobjective Vehicle Routing Problems, Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu
Research Collection School Of Computing and Information Systems
Existing neural heuristics for multiobjective vehicle routing problems (MOVRPs) are primarily conditioned on instance context, which failed to appropriately exploit preference and problem size, thus holding back the performance. To thoroughly unleash the potential, we propose a novel conditional neural heuristic (CNH) that fully leverages the instance context, preference, and size with an encoder–decoder structured policy network. Particularly, in our CNH, we design a dual-attention-based encoder to relate preferences and instance contexts, so as to better capture their joint effect on approximating the exact Pareto front (PF). We also design a size-aware decoder based on the sinusoidal encoding to explicitly …