Relevant bibliographies by topics / Integrated Choice and Latent Variable

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Integrated Choice and Latent Variable'

Author: Grafiati
Published: 6 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "Integrated Choice and Latent Variable"

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Chen, Jian, and Shoujie Li. "Mode Choice Model for Public Transport with Categorized Latent Variables." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/7861945.

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Mode choice model for public transport, which integrates structural equation model (SEM) and discrete choice model (DCM) with categorized latent variables, was presented in this paper. Apart from identifying those important latent variables that affect mode choice for public transport, the objective of this study was also to develop an improved disaggregative model that better explains travel behavior of those decision-makers in choosing public transport. After extensive observations, selective latent variable sets which consist of latent variable components were chosen together with explicit
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Mahpour, Alireza, Amirreza Mamdoohi, Taha HosseinRashidi, Basil Schmid, and Kay W. Axhausen. "Shopping destination choice in Tehran: An integrated choice and latent variable approach." Transportation Research Part F: Traffic Psychology and Behaviour 58 (October 2018): 566–80. http://dx.doi.org/10.1016/j.trf.2018.06.045.

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Politis, Ioannis, Panagiotis Papaioannou, and Socrates Basbas. "Integrated Choice and Latent Variable Models for evaluating Flexible Transport Mode choice." Research in Transportation Business & Management 3 (August 2012): 24–38. http://dx.doi.org/10.1016/j.rtbm.2012.06.007.

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Soto, Jose J., Luis Márquez, and Luis F. Macea. "Accounting for attitudes on parking choice: An integrated choice and latent variable approach." Transportation Research Part A: Policy and Practice 111 (May 2018): 65–77. http://dx.doi.org/10.1016/j.tra.2018.03.003.

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Capurso, Mauro, Stephane Hess, and Thijs Dekker. "Stated consideration and attribute thresholds in mode choice models: a hierarchical ICLV approach." European Journal of Transport and Infrastructure Research 21, no. 3 (2021): 106–23. http://dx.doi.org/10.18757/ejtir.2021.21.3.3982.

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Consideration of alternatives, as many other aspects related to the decision-making process, is not observable and challenging to measure. Even when supplementary information is collected during stated choice experiments, its use as an additional explanatory variable is discouraged due to potential endogeneity issues, measurement error and limited suitability for forecasting. To overcome these limitations, we propose an Integrated Choice and Latent Variable model where consideration of an alternative is treated as a latent variable. The novelty of the presented model is that the latent variabl
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Chen, Ching-Fu, Chiang Fu, and Pei-Ya Siao. "Exploring electric moped sharing preferences with integrated choice and latent variable approach." Transportation Research Part D: Transport and Environment 121 (August 2023): 103837. http://dx.doi.org/10.1016/j.trd.2023.103837.

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Mohiuddin, Hossain, Md Musfiqur Rahman Bhuiya, Shaila Jamal, and Zhi Chen. "Exploring the Choice of Bicycling and Walking in Rajshahi, Bangladesh: An Application of Integrated Choice and Latent Variable (ICLV) Models." Sustainability 14, no. 22 (2022): 14784. http://dx.doi.org/10.3390/su142214784.

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Bangladesh has emphasized active transportation in its transportation policies and has encouraged its population, especially the youth and students, towards bicycling. However, there is a scarcity of studies that have examined the factors important to the choice of active transportation that can be referenced to support the initiative. To address this research gap, in this study, we explore the influence of sociodemographics and latent perceptions of a built environment on the choice to walk and bicycle among students and nonstudents in Rajshahi, Bangladesh. In Rajshahi, we conducted a househo
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Sohn, Keemin. "An Expectation-Maximization Algorithm to Estimate the Integrated Choice and Latent Variable Model." Transportation Science 51, no. 3 (2017): 946–67. http://dx.doi.org/10.1287/trsc.2016.0696.

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Vij, Akshay, and Joan L. Walker. "How, when and why integrated choice and latent variable models are latently useful." Transportation Research Part B: Methodological 90 (August 2016): 192–217. http://dx.doi.org/10.1016/j.trb.2016.04.021.

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Chae, Dasol, Jaeyoung Jung, and Keemin Sohn. "Facilitating an expectation-maximization (EM) algorithm to solve an integrated choice and latent variable (ICLV) model with fully correlated latent variables." Journal of Choice Modelling 26 (March 2018): 64–79. http://dx.doi.org/10.1016/j.jocm.2017.08.001.

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Dissertations / Theses on the topic "Integrated Choice and Latent Variable"

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Walker, Joan Leslie. "Extended discrete choice models : integrated framework, flexible error structures, and latent variables." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/32704.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2001.<br>Includes bibliographical references (leaves 199-209).<br>Discrete choice methods model a decision-maker's choice among a set of mutually exclusive and collectively exhaustive alternatives. They are used in a variety of disciplines (transportation, economics, psychology, public policy, etc.) in order to inform policy and marketing decisions and to better understand and test hypotheses of behavior. This dissertation is concerned with the enhancement of discrete choice methods. The workho
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Bouscasse, Hélène. "Essays on travel mode choice modeling : a discrete choice approach of the interactions between economic and behavioral theories." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE2106/document.

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Cette thèse a pour objectif d’incorporer des éléments de théories de psychologie et d’économie comportementale dans des modèles de choix discret afin d’améliorer la compréhension du choix modal réalisé à l’échelle régionale. Les estimations se basent sur une enquête de type choice experiment présentée en première partie. Une deuxième partie s’intéresse à l’incorporation de variables latentes pour expliquer le choix modal. Après une revue de littérature sur les modèles de choix hybrides, c’est-à-dire des modèles combinant modèle d’équations structurelles et modèle de choix discret, un tel modèl
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Lawson, Jordan L. "Strengthening Causal Inferences: Examining Instrument-Free Approaches to Addressing Endogeneity Bias in the Evaluation of an Integrated Student Support Program." Thesis, Boston College, 2019. http://hdl.handle.net/2345/bc-ir:108595.

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Thesis advisor: Laura M. O'Dwyer<br>Education researchers are frequently interested in examining the causal impact of academic services and interventions; however, it is often not feasible to randomly assign study elements to treatment conditions in the field of education (Adelson, 2013). When assignment to treatment conditions is non-random, the omission of any variables relevant to treatment selection creates a correlation between the treatment variable and the error in regression models. This is termed endogeneity (Ebbes, 2004). In the presence of endogeneity, treatment effect estimates fro
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Chaudhary, Ankita. "Impact of range anxiety on driver route choices using a panel-integrated choice latent variable model." Thesis, 2014. http://hdl.handle.net/2152/28254.

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There has been a significant increase in private vehicle ownership in the last decade leading to substantial increase in air pollution, depleting fuel reserves, etc. One of the alternatives known as battery operated electric vehicles (BEVs) has the potential to reduce carbon footprints due to lesser or no emissions and thus the focus on shifting people from gasoline operated vehicles (GVs) to BEVs has increased considerably recently. However, BEVs have a limited ‘range’ and takes considerable time to completely recharge its battery. In addition, charging stations are not as pervasive as gasoli
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Biswas, Mehek. "An Integrated Choice and Latent Variable Framework to Incorporate the Influence of Travel Time Variability on Truck Route Choice." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4735.

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Route choice models (or path choice models) are useful for quantifying travellers’ preferences for or sensitivity to route attributes, predicting network-level traffic flows, examining the influence of information provided to travellers, and studying travellers’ adaptation to uncertainty in travel conditions. Among the various factors influencing route choice, variability in travel conditions is an influential one. Day-to-day and within-day variations in travel conditions influence route choice decisions in many geographical contexts. Empirical studies on values of time and reliability have co
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Lai, Hzu-hao, and 賴思豪. "Modeling the Choice Behaviors of Freeway Electronic Toll Collection with an Integrated Choice and Latent Variables Approach." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/34846367174406603624.

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Wan-PeiHu and 胡琬珮. "Latent Variable Choice Models Considering Heterogeneity, Correlation, and Endogeneity." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/05768734120036738214.

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碩士<br>國立成功大學<br>交通管理學系碩博士班<br>96<br>In the past, the way that the discrete choice models treated the unobservable variables such as perceived and attitude variables caused some problems. For example, the estimated parameters were not consistent and efficient, the index could not be used directly to affect the policies, and the index may not be suitable in the prediction, and the unobservable variables are unchangeable as individuals vary. It results in some disadvantages for policies analysis and applications. Now the most widely used models is Maximum Simulated Likelihood to overcome the mode
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Yun-JuLin and 林韻如. "Consumer Preferences for Purchasing Electric Vehicles-An Application of Latent Variable Choice Model." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/93289658802899284704.

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Drill, Esther. "Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model." Thesis, 2018. https://doi.org/10.7916/D85M7P7V.

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Inspired by the TCGA (The Cancer Genome Atlas), we explore multimodal genomic datasets with integrative methods using a joint latent variable approach. We use iCluster+, an existing clustering method for integrative data, to identify potential subtypes within TCGA sarcoma and mesothelioma tumors, and across a large cohort of 33 dierent TCGA cancer datasets. For classication, motivated to improve the prediction of platinum resistance in high grade serous ovarian cancer (HGSOC) treatment, we propose novel integrative methods, iClassify to perform classication using a joint latent variable model.
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Books on the topic "Integrated Choice and Latent Variable"

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Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model. [publisher not identified], 2018.

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Book chapters on the topic "Integrated Choice and Latent Variable"

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Levin-Schwartz, Yuri, Vince D. Calhoun, and Tülay Adalı. "Multivariate Fusion of EEG and Functional MRI Data Using ICA: Algorithm Choice and Performance Analysis." In Latent Variable Analysis and Signal Separation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22482-4_57.

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Hernandez-Garcia, Miguel R., and Sami F. Masri. "Multivariate Statistical Analysis for Detection and Identification of Faulty Sensors Using Latent Variable Methods." In Emboding Intelligence in Structures and Integrated Systems. Trans Tech Publications Ltd., 2008. http://dx.doi.org/10.4028/3-908158-13-3.501.

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Cao, Zhen, Chenggong Tang, Yuping Wang, Juan Geng, and Zhun Tian. "Simulation Research on Emergency Evacuation of Subway Station Based on Latent Class Model." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-5814-2_46.

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AbstractIn order to deeply study the influence of pedestrian psychological behavior on route choice in the emergency evacuation process of subway stations, and quantify the influence of pedestrian psychological heterogeneity on evacuation efficiency, this study establishes an emergency evacuation simulation model based on latent class model to describe the decision-making behavior of pedestrians. Firstly, the stated preference and revealed preference (SP&amp;RP) survey method is used to investigate the psychological behavior of pedestrian groups and the behavior selection mode under different
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Prato, Carlo G. "Data Analysis: Integrated Choice and Latent Variable Models." In International Encyclopedia of Transportation. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-08-102671-7.10667-0.

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Sabu, Keerthy, Sabitha N M, V. S. Sanjay Kumar, Geeva George, and Vignesh Dhurai. "Factors Influencing Mode Choice Towards Kochi Water Metro: A Latent Variable Approach." In Integrated Water Resources Management for Quality Enhancement. Grinrey Publishing, 2023. http://dx.doi.org/10.55084/grinrey/ert/978-81-964105-3-7_5.

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Understanding the key factors influencing the mode choice behaviour of commuters is essential for planners to develop an efficient transportation network. Traditionally, mode choice models use socio-demographic characteristics and modal attributes as explanatory variables. But there are also unobserved variables / latent variables which influence the mode choice behaviour of individuals. The present paper focuses on the factors influencing the mode choice behaviour of the commuters in the Vytilla-Infopark area in the state of Kerala, India, with the introduction of the Kochi Water Metro. A que
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Ilahi, Anugrah, Prawira F. Belgiawan, and Kay W. Axhausen. "Influence of pricing on mode choice decision integrated with latent variable." In Mapping the Travel Behavior Genome. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-817340-4.00008-5.

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Kitrinou, Eleni, Amalia Polydoropoulou, and Denis Bolduc. "Development of Integrated Choice and Latent Variable (ICLV) Models for the Residential Relocation Decision in Island Areas." In Choice Modelling: The State-of-the-art and The State-of-practice. Emerald Group Publishing Limited, 2010. http://dx.doi.org/10.1108/9781849507738-027.

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Tsirimpa, Athena, and Amalia Polydoropoulou. "The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area." In Transportation Systems and Engineering. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch009.

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The main objective of this article is to gain fundamental understanding on the effect of real time information acquisition, on the traffic conditions of the Athens greater area. Activity scheduling is a dynamic process, where individuals often need to modify their schedule, as a result of new insights. Research so far hasn't analyzed the effect of traffic information acquisition, in activity scheduling, although several studies have been conducted to capture the factors that influence the rescheduling of activities. An integrated latent variable model has been estimated, that predicts the prob
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Ben-Akiva, Moshe, Joan Walker, Adriana T. Bernardino, Dinesh A. Gopinath, Taka Morikawa, and Amalia Polydoropoulou. "Integration of Choice and Latent Variable Models." In In Perpetual Motion. Elsevier, 2002. http://dx.doi.org/10.1016/b978-008044044-6/50022-x.

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Guevara, Cristian Angelo, and Moshe Ben-Akiva. "Addressing Endogeneity in Discrete Choice Models: Assessing Control-Function and Latent-Variable Methods." In Choice Modelling: The State-of-the-art and The State-of-practice. Emerald Group Publishing Limited, 2010. http://dx.doi.org/10.1108/9781849507738-016.

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Conference papers on the topic "Integrated Choice and Latent Variable"

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Wassenaar, Henk Jan, Wei Chen, Jie Cheng, and Agus Sudjianto. "An Integrated Latent Variable Choice Modeling Approach for Enhancing Product Demand Modeling." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME, 2004. http://dx.doi.org/10.1115/detc2004-57487.

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Ghosh, Dipanjan D., Andrew Olewnik, and Kemper E. Lewis. "An Integrated Framework for Predicting Consumer Choice Through Modeling of Preference and Product Use Data." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68010.

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A critical task in product design is mapping information from consumer space to design space. Currently, this process is largely dependent on the designer to identify and map how psychological and consumer level factors relate to engineered product attributes. In this way, current methodologies lack provision to test a designer’s cognitive reasoning, which could introduce bias while mapping from consumer to design space. Cyber-Empathic Design is a novel framework where user-product interaction data is acquired using embedded sensors. To understand consumer perceptions about a particular produc
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Yang, Chen, Wei Wang, Zhibin Li, and Jian Lu. "Travel Mode Choice Based on Latent Variable Enriched Discrete Choice Model." In Second International Conference on Transportation Engineering. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)720.

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Salah, Aghiles, and Hady W. Lauw. "A Bayesian Latent Variable Model of User Preferences with Item Context." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/370.

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Personalized recommendation has proven to be very promising in modeling the preference of users over items. However, most existing work in this context focuses primarily on modeling user-item interactions, which tend to be very sparse. We propose to further leverage the item-item relationships that may reflect various aspects of items that guide users' choices. Intuitively, items that occur within the same "context" (e.g., browsed in the same session, purchased in the same basket) are likely related in some latent aspect. Therefore, accounting for the item's context would complement the sparse
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Zhang, Rong, Jiaqi Shen, and Hao Liu. "Quantitative Analysis of Latent Variable and Its Integration with Freight Mode Choice Behavior Model." In 22nd COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484265.257.

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Madakyaru, Muddu, Mohamed N. Nounou, and Hazem N. Nounou. "Enhanced modeling of distillation columns using integrated multiscale latent variable regression." In 2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA). IEEE, 2013. http://dx.doi.org/10.1109/cica.2013.6611666.

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Li, Xiufeng, Xiang Liu, Ning Wang, Decun Dong, and Wenjian Zhang. "Investigating the Key Factors Influencing Travelers’ Carsharing Choice – An Inclusion of Latent Variable Nested Logit Model." In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8916949.

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Luo, Yin-Jyun, Sebastian Ewert, and Simon Dixon. "Towards Robust Unsupervised Disentanglement of Sequential Data — A Case Study Using Music Audio." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/458.

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Disentangled sequential autoencoders (DSAEs) represent a class of probabilistic graphical models that describes an observed sequence with dynamic latent variables and a static latent variable. The former encode information at a frame rate identical to the observation, while the latter globally governs the entire sequence. This introduces an inductive bias and facilitates unsupervised disentanglement of the underlying local and global factors. In this paper, we show that the vanilla DSAE suffers from being sensitive to the choice of model architecture and capacity of the dynamic latent variable
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Yannou, Bernard, Jiliang Wang, Ndrianarilala Rianantsoa, et al. "Usage Coverage Model for Choice Modeling: Principles." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87534.

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Accurately capturing the future demand for a given product is a hard task in today’s new product development initiatives. As customers become more market-savvy and markets continue fragment, current demand models could greatly benefit from exploiting the rich contextual information that exists in customers’ product usage. As such, we propose a Usage Coverage Model (UCM) as a more thorough means to quantify and capture customer demand by utilizing factors of usage context in order to inform an integrated engineering design and choice modeling approach. We start by presenting the principles of t
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Lim, Siphat. "The Relationship of Knowledge Sharing in Strategic Alliance: A Partial Least Square Analysis of Hotel Industry in Cambodia." In ACBSP Region 10 Annual Conference 2023. CamEd Business School, 2023. http://dx.doi.org/10.62458/camed/oar/acbsp/47-56.

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Seven latent variables were integrated into the Structural Equation Model to investigate the effect of Communication, Learning Intent, Mutual Commitment, Trust, Absorptive Capacity, and Knowledge Sharing on Innovation in Cambodia’s four and five-star hotel industry. A Confirmatory Factor Analysis was adopted to evaluate the model’s suitability. The empirical results of this research found that there was a direct positive significant effect of Communication, Mutual Commitment, and Trust on Knowledge Sharing. All latent variables, Communication, Learning Intent, Mutual Commitment, Trust, Absorpt
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Reports on the topic "Integrated Choice and Latent Variable"

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Dua, Rubal, Eui-Jin Kim, and Prateek Bansal. Why Might Some Chinese Battery Electric Vehicle Owners Choose Not to Repurchase Another? King Abdullah Petroleum Studies and Research Center, 2025. https://doi.org/10.30573/ks--2025-dp03.

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Repurchasing battery electric vehicles (BEVs) is critical to achieving BEV sales targets and decarbonizing China’s transport sector. This study investigates why current BEV owners in China might not repurchase a BEV and who they are. We conducted a stated preference experiment where respondents choose between an improved BEV and an internal combustion engine vehicle (ICEV) in the next purchase. We analyzed the effect of vehicle-specific attributes and attitudes on BEV repurchase likelihood using an integrated choice and latent variable (ICLV) approach. Results show that current BEV owners diss
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