Academic literature on the topic 'SEM: Partial least squares'

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Journal articles on the topic "SEM: Partial least squares"

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Zulkifli, Raudhah, Nazim Aimran, Sayang Mohd Deni, and Fatin Najihah Badarisam. "A comparative study on the performance of maximum likelihood, generalized least square, scale-free least square, partial least square and consistent partial least square estimators in structural equation modeling." International Journal of Data and Network Science 6, no. 2 (2022): 391–400. http://dx.doi.org/10.5267/j.ijdns.2021.12.015.

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Structural equation modeling offers various estimation methods for estimating parameters. The most used method in covariance-based structural equation modeling (CB-SEM) is the maximum likelihood (ML) estimator. The ML estimator is typically used when fitting models with normally distributed data. The growth of partial least squares path modeling (PLS-PM), including consistent partial least squares (PLSc), has also been noticed by researchers in the SEM fields. The PLSc has elevated interest in the scholastic setting in measuring the performance of various estimation methods in structural equat
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F. Hair Jr, Joe, Marko Sarstedt, Lucas Hopkins, and Volker G. Kuppelwieser. "Partial least squares structural equation modeling (PLS-SEM)." European Business Review 26, no. 2 (2014): 106–21. http://dx.doi.org/10.1108/ebr-10-2013-0128.

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Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields. Design/methodology/approach – In this review article, the authors merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, the authors meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage. Findings – PLS-SEM has exper
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Hair, Joseph F., Marko Sarstedt, and Christian M. Ringle. "Rethinking some of the rethinking of partial least squares." European Journal of Marketing 53, no. 4 (2019): 566–84. http://dx.doi.org/10.1108/ejm-10-2018-0665.

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PurposePartial least squares structural equation modeling (PLS-SEM) is an important statistical technique in the toolbox of methods that researchers in marketing and other social sciences disciplines frequently use in their empirical analyses. The purpose of this paper is to shed light on several misconceptions that have emerged as a result of the proposed “new guidelines” for PLS-SEM. The authors discuss various aspects related to current debates on when or when not to use PLS-SEM, and which model evaluation metrics to apply. In addition, this paper summarizes several important methodological
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Nitzl, Christian, Jose L. Roldan, and Gabriel Cepeda. "Mediation analysis in partial least squares path modeling." Industrial Management & Data Systems 116, no. 9 (2016): 1849–64. http://dx.doi.org/10.1108/imds-07-2015-0302.

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Purpose Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use altogether is that no systematic tutorials on PLS exist that draw on the newest statistical findings. The paper aims to discuss these issues. Design/met
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Lorenzo, Hadrien, Olivier Cloarec, Rodolphe Thiébaut, and Jérôme Saracco. "Data‐driven sparse partial least squares." Statistical Analysis and Data Mining: The ASA Data Science Journal 15, no. 2 (2021): 264–82. http://dx.doi.org/10.1002/sam.11558.

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Xu, Chuangwen, and Hualing Chen. "Milling tool wear forecast based on the partial least-squares regression analysis." Structural Engineering and Mechanics 31, no. 1 (2009): 57–74. http://dx.doi.org/10.12989/sem.2009.31.1.057.

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Usakli, Ahmet, and Kemal Gurkan Kucukergin. "Using partial least squares structural equation modeling in hospitality and tourism." International Journal of Contemporary Hospitality Management 30, no. 11 (2018): 3462–512. http://dx.doi.org/10.1108/ijchm-11-2017-0753.

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PurposeThe purpose of this study is to review the use of partial least squares-structural equation modeling (PLS-SEM) in the field of hospitality and tourism and thereby to assess whether the PLS-SEM-based papers followed the recommended application guidelines and to investigate whether a comparison of journal types (hospitality vs tourism) and journal qualities (top-tier vs other leading) reveal significant differences in PLS-SEM use.Design/methodology/approachA total of 206 PLS-SEM based papers published between 2000 and April 2017 in the 19 SSCI-indexed hospitality and tourism journals were
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Henseler, Jörg, Christian M. Ringle, and Marko Sarstedt. "Testing measurement invariance of composites using partial least squares." International Marketing Review 33, no. 3 (2016): 405–31. http://dx.doi.org/10.1108/imr-09-2014-0304.

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Purpose – Research on international marketing usually involves comparing different groups of respondents. When using structural equation modeling (SEM), group comparisons can be misleading unless researchers establish the invariance of their measures. While methods have been proposed to analyze measurement invariance in common factor models, research lacks an approach in respect of composite models. The purpose of this paper is to present a novel three-step procedure to analyze the measurement invariance of composite models (MICOM) when using variance-based SEM, such as partial least squares (
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Putra, Wawas Bangun Tegar Sunaryo. "Permasalahan, Kepercayaan Umum dan Prosedur Penggunaan Partial Least Squares Structural Equation Modeling Pada Penelitian Bisnis." South Asian Journal of Social Studies and Economics 14, no. 1 (2022): 1–20. https://doi.org/10.5281/zenodo.6545357.

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Partial least squares structural equation modeling atau biasa disebut sebagai PLS-SEM dikembangkan bukan tanpa alasan. PLS-SEM dikembangkan sebagai alternatif untuk covariance-based SEM, yang memungkinkan peneliti untuk menjalankan penelitian exploratory. Selain itu, PLS-SEM dinilai mampu memberikan fleksibilitas terkait dengan karakteristik data, kompleksitas model maupun model spesifikasi. Tak ayal, PLS-SEM menjadi metode paling sering digunakan dalam banyak bidang di penelitian bisnis. Namun demikian, banyak dari peneliti yang menggunakan PLS-SEM secara tidak tepat bahkan berekspektasi lebi
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Khan, Gohar F., Marko Sarstedt, Wen-Lung Shiau, Joseph F. Hair, Christian M. Ringle, and Martin P. Fritze. "Methodological research on partial least squares structural equation modeling (PLS-SEM)." Internet Research 29, no. 3 (2019): 407–29. http://dx.doi.org/10.1108/intr-12-2017-0509.

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Purpose The purpose of this paper is to explore the knowledge infrastructure of methodological research on partial least squares structural equation modeling (PLS-SEM) from a network point of view. The analysis involves the structures of authors, institutions, countries and co-citation networks, and discloses trending developments in the field. Design/methodology/approach Based on bibliometric data downloaded from the Web of Science, the authors apply various social network analysis (SNA) and visualization tools to examine the structure of knowledge networks of the PLS-SEM domain. Specifically
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Dissertations / Theses on the topic "SEM: Partial least squares"

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Hong, Lae Hyung. "Ports' supply chain management (SCM) strategies and their impacts on performance : a partial least squares approach on the users of Busan Port." Thesis, Cardiff University, 2009. http://orca.cf.ac.uk/55839/.

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Based on the combined view of Resource Based Theory (RBT) and Supply Chain Management Theory (SCMT), this study aims to investigate the impact of Port Authorities' (PAs') SCM strategies on Port focused Supply Chains' (PSCs) SCM strategies, PSCs' resources, and PSCs' Supply Chain Performance (SCP). Considering the different roles of PAs and private players in ports, the concept 'Port focused Supply Chain' (PSC), including container terminals, inland transport companies and depots, is adopted for the current study. After a literature review and exploratory factor analysis, twelve specific variab
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Appiagyei, Kwadjo. "Evaluating integrated reporting quality, its determinants and its effect on sustainability in a mandatory reporting environment." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2378.

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over time firms may be looking beyond merely satisfying the regulatory requirements to realise the full benefits of IR. Furthermore, the study finds that among the three examined determinants of IR quality—political visibility, effective corporate governance and financial performance—on the JSE, political visibility is the best predictor. Also, the study finds evidence to support the assertion that IR affects sustainability. Moreover, IR quality is found to mediate the relationship between corporate governance, political visibility and sustainability performance. Hence, the argument that IR ha
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Flach, Christopher. "EN KVANTITATIV STUDIE PÅ ANVÄNDNING OCH ACCEPTANS AV MOBILA PLÅNBÖCKER : Analys med PLS-SEM." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11483.

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Den mobila plånboken gör det möjligt att kunna utföra betalningar med hjälp av sin smarttelefon i butiker och har funnits tillgänglig i både Sverige och andra länder runt om i världen under en längre tid. Trots detta visar studier på att denna teknik inte har blivit accepterad av konsumenterna vilket även gör att butiker är motvilliga att investera i denna typ av teknik. Syftet med undersökningen som har genomförts i denna rapport är att delvis undersöka hur utbrett användningen av mobila plånböcker är bland studenter på Högskolan i Skövde, det huvudsakliga syftet är dock att identifiera de fa
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Pearce, Antony. "Lean thinking and the factors necessary for its success." Thesis, University of Canterbury. Mechanical Engineering, 2014. http://hdl.handle.net/10092/9662.

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Lean management is becoming the standard for systematic productivity improvement, but the majority of implementations fail to sustain. Hence, the critical success factors for lean were the focus of this work. Literature review showed that the causality for lean success was not empirically developed beyond case study contextualisation. A multifaceted work was developed with contextualisation studies, survey of lean knowledge (758 responses), and a comprehensive case-study questionnaire (1253 responses from 44 countries). The statistical methods included exploratory factor analysis and path anal
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Velayutham, Sunitadevi. "The influence of classroom environment on students’ motivation and self-regulation." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1717.

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Students‟ motivational beliefs and self-regulatory practices have been identified as instrumental in influencing the engagement of students in the learning process. An important aim of science education is to empower students by nurturing the belief that they can succeed in science learning and to cultivate the adaptive learning strategies required to help to bring about that success. The lack of research on the influence of the learning environment on students‟ motivation and self-regulation provided the impetus for this research. The primary aim of this study was to investigate and identify
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Lewis, James B. "Identifying Key Determinants of Service Provider Effectiveness and the Impact it has on Outsourced Security Success." Thesis, Nova Southeastern University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3740265.

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<p> The purpose of this research was to identify key determinants of service provider effectiveness and how it impacts outsourced security success. As environments have become more robust and dynamic, many organizations have made the decision to leverage external security expertise and have outsourced many of their information technology security functions to Managed Security Service Providers (MSSPs). </p><p> Information Systems Outsourcing, at its core, is when a customer chooses to outsource certain information technology functions or services to a service provider and engages in a legal
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Günther, Thomas, and Heike Moses. "Faktoren für eine erfolgreiche Steuerung von Patentaktivitäten." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2006. http://nbn-resolving.de/urn:nbn:de:swb:14-1158060347086-06372.

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Empirischen Studien zufolge können Patente sich positiv auf den Unternehmenserfolg auswirken. Allerdings wirkt dieser Effekt nicht automatisch, sondern Unternehmen müssen sich um den Aufbau und die gesteuerte Weiterentwicklung eines nachhaltigen und wertvollen Patentportfolios bemühen. Bisher ist jedoch nicht wissenschaftlich untersucht worden, welche Maßnahmen Unternehmen ergreifen können, um die unternehmensinternen Vorraussetzungen für eine erfolgreiche Steuerung von Patentaktivitäten zu schaffen. Um diese betrieblichen Faktoren zu identifizieren und deren Relevanz zu quantifizieren, wurden
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Hassel, Per Anker. "Nonlinear partial least squares." Thesis, University of Newcastle Upon Tyne, 2003. http://hdl.handle.net/10443/465.

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Partial Least Squares (PLS) has been shown to be a versatile regression technique with an increasing number of applications in the areas of process control, process monitoring and process analysis. This Thesis considers the area of nonlinear PLS; a nonlinear projection based regression technique. The nonlinearity is introduced as a univariate nonlinear function between projections, or to be more specific, linear combinations of the predictor and the response variables. As for the linear case, the method should handle multicollinearity, underdetermined and noisy systems. Although linear PLS is
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Mohd, Mustamil Norizah. "The influence of culture and ethical ideology on ethical decision making process of Malaysian managers." Thesis, Curtin University, 2010. http://hdl.handle.net/20.500.11937/646.

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The ethical decision making (EDM) process of individuals has proven to be very challenging due to the multitude of complex and varied factors that contribute to this behaviour. Nevertheless, many theoretical frameworks have been proposed to describe such behaviour. Despite the increasing number of EDM models and practices, reports of unethical incidents and illegal behaviour, especially in organizations, continue to appear. This problem is in part related to the failure of EDM models that do not adequately explain the antecedent factors of ethical behaviour by individuals in organizations. As
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Campos, Anderson Luis Saber. "Efeitos de demanda e de oferta na estrutura de capital de companhias abertas no Brasil." Universidade Presbiteriana Mackenzie, 2007. http://tede.mackenzie.br/jspui/handle/tede/673.

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Made available in DSpace on 2016-03-15T19:26:30Z (GMT). No. of bitstreams: 1 Anderson Luis Saber Campos.pdf: 1013366 bytes, checksum: 2e9d466c92f8d404ca44d38a91e676e8 (MD5) Previous issue date: 2007-09-11<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>From the theory on structure of capital and the application of structural equations a model was considered to evaluate the indebtedness of the public companies in Brazil. The effect of direct and indirect costs of bankruptcy, tax benefits, agency costs of free cash flow and the agency costs of borrowing. Computed the results,
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Books on the topic "SEM: Partial least squares"

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Hair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, and Soumya Ray. Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80519-7.

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Radomir, Lăcrămioara, Raluca Ciornea, Huiwen Wang, Yide Liu, Christian M. Ringle, and Marko Sarstedt, eds. State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM). Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34589-0.

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Latan, Hengky, and Richard Noonan, eds. Partial Least Squares Path Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64069-3.

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Esposito Vinzi, Vincenzo, Wynne W. Chin, Jörg Henseler, and Huiwen Wang, eds. Handbook of Partial Least Squares. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-32827-8.

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Latan, Hengky, Joseph F. Hair,, and Richard Noonan, eds. Partial Least Squares Path Modeling. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37772-3.

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Avkiran, Necmi K., and Christian M. Ringle, eds. Partial Least Squares Structural Equation Modeling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6.

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Bochev, Pavel B. Least-squares finite element methods. Springer, 2009.

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Bochev, Pavel B. Least-squares finite element methods. Springer, 2009.

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Lohmöller, Jan-Bernd. Latent Variable Path Modeling with Partial Least Squares. Physica-Verlag HD, 1989. http://dx.doi.org/10.1007/978-3-642-52512-4.

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Lohmöller, Jan-Bernd. Latent variable path modeling with partial least squares. Physica-Verlag, 1989.

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Book chapters on the topic "SEM: Partial least squares"

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Richter, Nicole Franziska, Sven Hauff, Christian M. Ringle, Marko Sarstedt, Aleksandar E. Kolev, and Sandra Schubring. "How to Apply Necessary Condition Analysis in PLS-SEM." In Partial Least Squares Path Modeling. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37772-3_10.

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Tenenhaus, Michel, Emmanuelle Mauger, and Christiane Guinot. "Use of ULS-SEM and PLS-SEM to Measure a Group Effect in a Regression Model Relating Two Blocks of Binary Variables." In Handbook of Partial Least Squares. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-32827-8_6.

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Kock, Ned. "Going Beyond Composites: Conducting a Factor-Based PLS-SEM Analysis." In Partial Least Squares Path Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64069-3_3.

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Sarstedt, Marko, Christian M. Ringle, and Joseph F. Hair. "Treating Unobserved Heterogeneity in PLS-SEM: A Multi-method Approach." In Partial Least Squares Path Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64069-3_9.

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Streukens, Sandra, and Sara Leroi-Werelds. "Multicollinearity: An Overview and Introduction of Ridge PLS-SEM Estimation." In Partial Least Squares Path Modeling. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37772-3_7.

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Ayadurai, Charmele, and Rasol Eskandari. "Bank Soundness: A PLS-SEM Approach." In Partial Least Squares Structural Equation Modeling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_2.

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Matthews, Lucy. "Applying Multigroup Analysis in PLS-SEM: A Step-by-Step Process." In Partial Least Squares Path Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64069-3_10.

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Kock, Ned. "Common Method Bias: A Full Collinearity Assessment Method for PLS-SEM." In Partial Least Squares Path Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64069-3_11.

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Yuan, Ke-Hai, and Zhiyong Zhang. "Statistical and Psychometric Properties of Three Weighting Schemes of the PLS-SEM Methodology." In Partial Least Squares Path Modeling. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37772-3_4.

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Sharma, Pratyush N., Ryan T. Pohlig, and Kevin H. Kim. "Model Misspecifications and Bootstrap Parameter Recovery in PLS-SEM and CBSEM-Based Exploratory Modeling." In Partial Least Squares Path Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64069-3_13.

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Conference papers on the topic "SEM: Partial least squares"

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Ahmed, Shakeel, Bahram Bahram, Sameer Razzaq, Dilan Dost, and Mehtab Ali. "Developing a PLS-SEM Model to Identify Risk Management Strategies in Construction Contracts: A Case Study in Public Sector Construction of Pakistan." In 14th International Civil Engineering Conference. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-mcn3wd.

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Political unpredictability, environmental hazards, technological constraints, economic volatility, and regulatory barriers are a few difficulties facing Pakistan's public sector construction industry. These elements, together with inadequate infrastructure, have made it extremely difficult to guarantee the success of projects. The complex nature of hazards in this industry is frequently overlooked by existing models and tactics, despite the crucial role that efficient risk management plays in reducing these difficulties. Traditional methods do not capture The complexity involved well, increasi
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Li, Fengyawen. "Partial Least Squares Optimization with Deep Learning." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS). IEEE, 2024. http://dx.doi.org/10.1109/iciteics61368.2024.10625174.

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Zeng, Xinjie, Qinghua Tao, and Johan Suykens. "Feature Learning using Multi-view Kernel Partial Least Squares." In ESANN 2024. Ciaco - i6doc.com, 2024. http://dx.doi.org/10.14428/esann/2024.es2024-168.

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Pan, Chenyue, Yushi Zhou, Wenyang Wang, Hang Qi, and Yunhao Yuan. "Partial least squares feature learning via general covariance matrices." In Sixteenth International Conference on Digital Image Processing (ICDIP 2024), edited by Zhaohui Wang, Jindong Tian, and Mrinal Mandal. SPIE, 2024. http://dx.doi.org/10.1117/12.3038372.

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Amaro, Suzanne, Jose Luis Abrantes, and Claudia Seabra. "Comparing CB-SEM and PLS-SEM results: an empirical example." In 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users. University of Twente, 2015. http://dx.doi.org/10.3990/2.357.

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Streukens, Sandra, and Sara Leroi-Werelds. "FAC-SEM using PLS-SEM: an empirical illustration in a customer value measurement context." In 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users. University of Twente, 2015. http://dx.doi.org/10.3990/2.356.

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Yu, Yiqing, and Qinghua Zhu. "How transformation expectation leads consumers to immediate gratification - A PLS-SEM approach." In 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users. University of Twente, 2015. http://dx.doi.org/10.3990/2.337.

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Barajas-Portas, Karla. "Interaction and brand experience as a path for brand love: a PLS-SEM marketing application." In 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users. University of Twente, 2015. http://dx.doi.org/10.3990/2.327.

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Khoa, Bui Thanh, and Nguyen Quoc Khanh. "Model Technological Adoption and Job Security in Partial Least Squares Structural Equation Modeling (PLS-SEM)." In 2021 International Conference on Decision Aid Sciences and Application (DASA). IEEE, 2021. http://dx.doi.org/10.1109/dasa53625.2021.9682417.

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Phuong Duy, Nguyen Binh, and Bui Thanh Khoa. "Consumer behavior in Online Flash Sale: Partial least squares structural equation modeling (PLS-SEM) analysis." In 2022 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2022. http://dx.doi.org/10.1109/dasa54658.2022.9765127.

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Reports on the topic "SEM: Partial least squares"

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DREWIEN, CELESTE A. A Parallel Prediction-Augmented Classical Least Squares/Partial Least Squares Hybrid Algorithm: CPLS 1.0 Code. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/759455.

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Faber, V. Partial least squares, conjugate gradient and the fisher discriminant. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/431144.

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Lafreniere, Philip. Application of Partial Least Squares Approaches to Pyroprocessing ER Data. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2460467.

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Fuhrmann, Bernd. Application of Two Novel Partial Least Squares-Based Regression Methods to the Analysis of Spectral Datasets. Iowa State University, 2020. http://dx.doi.org/10.31274/cc-20240624-229.

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Bonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water
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Cohen, Yafit, Carl Rosen, Victor Alchanatis, David Mulla, Bruria Heuer, and Zion Dar. Fusion of Hyper-Spectral and Thermal Images for Evaluating Nitrogen and Water Status in Potato Fields for Variable Rate Application. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7594385.bard.

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Abstract:
Potato yield and quality are highly dependent on an adequate supply of nitrogen and water. Opportunities exist to use airborne hyperspectral (HS) remote sensing for the detection of spatial variation in N status of the crop to allow more targeted N applications. Thermal remote sensing has the potential to identify spatial variations in crop water status to allow better irrigation management and eventually precision irrigation. The overall objective of this study was to examine the ability of HS imagery in the visible and near infrared spectrum (VIS-NIR) and thermal imagery to distinguish betwe
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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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Abstract:
This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob
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