Relevant bibliographies by topics / PLS-based SEM

Contents

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

Academic literature on the topic 'PLS-based SEM'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "PLS-based SEM"

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Schubring, Sandra, Iris Lorscheid, Matthias Meyer, and Christian M. Ringle. "The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation." Journal of Business Research 69, no. 10 (2016): 4604–12. http://dx.doi.org/10.1016/j.jbusres.2016.03.052.

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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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Petter, Stacie, and Yasamin Hadavi. "With Great Power Comes Great Responsibility." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 52, SI (2021): 10–23. http://dx.doi.org/10.1145/3505639.3505643.

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Partial least squares (PLS) offers multiple advantages as a composite-based structural equation modeling (SEM) technique. PLS enables scholars to examine the measurement model and structural model simultaneously and often requires fewer assumptions than factor-based SEM techniques. For these reasons and more, PLS offers great power for researchers who wish to use a SEM-based approach to evaluate a research model. However, with the great power of PLS also comes great responsibility. Scholars should determine if PLS is appropriate to use within their context, and scholars should explain their ra
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Kock, Ned. "PLS-based SEM Algorithms: The Good Neighbor Assumption, Collinearity, and Nonlinearity." Information Management and Business Review 7, no. 2 (2015): 113–30. http://dx.doi.org/10.22610/imbr.v7i2.1146.

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The partial least squares (PLS) method has been extensively used in information systems research, particularly in the context of PLS-based structural equation modeling (SEM). Nevertheless, our understanding of PLS algorithms and their properties is still progressing. With the goal of improving that understanding, we provide a discussion on the treatment of reflective and formative latent variables in the context of three main algorithms used in PLS-based SEM analyses –PLS regression, PLS Mode A, and PLS Mode B. Two illustrative examples based on actual data are presented. It is shown that th
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Kock, Ned. "Structural Equation Modeling with Factors and Composites." International Journal of e-Collaboration 13, no. 1 (2017): 1–9. http://dx.doi.org/10.4018/ijec.2017010101.

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Recent methodological developments building on partial least squares (PLS) techniques and related ideas have significantly contributed to bridging the gap between factor-based and composite-based structural equation modeling (SEM) methods. PLS-SEM is extensively used in the field of e-collaboration, as well as in many other fields where multivariate statistical analyses are employed. The author compares results obtained with four methods: covariance-based SEM with full information maximum likelihood (FIML), factor-based SEM with common factor model assumptions (FSEM1), factor-based SEM buildin
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Memon, Mumtaz Ali, Ramayah T., Jun-Hwa Cheah, Hiram Ting, Francis Chuah, and Tat Huei Cham. "PLS-SEM STATISTICAL PROGRAMS: A REVIEW." Journal of Applied Structural Equation Modeling 5, no. 1 (2021): i—xiv. http://dx.doi.org/10.47263/jasem.5(1)06.

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Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used methods of multivariate data analysis. Although previous research has discussed different aspects of PLS-SEM, little has been done to explain the attributes of the various PLS-SEM statistical applications. The objective of this editorial is to discuss the multiple PLS-SEM applications, including SmartPLS, WarpPLS, and ADANCO. It is written based on information received from the developers via emails as well as our ongoing understanding and experience of using these applications. We hope this editorial w
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Becker, Jan-Michael, Christian M. Ringle, and Marko Sarstedt. "ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT." Journal of Applied Structural Equation Modeling 2, no. 2 (2018): 1–21. http://dx.doi.org/10.47263/jasem.2(2)01.

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When estimating moderating effects in partial least squares structural equation modeling (PLSSEM), researchers can choose from a variety of approaches to model the influence of a moderator on a relationship between two constructs by generating different interaction terms. While prior research has evaluated the efficacy of these approaches in the context of PLS-SEM, the impact of different data treatment options on their performance in the context of standard PLS-SEM and consistent PLS-SEM (PLSc-SEM) is as yet unexplored. Our simulation study addresses these limitations and explores if the choi
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Russo, Daniel, and Klaas-Jan Stol. "PLS-SEM for Software Engineering Research." ACM Computing Surveys 54, no. 4 (2021): 1–38. http://dx.doi.org/10.1145/3447580.

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Software Engineering (SE) researchers are increasingly paying attention to organizational and human factors. Rather than focusing only on variables that can be directly measured, such as lines of code, SE research studies now also consider unobservable variables, such as organizational culture and trust. To measure such latent variables, SE scholars have adopted Partial Least Squares Structural Equation Modeling (PLS-SEM), which is one member of the larger SEM family of statistical analysis techniques. As the SE field is facing the introduction of new methods such as PLS-SEM, a key issue is th
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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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Kock, Ned. "Advanced Mediating Effects Tests, Multi-Group Analyses, and Measurement Model Assessments in PLS-Based SEM." International Journal of e-Collaboration 10, no. 1 (2014): 1–13. http://dx.doi.org/10.4018/ijec.2014010101.

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Use of the partial least squares (PLS) method has been on the rise among e-collaboration researchers. It has also seen increasing use in a wide variety of fields of research. This includes most business-related disciplines, as well as the social and health sciences. The use of the PLS method has been primarily in the context of PLS-based structural equation modeling (SEM). This article discusses a variety of advanced PLS-based SEM uses of critical coefficients such as standard errors, effect sizes, loadings, cross-loadings and weights. Among these uses are advanced mediating effects tests, com
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Dissertations / Theses on the topic "PLS-based SEM"

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Shakeri, Shadi. "Modeling Information Seeking Under Perceived Risk." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404510/.

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Information seeking and information avoidance are the mechanisms humans natural used for coping with uncertainties and adapting to environmental stressors. Uncertainties are rooted in knowledge gaps. In social sciences, the relationship between knowledge gaps and perceived risk have received little attention. A review of the information science literature suggests that few studies have been devoted to the investigation of the role of this relationship in motivating information-seeking behavior. As an effort to address the lack of theory building in the field of information science, this study
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Coimbra, Laura Calapez Pinheiro Costa. "Sustainable Packaging: The Impact of Fresh Start Mindset on Consumer Inferences." Master's thesis, 2022. http://hdl.handle.net/10362/135548.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence<br>This study focuses on the behavioral effect of the fresh start mindset towards sustainable packaging options. The objective of this research was to provide an empirical study to explain the impact of fresh start mindset on perceptions and moral satisfaction towards products with sustainable packaging, as well as if it has an effect on consumers intention to purchase the product. A conceptual model has been proposed and subjected to empirical v
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Tran, Vi. "The effects of cross-functional integration mechanisms and customer characteristics on the outcomes of new product development projects." Thesis, 2017. http://hdl.handle.net/10453/116406.

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University of Technology Sydney. Faculty of Business.<br>Over the past numbers of years, the important role of new product development (NPD) has been acknowledged by both academics and practitioners. NPD is not only a crucial means for the survival and renewal of organizations, but also a valuable source of competitive advantage and prosperity of firms. New products have been found to account for up to 50% of sales and 50% of profits of firms. Firms, however, have to confront the high failure rates of new products, which range from 40% to 50%. The importance of NPD, coupled with the poor perfo
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Ssemugabi, Samuel. "Development and validation of an integrated model for evaluating e-service quality, usability and user experience (e-SQUUX) of Web-based applications in the context of a University web portal." Thesis, 2019. http://hdl.handle.net/10500/26005.

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Text in English<br>Developments in Internet technology and pervasive computing over the past two and half decades have resulted in a variety of Web-based applications (WBAs) that provide products and services to online users or customers. The Internet is used not only to transfer information via the web but is increasingly used to provide electronic services including business transactions, information-delivery and social networking, as well as e-government, e-health and e-learning. For such organisations, e-service quality, usability and user experience are considered to be critical determina
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Cheung, Man Lai. "Examining the impact of social-media brand communication and distribution intensity on consumer-based brand equity in Hong Kong." Thesis, 2017. http://hdl.handle.net/1959.13/1333372.

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Professional Doctorate - Doctor of Business Administration (DBA)<br>This study examines the influence of firm-created and user-generated social-media brand communications and distribution intensity on consumer-based brand equity for high-and low-involvement products in the Hong Kong context. Brand equity refers to the additional value and incremental utility that is built into a branded product by its brand name. Consumer-based brand equity is primarily related to consumers’ confidence, preference and purchase intention for a particular brand, and to the consumers’ positive response to the mar
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Book chapters on the topic "PLS-based SEM"

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Hair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, and Soumya Ray. "An Introduction to Structural Equation Modeling." In Classroom Companion: Business. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80519-7_1.

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AbstractStructural equation modeling is a multivariate data analysis method for analyzing complex relationships among constructs and indicators. To estimate structural equation models, researchers generally draw on two methods: covariance-based SEM (CB-SEM) and partial least squares SEM (PLS-SEM). Whereas CB-SEM is primarily used to confirm theories, PLS represents a causal–predictive approach to SEM that emphasizes prediction in estimating models, whose structures are designed to provide causal explanations. PLS-SEM is also useful for confirming measurement models. This chapter offers a concise overview of PLS-SEM’s key characteristics and discusses the main differences compared to CB-SEM. The chapter also describes considerations when using PLS-SEM and highlights situations that favor its use compared to CB-SEM.
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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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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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Stibe, Agnis. "Towards a Framework for Socially Influencing Systems: Meta-analysis of Four PLS-SEM Based Studies." In Persuasive Technology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20306-5_16.

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Chin, Wynne W., Annette M. Mills, Douglas J. Steel, and Andrew Schwarz. "Multi-group Invariance Testing: An Illustrative Comparison of PLS Permutation and Covariance-Based SEM Invariance Analysis." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40643-5_20.

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Diaz, Estrella, Águeda Esteban, Rocío Carranza, Carlos Sánchez-Camacho, and David Martín-Consuegra. "How Do Affect the Infusion of Smart Technology and Mindfulness of Tourism SMEs on Competitiveness?" In Information and Communication Technologies in Tourism 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25752-0_7.

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AbstractThe purpose of this research is to analyse the effect of the infusion of smart technologies and the mindfulness of tourism small and medium-sized organisations (SMEs) in the use of smart technologies on several aspects related to the companies and their employees. Specifically, its effect on service advantage, value co-creation, employee job satisfaction, employees’ perception of service cannibalisation and competitiveness of tourism companies is analyzed. The total sample obtained was 877 employees/managers of tourism SMEs located in Europe and the United States. The model proposed in the study was estimated with PLS-SEM, a variance-based structural equation modeling statistical technique. The results of the study offer important implications and recommendations to researchers in the tourism field, tourism organisations and destinations on the importance of using smart technologies.
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Odongtoo, Godfrey, Denis Ssebuggwawo, and Peter Okidi Lating. "Water Resource Management Frameworks in Water-Related Adaptation to Climate Change." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_24.

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AbstractThis chapter addresses the use of partial least squares–structural equation modeling (PLS-SEM) to determine the requirements for an effective development of water resource management frameworks. The authors developed a quantitative approach using Smart-PLS version 3 to reveal the views of different experts based on their experiences in water-related adaptation to climate change in the Lake Victoria Basin (LVB) in Uganda. A sample size of 152 was computed from a population size of 245 across the districts of Buikwe, Jinja, Mukono, Kampala, and Wakiso. The chapter aimed to determine the relationship among the availability of legal, regulatory, and administrative frameworks, public water investment, price and demand management, information requirements, coordination structures, and analytical frameworks and how they influence the development of water resource management frameworks. The findings revealed that the availability of legal, regulatory, and administrative frameworks, public water investment, price and demand management, information requirements, and coordination structures had significant and positive effects on the development of water resource management frameworks. Public water investment had the highest path coefficient (β = 0.387 and p = 0.000), thus indicating that it has the greatest influence on the development of water resource management frameworks. The R2 value of the model was 0.714, which means that the five exogenous latent constructs collectively explained 71.4% of the variance in the development. The chapter suggests putting special emphasis on public water investment to achieve an effective development of water resource management frameworks. These findings can support the practitioners and decision makers engaged in water-related adaptation to climate change within the LVB and beyond.
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Odongtoo, Godfrey, Denis Ssebuggwawo, and Peter Okidi Lating. "Water Resource Management Frameworks in Water-Related Adaptation to Climate Change." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-42091-8_24-1.

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AbstractThis chapter addresses the use of partial least squares–structural equation modeling (PLS-SEM) to determine the requirements for an effective development of water resource management frameworks. The authors developed a quantitative approach using Smart-PLS version 3 to reveal the views of different experts based on their experiences in water-related adaptation to climate change in the Lake Victoria Basin (LVB) in Uganda. A sample size of 152 was computed from a population size of 245 across the districts of Buikwe, Jinja, Mukono, Kampala, and Wakiso. The chapter aimed to determine the relationship among the availability of legal, regulatory, and administrative frameworks, public water investment, price and demand management, information requirements, coordination structures, and analytical frameworks and how they influence the development of water resource management frameworks. The findings revealed that the availability of legal, regulatory, and administrative frameworks, public water investment, price and demand management, information requirements, and coordination structures had significant and positive effects on the development of water resource management frameworks. Public water investment had the highest path coefficient (β = 0.387 and p = 0.000), thus indicating that it has the greatest influence on the development of water resource management frameworks. The R2 value of the model was 0.714, which means that the five exogenous latent constructs collectively explained 71.4% of the variance in the development. The chapter suggests putting special emphasis on public water investment to achieve an effective development of water resource management frameworks. These findings can support the practitioners and decision makers engaged in water-related adaptation to climate change within the LVB and beyond.
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Roldán, José L., and Manuel J. Sánchez-Franco. "Variance-Based Structural Equation Modeling." In Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0179-6.ch010.

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Partial Least Squares (PLS) is an efficient statistical technique that is highly suited for Information Systems research. In this chapter, the authors propose both the theory underlying PLS and a discussion of the key differences between covariance-based SEM and variance-based SEM, i.e., PLS. In particular, authors: (a) provide an analysis of the origin, development, and features of PLS, and (b) discuss analysis problems as diverse as the nature of epistemic relationships and sample size requirements. In this regard, the authors present basic guidelines for the applying of PLS as well as an explanation of the different steps implied for the assessment of the measurement model and the structural model. Finally, the authors present two examples of Information Systems models in which they have put previous recommendations into effect.
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Ashill, Nicholas J. "An Introduction to Structural Equation Modeling (SEM) and the Partial Least Squares (PLS) Methodology." In Student Satisfaction and Learning Outcomes in E-Learning. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-615-2.ch006.

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Over the past 15 years, the use of Partial Least Squares (PLS) in academic research has enjoyed increasing popularity in many social sciences including Information Systems, marketing, and organizational behavior. PLS can be considered an alternative to covariance-based SEM and has greater flexibility in handling various modeling problems in situations where it is difficult to meet the hard assumptions of more traditional multivariate statistics. This chapter focuses on PLS for beginners. Several topics are covered and include foundational concepts in SEM, the statistical assumptions of PLS, a LISREL-PLS comparison and reflective and formative measurement.
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Conference papers on the topic "PLS-based SEM"

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Oberai, Himani, and Ila Mehrotra Anand. "Online Health Information Behavior: A study based on PLS-SEM." In 2021 5th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2021. http://dx.doi.org/10.1109/iscon52037.2021.9702326.

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Wu, Kaibiao, Shanshan Chen, and Yun Yuan. "Research on the Customer Loyalty of Bicycle-sharing Company Based on PLS-SEM Model." In the 2018 2nd International Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3180374.3181358.

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Nasution, Syukri Yusuf, and Amalia Suzianti. "Development of an Incubator Performance Model Based on User Perceptions: A PLS-SEM Approach." In APCORISE 2021: 4th Asia Pacific Conference on Research in Industrial and Systems Engineering 2021. ACM, 2021. http://dx.doi.org/10.1145/3468013.3468310.

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Wu, Fan, Xianning Liu, Daoge Ni, et al. "Environmental Impacts of Residential Satisfaction of Elders in Micro-Regeneration Communities Based on PLS-SEM." In International Conference on Construction and Real Estate Management 2022. American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484562.072.

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Li, Tao, Yihai He, and Chunling Zhu. "Big Data Oriented Macro-Quality Index Based on Customer Satisfaction Index and PLS-SEM for Manufacturing Industry." In 2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII). IEEE, 2016. http://dx.doi.org/10.1109/iciicii.2016.0052.

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Rashid, Abdul, and Varsha Rokade. "Direct and Indirect Effects of CSR on Customer Reactions: PLS SEM Approach." In 3rd International Conference on Administrative & Financial Sciences. Cihan University - Erbil, 2021. http://dx.doi.org/10.24086/afs2020/paper.207.

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Purpose- Study aims at finding the Direct Effects of Corporate Social Responsibility (CSR) on Customer Satisfaction, Trust and Loyalty, together called as Customer Reactions (CR) and Indirect effects via Retailer Personality (RP). Design/methodology/approach- A Food and Grocery Retail customer intercept survey was conducted with sample size 410. Links were identified followed by development of a conceptual model. EFA was conducted through SPSS (23v) and CFA through Smart PLS (3.2.7v). Structural Equation Modeling was used to test the hypotheses. Findings- It was found that perceived CSR Policy
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Liu, Wei, Jing Chen, and Junxiong You. "An Analysis of Employees' Satisfaction in Distribution Enterprises Based on PLS SEM -- A Case Study of A Corporation." In 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/hsmet-18.2018.162.

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Shen, Yanan, Min Shi, and Yuhan Wu. "The Promotion of Scientific and Technological Innovation Capacity: A Path Analysis Based on PLS-SEM for Northeast China." In Fifth International Conference on Economic and Business Management (FEBM 2020). Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.201211.027.

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Zhang, Yichi, Daniel W. Apley, and Wei Chen. "A Structural Equation Modeling Based Approach for Identifying Key Descriptors in Microstructural Materials Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47473.

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In design of advanced heterogeneous materials system, microstructures play an important role as a link between processing and material properties. An accurate and efficient representation of material microstructures is necessary. Our prior work applied a supervised ranking algorithm to identify key microstructure descriptors, however the approach falls short in identifying redundancy in descriptors and is not reliable when the training sample size is small. In this paper, we propose a Structural Equation Modeling (SEM) based approach to identify significant microstructure descriptors based on
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Ramli, Mona Fairuz, Muhammad Aizat Md Sin, Ahmad Shabudin Arifin, and Abdul Ghafur Hanafi. "STUDY ON THE IMPACT OF CSR AND SOCIAL MEDIA ENGAGEMENT ON TOURIST DESTINATION BRAND LOYALTY IN SUSTAINABLE DEVELOPMENT NATURE-BASED TOURISM." In GLOBAL TOURISM CONFERENCE 2021. PENERBIT UMT, 2021. http://dx.doi.org/10.46754/gtc.2021.11.028.

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This study aims to investigate the relationship between Corporate Social Responsibility (CSR) and social media engagement on destination brand loyalty. These concepts are not fully understood, especially in the context of sustainable development of nature-based tourism, which makes managing the negative impact on the environment more challenging. The study developed a parsimonious model to investigate the interrelationship between CSR and destination loyalty by incorporating social media engagement as a mediating variable to study the impact mechanism of tourists’ CSR activities on tourists’ d
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Reports on the topic "PLS-based SEM"

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Dickman, Martin B., and Oded Yarden. Genetic and chemical intervention in ROS signaling pathways affecting development and pathogenicity of Sclerotinia sclerotiorum. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7699866.bard.

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Abstract: The long-term goals of our research are to understand the regulation of sclerotial development and pathogenicity in S. sclerotior11111. The focus in this project was on the elucidation of the signaling events and environmental cues involved in the regulation of these processes, utilizing and continuously developing tools our research groups have established and/or adapted for analysis of S. sclerotiorum, Our stated objectives: To take advantage of the recent conceptual (ROS/PPs signaling) and technical (amenability of S. sclerotiorumto manipulations coupled with chemical genomics and
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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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