Academic literature on the topic 'Partial Least Squares Structural Equation Modeling (PLS SEM)'
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Journal articles on the topic "Partial Least Squares Structural Equation Modeling (PLS SEM)"
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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 (March 4, 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 experienced increasing dissemination in a variety of fields in recent years with nonnormal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS-SEM's methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity. Research limitations/implications – While research on the PLS-SEM method has gained momentum during the last decade, there are ample research opportunities on subjects such as mediation or multigroup analysis, which warrant further attention. Originality/value – This article provides an introduction to PLS-SEM for researchers that have not yet been exposed to the method. The article is the first to meta-analyze reasons for PLS-SEM usage across the marketing, management, and management information systems fields. The cross-disciplinary review of recent research on the PLS-SEM method also makes this article useful for researchers interested in advanced concepts.
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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 equation modeling. The choice of estimation methods has substantial impact in yielding parameter estimates. There could be a trade-off among the estimation methods’ ability to deal with different types of data based on the model tested. Accordingly, this study aims to compare the performance of ML, generalized least squares (GLS), and scale-free least squares (SFLS) for CB-SEM as well as partial least squares (PLS) and consistent partial least squares (PLSc). Multivariate normal data were generated using Monte Carlo simulation with pre-determined population parameters and sample sizes using R Programming packages. To produce the estimated values, data analysis was performed using AMOS and SmartPLS for CB-SEM and PLS-SEM, respectively. The findings illustrate notable similarities between CB-SEM (ML) and PLS-SEM results when the true indicator loading is certainly high.
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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 (November 12, 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 critically analyzed using a wide range of guidelines for the following aspects of PLS-SEM: the rationale of using the method, the data characteristics, the model characteristics, the model assessment and reporting the technical issues.FindingsThe results reveal that some aspects of PLS-SEM are correctly applied by researchers, but there are still some misapplications, especially regarding data characteristics, formative measurement model evaluation and structural model assessment. Furthermore, few significant differences were found on the use of PLS-SEM between the two fields (hospitality and tourism) and between the journal tiers (top-tier and other leading).Practical implicationsTo enhance the quality of research in hospitality and tourism, the present study provides recommendations for improving the future use of PLS-SEM.Originality/valueThe present study fills a sizeable gap in hospitality and tourism literature and extends the previous assessments on the use of PLS-SEM by providing a wider perspective on the issue (i.e. includes both hospitality and tourism journals rather than the previous reviews that focus on either tourism or hospitality), using a larger sample size of 206 empirical studies, investigating the issue over a longer time period (from 2000 to April, 2017, including the in-press articles), extending the scope of criteria (guidelines) used in the review and comparing the PLS-SEM use between the two allied fields (hospitality and tourism) and between the journal tiers (top-tier and other leading).
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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 (June 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, the authors investigate the PLS-SEM knowledge network by analyzing 84 methodological studies published in 39 journals by 145 authors from 106 institutions. Findings The analysis reveals that specific authors dominate the network, whereas most authors work in isolated groups, loosely connected to the network’s focal authors. Besides presenting the results of a country level analysis, the research also identifies journals that play a key role in disseminating knowledge in the network. Finally, a burst detection analysis indicates that method comparisons and extensions, for example, to estimate common factor model data or to leverage PLS-SEM’s predictive capabilities, feature prominently in recent research. Originality/value Addressing the limitations of prior systematic literature reviews on the PLS-SEM method, this is the first study to apply SNA to reveal the interrelated structures and properties of PLS-SEM’s research domain.
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Hult, G. Tomas M., Joseph F. Hair, Dorian Proksch, Marko Sarstedt, Andreas Pinkwart, and Christian M. Ringle. "Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling." Journal of International Marketing 26, no. 3 (September 2018): 1–21. http://dx.doi.org/10.1509/jim.17.0151.
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Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, which has become an integral component of regression analysis applications. This lack of attention is surprising because the PLS-SEM method is grounded in regression analysis, for which numerous approaches for handling endogeneity have been proposed. To identify and treat endogeneity, and create awareness of how to deal with this issue, this study introduces a systematic procedure that translates control variables, instrumental variables, and Gaussian copulas into a PLS-SEM framework. We illustrate the procedure's efficacy by means of empirical data and offer recommendations to guide international marketing researchers on how to effectively address endogeneity concerns in their PLS-SEM analyses.
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Shiau, Wen-Lung, Marko Sarstedt, and Joseph F. Hair. "Internet research using partial least squares structural equation modeling (PLS-SEM)." Internet Research 29, no. 3 (June 3, 2019): 398–406. http://dx.doi.org/10.1108/intr-10-2018-0447.
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Leguina, Adrian. "A primer on partial least squares structural equation modeling (PLS-SEM)." International Journal of Research & Method in Education 38, no. 2 (January 21, 2015): 220–21. http://dx.doi.org/10.1080/1743727x.2015.1005806.
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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 (October 17, 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/methodology/approach This study illustrates the state-of-the-art use of mediation analysis in the context of PLS-structural equation modeling (SEM). Findings This study facilitates the adoption of modern procedures in PLS-SEM by challenging the conventional approach to mediation analysis and providing more accurate alternatives. In addition, the authors propose a decision tree and classification of mediation effects. Originality/value The recommended approach offers a wide range of testing options (e.g. multiple mediators) that go beyond simple mediation analysis alternatives, helping researchers discuss their studies in a more accurate way.
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Adi, Arini Annisa, Mohammad Masjkur, and Erfiani Erfiani. "Penerapan Structural Equation Modelling-Partial Least Squares pada Faktor Kemiskinan di Jawa Tengah." Xplore: Journal of Statistics 11, no. 2 (June 26, 2022): 84–95. http://dx.doi.org/10.29244/xplore.v11i2.875.
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Jumlah penduduk miskin di Jawa Tengah pada Maret 2020 sebesar 3,98 juta orang (11,41%), peringkat kedua terbesar di Pulau Jawa. Angka jumlah penduduk miskin yang relatif tinggi menjadi prioritas bagi pemerintah untuk menanggulangi kemiskinan. Salah satu cara penanggulangan kemiskinan adalah dengan mengetahui faktor kemiskinan. Penelitian ini bertujuan untuk mengidentifikasi faktor kemiskinan di Jawa Tengah menggunakan metode Structural Equation Modelling-Partial Least Squares (SEM-PLS). Data yang digunakan dalam penelitian ini adalah data kabupaten/kota di Jawa Tengah tahun 2020. Pada kasus ini, terdapat satu peubah laten eksogen kesehatan dan tiga peubah laten endogen kemiskinan, ekonomi, dan sumberdaya manusia. Permasalahan yang ditemui adalah data amatan relatif kecil yaitu 35 amatan serta sebaran data tidak memenuhi asumsi kenormalan, sehingga analisis yang tepat digunakan dalam penelitian ini adalah Structural Equation Modelling-Partial Least Squares (SEM-PLS). Hasil penelitian menunjukkan bahwa peubah laten ekonomi dan Sumber Daya Manusia memiliki pengaruh positif tetapi tidak signifikan. Peubah laten kesehatan memiliki pengaruh negatif dan signifikan terhadap peubah laten kemiskinan. Nilai Q2 untuk peubah laten kemiskinan adalah 0,333, hal ini menunjukkan bahwa sebesar 33,3% keragaman peubah laten kemiskinan dapat dijelaskan oleh peubah laten ekonomi, kesehatan, dan sumber daya manusia.
Kata Kunci: Kemiskinan, Structural Equation Modeling (SEM), Partial Least Square (PLS)
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Miftahuddin, Miftahuddin, Retno Wahyuni Putri, Ichsan Setiawan, and Rina Suryani Oktari. "MODELING OF SEA SURFACE TEMPERATURE BASED ON PARTIAL LEAST SQUARE - STRUCTURAL EQUATION." MEDIA STATISTIKA 14, no. 2 (December 28, 2021): 170–82. http://dx.doi.org/10.14710/medstat.14.2.170-182.
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Variability of Sea Surface Temperature (SST) is one of the climatic features that influence global and regional climate dynamics. Missing data (gaps) in the SST dataset are worth investigating since they may statistically alter the value of the SST change. The partial least square-structural equation modeling (PLS-SEM) approach is used in this work to estimate the causality relationships between exogenous and endogenous latent variables. The findings of this study, which are significant indicators that have a loading factor value > 0.7 are as follows: i) sea surface temperature (oC) as a measure of the latent variable changes in SST, ii) wind speed (m/s) and relative humidity (%) as a measure of the latent variable of weather, and iii) air temperature (oC), long-wave solar radiation (w/m2) as a measure of climate latent variables. The size of the Rsquare value is influenced by the number of gaps. The results of the boostrapping show that the latent variables of weather and climate have a significant effect on changes in SST which are indicated by the value of tstatistics > ttabel. The structural model obtained Changes in SST (η) = -0.330 weather + 0.793 climate + ζ. The model shows that the weather has a negative coefficient, which means that the better the weather conditions, the lower the SST changes. Climate has a positive coefficient, which means that the better the climate, the SST changes will also increase. Rising sea surface temperatures caused by an increase in climate can lead to global warming, impacting El-Nino and La-Nina events.
Dissertations / Theses on the topic "Partial Least Squares Structural Equation Modeling (PLS SEM)"
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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 faktorer som påverkar konsumenternas acceptans och avsikt att använda mobila plånböcker. Att skaffa en förståelse till hur och varför en individ väljer att acceptera en ny teknik anses vara en av de viktigaste forskningsaspekterna inom informationssystem. Arbetet baseras på en undersökningsmodell som främst härstammar från UTAUT2 och där analysen av data utfördes med PLS-SEM. Resultatet från denna undersökning kan komma att hjälpa de parter och organisationer som är delaktiga i tillhandahållningen av tjänsten mobila plånböcker att identifiera vilka faktorer konsumenter anser vara viktigast för att påbörja användningen av mobila plånböcker och vad som leder till fortsatt användning. Resultatet av undersökningen visar bland annat på att upplevt värde och förväntad prestanda har störst effekt på avsikten att använda mobila plånböcker.
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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 salient psychosocial features of the classroom environment that influence students‟ motivation and self-regulation in science learning.The first imperative was the development and validation of an instrument to measure salient factors related to the motivation and self-regulation of students in lower secondary science classrooms. The development of the instrument involved identifying key determinants of students‟ motivation and self-regulation based on sound theoretical and research underpinnings. Once the instrument was developed, a pilot study involving 52 students from two grade 8 science classes was undertaken in addition to in-depth qualitative information gathered from 10 experienced science teachers and 12 grade 8 students. Quantitative data were collected from 1,360 students across grades 8, 9 and 10 in five public schools in Perth, Western Australia. Analyses of the data suggest that the survey has strong content, face, convergent, discriminant, concurrent and predictive validity when used with lower secondary students. Quantitative data, gathered from the same sample, established the convergent, discriminant, concurrent and predictive validity of the What Is Happening In this Class? (WIHIC) learning enviromnment instrument when used in lower secondary science classes.Partial Least Square (PLS) based Structural Equation Modeling (SEM) analysis of the data found that students‟ perceptions of investigation, task orientation and student cohesiveness were key determinants of students‟ motivation and self-regulation in science learning. The extent to which students‟ perceive the teacher to be supportive was strongly associated with their learning goal orientation and task value, whilst student involvement was a strong predictor of self-efficacy in science learning. The findings indicated that all three motivational constructs (learning goal orientation, task value and self-efficacy) were strong predictors of students‟ self-regulation in science learning. The most influential motivational belief on boys‟ and girls‟ self-regulation is self-efficacy followed by learning goal orientation. Although for boys the influence of task value was significant, for girls this construct appeared to have a limited impact on their self-regulation in science learning.The present study made distinctive contributions to the field of learning environment as well as to science education as it was the first study in within the field of learning environment research to examine the influence of psychosocial learning environment on both student motivation and self-regulation in the area of science learning. The methodological contribution is the use of a comprehensive and rigorous construct validity framework to develop and validate an instrument to measure students‟ motivation and self-regulation in science learning. The use of the PLS based SEM data analyses in the examination of the research model provided renewed rigor and depth to the interpretation of results. The practical implications presented possible opportunities for educators to plan, and to put into practice, effective pedagogical strategies aimed at increasing students‟ motivation and self-regulation in science learning. The results from the moderating role of gender could be utilised to design targeted intervention programmes that may differ in terms of orientation for girls and boys. The newly-developed survey could be practically valuable as an expedient tool for gathering information that may guide classroom teachers in refocusing their teaching practices and help to evaluate the effectiveness of intervention programmes. Although the focus of this research is on science learning, the findings probably could help educators to understand and improve student motivation and self-regulation in other subject areas.
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Degerli, Mustafa. "Identifying Factors Influencing The Acceptance Of Processes: An Empirical Investigation Using The Structural Equation Modeling Approach." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614321/index.pdf.
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In this research, it was mainly aimed to develop an acceptance model for processes, namely the process acceptance model (PAM). For this purpose, a questionnaire, comprising 3-part and 81-question, was developed to collect quantitative and qualitative data from people having relationships with certain process-focused models and/or standards (CMMI, ISO 15504, ISO 9001, ISO 27001, AQAP-160, AQAP-2110, and/or AS 9100). To revise and refine the questionnaire, expert reviews were ensured, and a pilot study was conducted with 60 usable responses. After reviews, refinements and piloting, the questionnaire was deployed to collect data and in-total 368 usable responses were collected from the people. Here, collected data were screened concerning incorrectly entered data, missing data, outliers and normality, and reliability and validity of the questionnaire were ensured. Partial least squares structural equation modeling (PLS SEM) was applied to develop the PAM. In this context, exploratory and confirmatory factor analyses were applied, and the initial model was estimated and evaluated. The initial model was modified as required by PLS SEM, and confirmatory factor analysis was repeated, and the modified final model was estimated and evaluated. Consequently, the PAM, with 18 factors and their statistically significant relationships, was developed. Furthermore, descriptive statistics and t-tests were applied to discover some interesting, meaningful, and important points to be taken into account regarding the acceptance of processes. Moreover, collected quantitative data were analyzed, and three additional factors were discovered regarding the acceptance of processes. Besides, a checklist to test and/or promote the acceptance of processes was established.
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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 has abandoned sustainability cannot be substantiated. Although IR continues to evolve, the full potential of IR in the corporate reporting environment may not have been realised yet. Therefore, countries and capital market regulators that are considering mandating IR may find the evidence from this study useful in their considerations.
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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 analysis by structural equation modelling (SEM). The first questionnaire revealed two different understandings of lean, and the second explored the underlying causality for lean success, including contingency for business size and product variety.
Many contributions to the body of knowledge issued from this work. First of all, there was a methodological contribution, pioneering explorative structural modelling of full scope lean implementation. Second, SEMs of the lean knowledge-based view showed the profound positive effects of management knowledge on the primary factors for lean success. These factors were shown to be leadership and employee development. Third, the most beneficial lean methods were highlighted for specific scenarios. Fourth, the negligible and negative effects of a consultant-based approach to lean were uncovered. The results showed that the majority of consultants did not aid the long-term performance and sustainability of lean but significantly hindered it, except where masterful consultants acted as coaches. Fifth, a shortage of lean knowledge was observed in New Zealand; their participants averaged only half of what the USA�s did. Sixth, as culture has been emphasised in current literature, the present danger of overly focusing on it was discussed. Seventh was a conceptual contribution integrating lean and risk management, and a practical application with a risk analysis. This developed a risk matrix for the assessment and prioritisation of implementation components. Eighth, some adjustments to government lean strategies were proposed. And finally, the work integrated the findings in a tangible stage process model for implementation in SMEs.
The dissemination of this knowledge has the potential to enhance productivity and commercial success of industries in New Zealand and abroad through successful lean implementations. Lean is not a weak methodology but it has been misunderstood and misapplied.
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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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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, which was opted to analyzing an alternative model that indicates the relevance of the capital demand and offers effects in the level of companies indebtedness. One met evidences on the relevance of direct and indirect costs of bankruptcy and agency costs of borrowing in the determination of the capital structure in analyzed companies.
A partir da teoria sobre estrutura de capital e da aplicação de equações estruturais foi proposto um modelo para avaliar o endividamento das companhias abertas no Brasil. Foram considerados os efeitos das dificuldades financeiras, benefícios fiscais, agency de capital próprio e de capital de terceiros. Computado os resultados optou-se por analisar um modelo alternativo segundo o qual encontramos indícios e relevância dos efeitos da demanda e oferta de capital no nível de endividamento das empresas. Encontrou-se evidências que dificuldades financeiras e agency de capital de terceiros influem na determinação da estrutura de capital das empresas analisadas.
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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 attempts to construct a model of information seeking under risk (MISR) by examining the relationships among perceived risk, knowledge gap, fear arousal, risk propensity, personal relevance, and deprivation and interest curiosity as antecedents to motivation to seek information. An experimental approach and a scenario-based survey method are employed to design the study. Partial least square structural equation modeling (PLS-SEM) analysis was conducted to test the relationships in the proposed model. Perceived risk was found to be a highly significant predictor of information seeking in moderately high-risk situations. Similarly, personal relevant has a significant negative effect on perceived risk and its interaction with knowledge gap motivates information seeking.
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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 2005 in einer breiten empirischen Untersuchung die aktiven Patentanmelder im deutschsprachigen Raum (über 1.000 Unternehmen) mit Hilfe eines standardisierten Fragebogens befragt. Auf der Basis von 325 auswertbaren Fragebögen (Ausschöpfungsquote 36,8 %) konnten zum einen Ergebnisse zum aktuellen Aufgabenspektrum der Patentabteilungen sowie zu deren organisatorischen und personellen Strukturen gewonnen werden. Ebenfalls wurde in dieser Status quo-Analyse der Bekanntheits- und Implementierungsgrad von Methoden und Systemen (z. B. Patentbewertungsmethoden, Patent-IT-Systeme) beleuchtet. Zum anderen wurden die betrieblichen Faktoren herausgestellt, auf die technologieorientierte Unternehmen achten sollten, um das Fundament für eine erfolgreiche Patentsteuerung zu legenEmpirical studies have shown that patents can have a positive effect on corporate success. However, this effect does not occur by itself. Companies have to make an effort to create and to develop a sustainable patent portfolio. So far, no academic studies have investigated into which actions a company can take to establish the internal conditions for successful patent management. To identify and to quantify the relevance of these internal factors, a study was conducted using a standardized written questionnaire with more than 1,000 patent-oriented companies in the German-speaking countries (Germany, Austria, Switzerland, Liechtenstein). In total, 325 valid questionnaires were included in the analyses; this corresponds to an above-average response rate of 36.8 %. These analyses revealed insights into the current task profile of patent departments and their organizational and personnel structures. This status quo analysis also included the investigation into the awareness and implementation level of used methods and systems (e. g. patent evaluation methods, patent IT systems). Furthermore, the study could expose the internal determinants, which technology-oriented companies should focus on to ensure a successful patent management
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Hannes, Egon Martins. "Gestão de projetos de P&D no IPEN: diagnóstico e sugestões ao Escritório de Projetos (PMO)." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/85/85133/tde-30042015-092821/.
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O presente trabalho pretende entender a dinâmica do gerenciamento de projetos no IPEN. Para tal, decidiu-se pela pesquisa junto a literatura acadêmica de modelos que pudessem servir de base e que após modificações e ajustes pudessem refletir a realidade dos projetos de Institutos Públicos Pesquisa & Desenvolvimento. Após tratamento estatístico dos dados algumas hipóteses foram validadas e demonstraram sua influência positiva no desempenho do gerenciamento do projeto, tais como a influência das pessoas que compõem as equipes, o efeito da liderança, dentre outras. O modelo, inclusive mostrou-se válido para explicar quais fatores são relevantes para o sucesso dos projetos. Um das principais objetivos, foi exatamente o uso de modelo de avaliação de gestão projetos, que fossem passíveis de validação estatística, e não utilizar um dos disponíveis no mercado, tais como P3M3 e OPM3, para que houvesse um controle e confirmação estatística dos resultados. Outro objetivo foi utilizar um modelo cujas assertivas refletissem a natureza dos projetos de Pesquisa & Desenvolvimento gerenciados pelos pesquisadores do IPEN. Aliás, as referidas assertivas foram formuladas, e enviadas via pesquisa web, e respondidas por praticamente uma centena de profissionais do IPEN, envolvidos com projetos de P&D. A presente dissertação, acrescida das recomendações, ao final, tem como proposta servir de contribuição para os trabalhos desenvolvidos pelo Escritório de Projetos do IPEN. O modelo de avaliação, contido neste trabalho, pode ser aplicado em outras Instituições de P&D brasileiras, para que avaliem a forma e a maneira como gerenciam os seus respectivos projetos.This paper aims to understand the dynamics involved in the project management at IPEN. To reach this goal, the method chosen was research along with academic literature of models that could serve as a base that after modifications and adjustments could reflect the reality of projects from the Public Institute of Research & Development. After undergoing statistical treatment of the data, some hypotheses were validated and showed positive influence on the project management performance, such as the influence of people who make up the teams, the leadership effect, among others. In fact, the model was found to be valid in explaining which factors are relevant for the success of the projects. One of the main goals was exactly the use of the project management evaluation model, submitted to statistical validation and not to use one available on the market, such as the P3M3 and OPM3, in order to assure the statistical control and confirmation of the results. Another goal was to use a model whose statements reflected the nature of the Research & Development project managed by researchers at IPEN. In fact, the aforementioned statements were formulated and sent via a web survey and answered by almost one hundred IPEN professionals who work on R&D projects. The following dissertation, along with the recommendations at the end, was included to serve as contribution to work developed by the IPEN Project Offices. The evaluation model included in this paper can be applied in other R&D organizations in Brazil, to evaluate the way their projects are managed.
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Feitosa, Evelyn Seligmann. "A existência e a divulgação de ativos intangíveis em processos de fusões & aquisições na frança e o desempenho empresarial financeiro." Universidade Presbiteriana Mackenzie, 2011. http://tede.mackenzie.br/jspui/handle/tede/777.
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Previous issue date: 2011-11-10Fundo Mackenzie de Pesquisa
The allocation of resources and the constant search for competitive advantages differentiators to reach best results are always business challenges. In the contemporary context, in order to achieve superior performance, it reinforces the company's need to have, and make good use, of scarce, valuable, non-substitutable and inimitable resources. These resources include brands, customer base, knowledge, ability and competence of the work teams, corporate culture, partnerships and operational processes established, among other intangible assets, usually arising from a long and risky development process. Mergers and acquisitions (M & A) arise, then, as an important strategic action, being an alternative means to obtain and accelerate the accumulation of these resources within the companies. That is the subject of this work, which discusses the importance of existing and intangible assets disclosed, previous to the M & A transactions, their classification into various types, measurement, and impact on the resulting firm's financial performance in long term. The overall objective of this thesis was to analyze how this performance, after a minimum period of 36 months of the event, is related to the existence, level of disclosure and the nature of intangible assets in the organizations involved. One hundred-eighteen (118) companies were investigated in fifty-nine (59) cases of M & A occurred in France between 1997 and 2007; the study reflects a multi-method research, pluralistic, on qualitative and quantitative aspects. Intangible assets disclosure indicators were built by applying the content analysis technique to financial and accounting reports provided by the companies prior to the events, as well as financial indicators (proxies) for the existence of intangibles were calculated. These indicators were initially confronted with each other and later their explanatory power in relation to financial ratios of growth and profitability (for the corporation and its shareholders), which are the analyzed dimensions of financial performance. Many methods for statistical analysis were used in the multivariate data analysis (correlations and factor analysis, multiple regressions) and in the structural equation modeling (SEM), via Partial Least Squares (PLS). A total of twelve models, with statistics significance, were established to express the relationship among the constructs examined. Best results were achieved in the models developed with variables of semantic origin, in detriment of those with financial indicators only. The results obtained in this thesis leads to deduce that, in this study, there are positive relationships between the existence and the disclosure of intangible assets by firms involved in the operations of M & A and subsequent financial performance, measured by the corporate profitability and the growth of the resulting organization. This suggests that the strategic choice for business growth via M & A operations is favorable to the accumulation of intangible assets in the firms, in search for better results.
A alocação de recursos e a constante busca por diferenciais competitivos, visando melhores resultados, são grandes desafios empresariais. No contexto contemporâneo, para obter desempenho superior, reforça-se a necessidade de a empresa dispor, e fazer bom uso, de recursos raros, valiosos, não-substituíveis e de difícil imitação. Dentre estes recursos, destacam-se aspectos como as marcas, a base de clientes, o conhecimento, a capacidade e competência das equipes de trabalho, a cultura corporativa, as parcerias e os processos operacionais estabelecidos, dentre outros ativos intangíveis, geralmente decorrentes de longos e arriscados processos de desenvolvimento. As fusões e aquisições (F&A) surgem, então, como movimentos estratégicos importantes, sendo meio alternativo para obter e acelerar a acumulação destes recursos nas empresas. É essa a temática deste trabalho, que discorre sobre a importância dos ativos intangíveis existentes e divulgados previamente às operações de F&A de empresas, sobre a classificação dos seus diversos tipos, a sua mensuração e o seu impacto sobre o desempenho financeiro da firma resultante, no longo prazo. O objetivo geral desta tese foi analisar como este desempenho, após prazo mínimo de 36 meses do evento, está relacionado à existência, ao nível de divulgação e à natureza dos ativos intangíveis das organizações envolvidas. Foram investigadas 118 empresas, em 59 casos de F&A ocorridos na França entre 1997 e 2007, em uma pesquisa multi-métodos, pluralística, nas vertentes qualitativa e quantitativa. Foram construídos indicadores de divulgação (disclosure) de ativos intangíveis, mediante aplicação da técnica de análise de conteúdos aos relatórios contábil-financeiros disponibilizados pelas empresas antes do evento, e calculados indicadores financeiros (proxies) para a existência de intangíveis. Estes indicadores foram inicialmente confrontados entre si e posteriormente quanto ao seu poder explicativo em relação aos índices financeiros de crescimento e de lucratividade (empresarial e para os acionistas), que são as dimensões analisadas do desempenho financeiro. Utilizaram-se métodos de análise estatística de dados multivariados (análises de correlações, fatoriais, regressões múltiplas) e modelagem em equações estruturais, via Partial Least Squares (SEM- PLS). Foram estabelecidos, no total, doze modelos com significância estatística para expressar o relacionamento entre os construtos examinados. Alcançaram-se melhores resultados nos modelos desenvolvidos com variáveis de origem semântica, em detrimento daqueles que utilizaram indicadores exclusivamente financeiros. Os resultados obtidos nesta tese permitiram deduzir que há relações positivas entre a existência e a divulgação de ativos intangíveis pelas firmas envolvidas nas operações de F&A estudadas e o posterior desempenho financeiro, mensurado pela lucratividade empresarial e pelo crescimento, da organização resultante. Isto sugere que a opção estratégica por crescimento empresarial via operações de F&A é favorável ao acúmulo de recursos intangíveis nas firmas, na busca por melhores resultados.
Books on the topic "Partial Least Squares Structural Equation Modeling (PLS SEM)"
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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. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80519-7.
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Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2021.
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Hult, G. Tomas M., Joseph F. Jr Hair, Marko Sarstedt, and Christian M. Ringle. Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2013.
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Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2013.
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Hult, G. Tomas M., Joseph F. Jr Hair, Marko Sarstedt, and Christian M. Ringle. Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2016.
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Hair Jr., Joseph F., Christian M. Ringle, Siegfried P. Gudergan, Julen Castillo Apraiz, Gabriel A. Cepeda Carrión, and José Luis Roldán. Manual avanzado de Partial Least Squares Structural Equation Modeling (PLS-SEM). OmniaScience, 2021. http://dx.doi.org/10.3926/oss.407.
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Este libro es una traducción autorizada por Sage del libro Advanced Issues in Partial Least Squares Structural Equation Modeling. Concebido como una ampliación del Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (segunda edición)*, esta guía práctica de fácil manejo abarca contenido avanzado de PLS-SEM para ayudar a los estudiantes e investigadores a aplicar técnicas sobre problemas de investigación y a interpretar oportunamente los resultados. El libro aporta un resumen de conceptos básicos antes de centrarse en aspectos más avanzados. Además, ofrece amplios ejemplos del software SmartPLS 3 (www.smartpls.com) y viene acompañado de bases de datos de descarga gratuita. En el libro se subraya la necesidad de aplicar cuidadosamente cualquier enfoque de PLS-SEM para asegurarnos de que éste encaje con el contexto de investigación y las características de los datos. Características clave: · Uso limitado de fórmulas, ecuaciones, símbolos y notaciones similares que hace que se comprendan los conceptos fácilmente. · Disponibilidad de reglas prácticas en cada capítulo que aportan guías concretas de mejores prácticas para aplicar e interpretar PLS-SEM y preparar artículos para su publicación en revistas científicas. · Empleo de un mismo ejemplo y base de datos a lo largo de todo el libro para facilitar la consistencia en los aspectos relacionados con el caso propuesto. · Conjunto de recursos que se pueden descargar de manera gratuita: bases de datos y proyectos de SmartPLS para practicar las técnicas planteadas. · Manual traducido y actualizado con pies de página con los desarrollos más recientes de PLS-SEM. -------- *Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (segunda edición) Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G., & Roldán, J. L. (2019). Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM). OmniaScience Scholar, Terrassa, Barcelona.
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A primer on partial least squares structural equation modeling (PLS-SEM) - 2. edición. SAGE Publications, 2017.
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Hair Jr., Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Julen Castillo Apraiz, Gabriel A. Cepeda Carrión, and José Luis Roldán. Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición). OmniaScience, 2019. http://dx.doi.org/10.3926/oss.37.
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Partial Least Squares Structural Equation Modeling (PLS-SEM) Applications in Economics and Finance. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-2621-8.
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Hwui, Chan Sane, and Lay Yoon Fah. Affective Domains Contributing to Behavioural Intention in Teaching Science. UMS Press, 2020. http://dx.doi.org/10.51200/affectivedomainsumspress2020-978-967-2962--27-4.
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The teaching profession is a highly stressful occupation and susceptible to burnout due to high levels of workload compared to other contact occupations. In Malaysia, the majority of science teachers are experiencing physical and mental drain after long periods of teaching service and mundane routine year in and year out. Despite the general assumptions of a teacher’s job is merely teaching from a textbook, a teacher’s workload includes teaching-related (class preparation and classroom management) and non-teaching related (administration and meetings). All these challenges required teachers to possess high self-efficacy beliefs, great teaching motivation, and positive attitudes toward teaching science. When the development of the affective domain is neglected during pre-service years, teachers’ behavioural intention in teaching science will subside gradually. This may cause emotional exhaustion, feelings of ineffectiveness, and job burnout when the pre-service teachers start to work in a high-pressure environment. The prime focus of this book includes the use of Partial Least Square-Structural Equation Modelling (PLS-SEM) approach in studying the mediating effect of attitudes toward teaching science in the relationship between teacher self-efficacy beliefs and teaching motivation on behavioural intention in teaching science. This book provides insights for policymakers to formulate courses on managing personal affective domains in the teacher education curriculum. It is also hoped that this book will be of interest to academicians and researchers on the topic related to teacher education and teaching professional development.
Book chapters on the topic "Partial Least Squares Structural Equation Modeling (PLS SEM)"
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Ayadurai, Charmele, and Rasol Eskandari. "Bank Soundness: A PLS-SEM Approach." In Partial Least Squares Structural Equation Modeling, 31–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_2.
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Nitzl, Christian. "Management Accounting and Partial Least Squares-Structural Equation Modelling (PLS-SEM): Some Illustrative Examples." In Partial Least Squares Structural Equation Modeling, 211–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_7.
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Ramli, Nur Ainna, Hengky Latan, and Gilbert V. Nartea. "Why Should PLS-SEM Be Used Rather Than Regression? Evidence from the Capital Structure Perspective." In Partial Least Squares Structural Equation Modeling, 171–209. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_6.
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Rick, Sebastian, and Ralf Jasny. "The Compliance Index Model: Mitigating Compliance Risks by Applying PLS-SEM to Measure the Perceived Effectiveness of Compliance Programs." In Partial Least Squares Structural Equation Modeling, 125–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_5.
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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, 1–29. Cham: 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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Hallak, Rob, and Guy Assaker. "Using Partial Least Squares Structural Equation Modeling (PLS-SEM) in Tourism Research." In Management Science in Hospitality and Tourism, 99–123. Warentown, New Jersey : Apple Academic Press Toronto, 2015. | Series: Advances in hospitality and tourism: Apple Academic Press, 2017. http://dx.doi.org/10.1201/b19937-6.
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Cataldo, Rosanna, Laura Antonucci, Corrado Crocetta, Maria Gabriella Grassia, and Marina Marino. "A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation." In Proceedings e report, 49–54. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-304-8.11.
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Structural equation modeling (SEM), especially partial least squares path modeling (PLS-PM) has become a mainstream method in many fields of research. In the last years it has been increasingly disseminated in a variety of disciplines. The researchers have been promoting this new statistical methods for the evaluation of policies. Generally, policy evaluation applies evaluation principles and methods to examine the content, implementation or impact of a policy. To better understand and characterize this trend, a bibliometric study of international papers on this subject has been developed in order to describe the use of SEM and PLS-PM approaches in the policy evaluation in the almost last 20 years. A total of 450 articles from 2000 to 2020 have been selected and analyzed in order to discover the research trends in this field and the main dimensions and words related to the terms “decision making” and “SEM-PLS” approach, that are most commonly employed in the scientific literature. The research has been conducted in theWeb of Science from ISI Web of Knowledge database and Scopus database, with the aim of identifying the major themes, authors, areas, types of the sources, titles, years of publication and countries of these publications, as well as the main themes related to the two topic analyzed
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Saravanos, Antonios, Olivia Verni, Ian Moore, Aboubacar Sall, Jen Arriaza, Sabrina Jivani, Audrey Bennett, Siqi Li, Dongnanzi Zheng, and Stavros Zervoudakis. "Investigating End-User Acceptance of Last-Mile Delivery by Autonomous Vehicles in the United States." In Lecture Notes in Computer Science, 519–32. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-18158-0_37.
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AbstractThis paper investigates the end-user acceptance of last-mile delivery carried out by autonomous vehicles within the United States. A total of 296 participants were presented with information on this technology and then asked to complete a questionnaire on their perceptions to gauge their behavioral intention concerning acceptance. Structural equation modeling of the partial least squares flavor (PLS-SEM) was employed to analyze the collected data. The results indicated that the perceived usefulness of the technology played the greatest role in end-user acceptance decisions, followed by the influence of others, and then the enjoyment received by interacting with the technology. Furthermore, the perception of risk associated with using autonomous delivery vehicles for last-mile delivery led to a decrease in acceptance. However, most participants did not perceive the use of this technology to be risky. The paper concludes by summarizing the implications our findings have on the respective stakeholders, and proposing the next steps in this area of research.
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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, 993–1006. Cham: 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, 1–14. Cham: 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.
Conference papers on the topic "Partial Least Squares Structural Equation Modeling (PLS SEM)"
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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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Fah, Lay Yoon, Ng Khar Thoe, Khoo Chwee Hoon, and Chan Sane Hwui. "EXAMINING THE PSYCHOMETRIC PROPERTIES OF A MALAYSIAN RELEVANCE OF SCIENCE EDUCATION (MROSE) QUESTIONNAIRE USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM)." In 3rd International Baltic Symposium on Science and Technology Education (BalticSTE2019). Scientia Socialis Ltd., 2019. http://dx.doi.org/10.33225/balticste/2019.56.
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This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students’ interests, attitudes, values, and priorities in S&T-related issues. Partial Least Squares-Structural Equation Modeling approach was used to evaluate the validity and reliability of the instrument. The internal consistency reliability (composite reliability and Cronbach’s Alpha coefficient), convergent validity (Average Variance Extracted), and discriminant validity (cross loadings, Fornell-Larcker criterion, and Heterotrait-Monotrait ratio) for each individual item of the instrument were being assessed. Keywords: affective factor, PLS-SEM, science and technology, relevance of science education (ROSE).
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Moufad, Imane, Fouad Jawab, Jabir Arif, and Imane Ibn El Farouk. "Dataset of the factors influencing the urban freight transport performance: A partial least squares-structural equation modelling approach (PLS-SEM)." In 2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2022. http://dx.doi.org/10.1109/logistiqua55056.2022.9938114.
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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 either correlation functions (CF) or material properties, or both. By building a reflective structural model, we are able to deal with high correlations among all candidate descriptors, gain more insights into their relations, and identify latent factors for categorizing microstructure features. The proposed approach begins with an Exploratory Factor Analysis (EFA) for grouping and reducing descriptors to determine the proper structure of microstructure descriptors as indicators of latent factors. The SEM analysis is then applied to identify the key descriptors using the Partial Least Squares (PLS) algorithm. The nanodielectric system with epoxy-nanosilica is used as an example to illustrate and validate the proposed approach. The potential use of identified key microstructure descriptors for optimal design of microstructural materials is discussed.
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Muh. Asriadi, A. M., Sulaiman Helmi, G. K. Kassymova, H. Retnawati, Samsul Hadi, and Edi Istiyono. "Effect of Job Satisfaction on Service Quality mediated by Lecturer Performance at State Universities." In Challenges of Science. Institute of Metallurgy and Ore Beneficiation, 2022. http://dx.doi.org/10.31643/2022.08.
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Job satisfaction achieved by lecturers can affect all aspects of productivity, from performance to the quality of services provided in the academic community. This study focuses on analyzing the effect of job satisfaction on service quality with the performance of lecturers as mediators. This study uses an explanatory research method involving 140 respondents from lecturers who teach at state universities. Respondents were chosen by the simple random technique to fill in the questionnaire instrument with the same. The data analysis technique used was Structural equation modeling-partial least squares (SEM-PLS) with the help of Smart PLS 3. The results showed that job satisfaction had a significant direct effect on lecturer performance. However, it does not have a significant direct effect on the quality of lecturer services. On the other hand, the performance of lecturers has a significant direct effect on the quality of lecturer services. In addition, the performance of lecturers also acts as a full mediator so that job satisfaction can affect the quality of lecturer services. The structural model formed also fits the empirical data so that this research can be used as a reference to improve the quality of lecturer services in state universities.
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Subramanian Iyer, Shankar, Arumugam Seetharaman, and Bhanu Ranjan. "Researching Blockchain Technology and its Usefulness in Higher Education." In 2nd International Conference on Machine Learning, IOT and Blockchain (MLIOB 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111203.
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The current paper focuses on the potential of using Blockchain Technology (BCT) in the Higher Education Domain and explores its usefulness in solving Higher Education issues. This research discusses the Blockchain features, challenges and its benefits in education, followed by review of some current Blockchain Higher Education applications. This paper reviews the Blockchain Technology (BCT) and its implementation in Higher Education. This research used a quantitative methodology and stratified clustered simple random sampling approach. Data has been gathered through an online survey instrument and the partial least squares structural equation modelling (PLS-SEM) technique applied to 383 responses. Blockchain technology has its unique features, benefits that can solve Education system requirements, and its successful implementation issues discussed. An effort made to gather enough consensus to build future implementation. The integrated model of Blockchain features matched to the needs of the Education System by agreement of the experts (discussions), and a survey conducted involving the students, teachers, educationists, Blockchain experts, and professionals, is tested and validated by SEM using PLS.
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Marine, FJ, JC Bribiesca, and A. Arrona-Palacios. "BEHAVIORAL APPROACH ON THE MEXICAN STOCK MARKET MODELED THROUGH PLSSEM." In The 7th International Conference on Education 2021. The International Institute of Knowledge Management, 2021. http://dx.doi.org/10.17501/24246700.2021.7121.
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This paper analyzes the Mexican Stock Market indicators and their relationships to study the ten most representative stocks in The Mexican Stock Market Index between 2011 to 2020, reflecting behavioral effects using the Mexican Volatility Index. A longitudinal research design of 119 observations sample size is modeled monthly; this sample was transformed into categorical variables to reflect emotional stages. The main objective was to analyze the stock market emotions applying a novel approach to create latent behavioral variables using current Mexican behavioral indicators as reflexive constructs. There is a lack of knowledge in using different techniques to model financial behavior in financial and economic modeling. The typical techniques employed to model market time series have been simple and multiple regression, broadly used in this science. Since behavioral science appliances, there is a need for evolution to modeling the complex nature of behavior. Partial Least Squares and Structural Equation Models (PLS-SEM) can manage different scales, complex relations, reflexive or formative models, non-normal data, and small samples. Possible because of the lack of knowledge al flexibility of PLSSEM models, there is an evident lack in the use of this methodology in modern research and financial teaching, so a new methodology for modeling financial data is exposed that can resolve problems in financial researching and teaching. It is relevant to show a way of modeling emotional financial markets; it is recommended the use of this modeling in different kind of data, different countries, characteristics, sectors, industries, or variables, or any possible application in different sciences with the same problems of assumptions like in economics sciences. Keywords: Investor behavior, risk, market efficiency, Structural Equations, and Partial Least Squares methods
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Hrubý, Vojtěch. "PLS-SEM OR CB-SEM? THE UTILIZATION OF PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELLING METHOD IN THE RECENT RESEARCH ARTICLES ON THE ENTREPRENEURIAL ORIENTATION OF SMALL AND MEDIUM-SIZED ENTERPRISES." In 16th International Bata Conference for Ph.D. Students and Young Researchers. Tomas Bata University in Zlín, 2020. http://dx.doi.org/10.7441/dokbat.2020.17.
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Ferrante, Lucrezia, Claudia Venuleo, and Simone Rollo. "PROBLEMATIC INTERNET USE AMONG ADOLESCENTS AND THE VIEW OF CONTEXT: A PLS-STRUCTURAL EQUATION MODEL." In International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact020.
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"The idea of Internet use as a way to face psychosocial malaise is growing in the scientific literature about Problematic Internet Use (PIU). The present study, assuming the Semiotic Cultural Psycho-social Theory (SCPT) (Salvatore, 2018) as theoretical framework, postulates and emphasizes that the context in which the subject is embedded provide the symbolic resources, which ground the way adolescents perceive, experience, and therefore deal with the material and social world, including the likelihood of using the Internet as a way to facing life problems and difficulties. SCTP adopts the term “Symbolic Universes” (SU) to denote affect-laden assumptions concerning the world which may (or not) promote adaptive responses. Specifically, the present study aimed to test a mediation model in which each Symbolic Universes (i.e. independent variable) is associated with the psychosocial malaise in terms of social anxiety, loneliness, and negative emotions (i.e. mediator variable), which in turn has effects on PIU (i.e. dependent variable). Measures of PIU (GPIUS), symbolic universes (VOC), negative affect (PANAS), social anxiety (IAS), loneliness (ILs) among a total of 764 Southern Italy youths aged from 13 to 19 (mean age =15.05 ± 1.152). A Multiple Correspondence Analysis (MCA) was firstly run to detect SU; a Partial Least Squares Structural Equation Modelling (PLS-SEM) was then performed on R for testing the hypothesized mediation model. The results demonstrated that Symbolic Universes characterized by anomie and unreliability of the social context are associated with adolescents’ PIU though the mediation of social anxiety, loneliness, and negative emotions. Overall, findings suggest that within an anomic and unreliable scenario, PIU might acquire the meaning of a way to face life in an environment that seems meaningless, uncertain, and detrimental. On the plane of intervention, this points to the need for programs that address social and cultural influences in youths’ Internet use."