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Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM

Finance --- Least squares. --- R (Computer program language) --- Structural equation modeling. --- Mathematical models. --- Open Access --- PLS-SEM) Using R --- Workbook --- Partial Least Squares Structural Equation Modeling --- R Software Environment

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In light of the considerable impact of global food supply chains on climate change, more sustainable ways of producing, distributing, and consuming food appear critical for sustainable development. With the aim of contributing to this topic, this Special Issue on sustainable food consumption and food marketing addresses various relevant issues related to food consumption, including innovative and sustainable forms of food production and consumption, animal welfare and meat consumption, price transmission, social media communication, alternative food production, and organic agriculture, among others. As such, this Special Issue sheds light on more sustainable and carbon-friendly food production and consumption systems from various angles. It delivers valuable scientific evidence for the transformation of current carbon-based food supply chains to more eco-friendly, fair, and future-oriented food supply chains.

aquaponics --- Structural Equation Modeling --- consumer behavior --- purchase intention --- willingness to pay --- sustainability --- food market --- veganic --- vegan-organic --- vegan --- stockless --- attitudes --- environmental marketing --- green product --- green consumer --- green purchase decision --- consumer behaviour --- theory of planned behaviour --- sustainable consumption --- Bangladesh --- out-of-home catering --- sustainable nutrition --- variety seeking --- spontaneous choice --- company canteens --- trust --- social media --- small and medium enterprises --- Bresse Gauloise --- choice experiment --- dual-purpose breeds --- faba beans --- Kollbecksmoor --- theory of planned behavior --- Vorwerkhuhn --- White Rock --- green products --- palm oil free --- structural equation modeling --- SEM --- sustainable food consumption --- food waste --- theoretical framework --- food tourism --- community-based tourism --- sustainable development --- community engagement --- rural development --- food heritage --- carbon-friendly food --- emotions --- animal welfare --- cured ham --- discrete choice experiment --- latent construct model --- market instability --- nonlinear empirical dynamics --- n/a

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Los objetivos centrales de este trabajo son dos: 1. Establecer un conjunto de principios que nos permitan traducir a modelos matemáticos las proposiciones teoricas que originan variables cualitativas. 2. Analizar los problemas de ajuste que se encuentran involucrados en su estimación

Politics and government. --- Ruiz Cortines, Adolfo, --- Mexico. --- Mexico --- Política y gobierno --- Politics and government --- Anáhuac --- Estados Unidos Mexicanos --- Maxico --- Méjico --- Mekishiko --- Meḳsiḳe --- Meksiko --- Meksyk --- Messico --- Mexique (Country) --- República Mexicana --- Stany Zjednoczone Meksyku --- United Mexican States --- United States of Mexico --- מקסיקו --- メキシコ --- Regression analysis. --- Social sciences --- Statistical methods. --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Sociology

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This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed. An alternative to analyse non-normal distributed response variables is the use of generalized linear models (GLM) to describe the response data with an exponential family distribution that perfectly fits the real response. Extending this idea to models with random effects allows the use of Generalized Linear Mixed Models (GLMMs). The use of these complex models was not computationally feasible until the recent past, when computational advances and improvements to statistical analysis programs allowed users to easily, quickly, and accurately apply GLMM to data sets. GLMMs have attracted considerable attention in recent years. The word "Generalized" refers to non-normal distributions for the response variable and the word "Mixed" refers to random effects, in addition to the fixed effects typical of analysis of variance (or regression). With the development of modern statistical packages such as Statistical Analysis System (SAS), R, ASReml, among others, a wide variety of statistical analyzes are available to a wider audience. However, to be able to handle and master more sophisticated models requires proper training and great responsibility on the part of the practitioner to understand how these advanced tools work. GMLM is an analysis methodology used in agriculture and biology that can accommodate complex correlation structures and types of response variables.

Biometry. --- Multivariate analysis. --- Regression analysis. --- Agriculture. --- Biostatistics. --- Multivariate Analysis. --- Linear Models and Regression. --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Statistical methods --- Generalized Linear Mixed Models --- non normal distribution --- GLM --- GLMM --- Model Inference --- non normal response --- Models lineals (Estadística) --- Agricultura --- Estadística matemàtica --- Biometria

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Sustainability comes in many forms and is increasingly linked to strategy and to marketing. Organizations have long since recognized the importance of corporate social responsibility and, hence, it is the upper echelon of the enterprise that is involved in the major decisions in this area. Dedicated and specialized teams are the future of organizational sustainability, and we predict that the next decade will see an exponential increase in sustainable activity and investment. Firms cannot afford to let certain opportunities pass without leaving their mark—a mark which will affect the brand and, more importantly, consumers’ minds and their attitudes towards the market of products and services. The market in general will have to adapt to the circular economy and to the well-being of employees and, indeed, of society and its stakeholders, in order to prosper. We are glad to have made even a small contribution to the growing debate on green and soft issues, such as those contained in this book.

new ways of working --- performance --- structural equation modeling --- work engagement --- scale validation --- SEM --- wine storytelling --- wine tasting excitement --- wine involvement --- winescape --- employer branding --- affective commitment --- talent management --- strategy --- personal marketing --- franchising --- franchisor --- global expansion --- case study --- cross-listing --- financial leverage --- R&D investment --- corporate sustainability --- systematic literature revision --- content community --- sustainable marketing --- SMIs marketing --- consumer advice network --- opinion leaders --- network structure --- sustainability --- supply chain --- purchasing policies --- coffee business and production --- Delta Cafés --- Grupo Nabeiro --- sustainable business --- sustainable practices --- food safety --- buying process --- agrifood products --- n/a --- Delta Cafés