Article
Business
Marko Sarstedt, Joseph F. Hair, Mandy Pick, Benjamin D. Liengaard, Lacramioara Radomir, Christian M. Ringle
Summary: This paper presents a new analysis of the use of partial least squares structural equation modeling (PLS-SEM) in marketing research, focusing on articles published between 2011 and 2020 in the top 30 marketing journals. The study finds that although researchers are more aware of the when's and how's of PLS-SEM use, there is still some delay in adopting the best practices for model evaluation. Recommendations for future PLS-SEM use, guidelines for its application, and areas of further research interest are provided based on the review results.
PSYCHOLOGY & MARKETING
(2022)
Article
Multidisciplinary Sciences
Emilio Gomez-Gonzalez, Alejandro Barriga-Rivera, Beatriz Fernandez-Munoz, Jose Manuel Navas-Garcia, Isabel Fernandez-Lizaranzu, Francisco Javier Munoz-Gonzalez, Ruben Parrilla-Giraldez, Desiree Requena-Lancharro, Pedro Gil-Gamboa, Cristina Rosell-Valle, Carmen Gomez-Gonzalez, Maria Jose Mayorga-Buiza, Maria Martin-Lopez, Olga Munoz, Juan Carlos Gomez-Martin, Maria Isabel Relimpio-Lopez, Jesus Aceituno-Castro, Manuel A. Perales-Esteve, Antonio Puppo-Moreno, Francisco Jose Garcia-Cozar, Lucia Olvera-Collantes, Raquel Gomez-Diaz, Silvia de los Santos-Trigo, Monserrat Huguet-Carrasco, Manuel Rey, Emilia Gomez, Rosario Sanchez-Pernaute, Javier Padillo-Ruiz, Javier Marquez-Rivas
Summary: This study demonstrates the feasibility of using hyperspectral image analysis in the visible and near-infrared range for primary screening of SARS-CoV-2. By applying spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence, information can be extracted from fluid samples and analyzed quantitatively and descriptively. The proposed technology is reagent-free, fast, scalable, and could significantly reduce the number of molecular tests required for COVID-19 mass screening, even in resource-limited settings.
SCIENTIFIC REPORTS
(2022)
Article
Psychology, Multidisciplinary
Mingyue Fan, Motswedi Epadile, Sikandar Ali Qalati, Naveed Akhtar Qureshi
Summary: This study explores the influence of eGovernment efficiency on users' subjective wellbeing, using trust as a covert stimulus to alter individuals' behavior. The results reveal positive correlations between eGovernment efficiency and trust, trust and utilization, and utilization and subjective wellbeing.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Business
Carl Kuhl, Michael Bourlakis, Emel Aktas, Heather Skipworth
Summary: This paper explores the relationship between product-service systems (PSSs) and circular supply chain (CSC) practices. It finds that product-oriented PSSs have a positive impact on slowing resource loops, use-oriented PSSs have a positive impact on closing resource loops, and result-oriented PSSs have a positive impact on both slowing and narrowing resource loops. Internal environmental orientation does not moderate the PSS-CSC relationship.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Business
Ganesh Dash, Justin Paul
Summary: This study compares two widely used Structural Equation Modeling methods: CB-SEM and PLS-SEM. It finds that PLS-SEM has higher item loadings, AVE and CR values, indicating better construct reliability and validity. CB-SEM performs better in providing model fit indices.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Public, Environmental & Occupational Health
Madeleine Gernert, Gerrit Stassen, Andrea Schaller
Summary: This study examined the associations between a structural model of health literacy, sociodemographic context factors, and work ability among employees with health-related risk factors. The findings suggest that self-regulation and self-perception have significant impacts on work ability, and age is also associated with work ability.
FRONTIERS IN PUBLIC HEALTH
(2022)
Review
Business
Marko Sarstedt, Lacramioara Radomir, Ovidiu Ioan Moisescu, Christian M. Ringle
Summary: With the increasing use of partial least squares structural equation modeling (PLS-SEM) in business research, latent class analyses for identifying and addressing unobserved heterogeneity have also gained attention. Finite mixture PLS (FIMIX-PLS) plays a central role in this area, but researchers need to make careful choices to avoid incorrect results.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Plant Sciences
Longfeng Wu, Chongxian Chen
Summary: Urban green space is important for public health, but the role of spatial patterns in this process is not well understood. This study examined how the spatial patterns of green space improve life satisfaction by reducing air pollution. The results showed that while green space patterns did not directly promote life satisfaction, larger size and less fragmentation of green spaces were associated with reduced air pollution. Highly dense and diverse green space patterns were related to higher life satisfaction. However, adopting a fragmented green space pattern to reduce air pollution may have negative impacts on life satisfaction.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Environmental Studies
Adarsh Yadav, Jyoti Mandhani, Manoranjan Parida, Brind Kumar
Summary: This study develops a traffic noise prediction model using an integrated Bayesian networks and Partial least squares structural equation modeling approach and identifies the direct and indirect effects of five influential factors on traffic noise. Traffic flow attributes and honking are the most crucial factors in degrading the acoustical climate at intersections.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Mathematics
Mariano Mendez-Suarez
Summary: In this study, it was found that the maximum entropy bootstrapping (meboot) designed for time series data outperforms traditional sampling bootstrapping in maintaining data consistency and conducting significance analysis, especially in multichannel retailing with seasonal events.
Article
Business
Maria-Teresa Mendez-Picazo, Miguel-Angel Galindo-Martin, Maria-Soledad Castano-Martinez
Summary: Concern about environmental problems has led to greater attention to the sustainable development objective. Social entrepreneurship and entrepreneurship in general are closely related to this objective due to their activities in developing new products, seeking new markets, and introducing innovations. Identifying variables that influence these entrepreneurship types is important in designing measures to stimulate sustainable development.
JOURNAL OF INNOVATION & KNOWLEDGE
(2021)
Article
Construction & Building Technology
Amer Nikpour, Mahdokht Ashoori
Summary: This research investigates resilience in urban management by considering the entire urban system from different aspects and incorporating the perspectives of urban managers and crisis management experts. It utilizes a structural equation modeling approach and selects indicators based on reports from UN-Habitat, the Rockefeller Foundation, and Arup. The findings can be applied to cities with similar management structures to enhance the awareness of urban planners and local managers in identifying weaknesses and strengths towards greater resilience.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Psychology, Multidisciplinary
Shaohua Yang, Salmi Mohd Isa, Hongyan Wu, Ramayah Thurasamy, Xi Fang, Yedan Fan, Danping Liu
Summary: This study investigates the effects of store environment components on Chinese consumers' emotions and intentions to purchase luxury brands, utilizing the S-O-R model and fsQCA method. The results show that music, scent, and employee interaction significantly influence consumers' emotions.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Agriculture, Multidisciplinary
Yongni Shao, Jialing Liu, Zhi Zhu, Yutian Wang, Yiming Zhu, Yan Peng
Summary: This study investigates the feasibility of using terahertz spectroscopy for synchronous detection on metabolites concentration in microalgae production process. By capturing terahertz spectrum of stressed Haematococcus Pluvialis under nitrogen starvation, a correlation between metabolite contents and characteristic peak intensities was established, showing relatively accurate prediction of metabolite concentrations. A precise model combining partial least squares with intensities of interval characteristic peaks demonstrated high prediction correlation coefficients, low root-mean-square error of prediction, and validation of terahertz spectroscopy for monitoring metabolites concentration.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Business
Marko Sarstedt, Joseph F. Hair, Christian M. Ringle
Summary: The passage discusses the significance of a paper published in the Journal of Marketing Theory & Practice in 2011, which became a cornerstone contribution in the field. The authors offer a review of their own paper from the perspective of reviewers with current knowledge, clarifying ambiguities and updating outdated descriptions.
JOURNAL OF MARKETING THEORY AND PRACTICE
(2023)
Article
Business
Pratyush N. Sharma, Benjamin Dybro D. Liengaard, Joseph F. Hair, Marko Sarstedt, Christian M. Ringle
Summary: This paper addresses the research gap in predictive model assessment and selection in composite-based modeling. It proposes several extensions to the cross-validated predictive ability test (CVPAT) and provides guidelines for applying these extensions and reporting the results. The paper emphasizes the importance of prediction-oriented model assessments and recommends the routine application of CVPAT and its extensions for analyzing theoretical models.
EUROPEAN JOURNAL OF MARKETING
(2023)
Review
Hospitality, Leisure, Sport & Tourism
Jan-Michael Becker, Jun-Hwa Cheah, Rasoul Gholamzade, Christian M. Ringle, Marko Sarstedt
Summary: This study addresses the uncertainties and questions surrounding the application of PLS-SEM by analyzing a well-known discussion forum. The authors identify the most prominent topics in PLS-SEM and provide guidelines and explanations for each topic. This research provides valuable guidance for PLS-SEM applications in hospitality management research.
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT
(2023)
Article
Business
Edward Rigdon, Marko Sarstedt, Ovidiu-Ioan Moisescu
Summary: Multimodel inference allows researchers to accurately represent uncertainty about the best model by using Akaike weights and bootstrapping to quantify model selection uncertainty and minimize bias from dubious assumptions.
INTERNATIONAL JOURNAL OF CONSUMER STUDIES
(2023)
Article
Business
Peter Guenther, Miriam Guenther, Christian M. Ringle, Ghasem Zaefarian, Severina Cartwright
Summary: A review of studies published in Industrial Marketing Management over the past two decades and more shows that partial least squares structural equation modeling (PLS-SEM) is widely used to estimate and validate theoretical models. However, researchers' reasons for using PLS-SEM are often not fully convincing and their assessment and reporting of measurement and structural models are insufficient. Advanced PLS-SEM analytic techniques are seldom applied, despite their potential for enhancing results' robustness and generating new insights. This paper aims to clarify the appropriate use of PLS-SEM by reviewing business marketing studies and provides guidelines and checklists for future applications.
INDUSTRIAL MARKETING MANAGEMENT
(2023)
Review
Business
Linda D. Hollebeek, Marko Sarstedt, Choukri Menidjel, David E. Sprott, Sigitas Urbonavicius
Summary: This study reviews the major scales used to measure consumer engagement (CE) with a brand or specific brand elements and finds theoretical contamination in some measures, highlighting the need for scholars to verify the theoretical foundations of their adopted CE scales.
PSYCHOLOGY & MARKETING
(2023)
Article
Multidisciplinary Sciences
Christian M. Ringle, Marko Sarstedt, Noemi Sinkovics, Rudolf R. Sinkovics
Summary: This perspective article provides a guide for authors who want to publish stand-alone data articles that can be analyzed using partial least squares structural equation modeling (PLS-SEM). It offers actionable recommendations for the conceptualization phase, suitable data types, quality criteria, and presents adjusted versions of the HTMT metric for discriminant validity testing. The article also highlights the benefits of linking data articles to published research papers that use PLS-SEM.
Article
Multidisciplinary Sciences
Marko Sarstedt, Christian M. Ringle, Denis Iuklanov
Summary: Corporate reputation is crucial for a company's competitiveness, and managers need to understand its relationship with antecedents and consequences. This article presents a dataset that replicates a model of corporate reputation and its impact on customer satisfaction and loyalty. Mediators and moderators in these relationships extend the model to clarify the mechanism through which corporate reputation affects satisfaction and loyalty. The main effects of the model are documented using PLS-SEM.
Article
Information Science & Library Science
Zita K. Lucius, Svenja Damberg, Martin Meinel, Christian M. Ringle
Summary: The purpose of this study is to investigate how remote work affects the relationship between internal corporate social responsibility (ICSR) and employee creativity during times of uncertainty. The authors find that ICSR activities increase employee creativity by reducing threat. However, the effect of ICSR activities is weaker when employees work remotely.
Article
Business
Marko Sarstedt, Ovidiu-Ioan Moisescu
Summary: By introducing a new quality assessment dimension, researchers can view mediation analysis as a type of model comparison, quantifying the degree of uncertainty in model effects induced by the introduction of a mediator. This procedure provides a new means for deciding whether to introduce a mediator in a PLS path model and improves the replicability of research results.
JOURNAL OF MARKETING ANALYTICS
(2023)
Article
Business
Marko Sarstedt, Susanne J. Adler
Summary: Recent research proposed an efficient way of streamlining p-hacking: a metric of randomly generated p-values that always indicates significant results. However, the metric's applicability is limited, as it covers only a small range of use cases relevant to p-hacking researchers. To address this issue, we introduce extra pointless, a new metric that allows researchers to freely specify desired p-value ranges while ensuring full reproducibility. Our newly introduced extra pointless metric not only addresses the limitations of the original metric but also meets the demand for alternative and innovative statistical approaches from editors and reviewers. An R-based, interactive shiny web app assists researchers with limited coding background in applying our metric.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Industrial Relations & Labor
Amanda E. Legate, Christian M. Ringle, Joseph F. Hair Jr
Summary: This paper introduces the application trends and key characteristics of partial least squares structural equation modeling (PLS-SEM) in human resource development, and provides a demonstration of the method to assist practitioners and researchers in understanding and applying it.
HUMAN RESOURCE DEVELOPMENT QUARTERLY
(2023)
Article
Business
Gyeongcheol Cho, Sunmee Kim, Jonathan Lee, Heungsun Hwang, Marko Sarstedt, Christian M. Ringle
Summary: This study compared the efficiency of GSCA and PLSPM in terms of predictive power. The results showed that GSCA(R) is the most versatile approach, performing slightly better than PLSPM with mode A for observed prediction. Both methods performed equally well for operative prediction. GSCA with formative composite indicators and PLSPM with mode B generally lagged behind the other methods.
EUROPEAN JOURNAL OF MARKETING
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Yide Liu, Hiram Ting, Christian Ringle
Summary: Appreciation is a crucial factor in enhancing customers' evaluations and behavioral intention towards ethnic restaurants. This study reveals that utilitarian value, hedonic value, and cultural motivation have positive effects on appreciation, which in turn positively influences customers' behavioral intention. Additionally, utilitarian value and hedonic value also directly and positively affect behavioral intention.
JOURNAL OF HOSPITALITY & TOURISM RESEARCH
(2023)
