21,341 research outputs found
Development and Update of Guidelines to Perform and Report Partial Least Squares Path Modeling in Information Systems Research
Partial least squares (PLS) path modeling has been widely and dominantly used in the field of Information Systems (IS) during decades. The usage and prescriptions for performing PLS path modeling has been recently examined, debated, and improved, which have generated substantial changes, contributions, and developments (e.g., composite models, confirmatory composite analysis, bootstrap-based test of overall model fit evaluation) on a separate manner that requires a holistic piece of work to guide IS scholars. This paper introduces PLS path modeling to be skilled to perform and report a high quality PLS analysis by following the latest suggested standards. We provide a constructive and illustrative example on a model on business value of social media in companies using data simulated for 300 observations to explain the latest contributions in PLS path modeling. The key contribution of this manuscript is the description, position, explanation, development, and illustration at the user-level, of the when, why, and how to perform a high-quality PLS estimation by following the latest standards suggested in prior methodological literature on PLS path modeling
Absorptive capacity and relationship learning mechanisms as complementary drivers of green innovation performance
This paper aims to explore in depth how internal and external knowledge-based drivers actually affect the firms\u2019 green innovation performance. Subsequently, this study analyzes the relationships between absorptive capacity (internal knowledge-based driver), relationship learning (external knowledge-based driver) and green innovation performance.
This study relies on a sample of 112 firms belonging to the Spanish automotive components manufacturing sector (ACMS) and uses partial least squares path modeling to test the hypotheses proposed.
The empirical results show that both absorptive capacity and relationship learning exert a significant positive effect on the dependent variable and that relationship learning moderates the link between absorptive capacity and green innovation performance.
This paper presents some limitations with respect to the particular sector (i.e. the ACMS) and geographical context (Spain). For this reason, researchers must be thoughtful while generalizing these results to distinct scenarios.
Managers should devote more time and resources to reinforce their absorptive capacity as an important strategic tool to generate new knowledge and hence foster green innovation performance in manufacturing industries.
The paper shows the importance of encouraging decision-makers to cultivate and rely on relationship learning mechanisms with their main stakeholders and to acquire the necessary information and knowledge that might be valuable in the maturity of green innovations.
This study proposes that relationship learning plays a moderating role in the relationship between absorptive capacity and green innovation performance
EDMS Use in Local E-Government: Extent of Use and Overall Performance Mediated by Routinization and Infusion
This study analyzes the effects of several post-adoption behaviors (extent of use, routinization and infusion) on overall performance in using an Electronic Document Management System (EDMS). Furthermore, we test whether the routinization and infusion variables mediate the influence of the extent of use on overall performance. This research collects data from a survey answered by 2,175 employees (EDMS users) of Portuguese municipalities. The Partial Least Squares technique is applied to test the model. The results showed that routinization is directly predicted by the extent of use, whereas infusion is directly affected by the extent of use and also by routinization. Consequently, such post-adoptive behaviors are interrelated not only in a sequential process, but also in parallel. In addition, overall performance is directly influenced by routinization and infusion. Finally, an indirect effects analysis shows that routinization and infusion mediate the relationship between extent of use and overall performance
Is Gastronomy A Relevant Factor for Sustainable Tourism? An Empirical Analysis of Spain Country Brand
Tourism has become a fundamental industry for the economic growth of many countries. Due to this, there is growing competitiveness among the different destinations to attract as many tourists as possible. As a result, disciplines such as marketing have developed tools to differentiate some destinations from others and concepts such as place branding and country brand have emerged. One of the key factors forming the country brand is gastronomy, as food tourism is one way to reduce
the growing problem of sustainability in tourism, as it impacts different aspects of the country’s environment. However, there is a great lack of scientific works that relate both variables. In this paper, we propose to establish that, in the case of Spain, tourists’ perception of Spanish gastronomy is a key element of its country brand. To do that, this study relies on the use of Partial Least Squares Structural Equations Modeling (PLS-SEM) using a 496 cases data set
How to determine the optimum weights?
Di̇rsehan, T., & Henseler, J. (2022). Modeling indices using partial least squares: How to determine the optimum weights? Quality & Quantity. https://doi.org/10.1007/s11135-022-01515-5. ---- Funding: Jörg Henseler gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through a research grant from the Information Management Research Center – MagIC/NOVA IMS (UIDB/04152/2020).Indices are often used to model theoretical concepts in economics and finance. Beyond the econometric models used to test the relationships between these variables, partial least squares path modeling (PLS-PM) allows the study of complex models, but it is an estimator that is still in its infancy in economics and finance research. Thus, the use of PLS-PM for composite analysis needs to be explored further. As one such attempt, this paper is focused on the determination of the indices’ optimum weights. For this purpose, the effects of the market potential index (MPI) on foreign direct investment (FDI) and gross domestic product (GDP) were analysed by implementing different weighting schemes. The assessment of the model shows that PLS Mode B leads to better model fit.publishersversionepub_ahead_of_prin
Partial least squares (PLS) in Operations Management research: Insights from a systematic literature review
[EN] Purpose: The present paper aims to analyze the Operations Management (OM) research between 2014 and 2018 that has made use of Partial Least Squares (PLS) to determine whether the trends shown in previous literature reviews focused on this topic are maintained and whether the analyzed papers comply with the recommendations for reporting
Design/methodology/approach: A systematic literature review has been carried out of OM articles that use PLS as an analysis tool. A total of 102 references from 45 journals from 2014 to 2018, published in WOS and Scopus, has been analyzed. Bibliometric analysis and a review of the PLS reporting standards applied in the context of OM have been developed.
Findings: PLS is gaining importance and is widely adopted in OM as a statistical analysis method of choice. In general, certain aspects of PLS are correctly applied and adequately reported in the publications. However, some shortcomings continue to be observed in terms of their application and the reporting of results. A detailed comparison has been developed between the current research and previous OM research (as well as previous research on other disciplines) on this topic.
Research limitations/implications: OM researchers making use of PLS should be aware of the importance of correctly reasoning and justifying their choice and fully reporting the main parameters in order to provide other researchers with useful information and enable them to reproduce the performed analysis.
Originality/value: This article builds a study with results based on a greater number of articles and journals than the two previous literature reviews focused on this topic. Therefore, it provides a richer and more up-to-date evaluation of trends in the use and reporting of PLS. Additionally, the present paper assesses whether the studies follow the indications suggested in recent years triggered by significant changes in the standards of reporting results obtained through the use of PLS.This study has been conducted within the frameworks of the following funded competitive projects: PID2019-105001GB-I00 (Ministerio de Ciencia e Innovacion, Spain); 1381039 (Programa Operativo Feder Andalucia 2014/2020, Junta de Andalucia) and PY20_01209 (PAIDI 2020, Junta de Andalucia).Bayonne, E.; Marin-Garcia, JA.; Alfalla-Luque, R. (2020). Partial least squares (PLS) in Operations Management research: Insights from a systematic literature review. Journal of Industrial Engineering and Management. 13(3):565-597. https://doi.org/10.3926/jiem.3416S56559713
Predictive Validity and Formative Measurement in Structural Equation Modeling: Embracing Practical Relevance
Composite-based methods like partial least squares (PLS) path modeling have an advantage over factor-based methods (like CB-SEM) because they yield determinate predictions, while factor-based methods’ prediction is constrained in this regard by factor indeterminacy. To maximize practical relevance, research findings should extend beyond the study’s own data. We explain how PLS practices, deriving, at least in part, from attempts to mimic factor-based methods, have hamstrung the potential of PLS. In particular, PLS research has focused on parameter recovery and overlooked predictive validity. We demonstrate some implications of considering predictive abilities as a complement to parameter recovery of PLS by reconsidering the institutionalized practice of mapping formative measurement to Mode B estimation of outer relations. Extensive simulations confirm that Mode A estimation performs better when sample size is moderate and indicators are collinear while Mode B estimation performs better when sample size is very large or true predictability (R²) is high
Influence of supervisor, self-efficacy, learning style and intention to transfer training effectiveness among universities in Saudi Arabia
The role of training for the improvement of employees' skills and knowledge has long been acknowledged. Employees who are exposed to effective training generally possess the technical knowledge, skills and attitudes to carry out their tasks. In Saudi Arabia, the
government has been investing generously in training so as to enhance the employees‘
knowledge and skills. However, the present human capital, particularly in the tertiary
institutions, falls way below expectations. The theoretical framework of this study was
developed based on past research and the underpinning theory of planned behavior and
social learning. This study examined the direct and indirect relationship between self-efficacy,
learning style and supervisor support on intention to transfer training and training
effectiveness among the managerial staff of the universities in Saudi Arabia. A total of
364 managerial staff representing six public universities in Saudi Arabia participated in the
study by completing the survey questionnaire. The Partial Least Squares (PLS-SEM) approach was utilized to test the hypotheses. The results for the direct relationships between the independent variables (self-efficacy, learning style, supervisor support) and the dependent variable (training effectiveness) show that only learning style directly influences training effectiveness. At the same time, it was found that all the independent
variables significantly influence the mediator, that is, intention to transfer training.
Regarding the indirect relations between the independent variables and the dependent
variable when the mediating variable was incorporated into the relationship, it was found
that intention to transfer training partially mediated the relationship between learning
style and training effectiveness but not self-efficacy and supervisor support. The
theoretical contributions, policy implications, limitations of the study and suggestions for
future research were discussed as well
Evaluation of the online presence of family firms: A comparative analysis between Ibero-America and the US
Digital marketing strategies are an intermediary between marketing channels and communication of information. With the emergence of web 2.0, corporate websites’ have become the epicentre of digital marketing strategies. This study aims to fill a gap in the family business literature related to online presence and their differences between regions. Using structural equation modeling (SEM), the websites of the largest Ibero-American and American family businesses in the world (which were included in the Family Business Global Index (FBGI)) were examined by evaluating their content, form and function, as well as their presence in social networks. A multigroup analysis was used to compare the results in Ibero-America and America. One of the main results is that there is a negative relationship between website quality and a company’s turnover and a positive relationship between social networks and a company’s turnover. Regarding multigroup analysis, there are no significant differences among the family firms of the two regions with respect to the online presence. This study has relevant practical implications because it highlights the importance of a global strategy of online presence since it influences the company’s turnover
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