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Article
Publication date: 5 October 2016

Christian Nitzl

In management accounting research, the capabilities of Partial Least Squares Structural Equation Modelling (PLS-SEM) have only partially been utilized. These yet unexploited…

1161

Abstract

In management accounting research, the capabilities of Partial Least Squares Structural Equation Modelling (PLS-SEM) have only partially been utilized. These yet unexploited capabilities of PLS-SEM are a useful tool in the often explorative state of research in management accounting. After reviewing eleven top-ranked management accounting journals through the end of 2013, 37 articles in which PLS-SEM is used are identified. These articles are analysed based on multiple relevant criteria to determine the progress in this research area, including the reasons for using PLS-SEM, the characteristics of the data and the models, and model evaluation and reporting. A special focus is placed on the degree of importance of these analysed criteria for the future development of management accounting research. To ensure continued theoretical development in management accounting, this article also offers recommendations to avoid common pitfalls and provides guidance for the advanced use of PLS-SEM in management accounting research.

Details

Journal of Accounting Literature, vol. 37 no. 1
Type: Research Article
ISSN: 0737-4607

Keywords

Article
Publication date: 21 September 2012

Sylvie Berthelot, Claude Francoeur and Réal Labelle

The purpose of this paper is to investigate the relationship between corporate governance practices or mechanisms and firm value, as measured by accounting and market data.

2022

Abstract

Purpose

The purpose of this paper is to investigate the relationship between corporate governance practices or mechanisms and firm value, as measured by accounting and market data.

Design/methodology/approach

Partial least square analyses were performed on a sample of 355 observations from 199 Canadian listed companies. The greater variability allowed under the Canadian principles‐based institutional setting than under the rules‐based USA SOX environment is well‐suited for these tests.

Findings

Results suggest that some governance practices, namely the percentage of independent directors on the board, the use of stock options and the frequency of board meetings are significantly and negatively related to the firm's net book value or income. However, most individual governance practices appear to have no significant impact on the firms’ market value.

Research limitations/implications

The potential interrelationships between corporate governance practices and contextual variables are not specifically taken into account, except for the firms’ industrial sector. It is also possible that certain governance mechanisms jointly impact firm value.

Practical implications

This study does not support the current emphasis by regulators on governance practices which mainly concern the monitoring function of the board as opposed to its strategic one.

Originality/value

The paper uses Canada as a laboratory where companies are “invited” rather than “required” to follow corporate governance best practices. This greater corporate discretion in the choice of governance practices provides the variability necessary to test the effect of governance on firm value. Furthermore, in the interest of triangulation, a model seldom seen in the governance literature is used to examine the impact of governance mechanisms on firm value and performance, as measured by accounting and market data.

Open Access
Article
Publication date: 27 March 2023

Mikko Rönkkö, Nick Lee, Joerg Evermann, Cameron McIntosh and John Antonakis

Over the past 20 years, partial least squares (PLS) has become a popular method in marketing research. At the same time, several methodological studies have demonstrated problems…

2335

Abstract

Purpose

Over the past 20 years, partial least squares (PLS) has become a popular method in marketing research. At the same time, several methodological studies have demonstrated problems with the technique but have had little impact on its use in marketing research practice. This study aims to present some of these criticisms in a reader-friendly way for non-methodologists.

Design/methodology/approach

Key critiques of PLS are summarized and demonstrated using existing data sets in easily replicated ways. Recommendations are made for assessing whether PLS is a useful method for a given research problem.

Findings

PLS is fundamentally just a way of constructing scale scores for regression. PLS provides no clear benefits for marketing researchers and has disadvantages that are features of the original design and cannot be solved within the PLS framework itself. Unweighted sums of item scores provide a more robust way of creating scale scores.

Research limitations/implications

The findings strongly suggest that researchers abandon the use of PLS in typical marketing studies.

Practical implications

This paper provides concrete examples and techniques to practicing marketing and social science researchers regarding how to incorporate composites into their work, and how to make decisions regarding such.

Originality/value

This work presents a novel perspective on PLS critiques by showing how researchers can use their own data to assess whether PLS (or another composite method) can provide any advantage over simple sum scores. A composite equivalence index is introduced for this purpose.

Details

European Journal of Marketing, vol. 57 no. 6
Type: Research Article
ISSN: 0309-0566

Keywords

Article
Publication date: 9 October 2018

Ahmet Usakli and Kemal Gurkan Kucukergin

The 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…

2992

Abstract

Purpose

The 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/approach

A 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.

Findings

The 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 implications

To enhance the quality of research in hospitality and tourism, the present study provides recommendations for improving the future use of PLS-SEM.

Originality/value

The 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).

Details

International Journal of Contemporary Hospitality Management, vol. 30 no. 11
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 20 May 2020

George Okello Candiya Bongomin and Joseph Mpeera Ntayi

Drawing from the argument that mobile money services have a significant potential to provide a wide range of affordable, convenient and secure financial services, there have been…

2409

Abstract

Purpose

Drawing from the argument that mobile money services have a significant potential to provide a wide range of affordable, convenient and secure financial services, there have been rampant frauds on consumers of financial products over the digital financial platform. Thus, this study aims to establish the mediating effect of digital consumer protection in the relationship between mobile money adoption and usage and financial inclusion with data collected from micro small and medium enterprises (MSMEs) in northern Uganda.

Design/methodology/approach

To achieve the main objective of this study, a research model was developed to test for the mediating effect of digital consumer protection in the relationship between mobile money adoption and usage and financial inclusion. The data were collected from MSMEs and structural equation modelling in partial least square (PLS) combined with bootstrap was applied to analyze and test the hypotheses of this study. The direct and indirect effect of mobile money adoption and usage on financial inclusion was tested through digital consumer protection as a mediator variable.

Findings

The findings from the PLS-structural equation modelling (SEM) showed that mobile money adoption and usage has both direct and indirect effect on financial inclusion. Moreover, financial inclusion is influenced by both mobile money adoption and usage and digital consumer protection.

Research limitations/implications

The study used partial least square (PLS-SEM) combined with bootstrap confidence intervals through a formative approach to establish the mediating effect of the mediator variable. Hence, it ignored the use of covariance-based SEM and the MedGraph programme. Furthermore, data were collected from samples located in Gulu district, northern Uganda and specifically from MSMEs. This limits generalization of the study findings to other population who also use mobile money services.

Practical implications

Promoters of digital financial services, managers of telecommunication companies, and financial inclusion advocates should consider strengthening the existing digital consumer protection laws on the mobile money platform. A collaborative approach between the mobile network operators, financial institutions and regulators should tighten the existing laws against mobile money fraudsters and an efficient mechanism for recourse, compensation and remedy should be set up to benefit the victims of frauds and cybercrime on the Fintech ecosystem.

Originality/value

The current study gives a useful insight into the critical mediating role of digital consumer protection as a cushion for promoting financial inclusion through mobile phones over the Fintech that face great threat and risk from cyber insecurity.

Details

Digital Policy, Regulation and Governance, vol. 22 no. 3
Type: Research Article
ISSN: 2398-5038

Keywords

Article
Publication date: 9 June 2020

Haritha P.H. and Rashmi Uchil

The purpose of this paper is to determine whether individual investor sentiment and its factors influence investment decision-making behavior in the Indian stock market. The study…

1603

Abstract

Purpose

The purpose of this paper is to determine whether individual investor sentiment and its factors influence investment decision-making behavior in the Indian stock market. The study contributes to the novel conceptual framework that integrates the impact of investor sentiment and outlines the role of its factors (herding, media factor, advocate recommendation and social interaction) during the investment decision-making process.

Design/methodology/approach

In this paper, data were collected using a structured questionnaire survey from Indian individual investors. It uses self-reported sources of information collected via a survey of individual investors and estimated the linkage via path modeling. The collected data were analyzed using partial least square structural equation modeling to examine the relationship between the construct, namely, herding, media, advocate recommendation and social interaction with investor sentiment and investment decision-making.

Findings

The study shows that herding, media factor, advocate recommendation and social interaction significantly and positively influence the investor sentiment. Among all the factors, social interaction has the lowest influence on investor sentiment. The study also reveals that investor sentiment has a positive impact on investment decision-making.

Practical implications

The study provides valuable insights for the individual investors, financial advisors, policymakers and other stakeholders. Knowledge of behavioral finance would enhance the decision-making capabilities of individual investors in the stock market. Thus, the study calls for the need to increase awareness among Indian investors about behavioral finance and its usefulness in investment decision-making. The paper also sheds light upon the influence of investor sentiment and its antecedents on investment decision-making. The study confirms that the investor relies on their sentiment while making investment decisions. Hence, the stakeholders in the stock market should focus on investor sentiment and other psychological aspects of individual investors as well.

Originality/value

There are very few studies that deal with the behavioral aspects of individual investors in an emerging market context. The study mainly focuses on the antecedent of investor sentiment and its influence on investment decision-making in the Indian stock market. To the best of authors’ knowledge, the present study unique nature that examines the impact of the antecedent of investor sentiment which was not explored in the Indian context and investment decision-making of individual investors.

Details

Management Research Review, vol. 43 no. 11
Type: Research Article
ISSN: 2040-8269

Keywords

Article
Publication date: 8 January 2018

Faizan Ali, Woo Gon Kim, Jun (Justin) Li and Cihan Cobanoglu

Structural equation modelling (SEM) has increasingly been used by hospitality and tourism researchers to examine complex relationships. This paper aims to highlight the benefits…

2049

Abstract

Purpose

Structural equation modelling (SEM) has increasingly been used by hospitality and tourism researchers to examine complex relationships. This paper aims to highlight the benefits and limitations of SEM for hospitality and tourism research and compare its two main approaches, i.e. covariance-based SEM (CB-SEM) and partial least squares-SEM (PLS-SEM).

Design/methodology/approach

By using a comparative approach, this study parallels SEM’s two main approaches, i.e. CB-SEM and PLS-SEM, using three different examples from hospitality and tourism industry. Both the approaches are compared side by side in terms of assumptions, validity and reliability of measurement models, item retention and loadings, strength and significance of path relationships and coefficient of determinations.

Findings

The findings show that even though both methods analyse measurement theory and structural path models, there are relatively higher advantages for hospitality and tourism researchers in applying PLS-SEM.

Research limitations/implications

Because of the limitations of only using three examples, the results and trends generated in this study may not be generalized to all research in hospitality and tourism discipline. Moreover, the Likert scale has been used to measure the constructs in both the studies, which may have biased the results.

Originality value

This study is the first to compare the usage of both the SEM approaches in hospitality and tourism research. The findings of this study provide significant implications and directions for hospitality and tourism researchers to apply PLS-SEM in the future.

Details

International Journal of Contemporary Hospitality Management, vol. 30 no. 1
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 8 July 2020

Emmanuel Adinyira, Patrick Manu, Kofi Agyekum, Abdul-Majeed Mahamadu and Paul Olaniyi Olomolaiye

Work on construction sites involves individuals with diverse character, temperament,age, physical strength, culture, religion and experience level. A good number of these…

Abstract

Purpose

Work on construction sites involves individuals with diverse character, temperament,age, physical strength, culture, religion and experience level. A good number of these individuals are also alleged to involve themselves in substance and alcohol abuse due to the physically demanding nature of their work. These could promote the prevalence of violence on construction sites which could in turn affect safety on construction sites. However, there is a lack of empirical insight into the effect of violent behaviour and unsafe behaviour on construction sites. This study therefore pioneers an empirical inquiry into the relationship between violent behaviour and unsafe behaviour on construction sites.

Design/methodology/approach

Seventeen violent behaviours and 15 unsafe behaviours were measured on 12 construction sites among 305 respondents using a structured questionnaire. A total of 207 valid questionnaire responses were collected from site workers. Partial least square–structural equation modelling (PLS-SEM) technique was used to examine the relationship between violent behaviour and unsafe behaviour.

Findings

The results indicate that there is a significant positive relationship between violent behaviour and unsafe behaviour on construction sites.

Originality/value

The findings from this study provide valuable insight into a less investigated dimension of the problem of construction site safety management. A focus on attitudinal issues such as how workers relate toward others and toward self should be an important consideration in safety improvement interventions on construction sites.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 10
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 14 November 2022

Himanshu Joshi and Deepak Chawla

The purpose of this study is to segment mobile wallet users using a finite mixture partial least squares (FIMIX-PLS) approach and evaluate the unobserved heterogeneity across…

Abstract

Purpose

The purpose of this study is to segment mobile wallet users using a finite mixture partial least squares (FIMIX-PLS) approach and evaluate the unobserved heterogeneity across segments.

Design/methodology/approach

Partial least square structural equation modeling (PLS-SEM) using a convenience sample of 744 responses was used to analyze the measurement, structural model and hypotheses testing. To examine unobserved heterogeneity and identify user segments, FIMIX-PLS technique was employed. To generate more precise recommendations, importance-performance map analysis (IPMA) was performed with attitude as the target variable.

Findings

A structural equation model revealed that except perceived ease of use (PEOU) all other dimensions, namely perceived usefulness (PU), lifestyle compatibility (LC), facilitating conditions (FC), trust and security significantly influences attitude which, in turn, determines intention. The FIMIX-PLS technique resulted in four segments – The Rationalist, Early Adopters, Late Adopters and The Innovators.

Practical implications

The paper provides segment specific and between segment differences to derive implications. Identification of relevant predictors and segments will help academicians, marketing researchers and practitioners in gaining further understanding of the mobile wallet adoption. The findings of the paper can guide mobile wallet providers to frame appropriate strategies and offerings pertaining to the obtained segments.

Originality/value

The paper builds upon Technology Acceptance Model (TAM) to propose an integrated model to explain adoption behaviors associated with mobile wallet. To the best of the authors' knowledge, this is one of the first empirical attempts using FIMIX-PLS technique to assess precursors of adoption and substantiates the perceived value-attitude-intention linkage to identify heterogeneity among mobile wallet users.

Details

International Journal of Bank Marketing, vol. 41 no. 1
Type: Research Article
ISSN: 0265-2323

Keywords

Open Access
Article
Publication date: 13 April 2022

Florian Schuberth, Manuel E. Rademaker and Jörg Henseler

This study aims to examine the role of an overall model fit assessment in the context of partial least squares path modeling (PLS-PM). In doing so, it will explain when it is…

5665

Abstract

Purpose

This study aims to examine the role of an overall model fit assessment in the context of partial least squares path modeling (PLS-PM). In doing so, it will explain when it is important to assess the overall model fit and provides ways of assessing the fit of composite models. Moreover, it will resolve major concerns about model fit assessment that have been raised in the literature on PLS-PM.

Design/methodology/approach

This paper explains when and how to assess the fit of PLS path models. Furthermore, it discusses the concerns raised in the PLS-PM literature about the overall model fit assessment and provides concise guidelines on assessing the overall fit of composite models.

Findings

This study explains that the model fit assessment is as important for composite models as it is for common factor models. To assess the overall fit of composite models, researchers can use a statistical test and several fit indices known through structural equation modeling (SEM) with latent variables.

Research limitations/implications

Researchers who use PLS-PM to assess composite models that aim to understand the mechanism of an underlying population and draw statistical inferences should take the concept of the overall model fit seriously.

Practical implications

To facilitate the overall fit assessment of composite models, this study presents a two-step procedure adopted from the literature on SEM with latent variables.

Originality/value

This paper clarifies that the necessity to assess model fit is not a question of which estimator will be used (PLS-PM, maximum likelihood, etc). but of the purpose of statistical modeling. Whereas, the model fit assessment is paramount in explanatory modeling, it is not imperative in predictive modeling.

Details

European Journal of Marketing, vol. 57 no. 6
Type: Research Article
ISSN: 0309-0566

Keywords

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