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Article
Publication date: 18 May 2023

Tamara Schamberger

Structural equation modeling (SEM) is a well-established and frequently applied method in various disciplines. New methods in the context of SEM are being introduced in an ongoing…

Abstract

Purpose

Structural equation modeling (SEM) is a well-established and frequently applied method in various disciplines. New methods in the context of SEM are being introduced in an ongoing manner. Since formal proof of statistical properties is difficult or impossible, new methods are frequently justified using Monte Carlo simulations. For SEM with covariance-based estimators, several tools are available to perform Monte Carlo simulations. Moreover, several guidelines on how to conduct a Monte Carlo simulation for SEM with these tools have been introduced. In contrast, software to estimate structural equation models with variance-based estimators such as partial least squares path modeling (PLS-PM) is limited.

Design/methodology/approach

As a remedy, the R package cSEM which allows researchers to estimate structural equation models and to perform Monte Carlo simulations for SEM with variance-based estimators has been introduced. This manuscript provides guidelines on how to conduct a Monte Carlo simulation for SEM with variance-based estimators using the R packages cSEM and cSEM.DGP.

Findings

The author introduces and recommends a six-step procedure to be followed in conducting each Monte Carlo simulation.

Originality/value

For each of the steps, common design patterns are given. Moreover, these guidelines are illustrated by an example Monte Carlo simulation with ready-to-use R code showing that PLS-PM needs the constructs to be embedded in a nomological net to yield valuable results.

Details

Industrial Management & Data Systems, vol. 123 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

Book part
Publication date: 25 January 2023

Ahmet Usakli and S. Mostafa Rasoolimanesh

In recent years, the use of structural equation modeling (SEM) has become widespread in tourism and hospitality research. Because there are two different approaches to SEM (i.e.…

Abstract

In recent years, the use of structural equation modeling (SEM) has become widespread in tourism and hospitality research. Because there are two different approaches to SEM (i.e., covariance-based SEM and variance-based, partial least squares SEM), this brings challenges for researchers about which SEM to use and what to report in each SEM approach. Therefore, the purpose of this chapter is to discuss the differences between CB-SEM and PLS-SEM and to provide comprehensive guidelines for researchers on how to apply each SEM. Within this context, the authors first briefly summarize the fundamentals and advantages of using SEM. Then, the authors explain in detail the major issues that should be considered when selecting between CB-SEM and PLS-SEM. Finally, to ensure rigorous research practices, the authors provide step-by-step guidelines for the application of both CB-SEM and PLS-SEM.

Details

Cutting Edge Research Methods in Hospitality and Tourism
Type: Book
ISBN: 978-1-80455-064-9

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 July 2022

Chiranjit Das

This study aims to analyze the relationships between knowledge management and co-evolvement to green product and process design and green manufacturing and logistics. Besides…

Abstract

Purpose

This study aims to analyze the relationships between knowledge management and co-evolvement to green product and process design and green manufacturing and logistics. Besides, this study also analyses the direct and indirect effects of corporate environmental strategy, knowledge management and co-evolvement.

Design/methodology/approach

The data used in this study were collected by a survey of Indian manufacturing firms and analyzed by a variance-based structural equation modeling technique to test the hypotheses.

Findings

The results suggested that knowledge management and co-evolvement have significant positive relationships to green product and process design and green manufacturing and logistics. Likewise, corporate environmental strategy has positive effects on knowledge management and co-evolvement.

Practical implications

Manufacturing firms should invest and deploy corporate environmental strategies to develop knowledge management and co-evolvement capability that foster green product and process design and manufacturing and logistics.

Originality/value

This study investigates the role of knowledge management and co-evolvement to improve green product and process design and green manufacturing and logistics. The uniqueness of this study is that it investigates novel direct and indirect relationships between corporate environmental strategy and knowledge management and co-evolvement.

Details

European Business Review, vol. 34 no. 6
Type: Research Article
ISSN: 0955-534X

Keywords

Open Access
Article
Publication date: 27 July 2023

Andrea Kő, Gábor Tarján and Ariel Mitev

This paper aims to provide a maturity model for information security awareness (MMISA), based on the literature, expert interviews and feedback. In addition to developing the…

764

Abstract

Purpose

This paper aims to provide a maturity model for information security awareness (MMISA), based on the literature, expert interviews and feedback. In addition to developing the MMISA, the authors investigate the role of the three decisive factors that affect ISA maturity level: risk management mechanism, organizational structure and ISA.

Design/methodology/approach

The research methodology is a combined one; qualitative and quantitative methods were applied, including surveying the literature, interviews and developing a survey to collect quantitative data about decisive factors that affect ISA maturity level. The authors perform a variance-based partial least squares-structural equation modeling (PLS-SEM) investigation of the relationships between these factors.

Findings

The investigation of decisive factors of ISA maturity levels revealed that if the authors identify a strong risk assessment mechanism (through a documented methodology and reliable results), the authors can expect a high level of ISA. If there is a well-defined organizational structure with clear responsibilities, this supports the linking of a risk management mechanism with the level of ISA. The connection between organizational structure and ISA maturity level is supported by ISA activities: an increased level of awareness actions strengthens an organizational structure via the best practices learned by the staff.

Originality/value

The main contribution of the proposed MMISA model is that the model offers controls and audit evidence for maturity levels. Beyond that, the authors distinguish in the MMISA model controls supporting knowledge and controls supporting attitude, emphasizing that this is not enough to know what to do, but the proper attitude is required too. The authors didn't find any other ISA maturity model which has a similar feature. The contribution of the authors' work is that the authors provide a method for solving this complex measurement problem via the MMISA, which also offers direct guidance for the daily practices of organizations.

Details

Information Technology & People, vol. 36 no. 8
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 28 May 2021

Mohammad Jamal Albana and Mehmet Yeşiltaş

Drawing on the theory of belongingness, this study scrutinizes the impact of linguistic ostracism on knowledge sharing, knowledge hiding and knowledge hoarding and the moderating…

Abstract

Purpose

Drawing on the theory of belongingness, this study scrutinizes the impact of linguistic ostracism on knowledge sharing, knowledge hiding and knowledge hoarding and the moderating role of cultural intelligence (CQ) in a diverse and multi-cultural work setting.

Design/methodology/approach

A two-phase sampling of judgmental and random sampling techniques was used to recruit local and foreign workers in the Jordanian service industry. The present study empirically analyzes the sample of 394 employees' responses by applying variance-based structural equation modeling (VB-SEM).

Findings

VB-SEM results indicate that linguistic ostracism lessens knowledge sharing behavior and heightens knowledge hiding and hoarding. CQ moderates two of the said associations, specifically by buffering the causal link between linguistic ostracism and knowledge hiding, as well as linguistic ostracism and knowledge hoarding. Consequently, CQ did not moderate the causal link between linguistic ostracism and knowledge sharing.

Practical implications

The study's findings can help managers and decision-makers in such workplaces better understand the deleterious effects of linguistic ostracism and how CQ functions as a buffer. The study concludes with theoretical and managerial implications.

Originality/value

Very few investigations have been conducted to determine the consequences of linguistic ostracism in today's multi-cultural and diverse work environment. This paper is among the first to unveil the association of linguistic ostracism and CQ with various knowledge management (KM) concepts.

Details

Kybernetes, vol. 51 no. 3
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 16 November 2022

Adamu Abbas Adamu, Syed Hassan Raza and Bahtiar Mohamad

Internal crisis communication (ICC) has become a burgeoning area of research in crisis communication. However, the importance of ICC as a tool to enhance employee positive…

Abstract

Purpose

Internal crisis communication (ICC) has become a burgeoning area of research in crisis communication. However, the importance of ICC as a tool to enhance employee positive communicative behaviour in crisis has not been explored. This study aims to develop a research model by drawing from the ideas of sensemaking and network theories. In addition, the study further examines how the elements of the proposed model drive ICC while assessing employee-related outcomes and the role of emotion exhaustion.

Design/methodology/approach

To assess the validity of the measurement and structural models, 316 employees from both public and private non-profit organisations in Pakistan were interviewed through online survey. The collected data were analysed using co-variance based structural equation modelling (CV-SEM).

Findings

The results of this research confirmed that mindfulness and internal listening positively affect employee perceptions towards internal communication during a crisis. Similarly, ICC positively influences employees' perception of loyalty, job insecurity and the organisation's reputation. The results also highlight the moderation roles of emotional exhaustion (EE).

Practical implications

The study suggests that applying ICC strategies will help crisis managers develop collaborative relationships with employees, which will help in identifying and managing a crisis. In addition, implementing effective internal communication in corporate practices and processes makes internal reputation and employee loyalty (EL) a reality and allows organisations to remain productive despite crises.

Originality/value

Through the lens of sensemaking theory, this research demonstrated that mindfulness and listening should be considered stimuli in organisations that can influence employees to be active communicators before and during crises. This study is the first to elucidate the essential outcomes for strategic internal crisis management that are often under-looked, such as emotional responses. The study also shows that sensemaking should not only focus on meaning-making in a crisis but also include emotional feelings that can wear out the meaning-making process.

Details

Corporate Communications: An International Journal, vol. 28 no. 1
Type: Research Article
ISSN: 1356-3289

Keywords

Book part
Publication date: 13 August 2012

Mehmet Mehmetoglu

Tourism research contains a large share of consumer behavior-orientated studies using multidimensional constructs (exogenous/endogenous). Accordingly, scholars have mainly made…

Abstract

Tourism research contains a large share of consumer behavior-orientated studies using multidimensional constructs (exogenous/endogenous). Accordingly, scholars have mainly made use of a two-step approach that can be referred to as PCA-MLR (principal component analysis and then ordinary least squares multiple linear regression analysis) to examine the relationships among exogenous and endogenous constructs in a statistical model. Although this two-step approach has contributed to the advancement of tourism research, it still suffers from a number of drawbacks which can readily be overcome by a so-called second-generation statistical tool, namely, partial least squares approach to structural equation modeling (PLS-SEM). The current chapter explains and illustrates (with an application to tourism data) the advantages (e.g., several layers of estimations, suiting small sample sizes, robustness to multicollinearity, model-based clustering, etc.) of PLS-SEM both from a statistical and practical point of view. Finally, an elucidation is also provided for suggesting PLS-SEM as an alternative to PCA-MLR instead of COV-SEM (covariance-based structural equation modeling). The chapter concludes by proposing that PLS-SEM is a reliable and flexible statistical approach that is of high value, in particular, for applied research.

Details

Advances in Hospitality and Leisure
Type: Book
ISBN: 978-1-78052-936-3

Keywords

Article
Publication date: 20 February 2019

Chiranjit Das and Sanjay Jharkharia

The purpose of this paper is to empirically examine the relationships between low carbon supply chain practices and their relationships with environmental sustainability (ES) and…

1013

Abstract

Purpose

The purpose of this paper is to empirically examine the relationships between low carbon supply chain practices and their relationships with environmental sustainability (ES) and the economic performances (EP) of firms. The study also includes an examination of the low carbon supply chain practices that are utilized by Indian manufacturing firms.

Design/methodology/approach

Through a questionnaire-based survey, the data received from 83 Indian manufacturing firms was analyzed using a variance-based structural equation modeling technique to test the proposed hypotheses.

Findings

The study indicates that carbon governance is a strategic imperative for the adoption of low carbon supply chain practices. Similarly, low carbon product and process design (LCPPD), manufacturing and logistics lead to improved ES. In addition, low carbon purchasing is positively related to the adoption of LCPPD, manufacturing and logistics. No significant relationship was found between the adoption of low carbon supply chain practices and the EP of a firm.

Practical implications

The findings of this study may assist manufacturing managers in prioritizing operational practices for the reduction of emissions.

Originality/value

This study provides two major contributions to green supply chain management. First, it provides comprehensive empirical evidence on low carbon supply chain practices that are being followed by Indian manufacturing firms. Second, this study also empirically validated a structural model of low carbon supply chain practices.

Details

South Asian Journal of Business Studies, vol. 8 no. 1
Type: Research Article
ISSN: 2398-628X

Keywords

Article
Publication date: 6 May 2022

Julio César Acosta-Prado, Oscar Hernán López-Montoya and Arnold Alejandro Tafur-Mendoza

This study aims to examine the relationship between training and development (TD) of human talent and innovative performance (IP) while considering the mediating role of knowledge…

Abstract

Purpose

This study aims to examine the relationship between training and development (TD) of human talent and innovative performance (IP) while considering the mediating role of knowledge generation (KG).

Design/methodology/approach

An explanatory design with latent variables was used, represented through a system of structural equations made up of observable and latent variables. The study had a sample of 1,572 companies belonging to the Colombian manufacturing industrial sector between 2017 and 2018. The instrument used in this research was the survey on technological development and innovation in the manufacturing industry EDIT IX. The statistical approach for estimating the parameters of the structural equation model (SEM) was the variance-based or PLS-SEM approach.

Findings

The results link the existing theory on the relationship between TD of human talent and IP with the empirical evidence in Colombian manufacturing companies. In addition, the research highlights the role of KG in the relationship presented, which leads to the conclusion that it is an essential factor for any organization today.

Originality/value

The findings obtained are practical use for the various agents involved in the management of manufacturing companies. At present, it is not only important for companies to generate good economic returns. It is necessary to focus on IP, which will favor the economic and non-economic firm performance, which involves the improvement in the quality of the products and services offered.

Details

VINE Journal of Information and Knowledge Management Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2059-5891

Keywords

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