scholarly journals PAY SATISFACTION AND ORGANISATIONAL TRUST: AN IMPORTANCE-PERFORMANCE MAP ANALYSIS

2020 ◽  
Vol 4 (1) ◽  
pp. 1-16
Author(s):  
Gabriel C. W. Gim ◽  
Wen-Sing Cheah
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Unobserved Heterogeneity ◽  
Equation Modeling ◽  
Pay Satisfaction ◽  
Model Assessment ◽  
Four Dimensions ◽  
Performance Map ◽  
Map Analysis ◽  
Organisational Trust

Using social exchange theory and equity theory, this paper examined the relationship between the four dimensions of pay satisfaction and organisational trust among Malaysian employees. The four dimensions of pay satisfaction are pay benefit satisfaction, pay level satisfaction, pay raise satisfaction,and pay structure and administration satisfaction. Questionnaires were distributed to Malaysians working in several industries. Partial least squares structural equation modeling (PLS-SEM) was used to assess both the measurement and structural model. Results from the structural model revealed that pay benefit satisfaction, pay raise satisfaction, and pay structure and administration satisfaction were positively related to organisational trust. To complement the standard structural model assessment, robustness checks were performed on the structural model in terms of non-linear effects, endogeneity, and unobserved heterogeneity. The checks concluded that there were no issues with regards to nonlinear effects and unobserved heterogeneity. However, the endogeneity test indicated that pay structure and administration satisfaction could be endogenous. Importance-performance map analysis (IPMA) was also performed to gauge the importance and performance of each dimension of pay satisfaction against organisational trust. The IPMA results revealed that pay structure and administration satisfaction was the most important factor yet it attained the lowest score on performance indicating that organisations in Malaysia should make an improvement to their pay structure and administration satisfaction.

Identifying and treating unobserved heterogeneity with FIMIX-PLS

2016 ◽  
Vol 28 (2) ◽  
pp. 208-224 ◽  
Author(s):  
Lucy M. Matthews ◽  
Marko Sarstedt ◽  
Joseph F. Hair ◽  
Christian M. Ringle
Keyword(s):  
Structural Equation ◽  
Latent Class ◽  
Structural Model ◽  
Unobserved Heterogeneity ◽  
Equation Modeling ◽  
Content Type ◽  
Measurement Models ◽  
European Business ◽  
Number Of Segments

Purpose Part I of this article (European Business Review, Volume 28, Issue 1) offered an overview of unobserved heterogeneity in the context of partial least squares structural equation modeling (PLS-SEM), its prevalence and challenges for social sciences researchers. This paper aims to provide an example that explains how to identify and treat unobserved heterogeneity in PLS-SEM by using the finite mixture PLS (FIMIX-PLS) module in the SmartPLS 3 software (Part II). Design/methodology/approach This case study illustrates the application of FIMIX-PLS using a popular corporate reputation model. Findings The case study demonstrates the capability of FIMIX-PLS to identify whether unobserved heterogeneity significantly affects structural model relationships. Furthermore, it shows that FIMIX-PLS is particularly useful for determining the number of segments to extract from the data. Research limitations/implications Since the introduction of FIMIX-PLS, a range of alternative latent class techniques has appeared. These techniques address some of the limitations of the approach relating to, for example, its failure to handle heterogeneity in measurement models, or its distributional assumptions. This research discusses alternative latent class techniques and calls for the joint use of FIMIX-PLS and PLS prediction-oriented segmentation. Originality/value This article is the first to offer researchers, who have not been exposed to the method, an introduction to FIMIX-PLS. Based on a state-of-the-art review of the technique, the paper offers a step-by-step tutorial on how to use FIMIX-PLS by using the SmartPLS 3 software.

scholarly journals Development and testing of an explorative BPM acceptance model: Insights from the COVID-19 pandemic

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259226
Author(s):  
Tahir Ahmad ◽  
Amy Van Looy
Keyword(s):  
Business Process ◽  
Structural Equation ◽  
Quantitative Research ◽  
Business Process Management ◽  
Process Management ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Model Assessment ◽  
Acceptance Model

When emerging technologies transform an organization’s way of working, explorative business process management (BPM) becomes a new challenge. Although digital innovations can boost process efficacy and business productivity, employees do not necessarily accept the implied work changes. We therefore looked at the increased digitalization efforts during the COVID-19 lockdowns, during which employees were forced to drastically rethink work by heavily depending on technology for communication and almost all business tasks. This global setting allowed us to scrutinize disruptive work changes and how employees can cope with disruptive work adaptations. We also looked into the explorative skillset needed to adapt to these changes. To theorize about an explorative BPM acceptance model, eleven hypotheses were supported based on a solid theoretical foundation. We followed a quantitative research design using partial least squares for structural equation modeling (PLS-SEM) at the university administration settings in two regions, including purposive sampling. Data analysis covered both a measurement model assessment and structural model assessment. Our findings reveal that employees’ perceived work modalities, feeling creative and feeling flexible are more promising features than perceived influence and attitude related to explorative work and skill development. We also offer novel insights into explorative business process management (BPM) skills, and which skills are more productive in uncertain or dynamic working conditions. This research is a learning path for managers struggling with flexible or competitive business environments, and more specifically to facilitate employee willingness.

An Innovative Application of Composite-Based Structural Equation Modeling in Hospitality Research With Empirical Example

2020 ◽  
pp. 193896552095175
Author(s):  
Noppadol Manosuthi ◽  
Jin-Soo Lee ◽  
Heesup Han
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Simulation Studies ◽  
Path Modeling ◽  
Parameter Recovery ◽  
Performance Map ◽  
Map Analysis ◽  
Oriented Approach

Partial least squares path modeling (PLS-PM) and generalized structured component analysis (GSCA) are two key estimators derived from a full-fledged composite-based structural equation modeling (SEM). The analyses of PLS-PM and GSCA have been recently extended to mimic factor-based SEM, and the extended approaches are called PLSC and GSCAM, respectively. Simulation studies have confirmed that the relative performance of PLS-PM is comparable with that of GSCA. Similarly, GSCAM, PLSC, and the traditional factor-based SEM perform equally well in parameter recovery. Although composite-based SEM perfectly fits into the current research landscape that focuses on a prediction-oriented approach, empirical research in the hospitality context that uses PLS-PM, GSCA, PLSC, and GSCAM estimators is extremely rare. To encourage hospitality researchers to adopt these methodologies, we demonstrate an illustrative example using PLS-PM, GSCA, PLSC, and GSCAM based on the confirmatory composite analysis (CCA) procedure. Measurement and structural invariances, applications of model fit, PLSpredict, and importance-performance map analysis are incorporated into our example. Finally, practical management in the hospitality field based on this methodology is discussed.

scholarly journals Alliance entrepreneurship and entrepreneurial orientation: the mediating effect of knowledge transfer

2016 ◽  
Vol 18 (3) ◽  
pp. 263 ◽  
Author(s):  
Arash Rezazadeh ◽  
Mahsa Mahjoub
Keyword(s):  
Knowledge Transfer ◽  
Entrepreneurial Orientation ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Business Environment ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Model Assessment ◽  
Alliance Partners

Today’s rapidly changing business environment has impelled companies to cooperate with their competitors gaining more competitive advantages by achieving win-win situation. Thereby, building alliances as one of the cooperative strategies has been adopted by many enterprises, consequently attracting great attention of numerous scholars. Nevertheless, the alliance literature seems to lack studies in the domain of entrepreneurship. Accordingly, this paper aims to extend entrepreneurship into the field of alliances highlighting two phenomenal concepts: alliance entrepreneurship and entrepreneurial orientation. Hence, the relationship between these two constructs together with the mediating role of knowledge transfer between alliance partners are investigated. We used Structural Equation Modeling with Partial Least Squares (PLS-SEM) technique under two sections of measurement model and structural model assessment in order to analyze data. The results gathered from Iran’s automotive industry confirmed the positive significant impact of alliance entrepreneurship on partners’ entrepreneurial orientation and the mediating effect of knowledge transfer

scholarly journals Fatores críticos de sucesso na gestão de projetos: Análise dos indicadores que constituem os predecessores da estratégia, pessoas e operações

2018 ◽  
Vol 9 (3) ◽  
Author(s):  
Ronielton Rezende Oliveira ◽  
José Elenilson Cruz ◽  
Roniton Rezende Oliveira
Keyword(s):  
Structural Equation Modeling ◽  
Project Management ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Equation Modeling ◽  
Project Management Office ◽  
Performance Map ◽  
Recursos Humanos ◽  
Map Analysis

Fatores Críticos de Sucesso (FCS) representam práticas que, quando bem executadas, contribuem para aumentar as probabilidades de êxito de qualquer atividade. Na gestão de projetos podem ser utilizados para acompanhamento dos projetos, tomada de decisão e avaliação de desempenho. O estudo de abordagem quantitativa e natureza descritiva, através de survey aplicada em 115 profissionais envolvidos na gestão de projetos, identifica, dentre os indicadores utilizados para mensurar os construtos estratégia, pessoas e operações, aqueles FCS que são mais importantes para explicar o desempenho do Project Management Office, para, então, com base na relação importância-desempenho discutir os fatores que correspondem a FCS no que se refere a gestão de projetos. A pesquisa utilizou a Partial Least Squares Structural Equation Modeling e o Importance-Performance Map Analysis. Os resultados mostram que a estratégia é o preditor mais importante e seus principais FCS são a metodologia de gerenciamento de projetos, a estrutura organizacional, o alinhamento de intenções e a viabilidade econômico-financeira. Nas operações, os principais FCS são a estabilidade do ambiente de projetos sobre o gerenciamento de riscos, o sistema de gestão da qualidade, as métricas de desempenho, as auditorias e verificações das entregas e a comunicação com as partes interessadas. Para as pessoas, os principais FCS são a aquisição de competências em gestão de projetos e o treinamento dos recursos humanos, ambos na perspectiva de disseminação do conhecimento vinculado as boas práticas, metodologias, ferramentas e técnicas que favorecem a execução dos projetos.

Using partial least squares structural equation modeling in hospitality and tourism

2018 ◽  
Vol 30 (11) ◽  
pp. 3462-3512 ◽  
Author(s):  
Ahmet Usakli ◽  
Kemal Gurkan Kucukergin
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Model Assessment ◽  
Content Type ◽  
Wide Range ◽  
Hospitality And Tourism

PurposeThe 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/approachA 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.FindingsThe 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 implicationsTo enhance the quality of research in hospitality and tourism, the present study provides recommendations for improving the future use of PLS-SEM.Originality/valueThe 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).

Structural model robustness checks in PLS-SEM

2019 ◽  
Vol 26 (4) ◽  
pp. 531-554 ◽  
Author(s):  
Marko Sarstedt ◽  
Christian M Ringle ◽  
Jun-Hwa Cheah ◽  
Hiram Ting ◽  
Ovidiu I Moisescu ◽  
...  
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Unobserved Heterogeneity ◽  
Nonlinear Effects ◽  
Equation Modeling ◽  
Complementary Methods ◽  
Methodological Rigor ◽  
Standard Tool ◽  
Model Robustness

Partial least squares structural equation modeling (PLS-SEM) has become a standard tool for analyzing complex inter-relationships between observed and latent variables in tourism and numerous other fields of scientific inquiry. Along with the recent surge in the method’s use, research has contributed several complementary methods for assessing the robustness of PLS-SEM results. Although these improvements are documented in extant literature, research on tourism has been slow to adopt the relevant complementary methods. This article illustrates the use of recent advances in PLS-SEM, designed to ensure structural model results’ robustness in terms of nonlinear effects, endogeneity, and unobserved heterogeneity in a PLS-SEM framework. Our overarching aim is to encourage the routine use of these complementary methods to increase methodological rigor in the field.

scholarly journals An Empirical Investigation of Software Customization and Its Impact on the Quality of Software as a Service: Perspectives from Software Professionals

2021 ◽  
Vol 11 (4) ◽  
pp. 1677
Author(s):  
Abdulrazzaq Qasem Ali ◽  
Abu Bakar Md Sultan ◽  
Abdul Azim Abd Ghani ◽  
Hazura Zulzalil
Keyword(s):  
Construct Validity ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Software As A Service ◽  
Equation Modeling ◽  
Model Assessment ◽  
Software Customization ◽  
Software Professionals

Although customization plays a significant role in the provision of software as a service (SaaS), delivering a customizable SaaS application that reflects the tenant’s specific requirements with acceptable level of quality is a challenge. Drawing on a pr-developed software customization model for SaaS quality, two fundamental objectives of this study were to determine whether different software customization approaches have direct impacts on SaaS quality, and also to assess the construct reliability and construct validity of the model. A questionnaire-based survey was used to collect data from 244 software professionals with experience in SaaS development. Structural equation modeling was employed to test the construct reliability, construct validity, and research hypotheses. The measurement model assessment suggested that the six-construct model with 39 items exhibited good construct reliability and construct validity. The findings of the structural model assessment show that all customization approaches other than the integration approach significantly influence the quality of SaaS applications. The findings also indicate that both configuration and composition approaches have positive impacts on SaaS quality, while the impacts of the other approaches are negative. The empirical assessment and evaluation of this model, which features a rich set of information, provides considerable benefits to both researchers and practitioners.

Personality Measurement and Profile in a European Sample of Civil Airline Pilots

2019 ◽  
Vol 35 (6) ◽  
pp. 791-800 ◽  
Author(s):  
Karina Mesarosova ◽  
Alex B. Siegling ◽  
Rachel A. Plouffe ◽  
Donald H. Saklofske ◽  
Martin M. Smith ◽  
...  
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Population Sample ◽  
Civil Aviation ◽  
Equation Modeling ◽  
Personality Profile ◽  
Working Population ◽  
Internal Reliability ◽  
Airline Pilots ◽  
Pilot Sample

Abstract. The study examined the psychometric properties of the Revised NEO Personality Inventory (NEO PI-R, UK edition) in a large European sample of civil airline pilots. The NEO PI-R is a comprehensive and robust measure of personality that has been validated across cultures and contexts. Furthermore, the personality profile of the pilot sample was examined and compared to a normative sample representing the UK working population. Data from 591 pilots (95.1% male) were collected. Analyses include the internal reliability and factorial validity (precisely, Exploratory Structural Equation Modeling) to examine the measurement equivalence of the NEO PI-R with reference to UK norms ( N = 1,301). Internal reliability estimates of the NEO PI-R scores were good at the domain level, but generally weak at the facet level. The structural model in the pilot sample was congruent with the general working population sample. Furthermore, there was convincing evidence for a distinct personality profile of civil pilots, although the stability of this profile will require further validation. The NEO PI-R’s validity in the assessment of general personality in civil airline pilots is discussed, along with implications of the results for the utility of personality assessment in civil aviation contexts.

The Impact of Service Satisfaction, Relational Satisfaction and Commitment on Customer Loyalty in Logistics Outsourcing Relationship

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Sanjit Singh H.
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Service Satisfaction ◽  
Equation Modeling ◽  
Relational Satisfaction ◽  
Logistics Outsourcing ◽  
Major Predictor ◽  
The Impact

This research explores the impact of service satisfaction, relational satisfaction, price satisfaction, and commitment on customer loyalty in logistics outsourcing relationships in Indian scenario. 254 users of logistics services from India were selected for investigating the potential linkages among the aforementioned satisfaction aspects and loyalty. Structural equation modeling (SEM) was employed to test the reliability and validity of the measurement and structural model developed to study the relationship among the linkages. Findings from the study supports that logistics service satisfaction, price satisfaction, relational satisfaction and commitment do influence loyalty positively. The analysis suggests that service satisfaction is the most important antecedent having primary influence in the formation of customer loyalty. Service satisfaction also has secondary influence on loyalty by acting as a strong driver in both relational satisfaction and commitment aspects of the service dimensions. Price satisfaction though positively been driven by service satisfaction, was found to have less significant effect as a predictor of loyalty in this context. The present study suggests that relational satisfaction is the second major predictor of loyalty which also drives commitment. This research is not an end-point but an attempt to establish the linkages and the effect among the antecedents driving the building and retention of good buyer-seller relationship in logistics outsourcing.

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