scholarly journals Investigation of the Relationship between the Perceived Public Transport Service Quality and Satisfaction: A PLS-SEM Technique

2021 ◽  
Vol 13 (23) ◽  
pp. 13018
Author(s):  
Karzan Ismael ◽  
Szabolcs Duleba
Keyword(s):  
Service Quality ◽  
Least Squares ◽  
Partial Least Squares ◽  
Public Transport ◽  
Public Transportation ◽  
Structural Equation ◽  
Group Analysis ◽  
Equation Modeling ◽  
Private Vehicle ◽  
Significant Difference

Public transportation (PT) service quality is recognized as a cornerstone of infrastructure development in many countries. Understanding the satisfaction level of public transport users towards provided service quality is vital. However, there is still a lack of research to identify the specific relationship between the experience of service quality and private vehicle (PV) users’ satisfaction. Therefore, this paper aimed to examine the different satisfaction attributes of PV users due to the COVID-19 pandemic and to make possible suggestions to policymakers on how to adapt to these changed attitudes. The paper highlights that some satisfaction issues became more significant, while the importance of others was mitigated due to the unusual circumstances. In this study, variance-based Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied to test the proposed hypotheses. Further, Partial Least Squares Multi-Group Analysis (PLS-MGA) was conducted for investigating the perception of age and gender groups on the basis of gap analysis. An online panel and printed questionnaire survey were used to collect data in Budapest, Hungary in October and November 2020 during COVID-19 from the perception of 100 PV users. The findings show that perceived service quality and accessibility are statistically significant in the formation of PV users’ satisfaction but safety and security were not significantly related to satisfaction. Additionally, results from PLS-MGA reveal that there was a significant difference among gender and age groups in achieving satisfaction associated with safety and security. The conclusions of this study are not only beneficial for the theory of this field but also contribute to practice for policymakers in terms of providing better service with specific identification of how to encourage more private vehicle users to use public transportation.

scholarly journals Applying the Theory of Planned Behavior to Examine Pro-Environmental Behavior: The Moderating Effect of COVID-19 Beliefs

2020 ◽  
Vol 12 (24) ◽  
pp. 10556
Author(s):  
Caterina Lucarelli ◽  
Camilla Mazzoli ◽  
Sabrina Severini
Keyword(s):  
Climate Change ◽  
Theory Of Planned Behavior ◽  
Least Squares ◽  
Partial Least Squares ◽  
Planned Behavior ◽  
Structural Equation ◽  
Environmental Behavior ◽  
Group Analysis ◽  
Policy Implications ◽  
Equation Modeling

The COVID-19 pandemic and climate change issues present evident interdependencies which justify the spread of connected beliefs. We examine possible changes in individuals’ pro-environmental behavior in light of this pandemic, using the Theory of Planned Behavior (TPB) framework. A questionnaire survey was submitted to the same sample of individuals, before and during the pandemic. Our evidence, based on Partial Least Squares Structural Equation Modeling (PLS-SEM), shows that the COVID-19 pandemic has not led to a weakening in TPB construct relationships, or in related Pro-Environmental Behavior (PEB). Conversely, through our Partial Least Squares-Multi-Group Analysis (PLS-MGA), we show that individuals with greater awareness of interdependencies between the COVID-19 and climate change exhibit both higher Intention and reinforced Pro-Environmental Behaviors. This finding reveals interesting policy implications in terms of innovative behavioral drivers that should be employed to steer public support towards climate-oriented initiatives.

Enjoyable queuing and waiting time

2017 ◽  
Vol 28 (2) ◽  
pp. 543-566 ◽  
Author(s):  
Chih-Chin Liang
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Waiting Time ◽  
Structural Equation ◽  
Group Analysis ◽  
Customer Experience ◽  
Consumer Electronics ◽  
Equation Modeling ◽  
Queuing Model ◽  
Customer Perceptions

Time theory studies abstractly argue that, depending on the customer experience, time spent waiting may be positive, negative, or even neutral, and it can affect the perceived passing of time and enjoyment of the overall customer experience. However, a company can manipulate customer perceptions of waiting time. Positive perceptions of waiting time can then be used for marketing purposes. Customer perceptions of waiting time can be reduced by making the queuing process enjoyable, by improving the waiting environment, and by making promotional activities enjoyable. To validate the aforementioned factors and develop the enjoyable queuing model, this study surveyed 1571 customers queuing at service companies in Taiwan, including 409 customers of upscale restaurants, 430 customers of restaurants, 439 customers of food stands, and 293 customers queuing at consumer electronics shops to purchase newly released iPhones. The applicability of the enjoyable queuing model was evaluated by partial least squares structural equation modeling, and group differences were evaluated by partial least squares multi-group analysis. The analytical results for each case and managerial implications are presented.

scholarly journals THE IMPACT OF SERVICE QUALITY AND CORPORATE REPUTATION TOWARD LOYALTY IN THE INDONESIAN HOSPITALITY SECTOR

2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Nicholas Wilson
Keyword(s):  
Service Quality ◽  
Least Squares ◽  
Partial Least Squares ◽  
Customer Loyalty ◽  
Corporate Reputation ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Hospitality Sector ◽  
The Impact

Penelitian ini dilakukan guna mengetahui bagaimana pengaruh service quality dan corporate reputation terhadap loyalty, baik secara langsung ataupun tidak langsung melalui trust. Penelitian ini mengimplementasikan metode survei, dimana, kuesioner digunakan sebagai alat untuk mengumpulkan data yang diperlukan pada penelitian ini. Sebanyak 200 responden berpartisipasi pada penelitian ini, dimana, dari 200 data yang terkumpul, sebanyak 191 data dinyatakan valid, reliable dan dapat digunakan untuk selanjutnya diproses pada penelitian ini. Data selanutnya dianalisa dengan metode partial least squares-structural equation modelling (PLS-SEM). Berdasarkan hasil analisis data yang diperoleh, peneliti dapat menyimpulkan bahwa service quality dan corporate reputation berpengaruh positif terhadap loyalty, baik secara langsung ataupun tidak langsung melalui trust pada industri Perhotelan di Indonesia. This research was conducted in order to determine the impact of service quality and corporate reputation toward customer loyalty, both directly and indirectly through trust in the Indonesian hospitality sector. This research implements ssurvey method, in which quaestionnaires were utilized as the tools to collect all of the data required for the completion of this study. A total od 200 respondents participate in this study, in which, out of 200, 191 data had been deemed valid, reliable and usable to be further processed in this research. All of the data then were analyzed using partial least squares-structural equation modeling (PLS-SEM) method. Based on the results of the data analysis, author would like to conclude that both service quality and corporate reputation had a positive impact on customer loyalty, both directly and indirectly through trust in the Indonesian hospitality sector.

scholarly journals Factors Affecting Satisfaction and Loyalty in Public Transport using Partial Least Squares Structural Equation Modeling (PLS-SEM)

2019 ◽  
Vol 8 (12) ◽  
pp. 569-575 ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Public Transport ◽  
Structural Equation ◽  
Theory Development ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Effective Strategies ◽  
Transportation Research

With an increasing number of privately own vehicles in Malaysia, the popularity of public transports is increasingly challenged by ride-hailing services such as Grab, MyCar, JomRides and MULA. To develop effective strategies aimed at retaining users, it is necessary to understand the factors that affect users’ satisfaction and loyalty in public transport. In this study, we propose that satisfaction and loyalty in public transport are associated with five key factors: accessibility, reliability, perceived value, comfort, and safety and security. Data collected from a survey of 179 public transport users in Kuching city was used to test the research model. Partial least squares structural equation modeling (PLS-SEM) was used to analyse the data. The main findings were that safety and security, and reliability significantly affected the users’ satisfaction and loyalty in public transport, while no statistically significant relationship was found among accessibility, satisfaction and loyalty. These findings not only contribute to the theory development of transportation research but also help practitioners to develop novel strategies aimed at increasing public transport usage.

Antecedents of satisfaction and loyalty in different spectator tribes in a football context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giuseppe Lamberti ◽  
Josep Rialp ◽  
Alexandra Simon
Keyword(s):  
Structural Equation Modeling ◽  
Service Quality ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Design Methodology ◽  
Sport Management ◽  
Equation Modeling ◽  
Emotional Involvement ◽  
Content Type

PurposeExtending existing research in a football context, this study explores how image and service quality influence spectator tribe satisfaction and loyalty and variations in behaviors depending on age, gender and emotional involvement.Design/methodology/approachSpectators aged 18 years and older who attended Barcelona Football Club home La Liga matches were sampled. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the model, and hybrid multigroup PLS-SEM was used to explore observed heterogeneity.FindingsImage and service quality both influence spectator satisfaction and loyalty. Satisfaction and loyalty are associated differently with three tribes: a nonpassionate tribe characterized by low emotional involvement and younger and older passionate tribes composed of emotionally involved spectators aged <30 and >30 years old, respectively.Research limitations/implicationsThis study’s results contribute to strengthening the suitability of PLS-SEM and multigroup in sport management, in particular for analyzing the behavior of specific groups of football spectators.Originality/valueThe findings of this study underline image and service quality as crucial to football spectator satisfaction and loyalty, with emotional involvement and age defining different consumer tribes as potential targets for marketing purposes.

scholarly journals Structural Equation Modeling (SEM) untuk Mengukur Pengaruh Pelayanan, Harga, dan Keselamatan terhadap Tingkat Kepuasan Pengguna Jasa Angkutan Umum Selama Pandemi Covid-19 di Kota Ambon

2021 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Zakheus Putlely ◽  
Yopi Andry Lesnussa ◽  
Abraham Z Wattimena ◽  
Muhammad Yahya Matdoan
Keyword(s):  
Structural Equation Modeling ◽  
Service Quality ◽  
Public Transport ◽  
Public Transportation ◽  
Structural Equation ◽  
Large Scale ◽  
Equation Modeling ◽  
Transport Services ◽  
Passenger Satisfaction ◽  
Statistical Analysis Technique

<p>Structural Equation Modeling (SEM) is a statistical analysis technique used to build and test statistical models in the form of causal models. Large-Scale Social Restrictions (PSBB) are government policies to break the chain of spreading the corona virus (Covid-19). This policy certainly has an impact on drivers of public transport services. This research shows that the passengers are very satisfied with the travel safety factor. Meanwhile, service factors and passenger public transport fares are in the satisfied category. Furthermore, the variable service quality (MP), the price of public transportation (H), and passenger safety (KP) have an influence on passenger satisfaction. Because the <em>t</em>-value is greater than 1.96 (for the real level of 5%). The influence of service quality, price and safety variables on passenger satisfaction is 78.1%, the remaining 21.9% is influenced by other variables outside the research.</p><strong>Keywords: </strong>covid-19, structural equation modeling, satisfaction.

scholarly journals eWOM in C2C Platforms: Combining IAM and Customer Satisfaction to Examine the Impact on Purchase Intention

2021 ◽  
Vol 16 (5) ◽  
pp. 1612-1630
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Purchase Intention ◽  
Structural Equation ◽  
Source Credibility ◽  
Positive Impact ◽  
Equation Modeling ◽  
Research Model ◽  
Argument Quality ◽  
The Impact

This study is focused on communications that come from consumer-to-consumer (C2C) ecommerce relationships. This topic is directly associated with the electronic word-of-mouth (eWOM) phenomenon. eWOM is related to the set of positive or negative opinions made by potential, actual, or former customers about a seller. The present study proposes a structural equation modeling with partial least squares (PLS-SEM) research model to analyze consumers’ opinions impact on attitude toward purchasing. This model is based on the Information Adoption Model (IAM) in combination with an ecommerce satisfaction perspective, comprising five constructs: (1) service quality, (2) ecommerce satisfaction, (3) argument quality, (4) source credibility and (5) purchase intention. The model was tested by applying the Smart Partial Least Squares (SmartPLS) software for which 116 effective data from customers of the Taobao C2C platform were used. The findings reveal that all of the defined relationships were supported, confirming the positive impact of all the proposed constructs on the purchase intention. In this respect, the findings suggest that C2C platforms should strengthen the analyzed connections to grow the business and to promote transactions. Finally, implications and limitations related to the explanatory capacity and the sample are identified.

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