The mediating role of passenger satisfaction on the relationship between service quality and behavioral intentions of low-cost carriers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hsiu-Fen Lin
Keyword(s):  
Service Quality ◽  
Behavioral Intentions ◽  
Low Cost ◽  
Group Analysis ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Passenger Satisfaction ◽  
Low Cost Carriers ◽  
The Relationship

PurposeBy extending the existing service quality dimensions and reflecting the low-cost carriers (LCCs) context, the purpose ot this study aims to develop the research model to examine whether passenger satisfaction mediates the relationship between service quality and behavioral intentions of LCCs across low- and high-experience passengers.Design/methodology/approachData collected from 320 passengers (180 for low-experience passengers and 140 for high-experience passengers) to test the research model. The partial least square structural equation modeling approach was used to perform the path modeling and multi-group analysis.FindingsThe results confirm that passenger satisfaction mediates the relationship between four service quality constructs (tangible features, service reliability, quality of personnel and online ticketing service) and behavioral intentions (repurchase and recommendation intentions) for both low- and high-experience passengers. However, convenient flight schedule has a significant influence on passenger satisfaction only for low-experience passengers.Practical implicationsThe results of multi-group analysis indicated that passenger satisfaction exerts stronger effect on recommendation intentions for low-experience passengers. LCCs managers' priority should be placed on providing satisfying service experiences to less experienced passengers. Improved passenger satisfaction through superior service quality motivates low-experience passengers to recommend LCCs, thus increasing the positive word-of-mouth promotion.Originality/valueTheoretically, this study is first considering both low- and high-experience LCCs passenger perceptions to examine how passenger satisfaction mediates the relationship between service quality and post-purchase intentions. From the managerial perspective, the findings can provide useful management insights into developing multi-faceted strategies that allow LCCs firms to restore passenger confidence and retain their repurchase intentions.

Understanding the relationship of self-service technology quality with user adoption using SSTQUAL

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manimay Ghosh
Keyword(s):  
Service Quality ◽  
Empirical Research ◽  
Behavioral Intentions ◽  
Perceived Value ◽  
Equation Modeling ◽  
Content Type ◽  
Self Service ◽  
Self Service Technology ◽  
Relationship Of ◽  
The Relationship

PurposeThe study aimed to examine the antecedents to self-service technology (SST) adoption behavior and the relationships between the constructs using empirical research.Design/methodology/approachBased on synthesis of the extant literature, a model was hypothesized, hypotheses were framed. Field data collected were analyzed using structural equation modeling.FindingsFew interesting findings were noted in this research. First, SST service quality had a direct positive linkage with perceived value, but no linkage with e-satisfaction. Second, strong positive linkage existed between perceived value and e-satisfaction. Therefore, the connection between SST service quality and satisfaction was completely mediated by perceived value. Third, no relationship existed between perceived value and behavioral intentions, but a direct positive relationship existed between e-satisfaction and behavioral intentions. Thus, the relationship of perceived value with behavioral intentions was fully mediated by e-satisfaction. Fourth, no direct connection was found between SST service quality and behavioral intentions. Rather, the connection was fully mediated by perceived value and e-satisfaction. Fifth, direct positive association was found between behavioral intentions and actual adoption of SST.Research limitations/implicationsThis empirical research was conducted primarily on the young population.Practical implicationsThe study will benefit managers in making better decisions on how to make SST work successfully for their organizations.Originality/valueFirst, this research further refined the SST adoption process of a customer, thus making a meaningful contribution to the literature on SST. Second, the research validated SSTQUAL scale in a different geographical setting.

How social media influencer’s event endorsement changes attitudes of followers: the moderating effect of followers’ gender

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Sun ◽  
Xi Yu Leung ◽  
Billy Bai
Keyword(s):  
Social Media ◽  
Attitude Change ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Group Analysis ◽  
Equation Modeling ◽  
Content Type ◽  
Mediating Role ◽  
Marketing Effectiveness ◽  
Marketing Tool

Purpose This paper aims to study how a social media influencer (SMI) endorsement affects followers’ event attitude and behavioral intentions. More importantly, it comparatively examines the role of followers’ gender in event SMI marketing effectiveness. Design methodology approach Based on the congruity theory of attitude change, the current study developed an integrated framework of SMI marketing. In total, 335 online surveys were collected. Partial least squares structural equation modeling and multi-group analysis were conducted to test the hypotheses. Findings Results show that a follower’s attitude and behavioral intentions toward the event are affected by his or her influencer attitude. The present study also finds that follower’s social media post attitude plays a mediating role. Moreover, female followers are impacted more directly by their influencer attitude, while male followers are affected more indirectly through their attitude toward the social media posts. Research limitations implications The current study not only extends the event literature on SMI marketing but also provides recommendations for event professionals on SMI selection. Originality value This study examines SMI endorsement as a relatively new marketing tool in the event setting. It also is a pioneer study in testing the effect of social media followers’ gender differences.

On the path towards open innovation: assessing the role of knowledge management capability and environmental dynamism in SMEs

2017 ◽  
Vol 21 (3) ◽  
pp. 553-570 ◽  
Author(s):  
Isabel Martinez-Conesa ◽  
Pedro Soto-Acosta ◽  
Elias George Carayannis
Keyword(s):  
Knowledge Management ◽  
Open Innovation ◽  
Equation Modeling ◽  
Research Model ◽  
Environmental Dynamism ◽  
Content Type ◽  
Integrative Research ◽  
The Impact ◽  
The Relationship

Purpose This study aims to shed light on the internal and external antecedents of open innovation (OI) in the context of small- and medium-sized enterprises (SMEs), with a special focus on the role of knowledge management (KM) capability. The paper develops and tests an integrative research model which assesses the effect of internal factors on KM capability; the impact of organizational and external factors, namely, KM capability and environmental dynamism, on OI; and whether environmental dynamism moderates the relationship between KM capability and OI. Design/methodology/approach Drawing on the knowledge-based view and the social exchange and the contingency theories, this paper develops an integrative research model which analyzes several relations between organizational antecedents of KM capability and its effect on OI by using covariance-based structural equation modeling on a data set of Spanish SMEs. Findings Results confirm that information technology-supported operations and commitment-based human resource practices have a positive and significant influence on KM capability. In contrast, results do not find support for the relationship between interdepartmental connectedness and KM capability, whereas both KM capability and environmental dynamism have a direct influence on OI. Originality/value This paper adds to existing research on OI, as it is the first study that addresses the critical role of KM capability for the implementation of OI.

Trust transfer and the effect of service quality on trust in the healthcare industry

2014 ◽  
Vol 24 (4) ◽  
pp. 399-416 ◽  
Author(s):  
Che-hui Lien ◽  
Jyh-Jeng Wu ◽  
Ying-Hueih Chen ◽  
Chang-Jhan Wang
Keyword(s):  
Service Quality ◽  
Switching Costs ◽  
Equation Modeling ◽  
Healthcare Industry ◽  
Outcome Quality ◽  
Research Model ◽  
Moderating Effects ◽  
Content Type ◽  
Trust Transfer ◽  
Image Congruence

Purpose – The purpose of this paper is to examine the effect of service quality (interaction, physical environment, and outcome quality) on trust, to investigate the trust transfer in the healthcare industry, to explore the moderating effects of image congruence and switching costs on the trust transfer, and to assess the effect of trust on patients’ willingness of recommendation. Design/methodology/approach – The research model was tested using data collected from 483 inpatients in 15 medium-to-large hospitals in Taiwan. Structure equation modeling with the latent interaction effect was employed to verify and validate the research model. Findings – The outcomes show that interaction quality and outcome quality positively influence patients’ trust in the original hospital. But the effect of environment quality on trust is not significant. Patients’ trust in the original hospital positively affects their trust in its allied hospitals. Furthermore, image congruence positively moderates the trust transfer. However, switching costs do not appear to moderate the trust transfer. The results also confirm that trust in the original hospital and its allied hospitals positively affect patients’ willingness to recommend allied hospitals. Research limitations/implications – Due to the chosen research approach, the 15 hospitals cannot represent all hospitals in Taiwan and the research outcomes may lack generalizability. Practical implications – The research results provide insight into how a hospital can improve and manage patients’ trust and the trust transfer. Originality/value – This study represents one of the few that empirically investigates trust and trust transfer in the healthcare industry and examines the moderating effects of image congruence and switching costs on the trust transfer.

scholarly journals Is Physical Evidence Still Valid? A Study of Low Cost Carriers in Indonesia

2015 ◽  
Vol 17 (3) ◽  
pp. 203
Author(s):  
Yasintha Soelasih
Keyword(s):  
Structural Equation Modeling ◽  
Service Quality ◽  
Structural Equation ◽  
Low Cost ◽  
Second Order ◽  
Equation Modeling ◽  
Opposite Result ◽  
Physical Evidence ◽  
Low Cost Carriers

Physical evidence has been widely accepted as variable that has impact on satisfaction, specifically in airline service. However, this study showed some opposite result for low cost airlines in Indonesia. It revealed that physical evidence has no effect on the passengers’ satisfaction but the fares and its service quality to passengers.’ This study collected sample of 317 passengers from commercial domestic flights at terminal 1, 2, and 3 at Soekarno Hatta airport in Cengkareng, Indonesia. The variables used in this study were: fares, service quality, physical evidence, passengers’ satisfaction levels and repeat buying. Two variables, i.e.: service quality and physical evidence were treated as second order. This study used Structural Equation Modeling (SEM) for verification analysis. The result revealed that there was no effect of physical evidence on the passengers’ satisfaction. It also found that repeat buying demonstrated the passengers’ satisfaction.

The impact of innovation strategies on the relationship between supplier integration and operational performance

2019 ◽  
Vol 49 (2) ◽  
pp. 156-177 ◽  
Author(s):  
Jose Benedicto Duhaylongsod ◽  
Pietro De Giovanni
Keyword(s):  
Structural Equation ◽  
Group Analysis ◽  
Operational Performance ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type ◽  
Supplier Integration ◽  
Innovation Strategies ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to investigate whether implementing certain innovation strategies and adopting a portfolio of innovations improve the relationship between supplier integration (SI) and operational performance (OP). Design/methodology/approach The authors test several research hypotheses by using a data set of 173 firms. Data were collected by interviewing managers, presidents and directors, from ten European countries and across nine different industries. The authors use structural equation modeling to estimate the relationships between SI and OP. The authors apply multi-group analysis to test the effects of certain innovation strategies and a portfolio of innovations on these relationships. Findings The authors show that SI improves internal OP but has no direct effect on external OP. The latter can only be improved through well-performing internal operations. The adoption of an incremental product innovation strategy improves the relationship between internal and external OP and leads to more effective SI. Other types of innovations do not help in improving the impact of SI on OP. Finally, the adoption of a portfolio of innovations does not enhance the influence of SI on OP. Thus, firms should focus on a small number of innovations rather than expanding their innovation portfolio to improve the effectiveness of SI on OP. Practical implications When firms aim to improve the impact of SI on OP, they should concentrate on incremental product innovations. Other strategies obtained by combining process, incremental and radical innovations are not adequate for that purpose. An expanded portfolio of innovations does not improve the effect of supplier innovation on OP. Originality/value This research suggests how the impact of SI on OP can be improved by adopting certain innovation strategies and without diversifying the portfolio of innovation projects.

The effect of brand authenticity on consumer–brand relationships

2019 ◽  
Vol 28 (2) ◽  
pp. 231-241 ◽  
Author(s):  
Hyunjoo Oh ◽  
Paulo Henrique Muller Prado ◽  
Jose Carlos Korelo ◽  
Francielle Frizzo
Keyword(s):  
Behavioral Intentions ◽  
Structural Equation ◽  
The Self ◽  
Equation Modeling ◽  
Content Type ◽  
Brand Authenticity ◽  
Key Factor ◽  
The Usa ◽  
The Impact ◽  
The Relationship

Purpose This paper aims to explore the impact of brand authenticity on forming self-reinforcing assets (enticing-the-self, enriching-the-self and enabling-the-self), which subsequently influence the brand-self connectedness and consumers’ behavioral intentions. Design/methodology/approach The authors surveyed 347 consumers in the USA and Brazil and used structural equation modeling to test the relationship among brand authenticity, self-reinforcing assets, brand-self connectedness and behavioral intentions. Findings Brand authenticity was found to influence the self-reinforcing assets. In turn, the self-reinforcing assets promoted closeness toward the brand, thereby increasing the behavioral intentions of consumers to buy a product, visit a store/website in the future and recommend the brand to other people. Practical implications Marketing practitioners can use these results to promote better brand positioning by considering brand authenticity as a key factor in how consumers cognitively assess brands. Originality/value This paper shows that brand authenticity is a key antecedent of consumer–brand self-reinforcing assets.

Adoption of e-Governance

2019 ◽  
Vol 13 (2) ◽  
pp. 122-142 ◽  
Author(s):  
Sayantan Khanra ◽  
Rojers P. Joseph
Keyword(s):  
Service Quality ◽  
Digital Divide ◽  
Conceptual Model ◽  
Structural Equation ◽  
English Proficiency ◽  
Direct Access ◽  
Equation Modeling ◽  
Content Type ◽  
Willingness To Adopt ◽  
The Relationship

Purpose This study aims to investigate India’s poor performance in the overall implementation of e-Governance despite significant improvements in the quality and scope of e-Government services in the country. Design/methodology/approach The study proposes a conceptual model based on four hypotheses that are tested using the structural equation modeling technique. Based on the results obtained, the conceptual model is suitably modified. Findings The major finding of the study is that “English proficiency” and “digital divide” sequentially mediate the relationship between “service quality” and the “willingness to adopt e-Governance” in India. Research limitations/implications The conceptual model emerging from the study adds to the literature on e-Governance service quality and adoption. However, a longitudinal or experimental study may provide more insights into the context. Practical implications Primarily, this study would interest agencies involved in developing and delivering e-Governance services. Besides, the findings may be useful for the “big data companies” that are interested in gaining direct access to the last-mile users of developing countries. Social implications The study intends to provide directions to policymakers on improving access to e-Governance services for the people who are deprived of the benefits of such services. Originality/value This is the first study to incorporate both English proficiency and digital divide in a single conceptual model in the literature related to the relationship between service quality and the willingness to adopt e-Governance.

Antecedents and consequences of user engagement in smartphone travel apps

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faizan Ali ◽  
Abraham Terrah ◽  
Chengzhong Wu ◽  
Laiba Ali ◽  
Hui Wu
Keyword(s):  
Service Quality ◽  
Behavioral Intentions ◽  
Information Quality ◽  
Amazon Mechanical Turk ◽  
Equation Modeling ◽  
Smartphone App ◽  
Quality Information ◽  
User Engagement ◽  
System Quality ◽  
Content Type

Purpose This study aims to test the effect of system quality, information quality and service quality on user engagement and its effect on smartphone travel apps’ satisfaction, love and behavioral intentions. Design/methodology/approach Using the self-selection sampling technique, data was collected from 417 respondents recruited via Amazon Mechanical Turk. Data was subjected to partial least squares based structural equation modeling. Findings Results indicate that system quality, information quality and service quality have a significantly positive impact on user engagement with smartphone travel apps. Moreover, user engagement has a positive and significant impact on smartphone app satisfaction, smartphone app love and behavioral intentions. Originality/value This is the first study to integrate DeLone and McLean (2003) updated information system success model and stimulus-organism-response model to propose a holistic model of user’s engagement with smartphone travel apps.

An Evaluation for Long-Haul Low-Cost Carriers Using User-Generated Content

2020 ◽  
pp. 231-251
Author(s):  
Mahmut Bakır ◽  
Sahap Akan ◽  
Ozlem Atalik
Keyword(s):  
Regression Analysis ◽  
Service Quality ◽  
Business Model ◽  
Airline Industry ◽  
Low Cost ◽  
Perceived Value ◽  
User Generated Content ◽  
Low Cost Carriers ◽  
New Business ◽  
The Relationship

Since the liberalization of the airline industry, the low-cost business model has been developed worldwide and a new business model of long-haul low-cost carriers (LHLCCs) has evolved. This chapter aims to investigate the LHLCC business model from a customer-oriented perspective in terms of service quality and perceived value. For this purpose, the authors investigated the effect of service quality on perceived value for money for LHLCCs. In this chapter, user-generated content was adopted to collect data, and 824 user-generated airline reviews were collected from TripAdvisor.com, the largest tourism-related repository. In order to investigate the relationship, a predictive correlational design was structured and a logistic regression analysis was applied. To contribute to the regression analysis, a receiver operating characteristic (ROC) analysis was performed to measure the classification success. As a result, the logit model describes well the relationship between variables for LHLCCs.

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