Understanding patients’ behavioral intentions

2014 ◽  
Vol 28 (6) ◽  
pp. 795-810 ◽  
Author(s):  
Ehsan Zarei ◽  
Mohammad Arab ◽  
Seyed Mahmoud Ghazi Tabatabaei ◽  
Arash Rashidian ◽  
Abbas Rahimi forushani ◽  
...  
Keyword(s):  
Service Quality ◽  
Behavioral Intentions ◽  
Perceived Value ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Private Hospitals ◽  
Content Type ◽  
Interaction Quality ◽  
Environment Quality

Purpose – In the ever-increasing competitive market of private hospital industry, creating a strong relationship with the customers that shapes patients’ loyalty has been considered a key factor in obtaining market share. The purpose of this paper is to test a model of customer loyalty among patients of private hospitals in Iran. Design/methodology/approach – This cross-sectional study was carried out in Tehran, the capital of the Islamic Republic of Iran in 2010. The study samples composed of 969 patients who were consecutively selected from eight private hospitals. The survey instrument was designed based on a review of the related literature and included 36 items. Data analysis was performed using structural equation modeling. Findings – For the service quality construct, three dimensions extracted: Process, interaction, and environment. Both process and interaction quality had significant effects on perceived value. Perceived value along with the process and interaction quality were the most important antecedents of patient overall satisfaction. The direct effect of the process and interaction quality on behavioral intentions was insignificant. Perceived value and patient overall satisfaction were the direct antecedents of patient behavioral intentions and the mediators between service quality and behavioral intentions. Environment quality of service delivery had no significant effect on perceived value, overall satisfaction, and behavioral intentions. Originality/value – Contrary to previous similar studies, the role of service quality was investigated not in a general sense, but in the form of three types of qualities including quality of environment, quality of process, and quality of interaction.

A confirmatory factor analysis for SERVPERF instrument based on a sample of students from Syrian universities

2015 ◽  
Vol 57 (3) ◽  
pp. 343-359 ◽  
Author(s):  
Ali Bassam Mahmoud ◽  
Bayan Khalifa
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Support Staff ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
Higher Education System

Purpose – The purpose of this paper is to confirm the factorial structure of SERVPERF based on an exploration of its dimensionality among Syrian universities’ students. It also aimed at assessing the perceived service quality offered at these universities. Design/methodology/approach – A cross-sectional survey was conducted targeting students at Syrian universities. Using a pilot sample of 40 students, the authors developed their hypotheses. Thereafter, based on a sample of 259 students, the hypotheses were tested using structural equation modeling and one-sample t-test. Findings – The findings revealed that SERVPERF in the Syrian universities’ context was a three-factor instrument consisting of the three dimensions: faculty-individualized attention, support staff helpfulness, and support staff empathy. Moreover, the findings showed that students at Syrian universities hold negative perceptions toward all of the three service quality dimensions provided by their universities. Practical implications – Given the imperative need for universities to monitor and improve the quality of their services, this study can help Syrian universities’ administrations understand the perceptions of their students toward services offered, which can help them formulate effective marketing strategies. Originality/value – This paper came to be one of the first studies that attempted to assess the perceived quality of services offered through the Syrian higher education system. Additionally, this study pioneered through drawing a factorial picture for SERVPERF at the Syrian Arab context.

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.

The effects of customer satisfaction, perceived value, corporate image and service quality on behavioral intentions in gaming establishments

2014 ◽  
Vol 26 (4) ◽  
pp. 540-565 ◽  
Author(s):  
Hung-Che Wu
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Behavioral Intentions ◽  
Perceived Value ◽  
Corporate Image ◽  
Gaming Industry ◽  
Content Type ◽  
Perceived Service Quality ◽  
Multi Level ◽  
Main Determinants

Purpose – The purpose of this paper is to identify the dimensions of service quality and examining the interrelationships among behavioral intentions, customer satisfaction, perceived value, corporate image and service quality in the gaming industry. A multi-level and hierarchical model is used as a framework to synthesize the effects of customer satisfaction, perceived value, corporate image and service quality on behavioral intentions of customers in the gaming industry. Design/methodology/approach – The data used in this study were based on a sample of 470 at a newly built casino in Macau. Data were analyzed using exploratory factor analysis and regression analysis. Findings – The findings support using a multi-level model consisting of three primary dimensions and ten sub-dimensions to conceptualize and measure perceived service quality. Perceived service quality significantly influences perceived value and corporate image, respectively. In addition, perceived value and corporate image are main determinants of customer satisfaction. Also, customer satisfaction and corporate image significantly affect behavioral intentions. Originality/value – This is the first study synthesizing behavioral intentions, customer satisfaction, perceived value, corporate image and perceived service quality in a Macau casino setting.

Service journey quality: conceptualization, measurement and customer outcomes

2021 ◽  
Vol 32 (6) ◽  
pp. 1-27
Author(s):  
Elina Jaakkola ◽  
Harri Terho
Keyword(s):  
Service Quality ◽  
Service Delivery ◽  
Customer Loyalty ◽  
Financial Services ◽  
Three Dimensions ◽  
Service Research ◽  
Research Approach ◽  
Critical Determinant ◽  
Content Type

PurposeThe quality of the customer journey has become a critical determinant of successful service delivery in contemporary business. Extant journey research focuses on the customer path to purchase, but pays less attention to the touchpoints related to service delivery and consumption that are key for understanding customer experiences in service-intensive contexts. The purpose of this study is to conceptualize service journey quality (SJQ), develop measures for the construct and study its key outcomes.Design/methodology/approachThe study uses a discovery-oriented research approach to conceptualize SJQ by synthesizing theory and field-based insights from customer focus group discussions. Next, using consumer survey data (N = 278) from the financial services context, the authors develop measures for the SJQ. Finally, based on an additional survey dataset (N = 239), the authors test the nomological validity and predictive relevance of the SJQ.FindingsSJQ comprises of three dimensions: (1) journey seamlessness, (2) journey personalization and (3) journey coherence. This study demonstrates that SJQ is a critical driver of service quality and customer loyalty in contemporary business. This study finds that the loyalty link is partially mediated through service quality, indicating that SJQ explains loyalty above and beyond service quality.Research limitations/implicationsSince service quality only partially mediates the link between service journey quality and customer loyalty, future studies should examine alternative mediators, such as customer experience, for a more comprehensive understanding of the performance effects.Practical implicationsThe study offers concrete tools for service managers who wish to understand and develop the quality of service journeys.Originality/valueThis study advances the service journey concept, demonstrates that the quality of the service journey is a critical driver of customer performance and provides rigorous journey constructs for future service research.

scholarly journals Measuring Customer Satisfaction When Dining at a Casual Restaurant: An Application of Kisang's Model

2020 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Soomro Dr. Raheem Bux ◽  
Brohi Noor Ahmed ◽  
Memon Khair Muhammad ◽  
Gilal Rehman Gul
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Food Quality ◽  
Physical Environment ◽  
Perceived Value ◽  
Average Temperature ◽  
Environment Quality ◽  
Customer Perceived Value ◽  
Quality Dimensions

The culinary business is being increased rapidly in Pakistan. Usually, Pakistani consumers prefer to eat meals at homes cooked by female members owing to cultural, social and religious reason. In order to bridge up the gap in existing hospitality literature, the objective of this research manuscript is to find out the relation among dimensions of quality (food quality, service quality and quality of physical environment), customer satisfaction, restaurant image, behavioral intentions and customer perceived value in casual restaurants in Sukkur city. Data for this research study have been collected from customers of restaurants located in Sukkur city through convenience sampling. SPSS (24) and Smart PLS (3.0) versions were used for data analysis. Service quality dimensions of causal restaurant were found important determinants of the restaurant image and customer perceived value followed by physical environment and service quality; whereas, the physical environment quality was not found to be a significant factor of perceived value of customer. Additionally, food quality is measured as an important restaurant’s product. Another outcome of the present study exhibited that quality of physical environment holds a substantial positive effect on restaurant image. The findings indicate quality in food and service is highly important to satisfy customers and make their behavior positive about casual restaurant. Further, as an average temperature remains above 400 in Sukkur city, internal environment of the restaurant is significant as it will affect the mood and perception of customers when they dine in the casual restaurant.

The influence of e-customer satisfaction, e-trust and perceived value on consumer's repurchase intention in B2C e-commerce segment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Miao Miao ◽  
Tariq Jalees ◽  
Syed Imran Zaman ◽  
Sherbaz Khan ◽  
Noor-ul-Ain Hanif ◽  
...  
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Perceived Value ◽  
Partial Least Square ◽  
Least Square ◽  
Mediation Effect ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Content Type ◽  
Online Experience

PurposeThis research study investigates the factors that influence e-customer satisfaction, e-trust, perceived value and consumers repurchase intention in the context of the B2C e-commerce segment. It investigates the mediation effect of e-customer satisfaction, e-trust and perceived value on repurchase intention. It also examines the moderating role of prior online experience.Design/methodology/approachBased on the adapted questionnaire, pre-recruited enumerators collected the data from five leading business universities of Karachi. They distributed 425 questionnaires and received 415 questionnaires. The study has used Partial Least Square-Structure Equation Modeling (PLS-SEM) technique for data analysis.FindingsWe have tested 20 hypotheses, of which our results do not support five, including two direct, two mediating. Our results support all the direct hypotheses except the following two: (1) delivery service affects e-satisfaction (2) customer services quality effect on trust. We did not find support for the following two mediating hypotheses (1) e-satisfaction mediates delivery services and repurchase intention, (2) service quality mediates customers' service quality and repurchase intention. Our results do not support one moderating relationship. Prior online experience moderates e-perceived value and repurchase intention.Research limitations/implicationsThis research provides valuable information to the online retailers of B2C e-commerce, which can help them make strategies based on their consumers' behavior and encourage them to make repeat purchases from online retailing stores. It allows future researchers to replicate the model in cross-cultural studies in different product categories.Originality/valueWe have examined the moderating effect of prior online experience between (e-satisfaction, e-trust and perceived value) on the repurchase intention.

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.

Evaluating the total quality and its role in measuring consumer satisfaction with e-healthcare services using the 5Qs model: a structure equation modeling approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prachi Verma ◽  
Satinder Kumar ◽  
Sanjeev K. Sharma
Keyword(s):  
Service Quality ◽  
Consumer Satisfaction ◽  
Healthcare Service ◽  
Healthcare Services ◽  
Public Hospitals ◽  
Equation Modeling ◽  
Total Quality ◽  
Content Type ◽  
Quality Perceptions

PurposeThis article initially aims to explore the factors of every quality construct of the 5Qs model of service quality and, second, identify the significant factors affecting the total quality of e-healthcare services and its association with consumer satisfaction using a multidimensional hierarchical 5Qs model of e-healthcare service quality.Design/methodology/approachQuestionnaire-oriented research was performed at three public hospitals of Punjab and Chandigarh. In total, 53 variables were covered in all quality constructs for data collection from the designated public hospitals. The respondents who agreed to have knowledge regarding e-Healthcare services and were availing these services were included in the study. The analysis comprised structural equation modeling technique using AMOS 21.FindingsThe outcomes suggest that the 5Qs model is more comprehensive and can be used to evaluate service quality perceptions using e-Healthcare services. The research identified 11 sub-dimensions for the five quality constructs of the 5Qs model, representing total quality, which is primary to consumer satisfaction. “Overall objectivity” and “technical objectivity” defined the quality of object. The quality of process of e-Healthcare services was characterized by “functionality,” “timeliness” and “responsiveness.” Quality of infrastructure was defined by “technical infrastructure,” “physical infrastructure,” “manpower skills” and “organizational infrastructure.” “Manner of interaction” and “timely interaction” defined the quality of interaction. The atmosphere was represented by only one factor. The results also suggest that quality of infrastructure, quality of interaction and quality of atmosphere play the most significant role in total quality leading to consumer satisfaction.Research limitations/implicationsTheoretical implications: The multidimensional hierarchical model will help the researchers study the e-Healthcare service quality in a more organized manner, and the outcomes of this study can be linked with that of future studies for more generalized application in other public hospitals. The sub-dimensions of each quality construct of the 5Qs model can be applied in private hospitals, and the hierarchical model can be tested in different industries to measure service quality perceptions of the consumerPractical implicationsThe outcomes of the study can be applied in various public sector hospitals to redesign the e-Healthcare services based on consumers' perception for better consumer satisfaction and quality services. This paper identifies the role of each quality construct in e-Healthcare services for improvement in the total quality, which in turn will lead to higher satisfaction for the consumers.Originality/valueIn this study, the original 5Qs model has been used for the first time in a new instrument to understand better and design quality e-Healthcare services. The paper explores the sub-factors of each quality construct and its significance in measuring the total quality.

Higher education service quality, student satisfaction and loyalty

2019 ◽  
Vol 27 (4) ◽  
pp. 427-445 ◽  
Author(s):  
Viraiyan Teeroovengadum ◽  
Robin Nunkoo ◽  
Christian Gronroos ◽  
T.J. Kamalanabhan ◽  
Ashley Keshwar Seebaluck
Keyword(s):  
Higher Education ◽  
Service Quality ◽  
Student Satisfaction ◽  
Structural Model ◽  
Perceived Value ◽  
Second Order ◽  
Equation Modeling ◽  
Content Type ◽  
Education Service ◽  
Order Factor

Purpose The purpose of this study is to validate the higher education service quality (HESQUAL) scale using a confirmatory approach and test an improved structural model that predicts student loyalty from image, perceived value, satisfaction and service quality. In addition to validating the HESQUAL scale using a confirmatory approach, two other main limitations in the extant literature are addressed. Design/methodology/approach The model is tested using data collected from 501 students enrolled in different higher education institutions in Mauritius. A two-stage approach to structural equation modeling is used whereby the measurement model is first tested using confirmatory factor analysis and followed by the assessment of the structural model. Findings Importantly, results indicate that student satisfaction is influenced by technical service quality, image and perceived value, but not by functional service quality. Both dimensions of service quality however are significant predictors of image and perceived value. The study uses a comprehensive measure of service quality and demonstrates that it is worthwhile to consider functional service quality as higher-order model and clearly distinguish between functional and technical quality, as both the technical and functional aspects play an important role in shaping students’ perceptions and behaviors. Originality/value First, in the existing literature, service quality has not been considered as a second-order factor model in structural models of student satisfaction and loyalty, thus lacking either precision or parsimony. Second, the transformative quality aspect of higher education has been largely neglected in previous research testing such predictive models. The model delineates service quality into the functional and transformative (technical) aspects and treats functional service quality as a second-order factor comprising nine sub-dimensions.

Developing an integrated indoor built environment–quality of life model for the elderly in public and subsidized housing

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mei-yung Leung ◽  
Ibukun Oluwadara Famakin ◽  
Chendi Wang
Keyword(s):  
Quality Of Life ◽  
Built Environment ◽  
Social Relationships ◽  
The Elderly ◽  
Walking Distance ◽  
Equation Modeling ◽  
Content Type ◽  
Environment Quality ◽  
Life Model

Purpose The growth rate of the aging population raises the demand for and challenges of public and subsidized (P&S) housing for the elderly. The decline in elderly ability increases their dependence on the quality of facilities provided by their residential apartment. Hence, the purpose of this paper is to develop an integrated indoor built environment–quality of life model for the elderly in P&S housing estates. Design/methodology/approach A questionnaire survey, including scales for 4 quality of life (QoL) domains (physical health, psychological health, social relationships and overall QoL), and 13 indoor built environment (BE) components were identified. In total, 365 survey data were collected from the elderly in 18 political districts of Hong Kong, while reliability analysis, multiple regression analysis and structural equation modeling were adopted in the data analysis. Findings Based on the congruence of results of these statistical analyses, it was revealed that: furniture and fixtures predict all the four QoL domains of the elderly; lighting and color induce social relationships; and overall QoL is predicted by distance and handrails. Originality/value Several recommendations were made in accordance with the research results, such as review minimum spacing requirements to provide walking distance for elderly physical activity, investigate the micro-climate for appropriate building orientation, consider the changing body size of the elderly for supply of furniture, use warm colors with high levels of illumination, and so on.

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