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In this way, the aim of this study is to expand and evelop the application of this technique in FMEA to rank failure modes of ESQ of academic libraries in an intuitionistic fuzzy environment. Assessment of electronic service quality (ESQ) of libraries is significantly important according to their major roles. It should be noted that the ESQ has a significant impact on customer satisfaction, which improves organizational performance. Accordingly, low ESQ means waste of organizational resources and poor user satisfaction. So, there is a dire need to reflect reasons inducing failure modes in academic library ESQ. Thus, investigation of failure modes affecting academic library ESQ is highly important. One solution in this area is utilization of the intuitionistic fuzzy (IF) failure mode and effects analysis (FMEA) as one of the widely used methods for prediction and identification of failure modes.

The present study in terms of objective is applied and in terms of the type of method is descriptive-analytical. The research sample included four experts of Yazd academic Libraries (Iran). To collect data, three types of questionnaires were distributed among experts. The purpose of the first questionnaire was to identify and reach an agreement on e-library failure modes. Type II questionnaire was used to determine the importance of identified risk factors and Type III questionnaire was used to prioritize the factors.

Results indicate that the difficulty of using websites, lack of provided information feedback to users and lack of links on the website to users' are the main priorities for improving ESQ in the studied academic libraries.

In this approach, the Intuitionistic fuzzy Elimination Et Choix Traduisant la REalité and technique for order of preference by similarity to ideal solution method were used to rank failure modes in academic library ESQ within the FMEA framework.]

Research studies on electronic service quality (ESQ) have presented heterogeneous findings, with distinct effects of mediators and moderators, for instance. Hence, the purpose of this study is to present a systematic review and a quantitative integration of the main findings regarding the attributes and effects of ESQ.

A meta-analysis was conducted of 134 studies regarding ESQ. Based on the extant literature, authors propose a conceptual model that review quality attributes, meta-analyze their effects on general quality, perceived value, satisfaction, trust and loyalty and test the moderation of three contextual variables (i.e. mobile vs nonmobile device, online shopping vs pure service; specific site vs Internet).

Direct effects indicate that all proposed associations are significant, but with high variability, thus suggesting moderating effects. For instance, (1) type of device used by the customer, (2) type of service under analysis and (3) unit of analysis (i.e. site vs Internet) affect the relationship between quality attributes and satisfaction. This study also supported perceived value and satisfaction as relevant mediators in the link quality → loyalty.

This study analyses the general attributes of the ESQ construct, without the restriction of a specific model or type of service, and then tested the influence of the context. This study also shows that a substantial portion of the quality effect is transferred to loyalty through perceived value and customer satisfaction.

Based on service-dominant logic (SDL) and related perspectives, which suggest that value is co-created through the integration of resources, the purpose of this study is to propose a model which considers two value co-creation sources: firm resources, in the form of process electronic-service quality (ESQ) and outcome ESQ, and consumer resources, as represented by consumer expertise and its antecedents (i.e. social expertise and Internet skills). The effect of product type on the relationship between both co-creation sources, and the value is analyzed.

This study adopts a post-positivist approach. The study begins with cause and effect thinking to build a literature-driven model. Subsequently, pre-existent measures are adapted to the research context, and a Web-based questionnaire is built. The survey administration process yields 1,024 usable responses from Spanish Internet shoppers. To analyze the validity and reliability of the proposed scales and test the relationships hypothesized, the multivariate statistical techniques confirmatory factor analysis and structural equation modeling are used.

For low-outlay/high-frequency (LO/HF) products, consumers rely more on their own resources, and expertise is more important than process and outcome quality. For high-outlay/low-frequency (HO/LF) products, however, firm resources have a stronger impact.

The study findings may be useful to design e-commerce strategies combining specific ESQ and expertise-related policies according to the type of product offered by the e-service provider.

The empirical study reported here confers similar salience to both consumer resources and firm resources to explain value perception, which is unusual. This is the first study addressed to explain perceived value in a business-to-consumer e-commerce context by jointly considering firm resources (process ESQ and outcome ESQ), consumer resources (expertise) and product type. The moderating effect of product type is consistent with insights from prior marketing research but counterintuitive. It could be thought that expertise should be more important for HO/LF products, which is contrary to the results of this study.

To meet energy demand and tackle the challenges posed by global warming, Bagasse-based Cogeneration Power Generation (BCPG) plant in sugar mills have tremendous potential due to large-scale supply of renewable fuel called bagasse. To meet this goal, an integrated framework has been proposed for analyzing performance issues of BCPG.

Intuitionistic Fuzzy Lambda-Tau (IFLT) approach was implemented to compute various reliability parameters. Intuitionistic Fuzzy Failure Mode and Effect Analysis (IF-FMEA) approach has been implemented for studying risk issues results in decrease in plant's availability. Moreover, IF- Technique for Order Performance by Similarity to Ideal Solution (IF-TOPSIS) is implemented to verify accuracy of IF-FMEA approach.

For membership and non-membership functions, availability decreases to 0.0006% and 0.0020% respectively for spread ±15% to ±30%, and further decreases to 0.0127% and 0.0221% for spread ±30% to ±45%. Under risk assessment failure causes namely Storage tank (ST3), Valve (VL6), Transfer pump (TF8), Deaerator tank (DT11), High pressure heater and economiser (HP15), Boiler drum and super heater (BS22), Forced draft and Secondary air fan (FS25), Air preheater (AH29) and Furnace (FR31) with Intuitionistic Fuzzy Hybrid Weighted Euclidean Distance (IFHWED) based output scores – 0.8988, 0.9752, 0.9400, 0.8988, 0.9267, 1.1131, 1.0039, 0.8185, 1.0604 were identified as the most critical failure causes.

Reliability and risk analysis results derived from IFLT and IF-FMEA approaches respectively, to address the performance issues of BCPG is based on the quantitative and qualitative data collected from the industrial experts and maintenance log book. Moreover, to take care of hesitation in expert's knowledge, IF theory-based concept is incorporated so as to achieve more accuracy in analysis results. Reliability and risk analysis results together will be helpful in analyzing the performance characteristics and diagnosis of critical failure causes, which will minimize frequent failure in BCPG.

The framework will help plant managers to frame optimal maintenance policy in order to enhance the operational aspects of the considered unit. Moreover, the accurate and early detection of failure causes will also help managers to take prudent decision for smooth operation of plant.

The results obtained ensure continuous operation of plant by utilizing the bagasse as fuel in boiler and also mitigate the wastages of fuel. If this bagasse (green fuel) is not properly utilized, there remains a dependency on coal-based power plants to meet the power demand. The results obtained are useful for decreasing dependency on coal, and promoting bagasse as the green, and alternative fuel, the emission by burning of these fuels are not harmful for environment and thereby contribute in preventing the environment from harmful effect of GHGs gases.

IFLT approach has been implemented to develop reliability modeling equations of the BCPG unit, and furthermore to compute various reliability parameters for both membership and non-membership function. The ranking results of IF-FMEA are compared to IF-TOPSIS approach. Sensitivity analysis is done to check stability of proposed framework.

This study aims to understand the antecedent of trust towards government-to-business (G2B) service in Indonesia. Trust will be viewed through four aspects, namely, cognition-based trust, personality-oriented trust, affect-based trust and experience–based trust. Then, these antecedents of trust were examined as the factors of continuance intention by extending the expected confirmation theory (ECT).

Data were collected through a quantitative approach, and 389 respondents were involved in the study. The respondents are the investors who represent their organization which uses e-government service to report their investment activities to the Investment Coordinating Board of Indonesia. Data were analyzed using partial least square structural equation modelling approach with WarpPLS 4.0.

The result shows that factors that determine a user’s trust in government online service are service quality, trust towards government entity, recommendation to use the service and user’s habit of using the service. Factors that do not determine a user’s trust in government online service is a disposition to trust. Another finding is that a user’s trust on an online service does not directly influence his/her continuance of use. Trust will impact the continuance of use through perceptions of benefits and perceived satisfaction of using the online service.

ECT is applicable in G2B process. Organizations have a perception of benefit while using a public e-service and confirm the perception through their experience while using an e-service to gain satisfaction, and this will encourage them to continue using the service.

To improve organizations’ trust on the e-service, the government needs to improve the e-service quality (by evaluating the efficiency, privacy, user support, reliability and information quality), investor familiarity of the system (training or socialization), investor trust on the government entity (improve the employee competence) and recommendation on using the system.

Trust dimension has also been studied to be a factor that influences the intention or continuance of use of technology; however, it has rarely been studied towards its effect in the ECT’s context. In e-government study, there are various studies related to government-to-citizen (G2C) concept. However, the research in government-to-business (G2B) area that has not been explored much.

This paper aims to explore impact of technology readiness (TR) on e-service quality (ESQ) and effect of ESQ and TR on purchase intention (PI) and behavioral loyalty (BL) in the context of online shopping.

With the help of the existing literature, the authors propose a conceptual model. Questionnaire was designed to collect data, and analysis has been done using a final sample of 341 respondents.

The results show how TR has a significant impact on ESQ, PI and BL. Outcomes also highlight that only three dimensions of ESQ have a positive impact on both PI and BL. System availability dimension of ESQ impacts neither PI nor BL. Therefore, TR and ESQ together play a vital role as enablers in influencing BL and PI in online shopping context.

The study results will serve as a guide to business-to-consumer e-commerce players and help them to determine how TR and ESQ dimensions will help them to build BL and PI for online shopping.

This is one of the first studies that takes into consideration both TR and ESQ and check how they impact PI and BL. Also, in the Indian context, it is an under-researched area and tries to fulfill this gap.

Services provided through the internet (e‐services) are typically offered as part of a broader Multi‐Channel (MC) service package, combining these services with services delivered through traditional channels (e.g. phone, physical facilities). Customers of e‐services display heterogeneity in channel use, ranging from customers with a high Degree of Focus on the Internet (DFI) channel (internet‐oriented customers) to customers with a low DFI (low focus on the internet and strong reliance on traditional channels). The purpose of this study is to examine whether a customer's DFI moderates the relationship between e‐service quality (eSQ) and e‐loyalty behavioral intentions in an MC e‐service.

Perceptual and objective data were collected from multiple sources in a major retail MC e‐banking service (survey of online customers, transactional data and customer database).

First, there is high diversity in DFI among e‐service customers; second, a customer's DFI negatively moderates the quality‐loyalty relationship.

The study should be extended to other types of e‐services.

eSQ seems to be a more important driver of e‐loyalty behavioral intentions for low DFI customers than for high DFI (internet‐oriented) customers. Different strategies may need to be employed to drive retention across customers with different levels of DFI. Specifically, driving e‐loyalty among internet‐oriented customers may require complementing eSQ investments with additional retention mechanisms (e.g. building communities or creating switching barriers). DFI should be recognized as a useful and readily available customer segmentation variable for devising loyalty strategies.

The study pioneers the examination of the impact of channel use on the quality‐loyalty relationship. It breaks new ground in proposing DFI as a relevant customer segmentation variable for e‐service research and practice. External validity is enhanced by the use of objective (rather than self‐reported), real‐world data to measure customer channel use.

This study aims to conceptualise a customer-centric model based on an online customer experience (OCE) construct, mediated by e-loyalty (EL) and e-trust (ET), to improve the continuous usage intention (CUI) of Indian digital banks from Generation Y and Z perspectives.

This study used an online survey method to gather data from a sample of 466 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using PLS-SEM to further study the research hypotheses.

The main factors that determine digital banks’ OCE are perceived enjoyment, e-service quality, information quality and e-convenience. Additionally, relevant constructs were evaluated using an importance-performance map analysis.

This study used convenience sampling for the urban population using digital banking; therefore, the outcome may be generalised to a limited extent. It would be valuable to imitate studies in other countries to strengthen digital banking further.

There is a lack of research on digital banking and OCE in India; thus, this study helps rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between OCE, EL, ET and the bottom line of financial institutions, using these factors as dependent variables instead of traditional measures.

The purpose of this paper is to explore the quality factors influencing customer satisfaction in the electronic commerce (e-commerce) context using a triadic view of customer-e-retailer-third-party logistics provider, and to investigate the impacts of service quality on customer satisfaction and loyalty in the e-retailing supply chain.

A literature review is used to determine the conceptual model and develop the measurement scales. Data are collected through a web survey mainly conducted in China. Structural equation modeling is used to analyze the collected data and test the research hypotheses.

The results verify the proposed service quality framework, consisting of two dimensions (electronic service (e-service) quality and logistics service quality), in the e-commerce context. The results indicate that e-service quality and logistics service quality are strongly linked to customer satisfaction; that is, with e-service and logistics service, respectively. e-Service quality positively impacts customer satisfaction with logistics services, but logistics service quality negatively impacts customer satisfaction with e-services. Moreover, customer satisfaction with e-services is positively associated with customer loyalty for both e-services and logistics services. However, customer satisfaction with logistics services has no direct impact on related customer loyalty, and negatively impacts customer loyalty with e-services.

The survey focusses only on China; future data should verify whether different cultural backgrounds will impact the research results.

The results show that e-retailers should not only focus on e-service quality, but also logistics service quality, which is critical to the success of e-commerce.

A two-dimensional (e-service and logistics) service quality framework is proposed and empirically assessed in the context of the e-retailing supply chain. These impacts of the path of service quality on customer satisfaction and loyalty are highlighted.

This paper aims to examine the relative importance of country of brand (COB), country of service delivery (COSD) and country of person (COP) in consumer evaluation of hybrid services.

Using data (N = 1,071) from Australia, Indonesia and Singapore, a conjoint analysis experimental design explored empirically the importance of country of origin (COO) effects in three service contexts: search, experience and credence.

The analysis reveals that the relative importance of COP was the highest for credence services, while COB was the strongest for experience services.

For firms operating offshore, companies must understand that the COO construct is multi-dimensional for services, as it is for tangible products and not limited only to COB as traditionally thought. At least two other distinct dimensions – COSD and COP – can play significant roles as predictors of service quality expectations. Companies must consider the implications of service type, according to the search-experience-credence continuum to inform staffing decisions and managing customer expectations.

This research contributes to the literature by extending the understanding of country image effects in the context of hybrid service provisions, particularly in the view of customer expectations of services with multiple country-of-origins. Although there have been several studies examining the effects of COO on services evaluation, no empirical study has examined the effects of multiple COOs simultaneously from the perspective of location where the service is delivered (COSD) and individuals who deliver the service (COP), in addition to the effect of COB origin.