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Nandankar S, Sachan A, Adhikari A, Mukherjee A. Developing and validating e-marketplace service quality model in B2G e-commerce settings: a mixed-methods approach. INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT 2023. [DOI: 10.1108/ijopm-05-2022-0333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
PurposeThe research aims to qualitatively explore e-marketplace service quality (EMSQ) from the perspective of an industrial buyer as a sole decision-maker. It further intends to quantitatively examine its impact on the industrial buyer's perceived value (PV), overall satisfaction (SAT), and e-loyalty (ELOY) in the context of business-to-government (B2G) e-commerce.Design/methodology/approachThe research used an exploratory sequential mixed-method design. A qualitative exploratory study of EMSQ was conducted using a Straussian grounded theory (GT) technique, followed by an explanatory quantitative study using PLS-SEM to evaluate causal links between various research variables.FindingsIn the area of e-services, the investigation found that the hierarchical structure of EMSQ encompasses six broadly applicable dimensions and one B2G context-specific dimension of the e-governance process quality. The study also reinforced previous research findings in the B2C and B2B e-commerce domains, highlighting that e-service quality positively impacts online buyer's PV, SAT and ELOY.Research limitations/implicationsThis research contributed to the area of e-service operations by developing and validating the EMSQ model in the B2G e-commerce settings. Further, it has opened up new research avenues in B2G e-commerce.Practical implicationsThe findings from this research highlighted that e-service operations managers should focus on usability, technological concerns, product/vendor quality concerns, customer support reliability, along with effective e-governance, ordering and logistics processes for e-business success. It also provides policymakers with guidelines for making B2G e-marketplaces sustainable.Originality/valueTo the best of the author's knowledge, this is the first study employing the GT and PLS-SEM techniques to explore EMSQ from the viewpoint of industrial buyers in B2G e-commerce. The study contributed to prior literature by proposing and validating the hierarchical EMSQ model.
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Mamta, Kumar V. A systematic review of library service quality studies: Models, dimensions, research populations and methods. JOURNAL OF LIBRARIANSHIP AND INFORMATION SCIENCE 2023. [DOI: 10.1177/09610006221148190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
The study systematically reviews the studies based on a search of published articles from 2010 to 2021 on library service quality with the aim of determining which models of service quality are the most commonly used by librarians as a means of measuring service quality. In addition, the paper makes an effort to determine the variety of dimensions by which these qualitative evaluations were carried out, the types of libraries that have reported such qualitative studies, and the data collection strategies (research population, sample size and data collection instruments) adopted by the authors. The findings indicate that the SERVQUAL and LibQual models are the most frequently adopted models. The empathy, reliability, tangible, assurance, responsiveness, effect of library, information control and library as place are the prominent dimensions. The researchers rely heavily on questionnaire-based survey research methods with sample sizes of less than 100 respondents, mostly reported in academic libraries.
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Affiliation(s)
- Mamta
- Babasaheb Bhimrao Ambedkar University, India
| | - Vinit Kumar
- Babasaheb Bhimrao Ambedkar University, India
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Evaluation of quality of online shopping services in times of COVID-19 based on E-S-QUAL model and Fuzzy TOPSIS method. Soft comput 2022; 27:7497-7511. [DOI: 10.1007/s00500-022-07696-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/18/2022] [Indexed: 12/15/2022]
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Dandis AO, Wallace-Williams DM, Ni AK, Wright LT, Abu Siam YI. The effect of brand experiences and relational benefits on loyalty in the fast-food restaurants. TQM JOURNAL 2022. [DOI: 10.1108/tqm-03-2022-0091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe aim of this study is to examine the role of relational benefits and brand experience measurements on willingness to pay more (WPM), effects of word of mouth (WOM) and repurchase intention (RI) in fast-food restaurants (FFR).Design/methodology/approachEmploying an online questionnaire survey with a sample size of 503 respondents, the quantitative methodology included multiple regression and factor analysis to facilitate the analyses of data.FindingsRelational benefits and their dimensions (confidence, special treatment and social benefits) found to positively impact WPM, WOM and RI. With reference to brand experiences, the current study found that behavioural and intellectual experiences have significant and positive effects on WPM, WOM and RI. Surprisingly, no positive significance was identified between sensory experiences and WPM, WOM and RI.Practical implicationsThe findings show that relational benefits and brand experience dimensions play an essential role in improving brand loyalty.Originality/valueThe current study subscribes to the concept of relationship marketing theory, suggesting that loyalty to FFRs can be enhanced by offering customers relational benefits and augmenting their brand experiences.
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Kalia P, Paul J. E-service quality and e-retailers: Attribute-based multi-dimensional scaling. COMPUTERS IN HUMAN BEHAVIOR 2021. [DOI: 10.1016/j.chb.2020.106608] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Agrawal S, Singh V, Upadhyay Y. Structural model of information quality framework to e-agri supply chain. JOURNAL OF ADVANCES IN MANAGEMENT RESEARCH 2021. [DOI: 10.1108/jamr-06-2020-0113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeDue to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework.Design/methodology/approachSurvey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct.FindingsThe results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.Practical implicationsThe findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain.Originality/valueThe study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.
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