Purpose -Many important constructs of business and social sciences are conceptualized as composites of common factors, i.e. as second-order constructs composed of reflectively measured first-order constructs. Current approaches to model this type of second-order construct provide inconsistent estimates and lack a model test that helps assess the existence and/or usefulness of a second-order construct. The purpose of this paper is to present a novel three-stage approach to model, estimate, and test second-order constructs composed of reflectively measured first-order constructs. Design/methodology/approach -The authors compare the efficacy of the proposed three-stage approach with that of the dominant extant approaches, i.e. the repeated indicator approach, the two-stage approach, and the hybrid approach by means of simulated data whose underlying population model is known. Moreover, the authors apply the three-stage approach to a real research setting in business research. Findings -The study based on simulated data illustrates that the three-stage approach is Fisher-consistent, whereas the dominant extant approaches are not. The study based on real data shows that the three-stage approach is meaningfully applicable in typical research settings of business research. Its results can differ substantially from those of the extant approaches. Research limitations/implications -Analysts aiming at modeling composites of common factors should apply the proposed procedure in order to test the existence and/or usefulness of a second-order construct and to obtain consistent estimates.
More and more research is dedicated to address the phenomenon of online word-of-mouth (WOM).Concerning electronic WOM, three major underlying motives can be differentiated: opinion seeking, opinion giving and opinion passing (Flynn et al. 1996, Sun et al. 2006. The main aim of the research is to analyse the relationship between these three dimensions and the level of customer satisfaction.The research is based on a representative sample of 1000 respondents living in Hungary. According to the hypothesized Structural Equation Model (SEM), we can conclude that online opinion seeking behaviour has a significant positive impact on levels of customer satisfaction, as well as on opinion giving and opinion passing. This implies that opinion leaders not just share, but also collect enormous amounts of information about products and services and raise their expectations according to feedback. By doing so, their prior expectations are in relation to the true customer value of online stores and products. This means that customer satisfaction -measured using the disconfirmation paradigm -will reach a higher level, so it is advisory for online retailers to encourage customers to give feedback, write reviews, because it will affect the customer satisfaction level in a positive manner.
Az on-line vásárlás a kiskereskedelem napjaink egyik legdinamikusabban fejlődő területe. Az elmúlt években számos tanulmány foglalkozott az elektronikus kiskereskedelem marketingszempontú vizsgálatával, azonban ez idáig kevesen foglalkoztak a termékeket és szolgáltatásokat vásárlók elkülönült vizsgálatával. A szerzők célja, hogy egy kvantitatív kutatás alapján a minőségészleléssel és elégedettséggel összefüggésben megvizsgálják az újravásárlási, illetve a továbbajánlási szándék alakulását konkrét e-kiskereskedelmi vásárlások – termékek vagy szolgáltatások vásárlása – esetében. Eredményeik alapján megállapítható, hogy a szolgáltatást on-line vásárlók esetében az elégedettség hatása a továbbajánlási és újravásárlási szándékra alacsonyabb szintet mutat, mint a terméket vásárlók esetében. A minőségészleléshez kapcsolódó dimenziók között is megfigyelhető egy releváns eltérés: a terméket vásárlók esetében az ügyfélszolgálat relevanciájában a minőségészlelés során, kvázi, azokban az esetekben, amikor a vásárlás után hátra van még a tényleges kiszállítás vagy kézhezvétel. A rendelkezésükre álló minta nagysága miatt elemzésük során a varianciaalapú modellezést (PLS-SEM) használták.
Purpose The perceived electronic-service quality (e-SQ) has become a relevant research area, not only in developed but also in smaller, less-developed countries. The purpose of this paper is to provide a description of an analysis into the relationship of the dimensions of perceived e-SQ and satisfaction as well as WOM intention in case of an online bookstore in Hungary where technical development and internet penetration is emerging; however, it is developing from an economic perspective. Beyond this a potential segmentation is introduced in the Hungarian market. Design/methodology/approach The direct effect of perceived e-SQ’s dimensions on satisfaction and on traditional WOM were analysed using the PLS-SEM method, which was followed by the segmentation approach. The paper also demonstrates differences of the identified consumer segments, using multivariate analysis of variance. Findings According to the research only the dimension of efficiency and responsiveness have a significant positive effect on satisfaction, and beside these the quality perception of fulfilment has a significant influence on WOM intention. Using the relevant latent variable scores segmentation was conducted and four clusters were identified. Originality/value Due to peculiarities of e-services, quality measurement needs a constant revision and adoption. Extent amount of research has been dedicated to analyse the relationship of quality and satisfaction, but the direct effect of relevant quality dimensions on word-of-mouth intention is a new research field. Segmenting customers based on latent variable scores of the proposed model has not been conducted before in case of an online bookstore in Hungary. According to the results the evaluation of the technology-based components has the greatest effect on satisfaction and WOM intention. However, web-shops managers should focus not only on online characteristics but also on offline, human-based interactions and the service quality of their delivery partners.
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