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Journal ArticleDOI

Attribute-based design perceptions and consumer-brand relationship: Role of user expertise

01 Dec 2016-Journal of Business Research (Elsevier)-Vol. 69, Iss: 12, pp 5983-5992
TL;DR: In this article, a measure of product design perception as well as resultant experience is developed to explore how design can be a pertinent source of strong consumer-brand relationship, operationalized as consumer-based brand equity.
About: This article is published in Journal of Business Research.The article was published on 2016-12-01. It has received 26 citations till now. The article focuses on the topics: Brand relationship & User experience design.
Citations
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Journal ArticleDOI
TL;DR: It is found that consumers feel more satisfied with the usefulness of a smartwatch than enjoyment/joy, which implies that users' continuance intention not only hinges on perceived values, but also on consumer innovativeness.

261 citations

Journal ArticleDOI
TL;DR: A novel extended expectation–confirmation model is proposed which explores the impact of pre-adoption expectancies and confirmation on post-ad adoption satisfaction and continuance intentions and guides the M-wallet application developers to enhance user satisfaction andContinance intentions by meeting their pre- adoption expectations through consumption-driven confirmation.

91 citations

Journal ArticleDOI
15 Dec 2017
TL;DR: In this paper, the authors explore how value is co-created in crowdsourcing business models and find that both experiential and identity value creation are positively impacted by perceived control, which reflects contributors' perception of co-creation governance and fosters identification.
Abstract: This paper explores how value is co-created in crowdsourcing business models. We envision crowd contributors as a special kind of non-consumer multi-role stakeholder. Our model suggests that the value they derive from monetary rewards and other expected benefits of participation is mediated by experiential value and identity value. The latter is driven by contributors’ identification with a crowdsourcing platform as a virtual ‘space’ for co-creation, and by the peer identification with other contributors. Both experiential and identity value creation are positively impacted by perceived control, which reflects contributors’ perception of co-creation governance and fosters identification.

21 citations

Journal ArticleDOI
TL;DR: Zhang et al. as mentioned in this paper built and validated a measurement scale of perceived design affordance, particularly in the context of high-tech products, whose global spread is driven by fierce competition and constantly evolving consumer expectations.

20 citations

Journal ArticleDOI
23 Aug 2018
TL;DR: The study of consumer buying behavior is essential for marketers to understand the key elements such as what is purchased from where it is purchased, the quantity of purchase, how much mo... as mentioned in this paper.
Abstract: The study of consumer buying behaviour is essential for marketers to understand the key elements such as what is purchased, from where it is purchased, the quantity of purchase, how much mo...

19 citations


Cites background from "Attribute-based design perceptions ..."

  • ...Mishra (2016) studied consumer behaviour and identified reason for customers to love certain brands....

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References
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Journal ArticleDOI
TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
Abstract: In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.

80,095 citations


"Attribute-based design perceptions ..." refers background in this paper

  • ...It is quite clear that experience is amediator for developing brand equity from design perception, as the direct path from design perception to brand equity is found to be insignificant for all the three samples (Baron and Kenny, 1986)....

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Journal ArticleDOI
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Abstract: This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index presentation strategy, which includes using the maximum likelihood (ML)‐based standardized root mean squared residual (SRMR) and supplementing it with either Tucker‐Lewis Index (TLI), Bollen's (1989) Fit Index (BL89), Relative Noncentrality Index (RNI), Comparative Fit Index (CFI), Gamma Hat, McDonald's Centrality Index (Mc), or root mean squared error of approximation (RMSEA), various combinations of cutoff values from selected ranges of cutoff criteria for the ML‐based SRMR and a given supplemental fit index were used to calculate rejection rates for various types of true‐population and misspecified models; that is, models with misspecified factor covariance(s) and models with misspecified factor loading(s). The results suggest that, for the ML method, a cutoff value close to .95 for TLI, BL89, CFI, RNI, and G...

76,383 citations


"Attribute-based design perceptions ..." refers background in this paper

  • ...Analysis depicts that the fit measures obtained at the partial aggregation level are satisfactory, explaining the existence of thesefive different dimensions of design perception (Hu and Bentler, 1999)....

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  • ...…are reasonable, at NFI = 0.88; IFI = 0.90; CFI = 0.89; and SRMR = 0.06 for sample 1, NFI = 0.89; IFI = 0.91; CFI = 0.91; and SRMR = 0.05 for sample 2 of the smartphones and significantly improved for the third sample at NFI = 0.93; IFI = 0.94; CFI = 0.94; and SRMR = 0.05 (Hu and Bentler, 1999)....

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  • ...50) and overall fit measures are reasonable (Hu and Bentler, 1999; Tabachnick and Fidell, 2007)....

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Book
21 Jul 2011
TL;DR: Structural Equation Models: The Basics using the EQS Program and testing for Construct Validity: The Multitrait-Multimethod Model and Change Over Time: The Latent Growth Curve Model.
Abstract: Psychology is a science that advances by leaps and bounds The impulse of new mathematical models along with the incorporation of computers to research has drawn a new reality with many methodological progresses that only a few people could imagine not too long ago Such progress has no doubt revolutionized the panorama of research in the behavioral sciences Structural Equation Models are a clear example of this Under this label are usually included a series of state-of-the-art multivariate statistical procedures that allow the researcher to test theoryguided hypotheses with clearly confi rmatory ends as well as to establish causal relations among variables Confi rmatory factor analysis, the study of measurement invariance, or the multitraitmultimethod models are some of the procedures that stem from this methodology In this sense, it would be diffi cult to fi nd a scientifi c journal that publishes empirical works in psychology that does not address some of these issues, so their current transcendence is undeniable The manual written by the Full Professor of the University of Ottawa, Barbara M Byrne, is a link in a series of books that address this topic Throughout her long academic trajectory, Professor Byrne developed interesting and popular work focused on bringing the researcher and the professional layman—and not so layman—closer to the diverse statistical programs available on the market for data analysis from the perspective of structural equation models (ie, LISREL, AMOS, EQS) (Byrne, 1998, 2001, 2006) Bearing this in mind, the main goal of this work is to introduce the reader to the basic concepts of this methodology, in a simple and entertaining way, avoiding mathematical technicisms and statistical jargon For this purpose, we used the statistical program Mplus 60 (Muthen & Muthen, 2007-2010), an extremely suggestive software that incorporates interesting applications The authoress provides a practical guide that leads the reader through illustrative examples of how to proceed step by step with the Mplus, from the initial specifi cations of the model to the interpretation of the output fi les On the one hand, we underline that the data used proceed from prior investigations and can be consulted in the Internet, offering the reader the possibility of practicing with them (http://wwwpsypresscom/sem-with-mplus/ datasets/); on the other hand, updating the information with novel and apt bibliographic references allows the reader to study in more depth the diverse topics that are presented in the manual, if he or she so desires The book consists of four sections, with a total of 12 chapters The fi rst section, Chapters 1 and 2, addresses introductory terms related to structural equation models and working with the Mplus program at a user-level The second unit focuses on data analysis with a single group In Chapter 3, the factor validity of the self-concept is tested by means of confi rmatory factor analysis In Chapter 4, the authoress performs a fi rst-order confi rmatory factor analysis, in which she examines the validity of the scores of the Maslach Burnout Inventory (MBI) in a sample of teachers In Chapter 5, the internal structure of the scores on the Beck Depression Inventory-II is analyzed by means of second-order confi rmatory factor analysis in a sample of Chinese adolescents In the next chapter, the complete model of structural equations is tested, and the authoress examines the causal relation established between diverse variables (ie, work climate, self-esteem, social support) and Burnout The third section of the manual is, in my opinion, the most interesting, not only because of the expansion of the study of measurement invariance in recent years but also because of the expansion it may possibly have in the future In this section, Professor Byrne goes into multigroup comparisons Specifi cally, in Chapter 7, she examines the factor equivalence of the MBI in two samples of teachers by means of the analysis of covariance structures In this chapter, she introduces relevant concepts, such as types of invariance (confi gural, metric, and strict) or the invariance of partial measurement In Chapter 8, she also analyzes measurement invariance, using for this purpose the analysis of mean and covariance structures This analysis, in comparison to the analysis of covariance structures, allows contrasting the latent means of two or more groups With this goal, she verifi es whether there is measurement invariance between the scores on the Self-description Questionnaire-I in Nigerian and Australian adolescents In Chapter 9, she proposes a complete model of structural equations in which she tests the causal structure through the procedure of cross validation Lastly, in the fourth section, she reveals three very interesting topics, that are also up-to-date and that, to some degree, go beyond the initial goal of the book, such as the multitrait-multimethod models, latent growth curves, and multilevel models Summing up, the work “Structural Equation Modeling with Mplus: Basic concepts, applications, and programming” is of enormous interest and utility for all professionals of psychology and related sciences who, without having exhaustive knowledge of the details of structural equation models, wish to test their hypothetical models by means of the Mplus program No doubt, this is a reference manual, a must-read that is accessible and that has a high degree of methodological rigor We hope that the readers

16,616 citations


"Attribute-based design perceptions ..." refers background or methods in this paper

  • ...Please cite this article as: Mishra, A., Attribute-based design perceptions an ness Research (2016), http://dx.doi.org/10.1016/j.jbusres.2016.05.012 constraints involvingmeasurement weights and structural covariances, implying measurement model invariance (Byrne, 2009)....

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  • ...012 constraints involvingmeasurement weights and structural covariances, implying measurement model invariance (Byrne, 2009)....

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Book
01 Jan 2014
TL;DR: The Second Edition of this practical guide to partial least squares structural equation modeling is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
Abstract: With applications using SmartPLS (www.smartpls.com)—the primary software used in partial least squares structural equation modeling (PLS-SEM)—this practical guide provides concise instructions on how to use this evolving statistical technique to conduct research and obtain solutions. Featuring the latest research, new examples, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.

13,621 citations


"Attribute-based design perceptions ..." refers background or methods in this paper

  • ...For functional design, a check of absence of multicollinearity signifies item reliability (Hair et al., 2013), and for each of seven items, for both samples, none of the variance inflation factor (VIF) values is above 3.00 (Diamantopoulos and Siguaw, 2006)....

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  • ...Both item weights and loadings are found significant, implying non-redundancy of items (Hair et al., 2013)....

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  • ...For functional design, a check of absence of multicollinearity signifies item reliability (Hair et al., 2013), and for each of seven items, for both samples, none of the variance inflation factor (VIF) values is above 3....

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Book
01 Nov 2000
TL;DR: In this article, the EQS program is used to test the factorial verifiability of a theoretical construct and its invariance to a Causal Structure using the First-Order CFA model.
Abstract: Contents: Part I: Introduction. Structural Equation Models: The Basics. Using the EQS Program. Part II: Single-Group Analyses. Application 1: Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model). Application 2: Testing for the Factorial Validity of Scores From a Measuring Instrument (First-Order CFA Model). Application 3: Testing for the Factorial Validity of Scores from a Measuring Instrument (Second-Order CFA Model). Application 4: Testing for the Validity of a Causal Structure. Part III: Multiple-Group Analyses. Application 5: Testing for the Factorial Invariance of a Measuring Instrument. Application 6: Testing for the Invariance of a Causal Structure. Application 7: Testing for Latent Mean Differences (First-Order CFA Model). Application 8: Testing for Latent Mean Differences (Second-Order CFA Model). Part IV: Other Important Topics. Application 9: Testing for Construct Validity: The Multitrait-Multimethod Model. Application 10: Testing for Change Over Time: The Latent Growth Curve Model. Application 11: Testing for Within- and Between-Level Variance: The Multilevel Model.

13,439 citations