scholarly journals   Determinants of brand equity for credence goods: Consumers’ preference for country origin, perceived value and food safety

2012 ◽  
Vol 58 (No. 7) ◽  
pp. 299-307 ◽  
Author(s):  
R. Kim
Keyword(s):  
Food Safety ◽  
Brand Equity ◽  
Latent Variable ◽  
Structural Equation ◽  
Brand Management ◽  
Dominant Role ◽  
Perceived Value ◽  
Equation Modeling ◽  
Credence Goods ◽  
Credence Attributes

Food safety is an important credence attribute that is increasingly being emphasized by the food industry, regulatory bodies and the consumers around the world. Consumers cannot predict ex ante performance of the product based on the credence attributes due to information asymmetry, and they need a signal that they can trust in purchasing a food product with high credence attributes. Consumers are likely to use a brand name as a surrogate of the quality and the safety guarantee in purchasing food products with credence attributes. An effective brand management appears to be a major prerequisite for the creation of superior customer value (i.e. brand equity) and successful positioning of credence goods. This study empirically validates four determinant conceptualization of brand equity for credence goods by utilizing the Latent Variable Structural Equation Modeling (LVSE). Findings support the four factor model of brand equity for credence goods. The main objective of this study is to illustrate how consumers place value on major product cues in making purchasing decision of credence products. The findings show that brand loyalty and attribute based components (i.e. perceived value) appears to have the dominant role in determining a brand’s equity.  

New Conjoint Approaches to Scaling Brand Equity and Optimising share of Preference Prediction

2015 ◽  
Vol 57 (5) ◽  
pp. 701-725 ◽  
Author(s):  
Hervé Guyon ◽  
Jean-François Petiot
Keyword(s):  
Structural Equation Modeling ◽  
Conjoint Analysis ◽  
Brand Equity ◽  
Repeated Measures ◽  
Latent Variable ◽  
Structural Equation ◽  
Probabilistic Models ◽  
Equation Modeling ◽  
New Approach ◽  
First Choice

Ratings-based conjoint analysis suffers two problems: the distortion raised by consumer perceptions of brand equity, and the lack of efficiency of probabilistic models for estimating preference shares. This article proposes two new approaches to scale customer-based brand equity using repeated measures and structural equation modeling and to estimate the share of preferences on the basis of a randomized first choice. The outcome is a new tool to predict accurate preference shares, taking into account product utilities (estimated by rating-based conjoint analysis) and the brand equity related to product attributes (estimated as a latent variable with structural equation modeling). An example with three products illustrates this new approach.

scholarly journals Optimizing Green Brand Equity: The Integrated Branding and Behavioral Perspectives

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110360
Author(s):  
Minh-Tri Ha
Keyword(s):  
Brand Equity ◽  
Structural Equation ◽  
Sampling Method ◽  
Brand Management ◽  
Environmental Concern ◽  
Equation Modeling ◽  
Cluster Sampling ◽  
Brand Relationships ◽  
Brand Knowledge ◽  
Society Today

A compelling question that constantly arises in our society today is “How do we build a healthy brand that is closely associated with environmental activities?” Enhancing green brand equity is among the answers. This article integrates consumer environmental values with brand knowledge and brand relationships to arrive at an integrated view of how green brand equity can be maximized. Our research employs a questionnaire-based survey to collect data from consumers of electronics products in Ho Chi Minh City using a cluster sampling method. A structural equation modeling method was used to validate the hypothetical relationships. Our analysis suggests that (a) attitudes toward green products and the environmental concern affect consumer’s associations with the green brand, followed by green brand equity and (b) an eco-friendly image and trust in the brand’s green commitments drive a competent green brand. Our article broadens the current understanding of green consumers’ behavior by providing a theoretical model that investigates the associations between brand relationships and consumers’ personal motives which are closely connected with green brand management. Altogether, this study presents a broad picture of green branding mechanisms.

Neuroimaging of Individual Differences: A Latent Variable Modeling Perspective

2018 ◽  
Author(s):  
Shelly Renee Cooper ◽  
Joshua James Jackson ◽  
Deanna Barch ◽  
Todd Samuel Braver
Keyword(s):  
Individual Differences ◽  
Individual Difference ◽  
Latent Variable ◽  
Structural Equation ◽  
Behavioral Measure ◽  
Equation Modeling ◽  
Latent Variable Modeling ◽  
Psychometric Theory ◽  
Human Connectome Project ◽  
Neuroimaging Data

Neuroimaging data is being increasingly utilized to address questions of individual difference. When examined with task-related fMRI (t-fMRI), individual differences are typically investigated via correlations between the BOLD activation signal at every voxel and a particular behavioral measure. This can be problematic because: 1) correlational designs require evaluation of t-fMRI psychometric properties, yet these are not well understood; and 2) bivariate correlations are severely limited in modeling the complexities of brain-behavior relationships. Analytic tools from psychometric theory such as latent variable modeling (e.g., structural equation modeling) can help simultaneously address both concerns. This review explores the advantages gained from integrating psychometric theory and methods with cognitive neuroscience for the assessment and interpretation of individual differences. The first section provides background on classic and modern psychometric theories and analytics. The second section details current approaches to t-fMRI individual difference analyses and their psychometric limitations. The last section uses data from the Human Connectome Project to provide illustrative examples of how t-fMRI individual differences research can benefit by utilizing latent variable models.

scholarly journals Postpartum depression symptoms in survey-based research: a structural equation analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Che Wan Jasimah Bt Wan Mohamed Radzi ◽  
Hashem Salarzadeh Jenatabadi ◽  
Nadia Samsudin
Keyword(s):  
Postpartum Depression ◽  
Latent Variable ◽  
Structural Equation ◽  
Depression Scale ◽  
Public Health Problem ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Postpartum Women ◽  
Unhealthy Food ◽  
High Level

Abstract Background Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women. Methods We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model. Results Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong. Conclusion The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.

scholarly journals Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

2021 ◽  
Author(s):  
Zhongqi Wang ◽  
Qi Han ◽  
Bauke de Vries ◽  
Li Dai
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Operations Management ◽  
Latent Variable ◽  
Structural Equation ◽  
Equation Modeling ◽  
Rail Transit ◽  
Land Use Patterns ◽  
Transit Services ◽  
The Relationship

AbstractThe identification of the relationship between land use and transport lays the foundation for integrated land use and transport planning and management. This work aims to investigate how rail transit is linked to land use. The research on the relationship between land use and rail-based transport is dominated by the impacts of rail projects on land use, without an in-depth understanding of the reverse. However, it is important to note that issues of operation management rather than new constructions deserve greater attention for regions with established rail networks. Given that there is a correspondence between land use patterns and spatial distribution of heavy railway transit (HRT) services at such regions, the study area (i.e., the Netherlands) is partitioned by the Voronoi diagram of HRT stations and the causal relationship between land use and HRT services is examined by structural equation modeling (SEM). The case study of Helmond (a Dutch city) shows the potential of the SEM model for discussing the rail station selection problem in a multiple transit station region (MTSR). Furthermore, in this study, the node place model is adapted with the derivatives of the SEM model (i.e., the latent variable scores for rail service levels and land use characteristics), which are assigned as node and place indexes respectively, to analyze and differentiate the integration of land use and HRT services at the regional level. The answer to whether and how land use affects rail transit services from this study strengthens the scientific basis for rail transit operations management. The SEM model and the modified node place model are complementary to be used as analytical and decision-making tools for rail transit-oriented regional development.

scholarly journals Senior Consumer Motivations and Perceived Value of Robot Service Restaurants in Korea

2021 ◽  
Vol 13 (5) ◽  
pp. 2755
Author(s):  
Min-Kyu Kwak ◽  
JeungSun Lee ◽  
Seong-Soo Cha
Keyword(s):  
South Korea ◽  
Low Income ◽  
Structural Equation ◽  
Perceived Value ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Consumer Innovativeness ◽  
Face To Face ◽  
Perceived Values ◽  
Level Group

This research empirically tested a theoretical model by defining senior customers’ intentions to use robot service restaurants emerging in South Korea. Non-face-to-face services have become increasingly important for seniors. Therefore, restaurant marketers should cater to senior customers’ needs by sustaining robot service restaurants. The study analyzed 243 questionnaires to verify the reliability and validity of the measurement items. The research hypotheses were examined using structural equation modeling (SEM). The suggested model comprised three stages: motivated consumer innovativeness (MCI), perceived value, and planned behavior (attitude, intention to use). The results revealed that senior customers’ perceived values positively influenced attitude and were enhanced by hedonically MCI (hMCI) and socially MCI. Moreover, the hedonic and social elements of motivation improved the attitude and usage intentions of robot service restaurants for senior customers. However, these relationships differed in terms of the income level of the customer groups. For the low-income senior-level group, hMCI was more influential on the perceived value. This study is meaningful because it analyzes the effect of MCI of seniors on the perceived value of robot service restaurants, which are growing rapidly in South Korea. It has empirically proved the moderating effect of different income groups, providing practical implications.

scholarly journals B2B service brand identity and brand performance

2015 ◽  
Vol 49 (7/8) ◽  
pp. 1139-1162 ◽  
Author(s):  
Darren Andrew Coleman ◽  
Leslie de Chernatony ◽  
George Christodoulides
Keyword(s):  
Significant Influence ◽  
Structural Equation ◽  
Brand Management ◽  
Brand Identity ◽  
Equation Modeling ◽  
Brand Performance ◽  
Content Type ◽  
Visual Identity ◽  
Service Brand ◽  
The Uk

Purpose – This paper aims to apply the business-to-business (B2B) Service Brand Identity (SBI) scale to empirically assess the influence of service brand identity on brand performance for the first time. Design/methodology/approach – Based on data collected from 421 senior marketing executives, this paper applies the B2B SBI and structural equation modeling to fulfill the above purpose. Findings – Brand personality and human resource initiatives have a positive and significant influence on brand performance. Corporate visual identity, in addition to an employee and client focus, has an insignificant impact on performance. Consistent communications have a negative and significant influence on brand performance. Research limitations/implications – Data were only collected from executives in the UK. This research would benefit from replicative studies. Practical implications – This research empirically establishes the brand management activities that drive brand performance. Originality/value – This is the first empirical study to assess the influence service brand identity has on brand performance.

Attributional Style as a Predictor of Hopelessness Depression

2006 ◽  
Vol 20 (4) ◽  
pp. 447-458 ◽  
Author(s):  
Edward D. Sturman ◽  
Myriam Mongrain ◽  
Paul M. Kohn
Keyword(s):  
Attributional Style ◽  
Latent Variable ◽  
Structural Equation ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Psychomotor Retardation ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Negative Events ◽  
Hopelessness Depression

Stable and global attributions for negative events were tested as predictors of hopelessness depression symptoms, obtained from a diagnostic interview for a past depressive episode in a sample of 102 graduate students. All participants were administered the Structured Clinical Interview for DSM–IV, Center for Epidemiological Studies Depression Scale, Personal Style Inventory, and a modified version of the Extended Attributional Style Questionnaire. A stable and global attributional style for negative events was significantly associated with a composite of hopelessness depression symptoms. A regression analysis revealed that attributional style significantly postdicted hopelessness depression symptoms when controlling for both sociotropy and autonomy. Structural equation modeling supported a model in which stable and global attributions predicted a latent variable, which we refer to as a motivational deficit, involving psychomotor retardation and fatigue as indicators. Therefore, this study obtained some support for the hopelessness model and highlights the vulnerability posed by attributional style ( Abramson, Metalsky, & Alloy, 1989 ).

Konsekuensi Green Trust Terhadap Green Perceived Value, Green Perceived Risk dan Green Repurchase Intention

2020 ◽  
Vol 19 (2) ◽  
pp. 62-74
Author(s):  
Destya Lisnaningrum ◽  
Sabihaini Sabihaini ◽  
Abdul Ghofar
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Perceived Value ◽  
The Body ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Sample Collection ◽  
Body Shop ◽  
The Body Shop ◽  
Green Trust

This study determine the effect of green perceived value and green perceived risk on green repurchase intention mediated by green trust in customers of The Body Shop products in the Special Region of Yogykarta. The independent variables are green perceived value and green perceived risk. The dependent variable is a green repurchase intention. Green trust is a mediating variable. The population in this study are customers of The Body Shop products. Sample collection is done by area sampling techniques by grouping DIY into 5 groups, namely Bantul, Gunungkidul, Kota Yogyakarta, Kulon Progo, Sleman and the purposive sampling with the criteria of having made at least 2 purchases of The Body Shop products number of 150 respondents. The data analysis method used in this study is structural equation modeling (SEM). The results of this study are If consumers feel the benefits of a product towards the environment is high, it will increase trust and repurchase in the product. If consumers have a negative perception of a product that is high it will reduce trust and reduce interest in repurchasing the product. Consumer trust in products can mediate consumer ratings of the benefits received, negative perceptions and repurchase in the product.

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