Predicting Brand Loyalty by Measuring the Strength of Consumer Habit

2018 ◽  
pp. 256-276
Author(s):  
Donald L. Amoroso
Keyword(s):  
Brand Loyalty ◽  
Regression Models ◽  
Mobile Apps ◽  
Explanatory Power ◽  
Consumer Attitudes ◽  
Consumer Loyalty ◽  
Direct Effects ◽  
Continuance Intention ◽  
Independent Variable

This chapter builds on existing loyalty literature and theories, includes impact of habit on continuous intention and loyalty, and makes recommendations to practitioners based on the findings. This research identifies the factors that will increase brand loyalty by consumers and examines the strength and effect of habit in predicting brand loyalty. Five regression models revealed that habit was the strongest factor among all constructs in predicting continuance intention and consumer loyalty to mobile wallet brands. Support was found for all of the hypothesized relationships for consumers using mobile apps. Although the direct effects of consumer attitudes were more or less constant, satisfaction became insignificant when habit is introduced in the model. As an independent variable with both consumer attitudes and satisfaction, habit significantly increases the explanatory power of continuance intention and loyalty. This chapter provides new insights into factors that influence loyalty in the context of mobile wallet applications.

The Impact of Inertia as Mediator and Antecedent on Consumer Loyalty and Continuance Intention

2018 ◽  
pp. 960-981 ◽  
Author(s):  
Donald Louis Amoroso ◽  
Pajaree Ackaradejruangsri ◽  
Ricardo A. Lim
Keyword(s):  
Information Systems ◽  
Relationship Marketing ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Explanatory Power ◽  
Consumer Attitudes ◽  
Consumer Loyalty ◽  
Direct Effects ◽  
Continuance Intention ◽  
The Impact

This study builds on existing loyalty literature and theories, and extends to include consumer attitudes impact on continuous intention and loyalty based on relationship marketing and information systems. Three structural equation models built from a survey of 458 mobile Thai consumers revealed that inertia was the strongest factor among all constructs in predicting consumer loyalty and continuance intention, either as mediator or antecedent. Support was found for all of the hypothesized relationships for consumers using mobile wallet apps, except for the path between loyalty and continuance intention. Though the direct effects of consumer attitudes were more or less constant, satisfaction became insignificant when inertia acted as a mediator. As an antecedent to both consumer attitudes and satisfaction, inertia significantly increased the explanatory power of continuance intention and loyalty. This study provides new insights into factors that influence loyalty and continuance intention in the context of mobile wallet applications.

The Impact of Inertia as Mediator and Antecedent on Consumer Loyalty and Continuance Intention

2017 ◽  
Vol 8 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Donald Louis Amoroso ◽  
Pajaree Ackaradejruangsri ◽  
Ricardo A. Lim
Keyword(s):  
Information Systems ◽  
Relationship Marketing ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Explanatory Power ◽  
Consumer Attitudes ◽  
Consumer Loyalty ◽  
Direct Effects ◽  
Continuance Intention ◽  
The Impact

This study builds on existing loyalty literature and theories, and extends to include consumer attitudes impact on continuous intention and loyalty based on relationship marketing and information systems. Three structural equation models built from a survey of 458 mobile Thai consumers revealed that inertia was the strongest factor among all constructs in predicting consumer loyalty and continuance intention, either as mediator or antecedent. Support was found for all of the hypothesized relationships for consumers using mobile wallet apps, except for the path between loyalty and continuance intention. Though the direct effects of consumer attitudes were more or less constant, satisfaction became insignificant when inertia acted as a mediator. As an antecedent to both consumer attitudes and satisfaction, inertia significantly increased the explanatory power of continuance intention and loyalty. This study provides new insights into factors that influence loyalty and continuance intention in the context of mobile wallet applications.

Are Japanese Consumers Concerned with Brand Commitment

2018 ◽  
Vol 9 (9) ◽  
pp. 774-784
Author(s):  
Donald L. Amoroso ◽  
◽  
Osam Sato ◽  
Pajaree Ackaradejruangsri ◽  
◽  
...  
Keyword(s):  
Data Collection ◽  
Mobile Apps ◽  
Research Question ◽  
Total Sample ◽  
Brand Commitment ◽  
Consumer Loyalty ◽  
Research Model ◽  
Continuance Intention ◽  
Main Research ◽  
Applications In Japan

In this research, we study factors such as brand commitment in order to understand the affect of loyalty and satisfaction on continuance intention with mobile wallet applications in Japan. We developed a research model, based upon previous research constructs, where we propose and examine the four constructs. The main research question in this research is: what is the extent that brand commitment affects satisfaction, loyalty, and continuous intention of Japanese consumers with respect to mobile wallet applications? Two recent data collection efforts yielded a total sample of 513 consumers using mobile wallet apps. While we expected to find brand conscious Japanese consumers to be satisfied and loyal, as well as continuous users of certain mobile apps, our data shows that brand commitment is only statistically significant with satisfaction. This means that brand does not predict consumer loyalty or continuous intention. This finding is interesting, as Japanese consumers have long been known to be brand conscious consumers. There are several potential explanations for this finding, one of which the Japanese consumer mindset is changing. We found supporting literature showing that consumers in Japan are becoming more price conscious. Additionally many of the consumers in our sample were younger in age and might be more price-sensitive.

scholarly journals Digital Tracing during the COVID-19 Pandemic: User Appraisal, Emotion, and Continuance Intention

2021 ◽  
Vol 13 (2) ◽  
pp. 608
Author(s):  
Ayoung Suh ◽  
Mengjun Li
Keyword(s):  
Mobile Apps ◽  
Contact Tracing ◽  
The Novel ◽  
Personal Privacy ◽  
Continuance Intention ◽  
Infectious Disease Outbreak ◽  
Using Data ◽  
Novel Coronavirus ◽  
Technological Affordances ◽  
Method Approach

This study explores how people appraise the use of contact tracing apps during the novel coronavirus (COVID-19) pandemic in South Korea. Despite increasing attention paid to digital tracing for health disasters, few studies have empirically examined user appraisal, emotion, and their continuance intention to use contact tracing apps for disaster management during an infectious disease outbreak. A mixed-method approach combining qualitative and quantitative inquiries was employed. In the qualitative study, by conducting interviews with 25 people who have used mobile apps for contact tracing, the way users appraise contact tracing apps for COVID-19 was explored. In the quantitative study, using data collected from 506 users of the apps, the interplay among cognitive appraisal (threats and opportunities) and its association with user emotion, and continuance intention was examined. The findings indicate that once users experience loss emotions, such as anger, frustration, and disgust, they are not willing to continue using the apps. App designers should consider providing technological affordances that enable users to have a sense of control over the technology so that they do not experience loss emotions. Public policymakers should also consider developing measures that can balance public health and personal privacy.

Abstract 3572: Clinical Outcomes of the “Stroke100 Club”

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Amy K Guzik ◽  
Rema Raman ◽  
Kain Ernstrom ◽  
Dawn M Meyer ◽  
Ajeet Sodhi ◽  
...  
Keyword(s):  
Regression Models ◽  
Young Patients ◽  
Older Age ◽  
Advanced Age ◽  
Stroke Severity ◽  
Old Patients ◽  
Multivariable Regression ◽  
Independent Variable ◽  
Poor Outcomes ◽  
Multivariable Regression Models

Background: Patients with advanced age or high NIHSS have poorer tPA outcomes. When combined, old age (≥80yo) and elevated NIHSS (≥20) may have an even worse outcome. Patients who are also in this “Stroke100 Club” (any combination of age and NIHSS ≥100) by other means, have not been fully assessed. We evaluated discharge destination, 90-day mRS, sICH and death in treated and untreated Stroke100 Club patients. We further compared patients with age ≥ 80 and NIHSS ≥ 20 (“80/20s”), those who reached 100 without both characteristics (“non80/20s”) and ‘controls’. Methods: The UCSD SPOTRIAS prospectively collected database was analyzed for AIS patients (with and without tPA). Multivariable regression models including the Stroke100 group as an independent variable was used. Outcomes were adjusted for baseline mRS. For comparing categorical outcomes between controls, “80/20s” and “non80/20s” subgroups, a Fisher’s exact was used. Results: The IV tPA subset included 257 patients (mean age 71, 52% male, 85% white, mean NIHSS 12). 53 were in the “Stroke100 Club” (28 80/20, 25 non80/20), with more women (68% p= 0.002), higher NIHSS (22.5 p<0.0001), older age (mean age 86.4 p<0.0001), higher pre stroke mRS (34.6% mRS 3-6 vs 7.84%, p<0.0001), more HTN (p=0.045) and more afib (p= 0.008). There were 284 non tPA patients (mean age 69.52, 54% male, 85% white, mean NIHSS 5.92). 21 were in the “Stroke100 Club” (14 80/20, 7 non80/20), with higher NIHSS (23 p<0.0001), older age (mean 86.2 p<0.0001), higher pre stroke mRS (45.5% 3-6 vs 9.5%, p= 0.0001), and more afib (p= 0.0002). Stroke100 Club 90day mRS(3-6) outcomes were worse in both tPA treated patients (OR=6.77, p= 0.0001) and nontreated patients (OR 31.57, p= 0.001). sICH rates (in tPA subjects) were not different (3.8% vs 3.4%, p> 0.99). Conclusions: There is a question of treatment outcome in patients with various permutations of stroke severity and advanced age. Our data corroborates the concern of poor outcomes for Stroke100 Club patients, but notes no increased sICH with tPA. Though outcome may be poor, withholding tPA should be discouraged as worse outcomes were not due to sICH. Young patients with severe strokes or old patients with mild strokes may have outcomes similar to the standard “80/20” Stroke100 patients, however further adjusted analysis is ongoing. In addition, further analyses are being done to compare tPA to non tPA patients.

scholarly journals PERBANDINGAN REGRESI ZERO INFLATED POISSON (ZIP) DAN REGRESI ZERO INFLATED NEGATIVE BINOMIAL (ZINB) PADA DATA OVERDISPERSION (Studi Kasus: Angka Kematian Ibu di Provinsi Bali)

2016 ◽  
Vol 5 (4) ◽  
pp. 133
Author(s):  
NI PUTU PREMA DEWANTI ◽  
MADE SUSILAWATI ◽  
I GUSTI AYU MADE SRINADI
Keyword(s):  
Mortality Rate ◽  
Maternal Mortality ◽  
Regression Models ◽  
Negative Binomial ◽  
Mean Value ◽  
Response Variable ◽  
Maternal Mortality Rate ◽  
Excess Zeros ◽  
Zero Values ◽  
Independent Variable

Poisson regression is a nonlinear regression which is often used for count data and has equidispersion assumption (variance value equal to mean value). However in practice, equidispersion assumption is often violated. One of it violations is overdispersion (variance value greater than the mean value). One of the causes of overdipersion is excessive number of zero values on the response variable (excess zeros). There are many methods to handle overdispersion because of excess zeros. Two of them are Zero Inflated Poisson (ZIP) regression and Zero Inflated Negative Binomial (ZINB) regression. The purpose of this research is to determine which regression models is better in handling overdispersion data. The data that can be analyzed using the ZIP and ZINB regression is maternal mortality rate in the Province of Bali. Maternal mortality rate data has proportion of zeros value more than 50% on the response variable.  In this research, ZINB regression better than ZIP regression for modeling maternal mortality rate. The independent variable that affects the number of maternal mortality rate in the Province of Bali  is the percentage of mothers who carry a pregnancy visit, with ZINB regression models and . 

scholarly journals An Empirical Test Of The View Of Inventory As A Liability IN Explaining Financial Distress

2011 ◽  
Vol 14 (2) ◽  
pp. 83 ◽  
Author(s):  
Benjamin P. Foster ◽  
M. Cathy Sullivan ◽  
Terry J. Ward
Keyword(s):  
Logistic Regression ◽  
Financial Distress ◽  
Regression Models ◽  
Empirical Test ◽  
Explanatory Power ◽  
Manufacturing Firms ◽  
Logistic Regression Models ◽  
Financially Distressed ◽  
Accounting Ratios ◽  
Extreme View

<span>This study reports a first attempt in a financial distress context to test the extreme JIT and TOC view that inventory is a liability. We compared inventory levels and the change in inventory for healthy and financially distressed manufacturing firms. We also compared the explanatory power of logistic regression models including traditional accounting ratios to that of models including accounting ratios created by viewing inventory as a liability. We found some support for the extreme view of some JIT and TOC proponents that traditional inventory should be considered a liability.</span>

scholarly journals Pengaruh Ekuitas Merek Terhadap Keputusan Membeli Produk Kosmetik Merek Oriflame

2020 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Devi Nilakandi
Keyword(s):  
Brand Equity ◽  
Brand Loyalty ◽  
Personal Selling ◽  
Brand Awareness ◽  
Cosmetic Products ◽  
Purchasing Decisions ◽  
Quality Factors ◽  
Consumer Decisions ◽  
Brand Association ◽  
Independent Variable

The purpose of this study was to determine the significance of the effect of brand equity (brand awareness, quality impression, brand association, brand loyalty) of Oriflame cosmetic products on consumer purchases in Mataram City. The population of this study are consumers who make real purchases and consumers who have tried through a demo conducted by personal selling Oriflame cosmetic products. Sampling of 50 consumers really fulfills the requirements for a representative sample. The data collection techniques used were interview techniques and documentation techniques. This analysis is used because in this study there is more than one independent variable. This analysis is used to determine the influence of brand equity (brand awareness, quality impression, brand association, and brand loyalty) on consumer purchase desires (decisions). The results showed that: 1) Brand awareness and perceived quality factors have a significant influence to form an image and influence consumer decisions in purchasing oriflame products; 2) The factors of brand association and consumer loyalty do not have a meaningful influence on purchasing decisions for Oriflame products. This means that brand association and brand loyalty are not the dominant factors that influence consumers to use Oriflame products even though these factors have an influence but the effect is small; and 3) Brand equity has a strong influence on consumer decisions in purchasing Oriflame products. This means that the stimuli attached to the oriflame product create a special attraction that attracts consumers to buy and use oriflame products.

Investigation of Credit Risk based on Indian Firm Performance

2017 ◽  
Vol 6 (2) ◽  
pp. 35-46
Author(s):  
Manoj Kumar
Keyword(s):  
Regression Models ◽  
Explanatory Power ◽  
Business Failure ◽  
Data Envelopment ◽  
Financial Indicators ◽  
Logit Regression ◽  
Parametric Data ◽  
Efficiency Measures ◽  
Ex Ante ◽  
Indian Firm

In this paper the author investigates whether technical efficiency is an important ex-ante predictor of business failure. The author uses samples of Indian textiles, wood, computers and related activities and R&D companies to obtain efficiency estimates for individual firms in each industry. These efficiency measures are derived from a directional technology distance function constructed empirically using non-parametric Data Envelopment Analysis (DEA) methods. Estimating standard probit and logit regression models the author finds that efficiency has significant explanatory power in predicting the likelihood of default over and above the effect of standard financial indicators.

Can Advertising Copy Make FSI Coupons More Effective?

1997 ◽  
Vol 34 (4) ◽  
pp. 473-484 ◽  
Author(s):  
France Leclerc ◽  
John D. C. Little
Keyword(s):  
Brand Loyalty ◽  
Laboratory Experiments ◽  
Product Category ◽  
Consumer Attitudes ◽  
Separate Analysis ◽  
Free Standing ◽  
Packaged Goods ◽  
Print Advertisement ◽  
Per Se ◽  
The Impact

Packaged goods manufacturers distribute cents-off coupons in freestanding inserts (FSIs) in newspapers. Free-standing insert coupons are typically composed of two parts: the coupon per se and a print advertisement. Using two laboratory experiments and a separate analysis of coupon measurements from scanner panels, the authors investigate whether the content of the print advertisement influences the effectiveness of the coupon. Theoretical arguments suggest that the impact on consumer attitudes will depend on the executional cues of the copy, the brand loyalty of the consumers, and the consumer's involvement with the product category. The results support the theoretical framework and suggest that it is possible to make FSI coupons more effective by choosing appropriate executional cues for their advertising copy.

Sign in / Sign up

Export Citation Format

Share Document