1,725,513 research outputs found
THE EFFECT OF PROMOTIONAL COMMUNICATION MIX, PERCEIVED VALUES, AND BRAND IMAGE ON REPURCHASE INTENTION
Full text linkThe concept of promotion by Penta Helix collaboration communication approach is needed by companies to synergize with stakeholders in facing challenges during the COVID-19 pandemic. The research was conducted on consumers in DKI Jakarta from PT Birdi Indonesia as the golf market leader brands in Indonesia. This study using the theory of Elaboration Likelihood with SEM analysis and purposive sampling methods as many as 255 people. Testing with P value there are 3 signifcant positive results and the hypothesis is accepted (P value 0.05) on the relationship between promotional communication mix on brand image, perceived value on brand image, and brand image on repurchase intention. Meanwhile, there are 2 positive results that are not signifcant and rejected (P value > 0.05) on the relationship variable of the promotional communication mix on repurchase intention and perceived value on repurchase intention. The company communicates with the Penta Helix collaboration, namely: Academics, Business Sector, Communities, Government, Media. Persuasion communication activities on cognitive processes that contain the values of brand messages that are communicated until fully received to infuence decisions in repurchasing. The results showed that consumers prefer functional value or a central route that involves message elaboration and is based on qualit
The Effect of Service Experience and Digital Engagement Strategies on Repurchase Intention with Customer Satisfaction As an Intervening Variable (Study on Laten Coffee and Foods)
Full text linkIn the increasingly competitive coffee market, a deep understanding of factors such as service experience and digital engagement strategies that influence customer satisfaction and consumer decisions to repurchase (repurchase intention) is crucial for coffee companies. This study aims to analyze the direct influence of service experience and digital engagement strategies on customer satisfaction and repurchase intention as well as the indirect influence of service experience and digital engagement strategies on repurchase intention through customer satisfaction at Laten Coffee and Foods. Data collection was carried out by distributing questionnaires to 100 respondents using the Path Analysis technique. The results of this study indicate 1) Service Experience has a direct positive and significant effect on Customer Satisfaction. 2) Digital Engagement Strategies have a direct positive and significant effect on Customer Satisfaction. 3) Service Experience has a direct positive and significant effect on Repurchase Intention. 4) Digital Engagement Strategies have a direct positive and significant effect on Repurchase Intention. 5) Customer Satisfaction has a direct positive and significant effect on Repurchase Intention. 6) Service Experience has a positive and significant indirect effect on Repurchase Intention through Customer Satisfaction as an intervening variable. 7) Digital Engagement Strategies do not have a significant indirect effect on Repurchase Intention through Customer Satisfaction as an intervening variable
A general structural equation model of the emotions and repurchase intention in modern retail
Full text linkThe major objective of this study is to analyze the effect of the shopping environment and situation as perceived by modern retail shoppers into perceived crowding, store image, and shopping motives toward emotions and repurchase intention in the context of a grocery modern retail. The cross-sectional design method was used in this study, and the data were collected from a customer survey with randomly selected 244 respondents using an online questionnaire. According to the findings the perceived crowding, store image, and shopping motives affected positively on the customer emotions. The perceived crowding was revealed as the most influential variable on the emotions. We also found a direct effect of perceived crowding and store image on repurchase intention. Furthermore, the high-density retail condition shoppers tend to feel pleased with the shopping environment and give a positive appraisal to the store image. But unfortunately, a high-density retail condition could discourage the shoppers to have repurchase intention. Interestingly, when the emotions were used as a mediating variable of perceived crowding and repurchase intention, those independent variables affected on repurchase intention, positively. Therefore, the shoppers' emotions were the most important factor affected on repurchase intention in modern retail. The more they enjoy the shopping environment and situations, the more they are interested in making future purchases
A Study of Customer Satisfaction Perceived Value and Repurchase Intention of Taiwan High Speed Rail
No full text[[abstract]]The main purpose of this study is to investigate the relationship among customer satisfaction, perceived value, and repurchase intention of Taiwan High Speed Rail. A structured questionnaire designed to collect the data from passengers who have traveled by Taiwan High Speed Rail at Taichung station. By means of convenience sampling, a total number of 357 valid samples were obtained. The data analyzed by using descriptive statistics, reliability analysis, factor analysis and regression analysis.
The result showed that the most passengers in age are from 31 years old to 40 years old; the most passenger?s occupations are business affairs; the most passengers salaries are NT$40,000-60,000 per month; the married passengers are more than single passengers; passengers who own bachelor degrees in education are greater than any others, and most passengers live in the mid Taiwan.
This study found that customer satisfaction had significantly positive effect on repurchase intention. So that, perceived value had more effect on the repurchase intention. Besides, the perceived value intervened between customer satisfaction and the repurchase intention, if perceived value became higher, it increased the customer satisfaction to repurchase intention?s effect
Online store brand experience impacting on online brand trust and online repurchase intention: The moderating role of online brand attachment
Full text linkThe scope of this research is to examine the impact of online store brand experience on online brand trust and online repurchase intention. Additionally, the study tests whether online brand attachment moderates these influences. Data was gathered in two cites in Pakistan and path relationships in the theoretical model were analysed using partial least squares structural equation modelling. The study results confirm that onlinebrand attachment and online brand experience have a direct relationship with online brand trust and online repurchase intention. Conclusively, online brand attachment significantly moderates the two relationships between a) online brand experiences and online brand trust and b) online brand experiences and online repurchase intention.The study provides insights for online retail store managers to focus on improving the online experience for its customers in order to promote online brand trust and online repurchase intentions
The Study of the Relationship among Service Quality Tourists? Satisfaction and Repurchase Intention of Leisure Farm
No full text[[abstract]]In order to satisfy people?s demand of travel and reduce impact of agriculture when enter WTO, Government works very hard to improve policy of leisure agriculture. The government expects to install idea of travelling services to move our agriculture from first level industry up to third level industry which main point is service. According to treat service quality and relation between traveler satisfaction and repurchase intention, the research can realize the traveler satisfaction of service quality. The research also can understand which item can approve traveler satisfaction and repurchase intention to establish leisure farm competitiveness.
The research used statistic soft SPSS to do Reliability, Factor, Relation analyze and ANOVA. The research sample is traveler of leisure farm. The research method is random survey.
For service quality identification, first is farm cleanness. Second is employee service. Third is reliability of farm. For satisfaction, first is environment of farm. Second is attitude of employee. Third is service of farm. For repurchase intention, first is to introduce farm to your relationship and friend. Second is to pay attention to any information for farm. Third is to visit farm again.
The research result showed service quality and traveler satisfaction have positive relation; service quality and repurchase intention have positive relation. For service quality, different age travelers have significance level for Assurance and Reliability. Different marriage situation travelers have significance level for Reliability. Different education level travelers have significance level for Assurance. Different vocation travelers have significance level for Assurance, Tangible, Response. Different salary travelers have significance level for Assurance, Response.
For satisfaction, different age travelers have significance level for School performance. Different education level travelers have significance level for School performance. Different vocation have significance level for traveler satisfaction.
For repurchase intention, different age travelers have significance level for relation continuation. Different education level travelers have significance level for repurchasing inclination. Different vocation travelers have significance level for repurchasing inclination
Combined artificial bee colony algorithm and machine learning techniques for prediction of online consumer repurchase intention
No full textA novel paradigm in the service sector i.e. services through the web is a progressive mechanism for rendering offerings over diverse environments. Internet provides huge opportunities for companies to provide personalized online services to their customers. But prompt novel web services introduction may unfavorably affect the quality and user gratification. Subsequently, prediction of the consumer intention is of supreme importance in selecting the web services for an application. The aim of study is to predict online consumer repurchase intention and to achieve this objective a hybrid approach which a combination of machine learning techniques and Artificial Bee Colony (ABC) algorithm has been used. The study is divided into three phases. Initially, shopping mall and consumer characteristic’s for repurchase intention has been identified through extensive literature review. Secondly, ABC has been used to determine the feature selection of consumers’ characteristics and shopping malls’ attributes (with > 0.1 threshold value) for the prediction model. Finally, validation using K-fold cross has been employed to measure the best classification model robustness. The classification models viz., Decision Trees (C5.0), AdaBoost, Random Forest (RF), Support Vector Machine (SVM) and Neural Network (NN), are utilized for prediction of consumer purchase intention. Performance evaluation of identified models on training-testing partitions (70-30%) of the data set, shows that AdaBoost method outperforms other classification models with sensitivity and accuracy of 0.95 and 97.58% respectively, on testing data set. This study is a revolutionary attempt that considers both, shopping mall and consumer characteristics in examine the consumer purchase intention
Exploring the relationship between satisfaction, trust and switching intention, repurchase intention in the context of Airbnb
No full textThis article explores the relationships between satisfaction, trust and switching intention as well as repurchase intention in the Airbnb context. A theoretical framework is proposed regarding the relationship between trust, satisfaction, repurchase intention and switching intention. A distinction is made between transaction-based satisfaction and experience-based satisfaction, while trust is separated into institution-based trust (trust in Airbnb) and disposition to trust (trust in hosts). The model was tested with empirical data collected in North America. Results show that transaction-based satisfaction is a related but distinct construct from experience-based satisfaction. There was a significant effect of transaction-based satisfaction on experience-based satisfaction. Trust was determined to be the mediator between transaction-based satisfaction and repurchase intention. However, trust in Airbnb did not statistically influence trust in hosts. The implication is that industry professionals should not neglect transaction-based satisfaction as it has significant effects on experience-based satisfaction, trust and repurchase intention
Understanding repurchase intention of Airbnb consumers: perceived authenticity, electronic word-of-mouth, and price sensitivity
No full textThe purpose of this paper is to extend the research on consumer repurchase intention, perceived value, and perceived risk into the realm of the peer-to-peer economy, specifically in the context of Airbnb. A total of 395 surveys were collected in Canada and the United States. The results showed that perceived risk negatively impacts Airbnb consumers’ perceived value and repurchase intention while perceived value positively enhances their repurchase intention. Interestingly, price sensitivity was found not to reduce customers’ perceived risk but can improve their perceived value and positively influences them to repurchase the Airbnb products. Perceived authenticity was found to have a significant effect in reducing Airbnb consumers’ perceived risk and positively influencing their perceived value. Electronic word-of-mouth has a positive effect on repurchase intention as well as perceived value whereas it negatively affects perceived risk. Theoretical and managerial implications are discussed and future study directions are offered
Elucidating Drivers of Repurchase Intention in the E-Marketplace Through the Lens of Online Trust-building Mechanisms
Full text linkIndonesia has low e-commerce transactions despite high internet usage. This study
examines the e-repurchase intention on Lazada Indonesia, an e-marketplace with de-
clining traffic and sales. This study uses the perceived usefulness of institutional-based
mechanisms, the perceived usefulness of seller-based mechanisms, and the perceived
usefulness of experience-based mechanisms to examine how trust in the e-market
and e-seller affect repurchase intention. This quantitative study includes 231 Lazada
Indonesia customers from the past three months (the survey was conducted in January
2023). The data were statistically analyzed with partial least squares structural equa-
tion modeling (PLS-SEM). 43.72% of the respondents shop one to three times a month,
42.42% – more than three times per month, and 13.85 – less than once per month.
Trust in the e-marketplace increased when participants believed institutional-based
processes were beneficial (with a beta value of 0.272 and a P value of 0.000) and seller-
based mechanisms were valuable (with a beta value of 0.509 and a P value of 0.000). In
terms of trust in the e-seller, only the perceived usefulness of seller-based mechanisms
has a significant effect (with a beta value of 0.567 and a P value of 0.000), while the
perceived usefulness of experience-based mechanisms has no effect. This study has
also shown that e-seller trust significantly affects repurchase intention. Finally, with a
beta value of -0.055 and a P value of 0.046, e-marketplace trust negatively moderates
the relationship between e-seller trust and repurchase intention. Thus, e-marketplace
trust can replace e-seller trust in customer repurchase intentions
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