Effect Of Hedonic Motivation Research Articles

The Effect of Hedonic Motivation and IT Affordance on Impulsive Buying Decision in Social Commerce TikTok

The Effect of Hedonic Motivation and IT Affordance on Impulsive Buying Decision in Social Commerce TikTok

Pengaruh Motivasi Hedonik terhadap Impulsive Buying dan Compulsive Buying

The changed in consumer’s buying behavior and the accompanying factors is an important issue and an interesting topic for further study by marketers and academics nowadays. In this case, impulsive buying behavior and compulsive buying in Lombok local teenagers that is using halal cosmetic become the subject of this study. This study aims to determine whether there is an influence of hedonic motivation on impulse buying and compulsive buying. The sampling technique used is the accidental sampling method with 200 samples. Data analysis used Structural Equation Modeling (SEM). The results showed that there is positive and significant influence and relationship between hedonic motivation and impulse buying. There is a positive and significant effect of impulsive buying on compulsive buying. There is no effect of hedonic motivation on compulsive buying.

Mood Management as Mediator in Consumer Motivation and Impulsive Buying Relationship

This study aims to test the relationship between consumer motivation and impulsive buying and the role of mood management as a mediator in the relationship between consumer motivation and impulsive buying. This study aims to determine the effect of hedonic motivation, cool motivation, socialization motivation on mood management and impulsive buying, especially for clothing products. Researchers used quantitative methods by collecting data through a questionnaire. The sample in this study were women who were at least 17 years old as many as 200 people. The finding of this research is that hedonic motivation, cool motivation, socialization motivation had a significant effect on mood management and impulsive buying. Hedonic motivation and socialization motivation have a significant effect on mood management, while cool motivation has no significant effect on mood management. Mood management has a significant effect on impulsive buying. Marketers need to study consumer motivation to increase sales through impulsive buying because consumer motivation and mood greatly influence purchasing decisions. Marketers need to pay attention to their marketing strategies to match the motivation of consumers who are the target market.

The Effect of Hedonic Motivation and Consumer Attitudes Towards Purchase Decision on K-Pop CD Albums (Study on KPOPSURABAYA Community)

The rapid enthusiasm of Korean pop music or K-Pop is very high among the millennial generation. The mushrooming of online music streaming like Joox, Spotify, Apple music has made the CD album sales threatened. However, K-Pop fans apparently are still enthusiastic about buying a CD album even though the price is quite expensive. This study discusses the hedomic motivations and consumers attitudes towards purchasing decisions. This type of research used in this study is a combination of purposive sampling techniques. Data collection is done by using an online questionnaire using Google forms. The statistical analysis used in this study uses SPSS and data analysis techniques in this study use the classic assumption test, multiple linear regression analysis, and hypothesis testing. It can be explained that the results of the analysis show that hedonic motivations and consumer attitudes has significant influential on purchasing decisions.

The future of smartwatches: assessing the end-users’ continuous usage using an extended expectation-confirmation model

This work aims to examine the underlying factors associated with the continuous usage of smartwatches and propose a relevant theoretical framework. In order to understand and correlate the exact user motivations and expectations before and after using a smartwatch, a dual approach is taken comprising of a detailed literature review with thematic analysis of the data obtained from an ethnographic study involving 42 participants. Nine key determinants of continuous usage of smartwatches are identified, with four of them being introduced for the first time (perceived comfort, self-socio motivation, battery-life concern, and perceived accuracy and functional limitations) in the wearable context. Thereafter, a research model is developed based upon the expectation-confirmation model (ECM) and empirically tested using a partial least square structural equation modeling approach (PLS-SEM) on data obtained from 312 long-term smartwatch users across four Asian countries. Perceived usefulness, hedonic motivation, perceived comfort and self-socio motivation have a positive impact on the continuous usage. However, perceived privacy, battery-life concern, and perceived accuracy and functional limitations have a negative impact on the continuous usage of smartwatches, the last one being the greatest predictor. The effect of hedonic motivation on perceived usefulness is non-significant. The model explains 64.8% of the variance in the final dependable construct, i.e. continuous usage. The insights provided by this work can help the smartwatch stakeholders to mitigate the existing drawbacks and formulate better growth strategies along with the directions for further development with an aim to increase the customers’ continuous usage of smartwatches.

Digital divide at individual level: Evidence for Eastern and Western European countries

The current study explores the digital divide by checking the phenomenon at the individual level. It digs into the individual pattern of adoption and use of a broad set of information and communications technologies (ICT) by introducing a conceptual model combining the extended unified theory of acceptance and use of technology (UTAUT2) and the five-factor model of personality. By doing so it provides insights on factors affecting technology adoption and the role of personality on individual usage behavior. Most of the UTAUT2 hypotheses are supported, with performance expectancy being the strongest predictor. Openness is a significant predictor of behavioral intention, whereas for usage behavior the significant personality predictors are openness, extraversion, and agreeableness. Moreover, as data were collected in Bulgaria and Portugal, a multi-group analysis revealed significant country differences. The effect of performance expectancy, habit, agreeableness, and neuroticism on behavioral intention, as well as the effect of age on usage, are stronger for Bulgaria, whereas the effect of hedonic motivation on behavioral intention and the effect of behavioral intention on usage are stronger for Portugal.