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Journal of Mutidisciplinary Issues
Published by APPS Publications
ISSN : -     EISSN : 27986454     DOI : https://doi.org/10.53748/jmis.v1i1
Core Subject : Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Computer Science & IT Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science
Journal of Multidisciplinary (JMIS), Focus and Scope is Information Technology, Psychology, Environmental Science, Data Science, Language and Linguistics, Education, Data Sensor and Networking, Information System, Gamification, Health Science. JMIS is published frequency quarterly (May, August, November, and February) by APPS Publications.` This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Every manuscript submitted to JMIS will not have any Article Processing Charges and Article Submission Charges. This includes submitting, peer-reviewing, editing, publishing, maintaining and archiving, and allows immediate access to the full-text versions of the articles.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 3 Documents
 1 
Search results for , issue "Vol 3 No 2 (2023): Journal of Multidisciplinary Issues (JMIS) " : 3 Documents clear
Understanding the Generation Z Behaviour Intention to Purchase on Social Media: A Unified Theory of Acceptance and Use of Technology (UTAUT) Approach Annisa Alvionita; Elfindah Princes
Journal of Multidisciplinary Issues Vol 3 No 2 (2023): Journal of Multidisciplinary Issues (JMIS) 
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53748/jmis.v3i2.58

Abstract

Purposes - The purpose of this study is to examine the significant impact of four factors—Performance Expectancy, Effort Expectancy, Social Influences, and Facilitating Conditions—on Behavioral Intention to use an application. Specifically, the study seeks to identify which of these factors significantly influence users' behavioral intentions and compare the findings to prior research in the field. Methodology - The study employs a quantitative approach, using a survey to gather data from application users. Hypothesis testing is conducted using structural equation modeling (SEM) to analyze the relationships between the constructs. The decision-making process is based on p-values and t-statistics, with hypotheses being accepted or rejected based on predefined thresholds: p < 0.05 and t-statistic > 1.96 for acceptance of the alternative hypothesis (Ha). Findings - The study reveals that Performance Expectancy and Facilitating Condition have significant positive impacts on Behavioral Intention. Specifically, Performance Expectancy shows a significant positive relationship with Behavioral Intention, with a path coefficient of 0.448 and a t-statistic of 2.736. Similarly, Facilitating Condition also significantly impacts Behavioral Intention, with a path coefficient of 0.337 and a t-statistic of 2.137. However, Effort Expectancy and Social Influences are found to have no significant impact on Behavioral Intention, as evidenced by their lower t-statistics and non-significant path coefficients. Novelty - The novelty of this research lies in the context-specific examination of the influence of Facilitating Condition and Performance Expectancy on Behavioral Intention, as well as the investigation into the non-significance of Effort Expectancy and Social Influences. This study provides updated insights that diverge from previous research, such as that of Oliveira et al. (2016) and Al-Okaily et al. (2020), which reported significant effects for Effort Expectancy and Social Influences. Research Implications - The findings suggest that developers and marketers should focus on enhancing Performance Expectancy and improving Facilitating Conditions to increase users' behavioral intentions to adopt and use the application. Efforts to improve the usability and social appeal of the application may not be as critical as previously thought, according to the results of this study. These insights can guide future application development and marketing strategies, as well as contribute to the ongoing academic discussion on technology acceptance models.
The Influence of Social Support and Relationship Quality on Behavioral Intention in Social Commerce Erwin Sugiharto
Journal of Multidisciplinary Issues Vol 3 No 2 (2023): Journal of Multidisciplinary Issues (JMIS) 
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53748/jmis.v3i2.59

Abstract

Purposes - This study aims to examine the impact of social support and website quality on user engagement and behavioral intention within the realm of social commerce. It seeks to understand how these factors influence users' motivation to participate in social commerce activities and make purchasing decisions on social media platforms. Methodology - A quantitative research approach was employed, gathering data from 68 respondents through an online survey. The collected data were analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM) with the SmartPLS 4 software. The analysis included the assessment of the measurement model (outer model) and the structural model (inner model), followed by hypothesis testing through bootstrapping. Findings - The study found that social support and website quality have significant positive effects on user engagement and behavioral intention in social commerce. After adjusting for invalid indicators, the revised PLS-SEM analysis confirmed that all variables were reliable and valid, with Average Variance Extracted (AVE) values of ≥ 0.5 and Cronbach's alpha of ≥ 0.7. Social influence emerged as a key driver of behavioral intention. Novelty - This research contributes to the existing literature by providing empirical evidence on the direct impact of social support and website quality on behavioral intention in social commerce. It also demonstrates the application of PLS-SEM in examining the intricate relationships between these variables, offering a methodological approach for future studies in this domain. Research Implications - The findings suggest that businesses should prioritize enhancing social support and website quality to improve customer engagement and satisfaction in social commerce. Additionally, businesses must carefully manage their social media presence to maintain positive social influence, as this directly affects users' purchasing behavior. Future research should explore the effects of technological advancements and external factors such as regulatory policies on social commerce dynamics.
The Influence of Online Shopping Convenience on Consumer Loyalty in Social E-Commerce: A Study of Tiktok Shop Using Linear Regression Methodology Jodhi Caster
Journal of Multidisciplinary Issues Vol 3 No 2 (2023): Journal of Multidisciplinary Issues (JMIS) 
Publisher : APPS Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53748/jmis.v3i2.61

Abstract

Purposes - The primary purpose of this study is to examine the influence of online shopping convenience on consumer loyalty within the social commerce platform TikTok Shop. The research seeks to explore how ease of transactions and user interface impacts consumer retention and satisfaction in the digital marketplace. Methodology - A quantitative research design was employed, utilizing a survey method to collect data from 77 respondents who frequently use TikTok Shop. The survey measured the convenience of online shopping as the independent variable and consumer loyalty as the dependent variable. Data were analyzed using multiple linear regression to determine the significance and strength of the relationship between the two variables. Findings - The results indicate a significant positive relationship between online shopping convenience and consumer loyalty in TikTok Shop. The linear regression model reveals that increased shopping convenience leads to higher consumer loyalty, with the model explaining 59.3% of the variance in loyalty. Features such as ease of navigation and a user-friendly interface were identified as key factors in enhancing consumer retention. Novelty - This study contributes to the growing literature on social commerce by specifically focusing on the convenience of online shopping as a predictor of consumer loyalty in the context of TikTok Shop, an area that has been relatively underexplored in prior research. Research Implications - The findings suggest that e-commerce platforms, particularly social commerce like TikTok Shop, should prioritize optimizing the shopping experience to improve consumer loyalty. This study provides practical insights for businesses to enhance user engagement and retention through improved convenience features.

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