cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hendy Tannady
Contact Email
jssbs.publishergema@gmail.com
Phone
-
Journal Mail Official
jssbs.publishergema@gmail.com
Editorial Address
Puri Beta, Tanjung 5/16, Tangerang
Location
Kota tangerang,
Banten
INDONESIA
Journal of Social Science and Business Studies
Published by Yayasan Gema Bina Nusantara
ISSN : -     EISSN : 29876079     DOI : -
Core Subject : Economy, Social,
Economics, Econometrics & Finance Social Sciences
Jounal of Social Sciences and Business Studies is a journal that publishes Focus and Scope research articles, which include : Social Science Business Management Accounting Communication Studies Politic Public Administration Art & Design
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 87 Documents
 5   6   7   8   9 
The Influence of Influencer Credibility, Posting Frequency, and Entertainment Value on Social Media Engagement Behavior of Culinary Products Hendra, Hendra; Hendratni, Tyahya Whisnu; Istiqomah, Yuliani; Putrianti, Flora Grace; Mundzir, Mundzir; Bait, Jennifer Farihatul
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.213

Abstract

This research aims at identifying the role of social media influencers' credibility, the frequency of posts, and the entertainment value of posts in consumer engagement behavior to culinary products on social media channels. Quantitative explanatory research method has been utilized whereby 300 people who are social media active users and frequently involved with culinary content were given a questionnaire. Purposive sampling was applied in this research basing it on the online behavior of the respondents, and the data was analyzed using multiple linear regression. The findings indicated that influencer's credibility, posting frequency, and content's entertainment value, all three independent variables were positively and significantly correlated with engagement behavior in social media. The present study not only contributes to the development of the theory of digital marketing and consumer behavior but also provides practical recommendations to culinary marketers on how to develop and maintain engagement strategies that are credible, consistent, and entertaining.  
The Influence of Trust, Price, and Brand Ambassador on Purchase Decisions on The Shopee Platform Among Tri Bhakti Students Maulida, Sofia; Falqi, Sarah Maulidah
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.237

Abstract

The purpose of this study is to ascertain how trust, price, and brand ambassadors affect Shopee platform purchasing decisions, particularly among Tri Bhakti students. 84 respondents were given questionnaires as part of a quantitative survey technique. Multiple linear regression was used to analyze the data. Because the trust variable's significance value is 0.000 < 0.05 and its t-table value is 1.990 <t-count value of 6.153, the results of the partial test (t-test) study demonstrate that the trust variable significantly influences purchasing decisions. The price variable has a substantial impact on purchase decisions, according to the partial test (t-test), with a significant value of 0.029 < 0.05 and a t-count value of 2.228. With a significance value of 0.452 > 0.05 and a t-table value of 1.990 < t-count value of 0.755, the partial test (t-test) indicates that the brand ambassador variable has no meaningful impact on purchasing decisions. The simultaneous test findings (f test). With a significance level of 0.000 < 0.05, the computed F value of 31.752 is higher than the F table of 2.72, indicating that the three independent factors concurrently have a considerable impact on purchase decisions.  
A Comprehensive Framework for Integrating Machine Learning with Big Data Analytics Systems for Business Purposes Zein, Afrizal; Ekawati, Fordiana
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.246

Abstract

The growth in volume, velocity, and diversity of data has driven the need for analytical systems that are not only capable of handling big data, but also capable of generating intelligent predictions and insights through the integration of machine learning. This study aims to design and analyze a comprehensive framework that integrates machine learning algorithms into big data analytical systems. The research approach is carried out through literature studies and evaluations of various platforms and architectures such as Hadoop, Spark, and TensorFlow, which enable efficient large-scale data processing. The proposed framework includes the stages of ingestion, preprocessing, model training, evaluation, deployment, and feedback loops that support continuous learning. This integration not only improves the predictive capabilities of the system but also enables organizations to respond proactively to real-time data dynamics. The results of this study are expected to be a strategic reference in the development of modern data-driven analytical systems.  
Sentiment Analysis of Product Reviews in E-Commerce Using the Naive Bayes Method Zein, Afrizal; Karimah , Mufidah
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.247

Abstract

In the rapidly growing world of e-commerce, customer reviews play a crucial role in influencing purchasing decisions. However, the massive volume of online reviews makes it difficult for potential buyers and sellers to interpret the overall sentiment toward a product. This research aims to perform sentiment analysis on product reviews in e-commerce platforms using the Naive Bayes classification method. The study focuses on classifying reviews into positive, negative, and neutral categories based on textual data. The dataset used consists of customer reviews collected from popular e-commerce sites. The data preprocessing stages include case folding, tokenization, stop word removal, and stemming to ensure clean and meaningful input for the model. The Naive Bayes algorithm, known for its simplicity and efficiency in text classification, is applied to train and predict sentiment labels. Evaluation is conducted using accuracy, precision, recall, and F1-score metrics to measure model performance. Experimental results show that the Naive Bayes classifier achieves high accuracy in detecting sentiment polarity, making it suitable for large-scale sentiment analysis in e-commerce contexts. The findings demonstrate that sentiment analysis can provide valuable insights for businesses in understanding customer satisfaction, improving products, and enhancing overall marketing strategies.  
Perceived Value and Emotional Attachment on Repurchase Intention through Brand Experience Kusumahadi, Rafaela Abigail; Rodhiah
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.252

Abstract

This study aims to analyze the influence of perceived value and emotional attachment on repurchase intention, with brand experience as a mediating variable among consumers of the “XYZ” brand. The research is grounded in the context of intense competition within the Fast-Moving Consumer Goods (FMCG) industry, specifically focusing on the herbal health product category. A quantitative descriptive method was applied using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach through SmartPLS 4. The sampling technique used was non-probability sampling with purposive sampling, distributing a Google Form questionnaire to 156 respondents who are consumers of “XYZ” brand who lives in Jakarta, have already consumed the product at least twice, and intend to buy them again in the future. The results reveal that perceived value and emotional attachment have a positive and significant effect on brand experience and repurchase intention. Brand experience also has a positive and significant effect on repurchase intention and successfully acts as a mediating variable. This study contributes academically to the understanding of consumer behavior and FMCG marketing. The novelty of this research lies in the simultaneous integration of perceived value and emotional attachment, along with the inclusion of brand experience as a mediating variable. In addition, this study explores the herbal health product category within the FMCG sector, which remains limited in existing literature.
Determinants of Repurchase Intention Mediated by Customer Satisfaction Among “X” Coffee Application Users Tjandra, Sabrina Layman; Rodhiah
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.253

Abstract

This research aims to analyze and ascertain how repurchase intention among users of the "X" Coffee application is influenced by perceived ease of use, perceived usefulness and customer experience and mediated by customer satisfaction. The sample method is purposive sampling. The sample in this research consisted of “X” Coffee customers who have purchased “X” Coffee at least 5 times in the last 2 years using the “X” Coffee application and located DKI Jakarta. A Google Forms survey was used to get 235 respondents in total. With the assistance of SmartPLS 4.0, the data was processed using structural equation modeling (SEM). The outcomes show that perceived ease of use, perceived usefulness, customer experience, and customer satisfaction collectively have a positive and significant impact on repurchase intention. Repurchase intention is significantly and positively affected by perceived ease of use, positively and significantly impacted by perceived usefulness, positively and significantly impacted by customer satisfaction, and not significantly impacted by customer experience through customer satisfaction.
Artificial Intelligence Adoption and Business Performance: The Mediating Role of Sustainable Competitive Advantage in the Food and Beverage Industry Rodhiah; Aspiranti , Tasya; Amaliah, Ima; Nurhayati, Nunung
Journal of Social Science and Business Studies Vol. 3 No. 4 (2025): JSSBS
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jssbs.v3i4.254

Abstract

This research aims to analyze the impact of adapting Artificial Intelligence (AI) on business performance with mediating sustainable competitive advantage (SCA)in the Food and Beverage (F&B) industry located in West Jakarta. The population was all F&B companies in West Jakarta. The sample includes 120 respondents selected with purposive sampling, with criteria including respondents who understand and have adopted AI in their business operations for a minimum of three years. The data used Likert-scale questionnaires adapted from previously validated and reliable instruments. Data analysis using SEM by SmartPLS software. The results indicate that adapting AI has a positive but insignificant effect on the business performance of F&B companies in West Jakarta. Additionally, the study found that adapting AI has a positive and significant impact on sustainable competitive advantage, which in turn has a positive and significant effect on business performance. Mediation analysis revealed that sustainable competitive advantage mediates the relationship between adapting AI and business performance. This suggests that adapting AI does not directly affect business performance but rather indirectly through sustainable competitive advantage. Sustainable competitive advantage directly influences business performance. The conclusion of this research is that adapting AI is a crucial strategy for improving business performance through sustainable competitive advantage in the F&B industry in West Jakarta. Companies that invest in AI technology and integrate it into their business strategies have the potential to achieve superior performance by maintaining their sustainable competitive advantage in the long term.  

Page 9 of 9 | Total Record : 87

 5   6   7   8   9 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 4 (2025): JSSBS Vol. 3 No. 3 (2025): JSSBS Vol. 3 No. 2 (2025): JSSBS Vol. 3 No. 1 (2025): JSSBS Vol. 2 No. 4 (2024): JSSBS Vol. 2 No. 3 (2024): JSSBS Vol. 2 No. 2 (2024): JSSBS Vol. 2 No. 1 (2024): JSSBS Vol. 1 No. 4 (2023): JSSBS Vol. 1 No. 3 (2023): JSSBS Vol. 1 No. 2 (2023): JSSBS Vol. 1 No. 1 (2023): JSSBS More Issue