Claim Missing Document
Check
Articles

Found 4 Documents
Search

The Influence of Product Quality, Promotion, Price, Trust and Purchase Decisions on Consumer Loyalty at PT. X Maman Nur Saman; Christian Wiradendi Wolor; Saparuddin Saparuddin
Jurnal Syntax Transformation Vol 4 No 9 (2023): Jurnal Syntax Transformation
Publisher : CV. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jst.v4i9.817

Abstract

Increasingly intense competition between product provider institutions recently is not only caused by globalization. But more because customers are getting smarter, price conscious, more demanding, less forgiving, and approached by many products. Consumer loyalty is an important factor in maintaining existence in market competition, increasing sales and as a step in purchasing decisions and to achieve goals. This study uses quantitative methods. The aim is to determine customer loyalty and purchase decisions as intervening variables. The research sample is all consumers at PT X with a total sample of 150 respondents. The data analysis method used in this study is SPSS and also Smart PLS version 3. The results of this study indicate product quality, promotion, price, significant trust in purchasing decisions. as well as a significant purchase decision on customer loyalty.
Peran Artificial Intelligence (AI) dalam Proses Pengambilan Keputusan terhadap Kinerja Organisasi: Analisis SLR Hendrian Hendrian; Dedi Purwana; Saparuddin Saparuddin; Puji Wahono
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 4 No. 2 (2024): Indo-Fintech Intellectuals: Journal of Economics and Business
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v4i2.1295

Abstract

The purpose of this research is to analyze the role of AI in decision-making on organizational performance. The method used is qualitative with secondary data. The data used is metadata on documents found on the Scopus website. The data was analyzed by the SLR method. The results of this study show that AI can help identify potential solutions by predicting the problems being studied by testing various variables and conditions in the simulation of organizational activities. AI can also improve performance through integration in decision-making.  However, not all roles performed by humans should be handled by AI, such as customer service. The use of AI agents as public service operators compared to human operators has a negative impact on the perception of the mutuality of public control in the organization-public relationship
Business-Level Strategy Transformation, Competitive Rivalry, and Competitive Dynamics: A Bibliometric Study of Digitalization Trends and Global Competition Arenal Arenal; Rendy Ardiansyah; Suparno Suparno; Saparuddin Saparuddin
Journal of Social Research Vol. 4 No. 6 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i6.2539

Abstract

This study examines the evolution of Business-Level Strategy, Competitive Rivalry, and Competitive Dynamics through a bibliometric analysis of 658 articles from the Scopus database spanning the years 2000 to 2024. Its aim is to identify research trends, publication patterns, and the interconnections among various business strategy concepts. The findings from the keyword co-occurrence analysis indicate that digitalization and innovative technology are at the forefront of contemporary business strategies. Furthermore, Competitive Rivalry is increasingly centered on both offensive and defensive strategies, as well as the concept of coopetition. In the realm of Competitive Dynamics, it is evident that sustainability, digital transformation, and compliance with global regulations are critical factors shaping strategic decision-making within organizations. As uncertainty in the industry continues to rise, companies must develop strategies that harness big data analytics, artificial intelligence, and digital business platforms to maintain their competitive edge on a global scale. This study enriches academic literature by mapping the evolution of business strategies and offers valuable insights for companies seeking to design adaptive strategies in response to technological changes and market dynamics.
Pengaruh Motivasi Belajar, Dukungan Keluarga dan Campus Visit terhadap Keputusan Melanjutkan Studi ke Perguruan Tinggi pada Siswa Kelas XII SMA Negeri Jakarta Utara Tahun Ajaran 2025/2026 Indah Lestari; Herlitah Herlitah; Saparuddin Saparuddin
Jurnal Ilmiah Ekonomi dan Manajemen Indonesia Vol. 2 No. 1 (2026): JANUARI -JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/6spa3f83

Abstract

This study aims to analyze the influence of learning motivation, family support, and campus visit on the decision to continue studies to higher education among twelfth-grade students of public senior high schools in North Jakarta in the academic year 2025/2026. The transition from secondary to higher education is a critical stage for students, yet many students face uncertainty in determining their educational future. This research employs a quantitative approach with an explanatory correlational design. Data were collected through a survey using questionnaires distributed to 220 respondents selected through multistage sampling techniques, including purposive sampling and proportionate stratified random sampling. The analysis was conducted using Structural Equation Modeling (SEM) with SmartPLS 4 software. The results indicate that learning motivation has a positive and significant effect on the decision to continue studies to higher education, while campus visit also has a positive and significant effect. However, family support has a positive but not significant effect on the decision to continue studies. The coefficient of determination (R²) of 0.593 indicates that 59.3% of the variation in the decision to continue studies can be explained by the three independent variables, while the remaining 40.7% is explained by other variables outside the research model. These findings provide important implications for schools, particularly in strengthening career guidance and counseling services, as well as facilitating campus visit activities to assist students in making more informed and well-planned decisions about their higher education choices.