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All Journal Jurnal Manajemen Sains dan Organisasi (JMSO) Krisnadwipayana International Journal of Management Studies
Istimaroh
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Humanities Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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The Influence of Perceived Functional, Emotional, and Social Value on Repurchase Intention of Skintific Products among Consumers in Samarinda City DwiJaya, Wahyu; Sudirman, Hudyah Astuti; Istimaroh
Jurnal Manajemen Sains dan Organisasi Vol. 6 No. 2 (2025): Jurnal Manajemen Sains dan Organisasi
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Palangka Raya

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Abstract

To analyze the influence of perceived functional, emotional, and social value on repurchase intention of Skintific products in Samarinda. Design/Methodology/Approach: Explanatory quantitative method with online questionnaires and multiple linear regression analysis of 73 active customers. Findings: Functional (β=0.421; p<0.001), emotional (β=0.200; p=0.036), and social value (β=0.426; p<0.001) significantly affect repurchase intention. Social value is most dominant. Collectively, these values explain 91.1% of repurchase intention variance (R²=0.911). Originality/Value: This study integrates three value dimensions holistically in the under-explored non-Java market, proving integrated strategies outperform partial approaches.
Supply Chain Management Strategy Research Quantitative Analysis: Comparing of Smart-PLS and SPSS Results Istimaroh; Chalid, Idham; Setiaji, Bambang; Abu Seman, Noor Aslinda
Krisnadwipayana International Journal of Management Studies Vol 4 No 1 (2024): Krisnadwipayana International Journal of Management Studies
Publisher : Program Studi Magister Manajemen Universitas Krisnadwipayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35137/kijms.v4i1.334

Abstract

Many researchers are unsure which software to use for quantitative research data analysis because there is no research comparing different software options. This study aims to compare the results of using Smart-PLS and SPSS software for analyzing quantitative data in the field of supply chain management. The study analyzed data from 231 respondents using questionnaires with three variables: lean supply chain strategy, agile supply chain strategy, and sustainable performance. The analysis focused on hypothesis testing and regression analysis, which measures the influence of independent variables on dependent variables. The study found that both Smart-PLS and SPSS software produced significant results in terms of p-value, t-value, determination value, and correlation value. This research is unique because it provides a comparative analysis of Smart-PLS and SPSS software.
Co-Authors Abu Seman, Noor Aslinda Bambang Setiaji Chalid, Idham DwiJaya, Wahyu Hudyah Astuti Sudirman