Vika Fransisca
Institut Prima Bangsa, Indonesia

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

Organizational Change Management and Innovation as a Performance Improvement Strategy in the Industrial Transformation Era 4.0 Vika Fransisca
Journal Of Social Science (JoSS) Vol 4 No 10 (2025): JOSS: Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/g0tyh732

Abstract

The Fourth Industrial Revolution has fundamentally changed the global business landscape, forcing organizations to adapt quickly through digital transformation. However, 60–70% of digital transformation projects fail due to weak change management practices, so a comprehensive framework that integrates change management, organizational innovation, and performance in the context of Industry 4.0 is needed. This research aims to develop and test a model that explains how organizational change management and innovation function as a performance improvement strategy during the transformation of Industry 4.0, by examining the mediating role of organizational innovation and identifying the key dimensions of change management (human, organizational, technical, and leadership factors). The research design used an explanatory quantitative approach with 300 respondents from manufacturing and service companies in Indonesia who have applied Industry 4.0 technology. Data was collected through a 7-point Likert scale questionnaire and analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 4.0. The results showed that change management had a significant effect on innovation (? = 0.685, p < 0.001) and performance (? = 0.312, p < 0.001), while organizational innovation was also significant on performance (? = 0.524, p < 0.001). The model explains 46.9% innovation variance and 67.3% performance with partial mediation (VAF = 53.5%).
The Influence of Transformational Leadership Style and Work Motivation on Employee Performance in Manufacturing Companies in Indonesia Vika Fransisca
Return : Study of Management, Economic and Bussines Vol. 4 No. 11 (2025): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v4i11.418

Abstract

The phenomenon of product returns has become a crucial issue in modern supply chain management, particularly in the digital era, when consumers are increasingly critical of product and service quality. The high rate of returns impacts operational efficiency, logistics costs, and a company's brand image. In the context of the Indonesian e-commerce and retail industry, product returns management has not been optimally managed, necessitating an evaluative model to understand the factors influencing consumer return decisions. This study aims to analyze factors influencing customer return intention, including perceived product quality, clarity of product information, consumer trust, and previous purchasing experience. A quantitative approach was employed, using a survey method, distributing questionnaires to 150 respondents who had made online purchases. Data analysis was performed using Partial Least Squares (PLS)-based Structural Equation Modeling (SEM) using SmartPLS 4 software to examine the relationships between variables and their strengths. The results show that perceived product quality and clarity of information have a significant positive effect on consumer trust, which in turn influences product return intention. Meanwhile, a poor purchasing experience strengthens the tendency for consumers to make returns. These findings underscore the importance of transparency and product quality control in reducing return rates on Indonesian e-commerce platforms.
Integrasi Artificial Intelligence dalam Pembelajaran Inklusif: Strategi Meningkatkan Aksesibilitas Pendidikan bagi Siswa Berkebutuhan Khusus di Era Digital Vika Fransisca
Jendela Pendidikan : Jurnal Ilmiah Keguruan dan Ilmu Pendidikan Vol 15 No 2 (2025): Jendela Pendidikan
Publisher : Fakultas Keguruan dan Ilmu Pendidikan - Universitas Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55129/jp.v15i2.3142

Abstract

Perkembangan Artificial Intelligence (AI) menghadirkan peluang besar bagi pendidikan inklusif, khususnya dalam mendukung siswa berkebutuhan khusus agar memperoleh akses belajar yang setara. Penelitian ini bertujuan untuk menganalisis persepsi guru, efektivitas penggunaan AI, hambatan implementasi, serta strategi optimalisasi integrasi AI dalam pembelajaran inklusif di Indonesia. Metode penelitian menggunakan pendekatan mixed-method explanatory sequential dengan melibatkan 250 responden melalui survei kuantitatif dan 20 partisipan dalam wawancara serta FGD. Instrumen penelitian mencakup kuesioner, panduan wawancara, dan lembar observasi yang divalidasi oleh pakar pendidikan inklusi. Hasil penelitian menunjukkan bahwa AI efektif dalam mendukung aksesibilitas siswa berkebutuhan khusus melalui teknologi seperti speech-to-text, text-to-speech, dan platform pembelajaran adaptif. Namun, hambatan utama berupa keterbatasan pelatihan guru, infrastruktur digital, biaya, serta literasi digital masih menjadi tantangan. Strategi optimalisasi mencakup pelatihan guru, investasi infrastruktur, dukungan kebijakan, dan kolaborasi dengan perusahaan edtech. Penelitian ini menyimpulkan bahwa AI dapat menjadi instrumen strategis dalam mewujudkan pendidikan inklusif yang adaptif, berkeadilan, dan sejalan dengan tujuan SDGs.