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The Impact of Digital Transformation on Business Models and Competitive Advantage Agustian, Kresnawidiansyah; Mubarok, Endang Saefuddin; Zen, Agustian; Wiwin, Wiwin; Malik, Aulia Januar
Technology and Society Perspectives (TACIT) Vol 1 No 2 (2023): July 2023
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/tacit.v1i2.55

Abstract

Digital transformation has become a dominant trend in the business world in recent years. The rapid development of information and communication technology has enabled organisations to change the way they operate, interact with customers, and compete in the market. This research aims to analyse the impact of digital transformation on business models and competitive advantage. This research is a literature review that uses a qualitative approach, which implies that data will be analysed and interpreted using information and text obtained from various sources. The study results show that in the ongoing era of digital transformation, its impact on business models and competitive advantage is an aspect that cannot be ignored. This digital transformation has changed the fundamentals of how organisations operate and interact with customers, and how they can win the competition in an increasingly fierce market. Digital transformation has brought about a significant business paradigm shift. Today, more organisations are integrating digital technology as an integral part of their business model. It is no longer an option, but a necessity to maintain relevance and competitiveness in the market.
Comparison of Binary and Traditional Partial Least Squares Structural Equation Modeling: A Study on The Role of Multidimensional Poverty Dimension to Social Protection in Java Island Bhakti, Diana; Adji, Ardi; Mubarok, Endang Saefuddin; Sukmono, Renny; Salam, Rudi
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 17 No 1 (2025): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v17i1.795

Abstract

Introduction/Main Objectives: The traditional Partial Least Squares Structural Equation Modeling (PLS-SEM) method uses an ordinary least squares regression approach that assumes that indicators must have a continuous scale. When the indicators are categorical, the use of traditional PLS-SEM becomes less appropriate. Background Problems: Multidimensional poverty consists of dimensions that are measured by a binary scale. The use of binary PLS-SEM is better than traditional PLS-SEM in modeling the effect of dimensions on social protection on Java Island. Novelty: The use of binary PLS-SEM with factor scores from the item response theory model applied to the role of dimensions of multidimensional poverty to social protection has not been carried out yet. Research Methods: This study introduces binary PLS-SEM, which is modified from traditional PLS-SEM by changing the data input using a tetrachoric correlation matrix. Finding/Results: Empirical results show that the binary PLS-SEM measurement model is better than traditional PLS-SEM. Evaluation of the structural model shows that the path coefficients of binary PLS-SEM are better than traditional PLS-SEM. Both approaches have an overall model fit. The order of multidimensional poverty dimensions that affect social protection are education, living standard, and health.
The Performance Determinants of Employees of Zakat Collector (Amil) Institution: Case Study of Collectors and Empowerers of National-Scale Zakat Collector Institutions in Indonesia Mubarok, Endang Saefuddin; Soleh, Achmad; Wiwin, Wiwin; Hidayat, Rahmat; Santoso, Rukun; Krismayadi, Krismayadi; Subagja, Asep Zamzam
Indonesian Journal of Advanced Research Vol. 3 No. 7 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijar.v3i7.10066

Abstract

The goal of this research was to determine how competence functions as a mediator between performance, training, and motivation. This study performed a multivariate analysis with a descriptive and explanatory quantitative strategy. The research sample consisted of 80 respondents selected by employing a proportional sampling technique. Data were collected through an instrument questionnaire and analyzed using the partial least squares (PLS) approach of structural equation modeling (SEM). The results showed that: Motivation and training both have a substantial impact on performance; Motivation and training both have a substantial impact on performance; Competence has a significant role in performance as a mediator variable, competence has a considerable ability to mediate the influence of motivation and training on performance. The results of the calculation of the square value of multiple correlations (R2) of 0.274 and 0.572 respectively show the strength of the competence dependent variable and employee performance.