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The Evolving Marketing Mix in the Digital Age and Customer Mix: How Does It Affect Purchase Intention? Pitri, Tedi; Firmansyah, Irman; Rijanto, Raden; Firmansyah, Deri
International Journal of Business, Law, and Education Vol. 6 No. 1 (2025): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v6i1.1003

Abstract

The era of technological disruption in the 21st century is increasingly challenging the traditional 4P marketing mix concept to evolve to facilitate the creation of hybrid communication and services in the digital environment. This study aims to explore the causality predictive model between the evolution of the 4P marketing mix model and the customer mix considered in the modern business landscape of the digital age, by analyzing how it affects the purchase intention?, the mediating effect of the customer mix is examined. Quantitative research with a survey type is developed in predictive causality modeling, relying on the power of prediction. The statistical analysis applied Partial Least Squares-Structural Equation Modelling 4 (PLS-SEM4). The survey was conducted to 89 selected respondents with a purposive sampling technique approach. The findings of the study show that the evolution of the 4P marketing mix positively and significantly has a direct and indirect effect on purchase intention. The customer mix has a positive and significant effect on purchase intention. The customer mix has a positive mediating effect with moderate predictive power. These findings can fill the gap and expand the recognition that the evolution of the 4P marketing mix that is aligned with technological developments has relevance to the modern business landscape based on digital platforms. The evolution of the 4P marketing mix in the digital age, which integrates the customer mix as an important mediator in customer-centric platform-based business operations, plays a major role in attracting purchase intention.
The Effect of Sales and Inventory Forecasting on Net Income: An Exponential Smoothing Model Rijanto, Raden; Konita, Nita; Firmansyah, Irman
Jurnal Akuntansi dan Sistem Informasi Vol. 1 No. 3 (2026): Edisi: April-Juni
Publisher : Pustaka Bangsa Indonesia

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Abstract

This study examines the effect of sales forecasting and inventory forecasting on net profit in a large company listed on the Indonesia Stock Exchange (IDX) using the exponential smoothing method. The research applies a quantitative approach based on quarterly financial ratio data over nine years, comprising 36 observations selected through purposive sampling. Data analysis includes classical assumption tests, correlation tests, R² evaluation, and partial and simultaneous hypothesis testing using t-statistics and F-statistics at a 0.05 significance level. The findings indicate that sales forecasting has no significant effect on net profit, while inventory forecasting has a positive and significant effect on net profit. Simultaneously, sales forecasting and inventory forecasting positively and significantly affect net profit with moderate predictive power. Accurate forecasting of sales and inventory is essential for reducing uncertainty and supporting effective decision-making related to revenue and profitability.