PATH ANALYSIS : DIRECT AND INDIRECT EFFECT HYPOTHESIS TESTING USING JACKKNIFE RESAMPLING ON THE DEVELOPMENT OF A CASHLESS SOCIETY
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Abstract
This study investigates the direct and indirect effects of marketing mix variables, namely Product, Price, and Promotion, on the Development of a Cashless Society, with the Digitization of Electronic Money serving as a mediating variable. Path analysis was employed using secondary data obtained from a survey of 100 mobile banking users in Jakarta during the COVID-19 pandemic. To reduce dependence on distributional assumptions, hypothesis testing of the path coefficients was performed using the jackknife resampling method. The results indicate that Price and Promotion have significant positive direct effects on the Digitization of Electronic Money, while the Digitization of Electronic Money has a significant direct effect on the Development of a Cashless Society. Furthermore, Price and Promotion exert significant indirect effects on the development of a cashless society through the mediating role of electronic money digitization, whereas Product has neither a significant direct nor indirect effect. The proposed model achieved a Q-square predictive relevance of 0.5893, indicating moderate-to-high predictive capability. These findings highlight the critical role of electronic money digitization in facilitating the transition toward a cashless society and demonstrate that jackknife resampling provides a robust approach for hypothesis testing in path analysis when normality assumptions are questionable
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Abu-Bader, S., & Jones, T. (2021). Statistical mediation analysis using the sobel test and hayes SPSS process macro. International Journal of Quantitative and Qualitative Research Methods.
Alzoubi, H., Alshurideh, M., Kurdi, B., & Alhyasa. (2022). The effect of e-payment and online shopping on sales growth: Evidence from banking industry. International Journal of Data and Network Science, 6(4), 1369-1380.
Arnastauskaite, J., Ruzgas, T., & Brazenas, M. (2021). An exhaustive power comparison of normality tests. Mathematics, 9(7), 1-20.
Cahyoningtyas, R., Solimun, & Fernandes, A. (2020). The Implementation of First Order and Second Order with Mixed Measurement to Identify Farmers Satisfaction. Mathematics and Statistics, 8(6), 671-682.
Darmawan, D., & Grenier. (2021). Competitive Advantage and Service Marketing Mix. Journal of Social Science Studies (JOS3), 1(2), 75-80.
Doan, T., Ngo, T., Chiem, T., & Dan. (2015). Analyze The Impact Of Marketing Mix To Brand Image Of A Specific Company (Doctoral dissertation, FUG HCM).
Efron, B., & Tibshirani, R. (1994). An Introduction to the Bootstrap. CRC Press.
Garson, G. D. (2013). Path analysis. Asheboro, NC: Statistical Associates Publishing.
Gultom, F., Solimun, & Nurjannah. (2022). Bootstrap Resampling in Gompertz Growth Model with Levenberg-Marquardt Iteration. JTAM (Jurnal Teori dan Aplikasi Matematika), 6(4), 810-820.
Guneri, O., Goktas, A., & Kayali, U. (2017). Path analysis and determining the distribution of indirect effects via simulation. Journal of Applied Statistics, 44(7), 1181-1210.
Iriany, A., Putri, H. R. A., & Yuwanto, A. J. (2022). ESTIMATION OF PATH ANALYSIS WITH JACKKNIFE AND BLINDFOLD RESAMPLING APPROACH. Journal of Theoretical and Applied Information Technology, 100(23), 6956-6964.
Isoraite, M. (2016). Marketing mix theoretical aspects. International Journal of Research Granthaalayah, 4(6), 2394-3629.
Khan, M. T. (2014). The concept of 'marketing mix' and its elements. International Journal of Information, Business and Management, 6(2), 95-107.
Kramer, A., Green, J., Pollard Jr, J., & Tugend. (2014). Causal analysis approaches in ingenuity pathway analysis. Bioinformatics, 30(4), 523-530.
Mohammad, H. I. (2015). 7PS marketing mix and retail bank customer satisfaction in northeast Nigeria. British Journal of Marketing Studies, 3(3), 71-88.
Papalia, M., Solimun, & Nurjannah. (2023). COMPARISON OF RESAMPLING EFFICIENCY LEVELS OF JACKKNIFE AND DOUBLE JACKKNIFE IN PATH ANALYSIS. BAREKENG: Jurnal Ilmu Matematika dan Terapan, 17(2), 0807-0818.
Rumiyati, & Syafarudin, A. (2021). The Influence of Service Quality, Marketing Mix, on Bank Customer. Lomata International Journal of Tax & Accounting (IJTC).
Solimun. (2010). Analisis Multivariat Pemodelan Struktural Metode Partial Least Square-PLS. Malang: CV. Citra.
Solimun, A. A. R, F., & Nurjannah. (2017). Metode Statistika Multivariat. Pemodelan Persamaan Struktural (SEM) Pendekatan WarpPLS. Malang: UB Press.
Thabit, T., & Raewf, M. (2018). The evaluation of marketing mix elements: A case study. International Journal of Social Sciences & Educational Studies, 4(4).
Yakean, S. (2020). Advantages and Disadvantages of a Cashless System in Thailand during the COVID-19 Pandemic. The Journal of Asian Finance, Economics and Business (JAFEB), 7(12), 385-388.