The Consistency of Bootstrap Resampling in Structural Model With PLS-PM Approach: Technology Acceptance Model in Green Marketing Management Strategy

12th International Interdisciplinary Studies Seminar - Environmental Conservation and Education for Sustainable Development

生态环境科学

Amaliana, Luthfatul^1^4 ; Rinaldo Fernandes, Adji Achmad^1^4 ; Nurjannah^1^4 ; Solimun^1^4 ; Astuti, Ani Budi^1^4 ; Darmanto^1^4 ; Yanti, Indah^2^4 ; Isaskar, Riyanti^3^4

Statistics Department, Faculty of Mathematics and Natural Sciences, University of Brawijaya, Indonesia^1

Mathematics Department, Faculty of Mathematics and Natural Sciences, University of Brawijaya, Indonesia^2

Social Economic Department, Faculty of Agriculture, University of Brawijaya, Indonesia^3

Kelompok Kajian Pemodelan Statistika Aplikasi di Bidang Manajemen, Faculty of Mathematics and Natural Sciences, University of Brawijaya, Indonesia^4

关键词: Bootstrap resampling;    Convergent condition;    Exogenous variables;    Partial least square (PLS);    Resampling;    Resampling technique;    Structural modeling;    Technology acceptance model;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/239/1/012021/pdf
DOI  :  10.1088/1755-1315/239/1/012021

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Indonesia is one of the developing countries where information system technology is widely used in the field of management. One example is the use of Go-Food applications. Many problems and determinants of someone in using Go-Food. Not all problems can only be solved by looking at one exogenous variable alone. So that required a more complex modelling that is Partial Least Square - Path Modelling (PLS-PM). The PLS-PM process requires resampling in testing the hypothesis. so it is necessary to compare the bootstrap resampling and jackknife techniques as well as to determine how many replicas in each resampling technique to achieve convergent conditions. The analysis procedure is to collect the data, then proceed to make PLS-PM model which then tested by using bootstrap resampling and jackknife. Compare the best resampling and see convergent conditions on each resampling. In this study it is known that the results of PLS-PM relationship in accordance with the model where the relationship of benefits to the attitude becomes the most significant relationship. in the process of hypothesis testing obtained one path that is not significant ease of interest. In comparison the resampling results obtained jackknife more efficient than using bootstrap.