Reconstruction of Structural Flexibility And Acceptance Model (SFAM) in Green Marketing Mix Strategy

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

生态环境科学

Solimun^1^4 ; Amaliana, Luthfatul^1^4 ; Astuti, Ani Budi^1^4 ; Rinaldo Fernandes, Adji Achmad^1^4 ; Nurjannah^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: Disruptive innovations;    Flexible and Robust;    Non-parametric smoothing;    SFAM;    Statistical concepts;    Statistical modeling;    Structural flexibilities;    Structural modeling;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/239/1/012024/pdf
DOI  :  10.1088/1755-1315/239/1/012024

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This research reconstructs the Structural Flexibility and Acceptance Model (SFAM), as a concept / theory / proposition step on statistical modeling. Existing and widely used statistical modeling, such as SEM, PLS, GSCA and WarpPLS, have flaws and still lack some flaws. SFAM reconstruction is done by reducing existing weaknesses and by adding some new and often needed statistical concepts to statistic users. Structural Flexibility and Acceptance Model (SFAM) is a very intense method of data analysis, especially in the field of social and humanities education. Research in the field in general is to investigate the system, in which one of the properties of the system is complex. The simplification solution can be done through statistical modeling. The reconstruction of Structural Flexibility and Acceptance Model (SFAM) will also be equipped with the concept of path analysis with category data, so it can be used to analyze category data. It is also integrated with a flexible and robust modeling approach based on nonparametric smoothing spline regression analysis (RNSS) capable of capturing the form of relationships that depend on empirical data, and the uniformity of free assumption-based models of assumptions and the assumption of homosexuality of variance errors.