Khai Wah Khaw , Abdullah Mohammed Sadaa , Alhamzah Alnoor , Ali Shakir Zaidan , Yuvaraj Ganesan , XinYing Chew
{"title":"促进家族企业可持续发展承诺战略:SEM和ANFIS的多分析视角","authors":"Khai Wah Khaw , Abdullah Mohammed Sadaa , Alhamzah Alnoor , Ali Shakir Zaidan , Yuvaraj Ganesan , XinYing Chew","doi":"10.1016/j.hitech.2023.100453","DOIUrl":null,"url":null,"abstract":"<div><p>The study seeks to understand the impact of leadership styles on the organizational strategy of sustainability commitment, utilizing the mediator role of employees' eco-friendly practices in family firms in Malaysia. To achieve this aim, dual-stage structural equation modeling (SEM) and neuro-fuzzy inference system (ANFIS) were employed to analyze the leadership style of Malaysian family firms. This study collects empirical data from 427 employees belonging to Malaysian family firms via a structured questionnaire. Results demonstrate supportive, authentic, and paternalistic leadership styles affect the sustainability commitment strategy of organizations. Moreover, employees' eco-friendly best practices fully mediate the link between leadership styles and the organizational strategy of sustainability commitment. Findings of non-compensatory relationships also indicated employees' eco-friendly best practices is the most determinant of the strategy of sustainability commitment, followed by authentic leadership, supportive leadership, and paternalistic leadership.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 1","pages":"Article 100453"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Spurring sustainability commitment strategy of family-owned SMEs: A multi-analytical SEM & ANFIS perspective\",\"authors\":\"Khai Wah Khaw , Abdullah Mohammed Sadaa , Alhamzah Alnoor , Ali Shakir Zaidan , Yuvaraj Ganesan , XinYing Chew\",\"doi\":\"10.1016/j.hitech.2023.100453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The study seeks to understand the impact of leadership styles on the organizational strategy of sustainability commitment, utilizing the mediator role of employees' eco-friendly practices in family firms in Malaysia. To achieve this aim, dual-stage structural equation modeling (SEM) and neuro-fuzzy inference system (ANFIS) were employed to analyze the leadership style of Malaysian family firms. This study collects empirical data from 427 employees belonging to Malaysian family firms via a structured questionnaire. Results demonstrate supportive, authentic, and paternalistic leadership styles affect the sustainability commitment strategy of organizations. Moreover, employees' eco-friendly best practices fully mediate the link between leadership styles and the organizational strategy of sustainability commitment. Findings of non-compensatory relationships also indicated employees' eco-friendly best practices is the most determinant of the strategy of sustainability commitment, followed by authentic leadership, supportive leadership, and paternalistic leadership.</p></div>\",\"PeriodicalId\":38944,\"journal\":{\"name\":\"Journal of High Technology Management Research\",\"volume\":\"34 1\",\"pages\":\"Article 100453\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of High Technology Management Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1047831023000032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of High Technology Management Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1047831023000032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
Spurring sustainability commitment strategy of family-owned SMEs: A multi-analytical SEM & ANFIS perspective
The study seeks to understand the impact of leadership styles on the organizational strategy of sustainability commitment, utilizing the mediator role of employees' eco-friendly practices in family firms in Malaysia. To achieve this aim, dual-stage structural equation modeling (SEM) and neuro-fuzzy inference system (ANFIS) were employed to analyze the leadership style of Malaysian family firms. This study collects empirical data from 427 employees belonging to Malaysian family firms via a structured questionnaire. Results demonstrate supportive, authentic, and paternalistic leadership styles affect the sustainability commitment strategy of organizations. Moreover, employees' eco-friendly best practices fully mediate the link between leadership styles and the organizational strategy of sustainability commitment. Findings of non-compensatory relationships also indicated employees' eco-friendly best practices is the most determinant of the strategy of sustainability commitment, followed by authentic leadership, supportive leadership, and paternalistic leadership.
期刊介绍:
The Journal of High Technology Management Research promotes interdisciplinary research regarding the special problems and opportunities related to the management of emerging technologies. It advances the theoretical base of knowledge available to both academicians and practitioners in studying the management of technological products, services, and companies. The Journal is intended as an outlet for individuals conducting research on high technology management at both a micro and macro level of analysis.