{"title":"波斯湾石化公司运营经理在人力资源激励中的有效辅导因素","authors":"Hajat Hajizadeh, F. Makvandi, G. Amirnejad","doi":"10.1177/18479790211037222","DOIUrl":null,"url":null,"abstract":"Coaching encourages individuals to focus on their strengths instead of their weaknesses. The studies show that emphasizing the employees’ strengths can reduce turnover, increase productivity, and improve job satisfaction. This study investigated the effective coaching factors in operational managers of the Persian Gulf Petrochemical Company in motivation of human resources. The present study is practical and descriptive-correlational in terms of objective and data gathering, respectively. Structural Equation Modeling (SEM) was performed in SMART PLS to model the collected data. The statistical population included all the 340 operational managers of the Persian Gulf Petrochemical Company. 182 individuals were selected and evaluated from this statistical population. Questionnaires were used for data collection. The researcher-made questionnaire was extracted based on the model prepared in the previous stage using a grounded theory approach. The results showed that communication, organizational strategy and goals, legal requirements, motivation, organizational training, empowerment, teamwork, succession, organizational agility, job satisfaction, organizational structure, human resources management, organizational culture, participatory management, talent management, knowledge management, coaching, managers’ competencies, compensation system, job satisfaction, staff characteristics, organizational characteristics, and learning have significant impacts in motivation of human resources.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The effective coaching factors in operational managers of Persian gulf petrochemical company in motivation of human resources\",\"authors\":\"Hajat Hajizadeh, F. Makvandi, G. Amirnejad\",\"doi\":\"10.1177/18479790211037222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Coaching encourages individuals to focus on their strengths instead of their weaknesses. The studies show that emphasizing the employees’ strengths can reduce turnover, increase productivity, and improve job satisfaction. This study investigated the effective coaching factors in operational managers of the Persian Gulf Petrochemical Company in motivation of human resources. The present study is practical and descriptive-correlational in terms of objective and data gathering, respectively. Structural Equation Modeling (SEM) was performed in SMART PLS to model the collected data. The statistical population included all the 340 operational managers of the Persian Gulf Petrochemical Company. 182 individuals were selected and evaluated from this statistical population. Questionnaires were used for data collection. The researcher-made questionnaire was extracted based on the model prepared in the previous stage using a grounded theory approach. The results showed that communication, organizational strategy and goals, legal requirements, motivation, organizational training, empowerment, teamwork, succession, organizational agility, job satisfaction, organizational structure, human resources management, organizational culture, participatory management, talent management, knowledge management, coaching, managers’ competencies, compensation system, job satisfaction, staff characteristics, organizational characteristics, and learning have significant impacts in motivation of human resources.\",\"PeriodicalId\":45882,\"journal\":{\"name\":\"International Journal of Engineering Business Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Engineering Business Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/18479790211037222\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering Business Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/18479790211037222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
The effective coaching factors in operational managers of Persian gulf petrochemical company in motivation of human resources
Coaching encourages individuals to focus on their strengths instead of their weaknesses. The studies show that emphasizing the employees’ strengths can reduce turnover, increase productivity, and improve job satisfaction. This study investigated the effective coaching factors in operational managers of the Persian Gulf Petrochemical Company in motivation of human resources. The present study is practical and descriptive-correlational in terms of objective and data gathering, respectively. Structural Equation Modeling (SEM) was performed in SMART PLS to model the collected data. The statistical population included all the 340 operational managers of the Persian Gulf Petrochemical Company. 182 individuals were selected and evaluated from this statistical population. Questionnaires were used for data collection. The researcher-made questionnaire was extracted based on the model prepared in the previous stage using a grounded theory approach. The results showed that communication, organizational strategy and goals, legal requirements, motivation, organizational training, empowerment, teamwork, succession, organizational agility, job satisfaction, organizational structure, human resources management, organizational culture, participatory management, talent management, knowledge management, coaching, managers’ competencies, compensation system, job satisfaction, staff characteristics, organizational characteristics, and learning have significant impacts in motivation of human resources.
期刊介绍:
The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering