工作激励因素与组织承诺关系的定量研究

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引用次数: 0

摘要

本研究旨在探讨支持越南银行服务人员组织承诺的工作激励因素。有六种激励因素:工作本身;工作物理环境;晋升机会;工资;津贴及附带福利;与同事和上级的关系。本研究的理论方法是分析银行服务员工中的JMs。此外,为了加强这些关于研究变量的理论,我们利用了以前的结构。李克特量表是定量数据收集工具。最后,开发了一个研究框架和一个新的调查问卷。在本研究中,我们假设了一个整合的模型,六个激励因素直接影响OC。此外,本研究还探讨了职业操守与年龄、性别、婚姻状况、教育程度、工作职位、劳动法知识、任职期限、工作角色、月收入、银行类型等个人和职业特征的关联关系。本研究评估越南银行服务业员工对OC的态度与认知。521份纸质问卷分发给所有越南银行服务人员。经过审核,96%的学生回答了问卷。计算所有社会人口变量的频率、百分比和相应的统计数据。为了评估工作相关指数的激励因素,我们计算了Cronbach’s alpha。记录各因子的均值和标准差。对于定量模型中的每个变量,计算Pearman相关。为了确定整体满意度和工作效率的预测因子,我们采用多元回归分析。
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A Quantitative Study on A Relationship between Job Motivators and Organizational Commitment
The study aims to investigate the job motivators (JMs) that support organizational commitment (OC) for Vietnamese banking service personnel. There are six motivators: Work-itself; Working Physical Environment; Opportunities for promotion; Wages; Subsidies and Fringe Benefits; Relationships with Coworkers and Higher-ups. This study’s theoretical methodology is to analyze JMs among banking service employees. Additionally, to enhance these theories regarding research variables, the previous constructs were utilized. The Likert scale is the quantitative data collection tool. Finally, a research framework is developed along with a fresh questionnaire.In the study, an integrated model was hypothesized, and six motivators directly impacted OC. Further, this research also investigated the relationship between associations between OC and several personal and professional traits (e.g., Age, Sex, Marital status, Education, Job position, Knowledge about labor law, Tenure in a job, Job role, Monthly income, and Type of bank). This research evaluated Vietnamese banking service employees’ attitudes and perceptions regarding OC. The 521 paper questionnaires are distributed to all Vietnamese banking service personnel. After reviewed, 96% of them responded the questionnaires. Frequencies, percentages and corresponding statistics are calculated for all socio-demographic variables. To assess the job correlation index’s motivators, Cronbach’s alpha was calculated. Each factor’s mean and standard deviation were recorded. For each variable in the quantitative model, Pearman’s correlation was computed. In order to identify the predictors of both overall satisfaction and OC, multiple regression analysis was utilized.
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
21
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