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Big Data in Enterprise Management: Transformation of Traditional Recruitment Strategy

机译：企业管理中的大数据：传统招聘策略的转型

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摘要

Technological advancements and growth of social media prompted organizations to deploy better ways of doing business. Social big data analytics provide a platform to facilitate the job seekers and job providers. The study highlights the significance of social networking sites and its role in transforming traditional recruitment strategy. The transitioning to e-recruitment signifies the importance of social networking sites as a source of recruitment mix. Primary data was collected through questionnaire from 110 employees of commercial banks operating in the city of Lahore, Pakistan. Simple random sampling technique and willingness to participate on the part of respondents generated productive findings. Cronbach's alpha, descriptive statistics, correlation matrix, and regression analysis were used as data analysis tools to endorse reliability of data collection and test hypotheses. Information quality, popularity, and security of social media found to have significant impact on the effectiveness of erecruitment. The findings of the research suggest that big data applications not only results in better business performance management, but also enhances accessibility and reputation of the enterprise through cyber-social media. Management issues of social network big data with respect to HR managers, IT professionals and academia are also discussed.
机译：社交媒体的技术进步和增长促使组织部署更好的开展业务方式。社会大数据分析提供了一个促进求职者和工作提供者的平台。该研究强调了社会网络网站的重要性及其在转型传统招聘战略方面的作用。向电子招聘过渡意味着社会网络地点作为招聘组合来源的重要性。通过来自巴基斯坦市的一座商业银行的110名商业银行雇员的问卷收集主要数据。简单的随机抽样技术和参与受访者的愿意产生生产的结果。 Cronbach的alpha，描述性统计，相关矩阵和回归分析用作数据分析工具，以支持数据收集和测试假设的可靠性。社交媒体的信息质量，人气和安全性对凶皮病的有效性产生重大影响。该研究的结果表明，大数据应用不仅会导致更好的业务绩效管理，而且通过网络社交媒体提高企业的可访问性和声誉。还讨论了社会网络的管理问题，关于人力资源管理人员，IT专业人员和学术界的大数据。

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