Narrow Results

In any organization, employees are more important for the success and sustainability of the business. An organization that attracts talented people, uses talent efficiently, manages talent effectively, and retains employees will secure the long-term success of the business. Human Resources Analytics (HRA) can significantly benefit HR executive decisions regarding employee and organizational performance. This work intends to find the impacting factors of human resource analytics in the organization and also the organization outcomes are impacted by the HRA. The influencing factors considered are technology, organization, environment, and data governance. The organizational outcomes to be measured are planned decision-making, improved performance management, and employee retention. This research involves two segments: (a) information gathering and (b) statistics assessment. An organized feedback form with 30 questions are to be prepared and circulated to the human resource executives and higher managers of organizations.  The developed hypotheses are used to construct the poll. With the help of this study, significant relationships between the elements affecting human resource analytics were found.

After reading this chapter, you will be able to do the following:

• Assess the nature of social media data in the sport industry
• Identify the different methods of mining social media data
• Evaluate the different data analytics approaches in social media data management
• Describe the three social media analytics approaches
• Describe the role of data warehouse in social media data management
• Evaluate data governance in social media data management
• Identify the key skills necessary in social media data management

Digital platform is an important infrastructure on which the development of the platform economy depends. The identity evolution of the platform has gone through three processes: the “perfect store”, the platform business model, and the platform ecosystem. This evolution process shows that technology logic and capital logic are constantly infiltrating into the underlying logic of the platform economy, which is fundamentally not conducive to the healthy development of the platform economy. Therefore, the healthy development of the platform economy must start from the perspective of data governance and algorithm governance. Data governance requires a clear definition of the rights and responsibilities of data participants in the value production process. Algorithm governance requires reconfirmation of the inherent principles and values of algorithm design.