Talent Flow Analytics in Online Professional Network

Analyzing job hopping behavior is important for understanding job preference and career progression of working individuals. When analyzed at the workforce population level, job hop analysis helps to gain insights of talent flow among different jobs and organizations. Traditionally, surveys are conducted on job seekers and employers to study job hop behavior. Beyond surveys, job hop behavior can also be studied in a highly scalable and timely manner using a data driven approach in response to fast-changing job landscape. Fortunately, the advent of online professional networks (OPNs) has made it possible to perform a large-scale analysis of talent flow. In this paper, we present a new data analytics framework to analyze the talent flow patterns of close to 1 million working professionals from three different countries/regions using their publicly-accessible profiles in an established OPN. As OPN data are originally generated for professional networking applications, our proposed framework re-purposes the same data for a different analytics task. Prior to performing job hop analysis, we devise a job title normalization procedure to mitigate the amount of noise in the OPN data. We then devise several metrics to measure the amount of work experience required to take up a job, to determine that existence duration of the job (also known as the job age), and the correlation between the above metric and propensity of hopping. We also study how job hop behavior is related to job promotion/demotion. Lastly, we perform connectivity analysis at job and organization levels to derive insights on talent flow as well as job and organizational competitiveness.Comment: arXiv admin note: extension of arXiv:1711.05887, Data Science and Engineering, 201

On analyzing job hop behavior and talent flow networks

Singapore National Research Foundation under International Research Centre@Singapore Funding Initiativ

Talent flow analytics in online professional network

Singapore National Research Foundation under International Research Centres in Singapore Funding Initiativ

Career Transitions and Trajectories: A Case Study in Computing

From artificial intelligence to network security to hardware design, it is well-known that computing research drives many important technological and societal advancements. However, less is known about the long-term career paths of the people behind these innovations. What do their careers reveal about the evolution of computing research? Which institutions were and are the most important in this field, and for what reasons? Can insights into computing career trajectories help predict employer retention? In this paper we analyze several decades of post-PhD computing careers using a large new dataset rich with professional information, and propose a versatile career network model, R^3, that captures temporal career dynamics. With R^3 we track important organizations in computing research history, analyze career movement between industry, academia, and government, and build a powerful predictive model for individual career transitions. Our study, the first of its kind, is a starting point for understanding computing research careers, and may inform employer recruitment and retention mechanisms at a time when the demand for specialized computational expertise far exceeds supply.Comment: To appear in KDD 201

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics

In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to make talent-related decisions in a quantitative manner. Indeed, the recent development of Big Data and Artificial Intelligence (AI) techniques have revolutionized human resource management. The availability of large-scale talent and management-related data provides unparalleled opportunities for business leaders to comprehend organizational behaviors and gain tangible knowledge from a data science perspective, which in turn delivers intelligence for real-time decision-making and effective talent management at work for their organizations. In the last decade, talent analytics has emerged as a promising field in applied data science for human resource management, garnering significant attention from AI communities and inspiring numerous research efforts. To this end, we present an up-to-date and comprehensive survey on AI technologies used for talent analytics in the field of human resource management. Specifically, we first provide the background knowledge of talent analytics and categorize various pertinent data. Subsequently, we offer a comprehensive taxonomy of relevant research efforts, categorized based on three distinct application-driven scenarios: talent management, organization management, and labor market analysis. In conclusion, we summarize the open challenges and potential prospects for future research directions in the domain of AI-driven talent analytics.Comment: 30 pages, 15 figure

The Art of the Hustle: A Study of the Rap Music Industry in Bogota, Colombia

How do rap artists in Bogota, Colombia come together to make music? What is the process they take to commodify their culture? Why are some rappers able to become socially mobile in this process, while others are less so? What is technology’s role in all of this? This ethnography explores those questions, as it carefully documents the strategies utilized by various rap groups in Bogota, Colombia to create social mobility, commoditize products and to create a different vision of modernity within the hip-hop community, as an alternative to the ideals set forth by mainstream Colombian society. Resistance Art Poetry (RAP), is said to have originated in the United States but has become a form of international music. In conducting ethnographic research from December of 2012 to October 2014, I was able to discover how rappers organize themselves politically, how they commoditize their products and distribute them to create various types of social mobilities. In this dissertation, I constructed models to typologize rap groups in Bogota, Colombia, which I call polities of rappers to discuss how these groups come together, take shape, make plans and execute them to reach their business goals. I was also able to document the inconsistencies, problems and negotiations that the members of these entities encountered as they attempted to become successful musicians in the current global economic environment. This dissertation offers explicit details of how the rap musicians in the polities under study, were able to utilize their social networks in the process of commodifying their products for distribution in the hip-hop market place. I also tackle current academic discussions about how the rappers use digital technologies to assist them with this process. Engaging with concepts from economic anthropology, social mobility literature, political economy and globalization studies, the findings here demonstrate various entrepreneurial strategies utilized by rap musicians in this location

Measuring and Improving Employee Engagement (A Study in PT. Svara Inovasi Indonesia)

For the past 15 years, radio and music industry trend is decreasing. One of the causes is “disruption” from Radio Internet Pureplay such as Spotify, Joox, etc. Svara came with “Beyond Disruption” concept that can be saved radio and music industry by starting Radio Digital Transformation. Nowadays, the growth of IT Start-Up Company keeps increasing. which also followed by the increased number of skilled IT workers. The turnover rate over the IT Company also increases. Most of the employees stayed for a short period then moved to another company. This high turnover rate causes decrease in productivity that affected the revenue of the company since low level of employee engagement. In this paper, PT Svara Inovasi Indonesia will be studied and improved employee engagement. The factors of employee engagement level are measured through the data collected by questionnaire. The main objective of the study was to measuring and improving the employee engagement level on PT Svara Innovasi Indonesia. To measure employee engagement with suggestive improvements, the study uses 3 models; Gallup Q12, Aon-Hewitt Employee Engagement Driver, and Deloitte Simply Irresistible Organization model. The result is identified that “stay” component from employee engagement level is low. This caused by low level of recognition, rewards, and work-life balance. This could be improved to increase engagement level, productivity and reducing turnover

The Presence of Groove in Online Songwriting Projects

Collaboration for groups with members who are disconnected by geography or time is convenient for many reasons, but remains a challenge due to time zone differences, network congestion, and the attenuation of nonverbal communication cues. Virtual collaborators engaging in creative work often deal with these challenges, even more so when tasked with expressing their emotions to distant partners. This study seeks to determine the social factors and tools that impact the quality of an online creative collaboration. Members of the Kompoz.com music composition community were surveyed to solicit projects that had the potential to be optimal collaborations. Judges listened to these songs and measured how much each song prompted them to move. This measure, called groove, was used as an indication of a successful collaboration. Judges assisted in selecting one case that was an exemplar of groove, and another that urged them to move much less, to stand as an exemplar of diminished groove. The comparative case method was used to compare and contrast the tools, social practices, and skills employed in each project, and offers guidelines for the design of and participation in online creative communities