• The Journal of the Korea Contents Association
• /
• v.22 no.3
• /
• pp.442-452
• /
• 2022

This study was conducted to understand research trends of HR Analytics (HRA) in Korea and to suggest future research directions. First, a comparative analysis was conducted by classifying six areas of recruitment on-board, work environment, performance evaluation, retention, and exit/retirement building on the employee life cycle framework. The results indicate that first, the distribution of detailed research topics in Korean HRA research has similar to that of international research. Second, Korean HRA studies related to employee training and development function are insufficient. Third, the scope and the method of machine learning are becoming enriched. Finally Korean HRA studies are still in the technical domain and toward entering the predictive analysis domain.

• Asian Journal of Innovation and Policy
• /
• v.9 no.3
• /
• pp.308-338
• /
• 2020

The entrepreneurial journey is not short of challenges, and about 90% + tech start-ups experience failure (Startup Genome, 2019). The magnitude of the challenges varies across the tech start-up lifecycle stages, namely emergence, stability, and growth. This opens the research question, do the profiles of a start-up and its co-founder impact start-up success or failure across its lifecycle stages? This study aims to understand and identify the profiles of tech start-ups and their co-founders. We gathered primary data from 151 start-ups (Status: 101 failed and 50 successful ones), and they are across different lifecycle stages and represent six major start-up hubs in India. The chi-square test on status and start-up's lifecycle stage indicates a noticeable correlation, and they are not independent. The Kruskal Wallis test was used to distinguish statistically significant profile attributes. The parameters distinguishing success and failure are identified, and the need to deliver customer experience is emphasized by the start-up profile attributes: Product/service, high-tech nature of a start-up, investor fund availed, co-founder experience, and employee count. The importance of entrepreneurial experience is ascertained with entrepreneur profile attributes: Entrepreneurial expertise, the number of prior and current start-ups, their willingness to start again in the event of failure, and age of co-founder, which is a proxy to learning and experience. This study has implications for entrepreneurs, investors, and policymakers.

• The Journal of the Korea Contents Association
• /
• v.22 no.9
• /
• pp.614-627
• /
• 2022

The purpose of this study was to explore the various data and methods employed by HR analytics studies. The researchers selected 78 KCI-indexed empirical articles on HR analytics and categorized them using the Employee Life Cycle framework. This yielded several important findings. First, employee retention has been the most common subject of extant studies, followed by performance management. Second, HR analytics studies have used a variety of data (structured and unstructured) according to their research questions, and the data sources have ranged from organizations' internal systems to national databases. Third, most domestic HR analytics studies have been descriptive and diagnostic, whereas predictive and prescriptive studies have been rare. These results have important theoretical and practical implications for future HR analytics research.

• Korean Journal of Community Nutrition
• /
• v.7 no.1
• /
• pp.130-140
• /
• 2002

The purpose of this study was to examine the customer’s perception of the importance of restaurant quality by using a developed SERVQUAL model. In particular, it was intended to provide the basic information for nutrition education for family’s eating out. the data were collected through the survey over 440 families who have lived around the apartments in Kyongju and Seoul. The structure questionnaire included 35 items evaluating the quality of restaurants, adapting SERVQUAL model and adding other factors related to restaurant and the general characteristics of the families. The data were analyzed using SPSS 10.0 WIN program for descriptive analysis, a chi-square test and Pearson’s correlation test. The major results were as follows: From the factor analysis, the 35 items related to the quality of restaurant have been categorized into 10 factors, ie., ‘Health’, ‘Reliability’, ‘Employee’, ‘Food’, ‘Facilities’, ‘Product’, ‘Empathy’, ‘Access’, ‘Comfort’, and ‘Safety’. From the analysis of the correlation between family life cycle of four steps and 10 factors, four factors such as ‘Health’, ‘Facilities’ (p<0.001), ‘Comfort’ (p<0.01) and ‘Product’ (p<0.05) showed statistical significance. ‘Health’ and ‘Product’ factors marked the highest score in the family with senior couple live without children or single, but the lowest score in the family with young couple without children or single. ‘Facilities’ and ‘Comfort’ factors showed the highest scores in the family with under elementary school children, and the lowest scores in the family with over elementary school children.