김영상 교수
Young-myeong Kim
성균관대학교 경영학과 · 경영학
연구실 소개
김영상 교수의 연구실은 조직의 인적자원 관리, 인공지능이 조직 내 평가 및 의사결정에 미치는 영향, 그리고 직장 내 소통 및 권력 역학에 중점을 두고 있습니다. 특히 인사관리 전략이 기업 성과에 미치는 영향, 알고리즘 평가가 직원의 자존감과 인식에 미치는 영향, 그리고 직장 내 소문이 개인의 권력 경험에 어떻게 작용하는지에 대한 연구를 진행하고 있습니다. 또한 글로벌 문화 차이가 AI 아바타의 외형 선호도에 미치는 영향에 대해서도 다각도로 분석하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15This study integrates research from strategy, economics, and applied psychology to examine how organizations may leverage their human resources to enhance firm performance and competitive advantage. Staffing and training are key human resource management practices used to achieve firm performance through acquiring and developing human capital resources. However, little research has examined whether and why staffing and training influence firm-level financial performance (profit) growth under dif
The expectation that selection practices contribute to organizational performance has been long assumed; however, research on personnel selection has neglected to consider why firms differ in their use of selection practices and whether selection practices relate to organizational performance under different competitive environments. Based on strategic human resource management research, we introduce contingency theory to examine whether external (industry characteristics) and internal (prior fi
Although workplace gossip is ubiquitous, more scholarship is needed to determine how employees may use gossip to attain valuable social resources at work—namely, their experience of power. Drawing from the gossip literature and research on power in the workplace, we identify proximal (i.e., increased power accrual) and distal (i.e., diminished voluntary turnover) positive outcomes for employees enacting negative and positive gossip about the organization at work. Using a sample of 338 nurses, we
As firms increasingly depend on artificial intelligence to evaluate people across various contexts (e.g., job interviews, performance reviews), research has explored the specific impact of algorithmic evaluations in the workplace. In particular, the extant body of work focuses on the possibility that employees may perceive biases from algorithmic evaluations. We show that although perceptions of biases are indeed a notable outcome of AI-driven assessments (vs. those performed by humans), a cruci
Abstract Prior studies have suggested that downsizing events can lead to a contagion of voluntary turnover among employees. In the current study, drawing on the turnover event theory, we propose that the relationship between downsizing and turnover can be nonlinear. We also propose that the presence of collective pay‐for‐performance (PFP) practices is an important but overlooked contingency that moderates the effects of downsizing. By analyzing a dataset collected from 317 firms with 634 firm‐ye
We analyzed international differences in preferences related to the two dimensional (2D) versus three dimensional (3D) and male versus female external appearance of artificial intelligence (AI) agents for use in self-driving automobiles. We recruited 823 participants in five countries (South Korea, United States, China, Russia, and Brazil), who completed a survey. South Korean, Chinese, and North American respondents preferred a 2D appearance of the AI agent, which appears to result from the rel
In this paper, we investigate and analyze the expected per-node throughput in a wireless sensor network under a randomized sleep scheduling framework with a connectivity constraint. The unique optimal sleep probability maximizing the per-node throughput in the network is found. A sleep probability range in which the throughput monotonically increases along the sleep probability does exist, and it becomes a large portion of the total range when a network is heavy-traffic. This finding contradicts
This paper shows what kind of influence the learning motivation factors have on the effectiveness of Flipped Learning Model through the case of operating a JAVA programming subject. The Flipped Learning Approach consisting of Before Class, Before or At Start of Class, and In Class provides the students with learning motivation as well as satisfies Keller's ARCS(Attention, Relevance, Confidence, Satisfaction) to keep them studying steadily. This research conducts the operation of Flipped Learning
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