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Who Will Leave The Company?: A Large-Scale Industry Study Of Developer Turnover By Mining Monthly Work Report, Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
Who Will Leave The Company?: A Large-Scale Industry Study Of Developer Turnover By Mining Monthly Work Report, Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
Research Collection School Of Computing and Information Systems
Software developer turnover has become a big challenge for information technology (IT) companies. The departure of key software developers might cause big loss to an IT company since they also depart with important business knowledge and critical technical skills. Understanding developer turnover is very important for IT companies to retain talented developers and reduce the loss due to developers' departure. Previous studies mainly perform qualitative observations or simple statistical analysis of developers' activity data to understand developer turnover. In this paper, we investigate whether we can predict the turnover of software developers in non-open source companies by automatically analyzing monthly …
Technology Investment Decision-Making Under Uncertainty: The Case Of Mobile Payment Systems, Robert J. Kauffman, Jun Liu, Dan Ma
Technology Investment Decision-Making Under Uncertainty: The Case Of Mobile Payment Systems, Robert J. Kauffman, Jun Liu, Dan Ma
Research Collection School Of Computing and Information Systems
The recent launch of Google Wallet has brought the issue of technology solutions in mobile payments (m-payments) to the forefront. In deciding whether and when to adopt m-payments, senior managers in banks are concerned about uncertainties regarding future market conditions, technology standards, and consumer and merchant responses, especially their willingness to adopt. This study applies economic theory and modeling for decision-making under uncertainty to bank investments in m-payment systems technology. We assess the projected benefits and costs of investment as a continuous-time stochastic process to determine optimal investment timing. We find that the value of waiting to adopt jumps when …
Medical Students' Personality Characteristics And Academic Performance: A Five-Factor Model Perspective, Filip Lievens, Pol Coetsier, Filip De Fruyt, Jan De Maeseneer
Medical Students' Personality Characteristics And Academic Performance: A Five-Factor Model Perspective, Filip Lievens, Pol Coetsier, Filip De Fruyt, Jan De Maeseneer
Research Collection Lee Kong Chian School Of Business
Objectives: This study investigates: (1) which personality traits are typical of medical students as compared to other students, and (2) which personality traits predict medical student performance in pre-clinical years. Design: This paper reports a cross-sectional inventory study of students in nine academic majors and a prospective longitudinal study of one cohort of medical students assessed by inventory during their first pre-clinical year and by university examination at the end of each pre-clinical year. Subjects and methods: In 1997, a combined total of 785 students entered medical studies courses in five Flemish universities. Of these, 631 (80.4%) completed the NEO-PI-R …