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Jian Liang [4]Jianqing Liang [1]
  1. Monetary Intelligence and Behavioral Economics: The Enron Effect—Love of Money, Corporate Ethical Values, Corruption Perceptions Index, and Dishonesty Across 31 Geopolitical Entities.Modupe F. Adewuyi, Bolanle E. Adetoun, Ningyu Tang, Jingqiu Chen, Anna Maria Manganelli, Luigina Canova, Martina Trontelj, Caroline Urbain, Theresa Li-Na Tang, Allen F. Stembridge, Petar Skobic, Elisaveta Gjorgji Sardžoska, Marko Polic, Horia D. Pitariu, Ruja Pholsward, Francisco José Costa Pereira, Mehmet Ferhat Özbek, AAhad M. Osman-Gani, Johnsto E. Osagie, Anthony Ugochukwu Obiajulu Nnedum, Richard T. Mpoyi, Alice S. Moreira, Eva Malovics, Jian Liang, Kilsun Kim, Ali Mahdi Kazem, Chin-Kang Jen, Abdul Hamid Safwat Ibrahim, Consuelo Garcia de la Torre, Linzhi Du, Rosario Correia, Bor-Shiuan Cheng, Mark G. Borg, Abdulgawi Salim Al-Zubaidi, Michael W. Allen, Adebowale Akande, Peter Vlerick, Roberto Luna-Arocas, Brigitte Charles-Pauvers, Randy Ki-Kwan Chiu, Ilya E. Garber, Fernando Arias-Galicia, Thompson S. H. Teo, Vivien K. G. Lim, Mahfooz A. Ansari, Toto Sutarso & Thomas Li-Ping Tang - 2018 - Journal of Business Ethics 148 (4):919-937.
    Monetary intelligence theory asserts that individuals apply their money attitude to frame critical concerns in the context and strategically select certain options to achieve financial goals and ultimate happiness. This study explores the dark side of monetary Intelligence and behavioral economics—dishonesty. Dishonesty, a risky prospect, involves cost–benefit analysis of self-interest. We frame good or bad barrels in the environmental context as a proxy of high or low probability of getting caught for dishonesty, respectively. We theorize: The magnitude and intensity of (...)
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  2. Monetary Intelligence and Behavioral Economics Across 32 Cultures: Good Apples Enjoy Good Quality of Life in Good Barrels.Ningyu Tang, Jingqiu Chen, Martina Trontelj, Caroline Urbain, Theresa Li-Na Tang, Allen F. Stembridge, Petar Skobic, Elisaveta Gjorgji Sardžoska, Marko Polic, Horia D. Pitariu, Ruja Pholsward, Francisco José Costa Pereira, Mehmet Ferhat Özbek, AAhad M. Osman-Gani, Johnsto E. Osagie, Anthony Ugochukwu Obiajulu Nnedum, Richard T. Mpoyi, Alice S. Moreira, Anna Maria Manganelli, Eva Malovics, Jian Liang, Kilsun Kim, Ali Mahdi Kazem, Chin-Kang Jen, Abdul Hamid Safwat Ibrahim, Consuelo Garcia de la Torre, Linzhi Du, Rosario Correia, Bor-Shiuan Cheng, Luigina Canova, Mark G. Borg, Abdulgawi Salim Al-Zubaidi, Michael W. Allen, Adebowale Akande, Peter Vlerick, Roberto Luna-Arocas, Brigitte Charles-Pauvers, Randy Ki-Kwan Chiu, Ilya E. Garber, Fernando Arias-Galicia, Thompson Sian Hin Teo, Vivien Kim Geok Lim, Mahfooz A. Ansari, Toto Sutarso & Thomas Li-Ping Tang - 2018 - Journal of Business Ethics 148 (4):893-917.
    Monetary Intelligence theory asserts that individuals apply their money attitude to frame critical concerns in the context and strategically select certain options to achieve financial goals and ultimate happiness. This study explores the bright side of Monetary Intelligence and behavioral economics, frames money attitude in the context of pay and life satisfaction, and controls money at the macro-level and micro-level. We theorize: Managers with low love of money motive but high stewardship behavior will have high subjective well-being: pay satisfaction and (...)
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  3.  22
    The Challenges of Medical Ethics in China: Are Gene-Edited Babies Enough?Zeng Jie Ye, Xiao Ying Zhang, Jian Liang & Ying Tang - 2020 - Science and Engineering Ethics 26 (1):123-125.
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  4.  14
    Multi-view graph convolutional networks with attention mechanism.Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li & Feilong Cao - 2022 - Artificial Intelligence 307 (C):103708.
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  5.  19
    Modeling and Dynamic Control of a Class of Semibiomimetic Robotic Fish.Shouxu Zhang, Bo Jiang, Xiaoxuan Chen, Jian Liang, Peng Cui & Xinxin Guo - 2018 - Complexity 2018:1-8.
    This paper proposes a new robotic fish which avoids the complex mechanical structure and reduces the model complexity comparing to the existing bioinspired robotic fish, giving rise to a semibiomimetic robotic fish. The generalized Lagrange equation is adopted to establish the dynamic model of the robotic fish. The controllability of the system is analyzed, upon which a trajectory tracking control algorithm is designed by using the feedback linearization technique. The simulation results show that the dynamic model adopted in this paper (...)
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