本文评估了在过去20年间(2005-2024),管理学研究如何响应联合国可持续发展目标(Sustainable Development Goals,简称SDGs)。具体而言,本文比较了涵盖会计、金融、管理、市场营销与运营管理五大学科的18本国际顶尖商学与管理学期刊,以及...本文评估了在过去20年间(2005-2024),管理学研究如何响应联合国可持续发展目标(Sustainable Development Goals,简称SDGs)。具体而言,本文比较了涵盖会计、金融、管理、市场营销与运营管理五大学科的18本国际顶尖商学与管理学期刊,以及专注于中国管理研究的Management and Organization Review(MOR)在SDGs关注度上的差异。本文采用三种人工智能工具扫描论文摘要,并评估其与17项SDGs的契合度。结果显示,自2015年SDGs提出以来的10年间,其相关研究显著多于此前10年,增长最为显著的领域集中在SDG08(体面工作与经济增长)、SDG09(产业、创新与基础设施)以及SDG16(和平、正义与健全制度)。在所分析的期刊中,MOR在SDGs相关研究方面表现突出,凸显了其在负责任研究(Responsible Research)方面的学术引领重要作用。基于负责任研究的理念,本文进一步探讨了在学术研究中关注全体利益相关者(而非仅限股东)福祉的重要性。展开更多
In order to simulate the real growing process, a new type of knowledge network growth mechanism based on local world connectivity is constructed. By the mean-field method, theoretical prediction of the degree distribu...In order to simulate the real growing process, a new type of knowledge network growth mechanism based on local world connectivity is constructed. By the mean-field method, theoretical prediction of the degree distribution of the knowledge network is given, which is verified by Matlab simulations. When the new added node＇s local world size is very small, the degree distribution of the knowledge network approximately has the property of scale-free. When the new added node＇s local world size is not very small, the degree distribution transforms from pure power-law to the power-law with an exponential tailing. And the scale-free index increases as the number of new added edges decreases and the tunable parameters increase. Finally, comparisons of some knowledge indices in knowledge networks generated by the local world mechanism and the global mechanism are given. In the long run, compared with the global mechanism, the local world mechanism leads the average knowledge levels to slower growth and brings homogenous phenomena.展开更多
文摘本文评估了在过去20年间(2005-2024),管理学研究如何响应联合国可持续发展目标(Sustainable Development Goals,简称SDGs)。具体而言,本文比较了涵盖会计、金融、管理、市场营销与运营管理五大学科的18本国际顶尖商学与管理学期刊,以及专注于中国管理研究的Management and Organization Review(MOR)在SDGs关注度上的差异。本文采用三种人工智能工具扫描论文摘要,并评估其与17项SDGs的契合度。结果显示,自2015年SDGs提出以来的10年间,其相关研究显著多于此前10年,增长最为显著的领域集中在SDG08(体面工作与经济增长)、SDG09(产业、创新与基础设施)以及SDG16(和平、正义与健全制度)。在所分析的期刊中,MOR在SDGs相关研究方面表现突出,凸显了其在负责任研究(Responsible Research)方面的学术引领重要作用。基于负责任研究的理念,本文进一步探讨了在学术研究中关注全体利益相关者(而非仅限股东)福祉的重要性。
基金The National Natural Science Foundation of China(No70571013,70973017)Program for New Century Excellent Talentsin University (NoNCET-06-0471)Human Social Science Fund Project ofMinistry of Education (No09YJA630020)
文摘In order to simulate the real growing process, a new type of knowledge network growth mechanism based on local world connectivity is constructed. By the mean-field method, theoretical prediction of the degree distribution of the knowledge network is given, which is verified by Matlab simulations. When the new added node＇s local world size is very small, the degree distribution of the knowledge network approximately has the property of scale-free. When the new added node＇s local world size is not very small, the degree distribution transforms from pure power-law to the power-law with an exponential tailing. And the scale-free index increases as the number of new added edges decreases and the tunable parameters increase. Finally, comparisons of some knowledge indices in knowledge networks generated by the local world mechanism and the global mechanism are given. In the long run, compared with the global mechanism, the local world mechanism leads the average knowledge levels to slower growth and brings homogenous phenomena.
