2022年度，北京邮电大学经济管理学院聚焦国家重大战略需求，深入开展有组织科研，获得2项国家社科基金重大项目、1项国家社科基金重点项目的历史性突破，学术论文的发表质量也再创新高。在《管理世界》、《公共管理学报》、《数量经济技术经济研究》等中文期刊，以及《International Journal of Production Economics》、《Technological Forecasting and Social Change》、《IEEE Transactions on Knowledge and Data Engineering》等英文期刊上发表了数十篇权威论文，下面选取了本院教师为第一作者的部分代表性论文成果做详细介绍。
经济管理学院将再接再厉，持续提升学术论文的发表质量，突出数字经济研究特色，开展从0到1的基础研究任务，解决经济社会发展中的重大问题，引导高质量成果转化产业化，为学院的学科发展和学位点建设提供有力支撑。
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期刊：管理世界
期刊介绍：AMI顶级；国家自然科学基金委管理科学部认定的A级重要期刊
论文题目：国有股东与战略投资者如何“混”与“合”？——基于中国联通与云南白药的双案例研究
作者：张斌（本院教师）；武常岐；谢佩洪
摘要：引进战略投资者是新时期混合所有制改革的一种重要方式。然而，混合所有制的相关理论发展滞后于实践探索，对于国有股东与战略投资者如何混合，才能实现价值共创的问题仍缺乏系统性阐释。基于对中国联通和云南白药混改实践的深度探索，本文将国有股东与战略投资者的混合分解为权力维度的“混”，以及资源与治理维度的“合”。通过在数据、文献与理论之间的反复对接和迭代分析，本文尝试构建了国有股东与战略投资者“混”与“合”的理论模型。研究发现，国有股东与战略投资者的混合过程涌现出了两种模式：一是国民共享，即国有主导的权力平衡与“治理优化+资源协同”的战略组合相匹配；二是国民共治，即民营主导的权力平衡与“治理重构+资源重配”的战略组合相匹配。本文为理解国有股东与战略投资者的混合过程提供了系统性理论框架，治理建构差异的发现有助于丰富代理理论，资源整合不同的提出有助于拓展资源基础理论，同时也挑战了混合所有制实践强调“改”而忽视“合”的传统认知。
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期刊：公共管理学报
期刊介绍：国家自然科学基金委管理科学部认定的A级重要期刊
论文题目：我国新一代人工智能治理的时代挑战与范式变革
作者：姜李丹（本院教师）；薛澜
摘要：本文立足于我国新一代人工智能的鲜明时代特征与多重治理挑战,全方位探析新时期我国人工智能治理的核心问题,创新性构建我国人工智能适应性治理的工作框架,并系统性刻画我国人工智能适应性治理的范式变革。研究发现:（1）我国新一代人工智能治理的核心问题主要包括整合技术社会复合体的离散性认知、实现系统生态主权的非均衡调适、突破包容审慎探索的有限性实践三个方面。（2）我国新一代人工智能适应性治理已经形成以“逻辑内核-秩序重构-监管响应”为核心构成的清晰工作框架,其中技术社会复合体、生态重心偏移、秩序需求重构成为其稳定特性存在,而治理对象、治理理念、治理主体、治理工具则成为其动态特性存在。（3）我国新一代人工智能适应性治理经历了探索式治理（2016前）、回应式治理（2017-2019）、集中式治理（2020-2021）、敏捷式治理（2022-）的范式变革历程,并且不同范式下技术创新力度与风险规制力度的组合特征存在显著的阶段性差异。
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期刊：数量经济技术经济研究
期刊介绍：AMI权威；国家自然科学基金委管理科学部认定的A级重要期刊
论文题目：自相关检验方法的检验功效研究
作者：王增民（本院教师）；李童
摘要：研究目标:探究DW检验和LM检验的检验功效及其渐近性。研究方法:运用蒙特卡罗模拟实验方法结合相关影响因素对两种检验方法进行分析与比较。影响因素包括样本容量、解释变量的随机性及自相关性、随机误差项的自相关程度以及分布形态。研究发现:DW和LM检验功效与样本容量和随机误差项的自相关程度正相关，与解释变量的自相关程度负相关；解释变量的随机性对DW和LM检验功效无显著影响；误差项的几种常见分布形态的变化对DW和LM检验功效的影响可以忽略；在误差项存在一阶自相关的情况下，DW检验效果优于LM检验效果。研究创新:以DW检验和LM检验的假设条件为出发点，探究比较不同条件下自相关检验方法的检验功效。研究价值:在实证研究背景下为有效地选择自相关检验方法提供借鉴参考。
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期刊：会计研究
期刊介绍：国家自然科学基金委管理科学部认定的A级重要期刊
论文题目：人工智能时代的会计伦理：内涵、转向与考量
作者：高锦萍（本院教师）；白羽新；高居平；万岩（本院教师）
摘要：会计伦理是处理各种会计目的和会计关系的原则和规范，揭示的是会计目的和会计关系中存在的伦理困境和伦理问题，本文基于伦理的内涵和转向来考量人工智能时代可能面临的会计伦理问题。人工智能时代，会计为相关服务对象提供关于经济活动的信息以及财务画面的目的不会改变，人工智能技术促进会计目的更优达成，同时人工智能技术黑箱、算法偏见和评价机械化等伦理问题会负面影响会计目的的实现。随着人工智能在会计领域的应用，不仅出现了新型会计角色之间的新会计关系，还出现了人和人工智能之间的会计关系，会计职业替代与人工智能鸿沟、会计责任规避以及企业分化等伦理问题给会计关系造成冲击。人机协同下，更重要的是规范人类的伦理行为，制定相应的会计伦理标准，从而使得财务机器人的特定行为标准合乎人类伦理，而不是去强调机器人的伦理主体地位。本文为事先预见人工智能会计发展中的伦理问题，后续开展伦理判断和伦理标准研究提供参考和借鉴。
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期刊：科研管理
期刊介绍：国家自然科学基金委管理科学部认定的A级重要期刊
论文题目：从科学到技术的知识传播机理研究：基于知识基因
作者：张生太（本院教师）；姬亚俊；仇泸毅（本院教师）；刘娜（本院教师）
摘要：基础研究是技术创新的重要源泉。从基础研究到技术创新的知识转化规律具有重要的理论与实践价值。鉴于以往研究中专利引文方法的局限性，本研究基于知识基因这种特殊知识单元，从知识内容流动的视角，定量研究从科学到技术的知识传播机理。以人工智能技术为研究案例，识别技术领域的知识基因和专利引用的5个关键基础学科，研究各学科与技术领域的知识关系。通过构建知识基因的传播级联网络模型，对知识基因从科学到技术的跨领域传播模式进行分析。研究发现：相比于专利科学引文，知识基因流动能够揭示从各学科到技术领域更加真实的知识传播关系；知识基因的短期影响力水平与来源学科有关；知识基因从科学到技术的跨领域传播受到马太效应影响；受异质性知识组合效应的影响，跨领域知识基因在传播网络规模、寿命、影响力及创新“催化”能力方面优于技术领域一般知识基因，后者的产生速度和传播速度则更快。研究结论为进一步深入探究从基础研究到技术创新的知识转化规律提供了微观层面的理论基础，同时，对新兴技术领域的创新预测、基础学科布局以及科技政策制定具有一定参考价值。
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期刊：科研管理
期刊介绍：国家自然科学基金委管理科学部认定的A级重要期刊
论文题目：可干预的人格特质：自我分化对员工创新的影响
作者：仇泸毅（本院教师）；张梦桃；王勔追；张生太（本院教师）
摘要：在企业数字化转型的关键时期,创新显得尤为重要。作为可干预的人格特质,自我分化是员工"以变应变"实现突破创新的关键因素。本文以资源保存理论为基础,对不同行业的企业组织中主管和员工进行调研,通过构建结构方程模型,从员工的内心和人际关系两个层面探讨自我分化对员工创新行为的影响,并进一步分析了心理距离在其中的中介作用。实证研究结果表明:（1）自我分化（内心层面和人际关系层面）对员工的创新行为有正向影响;（2）自我分化（内心层面和人际关系层面）通过心理距离的中介作用间接影响员工的创新行为。研究结果丰富了员工创新行为影响因素的相关研究,同时有助于管理者认识到自我分化这一人格特质的可干预性,对管理者激励高自我分化水平的员工发挥自身优势、引导低自我分化水平的员工挖掘自身潜能具有重要的实践意义。
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期刊：科学学研究
期刊介绍：国家自然科学基金委管理科学部认定的A级重要期刊
论文题目：数字创新生态系统共生模式研究
作者：宁连举（本院教师）；刘经涛；肖玉贤；孔德婧
摘要：数字创新生态系统的共生演化模式对于我国打造数字经济新优势，实现经济高质量发展具有强烈的现实意义。本文融合数字经济、生态系统、共生理论和博弈论等理论，考虑创新主体的多样性特征，构建数字创新生态系统两主体和三主体的Lotka-Volterra动态演化模型，研究数字创新生态系统的共生演化模式，通过数值模拟仿真验证并分析两主体核心式数字企业种群和卫星式数字企业种群的共生模式，在此基础上引入高校科研机构种群至数字创新生态系统以破解主流两主体共生模式的局限性，仿真分析研究高校科研机构种群的入驻对数字创新生态系统三主体共生关系及演化模式的影响。研究结果表明：（1）数字创新生态系统是由核心式数字企业共生单元、卫星式数字企业共生单元和高校科研院所共生单元在一定的共生环境中，共同开展数字创新活动的生态系统；（2）数字创新生态系统两主体共生发展存在数字技术资源过度依赖和协同不够的问题，难以真正实现互惠共生模式；（3）通过高校科研机构种群向数字创新生态系统注入创新活动可持续性的动力，达成数字创新生态系统演化的最佳目标导向——三主体互惠共生模式。最后提出中国数字创新生态系统走向互惠共生演化的策略建议。
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期刊：科学学研究
期刊介绍：国家自然科学基金委管理科学部认定的A级重要期刊
论文题目：人工智能赋能下产业创新生态系统的双重转型
作者：姜李丹（本院教师）；薛澜；梁正
摘要：当前，人工智能赋能不断推进技术创新和应用创新进入“双拐点”时期，正在从要素构成、功能边界、生态互动等多个维度对产业创新生态系统理论提出新挑战。本文集成自然生态系统和产业创新系统等相关理论，基于“核心驱动层-样态变革层”构建人工智能赋能下产业创新生态系统双重转型的理论框架，并以无人驾驶为例，深入剖析产业创新生态系统双重转型的运行逻辑和实践变革。研究发现结论如下：一是创新主体生态功能延展催生多宿主体和次生群落的出现，使得产业创新生态系统新型生态互动关系逐渐形成，成为产业创新生态系统由“旧四螺旋创新”向“新四螺旋创新”演进的核心动源；二是产业创新生态系统核心驱动与样态变革的相互作用日益增强，多宿主体和次生群落不断推动产业样态快速变革，使得产业样态呈现出价值分配重构、智能制造升级、商业模式转变、组织决策变革的发展特征。
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期刊：管理科学
期刊介绍：国家自然科学基金委管理科学部认定的A级重要期刊
论文题目：创新生态系统双重网络嵌入对企业创新的影响机制
作者：许冠南（本院教师）；胡伟婕；周源；吴晓波
摘要：随着科技创新活动不断突破地域、组织和技术的界限，创新研究对象由单个企业扩展到创新生态系统。创新生态系统涵盖知识和商业两个层面，其组织间联结形成了复杂交互的网络，但已有研究或囿于知识经济或商业经济某一视域，或侧重于宏观环境或微观个体某一层面，缺乏从社会网络中观视角对创新生态系统中科技与市场联动作用机制的深入探讨。基于社会网络理论，把创新生态系统解构为组织间交互联结而形成的知识网络和商业网络，从网络嵌入视角构筑创新生态系统知识–商业双重网络嵌入分析框架，提出双重网络嵌入及其交互作用对企业创新影响机制的概念模型。结合企业增值税发票数据库、国家知识产权局专利数据库和中国工业企业数据库提取海量多源异构数据，对国家制造强国建设中某重点城市数控机床产业相关企业开展实证研究。利用社会网络分析方法构建150 856家机构的商业网络、48 310家机构的知识网络，获取企业在创新生态系统中的双重网络嵌入信息，并进一步对其中349家核心企业进行负二项回归分析，以对研究假设进行检验。研究结果表明，创新生态系统知识网络嵌入连通度和支配度对企业技术创新均有显著正向影响，且二者作用效果没有显著性差异；创新生态系统商业网络嵌入支配度对企业技术创新有显著正向影响，但商业网络嵌入连通度对企业技术创新的影响并不显著；创新生态系统知识网络嵌入支配度与商业网络嵌入支配度的交互作用能正向促进企业技术创新，但知识网络与商业网络嵌入连通度的交互作用并不显著。研究结果弥补了已有创新生态系统研究中知识经济与商业经济彼此割裂的缺陷，丰富了创新生态系统中科技与市场联动和协同的理论基础，拓展了创新生态系统作用机制的网络内涵，为中国构筑和完善创新生态系统、促进创新驱动发展提供政策建议。
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期刊：International Journal of Production Economics
期刊介绍：中国科学院一区；JCR一区
论文题目：Combating unethical producer behavior: The value of traceability in produce supply chains
作者：刘恒宇（本院教师）
摘要：With produce's perishability and quality heterogeneity, unethical producers may claim false quality of their products in non-traceable produce supply chains (PSCs) to increase their orders and prices. The latest traceability technology, such as blockchain, offers a promising solution to circumvent this problem as it enables incorruptible visibility throughout the chain. In this paper, we develop a game theoretical model to explore the traceability value of combating unethical producer behavior in PSCs. We consider a PSC with heterogeneous producers (with different quality) and retailers (with different quality-price-ratio (QPR) preferences) under two scenarios: a non-traceable PSC (NPSC) and a traceable PSC (TPSC). Our results suggest that lacking traceability in a PSC will cause adverse selection, i.e., the producers will adopt symmetric quality claim and wholesale price decisions in NPSC. In TPSC, traceability enables the high-quality producers to enjoy higher wholesale prices and, in the meantime, higher market shares than the low-quality ones. Consequently, traceability can benefit the high-quality producers in most cases. However, the retailers cannot benefit from traceability because it reduces competition on the supply side and enables the high-quality producers to exploit their purchase power by strategically differentiating the QPRs of their products. Observing that traceability only benefits one stakeholder, we propose an incentive scheme to coordinate the chain and identify the conditions under which the high-quality producers will voluntarily share their real quality information to achieve a win-win situation with the retailers. Overall, traceability and the proposed incentive scheme can add value to a PSC when there are a small number of producers selling high-quality products on it. Finally, we extend our base model to analyze the impacts of consumers' quality consciousness, producers' ethics levels, and products' in-transit spoilage conditions on the traceability value in PSCs.
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期刊：Technological Forecasting and Social Change
期刊介绍：中国科学院一区；JCR一区
论文题目：Blockchain application and collaborative innovation in the manufacturing industry: Based on the perspective of social trust
作者：万滢霖（本院教师）；Yuchen Gao；Yimei Hu
摘要：We use Chinese A-share listed firms from the manufacturing industry during 2016–2019 to examine the impact of social trust and blockchain application on firms’ collaborative innovation. The results reveal that social trust among acquaintances and social trust among strangers have heterogeneous impacts on corporate collaborative innovation: Trust in strangers promotes firms’ collaborative innovation more than trust in acquaintances. We then analyze the external governance effects of blockchain applications, including the direct impact of blockchain applications on firms’ collaborative innovation, and the indirect impact of blockchain applications on the relationship between social trust and corporate collaborative innovation. We find that blockchain application enhances collaborative innovation and strengthens the positive impact of social trust on collaborative innovation. These results indicate that the application of blockchain technology improves the performances of firms’ collaborative innovation. It is therefore advisable for firms and governments to construct an ecosystem to facilitate the application of blockchain technologies.
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期刊：IEEE Transactions on Knowledge and Data Engineering
期刊介绍：CCF A类；JCR一区
论文题目：Distributed Multimodal Path Queries
作者：李雅文（本院教师）；Ye Yuan；Yishu Wang；Xiang Lian；Yuliang Ma；Guoren Wang
摘要：Multimodal path queries over transportation networks are receiving increasing attention due to their widespread applications. A multimodal path query consists of finding multimodal journeys from source to destination in transportation networks, including unrestricted walking, driving, cycling, and schedule-based public transportation. Transportation networks are generally continent-sized. This characteristic highlights the need for parallel computing to accelerate multimodal path queries. Meanwhile, transportation networks are often fragmented and distributively stored on different machines. This situation calls for exploiting parallel computing power for these distributed systems. Therefore, in this paper, we study distributed multimodal path (DMP) queries over large transportation networks. We develop algorithms to explore parallel computation. When evaluating a DMP query Q on a distributed multimodal graph Gmult , we show that the algorithms possess the following performance guarantees, irrespective of how Gmult is fragmented and distributed: (1) each machine is visited only once; (2) the total network traffic is determined by the size of Q and the fragmentation of Gmult ; (3) the response time is decided by the largest fragment of Gmult ; and (4) the algorithm is parallel scalable. Using real-life and synthetic data, we experimentally verify that the algorithms are scalable on large graphs.
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期刊：IEEE Transactions on Engineering Management
期刊介绍：JCR一区
论文题目：Mapping the Technological Landscape of Emerging Industry Value Chain Through a Patent Lens: An Integrated Framework With Deep Learning
作者：许冠南（本院教师）；Fang Dong；Jiawen Feng
摘要：Recent research applies patent autoclassification using machine learning to map the technological landscape of an industry value chain. However, when these methods are applied to emerging industries, the available patent sample data are small-scale and unevenly distributed, which cause overfitting and reduce the accuracy of patent classification. Therefore, this article proposes a framework to map the technological landscape of an emerging industry value chain through patent analysis with deep learning, which integrates a generative adversarial network as a data-augmentation method to overcome the problem of low-quality emerging-industry patent samples, and a deep neural network as a patent classifier. Based on this framework, this article conducts an application case of the 3-D printing industry. The evaluation results show that the integrated framework can effectively classify the patents with small-scale and unevenly distributed sample data, and depict the technological landscape of an emerging industry value chain. This article develops an efficient, reliable framework for patent autoclassification of emerging industries to overcome the lack of high-quality training samples, and it sheds light on the emerging industry value chain analysis with deep learning.
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期刊：Expert Systems with Applications
期刊介绍：中国科学院一区；JCR一区
论文题目：Iterated hyperplane search for the budgeted maximum coverage problem
作者：魏泽群（本院教师）；Jin-Kao Hao
摘要：We present an iterated hyperplane search approach for the budgeted maximum coverage problem. Our algorithm relies on the idea of searching on specific areas identified by cardinality-constrained hyperplanes. It combines three complementary procedures: a tabu search procedure to identify a promising hyperplane, a hyperplane search procedure to examine candidate solutions on cardinality-constrained hyperplanes and a dedicated perturbation procedure to ensure the diversification of the search. We show the competitiveness of the algorithm on 30 benchmark instances and present experiments to study the key components of the algorithm.
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期刊：Knowledge-Based Systems
期刊介绍：中国科学院一区；JCR一区
论文题目：Revealing the structure of prediction models through feature interaction detection
作者：张晓航（本院教师）；Hanying Zhang；Ji Zhu；Zhengren Li
摘要：In recent years, machine learning models have been employed for prediction in various domains. While the prediction performance has obviously improved, some models have become too complex to understand, and these models are called black-box models. Detecting the feature interactions is a useful technique to gain insight into the structure of black-box models. In this paper, we propose a method based on high dimensional model representation (HDMR) to reveal the structure of prediction models by detecting the feature interactions that are embedded in the models. The HDMR-based method can detect the k-way interactions without any constraints on k and can detect the interactions from both classification and regression models. Moreover, this method is model-agnostic and can detect both global and local interactions. Experiments on some synthetic and real datasets demonstrate that the HDMR-based method can detect feature interactions effectively and improve the model interpretability.
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期刊：Journal of Computational Design and Engineering
期刊介绍：JCR一区
论文题目：Towards an Internet of Energy for smart and distributed generation: applications, strategies, and challenges
作者：谷奇峰（本院教师）；Qiang Qu
摘要：The global demands for clean and sustainable energy are rapidly increasing because of population and economic growth. The future of energy essentially requires novel thinking and new systems to transform energy generation, distribution, and consumption. The Internet of Energy (IoE), as a new concept, transforms the way of energy production, supply, and consumption to fulfill high-energy demands via a smart network of industrial energy producers and consumers. The main objective of this paper is to address how the Internet of Things (IoT) would meet the requirements of smart and distributed power generation. We did a comprehensive literature review to provide insights into the IoE applications and enlighten the current challenges. Furthermore, the paper provides deep insights into the existing research challenges to address the current limitations of the IoE security issues, and potential directions are also pointed for future work. The findings of this study include identifying the requirements and enabler factors influencing the IoT-based distributed generation that would be useful for policymakers and decision-makers in the field.
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期刊：Journal of Occupational and Organizational Psychology
期刊介绍：ABS 4
论文题目：Leaders' response to employee overqualification: An explanation of the curvilinear moderated relationship
作者：江静（本院教师）；Yanan Dong；Hanlin Hu；Qing Liu；Yanjun Guan
摘要：This research aimed to advance overqualification literature by examining how leaders’ perceived employee overqualification (LPEO) influences their empowering behaviour and employee work behaviours. Drawing upon the individualized leadership theory, we proposed that LPEO has an inverted U-shape relationship with their empowering behaviour such that leaders are more motivated to empower employees from low to moderate levels of overqualification, but this tendency decreases after a certain inflection point. We also predicted that the inflection point occurs at a lower level of employee overqualification when leaders perceive higher (vs. lower) status threats. Leader empowering behaviour was hypothesized to positively predict employees’ voice and negatively predict their withdrawal behaviour. Two multi-source and time-lagged studies were conducted to examine this moderated mediation curvilinear model. In Study 1, survey data from 372 leader–employee dyads supported the inverted U-shape mediation model from leaders’ perceived overqualification to empowering behaviour, then to employee outcomes (i.e., voice and withdrawal behaviour). In Study 2, we collected data from a sample of 73 team leaders and 286 employees, and the results supported the full model. Taken together, these findings offer a perspective to enrich the understanding of employee overqualification and have important practical implications.
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期刊：Structural Change and Economic Dynamics
期刊介绍：JCR一区
论文题目：Political genes drive innovation: Political endorsements and low-quality innovation
作者：王砚羽（本院教师）；Qinghua You；Yuanbo Qiao
摘要：Drawing on institutional theory and resource dependent theory, this study proposed that political endorsement of a firm, playing as political genes, restrains it from pursuing the low-quality innovation. Using data on 2406 Chinese listed companies spanning from 2008 to 2016, we find that the political endorsement significantly inhibits low-quality innovation. That inhibition is stronger among firms with more slack resources and weaker in provinces with greater market liberalization. Our findings provide contributions on the low-quality innovation from political perspective, and benefit for the innovation implications.
