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Exact algorithms for the feedback length minimisation problem EI Scopus SSCI SCIE
期刊论文 | 2019 , 57 (2) , 544-559 | International Journal of Production Research
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Planning the sequence of interrelated activities of production and manufacturing systems has become a challenging issue due to the existence of cyclic information flows. This study develops efficient exact algorithms for finding an activity sequence with minimum total feedback length in a design structure matrix. First, we present two new properties of the problem. Second, based on the properties, we develop an efficient Parallel Branch-and-Prune algorithm (PBP). Finally, the proposed PBP is further improved by adopting hash functions representing activity sequences, which is referred as hash function-based PBP. Experimental results indicate that the proposed hash function-based PBP can find optimal solutions for problems up to 25 interrelated activities within 1 h, and outperforms existing methods. © 2018 Informa UK Limited, trading as Taylor & Francis Group

Keyword :

Activity sequence Branch-and-prune algorithms Design Structure Matrices Efficient exact algorithms Information flows Iterative process Optimal solutions Parallel branches

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GB/T 7714 Shang, Zhen , Zhao, Songzheng , Qian, Yanjun et al. Exact algorithms for the feedback length minimisation problem [J]. | International Journal of Production Research , 2019 , 57 (2) : 544-559 .
MLA Shang, Zhen et al. "Exact algorithms for the feedback length minimisation problem" . | International Journal of Production Research 57 . 2 (2019) : 544-559 .
APA Shang, Zhen , Zhao, Songzheng , Qian, Yanjun , Lin, Jun . Exact algorithms for the feedback length minimisation problem . | International Journal of Production Research , 2019 , 57 (2) , 544-559 .
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Utilizing multi-source data in popularity prediction for shop-type recommendation EI SSCI SCIE
期刊论文 | 2019 , 165 , 253-267 | Knowledge-Based Systems
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It is important for an investor to determine the most suitable shop type (e.g., restaurant, cafe) given a location. Traditionally, investors determine shop types based on their subjective judgments and perceptions. However, insufficient information and cognitive limitation often lead to flawed decisions and increase investment risks. With advances in information technology, multi-source heterogeneous information and big data analytics can be utilized to provide support for making such a decision. In this paper, we propose a novel shop-type recommendation method that suggests a suitable shop type based on multi-source information collected from a business review site, a location-based navigation system and a mobile carrier. Specifically, our method first constructs the location-type matrix to alleviate the problem of incomplete data and models the location profile by considering internal and external features simultaneously. In particular, a hybrid similarity model is proposed to integrate the location profile and the commercial structure into a unified framework. Then, a location-based collaborative filtering method is developed to predict shop popularity and suggest a suitable shop type. Finally, we demonstrate the effectiveness of our method compared to several benchmark methods by applying it to a real-world dataset from China. © 2018 Elsevier B.V.

Keyword :

Collaborative filtering methods Heterogeneous information Multi-source informations Multisource data Popularity predictions Recommendation methods Shop-type recommendation Similarity measurements

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GB/T 7714 Mao, Xiaoxin , Zhao, Xi , Lin, Jun et al. Utilizing multi-source data in popularity prediction for shop-type recommendation [J]. | Knowledge-Based Systems , 2019 , 165 : 253-267 .
MLA Mao, Xiaoxin et al. "Utilizing multi-source data in popularity prediction for shop-type recommendation" . | Knowledge-Based Systems 165 (2019) : 253-267 .
APA Mao, Xiaoxin , Zhao, Xi , Lin, Jun , Herrera-Viedma, Enrique . Utilizing multi-source data in popularity prediction for shop-type recommendation . | Knowledge-Based Systems , 2019 , 165 , 253-267 .
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Strategies for new product diffusion: Whom and how to target? SSCI Scopus
期刊论文 | 2018 , 83 , 111-119 | JOURNAL OF BUSINESS RESEARCH
WoS CC Cited Count: 3 SCOPUS Cited Count: 4
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This paper examines the promotional strategies for new product diffusion by leveraging peer effects among consumers. Previous studies have offered conflicting recommendations on whom to target (e.g., influentials, susceptibles, or unsusceptibles) with respect to new product promotions. Utilizing agent-based modeling and simulation (ABMS), we show that each of the proposed consumer groups can be a promising target, depending on how they are targeted, according to target size and promotion intensity. The authors further recommend the optimal combination of whom and how to target under budget constraints. Specifically, where a budget is limited, the best approach is to target as many susceptibles as possible with a weak promotion. Targeting unsusceptibles with free products should be the first choice, where the budget is large. In other cases, the best approach is to target as many influentials as possible with a moderate promotion.

Keyword :

Peer effects New product diffusion Targeting strategies New product promotion Agent-based modeling and simulation (ABMS)

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GB/T 7714 Hu, Hai-hua , Lin, Jun , Qian, Yanjun et al. Strategies for new product diffusion: Whom and how to target? [J]. | JOURNAL OF BUSINESS RESEARCH , 2018 , 83 : 111-119 .
MLA Hu, Hai-hua et al. "Strategies for new product diffusion: Whom and how to target?" . | JOURNAL OF BUSINESS RESEARCH 83 (2018) : 111-119 .
APA Hu, Hai-hua , Lin, Jun , Qian, Yanjun , Sun, Jian . Strategies for new product diffusion: Whom and how to target? . | JOURNAL OF BUSINESS RESEARCH , 2018 , 83 , 111-119 .
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Scheduling Interrelated Activities Using Insertion-Based Heuristics EI SSCI SCIE Scopus
期刊论文 | 2018 , 65 (1) , 113-127 | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
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The issue of scheduling interrelated activities is important and of particular concern to design managers. One tool that helps us to solve this issue is the design structure matrix (DSM) which can explicitly represent the information dependencies among interrelated activities. Based on the DSM method, this study presents effective approaches for sequencing interrelated activities with the goal of minimizing total feedback length, which is a good approximation for reducing project completion time. First, we prove two new properties of the problem, and develop an insertion-based heuristic. Second, the proposed heuristic is further improved by combing it with simulated annealing and genetic algorithm. Computer experiments show that our approaches outperform existing heuristics, in that with similar settings, our approaches often produces better solutions.

Keyword :

heuristics Design structure matrix (DSM) interrelated activities product development

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GB/T 7714 Lin, Jun , Huang, Weihao , Qian, Yanjun et al. Scheduling Interrelated Activities Using Insertion-Based Heuristics [J]. | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2018 , 65 (1) : 113-127 .
MLA Lin, Jun et al. "Scheduling Interrelated Activities Using Insertion-Based Heuristics" . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 65 . 1 (2018) : 113-127 .
APA Lin, Jun , Huang, Weihao , Qian, Yanjun , Zhao, Xi . Scheduling Interrelated Activities Using Insertion-Based Heuristics . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2018 , 65 (1) , 113-127 .
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Tourist movement patterns understanding from the perspective of travel party size using mobile tracking data: A case study of Xi'an, China SSCI Scopus
期刊论文 | 2018 , 69 , 368-383 | TOURISM MANAGEMENT
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Travel party size has been shown to affect tourists' behavior. However, due to a previous lack of big-data analytical techniques, there remains limited research on the effect of party size on tourist movements from a large-scale perspective. This paper presents an empirical case study on the understanding of tourist movement patterns from the perspective of party size using mobile tracking data in Xi'an, China. A Fine-grained Travel Party Partition (FTPP) method is proposed to automatically distinguish accompanied tourists from a dataset of all tourists in Xi'an. After aggregating travel parties according to the size, tourist movement patterns are compared across different party sizes from demographic, spatial and temporal aspects. We further discuss how the obtained insights can help the stakeholders in travel package improvement, connectivity enhancement among attractions, attraction planning and management, and personalized next-attraction recommendation.

Keyword :

Travel party size Tourist movement pattern Mobile tracking data

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GB/T 7714 Zhao, Xi , Lu, Xiaoni , Liu, Yuanyuan et al. Tourist movement patterns understanding from the perspective of travel party size using mobile tracking data: A case study of Xi'an, China [J]. | TOURISM MANAGEMENT , 2018 , 69 : 368-383 .
MLA Zhao, Xi et al. "Tourist movement patterns understanding from the perspective of travel party size using mobile tracking data: A case study of Xi'an, China" . | TOURISM MANAGEMENT 69 (2018) : 368-383 .
APA Zhao, Xi , Lu, Xiaoni , Liu, Yuanyuan , Lin, Jun , An, Jun . Tourist movement patterns understanding from the perspective of travel party size using mobile tracking data: A case study of Xi'an, China . | TOURISM MANAGEMENT , 2018 , 69 , 368-383 .
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The trade-off between knowledge exploration and exploitation in technological innovation SSCI Scopus
期刊论文 | 2018 , 22 (4) , 781-801 | JOURNAL OF KNOWLEDGE MANAGEMENT
SCOPUS Cited Count: 1
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Purpose This study aims to clarify the effect of team effort allocation between knowledge exploration and exploitation on the generation of extremely good or poor innovations. The influence of previous collaborative experience among team members on the effect of team effort allocation is also investigated to understand the relationship between team members' collaboration networks and knowledge learning. Design/methodology/approach This study uses data of all patents granted by the US Patent and Trademark Office between 1984 and 2010. The inventors involved in a patent are regarded as members of the focal team. Logistic regression is used to analyze the data. Findings Allocating greater effort to exploration than to exploitation is beneficial to achieving breakthrough innovations despite the risk of generating particularly poor innovations. This benefit increases with collaborative experience among team members. Placing an equal emphasis on knowledge exploration and exploitation is not particularly effective in achieving breakthrough innovations; it is, however, the best strategy for avoiding particularly poor innovations. Originality/value This research not only provides valuable insights for research on innovation and knowledge management by studying the team effort allocation strategy used to achieve breakthroughs and avoid particularly poor innovations but also represents an advancement in bridging two streams of research - knowledge learning and social networks - by highlighting the influence of the team members' collaborative networks on the effect of team effort allocation between knowledge exploration and exploitation.

Keyword :

Technological innovation Knowledge learning Knowledge exploitation Breakthrough Collaborative network Knowledge exploration

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GB/T 7714 Li, Dehong , Lin, Jun , Cui, Wentian et al. The trade-off between knowledge exploration and exploitation in technological innovation [J]. | JOURNAL OF KNOWLEDGE MANAGEMENT , 2018 , 22 (4) : 781-801 .
MLA Li, Dehong et al. "The trade-off between knowledge exploration and exploitation in technological innovation" . | JOURNAL OF KNOWLEDGE MANAGEMENT 22 . 4 (2018) : 781-801 .
APA Li, Dehong , Lin, Jun , Cui, Wentian , Qian, Yanjun . The trade-off between knowledge exploration and exploitation in technological innovation . | JOURNAL OF KNOWLEDGE MANAGEMENT , 2018 , 22 (4) , 781-801 .
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基于Hotelling模型的双寡头免费增值策略竞争分析 CSCD CSSCI-E PKU
期刊论文 | 2018 , (4) , 15-21 | 运筹与管理
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软件产品的经验性和强网络效应使得企业往往依靠免费的基础产品积聚人气,再通过收费的增值产品或服务来盈利.现有免费增值策略相关研究多局限于垄断情况,对多个企业之间的竞争交互鲜有探讨.基于产品网络效应和消费者偏好差异,本文构建Hotelling模型研究了双寡头企业免费增值策略博弈均衡及其影响因素.结果表明:若网络效应相对较强,企业都应采用免费增值策略;若网络效应相对较弱,都不采用;若网络效应相对处于中等水平,存在"都不采用"和"都采用"两种可能的均衡结果,但前者情况下双方企业都能获得更大利润.另外,消费者对企业之间的水平差异越敏感,对免费版本的质量要求越高,企业采用免费增值策略的动力越弱,"都不采用"区域扩大,而"都采用"区域缩小.

Keyword :

Hotelling模型 免费增值 网络效应 功能限制型免费试用

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GB/T 7714 王海平 , 刘树林 , 林军 . 基于Hotelling模型的双寡头免费增值策略竞争分析 [J]. | 运筹与管理 , 2018 , (4) : 15-21 .
MLA 王海平 et al. "基于Hotelling模型的双寡头免费增值策略竞争分析" . | 运筹与管理 4 (2018) : 15-21 .
APA 王海平 , 刘树林 , 林军 . 基于Hotelling模型的双寡头免费增值策略竞争分析 . | 运筹与管理 , 2018 , (4) , 15-21 .
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基于专利统计的绿色技术创新文献分析及趋势探究 CSSCI-E PKU
期刊论文 | 2018 , (4) , 260-266 | 科技管理研究
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收集Web of Science上基于专利统计的绿色技术创新实证研究文献,时间截至2016年12月31日.划分4个维度对现有文献进行量化分析,并对现有文献进行分类和系统性梳理.结果表明,基于专利的绿色技术创新研究备受学者关注,主要来自美国、中国、德国、意大利,研究成果的质量较高且存在密切的引证关系,研究焦点为环境、能源与经济三方面;挖掘专利数据库中绿色专利的常用方法有3种,选择合适的测度方法是提高研究质量的关键;探讨绿色技术创新转移及演化机理、设计政府补贴机制与识别内部异质性因素、评估绿色技术创新的经济效益是未来的研究趋势.

Keyword :

专利统计 文献分析 趋势探讨 绿色技术创新

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GB/T 7714 朱容辉 , 刘树林 , 林军 . 基于专利统计的绿色技术创新文献分析及趋势探究 [J]. | 科技管理研究 , 2018 , (4) : 260-266 .
MLA 朱容辉 et al. "基于专利统计的绿色技术创新文献分析及趋势探究" . | 科技管理研究 4 (2018) : 260-266 .
APA 朱容辉 , 刘树林 , 林军 . 基于专利统计的绿色技术创新文献分析及趋势探究 . | 科技管理研究 , 2018 , (4) , 260-266 .
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留学经历对科研人员至关重要吗?——以高被引国际论文为例 CSSCI-C PKU
期刊论文 | 2018 , (5) , 100-106 | 情报资料工作
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基于汤森路透的Essential Science Indicators(ESI)数据库,文章探讨了留学经历对我国科研人员产出高被引国际论文的影响,并进一步研究了学科对这种影响的调节作用.主要结论如下:(1)整体而言取得国外博士学位对中国学者发表高被引国际论文有显著的促进作用;(2)出国访问交流对发表高被引国际论文的促进作用不显著;(3)相比理工科,取得国外博士学位对医学和人文学科的学者发表高被引国际论文的促进作用更强.

Keyword :

高被引论文 留学经历 学科差异 学术创新

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GB/T 7714 钱艳俊 , 林军 , 景飞 et al. 留学经历对科研人员至关重要吗?——以高被引国际论文为例 [J]. | 情报资料工作 , 2018 , (5) : 100-106 .
MLA 钱艳俊 et al. "留学经历对科研人员至关重要吗?——以高被引国际论文为例" . | 情报资料工作 5 (2018) : 100-106 .
APA 钱艳俊 , 林军 , 景飞 , 任娟 . 留学经历对科研人员至关重要吗?——以高被引国际论文为例 . | 情报资料工作 , 2018 , (5) , 100-106 .
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市场接纳不确定下短周期新产品产能投资研究——考虑竞争的投资时机与规模决策 CSCD CSSCI-E PKU
期刊论文 | 2018 , (3) , 118-125 | 运筹与管理
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新产品的市场接纳具有很大不确定性,传统投资理论并不适用于新产品投资.针对新产品投资中的产能投资,研究了垄断企业和有成本差异的竞争企业制定短周期新产品的产能投资时机与规模策略.给定企业"早"和"晚"两个投资时机可供选择,定义"早"投资时,企业只知道新产品市场规模的期望和方差;"晚"投资时,企业知道新产品真实的市场规模.垄断企业进入市场之前无法进行销售信息的收集,只会选择"早"投资或者不投资,给出其选择"早"投资的条件、最优产能投资规模及最大期望利润.有成本差异企业竞争的情形可以分为四种,分别给出四种情形下的最优产能投资规模及最大期望利润,并通过比较各情形下两企业的最大期望利润给出最优的产能投资时机策略.

Keyword :

新产品 产能投资 竞争 投资决策 短周期

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GB/T 7714 燕夏敏 , 林军 , 崔文田 et al. 市场接纳不确定下短周期新产品产能投资研究——考虑竞争的投资时机与规模决策 [J]. | 运筹与管理 , 2018 , (3) : 118-125 .
MLA 燕夏敏 et al. "市场接纳不确定下短周期新产品产能投资研究——考虑竞争的投资时机与规模决策" . | 运筹与管理 3 (2018) : 118-125 .
APA 燕夏敏 , 林军 , 崔文田 , 钱艳俊 . 市场接纳不确定下短周期新产品产能投资研究——考虑竞争的投资时机与规模决策 . | 运筹与管理 , 2018 , (3) , 118-125 .
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