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Natural language processing(NLP)in management research:A literature review

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Journal of Management Analytics 2020年第2期7卷 139-172页

作者： Yue Kang Zhao Cai chee-wee tan Qian Huang Hefu Liu School of Management University of Science and Technology of ChinaHefeiPeople’s Republic of China Nottingham University Business School China University of Nottingham Ningbo ChinaNingboPeople’s Republic of China cDepartment of Digitalization Copenhagen Business SchoolCopenhagenDenmark

Natural language processing(NLP)is gaining momentum in management research for its ability to automatically analyze and comprehend human ***,despite its extensive application in management research,there is neither a comprehensive review of extant literature on such applications,nor is there a detailed walkthrough on how it can be employed as an analytical *** this end,we review articles in the UT Dallas List of 24 Leading Business Journals that employ NLP as their focal analytical technique to elucidate how textual data can be harnessed for advancing management theories across multiple *** describe the available toolkits and procedural steps for employing NLP as an analytical technique as well as its advantages and *** so doing,we highlight the managerial and technological challenges associated with the application of NLP in management research in order to guide future inquires.

关键词： natural language processing literature review sentiment analysis machine learning

Health analytics in business research:a literature review

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Journal of Management Analytics 2023年第3期10卷 447-476页

作者： Quanchen Liu Mengli Yu Bingqing Xiong Zhao Cai Pengzhu Zhang chee-wee tan Antai College of Economics&Management Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of China Department of Digitalization Copenhagen Business SchoolFrederiksbergDenmark School of Journalism and Communication Nankai UniversityTianjinPeople’s Republic of China Convergence Media Research Center Nankai UniversityTianjinPeople’s Republic of China Deakin Business School Deakin UniversityBurwoodVICAustralia fNottingham University Business School China University of Nottingham Ningbo ChinaNingboChina

Technological advances have enabled the collection of large quantities of valuable data for health-related ***,a growing number of scholars are paying attention to the application of health analytics to business topics.A comprehensive analysis of health analytics application in business research is necessary to realize the commercial value of health *** this article,we summarize peer-reviewed articles that have been published in business journals,with an eye toward formulating a roadmap for applying health analytics across multiple business ***,we demonstrate how health-related data can be harnessed to inform business ***,we endeavor to consolidate the available datasets and analytical techniques commonly employed to explore health analytics in business ***,we discuss the practical challenges confronting scholars in health analytics,as well as future research *** from our study yields insights that can be leveraged by business scholars interested in health analytics research.

关键词： health analytics business topics literature review managerial challenges big data

Image Analytics:A consolidation of visual feature extraction methods

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Journal of Management Analytics 2021年第4期8卷 569-597页

作者： Xiaohui Liu Fei Liu Yijing Li Huizhang Shen Eric T.K.Lim chee-wee tan Antai College of Economics and Management Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of China Department of Management and Marketing Hong Kong Polytechnic UniversityHongkongPeople’s Republic of China School of Information Systems and Technology Management University of New South WalesSydneyAustralia Department of Digitization Copenhagen Business SchoolCopenhagenDenmark

Revolutionary advances in machine and deep learning techniques within the field of computer field have dramatically expanded our opportunities to decipher the merits of digital imagery in the business *** extant literature on computer vision has yielded a myriad of approaches for extracting core attributes from images,the esotericism of the advocated techniques hinders scholars from delving into the role of visual rhetoric in driving business ***,this tutorial aims to consolidate resources for extracting visual features via conventional machine and/or deep learning *** describe resources and techniques based on three visual feature extraction methods,namely calculation-,recognition-,and ***,we offer practical examples to illustrate how image features can be accessed via open-sourced python packages such as OpenCV and TensorFlow.

关键词： Image analytics attribute extraction computer vision deep learning Python

Effects of age on live streaming viewer engagement:a dual coding perspective

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Journal of Management Analytics 2022年第4期9卷 435-447页

作者： Fei Liu Yijing Li Xiaofei Song Zhao Cai Eric T.K.Lim chee-wee tan Department of Information Technology and InnovationAntai College of Economics and ManagementShanghai Jiao Tong UniversityShanghaiPeople’s Republic of China Department of Management and Marketing The Hong Kong Polytechnic UniversityHong KongPeople’s Republic of China University of Nottingham Ningbo China NingboPeople’s Republic of China School of Information Systems and Technology Management UNSWSydneyAustralia Department of Digitalization Copenhagen Business SchoolCopenhagenDenmark

Though the emerging live streaming industry has attracted growing attention,the dominant yanzhi category where streamers mostly interact with the audience through amateur talent shows and casual chats has not been widely *** decode the mechanism behind the popularity of yanzhi streamers,this study draws on Dual Coding Theory(DCT)to posit that age estimated from a streamer’s face and voice can influence the level of viewer *** validate our hypothesized relationships,274 one-minute video records ahead of a viewer commenting or/and gifting were collected and analyzed via deep learning *** results attest to the negative effects of both facial and vocal age on viewer engagement,while their interaction has a positive impact on viewer engagement.

关键词： live streaming age viewer engagement dual coding theory deep learning

Traversing knowledge networks:an algorithmic historiography of extant literature on the Internet of Things(IoT)

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Journal of Management Analytics 2017年第1期4卷 3-34页

作者： Fei Liu chee-wee tan Eric T.K.Lim Ben Choi Department of Computer Science Hong Kong Baptist UniversityHong KongChina Department of IT Management Copenhagen Business SchoolCopenhagenDenmark The School of Information Systems Technology&ManagementUNSWSydneyAustralia

Research on the Internet of Things(IoT)has been booming for the past 6 years due to technological advances and potential for ***,the rapid growth of IoT articles and the heterogeneous nature of IoT pose challenges to conducting a systematic review of IoT *** study seeks to address the abovementioned challenges by reviewing 1065 IoT articles retrieved from the International Statistical Institute Web of Science via a blend of quantitative citation analysis and qualitative content *** the former,we generated a historiography of IoT research,a citation network,in which we tried to identify main paths of codification and diffusion,as well as path-dependent *** the latter,we explicated the progression of knowledge through 30 central IoT articles in chronological order regarding infrastructures,enabling technologies,potential technologies,and research *** from this study contribute to both IoT research and management.

关键词： Internet of Things algorithmic historiography citation network codification diffusion

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面向SaaS模式的价格歧视要素研究

管理工程学报 2018年第4期32卷 209-218页

作者：吴士亮仲琴 Hans WORTMANN chee-wee tan 南京财经大学管理科学与工程学院江苏南京210046 格罗宁根大学商学院哥本哈根大学商学院

针对软件即服务(Software as a service,SaaS)这一新兴的业务模式,分析了其特征、成本结构及客户价值,提出一个适用于该模式的价格歧视框架。该框架把价格歧视要素组织成三个层次:导向层包括价值导向及成本导向两个要素,类别层包括基于... 详细信息

针对软件即服务(Software as a service,SaaS)这一新兴的业务模式,分析了其特征、成本结构及客户价值,提出一个适用于该模式的价格歧视框架。该框架把价格歧视要素组织成三个层次:导向层包括价值导向及成本导向两个要素,类别层包括基于付款的、基于产品的、基于使用且考虑用量的、基于使用且不考虑用量的、基于服务的等五个类别,各类别与导向层某要素相关联,并对应到基本要素层的价格歧视基本要素。最后,采集353家SaaS厂商的价格方案数据对框架中价格歧视要素的应用情况进行分析,结果表明:本文框架能满足较全面地刻画SaaS厂商价格要素的实际需要,SaaS厂商关注的应用类型及目标企业分布十分广泛,但总体上分布不均且同质化现象明显,SaaS厂商综合使用多类价格歧视要素且成本要素不容忽视,价格要素选择与应用类型、目标企业类型间关系不明显。

关键词：软件即服务价格歧视框架价格要素

CALL FOR PAPERS Theme:Embracing the Internet of Things to Drive Data-Driven Decisions

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Journal of Management Analytics 2016年第2期3卷 112-113页

作者： Bin Gu Wei Jiang chee-wee tan Arizona State University USA Shanghai Jiao Tong University China Copenhagen Business School Denmark

The Internet of Things(IoT),an emerging phenomenon characterized by an expanding network of interconnected sensors and actuators to facilitate data collection and exchange,has received enormous attention from both academics and *** is estimated that IoT could potentially generate annual economic benefits in the range of USD$3.9 trillion to$11.1 trillion by *** blurring the boundaries between people,process,data and devices,IoT has rendered networked connections more relevant and valuable than ever ***,massive data sets generated by distributed sensors and devices point to a growing urgency in developing data analytical tools and techniques to augment the decision-making process in order to realize business innovations in the likes of location-based services and customized production.

关键词： IoT network render

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Guest Editorial: Special issue on embracing the Internet of Things to drive data-driven decisions

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Journal of Management Analytics 2017年第1期4卷 1-2页

作者： chee-wee tan Wei Jiang Bin Gu Department of IT Management Copenhagen Business School 2000 Frederiksberg Denmark Antai College of Economics and Management Shanghai Jiao Tong University Shanghai 200030 China W.P.Carey School of Business Arizona State University Tempe AZ 85281USA

The Internet of Things(IoT)is a fast emerging phenomenon that is characterized by an expanding network of interconnected sensors and actuators to facilitate data collection and *** has attracted enormous attention from both academics and practitioners ***&Company(2015)estimated that IoT could potentially generate annual economic returns in the range of USD$3.9-11.1 trillion by *** blurring the boundaries among people,process,data and devices.

关键词： IoT network Things

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Call for Papers

Journal of Management Analytics 2018年第1期5卷 73-74页

作者： Bin Gu Ling Li chee-wee tan Eric Zheng Arizona State University USA Old Dominion University USA Copenhagen Business School Denmark University of Texas at Dallas USA

Journal of Management Analytics Special Issue:Blockchain Analytics Guest Editors Bin Gu Arizona State University,USA Ling Li Old Dominion University,USA chee-wee tan Copenhagen Business School,Denmark Eric Zheng University of Texas at Dallas,USA Blockchain is transforming industries by enabling innovative business *** revolutionary power has permeated areas such as remittance,payment,banking,financing,trading,manufacturing,supply chain management,legal service,education,healthcare,government,and so *** enables trustless transactions,smart contracts,decentralized economics,and disintermediated *** has fundamentally altered how business value is being discovered,created,transferred,distributed,and realized in *** poses new challenges for both business practitioners and academic *** particular,there is a gazing gap between the need for analytics expertise and the existing skills to comprehend the transformative power of *** special issue hence calls for innovative and advanced research on Blockchain analytics.

关键词： trading legal hence