Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research
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[1] Stanley Wasserman,et al. Social Network Analysis: Methods and Applications , 1994 .
[2] Duncan J. Watts,et al. Six Degrees: The Science of a Connected Age , 2003 .
[3] Tong Zhang,et al. Text Mining: Predictive Methods for Analyzing Unstructured Information , 2004 .
[4] Hinrich Schütze,et al. Introduction to information retrieval , 2008 .
[5] Wendy L. Tate,et al. THE USE OF SOCIAL NETWORK ANALYSIS IN LOGISTICS RESEARCH , 2007 .
[6] D. Teece. Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance , 2007 .
[7] Timothy W. Finin,et al. Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.
[8] John Yen,et al. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis , 2007, KDD 2007.
[9] Lillian Lee,et al. Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..
[10] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[11] G. Kroemer,et al. Critical Involvement of the ATM-Dependent DNA Damage Response in the Apoptotic Demise of HIV-1-Elicited Syncytia , 2008, PloS one.
[12] Stefan Seuring,et al. From a literature review to a conceptual framework for sustainable supply chain management , 2008 .
[13] Ewan Klein,et al. Natural Language Processing with Python , 2009 .
[14] S. Borgatti,et al. On Social Network Analysis in a Supply Chain Context , 2009 .
[15] Mark Terry,et al. Twittering healthcare: social media and medicine. , 2009, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[16] Leysia Palen,et al. Twitter adoption and use in mass convergence and emergency events , 2009 .
[17] Liljana Ferbar,et al. Demand forecasting methods in a supply chain: Smoothing and denoising , 2009 .
[18] Bernard J. Jansen,et al. Twitter power: Tweets as electronic word of mouth , 2009 .
[19] Hsinchun Chen,et al. Social Media Analytics and Intelligence , 2010, IEEE Intell. Syst..
[20] Herbert Kotzab,et al. THE INTELLECTUAL FOUNDATION OF THE JOURNAL OF BUSINESS LOGISTICS AND ITS EVOLUTION BETWEEN 1978 AND 2007 , 2010 .
[21] Yutaka Matsuo,et al. Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.
[22] Peter Trkman,et al. The impact of business analytics on supply chain performance , 2010, Decis. Support Syst..
[23] Danah Boyd,et al. Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter , 2010, 2010 43rd Hawaii International Conference on System Sciences.
[24] Roger J. Calantone,et al. INTRODUCTION TO THE SPECIAL TOPIC FORUM: USING ARCHIVAL AND SECONDARY DATA SOURCES IN SUPPLY CHAIN MANAGEMENT RESEARCH , 2010 .
[25] Ed H. Chi,et al. Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network , 2010, 2010 IEEE Second International Conference on Social Computing.
[26] Christopher M. Danforth,et al. Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter , 2011, PloS one.
[27] Joseph Galaskiewicz,et al. STUDYING SUPPLY CHAINS FROM A SOCIAL NETWORK PERSPECTIVE , 2011 .
[28] D. O'Leary. THE USE OF SOCIAL MEDIA IN THE SUPPLY CHAIN: SURVEY AND EXTENSIONS , 2011 .
[29] O. Tang,et al. Identifying risk issues and research advancements in supply chain risk management , 2011 .
[30] M. T. Martínez-Fernández,et al. Supply chain management: A multidisciplinary content analysis of vertical relations between companies, 1997–2006 , 2011 .
[31] Mike Thelwall,et al. Sentiment in Twitter events , 2011, J. Assoc. Inf. Sci. Technol..
[32] J. Manyika. Big data: The next frontier for innovation, competition, and productivity , 2011 .
[33] Thomas Y. Choi,et al. Structural investigation of supply networks: A social network analysis approach , 2011 .
[34] Daniel M. German,et al. Towards understanding twitter use in software engineering: preliminary findings, ongoing challenges and future questions , 2011, Web2SE '11.
[35] K. Buckley,et al. Sentiment inTwitter Events , 2011 .
[36] Dennis Schoeneborn,et al. Twitter and its Usage for Dialogic Stakeholder Communication by MNCs and NGOs , 2011 .
[37] Michele Zappavigna,et al. Ambient affiliation: A linguistic perspective on Twitter , 2011, New Media Soc..
[38] Johan Bollen,et al. Twitter mood predicts the stock market , 2010, J. Comput. Sci..
[39] Daniel E. O'Leary. D.E. O'LEARY , 2011 .
[40] Thomas Gottron,et al. Bad news travel fast: a content-based analysis of interestingness on Twitter , 2011, WebSci '11.
[41] Dominic L. Lasorsa,et al. NORMALIZING TWITTER , 2012 .
[42] Daniel Gayo-Avello,et al. A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data , 2012, ArXiv.
[43] Mihalis Giannakis,et al. The intellectual structure of the supply chain management discipline: A citation and social network analysis , 2012, J. Enterp. Inf. Manag..
[44] David Lo,et al. What does software engineering community microblog about? , 2012, 2012 9th IEEE Working Conference on Mining Software Repositories (MSR).
[45] Bongsug Chae,et al. An evolutionary framework for service innovation: Insights of complexity theory for service science , 2012 .
[46] S. Seuring,et al. Conducting content‐analysis based literature reviews in supply chain management , 2012 .
[47] Brenda L Dietrich,et al. Optimizing the end-to-end value chain through demand shaping and advanced customer analytics , 2012 .
[48] Jennifer Jie Xu,et al. Business Intelligence in Blogs: Understanding Consumer Interactions and Communities , 2012, MIS Q..
[49] Hui Xiong,et al. Introduction to special section on intelligent mobile knowledge discovery and management systems , 2013, ACM Trans. Intell. Syst. Technol..
[50] Bethany A. Conway,et al. Twitter Use by Presidential Primary Candidates During the 2012 Campaign , 2013 .
[51] Stefan Stieglitz,et al. Towards more systematic Twitter analysis: metrics for tweeting activities , 2013 .
[52] Shelly Rodgers,et al. Analyzing Health Organizations' Use of Twitter for Promoting Health Literacy , 2013, Journal of health communication.
[53] R. Burt,et al. Social network analysis: foundations and frontiers on advantage. , 2013, Annual review of psychology.
[54] Argimiro Arratia,et al. Forecasting with twitter data , 2013, ACM Trans. Intell. Syst. Technol..
[55] Alton Yeow-Kuan Chua,et al. Customer knowledge management via social media: the case of Starbucks , 2013, J. Knowl. Manag..
[56] S. Fawcett,et al. Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management , 2013 .
[57] Ronen Feldman,et al. Techniques and applications for sentiment analysis , 2013, CACM.
[58] David L. Olson,et al. Business Analytics for Supply Chain: a Dynamic-Capabilities Framework , 2013, Int. J. Inf. Technol. Decis. Mak..
[59] Efthimios Tambouris,et al. Understanding the Predictive Power of Social Media This is a pre-print version of the following article : , 2013 .
[60] Richard Rogers. Debanalizing Twitter: the transformation of an object of study , 2013, WebSci.
[61] F. Vis. TWITTER AS A REPORTING TOOL FOR BREAKING NEWS , 2013 .
[62] Sameer Kumar,et al. Before and after disaster strikes: A relief supply chain decision support framework , 2013 .
[63] Shirley Williams,et al. What do people study when they study Twitter? Classifying Twitter related academic papers , 2013, J. Documentation.
[64] David Godes,et al. Introduction to the Special Issue - Social Media and Business Transformation: A Framework for Research , 2013, Inf. Syst. Res..
[65] Alex Pentland,et al. Proceedings of the 5th Annual ACM Web Science Conference , 2013 .
[66] Stefan Stieglitz,et al. Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior , 2013, J. Manag. Inf. Syst..
[67] Emily You,et al. Using social media to recruit global supply chain managers , 2014 .
[68] Benjamin T. Hazen,et al. Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications , 2014 .
[69] David L. Olson,et al. The impact of supply chain analytics on operational performance: a resource-based view , 2014 .
[70] Stefan Seuring,et al. Sustainable supply chain management practices and dynamic capabilities in the food industry: A critical analysis of the literature , 2014 .
[71] Riikka Kaipia,et al. A coordination framework for sales and operations planning (S&OP): Synthesis from the literature , 2014 .
[72] Evi Hartmann,et al. Human resource management issues in supply chain management research , 2014 .
[73] Mike Thelwall,et al. Disciplinary differences in Twitter scholarly communication , 2014, Scientometrics.
[74] Weiguo Fan,et al. The power of social media analytics , 2014, CACM.
[75] O. Tang,et al. Manufacturing facility location and sustainability: A literature review and research agenda , 2014 .
[76] Xuping Jiang,et al. Tweets and Sales , 2014 .
[77] S. Chopra,et al. Reducing the Risk of Supply Chain Disruptions , 2014 .
[78] T. Hennig-Thurau,et al. Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies , 2013 .
[79] Nathan Lawrentschuk,et al. The emerging use of Twitter by urological journals , 2015, BJU international.