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Volumn 23, Issue 3, 2017, Pages 555-573

A bibliographic study on big data: concepts, trends and challenges

Author keywords

Big data; Citation and co citation analysis

Indexed keywords


EID: 85021367604     PISSN: 14637154     EISSN: None     Source Type: Journal    
DOI: 10.1108/BPMJ-10-2015-0149     Document Type: Article
Times cited : (56)

References (110)
  • 1
    • 84865030017 scopus 로고    scopus 로고
    • Big data and city living – what can it do for us?
    • Ann Keller, S., Koonin, S.E. and Shipp, S. (2012), “Big data and city living – what can it do for us?”, Significance, Vol. 9 No. 4, pp. 4-7, available at: http://dx.doi.org/10.1111/j.1740-9713.2012.00583
    • (2012) Significance , vol.9 , Issue.4 , pp. 4-7
    • Ann Keller, S.1    Koonin, S.E.2    Shipp, S.3
  • 2
    • 84866692693 scopus 로고    scopus 로고
    • Making advanced analytics work for you
    • Barton, D. and Court, D. (2012), “Making advanced analytics work for you”, Harvard Business Review, Vol. 90 No. 10, pp. 78-83, 128.
    • (2012) Harvard Business Review , vol.90 , Issue.10 , pp. 78-83, 128
    • Barton, D.1    Court, D.2
  • 5
    • 84891677917 scopus 로고    scopus 로고
    • Crowdsourcing: how to benefit from (too) many great ideas
    • Blohm, I., Leimeister, J.M. and Krcmar, H. (2013), “Crowdsourcing: how to benefit from (too) many great ideas”, MIS Quarterly Executive, Vol. 12 No. 4, pp. 199-211.
    • (2013) MIS Quarterly Executive , vol.12 , Issue.4 , pp. 199-211
    • Blohm, I.1    Leimeister, J.M.2    Krcmar, H.3
  • 6
    • 83455179027 scopus 로고    scopus 로고
    • Are you ready for the era of big data?
    • Brown, B., Chul, M. and Manyika, J. (2011), “Are you ready for the era of big data?”, McKinsey Quarterly, No. 4, pp. 24-27, 30-35.
    • (2011) McKinsey Quarterly
    • Brown, B.1    Chul, M.2    Manyika, J.3
  • 7
    • 84891819472 scopus 로고    scopus 로고
    • Mobilizing your C-suite for big-data analytics
    • Brown, B., Court, D. and Willmott, P. (2013), “Mobilizing your C-suite for big-data analytics”, McKinsey Quarterly, No. 4, pp. 76-87.
    • (2013) McKinsey Quarterly
    • Brown, B.1    Court, D.2    Willmott, P.3
  • 9
    • 77954068456 scopus 로고    scopus 로고
    • The structure and dynamics of co-citation clusters: a multiple-perspective co-citation analysis
    • Chen, C., Ibekwe-SanJuan, F. and Hou, J. (2010), “The structure and dynamics of co-citation clusters: a multiple-perspective co-citation analysis”, Journal of the American Society for Information Science, Vol. 61 No. 7, pp. 1386-1409.
    • (2010) Journal of the American Society for Information Science , vol.61 , Issue.7 , pp. 1386-1409
    • Chen, C.1    Ibekwe-SanJuan, F.2    Hou, J.3
  • 10
    • 84916597404 scopus 로고    scopus 로고
    • Business intelligence and analytics: from big data to big impact
    • Chen, H., Chiang, R.H.L. and Storey, V.C. (2012), “Business intelligence and analytics: from big data to big impact”, MIS Quarterly, Vol. 36 No. 4, pp. 1165-1188.
    • (2012) MIS Quarterly , vol.36 , Issue.4 , pp. 1165-1188
    • Chen, H.1    Chiang, R.H.L.2    Storey, V.C.3
  • 11
    • 84863427375 scopus 로고    scopus 로고
    • Supply chain risk management: a new methodology for a systematic literature review
    • Colicchia, C. and Strozzi, F. (2012), “Supply chain risk management: a new methodology for a systematic literature review”, Supply Chain Management: An International Journal, Vol. 17 No. 1, pp. 403-418.
    • (2012) Supply Chain Management: An International Journal , vol.17 , Issue.1 , pp. 403-418
    • Colicchia, C.1    Strozzi, F.2
  • 12
    • 80051803315 scopus 로고    scopus 로고
    • Data, data everywhere: a special report on managing information
    • February
    • Cukier, K. (2010), “Data, data everywhere: a special report on managing information”, The Economist, 25 February, available at: www.economist.com/node/1555744.
    • (2010) The Economist
    • Cukier, K.1
  • 13
    • 0001227919 scopus 로고
    • The intellectual development of management information systems
    • Culnan, M. (1986), “The intellectual development of management information systems”, Management Science, Vol. 32 No. 2, pp. 156-172.
    • (1986) Management Science , vol.32 , Issue.2 , pp. 156-172
    • Culnan, M.1
  • 14
    • 30344473967 scopus 로고    scopus 로고
    • Competing on analytics
    • Davenport, T.H. (2006), “Competing on analytics”, Harvard Business Review, Vol. 84 No. 1, pp. 84-93.
    • (2006) Harvard Business Review , vol.84 , Issue.1 , pp. 84-93
    • Davenport, T.H.1
  • 15
    • 84866661252 scopus 로고    scopus 로고
    • Data scientist: the sexiest job of the 21st century
    • Davenport, T.H. and Patil, D.J. (2012), “Data scientist: the sexiest job of the 21st century”, Harvard Business Review, Vol. 90 No. 10, pp. 70-76, 128.
    • (2012) Harvard Business Review , vol.90 , Issue.10 , pp. 70-76, 128
    • Davenport, T.H.1    Patil, D.J.2
  • 19
    • 84913532143 scopus 로고    scopus 로고
    • Collaborative forecasting in the food supply chain: a conceptual framework
    • Eksoz, C., Mansouri, A. and Bourlakis, M. (2014), “Collaborative forecasting in the food supply chain: a conceptual framework”, International Journal of Production Economics, Vol. 158, pp. 120-135.
    • (2014) International Journal of Production Economics , vol.158 , pp. 120-135
    • Eksoz, C.1    Mansouri, A.2    Bourlakis, M.3
  • 20
    • 84899700257 scopus 로고    scopus 로고
    • On the research frontiers of business management in the context of big data
    • Feng, Z.Y., Guo, X.H. and Zeng, D.J. (2013), “On the research frontiers of business management in the context of big data”, Journal of Management Sciences in China, Vol. 16 No. 1, pp. 1-9.
    • (2013) Journal of Management Sciences in China , vol.16 , Issue.1 , pp. 1-9
    • Feng, Z.Y.1    Guo, X.H.2    Zeng, D.J.3
  • 21
    • 84929519811 scopus 로고    scopus 로고
    • The Big Kahuna
    • Flory, M.M. (2012), “The Big Kahuna”, Marketing Research, Vol. 24 No. 2, p. 3.
    • (2012) Marketing Research , vol.24 , Issue.2 , pp. 3
    • Flory, M.M.1
  • 23
    • 84919389514 scopus 로고    scopus 로고
    • Beyond the hype: big data concepts, methods, and analytics
    • Gandomi, A. and Haider, M. (2015), “Beyond the hype: big data concepts, methods, and analytics”, International Journal of Information Management, Vol. 35 No. 2, pp. 137-144.
    • (2015) International Journal of Information Management , vol.35 , Issue.2 , pp. 137-144
    • Gandomi, A.1    Haider, M.2
  • 25
    • 0015493305 scopus 로고
    • Citation analysis as a tool in journal evaluation
    • Garfield, E. (1972), “Citation analysis as a tool in journal evaluation”, Science, Vol. 178, pp. 471-479.
    • (1972) Science , vol.178 , pp. 471-479
    • Garfield, E.1
  • 26
    • 84894137546 scopus 로고    scopus 로고
    • July 2013, :, (accessed
    • Gartner (2012), “Big data”, available at: www.gartner.com/it-glossary/bigdata/ (accessed 9 July 2013).
    • (2012) Big data
  • 27
    • 84872718466 scopus 로고    scopus 로고
    • Big data: the next big thing in innovation
    • Gobble, M.M. (2013), “Big data: the next big thing in innovation”, Research Technology Management, Vol. 56 No. 1, pp. 64-66.
    • (2013) Research Technology Management , vol.56 , Issue.1 , pp. 64-66
    • Gobble, M.M.1
  • 29
    • 84901705764 scopus 로고    scopus 로고
    • 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
    • Hazen, B.T., Boone, C.A., Ezell, J.D. and Jones-Farmer, L.A. (2014), “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”, International Journal of Production Economics, Vol. 154, pp. 72-80.
    • (2014) International Journal of Production Economics , vol.154 , pp. 72-80
    • Hazen, B.T.1    Boone, C.A.2    Ezell, J.D.3    Jones-Farmer, L.A.4
  • 30
    • 84925608116 scopus 로고    scopus 로고
    • Promises and challenges of big data computing in health sciences
    • Huang, T., Lan, L., Fang, X., An, P., Min, J. and Wang, F. (2015), “Promises and challenges of big data computing in health sciences”, Big Data Research, Vol. 2 No. 1, pp. 2-11.
    • (2015) Big Data Research , vol.2 , Issue.1 , pp. 2-11
    • Huang, T.1    Lan, L.2    Fang, X.3    An, P.4    Min, J.5    Wang, F.6
  • 31
    • 78651533629 scopus 로고    scopus 로고
    • The pathologies of big data
    • Jacobs, A. (2009), “The pathologies of big data”, Magazine Queue-Data, Vol. 7 No. 6, p. 10.
    • (2009) Magazine Queue-Data , vol.7 , Issue.6 , pp. 10
    • Jacobs, A.1
  • 32
    • 84929170243 scopus 로고    scopus 로고
    • Significance and challenges of big data research
    • Jin, X., Wah, B.W., Cheng, X. and Wang, Y. (2015), “Significance and challenges of big data research”, Big Data Research, Vol. 2 No. 2, pp. 59-64.
    • (2015) Big Data Research , vol.2 , Issue.2 , pp. 59-64
    • Jin, X.1    Wah, B.W.2    Cheng, X.3    Wang, Y.4
  • 33
    • 84878561276 scopus 로고    scopus 로고
    • September 2012, :, (accessed
    • Kalil, T. (2012), “Big data is a big deal”, available at: www.whitehouse.gov/blog/2012/03/29/big-data-big-deal (accessed September 2012).
    • (2012) Big data is a big deal
    • Kalil, T.1
  • 34
    • 0024640140 scopus 로고
    • An algorithm for drawing general undirected graphs
    • Kamada, T. and Kawai, S. (1989), “An algorithm for drawing general undirected graphs”, Information Processing Letters, Vol. 31 No. 1, pp. 7-15.
    • (1989) Information Processing Letters , vol.31 , Issue.1 , pp. 7-15
    • Kamada, T.1    Kawai, S.2
  • 35
    • 84899458050 scopus 로고    scopus 로고
    • Data quality management, data usage experience and acquisition intention of big data analytics
    • Kwon, O., Lee, N. and Shin, B. (2014), “Data quality management, data usage experience and acquisition intention of big data analytics”, International Journal of Information Management, Vol. 34 No. 3, pp. 387-394.
    • (2014) International Journal of Information Management , vol.34 , Issue.3 , pp. 387-394
    • Kwon, O.1    Lee, N.2    Shin, B.3
  • 37
    • 84897704756 scopus 로고    scopus 로고
    • A cubic framework for the chief data officer: succeeding in a world of big data
    • Lee, Y.W., Madnick, S.E., Wang, R.Y., Wang, F.L. and Zhang, H. (2014), “A cubic framework for the chief data officer: succeeding in a world of big data”, MIS Quarterly Executive, Vol. 13 No. 1, pp. 1-13.
    • (2014) MIS Quarterly Executive , vol.13 , Issue.1 , pp. 1-13
    • Lee, Y.W.1    Madnick, S.E.2    Wang, R.Y.3    Wang, F.L.4    Zhang, H.5
  • 38
    • 33749416584 scopus 로고    scopus 로고
    • Co-occurrence matrices and their applications in information science: extending ACA to the web environment
    • Leydesdorff, L. and Vaughan, L. (2006), “Co-occurrence matrices and their applications in information science: extending ACA to the web environment”, Journal of the American Society for Information Science & Technology, Vol. 57 No. 12, pp. 1616-1628.
    • (2006) Journal of the American Society for Information Science & Technology , vol.57 , Issue.12 , pp. 1616-1628
    • Leydesdorff, L.1    Vaughan, L.2
  • 39
    • 84866640011 scopus 로고    scopus 로고
    • Big data: the management revolution
    • McAfee, A. and Brynjolfsson, E. (2012a), “Big data: the management revolution”, Harvard Business Review, Vol. 90 No. 10, p. 4.
    • (2012) Harvard Business Review , vol.90 , Issue.10 , pp. 4
    • McAfee, A.1    Brynjolfsson, E.2
  • 40
    • 84866640011 scopus 로고    scopus 로고
    • Big data: the management revolution
    • McAfee, A. and Brynjolfsson, E. (2012b), “Big data: the management revolution”, Harvard Business Review, Vol. 90 No. 10, pp. 60-66, 68, 128.
    • (2012) Harvard Business Review , vol.90 , Issue.10
    • McAfee, A.1    Brynjolfsson, E.2
  • 41
    • 84963715104 scopus 로고    scopus 로고
    • Unlocking the big promise of big data
    • McGahan, A. (2013), “Unlocking the big promise of big data”, Rotman Management, Vol. 6 No. 1, pp. 53-57.
    • (2013) Rotman Management , vol.6 , Issue.1 , pp. 53-57
    • McGahan, A.1
  • 47
    • 84874754580 scopus 로고    scopus 로고
    • Big data management: concepts, techniques and challenges
    • Meng, X.F. and Ci, X. (2013), “Big data management: concepts, techniques and challenges”, Journal of Computer Research and Development, Vol. 50 No. 1, pp. 146-169.
    • (2013) Journal of Computer Research and Development , vol.50 , Issue.1 , pp. 146-169
    • Meng, X.F.1    Ci, X.2
  • 49
    • 84892771609 scopus 로고    scopus 로고
    • November 2013, :, (accessed
    • Nature (2008), “Big data”, available at: www.nature.com/news/specials/bigdata/index.html (accessed 5 November 2013).
    • (2008) Big data
  • 50
    • 84929505229 scopus 로고    scopus 로고
    • Oracle, Redwood Shores, CA
    • Oracle (2012), Big Data for the Enterprise, Oracle, Redwood Shores, CA.
    • (2012) Big Data for the Enterprise
  • 51
    • 84929517551 scopus 로고    scopus 로고
    • Smart analytics: how marketing drives short-term and long-term growth
    • July
    • Perrey, J., Spillecke, D. and Umblijs, A. (2013), “Smart analytics: how marketing drives short-term and long-term growth”, McKinsey Quarterly, July, pp. 00425-3.
    • (2013) McKinsey Quarterly , pp. 423-425
    • Perrey, J.1    Spillecke, D.2    Umblijs, A.3
  • 52
    • 77749271958 scopus 로고    scopus 로고
    • How to use Bibexcel for various types of bibliometric studies
    • Åström, F., Danell, R., Larsen, B. and Wiborg Schneider, J., and (Eds), International Society for Scientometrics and Informetics, Leuven
    • Persson, O., Danell, R. and Schneider, J.W. (2009), “How to use Bibexcel for various types of bibliometric studies”, in Åström, F., Danell, R., Larsen, B. and Wiborg Schneider, J. (Eds), Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at his 60th Birthday, Vol. 5, International Society for Scientometrics and Informetics, Leuven, pp. 9-24.
    • (2009) Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at his 60th Birthday , vol.5 , pp. 9-24
    • Persson, O.1    Danell, R.2    Schneider, J.W.3
  • 53
    • 33748686150 scopus 로고    scopus 로고
    • Operations management themes, concepts and relationships: a forward retrospective of the IJOPM
    • Pilkington, A. and Fitzgerald, R. (2006), “Operations management themes, concepts and relationships: a forward retrospective of the IJOPM”, International Journal of Operations and Production Management, Vol. 26 No. 11, pp. 1255-1275.
    • (2006) International Journal of Operations and Production Management , vol.26 , Issue.11 , pp. 1255-1275
    • Pilkington, A.1    Fitzgerald, R.2
  • 55
    • 62649172584 scopus 로고    scopus 로고
    • The evolution of the intellectual structure of operations management – 1980-2006: a citation/co-citation analysis
    • Pilkington, A. and Meredith, J. (2009), “The evolution of the intellectual structure of operations management – 1980-2006: a citation/co-citation analysis”, Journal of Operations Management, Vol. 27 No. 3, pp. 185-202.
    • (2009) Journal of Operations Management , vol.27 , Issue.3 , pp. 185-202
    • Pilkington, A.1    Meredith, J.2
  • 56
    • 84941248522 scopus 로고    scopus 로고
    • A novel intelligent approach for predicting atherosclerotic individuals from big data for healthcare
    • Priya, M. and Ranjith Kumar, P. (2015), “A novel intelligent approach for predicting atherosclerotic individuals from big data for healthcare”, International Journal of Production Research, Vol. 53 No. 24, pp. 7517-7532.
    • (2015) International Journal of Production Research , vol.53 , Issue.24 , pp. 7517-7532
    • Priya, M.1    Ranjith Kumar, P.2
  • 57
    • 84925687964 scopus 로고    scopus 로고
    • The current status and challenges in computational analysis of genomic big data
    • Qin, Y., Yalamanchili, H.K., Qin, J., Yan, B. and Wang, J. (2015), “The current status and challenges in computational analysis of genomic big data”, Big Data Research, Vol. 2 No. 1, pp. 12-18.
    • (2015) Big Data Research , vol.2 , Issue.1 , pp. 12-18
    • Qin, Y.1    Yalamanchili, H.K.2    Qin, J.3    Yan, B.4    Wang, J.5
  • 58
    • 4644273893 scopus 로고    scopus 로고
    • Changes in the intellectual structure of strategic management research: a bibliometric study of the strategic management Journal, 1980-2000
    • Ramos-Rodríguez, A.R. and Ruiz-Navarro, J. (2004), “Changes in the intellectual structure of strategic management research: a bibliometric study of the strategic management Journal, 1980-2000”, Strategic Management Journal, Vol. 25 No. 10, pp. 981-1004.
    • (2004) Strategic Management Journal , vol.25 , Issue.10 , pp. 981-1004
    • Ramos-Rodríguez, A.R.1    Ruiz-Navarro, J.2
  • 60
    • 84863610828 scopus 로고    scopus 로고
    • p., TDWI Best Practices Report
    • Russom, P. (2011), “Big data analytics”, TDWI Best Practices Report, Vol. 19, Fourth Quarter, p. 40.
    • (2011) Big data analytics , vol.19 , Issue.Fourth Quarter , pp. 40
    • Russom, P.1
  • 61
    • 84925672341 scopus 로고    scopus 로고
    • Data science, predictive analytics, and big data in supply chain management: current state and future potential
    • Schoenherr, T. and Speier-Pero, C. (2015), “Data science, predictive analytics, and big data in supply chain management: current state and future potential”, Journal of Business Logistics, Vol. 36 No. 1, pp. 120-132.
    • (2015) Journal of Business Logistics , vol.36 , Issue.1 , pp. 120-132
    • Schoenherr, T.1    Speier-Pero, C.2
  • 63
    • 84874684489 scopus 로고    scopus 로고
    • November 2013, :, (accessed
    • Science (2011), “Special online collection: dealing with data”, available at: www.sciencemag.org/site/special/data/ (accessed 5 November 2013).
    • (2011) Special online collection: dealing with data
  • 64
    • 84973751576 scopus 로고
    • The relative importance of journals used in management research: an alternative ranking
    • Sharplin, A. and Mabry, R. (1985), “The relative importance of journals used in management research: an alternative ranking”, Human Relations, Vol. 38 No. 2, pp. 139-149.
    • (1985) Human Relations , vol.38 , Issue.2 , pp. 139-149
    • Sharplin, A.1    Mabry, R.2
  • 65
    • 0015640298 scopus 로고
    • Co-citation in the scientific literature: a new measure of the relationship between two documents
    • Small, H. (1973), “Co-citation in the scientific literature: a new measure of the relationship between two documents”, Journal of the American Society for Information Science, Vol. 24 No. 4, pp. 265-269.
    • (1973) Journal of the American Society for Information Science , vol.24 , Issue.4 , pp. 265-269
    • Small, H.1
  • 66
    • 84929506822 scopus 로고    scopus 로고
    • Scientific research: how many paradigms?
    • Strawn, G.O. (2012), “Scientific research: how many paradigms?”, Educause Review, Vol. 47 No. 3, pp. 26-34.
    • (2012) Educause Review , vol.47 , Issue.3 , pp. 26-34
    • Strawn, G.O.1
  • 69
    • 0030284296 scopus 로고    scopus 로고
    • The relative importance of journals used in operations management research: a citation analysis
    • Vokurka, R.J. (1996), “The relative importance of journals used in operations management research: a citation analysis”, Journal of Operations Management, Vol. 14 No. 4, pp. 345-355.
    • (1996) Journal of Operations Management , vol.14 , Issue.4 , pp. 345-355
    • Vokurka, R.J.1
  • 70
    • 84900822860 scopus 로고    scopus 로고
    • Click here for a data scientist: big data, predictive analytics, and theory development in the era of a maker movement supply chain
    • Waller, M.A. and Fawcett, S.E. (2013a), “Click here for a data scientist: big data, predictive analytics, and theory development in the era of a maker movement supply chain”, Journal of Business Logistics, Vol. 34 No. 4, pp. 249-252.
    • (2013) Journal of Business Logistics , vol.34 , Issue.4 , pp. 249-252
    • Waller, M.A.1    Fawcett, S.E.2
  • 71
    • 84900796645 scopus 로고    scopus 로고
    • Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management
    • Waller, M.A. and Fawcett, S.E. (2013b), “Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management”, Journal of Business Logistics, Vol. 34 No. 2, pp. 77-84.
    • (2013) Journal of Business Logistics , vol.34 , Issue.2 , pp. 77-84
    • Waller, M.A.1    Fawcett, S.E.2
  • 72
    • 84929509763 scopus 로고    scopus 로고
    • How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study
    • Wamba, S.F., Akter, S., Edwards, A., Chopin, G. and Gnanzou, D. (2015), “How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study”, International Journal of Production Economics, Vol. 165, pp. 234-246.
    • (2015) International Journal of Production Economics , vol.165 , pp. 234-246
    • Wamba, S.F.1    Akter, S.2    Edwards, A.3    Chopin, G.4    Gnanzou, D.5
  • 73
    • 84871427783 scopus 로고    scopus 로고
    • Digital workplaces: vision and reality
    • White, M. (2012), “Digital workplaces: vision and reality”, Business Information Review, Vol. 29 No. 4, pp. 205-214.
    • (2012) Business Information Review , vol.29 , Issue.4 , pp. 205-214
    • White, M.1
  • 74
    • 85022140145 scopus 로고    scopus 로고
    • How big data and analytics reshape the wearable device market – the context of e-health
    • Wu, J., Li, H., Lin, Z. and Goh, K.-Y. (2015), “How big data and analytics reshape the wearable device market – the context of e-health”, International Journal of Production Research, pp. 1-15.
    • (2015) International Journal of Production Research , pp. 1-15
    • Wu, J.1    Li, H.2    Lin, Z.3    Goh, K.-Y.4
  • 75
    • 84941254409 scopus 로고    scopus 로고
    • Big data analytics for physical internet-based intelligent manufacturing shop floors
    • Zhong, R.Y., Xu, C., Chen, C. and Huang, G.Q. (2017), “Big data analytics for physical internet-based intelligent manufacturing shop floors”, International Journal of Production Research, Vol. 55 No. 9, pp. 2610-2621.
    • (2017) International Journal of Production Research , vol.55 , Issue.9 , pp. 2610-2621
    • Zhong, R.Y.1    Xu, C.2    Chen, C.3    Huang, G.Q.4
  • 78
    • 84925591673 scopus 로고    scopus 로고
    • ScaDiPaSi: an effective scalable and distributable MapReduce-Based method to find patient similarity on huge healthcare networks
    • Barkhordari, M. and Niamanesh, M. (2015), “ScaDiPaSi: an effective scalable and distributable MapReduce-Based method to find patient similarity on huge healthcare networks”, Big Data Research, Vol. 2 No. 1, pp. 19-27.
    • (2015) Big Data Research , vol.2 , Issue.1 , pp. 19-27
    • Barkhordari, M.1    Niamanesh, M.2
  • 79
    • 84929166422 scopus 로고    scopus 로고
    • Big data for open digital innovation – a research roadmap
    • Brunswicker, S., Bertino, E. and Matei, S. (2015), “Big data for open digital innovation – a research roadmap”, Big Data Research, Vol. 2 No. 2, pp. 53-58.
    • (2015) Big Data Research , vol.2 , Issue.2 , pp. 53-58
    • Brunswicker, S.1    Bertino, E.2    Matei, S.3
  • 80
    • 84929513110 scopus 로고    scopus 로고
    • Insights from hashtag #supply chain and Twitter analytics: considering Twitter and Twitter data for supply chain practice and research
    • Chae, B. (2015), “Insights from hashtag #supply chain and Twitter analytics: considering Twitter and Twitter data for supply chain practice and research”, International Journal of Production Economics, Vol. 165 No. 1, pp. 247-259.
    • (2015) International Journal of Production Economics , vol.165 , Issue.1 , pp. 247-259
    • Chae, B.1
  • 81
    • 85022142510 scopus 로고    scopus 로고
    • Predicting consumer product demands via big data: the roles of online promotional marketing and online reviews
    • Chong, A.Y.L., Ch’ng, E., Liu, M.J. and Li, B. (2015), “Predicting consumer product demands via big data: the roles of online promotional marketing and online reviews”, International Journal of Production Research, pp. 1-15.
    • (2015) International Journal of Production Research , pp. 1-15
    • Chong, A.Y.L.1    Ch’ng, E.2    Liu, M.J.3    Li, B.4
  • 82
    • 84947043463 scopus 로고    scopus 로고
    • Privacy aware access control for big data: a research roadmap
    • Colombo, P. and Ferrari, E. (2015), “Privacy aware access control for big data: a research roadmap”, Big Data Research, Vol. 2 No. 4, pp. 145-154.
    • (2015) Big Data Research , vol.2 , Issue.4 , pp. 145-154
    • Colombo, P.1    Ferrari, E.2
  • 83
    • 84906748958 scopus 로고    scopus 로고
    • When big data goes lean
    • Dhawan, R., Singh, K. and Tuteja, A. (2014), “When big data goes lean”, McKinsey Quarterly, Vol. 24 No. 2, pp. 97-105.
    • (2014) McKinsey Quarterly , vol.24 , Issue.2 , pp. 97-105
    • Dhawan, R.1    Singh, K.2    Tuteja, A.3
  • 84
    • 84929507264 scopus 로고    scopus 로고
    • Managing a big data project: the case of Ramco Cements Limited
    • Dutta, D. and Bose, I. (2015), “Managing a big data project: the case of Ramco Cements Limited”, International Journal of Production Economics, Vol. 165, pp. 293-306.
    • (2015) International Journal of Production Economics , vol.165 , pp. 293-306
    • Dutta, D.1    Bose, I.2
  • 85
    • 84949320986 scopus 로고    scopus 로고
    • Big data consumer analytics and the transformation of marketing
    • Erevelles, S., Fukawa, N. and Swayne, L. (2016), “Big data consumer analytics and the transformation of marketing”, Journal of Business Research, Vol. 69 No. 2, pp. 897-904.
    • (2016) Journal of Business Research , vol.69 , Issue.2 , pp. 897-904
    • Erevelles, S.1    Fukawa, N.2    Swayne, L.3
  • 86
    • 84925679859 scopus 로고    scopus 로고
    • Demystifying big data analytics for business intelligence through the lens of marketing mix
    • Fan, S., Lau, R.Y.K. and Zhao, J.L. (2015), “Demystifying big data analytics for business intelligence through the lens of marketing mix”, Big Data Research, Vol. 2 No. 1, pp. 28-32.
    • (2015) Big Data Research , vol.2 , Issue.1 , pp. 28-32
    • Fan, S.1    Lau, R.Y.K.2    Zhao, J.L.3
  • 87
    • 84907993905 scopus 로고    scopus 로고
    • Supply chain game changers – mega, nano, and virtual trends – and forces that impede supply chain design (i.e. building a winning team)
    • Fawcett, S.E. and Waller, M.A. (2014), “Supply chain game changers – mega, nano, and virtual trends – and forces that impede supply chain design (i.e. building a winning team)”, Journal of Business Logistics, Vol. 35 No. 3, pp. 157-164.
    • (2014) Journal of Business Logistics , vol.35 , Issue.3 , pp. 157-164
    • Fawcett, S.E.1    Waller, M.A.2
  • 88
    • 84898009578 scopus 로고    scopus 로고
    • Reading global clients’ signals
    • Gloor, P.A. and Giacomelli, G. (2014), “Reading global clients’ signals”, MIT Sloan Management Review, Vol. 55 No. 3, pp. 23-29.
    • (2014) MIT Sloan Management Review , vol.55 , Issue.3 , pp. 23-29
    • Gloor, P.A.1    Giacomelli, G.2
  • 89
    • 84918793619 scopus 로고    scopus 로고
    • Efficient indexing and query processing of model-view sensor data in the cloud
    • Guo, T., Papaioannou, T.G. and Aberer, K. (2014), “Efficient indexing and query processing of model-view sensor data in the cloud”, Big Data Research, Vol. 1, pp. 52-65.
    • (2014) Big Data Research , vol.1 , pp. 52-65
    • Guo, T.1    Papaioannou, T.G.2    Aberer, K.3
  • 90
    • 84893124408 scopus 로고    scopus 로고
    • Thriving in a big data world
    • Hayashi, A.M. (2014), “Thriving in a big data world”, MIT Sloan Management Review, Vol. 55 No. 2, pp. 35-39.
    • (2014) MIT Sloan Management Review , vol.55 , Issue.2 , pp. 35-39
    • Hayashi, A.M.1
  • 91
    • 85022151881 scopus 로고    scopus 로고
    • Big data and supply chain decisions: the impact of volume, variety and velocity properties on the bullwhip effect
    • Hofmann, E. (2015), “Big data and supply chain decisions: the impact of volume, variety and velocity properties on the bullwhip effect”, International Journal of Production Research, pp. 1-19.
    • (2015) International Journal of Production Research , pp. 1-19
    • Hofmann, E.1
  • 92
    • 84866696278 scopus 로고    scopus 로고
    • From the editor: big data for skeptics
    • Ignatius, A. (2012), “From the editor: big data for skeptics”, Harvard Business Review, Vol. 90 No. 10, p. 1-2.
    • (2012) Harvard Business Review , vol.90 , Issue.10 , pp. 1-2
    • Ignatius, A.1
  • 94
    • 84929224098 scopus 로고    scopus 로고
    • Big data and science: myths and reality
    • Jagadish, H.V. (2015), “Big data and science: myths and reality”, Big Data Research, Vol. 2 No. 2, pp. 49-52.
    • (2015) Big Data Research , vol.2 , Issue.2 , pp. 49-52
    • Jagadish, H.V.1
  • 95
    • 84869436742 scopus 로고    scopus 로고
    • Why detailed data is as important as big data
    • Kiron, D. (2012), “Why detailed data is as important as big data”, MIT Sloan Management Review, Vol. 53 No. 4, pp. 1-3.
    • (2012) MIT Sloan Management Review , vol.53 , Issue.4 , pp. 1-3
    • Kiron, D.1
  • 96
    • 84929159979 scopus 로고    scopus 로고
    • Geospatial big data: challenges and opportunities
    • Lee, J.-G. and Kang, M. (2015), “Geospatial big data: challenges and opportunities”, Big Data Research, Vol. 2 No. 2, pp. 74-81.
    • (2015) Big Data Research , vol.2 , Issue.2 , pp. 74-81
    • Lee, J.-G.1    Kang, M.2
  • 97
    • 83455178910 scopus 로고    scopus 로고
    • Astrazeneca’s ‘big data’ partnership
    • Lelinski, M. (2011), “Astrazeneca’s ‘big data’ partnership”, McKinsey Quarterly, No. 4, pp. 104-107.
    • (2011) McKinsey Quarterly
    • Lelinski, M.1
  • 98
    • 85012924087 scopus 로고    scopus 로고
    • Dynamic supply chain decisions based on networked sensor data: an application in the chilled food retail chain
    • Li, D. and Wang, X. (2015), “Dynamic supply chain decisions based on networked sensor data: an application in the chilled food retail chain”, International Journal of Production Research, pp. 1-15.
    • (2015) International Journal of Production Research , pp. 1-15
    • Li, D.1    Wang, X.2
  • 99
    • 84918813362 scopus 로고    scopus 로고
    • GDPS: an efficient approach for skyline queries over distributed uncertain data
    • Li, X., Wang, Y., Li, X., Wang, X. and Yu, J. (2014), “GDPS: an efficient approach for skyline queries over distributed uncertain data”, Big Data Research, Vol. 1, pp. 23-26.
    • (2014) Big Data Research , vol.1 , pp. 23-26
    • Li, X.1    Wang, Y.2    Li, X.3    Wang, X.4    Yu, J.5
  • 100
    • 84936941103 scopus 로고    scopus 로고
    • Ethical issues in the big data industry
    • Martin, K.E. (2015), “Ethical issues in the big data industry”, MIS Quarterly Executive, Vol. 14 No. 2, pp. 67-85.
    • (2015) MIS Quarterly Executive , vol.14 , Issue.2 , pp. 67-85
    • Martin, K.E.1
  • 101
    • 84891722382 scopus 로고    scopus 로고
    • Data monetization: lessons from a retailer’s journey
    • Najjar, M.S. and Kettinger, W.J. (2013), “Data monetization: lessons from a retailer’s journey”, MIS Quarterly Executive, Vol. 12 No. 4, pp. 213-225.
    • (2013) MIS Quarterly Executive , vol.12 , Issue.4 , pp. 213-225
    • Najjar, M.S.1    Kettinger, W.J.2
  • 102
    • 84891723294 scopus 로고    scopus 로고
    • Exploiting big data from mobile device sensor-based apps: challenges and benefits
    • O’Leary, D.E. (2013), “Exploiting big data from mobile device sensor-based apps: challenges and benefits”, MIS Quarterly Executive, Vol. 12 No. 4, pp. 179-187.
    • (2013) MIS Quarterly Executive , vol.12 , Issue.4 , pp. 179-187
    • O’Leary, D.E.1
  • 104
    • 84883298778 scopus 로고    scopus 로고
    • Big data in the age of the telegraph
    • Rosenthal, C. (2013), “Big data in the age of the telegraph”, McKinsey Quarterly, No. 1, pp. 13-18.
    • (2013) McKinsey Quarterly
    • Rosenthal, C.1
  • 105
    • 84929515623 scopus 로고    scopus 로고
    • Generalized optimal wavelet decomposing algorithm for big financial data
    • Sun, E.W., Chen, Y.-T. and Yu, M.-T. (2015), “Generalized optimal wavelet decomposing algorithm for big financial data”, International Journal of Production Economics, Vol. 165, pp. 194-214.
    • (2015) International Journal of Production Economics , vol.165 , pp. 194-214
    • Sun, E.W.1    Chen, Y.-T.2    Yu, M.-T.3
  • 106
    • 84873694395 scopus 로고    scopus 로고
    • A survey of models and algorithms for social influence analysis
    • Aggarwal, C.C.and (Ed.), Springer
    • Sun, J. and Tang, J. (2011), “A survey of models and algorithms for social influence analysis”, in Aggarwal, C.C. (Ed.), Social Network Data Analytics, Springer, pp. 177-214.
    • (2011) Social Network Data Analytics , pp. 177-214
    • Sun, J.1    Tang, J.2
  • 107
    • 84929502650 scopus 로고    scopus 로고
    • Leverage RAF to find domain experts on research social network services: a big data analytics methodology with MapReduce framework
    • Sun, J., Xu, W., Ma, J. and Sun, J. (2015), “Leverage RAF to find domain experts on research social network services: a big data analytics methodology with MapReduce framework”, International Journal of Production Economics, Vol. 165, pp. 185-193.
    • (2015) International Journal of Production Economics , vol.165 , pp. 185-193
    • Sun, J.1    Xu, W.2    Ma, J.3    Sun, J.4
  • 108
    • 84929517525 scopus 로고    scopus 로고
    • Harvesting big data to enhance supply chain innovation capabilities: an analytic infrastructure based on deduction graph
    • Tan, K.H., Zhan, Y., Ji, G., Ye, F. and Chang, C. (2015), “Harvesting big data to enhance supply chain innovation capabilities: an analytic infrastructure based on deduction graph”, International Journal of Production Economics, Vol. 165, pp. 223-233.
    • (2015) International Journal of Production Economics , vol.165 , pp. 223-233
    • Tan, K.H.1    Zhan, Y.2    Ji, G.3    Ye, F.4    Chang, C.5
  • 109
    • 84929519537 scopus 로고    scopus 로고
    • A discriminative and semantic feature selection method for text categorization
    • Zong, W., Wu, F., Chu, L.-K. and Sculli, D. (2015), “A discriminative and semantic feature selection method for text categorization”, International Journal of Production Economics, Vol. 165 No. 1, pp. 215-222.
    • (2015) International Journal of Production Economics , vol.165 , Issue.1 , pp. 215-222
    • Zong, W.1    Wu, F.2    Chu, L.-K.3    Sculli, D.4
  • 110
    • 84918806319 scopus 로고    scopus 로고
    • FlexAnalytics: a flexible data analytics framework for big data applications with I/O performance improvement
    • Zou, H., Yu, Y., Tang, W. and Chen, H.W.M. (2014), “FlexAnalytics: a flexible data analytics framework for big data applications with I/O performance improvement”, Big Data Research, Vol. 1, pp. 4-13.
    • (2014) Big Data Research , vol.1 , pp. 4-13
    • Zou, H.1    Yu, Y.2    Tang, W.3    Chen, H.W.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.