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1

Andersen, Michael Moesgaard, and Torben Pedersen. Data-Driven Innovation. Routledge, 2021. http://dx.doi.org/10.4324/9781003041702.

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Sharma, Neha, Amlan Chakrabarti, Valentina Emilia Balas, and Alfred M. Bruckstein, eds. Data Management, Analytics and Innovation. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2934-1.

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Sharma, Neha, Amlan Chakrabarti, Valentina Emilia Balas, and Alfred M. Bruckstein, eds. Data Management, Analytics and Innovation. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-2937-2.

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4

Goswami, Saptarsi, Inderjit Singh Barara, Amol Goje, C. Mohan, and Alfred M. Bruckstein, eds. Data Management, Analytics and Innovation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-2600-6.

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5

Sharma, Neha, Amlan Chakrabarti, and Valentina Emilia Balas, eds. Data Management, Analytics and Innovation. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9364-8.

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6

Sharma, Neha, Amlan Chakrabarti, Valentina Emilia Balas, and Jan Martinovic, eds. Data Management, Analytics and Innovation. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5616-6.

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7

Sharma, Neha, Amlan Chakrabarti, Valentina Emilia Balas, and Jan Martinovic, eds. Data Management, Analytics and Innovation. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5619-7.

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8

Balas, Valentina Emilia, Neha Sharma, and Amlan Chakrabarti, eds. Data Management, Analytics and Innovation. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1274-8.

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9

Balas, Valentina Emilia, Neha Sharma, and Amlan Chakrabarti, eds. Data Management, Analytics and Innovation. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1402-5.

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10

Sharma, Neha, Amlan Chakrabarti, and Valentina Emilia Balas, eds. Data Management, Analytics and Innovation. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-32-9949-8.

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11

Gokhberg, L. M. Indicators of Innovation: Data Book. Higher School of Economics, 2004.

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12

Sharma, Neha, Amol C. Goje, Amlan Chakrabarti, and Alfred M. Bruckstein, eds. Data Management, Analytics and Innovation. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3242-5.

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13

Qin, Zheng, Yan Li, and Yinzhou Yang. Management Innovation and Big Data. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9231-5.

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14

Sharma, Neha, Amol Goje, Amlan Chakrabarti, and Alfred M. Bruckstein, eds. Data Management, Analytics and Innovation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1414-2.

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15

Sharma, Neha, Amol C. Goje, Amlan Chakrabarti, and Alfred M. Bruckstein, eds. Data Management, Analytics and Innovation. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3245-6.

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16

Corrente, Melissa, and Ivy Bourgeault. Innovation in Transcribing Data: Meet Otter.ai. SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529799033.

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17

Schymanietz, Martin. Capabilities for Data-Driven Service Innovation. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-31691-4.

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18

Ponce, Hiram, Jorge Brieva, Octavio Lozada-Flores, Lourdes Martínez-Villaseñor, and Ernesto Moya-Albor, eds. Data-Driven Innovation for Intelligent Technology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54277-0.

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19

Peng, Sheng-Lung, Sun-Yuan Hsieh, Suseendran Gopalakrishnan, and Balaganesh Duraisamy, eds. Intelligent Computing and Innovation on Data Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3153-5.

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20

Marx Gómez, Jorge, and Lawal O. Yesufu, eds. Sustainable Development Through Data Analytics and Innovation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12527-0.

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21

Peng, Sheng-Lung, Le Hoang Son, G. Suseendran, and D. Balaganesh, eds. Intelligent Computing and Innovation on Data Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3284-9.

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22

Janssen, Marijn, Matti Mäntymäki, Jan Hidders, et al., eds. Open and Big Data Management and Innovation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25013-7.

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23

Simsion, Graeme C. Data modeling essentials: Analysis, design, and innovation. Van Nostrand Reinhold, 1994.

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24

Terras, Melissa, Vikki Jones, Nicola Osborne, and Chris Speed. Data-Driven Innovation in the Creative Industries. Routledge, 2024. http://dx.doi.org/10.4324/9781003365891.

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25

Simsion, Graeme C. Data modeling essentials: Analysis, design, and innovation. Van Nostrand Reinhold, 1994.

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26

Daim, Tugrul U., Denise Chiavetta, Alan L. Porter, and Ozcan Saritas, eds. Anticipating Future Innovation Pathways Through Large Data Analysis. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39056-7.

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27

Commission, European, ed. Statistics on innovation in Europe: Data 1996-1997. 2nd ed. Office for Official Publications of the European Communities, 2001.

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28

Jaffe, Adam B. Environmental regulation and innovation: A panel data study. National Bureau of Economic Research, 1996.

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29

DATA International Research Conference (2004 Sheffield Hallam University). Creativity and innovation: DATA International Research Conference, 2004. The Design and Technology Association, 2004.

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30

Schewick, Barbara Van. Internet architecture and innovation. The MIT Press, 2010.

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31

Schewick, Barbara Van. Internet architecture and innovation. The MIT Press, 2010.

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32

Greenleaf, G. W. (Graham William), Pun Kevin H, and University of Hong Kong. Faculty of Law, eds. The innovation commons. Sweet & Maxwell Asia, 2003.

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33

National Research Council (U.S.). Computer Science and Telecommunications Board, ed. Information technology research, innovation, and E-Government. National Academy Press, 2002.

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34

José, Mendes António, Pereira Isabel, and Costa Rogério, eds. Computers and education: Towards educational change and innovation. Springer, 2008.

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35

Certomà, Chiara, Mark Dyer, Lorena Pocatilu, and Francesco Rizzi, eds. Citizen Empowerment and Innovation in the Data-Rich City. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47904-0.

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36

Sigala, Marianna, Roya Rahimi, and Mike Thelwall, eds. Big Data and Innovation in Tourism, Travel, and Hospitality. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6339-9.

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37

Parvin Hosseini, Seyed Mehrshad, and Aydin Azizi. Big Data Approach to Firm Level Innovation in Manufacturing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6300-3.

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38

Kipar, Stefan. Determinants of firm innovation: Evidence from German panel data. Ifo Institut, Leibniz-Institut für Wirtschaftsforschung an der Universitä̈t München e.V., 2012.

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39

Data-Driven Innovation. OECD, 2015. http://dx.doi.org/10.1787/9789264229358-en.

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40

Data-Driven Innovation. Taylor & Francis Group, 2021.

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41

PointDuJour, Lery. Innovation ESV: Innovating Business Operations with Data. Independently Published, 2018.

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42

Stubbs, Evan, ed. Big Data, Big Innovation. Wiley, 2014. http://dx.doi.org/10.1002/9781118914984.

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43

Big Data Innovation Challenge. World Bank, Washington, DC, 2016. http://dx.doi.org/10.1596/25102.

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44

Yang, Yinzhou. Management Innovation and Big Data. Springer, 2024.

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45

Yang, Yinzhou. Management Innovation and Big Data. Springer, 2023.

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46

Innovation and Data Use in Cities. OECD, 2021. http://dx.doi.org/10.1787/9f53286f-en.

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47

Schymanietz, Martin. Capabilities for Data-Driven Service Innovation. Springer Fachmedien Wiesbaden GmbH, 2020.

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48

Organisation for economic co-operation and development. Innovation and Data Use in Cities. Org. for Economic Cooperation & Development, 2021.

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49

Organisation for economic co-operation and development. Data-Driven Innovation: Big Data for Growth and Well-Being. Organization for Economic Cooperation & Development, 2015.

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50

Wang, Becky. Creativity and Data Marketing: A Practical Guide to Data Innovation. Kogan Page, Limited, 2017.

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