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Big Data Investment, Skills, and Firm Value

Citations

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Cited by:

  1. Bram Klievink & Bart-Jan Romijn & Scott Cunningham & Hans Bruijn, 2017. "Big data in the public sector: Uncertainties and readiness," Information Systems Frontiers, Springer, vol. 19(2), pages 267-283, April.
  2. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
  3. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
  4. Malyy, Maksim & Tekic, Zeljko & Podladchikova, Tatiana, 2021. "The value of big data for analyzing growth dynamics of technology-based new ventures," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  5. Nathan Goldschlag & Ron Jarmin & Julia Lane & Nikolas Zolas, 2019. "Research Experience as Human Capital in New Business Outcomes," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 229-254, National Bureau of Economic Research, Inc.
  6. Bertschek, Irene & Kesler, Reinhold, 2022. "Let the user speak: Is feedback on Facebook a source of firms’ innovation?," Information Economics and Policy, Elsevier, vol. 60(C).
  7. Charles Hoffreumon & Chris Forman & Nicolas van Zeebroeck, 2024. "Make or buy your artificial intelligence? Complementarities in technology sourcing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 452-479, March.
  8. Siobhan O'Mahony & Rebecca Karp, 2022. "From proprietary to collective governance: How do platform participation strategies evolve?," Strategic Management Journal, Wiley Blackwell, vol. 43(3), pages 530-562, March.
  9. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Gupta, Shivam & Sivarajah, Uthayasankar & Bag, Surajit, 2023. "Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  10. Luigi M. De Luca & Dennis Herhausen & Gabriele Troilo & Andrea Rossi, 2021. "How and when do big data investments pay off? The role of marketing affordances and service innovation," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 790-810, July.
  11. Poojan Thakkar & Manan Shah, 2021. "An Assessment of Football Through the Lens of Data Science," Annals of Data Science, Springer, vol. 8(4), pages 823-836, December.
  12. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
  13. Chen, Zhongfei & Xiao, Yu & Jiang, Kangqi, 2023. "The impact of tax reform on firms' digitalization in China," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
  14. Ekene Okwechime & Peter Duncan & David Edgar, 2018. "Big data and smart cities: a public sector organizational learning perspective," Information Systems and e-Business Management, Springer, vol. 16(3), pages 601-625, August.
  15. Ashaari, Mohamed Azlan & Singh, Karpal Singh Dara & Abbasi, Ghazanfar Ali & Amran, Azlan & Liebana-Cabanillas, Francisco J., 2021. "Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  16. Terrence August & Wei Chen & Kevin Zhu, 2021. "Competition Among Proprietary and Open-Source Software Firms: The Role of Licensing in Strategic Contribution," Management Science, INFORMS, vol. 67(5), pages 3041-3066, May.
  17. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
  18. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
  19. Zhan, Yuanzhu & Tan, Kim Hua, 2020. "An analytic infrastructure for harvesting big data to enhance supply chain performance," European Journal of Operational Research, Elsevier, vol. 281(3), pages 559-574.
  20. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
  21. Tsao, Yu-Chung, 2017. "Managing default risk under trade credit: Who should implement Big-Data analytics in supply chains?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 276-293.
  22. Yingjie Zhang & Beibei Li & Ramayya Krishnan, 2020. "Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers," Information Systems Research, INFORMS, vol. 31(4), pages 1301-1321, December.
  23. Zeng, Huixiang & Ran, Hangxin & Zhou, Qiong & Jin, Youliang & Cheng, Xu, 2022. "The financial effect of firm digitalization: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  24. Jörg Claussen & Christian Essling & Christian Peukert, 2018. "Demand variation, strategic flexibility and market entry: Evidence from the U.S. airline industry," Strategic Management Journal, Wiley Blackwell, vol. 39(11), pages 2877-2898, November.
  25. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2021. "Information Technology Skills and Labor Market Outcomes for Workers," Information Systems Research, INFORMS, vol. 32(2), pages 437-461, June.
  26. Yanfei Lan & Zhibing Liu & Baozhuang Niu, 2017. "Pricing and Design of After-Sales Service Contract: The Value of Mining Asymmetric Sales Cost Information," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-25, February.
  27. Pan Liu & Shu-ping Yi, 2018. "A study on supply chain investment decision-making and coordination in the Big Data environment," Annals of Operations Research, Springer, vol. 270(1), pages 235-253, November.
  28. Xu, Shengxiang & Chen, Hsinghung & Dong, Shuli & Guo, Zizheng, 2023. "Can upgrading information infrastructure improve the innovation ability of companies? Empirical evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
  29. Lessmann, Stefan & Coussement, Kristof & De Bock, Koen W. & Haupt, Johannes, 2018. "Targeting customers for profit: An ensemble learning framework to support marketing decision making," IRTG 1792 Discussion Papers 2018-012, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  30. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Chunmian Ge & Ke-Wei Huang & Ivan P. L. Png, 2016. "Engineer/scientist careers: Patents, online profiles, and misclassification bias," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 232-253, January.
  31. Raguseo, Elisabetta, 2018. "Big data technologies: An empirical investigation on their adoption, benefits and risks for companies," International Journal of Information Management, Elsevier, vol. 38(1), pages 187-195.
  32. Caesarius, Leon Michael & Hohenthal, Jukka, 2018. "Searching for big data," Scandinavian Journal of Management, Elsevier, vol. 34(2), pages 129-140.
  33. Bram Klievink & Bart-Jan Romijn & Scott Cunningham & Hans Bruijn, 0. "Big data in the public sector: Uncertainties and readiness," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
  34. Jacques Bughin & Nicolas van Zeebroeck, 2024. "Strategic Renewal and Corporate Return of Digital Transformation," Working Papers TIMES² 2024-071, ULB -- Universite Libre de Bruxelles.
  35. Christian Peukert & Imke Reimers, 2022. "Digitization, Prediction, and Market Efficiency: Evidence from Book Publishing Deals," Management Science, INFORMS, vol. 68(9), pages 6907-6924, September.
  36. Karolien Lenaerts & Miroslav Beblavý & Brian Fabo, 2016. "Prospects for utilisation of non-vacancy Internet data in labour market analysis—an overview," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
  37. Ravi Kashyap, 2019. "Imitation in the Imitation Game," Papers 1911.06893, arXiv.org.
  38. Pan Liu & Shu-ping Yi, 2018. "Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era," Annals of Operations Research, Springer, vol. 270(1), pages 255-271, November.
  39. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
  40. Anandasivam Gopal & Sabari Rajan Karmegam & Balaji R. Koka & William M. Rand, 2020. "Is the Grass Greener? On the Strategic Implications of Moving Along the Value Chain for IT Service Providers," Information Systems Research, INFORMS, vol. 31(1), pages 148-175, March.
  41. LaBrie, Ryan C. & Steinke, Gerhard H. & Li, Xiangmin & Cazier, Joseph A., 2018. "Big data analytics sentiment: US-China reaction to data collection by business and government," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 45-55.
  42. Henri Isaac, 2020. "Stratégie & Intelligence artificielle," Post-Print hal-03068380, HAL.
  43. Muhammad Anwar & Sher Zaman Khan & Syed Zulfiqar Ali Shah, 2018. "Big Data Capabilities and Firm’s Performance: A Mediating Role of Competitive Advantage," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-28, December.
  44. Brad N. Greenwood & Kartik K. Ganju & Corey M. Angst, 2019. "How Does the Implementation of Enterprise Information Systems Affect a Professional’s Mobility? An Empirical Study," Information Systems Research, INFORMS, vol. 30(2), pages 563-594, June.
  45. Fabo, B., 2017. "Towards an understanding of job matching using web data," Other publications TiSEM b8b877f2-ae6a-495f-b6cc-9, Tilburg University, School of Economics and Management.
  46. Liu, Weihua & Wang, Siyu & Lin, Yong & Xie, Dong & Zhang, Jiahui, 2020. "Effect of intelligent logistics policy on shareholder value: Evidence from Chinese logistics companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
  47. Goldfarb, Avi & Taska, Bledi & Teodoridis, Florenta, 2023. "Could machine learning be a general purpose technology? A comparison of emerging technologies using data from online job postings," Research Policy, Elsevier, vol. 52(1).
  48. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
  49. Taha Havakhor & Rajiv Sabherwal & Zachary R. Steelman & Sanjiv Sabherwal, 2019. "Relationships Between Information Technology and Other Investments: A Contingent Interaction Model," Service Science, INFORMS, vol. 30(1), pages 291-305, March.
  50. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Grenoble Ecole de Management (Post-Print) halshs-01923271, HAL.
  51. Lynn Wu & Bowen Lou & Lorin Hitt, 2019. "Data Analytics Supports Decentralized Innovation," Management Science, INFORMS, vol. 65(10), pages 4863-4877, October.
  52. Raguseo, Elisabetta & Vitari, Claudio & Pigni, Federico, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," International Journal of Production Economics, Elsevier, vol. 229(C).
  53. Elisabetta Raguseo & Claudio Vitari, 2017. "Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects," Post-Print halshs-01923259, HAL.
  54. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
  55. Raazia Gul & Mamdouh Abdulaziz Saleh Al-Faryan, 2023. "From insights to impact: leveraging data analytics for data-driven decision-making and productivity in banking sector," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
  56. Elisabetta Raguseo & Claudio Vitari & Federico Pigni, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," Post-Print hal-03032504, HAL.
  57. Duan, Yanqing & Cao, Guangming & Edwards, John S., 2020. "Understanding the impact of business analytics on innovation," European Journal of Operational Research, Elsevier, vol. 281(3), pages 673-686.
  58. Prasanna Tambe & Xuan Ye & Peter Cappelli, 2020. "Paying to Program? Engineering Brand and High-Tech Wages," Management Science, INFORMS, vol. 66(7), pages 3010-3028, July.
  59. Peng Huang & Marco Ceccagnoli & Chris Forman & D.J. Wu, 2022. "IT Knowledge Spillovers, Absorptive Capacity, and Productivity: Evidence from Enterprise Software," Information Systems Research, INFORMS, vol. 33(3), pages 908-934, September.
  60. Surabhi Verma & Som Sekhar Bhattacharyya, 2017. "Drivers and Inhibitors of Big Data as a Service Adoption in India," Emerging Economy Studies, International Management Institute, vol. 3(1), pages 68-85, May.
  61. Urbinati, Andrea & Bogers, Marcel & Chiesa, Vittorio & Frattini, Federico, 2019. "Creating and capturing value from Big Data: A multiple-case study analysis of provider companies," Technovation, Elsevier, vol. 84, pages 21-36.
  62. Perdana, Arif & Lee, Hwee Hoon & Koh, SzeKee & Arisandi, Desi, 2022. "Data analytics in small and mid-size enterprises: Enablers and inhibitors for business value and firm performance," International Journal of Accounting Information Systems, Elsevier, vol. 44(C).
  63. Guo, Chenhao & Ke, Yun & Zhang, Jinkang, 2023. "Digital transformation along the supply chain," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
  64. Brandt, Tobias & Wagner, Sebastian & Neumann, Dirk, 2021. "Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning," European Journal of Operational Research, Elsevier, vol. 291(1), pages 379-393.
  65. Elisabetta Raguseo & Claudio Vitari, 2017. "Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects," Grenoble Ecole de Management (Post-Print) halshs-01923259, HAL.
  66. Feng Guo & Yijun Li & Likoebe M. Maruping & Adi Masli, 2023. "Complementarity Between Investment in Information Technology (IT) and IT Human Resources: Implications for Different Types of Firm Innovation," Information Systems Research, INFORMS, vol. 34(3), pages 1259-1275, September.
  67. Mónica Santana & Mirta Díaz-Fernández, 2023. "Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives," Review of Managerial Science, Springer, vol. 17(6), pages 1971-2004, August.
  68. Chae, Bongsug (Kevin), 2019. "A General framework for studying the evolution of the digital innovation ecosystem: The case of big data," International Journal of Information Management, Elsevier, vol. 45(C), pages 83-94.
  69. Elisabetta Raguseo & Claudio Vitari & Federico Pigni, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," Grenoble Ecole de Management (Post-Print) hal-03032504, HAL.
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