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Resource management in big data initiatives: Processes and dynamic capabilities

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Cited by:

  1. Amit Kumar & Bala Krishnamoorthy, 2020. "Business Analytics Adoption in Firms: A Qualitative Study Elaborating TOE Framework in India," International Journal of Global Business and Competitiveness, Springer, vol. 15(2), pages 80-93, December.
  2. Li, Xiaofan & Wang, Qiaochu & Kong, Dongmin & Tao, Yunqing, 2025. "Intelligent manufacturing and corporate human capital upgrade in China," Journal of Asian Economics, Elsevier, vol. 97(C).
  3. Erkan Bayraktar & Ekrem Tatoglu & Arafat Salih Aydiner & Dursun Delen, 2024. "Business Analytics Adoption and Technological Intensity: An Efficiency Analysis," Information Systems Frontiers, Springer, vol. 26(4), pages 1509-1526, August.
  4. Lin, Canchu & Kunnathur, Anand, 2019. "Strategic orientations, developmental culture, and big data capability," Journal of Business Research, Elsevier, vol. 105(C), pages 49-60.
  5. Alberto Bertello & Alberto Ferraris & Stefano Bresciani & Paola Bernardi, 2021. "Big data analytics (BDA) and degree of internationalization: the interplay between governance of BDA infrastructure and BDA capabilities," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1035-1055, December.
  6. Ye, Fei & Liu, Ke & Li, Lixu & Lai, Kee-Hung & Zhan, Yuanzhu & Kumar, Ajay, 2022. "Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective," International Journal of Production Economics, Elsevier, vol. 245(C).
  7. Fernando ALMEIDA & Samantha LOW-CHOY, 2021. "Exploring The Relationship Between Big Data And Firm Performance," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 13(3), pages 43-57, September.
  8. Elias G. Carayannis & David F. J. Campbell & Evangelos Grigoroudis, 2022. "Helix Trilogy: the Triple, Quadruple, and Quintuple Innovation Helices from a Theory, Policy, and Practice Set of Perspectives," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2272-2301, September.
  9. Rodríguez-Espíndola, Oscar & Cuevas-Romo, Ana & Chowdhury, Soumyadeb & Díaz-Acevedo, Natalie & Albores, Pavel & Despoudi, Stella & Malesios, Chrisovalantis & Dey, Prasanta, 2022. "The role of circular economy principles and sustainable-oriented innovation to enhance social, economic and environmental performance: Evidence from Mexican SMEs," International Journal of Production Economics, Elsevier, vol. 248(C).
  10. Zhou, Zhongsheng & Li, Zhuo & Du, Shanzhong & Cao, June, 2024. "Robot adoption and enterprise R&D manipulation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  11. Kim, Jaemin & Dibrell, Clay & Kraft, Ellen & Marshall, David, 2021. "Data analytics and performance: The moderating role of intuition-based HR management in major league baseball," Journal of Business Research, Elsevier, vol. 122(C), pages 204-216.
  12. Chen, Yantai & Luo, Haibei & Chen, Jin & Guo, Yanlin, 2022. "Building data-driven dynamic capabilities to arrest knowledge hiding: A knowledge management perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 1138-1154.
  13. Paolo Bogarelli & Nicola Castellano, 2023. "L?implementazione di tecnologie 4.0 nelle piccole imprese: analisi di un caso di successo," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(2), pages 137-164.
  14. Wang, Hua & Liao, Lingtao & Wu, Ji (George), 2023. "Robot adoption and firm's capacity utilization: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  15. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
  16. Wei-wei Zhang & Jyoti Bhola & Rajeev Kumar & Nitin Saluja, 2022. "Study and analysis of big data for characterization of user association in large scale," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 375-384, March.
  17. 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.
  18. Nguyen Anh Khoa Dam & Thang Le Dinh & William Menvielle, 2019. "A systematic literature review of big data adoption in internationalization," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 182-195, September.
  19. Paulo Renato de Sousa & Marcelo Werneck Barbosa & Leise Kelli de Oliveira & Paulo Tarso Vilela de Resende & Ricardo Ruiz Rodrigues & Myrian Teixeira Moura & Daniel Matoso, 2021. "Challenges, Opportunities, and Lessons Learned: Sustainability in Brazilian Omnichannel Retail," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
  20. Yunis, Manal & Tarhini, Abbas & Kassar, Abdulnasser, 2018. "The role of ICT and innovation in enhancing organizational performance: The catalysing effect of corporate entrepreneurship," Journal of Business Research, Elsevier, vol. 88(C), pages 344-356.
  21. Olga Menukhin & Catherine Mandungu & Azar Shahgholian & Nikolay Mehandjiev, 2025. "Guiding the integration of analytics in business operations through a maturity framework," Annals of Operations Research, Springer, vol. 348(3), pages 2017-2047, May.
  22. Carlos Ferreira & Alessandro Merendino & Maureen Meadows, 2023. "Disruption and Legitimacy: Big Data in Society," Information Systems Frontiers, Springer, vol. 25(3), pages 1081-1100, June.
  23. Ren, Yu & Wu, Kuo-Jui & Lim, Ming K. & Tseng, Ming-Lang, 2023. "Technology transfer adoption to achieve a circular economy model under resource-based view: A high-tech firm," International Journal of Production Economics, Elsevier, vol. 264(C).
  24. Mahdi, Omar Rabeea & Nassar, Islam A. & Almsafir, Mahmoud Khalid, 2019. "Knowledge management processes and sustainable competitive advantage: An empirical examination in private universities," Journal of Business Research, Elsevier, vol. 94(C), pages 320-334.
  25. Seunghwan Myeong & Michael J. Ahn & Younhee Kim & Shengli Chu & Woojong Suh, 2021. "Government Data Performance: The Roles of Technology, Government Capacity, and Globalization through the Effects of National Innovativeness," Sustainability, MDPI, vol. 13(22), pages 1-14, November.
  26. Meadows, Maureen & Merendino, Alessandro & Dibb, Sally & Garcia-Perez, Alexeis & Hinton, Matthew & Papagiannidis, Savvas & Pappas, Ilias & Wang, Huamao, 2022. "Tension in the data environment: How organisations can meet the challenge," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  27. Sun, Pengfei & Yuan, Chunhui & Li, Xiaolong & Di, Jia, 2024. "Big data analytics, firm risk and corporate policies: Evidence from China," Research in International Business and Finance, Elsevier, vol. 70(PB).
  28. Rajesh Chidananda Reddy & Biplab Bhattacharjee & Debasisha Mishra & Anandadeep Mandal, 2022. "A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy," Information Systems and e-Business Management, Springer, vol. 20(1), pages 223-255, March.
  29. Liedong, Tahiru Azaaviele & Rajwani, Tazeeb & Lawton, Thomas C., 2020. "Information and nonmarket strategy: Conceptualizing the interrelationship between big data and corporate political activity," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  30. Sher Jahan Khan & Puneet Kaur & Fauzia Jabeen & Amandeep Dhir, 2021. "Green process innovation: Where we are and where we are going," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3273-3296, November.
  31. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "Towards a business analytics capability for the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  32. Zhu, Xiumei & Li, Yue, 2023. "The use of data-driven insight in ambidextrous digital transformation: How do resource orchestration, organizational strategic decision-making, and organizational agility matter?," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  33. Liu, Zixu & Zhou, Jianghua & Li, Jizhen & Ma, Xufei, 2024. "More is less: The dual role of government subsidy in firms’ new product development," Journal of Business Research, Elsevier, vol. 185(C).
  34. El-Kassar, Abdul-Nasser & Singh, Sanjay Kumar, 2019. "Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 483-498.
  35. Azan, Wilfrid & Ivanaj, Silvester & Rolland, Olivier, 2019. "Modular path customization and knowledge transfer: Causal model learnings," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 182-193.
  36. Rialti, Riccardo & Zollo, Lamberto & Ferraris, Alberto & Alon, Ilan, 2019. "Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
  37. Sharma, Rohit & Jain, Geetika & Paul, Justin, 2023. "Does the world need to change its vaccine distribution strategy for COVID-19?," Technovation, Elsevier, vol. 126(C).
  38. Wang, Jing & Yu, Huaying & Ren, Daowen & Zhang, Jocelyn, 2023. "Promoting mineral resources consumption efficiency: Evidence from technology of big data," Resources Policy, Elsevier, vol. 86(PB).
  39. Hongyi Mao & Jiang Lu, 2023. "Big Data Management Capabilities and Green Innovation: A Dynamic Capabilities View," Sustainability, MDPI, vol. 15(19), pages 1-27, October.
  40. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
  41. Gao, Yuqiang & Wang, Zishuai & Wang, Kaihua & Zhang, Ruiai & Lu, Yuchen, 2023. "Effect of big data on enterprise financialization: Evidence from China's SMEs," Technology in Society, Elsevier, vol. 75(C).
  42. 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.
  43. Tugba Karaboga & Cemal Zehir & Ekrem Tatoglu & H. Aykut Karaboga & Abderaouf Bouguerra, 2023. "Big data analytics management capability and firm performance: the mediating role of data-driven culture," Review of Managerial Science, Springer, vol. 17(8), pages 2655-2684, November.
  44. Yuqian Zhang & Yixuan Wang & Chenchen Su & Jiahong Guo & Chen Xu, 2025. "Assessing the impact of China's National Big Data Comprehensive Pilot Zone policy on agricultural carbon emissions," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 71(5), pages 242-253.
  45. Xiang, Guopeng & Peng, Mixiang & Tang, Fei & Liu, Yuan, 2024. "Unpacking the impact of entrepreneurial learning on business model innovation in internet startups: Mediating roles of digital capabilities," Technology in Society, Elsevier, vol. 77(C).
  46. Manuela Nocker & Vania Sena, 2019. "Big Data and Human Resources Management: The Rise of Talent Analytics," Social Sciences, MDPI, vol. 8(10), pages 1-19, September.
  47. Shahzad, Farrukh & Ahmad, Munir & Irfan, Muhammad & Wang, Zhenkun & Fareed, Zeeshan, 2024. "Analyzing the influence of smart and digital manufacturing on cost stickiness: A study of U.S. manufacturing firms," International Review of Economics & Finance, Elsevier, vol. 95(C).
  48. Brinch, Morten & Gunasekaran, Angappa & Fosso Wamba, Samuel, 2021. "Firm-level capabilities towards big data value creation," Journal of Business Research, Elsevier, vol. 131(C), pages 539-548.
  49. Teresa Martí‐Rosselló & Andrew J. Duncan & Euan Bowditch, 2024. "Seeing the data for the trees: Assessing the data maturity and readiness of a UK forestry company," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 149-161, February.
  50. Yoshikuni, Adilson Carlos & Dwivedi, Rajeev & Filho, Arnaldo Rabello de Aguiar Vallim & Wamba, Samuel Fosso, 2025. "Big data analytics-enabled dynamic capabilities for corporate performance mediated through innovation ambidexterity: Findings from machine learning with cross-country analysis," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
  51. Da Gao & Linfang Tan & Yue Chen, 2025. "Smarter is greener: can intelligent manufacturing improve enterprises’ ESG performance?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
  52. Hultman, Johan & Corvellec, Hervé & Jerneck, Anne & Arvidsson, Susanne & Ekroos, Johan & Gustafsson, Clara & Lundh Nilsson, Fay & Wahlberg, Niklas, 2021. "A resourcification manifesto: Understanding the social process of resources becoming resources," Research Policy, Elsevier, vol. 50(9).
  53. Nan Wang & Wenxuan Xie & Yalan Huang & Zhenzhong Ma, 2023. "Big Data capability and sustainability oriented innovation: The mediating role of intellectual capital," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5702-5720, December.
  54. Mujahid Mohiuddin Babu & Mahfuzur Rahman & Ashraful Alam & Bidit Lal Dey, 2024. "Exploring big data-driven innovation in the manufacturing sector: evidence from UK firms," Annals of Operations Research, Springer, vol. 333(2), pages 689-716, February.
  55. Jorge António Barbosa Ferreira & Arnaldo Coelho & Laodicéia Amorim Weersma, 2019. "The mediating effect of strategic orientation, innovation capabilities and managerial capabilities among exploration and exploitation, competitive advantage and firm’s performance," Contaduría y Administración, Accounting and Management, vol. 64(1), pages 49-50, Enero-Mar.
  56. Yang, Jie & Yu, Juan & Bao, Mengqi, 2025. "Intelligent manufacturing and trade credit," International Review of Financial Analysis, Elsevier, vol. 97(C).
  57. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
  58. Ciampi, Francesco & Demi, Stefano & Magrini, Alessandro & Marzi, Giacomo & Papa, Armando, 2021. "Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation," Journal of Business Research, Elsevier, vol. 123(C), pages 1-13.
  59. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
  60. Merendino, Alessandro & Dibb, Sally & Meadows, Maureen & Quinn, Lee & Wilson, David & Simkin, Lyndon & Canhoto, Ana, 2018. "Big data, big decisions: The impact of big data on board level decision-making," Journal of Business Research, Elsevier, vol. 93(C), pages 67-78.
  61. 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.
  62. Elias G. Carayannis & David F. J. Campbell, 2021. "Democracy of Climate and Climate for Democracy: the Evolution of Quadruple and Quintuple Helix Innovation Systems," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 2050-2082, December.
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  71. William Villegas-Ch & Jhoann Molina-Enriquez & Carlos Chicaiza-Tamayo & Iván Ortiz-Garcés & Sergio Luján-Mora, 2019. "Application of a Big Data Framework for Data Monitoring on a Smart Campus," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
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