IDEAS home Printed from https://ideas.repec.org/r/aea/aecrev/v106y2016i5p133-39.html
   My bibliography  Save this item

The Rapid Adoption of Data-Driven Decision-Making

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Tao Chen & Shuwen Pi & Qing Sophie Wang, 2025. "Artificial Intelligence and Corporate Investment Efficiency: Evidence from Chinese Listed Companies," Working Papers in Economics 25/05, University of Canterbury, Department of Economics and Finance.
  2. Guo, Xiaochuan & Li, Mengmeng & Wang, Yanlin & Mardani, Abbas, 2023. "Does digital transformation improve the firm’s performance? From the perspective of digitalization paradox and managerial myopia," Journal of Business Research, Elsevier, vol. 163(C).
  3. Ágnes Szukits, 2022. "The illusion of data-driven decision making – The mediating effect of digital orientation and controllers’ added value in explaining organizational implications of advanced analytics," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 33(3), pages 403-446, September.
  4. Carl ?berg & Niloofar Kazemargi & Max Bankewitz, 2017. "Strategists on the Board in a Digital Era," Business and Management Research, Business and Management Research, Sciedu Press, vol. 6(2), pages 40-51, June.
  5. 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.
  6. Massimo G. Colombo & Karin Hoisl & Toke Reichstein & Salvatore Torrisi, 2023. "Open innovation, value creation and value capture : an introduction," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(4), pages 731-742, December.
  7. Labro, Eva & Lang, Mark & Omartian, James D., 2023. "Predictive analytics and centralization of authority," Journal of Accounting and Economics, Elsevier, vol. 75(1).
  8. Rodepeter, Elisa & Gschnaidtner, Christoph & Hottenrott, Hanna, 2023. "Big data and start-up performance," ZEW Discussion Papers 23-061, ZEW - Leibniz Centre for European Economic Research.
  9. John Forth & Alex Bryson, 2019. "Management practices and SME performance," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 527-558, September.
  10. Mohamed Ali Ben Halima & Nathalie Greenan & Joseph Lanfranchi, 2021. "Organisational changes and long-term sickness absence and injury leave: a difference in difference approach," TEPP Working Paper 2021-05, TEPP.
  11. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
  12. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
  13. Mercedes Teruel & Alex Coad & Clemens Domnick & Florian Flachenecker & Peter Harasztosi & Mario Lorenzo Janiri & Rozalia Pal, 2022. "The birth of new HGEs: internationalization through new digital technologies," The Journal of Technology Transfer, Springer, vol. 47(3), pages 804-845, June.
  14. Abhishek Nagaraj, 2022. "T he P rivate I mpact of P ublic D ata: L andsat S atellite M aps I ncreased G old D iscoveries and E ncouraged E ntry," Management Science, INFORMS, vol. 68(1), pages 564-582, January.
  15. 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.
  16. Mentis, Alan & Moonsammy, Stephan, 2022. "A critical assessment of Guyana's sustainability pathway: Perspectives from a developing extractive economy," Resources Policy, Elsevier, vol. 76(C).
  17. Amaresh K Tiwari, 2023. "Automation In An Open, Catching-Up Economy: Aggregate And Microeconometric Evidence," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 144, Faculty of Economics and Business Administration, University of Tartu (Estonia).
  18. Alexandre Kohlhas & Vladimir Asriyan, 2025. "The Macroeconomics of Data: Scale, Product Choice, and Pricing in the Information Age," Economics Series Working Papers 1073, University of Oxford, Department of Economics.
  19. Sobrie, Léon & Verschelde, Marijn & Hennebel, Veerle & Roets, Bart, 2023. "Capturing complexity over space and time via deep learning: An application to real-time delay prediction in railways," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1201-1217.
  20. Kinkel, Steffen & Baumgartner, Marco & Cherubini, Enrica, 2022. "Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies," Technovation, Elsevier, vol. 110(C).
  21. Cherchye, Laurens & Rock, Bram De & Saelens, Dieter & Verschelde, Marijn & Roets, Bart, 2024. "Productive efficiency analysis with unobserved inputs: An application to endogenous automation in railway traffic management," European Journal of Operational Research, Elsevier, vol. 313(2), pages 678-690.
  22. Nathalie Greenan & Silvia Napolitano, 2021. "Why Do Employees Participate in Innovation? Skills and Organisational Design Issues and the Ongoing Technological Transformation," Working Papers halshs-03270141, HAL.
  23. Changling Sun & Zixi Zhang & Marek Vochozka & Iveta Vozòáková, 2022. "Enterprise digital transformation and debt financing cost in China’s A-share listed companies," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 783-829, September.
  24. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
  25. Constant Berkhout & Abhi Bhattacharya & Carlos Bauer & Ross W. Johnson, 2024. "Revisiting the construct of data-driven decision making: antecedents, scope, and boundaries," SN Business & Economics, Springer, vol. 4(10), pages 1-23, October.
  26. Eckel, Carsten & Yeaple, Stephen R., 2024. "Inefficient labor market sorting," Journal of Economic Theory, Elsevier, vol. 221(C).
  27. Yong-Wu Zhou & Chuanying Chen & Yuanguang Zhong & Bin Cao, 2020. "The allocation optimization of promotion budget and traffic volume for an online flash-sales platform," Annals of Operations Research, Springer, vol. 291(1), pages 1183-1207, August.
  28. Changling Sun & Ziang Lin & Marek Vochozka & Zuzana Vincúrová, 2022. "Digital transformation and corporate cash holdings in China’s A-share listed companies," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1081-1116, December.
  29. Calza, Elisa & Lavopa, Alejandro & Ligia Zagato, 2022. "Advanced digital technologies and industrial resilience during the COVID-19 pandemic: A firm-level perspective," MERIT Working Papers 2022-008, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  30. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
  31. Thomas Niebel & Fabienne Rasel & Steffen Viete, 2019. "BIG data – BIG gains? Understanding the link between big data analytics and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(3), pages 296-316, April.
  32. Anastasiia Pustovalova & Priit Vahter, 2024. "Automation-Skill Complementarity: The Changing Returns To Soft Skills In Different Stages Of Technology Adoption," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 146, Faculty of Economics and Business Administration, University of Tartu (Estonia).
  33. Han Bu & Zhou Xun & Sha Cai, 2024. "Big data and inter-firm wage disparities: theory and evidence from China," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-36, August.
  34. Todd A. Hall & Sharique Hasan, 2022. "Organizational decision-making and the returns to experimentation," Journal of Organization Design, Springer;Organizational Design Community, vol. 11(4), pages 129-144, December.
  35. Ricardo Alonso & Odilon Câmara, 2024. "Organizing Data Analytics," Management Science, INFORMS, vol. 70(5), pages 3123-3143, May.
  36. Campbell, Colin & Runge, Julian & Bates, Kenneth & Haefele, Stacey & Jayaraman, Neeraj, 2022. "It’s time to close the experimentation gap in advertising: Confronting myths surrounding ad testing," Business Horizons, Elsevier, vol. 65(4), pages 437-446.
  37. Yang, Hefan & Liu, Xilu & Meng, Yao & Feng, Baoyi & Chen, Zhijun, 2024. "Digital transformation and the allocation of decision-making rights within business groups – Empirical evidence from China," Journal of Business Research, Elsevier, vol. 179(C).
  38. Xavier Vives, 2024. "La competencia en los mercados digitales," Working Papers 2024-01, FEDEA.
  39. Eva Labro & James D. Omartian, 2023. "Managing Employee Retention Concerns: Evidence from U.S. Census Data," Working Papers 23-07, Center for Economic Studies, U.S. Census Bureau.
  40. Yuanzhu Zhan & Kim Hua Tan & Yina Li & Ying Kei Tse, 2018. "Unlocking the power of big data in new product development," Annals of Operations Research, Springer, vol. 270(1), pages 577-595, November.
  41. Eva Labro & Mark Lang & Jim Omartian, 2019. "Predictive Analytics and Organizational Architecture: Plant-Level Evidence from Census Data," Working Papers 19-02, Center for Economic Studies, U.S. Census Bureau.
  42. Arthur Huang & Efrén De la Mora Velasco & Adam Haney & Sergio Alvarez, 2022. "The Future of Destination Marketing Organizations in the Insight Era," Tourism and Hospitality, MDPI, vol. 3(3), pages 1-6, September.
  43. Zhan, Yuanzhu & Han, Runyue & Tse, Mike & Ali, Mohd Helmi & Hu, Jiayao, 2021. "A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  44. 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.
  45. Neirotti, Paolo & Pesce, Danilo & Battaglia, Daniele, 2021. "Algorithms for operational decision-making: An absorptive capacity perspective on the process of converting data into relevant knowledge," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  46. Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2024. "Big data and firm-level productivity: A cross-country comparison," ZEW Discussion Papers 24-053, ZEW - Leibniz Centre for European Economic Research.
  47. Yang, Yuhan & Zhang, Chong & Liu, Baoliu & Huang, Yujie & Tai, Yafei, 2024. "Mystery of special government subsidies: How does digital transformation promote enterprise innovation and development?," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 1-16.
  48. Shaojun Yan & Yiyang Xi & Zhaoxiang Wu, 2024. "Enterprise Digital Transformation and Compliance in Cross-Regional Development: A Dynamic Capabilities Perspective," Sustainability, MDPI, vol. 16(2), pages 1-50, January.
  49. Michelle Novotny & Rachel Dodds & Philip R. Walsh, 2024. "Understanding the adoption of data-driven decision-making practices among Canadian DMOs," Information Technology & Tourism, Springer, vol. 26(2), pages 331-345, June.
  50. Pedota, Mattia, 2023. "Big data and dynamic capabilities in the digital revolution: The hidden role of source variety," Research Policy, Elsevier, vol. 52(7).
  51. Mareike Bergmann & Christian Brück & Thorsten Knauer & Anja Schwering, 2020. "Digitization of the budgeting process: determinants of the use of business analytics and its effect on satisfaction with the budgeting process," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 25-54, April.
  52. Yu Li & Panpan Feng & Tiange Qi & Jiale Yan & Yongjian Huang, 2024. "Enterprise digital transformation, managerial myopia and cost stickiness," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
  53. Flavio Calvino & Luca Fontanelli, 2025. "Decoding AI: Nine facts about how firms use artificial intelligence in France," LEM Papers Series 2025/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  54. Li, Xin & Liu, Zhaoda & Ye, Yongwei, 2024. "Public data and corporate employment: Evidence from the launch of Chinese public data platform," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 124-144.
  55. Shao, Yanmin & Xu, Kunliang & Shan, Yuan George, 2024. "Leveraging corporate digitalization for green technology innovation: The mediating role of resource endowments," Technovation, Elsevier, vol. 133(C).
  56. Anwar Adem & Richard Kneller & Cher Li, 2023. "Information Constraints and Technology Efficiency: Field Experiments Benchmarking Firms Website Performance," CESifo Working Paper Series 10457, CESifo.
  57. Tatiana de Macedo Nogueira Lima, 2022. "Documento de Trabalho 03/2022 - Aprendizado de máquina e antitruste," Documentos de Trabalho 2022030, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
  58. Linh Tu Ho & Christopher Gan & Shan Jin & Bryan Le, 2022. "Artificial Intelligence and Firm Performance: Does Machine Intelligence Shield Firms from Risks?," JRFM, MDPI, vol. 15(7), pages 1-20, July.
  59. Kristina McElheran & Mu-Jeung Yang & Zachary Kroff & Erik Brynjolfsson, 2025. "The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)," Working Papers 25-27, Center for Economic Studies, U.S. Census Bureau.
  60. Liao, Kezhi & Ma, Chengcheng & Zhang, Jingxue & Wang, Zhihao, 2024. "Does big data infrastructure development facilitate bank fintech innovation? Evidence from China," Finance Research Letters, Elsevier, vol. 65(C).
  61. Nathalie Greenan & Silvia Napolitano & Imad El Hamma, 2022. "Technologies numériques, capacité d'apprentissage de l'organisation et l'innovation : résultats empiriques à l'échelle de l'UE à partir d'un ensemble de données combinées," Working Papers halshs-03941324, HAL.
  62. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
  63. Arnaldo Camuffo & Alessandro Cordova & Alfonso Gambardella & Chiara Spina, 2020. "A Scientific Approach to Entrepreneurial Decision Making: Evidence from a Randomized Control Trial," Management Science, INFORMS, vol. 66(2), pages 564-586, February.
  64. Oduro, Stephen & De Nisco, Alessandro & Mainolfi, Giada, 2023. "Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus," Technovation, Elsevier, vol. 128(C).
  65. Nicolas Ameye & Jacques Bughin & Nicolas van Zeebroeck, 2024. "From experimentation to scaling: what shapes the funnel of AI adoption?," ULB Institutional Repository 2013/378623, ULB -- Universite Libre de Bruxelles.
  66. Ben Halima, Mohamed Ali & Greenan, Nathalie & Lanfranchi, Joseph, 2023. "Getting sick for profit? The impact of cumulative ICT and management changes on long term sickness absence," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 659-688.
  67. Hu, Mingsheng & Yang, Xu & Zhu, You & Uddin, Gazi Salah, 2024. "Spillover effect of corporate digitalization in the supply chain: Perspective of trade credit financing," Global Finance Journal, Elsevier, vol. 62(C).
  68. Geylani, Pinar Celikkol & Park, Timothy A. & Restrepo, Brandon J., 2024. "The Role of Managerial and Organizational Practices in Explaining Productivity Differences: A Study of U.S. Food Manufacturing Firms," 2024 Annual Meeting, July 28-30, New Orleans, LA 343704, Agricultural and Applied Economics Association.
  69. Nathalie Greenan & Silvia Napolitano, 2024. "Digital technologies, learning capacity of the organization and innovation: EU-wide empirical evidence from a combined dataset," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 33(3), pages 634-669.
  70. Erkip, Nesim Kohen, 2023. "Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems," European Journal of Operational Research, Elsevier, vol. 308(3), pages 949-959.
  71. Lynn Wu & Bowen Lou & Lorin Hitt, 2019. "Data Analytics Supports Decentralized Innovation," Management Science, INFORMS, vol. 65(10), pages 4863-4877, October.
  72. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
  73. Wang, Yafei & Shi, Ming & Liu, Junnan & Zhong, Min & Ran, Rong, 2025. "The impact of digital-real integration on energy productivity under a multi-governance framework: The mediating role of AI and embodied technological progress," Energy Economics, Elsevier, vol. 142(C).
  74. Liu, Tingyu & Huang, Peng & Wang, Qiaoru, 2025. "The impact of digital innovation on labor share: Evidence from Chinese firms," International Review of Economics & Finance, Elsevier, vol. 99(C).
  75. Hassani, Abdeslam & Mosconi, Elaine, 2022. "Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  76. Sadek, Biland, 2024. "Components and Strategic Routes of Corporate Transformations," MPRA Paper 120332, University Library of Munich, Germany, revised 26 Feb 2024.
  77. Chi-Yo Huang & Chia-Lee Yang & Yi-Hao Hsiao, 2021. "A Novel Framework for Mining Social Media Data Based on Text Mining, Topic Modeling, Random Forest, and DANP Methods," Mathematics, MDPI, vol. 9(17), pages 1-21, August.
  78. Cristofaro, Matteo & Giardino, Pier Luigi & Barboni, Luca, 2025. "Growth hacking: A scientific approach for data-driven decision making," Journal of Business Research, Elsevier, vol. 186(C).
  79. 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.
  80. Rembrand Koning & Sharique Hasan & Aaron Chatterji, 2022. "Experimentation and Start-up Performance: Evidence from A/B Testing," Management Science, INFORMS, vol. 68(9), pages 6434-6453, September.
  81. Jie Wang & Xiaohui Zhou & Yunning Ma & Yongrok Choi, 2025. "Public Data Elements and Enterprise Digital Transformation: A Quasi-Natural Experiment Based on Open Government Data Platforms for Sustainable Urban Planning," Sustainability, MDPI, vol. 17(10), pages 1-32, May.
  82. 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.
  83. Gambardella, Alfonso & Francetich, Alejandro, 2018. "Managerial Spillovers in Project Selection," CEPR Discussion Papers 12946, C.E.P.R. Discussion Papers.
  84. Shiri Melumad & Rhonda Hadi & Christian Hildebrand & Adrian F. Ward, 2020. "Technology-Augmented Choice: How Digital Innovations Are Transforming Consumer Decision Processes," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 90-101, October.
  85. Zhao, Minghui & Fong, Kwong Yee & Leong, Wai Nga & Li, Qiu & Chen, Rujie, 2025. "Nonexecutive employee compensation and firm labor productivity," Finance Research Letters, Elsevier, vol. 73(C).
  86. Abdullah Tirgil & Derya Fındık, 2023. "How Does Awareness Toward the Industry 4.0 Applications Affect Firms' Financial and Innovation Performance?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1900-1922, June.
  87. Quanjun Zhang & Jian Chen & Xiangyu Zhang, 2024. "Enterprise digitization and marine economic performance: An empirical study of listed enterprises in China’s maritime economy," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-20, October.
  88. Marc-André Filz & Jan Philipp Bosse & Christoph Herrmann, 2024. "Digitalization platform for data-driven quality management in multi-stage manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 35(6), pages 2699-2718, August.
  89. Teruel Carrizosa, Mercedes & Coad, Alexander & Domnick, Clemens & Flachenecker, Florian & Harasztosi, Péter & Janiri, Mario Lorenzo & Pál, Rozália, 2021. "The birth of new high growth enterprises: Internationalisation through new digital technologies," EIB Working Papers 2021/02, European Investment Bank (EIB).
  90. Huanan Liu & Yan Wang & Zhoufu Yan, 2024. "Artificial Intelligence and Food Processing Firms Productivity: Evidence from China," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
  91. Ruizhi Liu & Mengwei Hou & Ruifeng Jing & Alexandra Bauer & Mark Wu, 2024. "The Impact of National Big Data Pilot Zones on the Persistence of Green Innovation: A Moderating Perspective Based on Green Finance," Sustainability, MDPI, vol. 16(21), pages 1-28, November.
  92. Guojun Ji & Muhong Yu & Kim Hua Tan & Ajay Kumar & Shivam Gupta, 2024. "Decision optimization in cooperation innovation: the impact of big data analytics capability and cooperative modes," Annals of Operations Research, Springer, vol. 333(2), pages 871-894, February.
  93. Han, Ning & Liu, Peixian & Zhong, Fanglei & Zhao, Dezhao, 2025. "Does public data access improve fiscal transparency? --On a quasi-natural experiment from government data platform access," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
  94. 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).
  95. Saravanan Kesavan & Tarun Kushwaha, 2020. "Field Experiment on the Profit Implications of Merchants’ Discretionary Power to Override Data-Driven Decision-Making Tools," Management Science, INFORMS, vol. 66(11), pages 5182-5190, November.
  96. Moshe A. Barach & Aseem Kaul & Ming D. Leung & Sibo Lu, 2019. "Strategic Redundancy in the Use of Big Data: Evidence from a Two-Sided Labor Market," Strategy Science, INFORMS, vol. 4(4), pages 298-322, December.
  97. Zhang, Wenzhe & Liu, Guangqiang, 2023. "Digitalization and firm centralization: A quasi-natural experiment based on the “Broadband China” policy," Finance Research Letters, Elsevier, vol. 52(C).
  98. Ali, Abdilahi & Ali, Syed Imran, 2020. "Antecedents of the propensity to learn management practices and their impacts on firm outcomes in emerging markets: A Bayesian Model Averaging approach," International Business Review, Elsevier, vol. 29(4).
  99. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
  100. Catherine Robinson & Christian Siegel & Sisi Liao, 2021. "Technology Adoption and Skills A Pilot Study of Kent SMEs," Studies in Economics 2114, School of Economics, University of Kent.
  101. Shiri Melumad & Rhonda Hadi & Christian Hildebrand & Adrian F. Ward, 2021. "Technology-Augmented Choice: How Digital Innovations Are Transforming Consumer Decision Processes," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 90-101, October.
  102. Lendowski, Eva & Grotenhermen, Jan-Gerrit & Jürgenschellert, Britta & Schewe, Gerhard, 2023. "The role of organisational drivers of exploration and exploitation – Market dynamism as a contingency factor," European Management Journal, Elsevier, vol. 41(3), pages 445-457.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.