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Beyond the hype: Big data concepts, methods, and analytics

Citations

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Cited by:

  1. Mohamed Gaber & Edward J. Lusk, 2019. "A Vetting Protocol for the Analytical Procedures Platform for the AP-Phase of PCAOB Audits," Accounting and Finance Research, Sciedu Press, vol. 8(4), pages 1-43, November.
  2. Wuyue An & Lin Wang & Yu‐Rong Zeng, 2023. "Text‐based soybean futures price forecasting: A two‐stage deep learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 312-330, March.
  3. Mauro, Marianna & Noto, Guido & Prenestini, Anna & Sarto, Fabrizia, 2024. "Digital transformation in healthcare: Assessing the role of digital technologies for managerial support processes," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  4. Katarzyna Kopczewska, 2023. "Spatial bootstrapped microeconometrics: Forecasting for out‐of‐sample geo‐locations in big data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(3), pages 1391-1419, September.
  5. Batu Şengül & Fatih Yılmaz & Özkan Uğurlu, 2023. "Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas," Sustainability, MDPI, vol. 15(23), pages 1-23, November.
  6. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
  7. Yaqoob, Ibrar & Hashem, Ibrahim Abaker Targio & Gani, Abdullah & Mokhtar, Salimah & Ahmed, Ejaz & Anuar, Nor Badrul & Vasilakos, Athanasios V., 2016. "Big data: From beginning to future," International Journal of Information Management, Elsevier, vol. 36(6), pages 1231-1247.
  8. Arno de Caigny & Kristof Coussement & Koen W. de Bock & Stefan Lessmann, 2019. "Incorporating textual information in customer churn prediction models based on a convolutional neural network," Post-Print hal-02275958, HAL.
  9. Xu, Xun & Wang, Xuequn & Li, Yibai & Haghighi, Mohammad, 2017. "Business intelligence in online customer textual reviews: Understanding consumer perceptions and influential factors," International Journal of Information Management, Elsevier, vol. 37(6), pages 673-683.
  10. Joseph Kirby & Natalie Gerhart & John R. Wingender, 2022. "Firm financial outcomes: The impact of technology leaders," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3854-3871, December.
  11. Israel Ayoola, 2024. "Enhancing Business Decision-Making with Advanced Data Visualization: A Sectoral Comparative Analysis," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(10), pages 1-8, October.
  12. Zongyuan Liu & Harcharanjit Singh Mahinder Singh & Fatema Al Shibli, 2025. "What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
  13. Raphaëlle Barbier & Skander Ben Yahia & Sylvain Lenfle & Benoit Weil, 2024. "Data-push innovation beyond serendipity: The case of a digital platform making Earth Observation data fit into multiple use contexts," Post-Print hal-04611800, HAL.
  14. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
  15. Martí Bigorra, Anna & Isaksson, Ove & Karlberg, Magnus, 2019. "Aspect-based Kano categorization," International Journal of Information Management, Elsevier, vol. 46(C), pages 163-172.
  16. Calvard, Thomas Stephen & Jeske, Debora, 2018. "Developing human resource data risk management in the age of big data," International Journal of Information Management, Elsevier, vol. 43(C), pages 159-164.
  17. Cristescu Marian Pompiliu & Nerişanu Raluca Andreea & Mara Dumitru Alexandru, 2022. "Using Data Mining in the Sentiment Analysis Process on the Financial Market," Journal of Social and Economic Statistics, Sciendo, vol. 11(1-2), pages 36-58, December.
  18. Ahmad Ibrahim Aljumah & Mohammed T. Nuseir & Md. Mahmudul Alam, 2021. "Traditional marketing analytics, big data analytics and big data system quality and the success of new product development," Post-Print hal-03538161, HAL.
  19. Andrew Manikas & Michael Godfrey & Jason Woldt, 2022. "What Drives Higher Beer Ratings? Evidence From Big Data," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 15(1), pages 1-13.
  20. Crespo, Nuno Fernandes & Crespo, Cátia Fernandes & Silva, Graça Miranda, 2024. "Every cloud has a silver lining: The role of business digitalization and early internationalization strategies to overcome cloudy times," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  21. Muhammad Saleem Ullah Khan, 2024. "Performance Measurement in the Digital Era: Review Literature at the Intersection of Management Accounting, Big Data Analytics and Emerging Technologies’ Impact on Performance Evaluation," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(8), pages 94-101, August.
  22. Cano-Marin, Enrique & Mora-Cantallops, Marçal & Sánchez-Alonso, Salvador, 2023. "Twitter as a predictive system: A systematic literature review," Journal of Business Research, Elsevier, vol. 157(C).
  23. Alice Francesca Sproviero, 2020. "Integrated reporting and the epistemic authority of Big Data: An exploratory study from the banking industry," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2020(2), pages 99-124.
  24. de Haan, Evert & Padigar, Manjunath & El Kihal, Siham & Kübler, Raoul & Wieringa, Jaap E., 2024. "Unstructured data research in business: Toward a structured approach," Journal of Business Research, Elsevier, vol. 177(C).
  25. Dan Zhang & Loo G. Pee & Shan L. Pan & Jingyuan Wang, 2024. "Information practices in data analytics for supporting public health surveillance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(1), pages 79-93, January.
  26. 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.
  27. H. Kava & K. Spanaki & T. Papadopoulos & S. Despoudi & O. Rodriguez Espindola & M. Fakhimi, 2024. "Data analytics diffusion in the UK renewable energy sector: an innovation perspective," Post-Print hal-04478933, HAL.
  28. Tino T. Herden & Benjamin Nitsche & Benno Gerlach, 2020. "Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations," Logistics, MDPI, vol. 4(1), pages 1-27, February.
  29. Fu-Hsiang Chen & Ming-Fu Hsu & Kuang-Hua Hu, 2022. "Enterprise’s internal control for knowledge discovery in a big data environment by an integrated hybrid model," Information Technology and Management, Springer, vol. 23(3), pages 213-231, September.
  30. 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.
  31. Natalie Haynes & David Egan, 2024. "Transient price setting in the era of automated systems: the ‘hands-on’ hotel general manager lives on!," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(1), pages 28-38, February.
  32. Lim, Chiehyeon & Kim, Ki-Hun & Kim, Min-Jun & Heo, Jun-Yeon & Kim, Kwang-Jae & Maglio, Paul P., 2018. "From data to value: A nine-factor framework for data-based value creation in information-intensive services," International Journal of Information Management, Elsevier, vol. 39(C), pages 121-135.
  33. Kamlesh Kumar Pandey & Diwakar Shukla, 2022. "Maxmin Data Range Heuristic-Based Initial Centroid Method of Partitional Clustering for Big Data Mining," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 12(1), pages 1-22, January.
  34. Achraf Tounsi & Marouane Temimi, 2023. "A systematic review of natural language processing applications for hydrometeorological hazards assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 2819-2870, April.
  35. Amiri, Babak & Karimianghadim, Ramin, 2024. "A novel text clustering model based on topic modelling and social network analysis," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
  36. Barbier, Raphaëlle & Ben Yahia, Skander & Lenfle, Sylvain & Weil, Benoit, 2024. "Data-push innovation beyond serendipity: The case of a digital platform making Earth Observation data fit into multiple use contexts," Technovation, Elsevier, vol. 132(C).
  37. Justin Longo & Alan Rodney Dobell, 2018. "The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities," Politics and Governance, Cogitatio Press, vol. 6(4), pages 5-17.
  38. Harkaran Kava & Konstantina Spanaki & Thanos Papadopoulos & Stella Despoudi & Oscar Rodriguez-Espindola & Masoud Fakhimi, 2021. "Data Analytics Diffusion in the UK Renewable Energy Sector: An Innovation Perspective," Post-Print hal-03781046, HAL.
  39. Wang, Le & Yan, Jie & Lin, Jun & Cui, Wentian, 2017. "Let the users tell the truth: Self-disclosure intention and self-disclosure honesty in mobile social networking," International Journal of Information Management, Elsevier, vol. 37(1), pages 1428-1440.
  40. Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
  41. Ariyaluran Habeeb, Riyaz Ahamed & Nasaruddin, Fariza & Gani, Abdullah & Targio Hashem, Ibrahim Abaker & Ahmed, Ejaz & Imran, Muhammad, 2019. "Real-time big data processing for anomaly detection: A Survey," International Journal of Information Management, Elsevier, vol. 45(C), pages 289-307.
  42. Shobhana Chandra & Sanjeev Verma, 2023. "Big Data and Sustainable Consumption: A Review and Research Agenda," Vision, , vol. 27(1), pages 11-23, February.
  43. Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
  44. Jimenez-Marquez, Jose Luis & Gonzalez-Carrasco, Israel & Lopez-Cuadrado, Jose Luis & Ruiz-Mezcua, Belen, 2019. "Towards a big data framework for analyzing social media content," International Journal of Information Management, Elsevier, vol. 44(C), pages 1-12.
  45. Wu, Zhonghuan & Duan, Chunlin & Cui, Yuting & Qin, Rong, 2023. "Consumers' attitudes toward low-carbon consumption based on a computational model: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
  46. Jon Bannister & Anthony O’Sullivan, 2021. "Big Data in the city," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3061-3070, November.
  47. Jae H. Kim, 2022. "Moving to a world beyond p-value," Review of Managerial Science, Springer, vol. 16(8), pages 2467-2493, November.
  48. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
  49. Zelin Zhang & Kejia Yang & Jonathan Z. Zhang & Robert W. Palmatier, 2023. "Uncovering Synergy and Dysergy in Consumer Reviews: A Machine Learning Approach," Management Science, INFORMS, vol. 69(4), pages 2339-2360, April.
  50. Cano-Marin, Enrique & Mora-Cantallops, Marçal & Sanchez-Alonso, Salvador, 2023. "The power of big data analytics over fake news: A scientometric review of Twitter as a predictive system in healthcare," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
  51. Choi, Hyoung-Yong & Park, Junyoung, 2022. "Do data-driven CSR initiatives improve CSR performance? The importance of big data analytics capability," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  52. Maryia Zaitsava & Elona Marku & Maria Chiara Guardo & Azar Shahgholian, 2023. "A fine-grained perspective on big data knowledge creation: dimensions, insights, and mechanism from a pilot study," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 547-573, June.
  53. Ardita TODRI & Petraq PAPAJORGJI, 2024. "Artificial Intelligence Waves In Financial Services Industry: An Evolution Factorial Analysis," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 63-75, June.
  54. Miikka Blomster & Timo Koivumäki, 2022. "Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing," Information Systems and e-Business Management, Springer, vol. 20(1), pages 123-169, March.
  55. 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).
  56. Ahmad, Shimi Naurin & Laroche, Michel, 2017. "Analyzing electronic word of mouth: A social commerce construct," International Journal of Information Management, Elsevier, vol. 37(3), pages 202-213.
  57. Jifei Fan & Daopeng Wang & Ping Liu & Jiaming Xu, 2024. "Research on the Prediction of Sustainable Safety Production in Building Construction Based on Text Data," Sustainability, MDPI, vol. 16(12), pages 1-21, June.
  58. Battistoni, Elisa & Gitto, Simone & Murgia, Gianluca & Campisi, Domenico, 2023. "Adoption paths of digital transformation in manufacturing SME," International Journal of Production Economics, Elsevier, vol. 255(C).
  59. Terrance Jalbert & Jonathan D. Stewart, 2022. "A Comprehensive Retirement Financial Planning Tool," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 15(1), pages 47-76.
  60. Helmut Wasserbacher & Martin Spindler, 2022. "Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls," Digital Finance, Springer, vol. 4(1), pages 63-88, March.
  61. Dimitrios Belias & Sawsan Malik & Ioannis Rossidis & Christos Mantas, 2021. "The Use of Big Data in Tourism: Current Trends and Directions for Future Research," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 10, September.
  62. 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.
  63. Claudio Vitari & E. Raguseo, 2021. "Big data technologies: perceived benefits and costs for adopter and non-adopter enterprises [Technologies pour les données massives : Bénéfices et coûts perçus par les entreprises adoptantes et non," Post-Print hal-03323888, HAL.
  64. Rehman, Muhammad Habib ur & Chang, Victor & Batool, Aisha & Wah, Teh Ying, 2016. "Big data reduction framework for value creation in sustainable enterprises," International Journal of Information Management, Elsevier, vol. 36(6), pages 917-928.
  65. Luca Frigau & Maurizio Romano & Marco Ortu & Giulia Contu, 2023. "Semi-supervised sentiment clustering on natural language texts," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1239-1257, October.
  66. Robert Idlbek & Verica Budimir, 2023. "The Role Of Iot Data Aggregators For Optimising Object Tracking And Kpi Monitoring," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 23, pages 451-467.
  67. Surajit Bag & Shivam Gupta & Lincoln Wood, 2022. "Big data analytics in sustainable humanitarian supply chain: barriers and their interactions," Annals of Operations Research, Springer, vol. 319(1), pages 721-760, December.
  68. Tanzeela AQIF & Abdul WAHAB, 2022. "Reshaping The Future Of Retail Marketing Through Big Data: A Review From 2009 To 2022," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 14(3), pages 5-24, September.
  69. Mirjana Pejić Bach & Tine Bertoncel & Maja Meško & Dalia Suša Vugec & Lucija Ivančić, 2020. "Big Data Usage in European Countries: Cluster Analysis Approach," Data, MDPI, vol. 5(1), pages 1-16, March.
  70. Weihong Xie & Qian Zhang & Yuyao Lin & Zhong Wang & Zhongshun Li, 2024. "The Effect of Big Data Capability on Organizational Innovation: a Resource Orchestration Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3767-3791, March.
  71. Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
  72. Kuofeng Hung & Andy Wai Kan Yeung & Ray Tanaka & Michael M. Bornstein, 2020. "Current Applications, Opportunities, and Limitations of AI for 3D Imaging in Dental Research and Practice," IJERPH, MDPI, vol. 17(12), pages 1-18, June.
  73. Zachlod, Cécile & Samuel, Olga & Ochsner, Andrea & Werthmüller, Sarah, 2022. "Analytics of social media data – State of characteristics and application," Journal of Business Research, Elsevier, vol. 144(C), pages 1064-1076.
  74. Gupta, Shivam & Kar, Arpan Kumar & Baabdullah, Abdullah & Al-Khowaiter, Wassan A.A., 2018. "Big data with cognitive computing: A review for the future," International Journal of Information Management, Elsevier, vol. 42(C), pages 78-89.
  75. Rosangela de Fátima Pereira Marquesone & Tereza Cristina Melo de Brito Carvalho, 2022. "Examining the Nexus between the Vs of Big Data and the Sustainable Challenges in the Textile Industry," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
  76. Andrea Cappelli & Iacopo Cavallini, 2021. "The Potential of Big Data Analysis in the Shipbuilding Industry: A Way of Increasing Competitiveness," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(suppl. 1), pages 53-74.
  77. Karolis Matikonis & Matthew Gobey, 2024. "Small Business Property Tax Reductions and Firm Productivity," Small Business Economics, Springer, vol. 62(1), pages 307-324, January.
  78. Sebastian Zupok, 2024. "Contemporary Tools for Creating Customer Value," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 545-559.
  79. Yang, Bai & Liu, Ying & Liang, Yan & Tang, Min, 2019. "Exploiting user experience from online customer reviews for product design," International Journal of Information Management, Elsevier, vol. 46(C), pages 173-186.
  80. Colombari, Ruggero & Geuna, Aldo & Helper, Susan & Martins, Raphael & Paolucci, Emilio & Ricci, Riccardo & Seamans, Robert, 2023. "The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and U.S. automotive industries," International Journal of Production Economics, Elsevier, vol. 255(C).
  81. Francesco Cappa & Stefano Franco & Federica Rosso, 2022. "Citizens and cities: Leveraging citizen science and big data for sustainable urban development," Business Strategy and the Environment, Wiley Blackwell, vol. 31(2), pages 648-667, February.
  82. Judita Peterlin & Maja Meško & Vlado Dimovski & Vasja Roblek, 2021. "Automated content analysis: The review of the big data systemic discourse in tourism and hospitality," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(3), pages 377-385, May.
  83. Nalin, Alessandro & Vignali, Valeria & Lantieri, Claudio & Cappellari, Denis & Zamengo, Bruno & Simone, Andrea, 2024. "Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring," Journal of Transport Geography, Elsevier, vol. 118(C).
  84. Tursunbayeva, Aizhan & Di Lauro, Stefano & Pagliari, Claudia, 2018. "People analytics—A scoping review of conceptual boundaries and value propositions," International Journal of Information Management, Elsevier, vol. 43(C), pages 224-247.
  85. Falana, Gbenga Ayodele & Olusola Esther (PhD) & Dagunduro, Muyiwa Emmanuel, 2023. "Effect of Big Data on Accounting Information Quality in Selected Firms in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(3), pages 789-806, March.
  86. Anna Golebiowska & Weronika Jakubczak & Dariusz Prokopowicz & Ryszard Jakubczak, 2021. "Cybersecurity of Business Intelligence Analytics Based on the Processing of Large Sets of Information with the Use of Sentiment Analysis and Big Data," European Research Studies Journal, European Research Studies Journal, vol. 0(4 - Part ), pages 850-871.
  87. Sebastiano Cupertino & Gianluca Vitale & Angelo Riccaboni, 2018. "L?impatto dei Big Data sulle attivit? di pianificazione & controllo aziendali: In caso di studio di una PMI agricola Italiana," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 59-86.
  88. Man Yang & Tao Zhang, 2023. "Demand forecasting and information sharing of a green supply chain considering data company," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-28, July.
  89. Singha, Sumanta & Arha, Himanshu & Kar, Arpan Kumar, 2023. "Healthcare analytics: A techno-functional perspective," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  90. Boshu Ouyang & Caihua Shan & Shun Shen & Xinnan Dai & Qingwang Chen & Xiaomin Su & Yongbin Cao & Xifeng Qin & Ying He & Siyu Wang & Ruizhe Xu & Ruining Hu & Leming Shi & Tun Lu & Wuli Yang & Shaojun P, 2024. "AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
  91. Carvalho, João Vidal & Rocha, Álvaro & Vasconcelos, José & Abreu, António, 2019. "A health data analytics maturity model for hospitals information systems," International Journal of Information Management, Elsevier, vol. 46(C), pages 278-285.
  92. Ragini, J. Rexiline & Anand, P.M. Rubesh & Bhaskar, Vidhyacharan, 2018. "Big data analytics for disaster response and recovery through sentiment analysis," International Journal of Information Management, Elsevier, vol. 42(C), pages 13-24.
  93. Eugenia Babiloni & Ester Guijarro & Juan R. Trapero, 2023. "Stock control analytics: a data-driven approach to compute the fill rate considering undershoots," Operational Research, Springer, vol. 23(1), pages 1-25, March.
  94. Muzaffer Buyruk & Ertan Güner, 2022. "Personalization in airline revenue management: an overview and future outlook," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 129-139, April.
  95. Juan J. Lull & Roberto Cervelló-Royo & José Luis Galdón, 2024. "Crossroads between Big Data and entrepreneurship: current key trends," International Entrepreneurship and Management Journal, Springer, vol. 20(4), pages 2763-2790, December.
  96. Radzivon Marozau & Hanna Aginskaja & Maribel Guerrero, 2024. "ICT-related dynamic capabilities and SMEs’ performance: An analysis during the economic stagnation in Belarus," The Journal of Technology Transfer, Springer, vol. 49(5), pages 1696-1718, October.
  97. Justy, Théo & Pellegrin-Boucher, Estelle & Lescop, Denis & Granata, Julien & Gupta, Shivam, 2023. "On the edge of Big Data: Drivers and barriers to data analytics adoption in SMEs," Technovation, Elsevier, vol. 127(C).
  98. Božič, Katerina & Dimovski, Vlado, 2019. "Business intelligence and analytics for value creation: The role of absorptive capacity," International Journal of Information Management, Elsevier, vol. 46(C), pages 93-103.
  99. Douglas P. Hannah & Ron Tidhar & Kathleen M. Eisenhardt, 2021. "Analytic models in strategy, organizations, and management research: A guide for consumers," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 329-360, February.
  100. Richly, Marc A., 2022. "Big Data Analytics Capabilities: A Systematic Literature Review on Necessary Skills to Succeed in Big Data Analytics," Junior Management Science (JUMS), Junior Management Science e. V., vol. 7(5), pages 1224-1241.
  101. Ragmoun Wided, 2023. "IT Capabilities, Strategic Flexibility and Organizational Resilience in SMEs Post-COVID-19: A Mediating and Moderating Role of Big Data Analytics Capabilities," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 123-142, March.
  102. Wang, Yonggui & Tian, Qinghong & Li, Xia & Xiao, Xiaohong, 2022. "Different roles, different strokes: How to leverage two types of digital platform capabilities to fuel service innovation," Journal of Business Research, Elsevier, vol. 144(C), pages 1121-1128.
  103. Jae H. Kim & Philip I. Ji, 2024. "Testing for signal-to-noise ratio in linear regression: a test under large or massive sample," Review of Managerial Science, Springer, vol. 18(10), pages 3007-3024, October.
  104. Tiago Carneiro & Winnie Ng Picoto & Inês Pinto, 2023. "Big Data Analytics and Firm Performance in the Hotel Sector," Tourism and Hospitality, MDPI, vol. 4(2), pages 1-13, April.
  105. Wim Naudé, 2023. "Late industrialisation and global value chains under platform capitalism," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(1), pages 91-119, March.
  106. Weronika Jakubczak & Anna Golebiowska & Dariusz Prokopowicz, 2021. "The Legal and Security Aspects of ICT and Industry 4.0 Importance for Financial Industry 4.0 Development," European Research Studies Journal, European Research Studies Journal, vol. 0(4 - Part ), pages 169-181.
  107. 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.
  108. Bruno F. Abrantes & Klaus Grue Ostergaard, 2022. "Digital footprint wrangling: are analytics used for better or worse? A concurrent mixed methods research on the commercial (ab)use of dataveillance," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 187-206, September.
  109. Fernando López & Konstatin Kholodilin, 2023. "Putting MARS into space. Non‐linearities and spatial effects in hedonic models," Papers in Regional Science, Wiley Blackwell, vol. 102(4), pages 871-896, August.
  110. Ifaei, Pouya & Nazari-Heris, Morteza & Tayerani Charmchi, Amir Saman & Asadi, Somayeh & Yoo, ChangKyoo, 2023. "Sustainable energies and machine learning: An organized review of recent applications and challenges," Energy, Elsevier, vol. 266(C).
  111. Xing Wei, 2024. "Data-Driven Revolution: Advancing Scientific and Technological Innovation in Chinese A-Share Listed Companies," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 9975-10002, September.
  112. Taneja, Anu & Arora, Anuja, 2019. "Modeling user preferences using neural networks and tensor factorization model," International Journal of Information Management, Elsevier, vol. 45(C), pages 132-148.
  113. Sheng-Yen Chang & Virginia Bodolica & Huei-Hsia Hsu & Hsi-Peng Lu, 2023. "What people talk about online and what they intend to do: related perspectives from text mining and path analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(4), pages 931-956, December.
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