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Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research

Citations

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Cited by:

  1. Morgan Swink & Kejia Hu & Xiande Zhao, 2022. "Analytics applications, limitations, and opportunities in restaurant supply chains," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3710-3726, October.
  2. 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.
  3. Soroosh Nalchigar & Eric Yu, 2020. "Designing Business Analytics Solutions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(1), pages 61-75, February.
  4. Akter, Shahriar & Gunasekaran, Angappa & Wamba, Samuel Fosso & Babu, Mujahid Mohiuddin & Hani, Umme, 2020. "Reshaping competitive advantages with analytics capabilities in service systems," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
  5. Jean-Sébastien Lacam & David Salvetat, 2021. "Big data and Smart data: two interdependent and synergistic digital policies within a virtuous data exploitation loop," Post-Print hal-03434863, HAL.
  6. Aleš Popovič & Ray Hackney & Rana Tassabehji & Mauro Castelli, 0. "The impact of big data analytics on firms’ high value business performance," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
  7. Yi Yang & Kunpeng Zhang & Yangyang Fan, 2023. "sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics," Information Systems Research, INFORMS, vol. 34(1), pages 137-156, March.
  8. Shet, Sateesh.V. & Poddar, Tanuj & Wamba Samuel, Fosso & Dwivedi, Yogesh K., 2021. "Examining the determinants of successful adoption of data analytics in human resource management – A framework for implications," Journal of Business Research, Elsevier, vol. 131(C), pages 311-326.
  9. Ahmed Abbasi & Jeffrey Parsons & Gautam Pant & Olivia R. Liu Sheng & Suprateek Sarker, 2024. "Pathways for Design Research on Artificial Intelligence," Information Systems Research, INFORMS, vol. 35(2), pages 441-459, June.
  10. Anke Joubert & Matthias Murawski & Markus Bick, 2023. "Measuring the Big Data Readiness of Developing Countries – Index Development and its Application to Africa," Information Systems Frontiers, Springer, vol. 25(1), pages 327-350, February.
  11. 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).
  12. Jinyang Zheng & Zhengling Qi & Yifan Dou & Yong Tan, 2019. "How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model," Information Systems Research, INFORMS, vol. 30(4), pages 1343-1362, December.
  13. Jian Du & Shan Zhu & Wen Helena Li, 2023. "Innovation through internationalization: A systematic review and research agenda," Asia Pacific Journal of Management, Springer, vol. 40(3), pages 1217-1251, September.
  14. Canhoto, Ana Isabel, 2021. "Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective," Journal of Business Research, Elsevier, vol. 131(C), pages 441-452.
  15. Shu-Yi Liaw & Thi Mai Le, 2017. "Comparing Mediation Effect of Functional and Emotional Value in the Relationship between Pros of Applying Big Data," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 9(4), pages 66-75, August.
  16. Canhoto, Ana Isabel & Clear, Fintan, 2020. "Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential," Business Horizons, Elsevier, vol. 63(2), pages 183-193.
  17. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
  18. Anne-Laure Fayard & Emmanouil Gkeredakis & Natalia Levina, 2016. "Framing Innovation Opportunities While Staying Committed to an Organizational Epistemic Stance," Information Systems Research, INFORMS, vol. 27(2), pages 302-323, June.
  19. Côrte-Real, Nadine & Ruivo, Pedro & Oliveira, Tiago & Popovič, Aleš, 2019. "Unlocking the drivers of big data analytics value in firms," Journal of Business Research, Elsevier, vol. 97(C), pages 160-173.
  20. Ritu Agarwal, 2016. "Editorial—On the Intellectual Structure and Evolution of ISR," Information Systems Research, INFORMS, vol. 27(3), pages 471-477, September.
  21. Shaofeng Zhang & Wei Xiong & Wancheng Ni & Xin Li, 2015. "Value of big data to finance: observations on an internet credit Service Company in China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-18, December.
  22. 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.
  23. Ajaya K. Swain & Valeria R. Garza, 2023. "Key Factors in Achieving Service Level Agreements (SLA) for Information Technology (IT) Incident Resolution," Information Systems Frontiers, Springer, vol. 25(2), pages 819-834, April.
  24. Giorgi Shuradze & Yevgen Bogodistov & Heinz-Theo Wagner, 2018. "The Role Of Marketing-Enabled Data Analytics Capability And Organisational Agility For Innovation: Empirical Evidence From German Firms," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 1-32, May.
  25. Pratyush Bharati & Abhijit Chaudhury, 2019. "Assimilation of Big Data Innovation: Investigating the Roles of IT, Social Media, and Relational Capital," Information Systems Frontiers, Springer, vol. 21(6), pages 1357-1368, December.
  26. Plamen Yankov & Stefka Petrova & Svetlana Todorova, 2021. "Digital Advantages for the Construction Industry," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 10(3), pages 21-32, December.
  27. 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.
  28. Abhishek Behl & Pankaj Dutta & Stefan Lessmann & Yogesh K. Dwivedi & Samarjit Kar, 2019. "A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach," Information Systems and e-Business Management, Springer, vol. 17(2), pages 285-318, December.
  29. Caesarius, Leon Michael & Hohenthal, Jukka, 2018. "Searching for big data," Scandinavian Journal of Management, Elsevier, vol. 34(2), pages 129-140.
  30. Siti Hajar Mohd Mokhtar & Safawi Abdul Rahman, 2017. "The Roles of Big Data and Knowledge Management in Business Decision Making Process," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(12), pages 422-428, December.
  31. Zhang, Yucheng & Zhang, Meng & Li, Jing & Liu, Guangjian & Yang, Miles M. & Liu, Siqi, 2021. "A bibliometric review of a decade of research: Big data in business research – Setting a research agenda," Journal of Business Research, Elsevier, vol. 131(C), pages 374-390.
  32. 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.
  33. Angelopoulos, Spyros & Brown, Michael & McAuley, Derek & Merali, Yasmin & Mortier, Richard & Price, Dominic, 2021. "Stewardship of personal data on social networking sites," Other publications TiSEM b4580589-d1e2-492a-96d3-9, Tilburg University, School of Economics and Management.
  34. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
  35. Victor Benjamin & T. S. Raghu, 2023. "Augmenting Social Bot Detection with Crowd-Generated Labels," Information Systems Research, INFORMS, vol. 34(2), pages 487-507, June.
  36. Shahriar Akter & Samuel Fosso Wamba, 2019. "Big data and disaster management: a systematic review and agenda for future research," Annals of Operations Research, Springer, vol. 283(1), pages 939-959, December.
  37. Wullianallur Raghupathi & Viju Raghupathi, 2021. "Contemporary Business Analytics: An Overview," Data, MDPI, vol. 6(8), pages 1-11, August.
  38. Björn Hildebrandt & Andre Hanelt & Sebastian Firk, 2018. "Sharing Yet Caring," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(3), pages 227-241, June.
  39. Stefan Stieglitz & Konstantin Wilms & Milad Mirbabaie & Lennart Hofeditz & Bela Brenger & Ania López & Stephanie Rehwald, 2020. "When are researchers willing to share their data? – Impacts of values and uncertainty on open data in academia," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-20, July.
  40. Issam Laguir & Sachin Modgil & Indranil Bose & Shivam Gupta & Rebecca Stekelorum, 2023. "Performance effects of analytics capability, disruption orientation, and resilience in the supply chain under environmental uncertainty," Annals of Operations Research, Springer, vol. 324(1), pages 1269-1293, May.
  41. Robert F. Easley & Hong Guo & Jan Krämer, 2018. "Research Commentary—From Net Neutrality to Data Neutrality: A Techno-Economic Framework and Research Agenda," Information Systems Research, INFORMS, vol. 29(2), pages 253-272, June.
  42. Burger, Katharina & White, Leroy & Yearworth, Mike, 2019. "Developing a smart operational research with hybrid practice theories," European Journal of Operational Research, Elsevier, vol. 277(3), pages 1137-1150.
  43. Nicholas Berente & Stefan Seidel & Hani Safadi, 2019. "Research Commentary—Data-Driven Computationally Intensive Theory Development," Service Science, INFORMS, vol. 30(1), pages 50-64, March.
  44. Ritu Agarwal & Amrit Tiwana, 2015. "Editorial—Evolvable Systems: Through the Looking Glass of IS," Information Systems Research, INFORMS, vol. 26(3), pages 473-479, September.
  45. Nicolas Prat, 2019. "Augmented Analytics," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 375-380, June.
  46. Shivam Gupta & Nezih Altay & Zongwei Luo, 2019. "Big data in humanitarian supply chain management: a review and further research directions," Annals of Operations Research, Springer, vol. 283(1), pages 1153-1173, December.
  47. Kevin Bauer & Moritz von Zahn & Oliver Hinz, 2023. "Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing," Information Systems Research, INFORMS, vol. 34(4), pages 1582-1602, December.
  48. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  49. Ye, Lisha & Pan, Shan L & Wang, Jingyuan & Wu, Junjie & Dong, Xiaoying, 2021. "Big data analytics for sustainable cities: An information triangulation study of hazardous materials transportation," Journal of Business Research, Elsevier, vol. 128(C), pages 381-390.
  50. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
  51. Aleš Popovič & Ray Hackney & Rana Tassabehji & Mauro Castelli, 2018. "The impact of big data analytics on firms’ high value business performance," Information Systems Frontiers, Springer, vol. 20(2), pages 209-222, April.
  52. Mehmet Eren Ahsen & Mehmet Ulvi Saygi Ayvaci & Srinivasan Raghunathan, 2019. "When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis," Service Science, INFORMS, vol. 30(1), pages 97-116, March.
  53. Hajer Kefi & Sitesh Indra & Talel Abdessalem, 2016. "Social media marketing analytics : a multicultural approach applied to the beauty & cosmetic sector," Post-Print hal-01456580, HAL.
  54. Nimmagadda, Shastri L. & Reiners, Torsten & Wood, Lincoln C., 2018. "On big data-guided upstream business research and its knowledge management," Journal of Business Research, Elsevier, vol. 89(C), pages 143-158.
  55. Michael Weiler & Oliver Hinz, 2019. "Without each other, we have nothing: a state-of-the-art analysis on how to operationalize social capital," Review of Managerial Science, Springer, vol. 13(5), pages 1003-1035, November.
  56. Ahmed Abbasi & Jingjing Li & Donald Adjeroh & Marie Abate & Wanhong Zheng, 2019. "Don’t Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings," Information Systems Research, INFORMS, vol. 30(3), pages 1007-1028, September.
  57. Federico Iannacci & Colm Fearon & Kristine Pole, 2021. "From Acceptance to Adaptive Acceptance of Social Media Policy Change: a Set-Theoretic Analysis of B2B SMEs," Information Systems Frontiers, Springer, vol. 23(3), pages 663-680, June.
  58. Bei Yan & Feng Mai & Chaojiang Wu & Rui Chen & Xiaolin Li, 2024. "A Computational Framework for Understanding Firm Communication During Disasters," Information Systems Research, INFORMS, vol. 35(2), pages 590-608, June.
  59. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
  60. Mazanec, Josef A., 2020. "Hidden theorizing in big data analytics: With a reference to tourism design research," Annals of Tourism Research, Elsevier, vol. 83(C).
  61. Rainer Alt & Hans-Dieter Zimmermann, 2017. "Electronic Markets on big data services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 191-195, August.
  62. Bhandari, Krishna Raj & Zámborský, Peter & Ranta, Mikko & Salo, Jari, 2023. "Digitalization, internationalization, and firm performance: A resource-orchestration perspective on new OLI advantages," International Business Review, Elsevier, vol. 32(4).
  63. Kraus, Mathias & Feuerriegel, Stefan & Oztekin, Asil, 2020. "Deep learning in business analytics and operations research: Models, applications and managerial implications," European Journal of Operational Research, Elsevier, vol. 281(3), pages 628-641.
  64. Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
  65. Luvai Motiwalla & Amit V. Deokar & Surendra Sarnikar & Angelika Dimoka, 2019. "Leveraging Data Analytics for Behavioral Research," Information Systems Frontiers, Springer, vol. 21(4), pages 735-742, August.
  66. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
  67. Singha, Sumanta & Arha, Himanshu & Kar, Arpan Kumar, 2023. "Healthcare analytics: A techno-functional perspective," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  68. M. M. Malik & S. Abdallah & M. Ala’raj, 2018. "Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review," Annals of Operations Research, Springer, vol. 270(1), pages 287-312, November.
  69. Shahriar Akter & Samuel Fosso Wamba, 2016. "Big data analytics in E-commerce: a systematic review and agenda for future research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 173-194, May.
  70. Liane Ströbel & Iring Koch & Torsten-Oliver Salge & David Antons, 2023. "To stay, remain or leave: how verbal concepts as response options in political referendums such as the Brexit polls might bias voting outcomes," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
  71. Stefania Cosci & Valentina Meliciani & Marco Pini, 2021. "Historical roots of innovative entrepreneurial culture: the impact of firms using motive power in 1927 on Italian provincial start-up rate," CERBE Working Papers wpC38, CERBE Center for Relationship Banking and Economics.
  72. Ilias O. Pappas & Patrick Mikalef & Michail N. Giannakos & John Krogstie & George Lekakos, 2018. "Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies," Information Systems and e-Business Management, Springer, vol. 16(3), pages 479-491, August.
  73. Jens Foerderer, 2023. "Should we trust web-scraped data?," Papers 2308.02231, arXiv.org.
  74. Mochen Yang & Gediminas Adomavicius & Gordon Burtch & Yuqing Rena, 2018. "Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining," Information Systems Research, INFORMS, vol. 29(1), pages 4-24, March.
  75. Yuan Li & William J. Kettinger, 2022. "Testing the Relationship Between Information and Knowledge in Computer-Aided Decision-Making," Information Systems Frontiers, Springer, vol. 24(6), pages 1827-1843, December.
  76. Godé, Cécile & Brion, Sébastien, 2024. "The affordance-actualization process of predictive analytics: Towards a configurational framework of a predictive policing system," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
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