Information exploitation of human resource data with persistent homology
Author
Abstract
Suggested Citation
DOI: 10.1016/j.jbusres.2023.114410
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Mayra Z Rodriguez & Cesar H Comin & Dalcimar Casanova & Odemir M Bruno & Diego R Amancio & Luciano da F Costa & Francisco A Rodrigues, 2019. "Clustering algorithms: A comparative approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-34, January.
- Sohrabi, Babak & Khalilijafarabad, Ahmad, 2018. "Systematic method for finding emergence research areas as data quality," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 280-287.
- 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.
- 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.
- Caputo, Francesco & Mazzoleni, Alberto & Pellicelli, Anna Claudia & Muller, Jens, 2020. "Over the mask of innovation management in the world of Big Data," Journal of Business Research, Elsevier, vol. 119(C), pages 330-338.
- 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.
- 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.
- Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
- L.R. Maglen, 1990. "Challenging the Human Capital Orthodoxy: The Education‐Productivity Link Re‐examined," The Economic Record, The Economic Society of Australia, vol. 66(4), pages 281-294, December.
- C. J. Carstens & K. J. Horadam, 2013. "Persistent Homology of Collaboration Networks," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, June.
- Zhang, Xiaomeng & Zhou, Jing, 2014. "Empowering leadership, uncertainty avoidance, trust, and employee creativity: Interaction effects and a mediating mechanism," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(2), pages 150-164.
- repec:bla:ecorec:v:66:y:1990:i:195:p:281-94 is not listed on IDEAS
- Zhang, Yucheng & Xu, Shan & Zhang, Long & Yang, Mengxi, 2021. "Big data and human resource management research: An integrative review and new directions for future research," Journal of Business Research, Elsevier, vol. 133(C), pages 34-50.
- Lu, Chia-Mei & Chen, Shyh-Jer & Huang, Pei-Chi & Chien, Jui-Ching, 2015. "Effect of diversity on human resource management and organizational performance," Journal of Business Research, Elsevier, vol. 68(4), pages 857-861.
- Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
- Escolar, Emerson G. & Hiraoka, Yasuaki & Igami, Mitsuru & Ozcan, Yasin, 2023. "Mapping firms’ locations in technological space: A topological analysis of patent statistics," Research Policy, Elsevier, vol. 52(8).
- Y Dabaghian & F Mémoli & L Frank & G Carlsson, 2012. "A Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology," PLOS Computational Biology, Public Library of Science, vol. 8(8), pages 1-14, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- 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).
- 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.
- Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
- Dr. Zahra Ishtiaq Paul & Hafiz Muhammad Sohail Khan, 2024. "Reshaping the future of HR: Human Resource Analytics and Talent Management," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 332-340.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- J. Piet Hausberg & Kirsten Liere-Netheler & Sven Packmohr & Stefanie Pakura & Kristin Vogelsang, 2019. "Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis," Journal of Business Economics, Springer, vol. 89(8), pages 931-963, December.
- 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.
- Zhang, Yucheng & Xu, Shan & Zhang, Long & Yang, Mengxi, 2021. "Big data and human resource management research: An integrative review and new directions for future research," Journal of Business Research, Elsevier, vol. 133(C), pages 34-50.
- 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.
- Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
- Jean-Sébastien Lacam & David Salvetat, 2023. "Influence of the CEO's personality traits of SME on the orchestration of big data," Post-Print hal-03972993, HAL.
- 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.
- 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.
- 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).
- 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.
More about this item
Keywords
Recruitment; Training; Performance evaluation; Persistent homology;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:172:y:2024:i:c:s0148296323007695. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.