Ajay KUMAR
Professeur associé
Thèmes de recherche
1. Science des données
2. Analyse prédictive
3. Prétraitement des données volumineuses
4. Intelligence artificielle
5. Machine Learning
6. Gouvernance des données
7. Publicité et marketing numériques
Prix et récompenses
Publications
Wong, Wai-Peng, Tan, Kim Hua, Govindan, Kannan, Li, Di, Kumar, Ajay. 2023. A conceptual framework for information-leakage-resilience. Annals of Operations Research, 329 (1-2) : 931-951 p.
Liu, Xin, Zhou, Yanju, Wang, Zongrun, Wang, Wei, Kumar, Ajay, Wei, Wei. 2023. User's Cognitive-Behavior-Based Preference Access Under Disease-Specific Online Medical Inquiry Text Mining. IEEE Transactions on Engineering Management, 70 (8) : 2827-2845 p.
Xia, Yang, Zeng, Wenjia, Xing, Xinjie, Zhan, Yuanzhu, Tan, Kim Hua, Kumar, Ajay. 2023. Joint optimisation of drone routing and battery wear for sustainable supply chain development: A mixed-integer programming model based on blockchain-enabled fleet sharing. Annals of Operations Research, 327 (1) : 89-127 p.
Choudhary, Divya, Kumar, Ajay, Huo, Baofeng. 2023. Examination of sustainability risk in freight shipping based on the theory of planned behavior with temporal analysis. Transportation Research Part E: Logistics and Transportation Review, 176 : 28 p.
Fjellström, Daniella, Hilletofth, Per, Fang, Tony, Kumar, V., Kumar, Ajay, Tan, Kim Hua. 2023. Manufacturing Relocation Ambiguity Model: A Prerequisite for Knowledge Management. British Journal of Management, 34 (3) : 1100-1116 p.
Sharma, Satyendra Kumar, Srivastava, Praveen Ranjan, Kumar, Ajay, Jindal, Anil, Gupta, Shivam. 2023. Supply chain vulnerability assessment for manufacturing industry. Annals of Operations Research, 326 (2) : 653-683 p.
Gupta, Shivam, Modgil, Sachin, Choi, Tsan-Ming, Kumar, Ajay, Antony, Jiju. 2023. Influences of artificial intelligence and blockchain technology on financial resilience of supply chains. International Journal of Production Economics, 261 : 16 p.
Pitakaso, Rapeepan, Sethanan, Kanchana, Tan, Kim Hua, Kumar, Ajay. 2023. A decision support system based on an artificial multiple intelligence system for vegetable crop land allocation problem. Annals of Operations Research, FORTH : 36 p.
Srivastava, Praveen Ranjan, Eachempati, Prajwal, Kumar, Ajay, Jha, Ashish Kumar, Dhamotharan, Lalitha. 2023. Best strategy to win a match: An analytical approach using hybrid machine learning-clustering-association rule framework. Annals of Operations Research, 325 (1) : 319-361 p.
Rauniyar, Komal, Wu, Xiaobo, Gupta, Shivam, Modgil, Sachin, Kumar, Ajay. 2023. Digitizing global supply chains through blockchain. Production Planning & Control, FORTH : 23 p.
Panchal, Gajanan B., Mirzahosseinian, Hassan, Tiwari, Sunil, Kumar, Ajay, Kumar Mangla, Sachin. 2023. Supply chain network redesign problem for major beverage organization in ASEAN region. Annals of Operations Research, 324 (1-2) : 1067-1098 p.
Shalpegin, Timofey, Kumar, Ajay, Browning, Tyson. 2023. Undiversity, inequity, and exclusion in supply chains: The unintended fallout of economic sanctions and consumer boycotts. Production and Operations Management, FORTH : 7 p.
Tan, Cheng Ling, Tei, Zhongkai, Yeo, Sook Fern, Lai, Kee-Hung, Kumar, Ajay, Chung, Leanne. 2023. Nexus among blockchain visibility, supply chain integration and supply chain performance in the digital transformation era. Industrial Management & Data Systems, 123 (1) : 229-252 p.
Pal, Shounak, Biswas, Baidyanath, Gupta, Rohit, Kumar, Ajay, Gupta, Shivam. 2023. Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach. Journal of Business Research, 156 : 15 p.
Chatterjee, Swagato, Ghatak, Arpita, Nikte, Ratnadeep, Gupta, Shivam, Kumar, Ajay. 2023. Measuring SERVQUAL dimensions and their importance for customer-satisfaction using online reviews: a text mining approach. Journal of Enterprise Information Management, 36 (1) : 22-44 p.
Gupta, Rachita, Shankar, Ravi, Lai, Kee-Hung, Kumar, Ajay. 2023. Risk profiling of food security impediments using decision maker’s behavioural preference towards operational risk management. Annals of Operations Research, FORTH : 36 p.
Chatterjee, Sheshadri, Chaudhuri, Ranjan, Kumar, Ajay, Aránega, Alba Yela, Biswas, Baidyanath. 2023. Development of an integrative model for electronic vendor relationship management for improving technological innovation, social change and sustainability performance. Technological Forecasting & Social Change, 186 Part B : 12 p.
Yan, Yuwei, Ma, Xiaomeng, Song, Yi, Kumar, Ajay, Yang, Ruixian. 2023. Exploring the interaction and choice behavior of organization and individuals in the crowd logistics. Annals of Operations Research, 320 (2) : 1021-1040 p.
Gupta, Shivam, Modgil, Sachin, Kumar, Ajay, Sivarajah, Uthayasankar, Irani, Zahir. 2022. Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations. International Journal of Production Economics, 254 : 16 p.
Liu, Haoyu, Tan, Kim Hua, Kumar, Ajay, Singh, Sanjay Kumar, Chung, Leanne. 2022. Value Co-creation in Sports Live Streaming Platforms: A Microfoundations Perspective. IEEE Transactions on Engineering Management, FORTH : 12 p.
Sahu, Santosh Kumar, Bagchi, Prantik, Kumar, Ajay, Tan, Kim Hua. 2022. Technology, price instruments and energy intensity: a study of firms in the manufacturing sector of the Indian economy. Annals of Operations Research, 313 : 319-339 p.
Linghu, Dazhi, Wu, Xinli, Lai, Kee-Hung, Ye, Fei, Kumar, Ajay, Tan, Kim Hua. 2022. Implementation strategy and emission reduction effectiveness of carbon cap-and-trade in heterogeneous enterprises. International Journal of Production Economics, 248 : 15 p.
Han, Shuihua, Jia, Xinyun, Chen, Xinming, Gupta, Shivam, Kumar, Ajay, Lin, Zhibin. 2022. Search well and be wise: A machine learning approach to search for a profitable location. Journal of Business Research, 144 : 416-427 p.
Ji, Guojun, Zhou, Shu, Lai, Kee-Hung, Tan, Kim Hua, Kumar, Ajay. 2022. Timing of blockchain adoption in a supply chain with competing manufacturers. International Journal of Production Economics, 247 : 14 p.
Bagchi, Prantik, Sahu, Santosh Kumar, Kumar, Ajay, Tan, Kim Hua. 2022. Analysis of carbon productivity for firms in the manufacturing sector of India. Technological Forecasting & Social Change, 178 : 14 p.
Kumar, Ajay, Gopal, Ram D., Shankar, Ravi, Tan, Kim Hua. 2022. Fraudulent review detection model focusing on emotional expressions and explicit aspects: investigating the potential of feature engineering. Decision Support Systems, 155
Yeo, Sook Fern, Tan, Cheng Ling, Kumar, Ajay, Tan, Kim Hua, Wong, Jee Kit. 2022. Investigating the impact of AI-powered technologies on Instagrammers’ purchase decisions in digitalization era–A study of the fashion and apparel industry. Technological Forecasting & Social Change, 177 : 14 p.
Chatterjee, Sheshadri, Chaudhuri, Ranjan, Izquierdo González, Vanessa, Kumar, Ajay, Singh, Sanjay Kumar. 2022. Resource integration and dynamic capability of frontline employee during COVID-19 pandemic: From value creation and engineering management perspectives. Technological Forecasting & Social Change, 176
Wang, Haiyan, Masi, Donato, Dhamotharan, Lalitha, Day, Steven, Kumar, Ajay, Li, Tong, Singh, Gurmeet. 2022. Unconventional path dependence: How adopting product take-back and recycling systems contributes to future eco-innovations. Journal of Business Research, 142 : 707-717 p.
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, 245 : 11 p.
Liu, Zhiqiang, Huang, Yanyi, Huang, Ying, Song, Yiping Amy, Kumar, Ajay. 2022. How does one-sided versus two-sided customer orientation affect B2B platform’s innovation: Differential effects with top management team status. Journal of Business Research, 141 : 619-632 p.
Chen, Daqiang, Sun, Danzhi, Yin, Yunqiang, Dhamotharan, Lalitha, Kumar, Ajay, Guo, Yihan. 2022. The resilience of logistics network against node failures. International Journal of Production Economics, 244 : 15 p.
Schiavone, Francesco, Leone, Daniele, Caporuscio, Andrea, Kumar, Ajay. 2022. Revealing the role of intellectual capital in digitalized health networks: A meso‑level analysis for building and monitoring a KPI dashboard. Technological Forecasting and Social Change, 175 : 9 p.
Biswas, Baidyanath, Mukhopadhyay, Arunabha, Bhattacharjee, Sudip, Kumar, Ajay, Delen, Dursun. 2022. A text-mining based cyber-risk assessment and mitigation framework for critical analysis of online hacker forums. Decision Support Systems, 152 : 13 p.
Eachempati, Prajwal, Srivastava, Praveen Ranjan, Kumar, Ajay, Muñoz de Prat, Javier, Delen, Dursun. 2022. Can customer sentiment impact firm value?: An integrated text mining approach. Technological Forecasting & Social Change, 174 : 18 p.
Srivastava, Praveen Ranjan, Sengupta, Kinshuk, Kumar, Ajay, Biswas, Baidyanath, Ishizaka, Alessio. 2022. Post-epidemic factors influencing customer's booking intent for a hotel or leisure spot: an empirical study. Journal of Enterprise Information Management, 35 (1) : 78-99 p.
Choudhuri, Bhaskar, Srivastava, Praveen Ranjan, Gupta, Shivam, Kumar, Ajay, Bag, Surajit. 2021. Determinants of Smart Digital Infrastructure Diffusion for Urban Public Services. Journal of Global Information Management, 29 (6) : 27 p.
Sengupta, Pooja, Biswas, Baidyanath, Kumar, Ajay, Shankar, Ravi, Gupta, Shivam. 2021. Examining the predictors of successful Airbnb bookings with Hurdle models: Evidence from Europe, Australia, USA and Asia-Pacific cities. Journal of Business Research, 137 : 538-554 p.
Kazancoglu, Yigit, Sezer, Muruvvet Deniz, Ozkan-Ozen, Yesim Deniz, Kumar Mangla, Sachin, Kumar, Ajay. 2021. Industry 4.0 impacts on responsible environmental and societal management in the family business. Technological Forecasting and Social Change, 173 : 11 p.
Shayganmehr, Masoud, Gupta, Shivam, Laguir, Issam, Stekelorum, Rebecca, Kumar, Ajay. 2021. Assessing the role of industry 4.0 for enhancing swift trust and coordination in humanitarian supply chain. Annals of Operations Research, FORTH
Chen, Jacky, Lim, Chee Peng, Tan, Kim Hua, Govindan, Kannan, Kumar, Ajay. 2021. Artificial intelligence-based human-centric decision support framework: an application to predictive maintenance in asset management under pandemic environments. Annals of Operations Research, FORTH
Stekelorum, Rebecca, Laguir, Issam, Lai, Kee-Hung, Gupta, Shivam, Kumar, Ajay. 2021. Responsible governance mechanisms and the role of suppliers’ ambidexterity and big data predictive analytics capabilities in circular economy practices improvements. Transportation Research Part E: Logistics and Transportation Review, 155 : 19 p.
Vanany, Iwan, Ali, Mohd Helmi, Tan, Kim Hua, Kumar, Ajay, Siswanto, Nurhadi. 2021. A Supply Chain Resilience Capability Framework and Process for Mitigating the COVID-19 Pandemic Disruption. IEEE Transactions on Engineering Management, FORTH
Xiong, Yangchun, Lam, Hugo K. S., Kumar, Ajay, Ngai, Eric W. T., Xiu, Chunyu, Wang, Xinyue. 2021. The mitigating role of blockchain-enabled supply chains during the COVID-19 pandemic. International Journal of Operations & Production Management, 41 (9) : 1495-1521 p.
Gupta, Shivam, Justy, Théo, Kamboj, Shampy, Kumar, Ajay, Kristoffersen, Eivind. 2021. Big data and firm marketing performance: Findings from knowledge-based view. Technological Forecasting & Social Change, 171
Ali, Mohd Helmi, Chung, Leanne, Kumar, Ajay, Zailani, Suhaiza, Tan, Kim Hua. 2021. A sustainable Blockchain framework for the halal food supply chain: Lessons from Malaysia. Technological Forecasting & Social Change, 170 : 14 p.
Eachempati, Prajwal, Srivastava, Praveen Ranjan, Kumar, Ajay, Tan, Kim Hua, Gupta, Shivam. 2021. Validating the impact of accounting disclosures on stock market: A deep neural network approach. Technological Forecasting & Social Change, 170 : 14 p.
Bag, Surajit, Gupta, Shivam, Choi, Tsan-Ming, Kumar, Ajay. 2021. Roles of Innovation Leadership on Using Big Data Analytics to Establish Resilient Healthcare Supply Chains to Combat the COVID-19 Pandemic: A Multimethodological Study. IEEE Transactions on Engineering Management, FORTH : 14 p.
Qayyum, Abdul, Razzak, Imran, Tanveer, M., Kumar, Ajay. 2021. Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis. Annals of Operations Research, FORTH
Seera, Manjeevan, Lim, Chee Peng, Kumar, Ajay, Dhamotharan, Lalitha, Tan, Kim Hua. 2021. An intelligent payment card fraud detection system. Annals of Operations Research, FORTH
Kumar, Ajay, Choi, Tsan-Ming, Fosso Wamba, Samuel, Gupta, Shivam, Tan, Kim Hua. 2021. Infection vulnerability stratification risk modelling of COVID-19 data: a deterministic SEIR epidemic model analysis. Annals of Operations Research, FORTH
Zhan, Yuanzhu, Chung, Leanne, Lim, Ming K., Ye, Fei, Kumar, Ajay, Tan, Kim Hua. 2021. The Impact of Sustainability on Supplier Selection: A behavioural study. International Journal of Production Economics, 236 : 12 p.
Bag, Surajit, Gupta, Shivam, Kumar, Ajay, Sivarajah, Uthayasankar. 2021. An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance. Industrial Marketing Management, 92 : 178-189 p.
Kumar, Ajay, Shankar, Ravi, Aljohani, Naif Radi. 2020. A big data driven framework for demand-driven forecasting with effects of marketing-mix variables. Industrial Marketing Management, 90 : 493-507 p.
Kumar, Ajay, Shankar, Ravi, Thakur, Lakshman S. 2018. A big data driven sustainable manufacturing framework for condition-based maintenance prediction. Journal of Computational Science, 27 : 428-439 p.
Kumar, Ajay, Shankar, Ravi, Choudhary, Alok, Thakur, Lakshman S. 2016. A big data MapReduce framework for fault diagnosis in cloud-based manufacturing. International Journal of Production Research, 54 (23) : 7060-7073 p.
Kumar, Ajay, Shankar, Ravi, Debnath, Roma Mitra. 2015. Analyzing customer preference and measuring relative efficiency in telecom sector: A hybrid fuzzy AHP/DEA study. Telematics and Informatics, 32 (3) : 447-462 p.
Articles académiques
Associations
- INFORMS
- Association for Information Systems (AIS)
Communications et Séminaires
- Kumar, A., Shankar, R., & Aljohani, N. (2019). A big data driven framework for demanddriven forecasting with effects of marketing-mix variables. Industrial Marketing Management. https://doi.org/10.1016/j.indmarman.2019.05.003
- Kumar, A., Shankar, R., & Thakur, LS. (2018). A big data driven sustainable manufacturing framework for condition-based manufactuting framework. Journal of Computational Science. https://doi.org/10.1016/j.jocs.2017.06.006
- Kumar, A., Shankar, R. (2017). A Big Data Driven Framework for Optimizing the ROI Marketing Mix Using Fuzzy Neural Neural Network, INFORMS Annual Meeting 2017, Houston, USA.
- Kumar, A. , R. Shankar , A. Choudhary , and L. S. Thakur . 2016. “A Big Data MapReduce Framework for Fault Diagnosis in Cloud-based Manufacturing.” International Journal of Production Research 54 (23): 7060–7073. https://doi.org/10.1080/00207543.2016.1153166
- Kumar, A., Shankar, R. (2015). A MapReduce Framework for Churning Prediction by Managing Data in Telecom Sector, INFORMS Annual Meeting 2015, Philadelphia, USA.
- Kumar, A., Shankar, R., Debnath, R.M., 2015. Analyzing customer preference and measuring relative efficiency in telecom sector: a hybrid fuzzy AHP/DEA study. Telematics and Informatics 32 (3), 447-462. https://doi.org/10.1016/j.tele.2014.10.003
- Kumar, A., Shankar, R. & Debnath, RM.(2014). Framework for Identifying Like-Minded Communities for Measuring Satisfaction Using Big Data Analytics, The Second ASE International Conference on Big Data Science and Computing, Stanford University (USA) on May 27-31, 2014