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Ramesh Sharda

Personal Details

First Name:Ramesh
Middle Name:
Last Name:Sharda
Suffix:
RePEc Short-ID:psh917
[This author has chosen not to make the email address public]
http://spears.okstate.edu/sharda

Affiliation

Spears School of Business
Oklahoma State University

Stillwater, Oklahoma (United States)
http://business.okstate.edu/
RePEc:edi:sboksus (more details at EDIRC)

Research output

as
Jump to: Articles Chapters

Articles

  1. Corey Baham & Pankush Kalgotra & Forough Nasirpouri Shadbad & Ramesh Sharda, 2023. "Generational differences in handling technology interruptions: a qualitative study," European Journal of Information Systems, Taylor & Francis Journals, vol. 32(5), pages 858-878, September.
  2. Ashwin Kumar Thandapani Kumarasamy & Daniel Adomako Asamoah & Ramesh Sharda, 2021. "Non-Communicable Diseases and Social Media: A Heart Disease Symptoms Application," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-21, December.
  3. Asamoah, Daniel Adomako & Sharda, Ramesh, 2021. "What should I believe? Exploring information validity on social network platforms," Journal of Business Research, Elsevier, vol. 122(C), pages 567-581.
  4. Kalgotra, Pankush & Gupta, Ashish & Sharda, Ramesh, 2021. "Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19," Journal of Business Research, Elsevier, vol. 134(C), pages 540-559.
  5. Kalgotra, Pankush & Sharda, Ramesh & Luse, Andy, 2020. "Which similarity measure to use in network analysis: Impact of sample size on phi correlation coefficient and Ochiai index," International Journal of Information Management, Elsevier, vol. 55(C).
  6. Amir Hassan Zadeh & Hamed M. Zolbanin & Ramesh Sharda & Dursun Delen, 2019. "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 743-760, August.
  7. Pankush Kalgotra & Ramesh Sharda & Roger McHaney, 2019. "Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: an Exploratory Neuroimaging Study," Information Systems Frontiers, Springer, vol. 21(5), pages 1019-1030, October.
  8. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
  9. Daniel A. Asamoah & Ramesh Sharda & Howard N. Rude & Derek Doran, 2018. "RFID-based information visibility for hospital operations: exploring its positive effects using discrete event simulation," Health Care Management Science, Springer, vol. 21(3), pages 305-316, September.
  10. Paras M. Agrawal & Ramesh Sharda, 2013. "OR Forum---Quantum Mechanics and Human Decision Making," Operations Research, INFORMS, vol. 61(1), pages 1-16, February.
  11. Foad Mahdavi Pajouh & Dahai Xing & Yingjue Zhou & Sharethram Hariharan & Balabhaskar Balasundaram & Tieming Liu & Ramesh Sharda, 2013. "A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Dates," Interfaces, INFORMS, vol. 43(6), pages 503-517, December.
  12. Chongwatpol, Jongsawas & Sharda, Ramesh, 2013. "RFID-enabled track and traceability in job-shop scheduling environment," European Journal of Operational Research, Elsevier, vol. 227(3), pages 453-463.
  13. Narges Kasiri & Ramesh Sharda & Bill Hardgrave, 2012. "A balanced scorecard for item-level RFID in the retail sector: a Delphi study," European Journal of Information Systems, Taylor & Francis Journals, vol. 21(3), pages 255-267, May.
  14. Agrawal, Paras M. & Sharda, Ramesh, 2012. "Impact of frequency of alignment of physical and information system inventories on out of stocks: A simulation study," International Journal of Production Economics, Elsevier, vol. 136(1), pages 45-55.
  15. Joseph Barjis & Ashish Gupta & Ramesh Sharda, 2011. "Knowledge work and communication challenges in networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 615-619, November.
  16. Ashish Gupta & Ramesh Sharda & Robert A. Greve, 2011. "You’ve got email! Does it really matter to process emails now or later?," Information Systems Frontiers, Springer, vol. 13(5), pages 637-653, November.
  17. Subramanian Rama Iyer & Ramesh Sharda & David Biros & Joyce Lucca & Upton Shimp, 2009. "Organization of Lessons Learned Knowledge: A Taxonomy and Implementation," International Journal of Knowledge Management (IJKM), IGI Global, vol. 5(3), pages 1-20, July.
  18. Ramesh Sharda & Dursun Delen, 2006. "How to Predict a Movie's Success at the Box Office," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 5, pages 32-36, Fall.
  19. Nicholas C. Romano & Ramesh Sharda & Joyce Lucca, 2005. "Computer-Supported Collaborative Learning Requiring Immersive Presence (CSCLIP): An Introduction," Information Systems Frontiers, Springer, vol. 7(1), pages 5-12, February.
  20. Ozgur Turetken & Ramesh Sharda, 2005. "Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation," Information Systems Frontiers, Springer, vol. 7(3), pages 273-297, July.
  21. Keith Willett & Ramesh Sharda, 1997. "Alternative Control Policies for Water Quality Management: An Experimental Economics Approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 40(4), pages 507-526.
  22. Sharda, Ramesh & Wang, Jun, 1996. "Neural networks and operations research/management science," European Journal of Operational Research, Elsevier, vol. 93(2), pages 227-229, September.
  23. Ramesh Sharda & David M. Steiger, 1996. "Inductive Model Analysis Systems: Enhancing Model Analysis in Decision Support Systems," Information Systems Research, INFORMS, vol. 7(3), pages 328-341, September.
  24. Steiger, David M. & Sharda, Ramesh, 1996. "Analyzing mathematical models with inductive learning networks," European Journal of Operational Research, Elsevier, vol. 93(2), pages 387-401, September.
  25. Ramesh Sharda, 1994. "Neural Networks for the MS/OR Analyst: An Application Bibliography," Interfaces, INFORMS, vol. 24(2), pages 116-130, April.
  26. Willett, Keith & Sharda, Ramesh, 1991. "Using the analytic hierarchy process in water resources planning: Selection of flood control projects," Socio-Economic Planning Sciences, Elsevier, vol. 25(2), pages 103-112.
  27. Ramesh Sharda, 1988. "The State of the Art of Linear Programming on Personal Computers," Interfaces, INFORMS, vol. 18(4), pages 49-58, August.
  28. Willett, Keith & Sharda, Ramesh, 1988. "Competing demands for water resources : A dynamic joint maximization model," Resources and Energy, Elsevier, vol. 10(2), pages 135-159, June.
  29. K Willett & R Sharda, 1988. "A Dynamic Multimarket Equilibrium Model for the Economic Analysis of Pollution Control Policies," Environment and Planning A, , vol. 20(3), pages 391-405, March.
  30. Ramesh Sharda & Steve H. Barr & James C. McDonnell, 1988. "Decision Support System Effectiveness: A Review and an Empirical Test," Management Science, INFORMS, vol. 34(2), pages 139-159, February.
  31. Ramesh Sharda, 1987. "A Simple Model to Estimate Bounds on Total Market Gains and Losses for a Particular Stock," Interfaces, INFORMS, vol. 17(5), pages 43-50, October.
  32. Ramesh Sharda & Kathryn D. Musser, 1986. "Financial Futures Hedging Via Goal Programming," Management Science, INFORMS, vol. 32(8), pages 933-947, August.
  33. Ramesh Sharda, 1984. "Linear Programming on Microcomputers: A Survey," Interfaces, INFORMS, vol. 14(6), pages 27-38, December.
    RePEc:inm:orijoc:v:5:y:1993:i:3:p:275-291 is not listed on IDEAS

Chapters

  1. Dursun Delen & Ramesh Sharda, 2008. "Artificial Neural Networks in Decision Support Systems," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 1, chapter 26, pages 557-580, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Asamoah, Daniel Adomako & Sharda, Ramesh, 2021. "What should I believe? Exploring information validity on social network platforms," Journal of Business Research, Elsevier, vol. 122(C), pages 567-581.

    Cited by:

    1. Yizhi Liu & Xuan Lu & Chengjiang Li & Gang Zhao, 2022. "The Influence of Content Presentation on Users’ Intention to Adopt mHealth Applications: Based on the S-O-R Theoretical Model," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    2. Lu, Lin & Xu, Pei & Wang, Yen-Yao & Wang, Yu, 2023. "Measuring service quality with text analytics: Considering both importance and performance of consumer opinions on social and non-social online platforms," Journal of Business Research, Elsevier, vol. 169(C).

  2. Kalgotra, Pankush & Gupta, Ashish & Sharda, Ramesh, 2021. "Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19," Journal of Business Research, Elsevier, vol. 134(C), pages 540-559.

    Cited by:

    1. Niousha Shahidi & Vesselina Tossan & Stéphane Bourliataux-Lajoinie & Silvia Cacho-Elizondo, 2022. "Behavioural intention to use a contact tracing application: The case of StopCovid in France," Post-Print hal-03666263, HAL.
    2. Shahidi, Niousha & Tossan, Vesselina & Bourliataux-Lajoinie, Stéphane & Cacho-Elizondo, Silvia, 2022. "Behavioural intention to use a contact tracing application: The case of StopCovid in France," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    3. Chen, Sihua & Qiu, Han & Wen, Xiang & Wang, Bolin & He, Wei & Shao, Xiuyan, 2024. "Does information disclosure alleviate overcrowding? An empirical study based on large-scale COVID-19 nucleic acid test," Journal of Business Research, Elsevier, vol. 171(C).
    4. Liu, Yunqiang & Liu, Sha & Ye, Deping & Tang, Hong & Wang, Fang, 2022. "Dynamic impact of negative public sentiment on agricultural product prices during COVID-19," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).

  3. Amir Hassan Zadeh & Hamed M. Zolbanin & Ramesh Sharda & Dursun Delen, 2019. "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 743-760, August.

    Cited by:

    1. María José Aramburu & Rafael Berlanga & Indira Lanza, 2020. "Social Media Multidimensional Analysis for Intelligent Health Surveillance," IJERPH, MDPI, vol. 17(7), pages 1-17, March.
    2. Osuji, Emeka & Evans, Olaniyi, 2020. "Tourism Effects of Pandemics: New Insights from the Novel Coronavirus," MPRA Paper 118199, University Library of Munich, Germany.
    3. Franco Arolfo & Kevin Cortés Rodriguez & Alejandro Vaisman, 2022. "Analyzing the Quality of Twitter Data Streams," Information Systems Frontiers, Springer, vol. 24(1), pages 349-369, February.
    4. Doruk Şen & Cem Çağrı Dönmez & Umman Mahir Yıldırım, 0. "A Hybrid Bi-level Metaheuristic for Credit Scoring," Information Systems Frontiers, Springer, vol. 0, pages 1-11.
    5. 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.
    6. Silvia Chiusano & Tania Cerquitelli & Robert Wrembel & Daniele Quercia, 2021. "Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science," Information Systems Frontiers, Springer, vol. 23(1), pages 1-7, February.
    7. Doruk Şen & Cem Çağrı Dönmez & Umman Mahir Yıldırım, 2020. "A Hybrid Bi-level Metaheuristic for Credit Scoring," Information Systems Frontiers, Springer, vol. 22(5), pages 1009-1019, October.
    8. Prabhsimran Singh & Surleen Kaur & Abdullah M. Baabdullah & Yogesh K. Dwivedi & Sandeep Sharma & Ravinder Singh Sawhney & Ronnie Das, 2023. "Is #SDG13 Trending Online? Insights from Climate Change Discussions on Twitter," Information Systems Frontiers, Springer, vol. 25(1), pages 199-219, February.
    9. 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.
    10. Liu, Hongfei & Jayawardhena, Chanaka & Osburg, Victoria-Sophie & Yoganathan, Vignesh & Cartwright, Severina, 2021. "Social sharing of consumption emotion in electronic word of mouth (eWOM): A cross-media perspective," Journal of Business Research, Elsevier, vol. 132(C), pages 208-220.

  4. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.

    Cited by:

    1. Francisco, Eduardo de Rezende & Kugler, José Luiz & Kang, Soong Moon & Silva, Ricardo & Whigham, Peter Alexander, 2019. "Além da tecnologia: Desafios gerenciais na era do Big Data," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 59(6), December.
    2. Ferreira, Paula & Rocha, Ana & Araujo, Madalena & Afonso, Joao L. & Antunes, Carlos Henggeler & Lopes, Marta A.R. & Osório, Gerardo J. & Catalão, João P.S. & Lopes, João Peças, 2023. "Assessing the societal impact of smart grids: Outcomes of a collaborative research project," Technology in Society, Elsevier, vol. 72(C).
    3. Matti Mäntymäki & Sami Hyrynsalmi & Antti Koskenvoima, 0. "How Do Small and Medium-Sized Game Companies Use Analytics? An Attention-Based View of Game Analytics," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    4. Rajat Kumar Behera & Pradip Kumar Bala & Nripendra P. Rana & Hatice Kizgin, 2022. "A Techno-Business Platform to Improve Customer Experience Following the Brand Crisis Recovery: A B2B Perspective," Information Systems Frontiers, Springer, vol. 24(6), pages 2027-2051, December.
    5. Christian Kauten & Ashish Gupta & Xiao Qin & Glenn Richey, 2022. "Predicting Blood Donors Using Machine Learning Techniques," Information Systems Frontiers, Springer, vol. 24(5), pages 1547-1562, October.
    6. 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.
    7. Ghassan Beydoun & Babak Abedin & José M. Merigó & Melanie Vera, 2019. "Twenty Years of Information Systems Frontiers," Information Systems Frontiers, Springer, vol. 21(2), pages 485-494, April.
    8. Denis Dennehy & Kieran Conboy & Jennifer Ferreira & Jaganath Babu, 2023. "Sustaining Open Source Communities by Understanding the Influence of Discursive Manifestations on Sentiment," Information Systems Frontiers, Springer, vol. 25(1), pages 241-257, February.
    9. Matti Mäntymäki & Sami Hyrynsalmi & Antti Koskenvoima, 2020. "How Do Small and Medium-Sized Game Companies Use Analytics? An Attention-Based View of Game Analytics," Information Systems Frontiers, Springer, vol. 22(5), pages 1163-1178, October.
    10. 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.
    11. Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.
    12. Matteo Francia & Patrick Marcel & Verónika Peralta & Stefano Rizzi, 2022. "Enhancing Cubes with Models to Describe Multidimensional Data," Information Systems Frontiers, Springer, vol. 24(1), pages 31-48, February.
    13. Silvia Chiusano & Tania Cerquitelli & Robert Wrembel & Daniele Quercia, 2021. "Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science," Information Systems Frontiers, Springer, vol. 23(1), pages 1-7, February.
    14. Victor Chang & Carole Goble & Muthu Ramachandran & Lazarus Jegatha Deborah & Reinhold Behringer, 2021. "Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19," Information Systems Frontiers, Springer, vol. 23(6), pages 1363-1367, December.
    15. Davit Marikyan & Savvas Papagiannidis & Eleftherios Alamanos, 2023. "Cognitive Dissonance in Technology Adoption: A Study of Smart Home Users," Information Systems Frontiers, Springer, vol. 25(3), pages 1101-1123, June.
    16. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
    17. 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.
    18. Olivera Marjanovic & Greg Patmore & Nikola Balnave, 2023. "Visual Analytics: Transferring, Translating and Transforming Knowledge from Analytics Experts to Non-technical Domain Experts in Multidisciplinary Teams," Information Systems Frontiers, Springer, vol. 25(4), pages 1571-1588, August.
    19. Thomas Schulz & Heiko Gewald & Markus Böhm & Helmut Krcmar, 2023. "Smart Mobility: Contradictions in Value Co-Creation," Information Systems Frontiers, Springer, vol. 25(3), pages 1125-1145, June.
    20. Kiljae Lee & Kyung Young Lee & Lorn Sheehan, 2020. "Hey Alexa! A Magic Spell of Social Glue?: Sharing a Smart Voice Assistant Speaker and Its Impact on Users’ Perception of Group Harmony," Information Systems Frontiers, Springer, vol. 22(3), pages 563-583, June.
    21. Benjamin Clapham & Michael Siering & Peter Gomber, 2021. "Popular News Are Relevant News! How Investor Attention Affects Algorithmic Decision-Making and Decision Support in Financial Markets," Information Systems Frontiers, Springer, vol. 23(2), pages 477-494, April.

  5. Daniel A. Asamoah & Ramesh Sharda & Howard N. Rude & Derek Doran, 2018. "RFID-based information visibility for hospital operations: exploring its positive effects using discrete event simulation," Health Care Management Science, Springer, vol. 21(3), pages 305-316, September.

    Cited by:

    1. Peter Chemweno & Liliane Pintelon, 2020. "A comparative risk assessment of dialysis care processes in the home and hospital care contexts," 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. 11(5), pages 985-1002, October.
    2. Xinyu Yao & Karmel S. Shehadeh & Rema Padman, 2024. "Multi-resource allocation and care sequence assignment in patient management: a stochastic programming approach," Health Care Management Science, Springer, vol. 27(3), pages 352-369, September.

  6. Chongwatpol, Jongsawas & Sharda, Ramesh, 2013. "RFID-enabled track and traceability in job-shop scheduling environment," European Journal of Operational Research, Elsevier, vol. 227(3), pages 453-463.

    Cited by:

    1. Lili Wang & Bin Hu & Yihang Feng & Yanting Duan & Wuyi Zhang, 2022. "Food supply network disruption and mitigation: an integrated perspective of traceability technology and network structure," Computational and Mathematical Organization Theory, Springer, vol. 28(4), pages 352-389, December.
    2. Muawia Ramadan & Bashir Salah & Mohammed Othman & Arsath Abbasali Ayubali, 2020. "Industry 4.0-Based Real-Time Scheduling and Dispatching in Lean Manufacturing Systems," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    3. Chongwatpol, Jongsawas, 2015. "Integration of RFID and business analytics for trade show exhibitors," European Journal of Operational Research, Elsevier, vol. 244(2), pages 662-673.
    4. Guo, Z.X. & Ngai, E.W.T. & Yang, Can & Liang, Xuedong, 2015. "An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 16-28.
    5. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
    6. Montecchi, Matteo & Plangger, Kirk & West, Douglas C., 2021. "Supply chain transparency: A bibliometric review and research agenda," International Journal of Production Economics, Elsevier, vol. 238(C).
    7. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    8. Yingfeng Zhang & Dong Xi & Haidong Yang & Fei Tao & Zhe Wang, 2019. "Cloud manufacturing based service encapsulation and optimal configuration method for injection molding machine," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2681-2699, October.
    9. Jiewu Leng & Pingyu Jiang, 2019. "Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 979-994, March.
    10. Niraj Kumar Vishvakarma & Rohit Kumar Singh & R. R. K. Sharma, 2022. "Cluster and DEMATEL Analysis of Key RFID Implementation Factors Across Different Organizational Strategies," Global Business Review, International Management Institute, vol. 23(1), pages 176-191, February.
    11. Simonetto, Marco & Sgarbossa, Fabio & Battini, Daria & Govindan, Kannan, 2022. "Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 253(C).

  7. Agrawal, Paras M. & Sharda, Ramesh, 2012. "Impact of frequency of alignment of physical and information system inventories on out of stocks: A simulation study," International Journal of Production Economics, Elsevier, vol. 136(1), pages 45-55.

    Cited by:

    1. Li, Ming & Wang, Zheng & Chan, Felix T.S., 2016. "A robust inventory routing policy under inventory inaccuracy and replenishment lead-time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 290-305.
    2. Dai, Hongyan & Li, Jianbin & Yan, Nina & Zhou, Weihua, 2016. "Bullwhip effect and supply chain costs with low- and high-quality information on inventory shrinkage," European Journal of Operational Research, Elsevier, vol. 250(2), pages 457-469.
    3. Lei, Quansheng & Chen, Jian & Wei, Xingyu & Lu, Shan, 2015. "Supply chain coordination under asymmetric production cost information and inventory inaccuracy," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 204-218.
    4. Renko, Sanda & Druzijanic, Mirna, 2014. "Perceived usefulness of innovative technology in retailing: Consumers׳ and retailers׳ point of view," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 836-843.
    5. Cannella, Salvatore & Framinan, Jose M. & Bruccoleri, Manfredi & Barbosa-Póvoa, Ana Paula & Relvas, Susana, 2015. "The effect of Inventory Record Inaccuracy in Information Exchange Supply Chains," European Journal of Operational Research, Elsevier, vol. 243(1), pages 120-129.
    6. Cannella, Salvatore & Dominguez, Roberto & Framinan, Jose M., 2017. "Inventory record inaccuracy – The impact of structural complexity and lead time variability," Omega, Elsevier, vol. 68(C), pages 123-138.
    7. Wang, Fuqiang & Fang, Xiaoping & Chen, Xiaohong & Li, Xihua, 2016. "Impact of inventory inaccuracies on products with inventory-dependent demand," International Journal of Production Economics, Elsevier, vol. 177(C), pages 118-130.

  8. Joseph Barjis & Ashish Gupta & Ramesh Sharda, 2011. "Knowledge work and communication challenges in networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 615-619, November.

    Cited by:

    1. Gabriela Viale Pereira & Elsa Estevez & Diego Cardona & Carlos Chesñevar & Pablo Collazzo-Yelpo & Maria Alexandra Cunha & Eduardo Henrique Diniz & Alex Antonio Ferraresi & Frida Marina Fischer & Flúvi, 2020. "South American Expert Roundtable: Increasing Adaptive Governance Capacity for Coping with Unintended Side Effects of Digital Transformation," Sustainability, MDPI, vol. 12(2), pages 1-47, January.
    2. Francisco J. Gutierrez & Sergio F. Ochoa & Gustavo Zurita & Nelson Baloian, 2016. "Understanding student participation in undergraduate course communities: A case study," Information Systems Frontiers, Springer, vol. 18(1), pages 7-21, February.
    3. Jesús M. Hermida & Santiago Meliá & Andrés Montoyo & Jaime Gómez, 2013. "Applying model-driven engineering to the development of Rich Internet Applications for Business Intelligence," Information Systems Frontiers, Springer, vol. 15(3), pages 411-431, July.
    4. Helga Guðrún Óskarsdóttir & Guðmundur Valur Oddsson, 2017. "A Soft Systems Approach to Knowledge Worker Productivity—Analysis of the Problem Situation," Economies, MDPI, vol. 5(3), pages 1-27, August.
    5. Sam Solaimani & Harry Bouwman & Timo Itälä, 2015. "Networked enterprise business model alignment: A case study on smart living," Information Systems Frontiers, Springer, vol. 17(4), pages 871-887, August.
    6. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    7. Hongqiao Yang & Weizi Li & Kecheng Liu & Junping Zhang, 2012. "Knowledge-based clinical pathway for medical quality improvement," Information Systems Frontiers, Springer, vol. 14(1), pages 105-117, March.
    8. Yong Sun & Wenan Tan & Lingxia Li & Weiming Shen & Zhuming Bi & Xiaoming Hu, 2016. "A new method to identify collaborative partners in social service provider networks," Information Systems Frontiers, Springer, vol. 18(3), pages 565-578, June.

  9. Ashish Gupta & Ramesh Sharda & Robert A. Greve, 2011. "You’ve got email! Does it really matter to process emails now or later?," Information Systems Frontiers, Springer, vol. 13(5), pages 637-653, November.

    Cited by:

    1. Edstrom, Anne & Ewald, Jennifer D., 2019. "Characteristics of effective auto-reply emails: Politeness and perceptions," Technology in Society, Elsevier, vol. 58(C).
    2. Jean-François Stich & Samuel Farley & Cary Cooper & Monideepa Tarafdar, 2015. "Information and Communication Technology Demands: Outcomes and Interventions," Post-Print hal-01507888, HAL.
    3. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    4. Joseph Barjis & Ashish Gupta & Ramesh Sharda, 2011. "Knowledge work and communication challenges in networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 615-619, November.

  10. Nicholas C. Romano & Ramesh Sharda & Joyce Lucca, 2005. "Computer-Supported Collaborative Learning Requiring Immersive Presence (CSCLIP): An Introduction," Information Systems Frontiers, Springer, vol. 7(1), pages 5-12, February.

    Cited by:

    1. Sabine Köszegi & Gregory Kersten, 2003. "On-line/Off-line: Joint Negotiation Teaching in Montreal and Vienna," Group Decision and Negotiation, Springer, vol. 12(4), pages 337-345, July.
    2. Wenan Tan & Senbo Chen & Jingxian Li & Lingxia Li & Tong Wang & Xiaoming Hu, 2014. "A Trust Evaluation Model for E‐Learning Systems," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 353-365, May.
    3. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    4. Suning Zhu & Ashish Gupta & David Paradice & Casey Cegielski, 2019. "Understanding the Impact of Immersion and Authenticity on Satisfaction Behavior in Learning Analytics Tasks," Information Systems Frontiers, Springer, vol. 21(4), pages 791-814, August.

  11. Ozgur Turetken & Ramesh Sharda, 2005. "Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation," Information Systems Frontiers, Springer, vol. 7(3), pages 273-297, July.

    Cited by:

    1. Lin-Chih Chen, 0. "Interactive Topic Search System Based on Topic Cluster Technology," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    2. Lin-Chih Chen, 2021. "Interactive Topic Search System Based on Topic Cluster Technology," Information Systems Frontiers, Springer, vol. 23(5), pages 1227-1243, September.
    3. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

  12. Sharda, Ramesh & Wang, Jun, 1996. "Neural networks and operations research/management science," European Journal of Operational Research, Elsevier, vol. 93(2), pages 227-229, September.

    Cited by:

    1. Baker, Bruce D., 2001. "Can flexible non-linear modeling tell us anything new about educational productivity?," Economics of Education Review, Elsevier, vol. 20(1), pages 81-92, February.
    2. Soo-Seon Park & Murat Hancer, 2012. "A Comparative Study of Logit and Artificial Neural Networks in Predicting Bankruptcy in the Hospitality Industry," Tourism Economics, , vol. 18(2), pages 311-338, April.

  13. Ramesh Sharda & David M. Steiger, 1996. "Inductive Model Analysis Systems: Enhancing Model Analysis in Decision Support Systems," Information Systems Research, INFORMS, vol. 7(3), pages 328-341, September.

    Cited by:

    1. Dawn G. Gregg & Uday R. Kulkarni & Ajay S. Vinzé, 2001. "Understanding the Philosophical Underpinnings of Software Engineering Research in Information Systems," Information Systems Frontiers, Springer, vol. 3(2), pages 169-183, June.

  14. Ramesh Sharda, 1994. "Neural Networks for the MS/OR Analyst: An Application Bibliography," Interfaces, INFORMS, vol. 24(2), pages 116-130, April.

    Cited by:

    1. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
    2. Jeeeun Kim & Sungjoo Lee, 2017. "Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 47-65, April.
    3. Eleimon Gonis & Salima Paul & Jon Tucker, 2012. "Rating or no rating? That is the question: an empirical examination of UK companies," The European Journal of Finance, Taylor & Francis Journals, vol. 18(8), pages 709-735, September.
    4. James R. Coakley & Carol E. Brown, 2000. "Artificial neural networks in accounting and finance: modeling issues," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(2), pages 119-144, June.
    5. Davalos, Sergio & Gritta, Richard D. & Adrangi, Bahram, 2007. "Deriving Rules for Forecasting Air Carrier Financial Stress and Insolvency: A Genetic Algorithm Approach," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 46(2).
    6. Khurshid Kiani, 2005. "Detecting Business Cycle Asymmetries Using Artificial Neural Networks and Time Series Models," Computational Economics, Springer;Society for Computational Economics, vol. 26(1), pages 65-89, August.
    7. Khurshid Kiani, 2011. "Fluctuations in Economic and Activity and Stabilization Policies in the CIS," Computational Economics, Springer;Society for Computational Economics, vol. 37(2), pages 193-220, February.
    8. Li, Hongtao & Bai, Juncheng & Li, Yongwu, 2019. "A novel secondary decomposition learning paradigm with kernel extreme learning machine for multi-step forecasting of container throughput," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    9. Yijie Peng & Li Xiao & Bernd Heidergott & L. Jeff Hong & Henry Lam, 2022. "A New Likelihood Ratio Method for Training Artificial Neural Networks," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 638-655, January.
    10. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    11. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    12. Mostafa, Mohamed M. & El-Masry, Ahmed A., 2013. "Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques," International Journal of Information Management, Elsevier, vol. 33(4), pages 627-641.
    13. Angelos Mimis & Antonis Rovolis & Marianthi Stamou, 2013. "Property valuation with artificial neural network: the case of Athens," Journal of Property Research, Taylor & Francis Journals, vol. 30(2), pages 128-143, June.
    14. Schewe, Gerhard & Leker, Jens, 1996. "Empirische Insolvenzforschung: Ein Vergleich ausgewählter Instrumente," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 401, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    15. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
    16. Juan Camilo Santana, 2008. "La curva de rendimientos: una revisión metodológica y nuevas aproximaciones de estimación," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, July.

  15. Willett, Keith & Sharda, Ramesh, 1991. "Using the analytic hierarchy process in water resources planning: Selection of flood control projects," Socio-Economic Planning Sciences, Elsevier, vol. 25(2), pages 103-112.

    Cited by:

    1. Gabriel, Steven A. & Kumar, Satheesh & Ordonez, Javier & Nasserian, Amirali, 2006. "A multiobjective optimization model for project selection with probabilistic considerations," Socio-Economic Planning Sciences, Elsevier, vol. 40(4), pages 297-313, December.
    2. Ebrahim Ahmadisharaf & Alfred Kalyanapu & Eun-Sung Chung, 2015. "Evaluating the Effects of Inundation Duration and Velocity on Selection of Flood Management Alternatives Using Multi-Criteria Decision Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2543-2561, June.
    3. Xu, Z., 2000. "On consistency of the weighted geometric mean complex judgement matrix in AHP," European Journal of Operational Research, Elsevier, vol. 126(3), pages 683-687, November.
    4. Yi-Ru Chen & Chao-Hsien Yeh & Bofu Yu, 2011. "Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan," 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. 59(3), pages 1261-1276, December.

  16. Ramesh Sharda & Steve H. Barr & James C. McDonnell, 1988. "Decision Support System Effectiveness: A Review and an Empirical Test," Management Science, INFORMS, vol. 34(2), pages 139-159, February.

    Cited by:

    1. Bikram Pratim Bhuyan & Ravi Tomar & Amar Ramdane Cherif, 2022. "A Systematic Review of Knowledge Representation Techniques in Smart Agriculture (Urban)," Sustainability, MDPI, vol. 14(22), pages 1-36, November.
    2. Ninko Kostovski & Marjan Bojadjiev & Hari Lokvenec, 2017. "Decision Support Systems For New Project Development In Fast Moving Consumer Goods Industries," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 4-14, October.
    3. Salo, Ahti A., 1995. "Interactive decision aiding for group decision support," European Journal of Operational Research, Elsevier, vol. 84(1), pages 134-149, July.
    4. Mi, Hwang, 1998. "Did Task Type Matter in the Use of Decision Room GSS? A Critical Review and a Meta-analysis," Omega, Elsevier, vol. 26(1), pages 1-15, February.
    5. Gelderman, M., 1995. "Factors affecting the success of management support systems: analysis and meta-analysis," Serie Research Memoranda 0020, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    6. Vetschera, Rudolf & Walterscheid, Heinz, 1993. "A process-oriented framework for the evaluation of managerial support systems," Discussion Papers, Series I 264, University of Konstanz, Department of Economics.
    7. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    8. van Bruggen, G.H. & Smidts, A. & Wierenga, B., 2000. "The Powerful Triangle of Marketing Data, Managerial Judgment, and Marketing Management Support Systems," ERIM Report Series Research in Management ERS-2000-33-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    10. vom Scheidt, Frederik & Staudt, Philipp, 2024. "A data-driven Recommendation Tool for Sustainable Utility Service Bundles," Applied Energy, Elsevier, vol. 353(PB).
    11. Edward Christensen & Jerry Fjermestad, 1997. "Challenging Group Support Systems Research: The Case for Strategic Decision Making," Group Decision and Negotiation, Springer, vol. 6(4), pages 351-372, July.
    12. Chuan-Hoo Tan & Hock-Hai Teo & Izak Benbasat, 2010. "Assessing Screening and Evaluation Decision Support Systems: A Resource-Matching Approach," Information Systems Research, INFORMS, vol. 21(2), pages 305-326, June.
    13. Lilien, G.L. & Rangaswamy, A. & Starke, K. & van Bruggen, G.H., 2001. "How and Why Decision Models Influence Marketing Resource Allocations," ERIM Report Series Research in Management ERS-2001-33-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    15. Althuizen, N.A.P. & Wierenga, B., 2003. "The Effectiveness of Case-Based Reasoning: An Application in Sales Promotions," ERIM Report Series Research in Management ERS-2003-053-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Kumar, Ram L., 1999. "Understanding DSS value: an options perspective," Omega, Elsevier, vol. 27(3), pages 295-304, June.
    17. Anthony William Bennett & Simone Müller Loose, 2024. "User-Centered Development of an Online Dashboard Tool for Economic Sustainability for Small and Medium Enterprises," Sustainability, MDPI, vol. 16(2), pages 1-24, January.
    18. Stone, Dan N. & Kadous, Kathryn, 1997. "The Joint Effects of Task-Related Negative Affect and Task Difficulty in Multiattribute Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 70(2), pages 159-174, May.
    19. Bachler, Sebastian & Haeussler, Stefan & Momsen, Katharina & Stefan, Matthias, 2024. "Do people willfully ignore decision support? Evidence from an online experiment," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302404, Verein für Socialpolitik / German Economic Association.
    20. Gelderman, Maarten, 1997. "Task difficulty, task variability and satisfaction with management support systems: consequences and solutions ˜," Serie Research Memoranda 0053, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    21. H Dhami & M Grabowski, 2011. "Technology impacts on safety and decision making over time in marine transportation," Journal of Risk and Reliability, , vol. 225(3), pages 269-292, September.
    22. Gary L. Lilien & Arvind Rangaswamy & Gerrit H. Van Bruggen & Katrin Starke, 2004. "DSS Effectiveness in Marketing Resource Allocation Decisions: Reality vs. Perception," Information Systems Research, INFORMS, vol. 15(3), pages 216-235, September.
    23. Lilien, Gary L. & Rangaswamy, Arvind & van Bruggen, Gerrit H. & Wierenga, Berend, 2002. "Bridging the marketing theory-practice gap with marketing engineering," Journal of Business Research, Elsevier, vol. 55(2), pages 111-121, February.
    24. She-I Chang & David C. Yen & Celeste See-Pui Ng & I-Cheng Chang & Sheng-Yu Yu, 2011. "An ERP system performance assessment model development based on the balanced scorecard approach," Information Systems Frontiers, Springer, vol. 13(3), pages 429-450, July.
    25. Norbert Koppenhagen & Benjamin Mueller & Alexander Maedche & Ye Li & Stephanie Hiller, 2016. "Designing a supply network artifact for data, process, and people integration," Information Systems and e-Business Management, Springer, vol. 14(3), pages 613-636, August.
    26. Günther, Finn & Möller, Klaus & Wenig, Philipp, 2015. "Erfolgswirkung einer proaktiven Unternehmensstrategie zur Integration natürlicher Ressourcen," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 69(1), pages 25-53.
    27. Peter R. Monge & Janet Fulk & Michael E. Kalman & Andrew J. Flanagin & Claire Parnassa & Suzanne Rumsey, 1998. "Production of Collective Action in Alliance-Based Interorganizational Communication and Information Systems," Organization Science, INFORMS, vol. 9(3), pages 411-433, June.
    28. Peter Todd & Izak Benbasat, 1999. "Evaluating the Impact of DSS, Cognitive Effort, and Incentives on Strategy Selection," Information Systems Research, INFORMS, vol. 10(4), pages 356-374, December.
    29. Liguo Lou & Zilu Tian & Joon Koh, 2017. "Tourist Satisfaction Enhancement Using Mobile QR Code Payment: An Empirical Investigation," Sustainability, MDPI, vol. 9(7), pages 1-14, July.
    30. Leeuwen, Jerry van & Heijden, Hans van der & Kronsteiner, Reinhard, 2003. "Group Decision Support for Resource Allocation Decisions in Three-Person Groups," Serie Research Memoranda 0025, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    31. Reza Barkhi & Varghese S. /fnms> Jacob & Hasan Pirkul, 1999. "An Experimental Analysis of Face to Face versus Computer Mediated Communication Channels," Group Decision and Negotiation, Springer, vol. 8(4), pages 325-347, July.
    32. Gerrit H. van Bruggen & Ale Smidts & Berend Wierenga, 1998. "Improving Decision Making by Means of a Marketing Decision Support System," Management Science, INFORMS, vol. 44(5), pages 645-658, May.
    33. Patrick Krieger & Carsten Lausberg, 2021. "Entscheidungen, Entscheidungsfindung und Entscheidungsunterstützung in der Immobilienwirtschaft: Eine systematische Literaturübersicht [Decisions, decision-making and decisions support systems in r," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 7(1), pages 1-33, April.
    34. Alex Richardson & Shirley Gregor & Richard Heaney, 2012. "Using decision support to manage the influence of cognitive abilities on share trading performance," Australian Journal of Management, Australian School of Business, vol. 37(3), pages 523-541, December.
    35. David Engel & Anita Williams Woolley & Lisa X Jing & Christopher F Chabris & Thomas W Malone, 2014. "Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-16, December.
    36. Phillips-Wren, G. & Mora, M. & Forgionne, G.A. & Gupta, J.N.D., 2009. "An integrative evaluation framework for intelligent decision support systems," European Journal of Operational Research, Elsevier, vol. 195(3), pages 642-652, June.
    37. Lu, Hsi-Peng & Yu, Huei-Ju & Lu, Simon S. K., 2001. "The effects of cognitive style and model type on DSS acceptance: An empirical study," European Journal of Operational Research, Elsevier, vol. 131(3), pages 649-663, June.
    38. Michael Ahearne & Eli Jones & Adam Rapp & John Mathieu, 2008. "High Touch Through High Tech: The Impact of Salesperson Technology Usage on Sales Performance via Mediating Mechanisms," Management Science, INFORMS, vol. 54(4), pages 671-685, April.
    39. Martin S. Schilling & Nadine Oeser & Cornelius Schaub, 2007. "How Effective Are Decision Analyses? Assessing Decision Process and Group Alignment Effects," Decision Analysis, INFORMS, vol. 4(4), pages 227-242, December.
    40. Paget, Nicolas & Le Gal, Pierre-Yves & Goulet, Frédéric, 2024. "Motivations and challenges of intrapreneurship in research organizations. The case of decision support systems in agricultural research for development," Technovation, Elsevier, vol. 130(C).
    41. Manika, Danae & Antonetti, Paolo & Papagiannidis, Savvas & Guo, Xiaojing, 2021. "How Pride Triggered by Pro-environmental Technology Adoption Spills Over into Conservation Behaviours: A Social Business Application," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    42. Patrick Schittekat & Kenneth Sörensen, 2009. "OR Practice---Supporting 3PL Decisions in the Automotive Industry by Generating Diverse Solutions to a Large-Scale Location-Routing Problem," Operations Research, INFORMS, vol. 57(5), pages 1058-1067, October.
    43. Gudigantala, Naveen & Song, Jaeki & Jones, Donald, 2011. "User satisfaction with Web-based DSS: The role of cognitive antecedents," International Journal of Information Management, Elsevier, vol. 31(4), pages 327-338.
    44. Fred Niederman & John Bryson, 1998. "Influence of Computer-Based Meeting Support on Process and Outcomes for a Divisional Coordinating Group," Group Decision and Negotiation, Springer, vol. 7(4), pages 293-325, July.

  17. Ramesh Sharda, 1987. "A Simple Model to Estimate Bounds on Total Market Gains and Losses for a Particular Stock," Interfaces, INFORMS, vol. 17(5), pages 43-50, October.

    Cited by:

    1. John Board & Charles Sutcliffe & William T. Ziemba, 2003. "Applying Operations Research Techniques to Financial Markets," Interfaces, INFORMS, vol. 33(2), pages 12-24, April.

  18. Ramesh Sharda & Kathryn D. Musser, 1986. "Financial Futures Hedging Via Goal Programming," Management Science, INFORMS, vol. 32(8), pages 933-947, August.

    Cited by:

    1. Cinzia Colapinto & Raja Jayaraman & Simone Marsiglio, 2017. "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, Springer, vol. 251(1), pages 7-40, April.
    2. Aouni, Belaid & Kettani, Ossama, 2001. "Goal programming model: A glorious history and a promising future," European Journal of Operational Research, Elsevier, vol. 133(2), pages 225-231, January.
    3. Hinz, Holger, 1990. "Some advances in supporting international financial management decisions," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 248, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Kwak, N. K. & Lee, Changwon, 1998. "A multicriteria decision-making approach to university resource allocations and information infrastructure planning," European Journal of Operational Research, Elsevier, vol. 110(2), pages 234-242, October.
    5. Aouni, Belaid & Colapinto, Cinzia & La Torre, Davide, 2014. "Financial portfolio management through the goal programming model: Current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 234(2), pages 536-545.
    6. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.

  19. Ramesh Sharda, 1984. "Linear Programming on Microcomputers: A Survey," Interfaces, INFORMS, vol. 14(6), pages 27-38, December.

    Cited by:

    1. McCarl, Bruce A., 1986. "Innovations In Programming Techniques For Risk Analysis," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271825, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.

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