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Work with thought leaders and academic experts in management information systems

Companies can benefit from working with someone whose expertise is in the field of Management Information Systems in several ways. Firstly, an academic researcher can provide valuable insights and knowledge about the latest trends and advancements in MIS. They can help companies optimize their information systems, streamline processes, and improve decision-making. Additionally, collaborating with an MIS expert can lead to innovative solutions and strategies for leveraging technology to gain a competitive advantage. Academic researchers can also assist in data analysis and interpretation, helping companies make data-driven decisions. Lastly, working with an MIS expert can enhance the company's reputation and credibility, as they bring academic rigor and expertise to the table.

Researchers on NotedSource with backgrounds in management information systems include Jim Samuel, Edoardo Airoldi, Dr Abiodun Alao, Dan Baack, Catherine Tucker, Suhang Wang, and Anindya Ghose.

Jim Samuel

Associate Professor at Rutgers University
Most Relevant Research Interests
Management Information Systems
Other Research Interests (21)
Analytics
Artificial Intelligence
Informatics
Machine Learning
NLP NLU NLG Behavioral Finance
And 16 more
About
Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 
Most Relevant Publications (1+)

44 total publications

Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation

Decision Support Systems / May 01, 2021

Garvey, M. D., Samuel, J., & Pelaez, A. (2021). Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation. Decision Support Systems, 144, 113497. https://doi.org/10.1016/j.dss.2021.113497

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Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Management Information Systems
Other Research Interests (43)
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 38 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.
Most Relevant Publications (4+)

106 total publications

Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook

Information Systems Research / Dec 01, 2016

Cavusoglu, H., Phan, T. Q., Cavusoglu, H., & Airoldi, E. M. (2016). Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook. Information Systems Research, 27(4), 848–879. https://doi.org/10.1287/isre.2016.0672

A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks

Information Systems Research / Mar 01, 2019

Bhattacharya, P., Phan, T. Q., Bai, X., & Airoldi, E. M. (2019). A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks. Information Systems Research, 30(1), 117–132. https://doi.org/10.1287/isre.2018.0790

Network sampling and classification: An investigation of network model representations

Decision Support Systems / Jun 01, 2011

Airoldi, E. M., Bai, X., & Carley, K. M. (2011). Network sampling and classification: An investigation of network model representations. Decision Support Systems, 51(3), 506–518. https://doi.org/10.1016/j.dss.2011.02.014

An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains

Decision Support Systems / Apr 01, 2011

Airoldi, E. M., Bai, X., & Malin, B. A. (2011). An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains. Decision Support Systems, 51(1), 10–20. https://doi.org/10.1016/j.dss.2010.11.014

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Dr Abiodun Alao

Research Associate in Information Systems with Publications in ICT4D, Sustainable ICT, Management Information Systems, Social Policy
Most Relevant Research Interests
Management Information Systems
Other Research Interests (12)
Social Policy
ICT4D
Sustainable ICT
Innovation Management
Computer Science Applications
And 7 more
About
Dr. Abiodun (Abbey) Alao holds a Ph.D. in Information Systems from the University of Cape Town and is a dedicated researcher and teaching fellow with a strong academic background. Her passion for research is evident, and she currently serves as a research associate at the University of Johannesburg. Throughout her career, Abiodun has actively mentored and supervised projects spanning diverse fields such as Management Information Systems, Information and Communication Technology for Development, Sustainable ICT, Development Communication, Innovative Management, Health Informatics, Information Learning, and Work Integrated Learning (WIL). She has made significant contributions to academia through her publications, which include journals, chapters, and conference papers. Her approach is characterized by a multidisciplinary investigative perspective, with a focus on Information Communication Technology (ICT) as a catalyst for information and knowledge management. Her work addresses various social implications of ICT, and organization development with a particular emphasis on their impact on the well-being of individuals and society as a whole.

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Dan Baack

Denver, Colorado, United States of America
Professor at the University of Denver
Most Relevant Research Interests
Management Information Systems
Other Research Interests (21)
Information processing
culture
and international marketing
Marketing
Communication
And 16 more
About
Dan Baack is an expert in advertising, brand management and international marketing. His academic research focuses on how differences in how consumers process information affect promotional activities. This includes investigations of creativity and advertising effectiveness, of advertising’s impact on brand image and of culture’s influence on marketing activity.
Most Relevant Publications (1+)

40 total publications

Finding disseminators via electronic word of mouth message for effective marketing communications

Decision Support Systems / Nov 01, 2014

Bao, T., & Chang, T. S. (2014). Finding disseminators via electronic word of mouth message for effective marketing communications. Decision Support Systems, 67, 21–29. https://doi.org/10.1016/j.dss.2014.07.006

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Catherine Tucker

Advertising & Economics Professor at MIT
Most Relevant Research Interests
Management Information Systems
Other Research Interests (23)
Marketing
Economics
Regulation
IT
Information Systems
And 18 more
About
Catherine Tucker is a Professor of Economics and Data Science at the Massachusetts Institute of Technology. She is also a member of the MIT Sloan School of Management's faculty. She is a world-renowned expert in the fields of big data, machine learning, and consumer behavior. She has worked extensively on the use of data science to improve public policy and has been a consultant to government agencies and businesses around the world. In addition to her academic work, she is a popular speaker and has been featured in many media outlets, including The Economist, The New York Times, The Wall Street Journal, and Wired.
Most Relevant Publications (1+)

94 total publications

Active Social Media Management: The Case of Health Care

Information Systems Research / Mar 01, 2013

Miller, A. R., & Tucker, C. (2013). Active Social Media Management: The Case of Health Care. Information Systems Research, 24(1), 52–70. https://doi.org/10.1287/isre.1120.0466

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Suhang Wang

Professor at Pennsylvania State University
Most Relevant Research Interests
Management Information Systems
Other Research Interests (20)
Machine learning
Graph Mining
Theoretical Computer Science
Information Systems and Management
Computer Science Applications
And 15 more
About
Dr. Suhang Wang is an Assistant Professor of Computer Science and Engineering at Pennsylvania State University. He received his PhD in Computer Science from Arizona State University in 2018, and his Master's degree in Electrical Engineering: Systems from the University of Michigan in 2013. Before joining Penn State, Dr. Wang was a postdoctoral researcher at the University of California, Santa Barbara. His research interests include natural language processing, artificial intelligence, and machine learning. He was recognized for his work at the International Conference on Knowledge Discovery and Data Mining in 2017 and the Fifth ACM International Conference on Web Search and Data Mining in 2016.
Most Relevant Publications (1+)

92 total publications

Learning binary codes with neural collaborative filtering for efficient recommendation systems

Knowledge-Based Systems / May 01, 2019

Li, Y., Wang, S., Pan, Q., Peng, H., Yang, T., & Cambria, E. (2019). Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowledge-Based Systems, 172, 64–75. https://doi.org/10.1016/j.knosys.2019.02.012

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Anindya Ghose

Heinz Riehl Chair Professor of Business, NYU Stern
Most Relevant Research Interests
Management Information Systems
Other Research Interests (21)
Data Science
Mobile
Data Privacy
Digital Marketing
Digital Platforms
And 16 more
About
Dr. Anindya Ghose is the Heinz Riehl Chair Professor of Business at New York University Stern School of Business. His research interests are in the areas of IT-enabled platforms, services and products, including mobile apps, social media, digital marketplaces, and big data analytics. He has also done work on understanding consumer behavior in digital environments. He has published over 130 papers in academic journals and has been honored with several best paper awards. He has also served on the editorial boards of several journals, including Management Science, Information Systems Research, and MIS Quarterly. He is a Fellow of the Institute for Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).
Most Relevant Publications (23+)

86 total publications

Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets

Information Systems Research / Sep 01, 2008

Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets. Information Systems Research, 19(3), 291–313. https://doi.org/10.1287/isre.1080.0193

An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets

Information Systems Research / Sep 01, 2013

Burtch, G., Ghose, A., & Wattal, S. (2013). An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets. Information Systems Research, 24(3), 499–519. https://doi.org/10.1287/isre.1120.0468

How Is the Mobile Internet Different? Search Costs and Local Activities

Information Systems Research / Sep 01, 2013

Ghose, A., Goldfarb, A., & Han, S. P. (2013). How Is the Mobile Internet Different? Search Costs and Local Activities. Information Systems Research, 24(3), 613–631. https://doi.org/10.1287/isre.1120.0453

Cultural Differences and Geography as Determinants of Online Prosocial Lending

MIS Quarterly / Jan 01, 2014

Burtch, G., Ghose, A., & Wattal, S. (2014). Cultural Differences and Geography as Determinants of Online Prosocial Lending. MIS Quarterly, 38(3), 773–794. https://doi.org/10.25300/misq/2014/38.3.07

The Economic Incentives for Sharing Security Information

Information Systems Research / Jun 01, 2005

Gal-Or, E., & Ghose, A. (2005). The Economic Incentives for Sharing Security Information. Information Systems Research, 16(2), 186–208. https://doi.org/10.1287/isre.1050.0053

Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact

Information Systems Research / Mar 01, 2006

Ghose, A., Smith, M. D., & Telang, R. (2006). Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact. Information Systems Research, 17(1), 3–19. https://doi.org/10.1287/isre.1050.0072

Internet Exchanges for Used Goods: An Empirical Analysis of Trade Patterns and Adverse Selection

MIS Quarterly / Jan 01, 2009

Ghose. (2009). Internet Exchanges for Used Goods: An Empirical Analysis of Trade Patterns and Adverse Selection. MIS Quarterly, 33(2), 263. https://doi.org/10.2307/20650292

Internet's Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission

MIS Quarterly / Apr 04, 2014

Chan, J., & Ghose, A. (2014). Internet’s Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission. MIS Quarterly, 38(4), 955–976. https://doi.org/10.25300/misq/2014/38.4.01

Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding

Information Systems Research / Sep 01, 2016

Burtch, G., Ghose, A., & Wattal, S. (2016). Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding. Information Systems Research, 27(3), 478–496. https://doi.org/10.1287/isre.2016.0642

Toward a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior

MIS Quarterly / Apr 04, 2016

Ghose, A., & Todri-Adamopoulos, V. (2016). Toward a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior. MIS Quarterly, 40(4), 889–910. https://doi.org/10.25300/misq/2016/40.4.05

The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms

Information Systems Research / Sep 01, 2018

Adamopoulos, P., Ghose, A., & Todri, V. (2018). The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms. Information Systems Research, 29(3), 612–640. https://doi.org/10.1287/isre.2017.0768

The Internet and Racial Hate Crimes: Offline Spillovers from Online Access

MIS Quarterly / Feb 02, 2016

Chan, J., Ghose, A., & Seamans, R. (2016). The Internet and Racial Hate Crimes: Offline Spillovers from Online Access. MIS Quarterly, 40(2), 381–403. https://doi.org/10.25300/misq/2016/40.2.05

Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets

Information Systems Research / Jun 01, 2011

Ghose, A., & Yao, Y. (2011). Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets. Information Systems Research, 22(2), 269–288. https://doi.org/10.1287/isre.1090.0252

Effect of Electronic Secondary Markets on the Supply Chain

Journal of Management Information Systems / Nov 01, 2005

GHOSE, A., TELANG, R., & KRISHNAN, R. (2005). Effect of Electronic Secondary Markets on the Supply Chain. Journal of Management Information Systems, 22(2), 91–120. https://doi.org/10.1080/07421222.2005.11045853

The Impact of Internet Referral Services on a Supply Chain

Information Systems Research / Sep 01, 2007

Ghose, A., Mukhopadhyay, T., & Rajan, U. (2007). The Impact of Internet Referral Services on a Supply Chain. Information Systems Research, 18(3), 300–319. https://doi.org/10.1287/isre.1070.0130

Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel

Information Systems Research / Mar 01, 2020

Todri, V., Ghose, A., & Singh, P. V. (2020). Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel. Information Systems Research, 31(1), 102–125. https://doi.org/10.1287/isre.2019.0877

The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends

Information Systems Research / Mar 01, 2019

Chan, J., Mojumder, P., & Ghose, A. (2019). The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends. Information Systems Research, 30(1), 219–238. https://doi.org/10.1287/isre.2018.0799

Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps

Information Systems Research / Mar 01, 2019

Ghose, A., Kwon, H. E., Lee, D., & Oh, W. (2019). Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps. Information Systems Research, 30(1), 154–174. https://doi.org/10.1287/isre.2018.0792

Empowering Patients Using Smart Mobile Health Platforms: Evidence of a Randomized Field Experiment

MIS Quarterly / Feb 15, 2022

Ghose, A., Guo, X., Li, B., & Dang, Y. (2022). Empowering Patients Using Smart Mobile Health Platforms: Evidence of a Randomized Field Experiment. MIS Quarterly, 46(1), 151–192. https://doi.org/10.25300/misq/2022/16201

A Structural Analysis of the Role of Superstars in Crowdsourcing Contests

Information Systems Research / Mar 01, 2019

Zhang, S., Singh, P. V., & Ghose, A. (2019). A Structural Analysis of the Role of Superstars in Crowdsourcing Contests. Information Systems Research, 30(1), 15–33. https://doi.org/10.1287/isre.2017.0767

Research Commentary—Sponsored Search and Market Efficiency

Information Systems Research / Dec 01, 2010

Dhar, V., & Ghose, A. (2010). Research Commentary—Sponsored Search and Market Efficiency. Information Systems Research, 21(4), 760–772. https://doi.org/10.1287/isre.1100.0315

Effectiveness of Location-Based Advertising and the Impact of Interface Design

Journal of Management Information Systems / Apr 02, 2020

Molitor, D., Spann, M., Ghose, A., & Reichhart, P. (2020). Effectiveness of Location-Based Advertising and the Impact of Interface Design. Journal of Management Information Systems, 37(2), 431–456. https://doi.org/10.1080/07421222.2020.1759922

Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process

Information Systems Research / Mar 01, 2021

Adamopoulos, P., Todri, V., & Ghose, A. (2021). Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process. Information Systems Research, 32(1), 238–267. https://doi.org/10.1287/isre.2020.0962

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Example management information systems projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on management information systems?

Implementing a Data Analytics System

An academic researcher in MIS can help a company implement a data analytics system to analyze large volumes of data and extract valuable insights. This can improve decision-making, identify trends, and optimize business processes.

Developing a Cybersecurity Strategy

Collaborating with an MIS expert can help a company develop a robust cybersecurity strategy to protect sensitive data and systems from cyber threats. This can minimize the risk of data breaches and ensure compliance with regulations.

Optimizing Supply Chain Management

An academic researcher in MIS can assist a company in optimizing their supply chain management by leveraging technology and data analysis. This can lead to improved efficiency, reduced costs, and better customer satisfaction.

Implementing an Enterprise Resource Planning (ERP) System

Working with an MIS expert, a company can successfully implement an ERP system to integrate various business functions and improve overall operational efficiency. This can streamline processes, enhance collaboration, and provide real-time insights.

Designing a Business Intelligence Dashboard

Collaborating with an MIS researcher can help a company design and develop a business intelligence dashboard to visualize and analyze key performance indicators. This can facilitate data-driven decision-making and improve strategic planning.