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2020 – today
- 2023
[j24]Nada Hashmi, G. Shankaranarayanan, Thomas W. Malone:
Is bigger better? A study of the effect of group size on collective intelligence in online groups. Decis. Support Syst. 167: 113914 (2023)- 2021
- [j23]G. Shankaranarayanan, Donna Stoddard, Ruth Gilleran, Lauren Skinner Beitelspacher, Sandra Bravo:
Experiential Learning of Information Systems in Functional Contexts: The Digital Brand Strategy Project. Commun. Assoc. Inf. Syst. 49: 1 (2021) - [j22]Rubén Mancha, G. Shankaranarayanan:
Making a digital innovator: antecedents of innovativeness with digital technologies. Inf. Technol. People 34(1): 318-335 (2021) - [j21]G. Shankaranarayanan, Bin Zhu:
Enhancing decision-making with data quality metadata. J. Syst. Inf. Technol. 23(2): 199-217 (2021)
2010 – 2019
- 2019
- [c29]Kaija Petrone, Richard Hanna, G. Shankaranarayanan:
A Comparative Examination of AR and Video in Delivering Assembly Instructions. IMCL 2019: 445-456 - 2017
- [j20]G. Shankaranarayanan, Roger Blake:
From Content to Context: The Evolution and Growth of Data Quality Research. ACM J. Data Inf. Qual. 8(2): 9:1-9:28 (2017) - [c28]Ruben Mancha, G. Shankaranarayanan:
Educating an Innovative Workforce for the Digital Economy. AMCIS 2017 - 2016
- [c27]Ganesan Shankaranarayanan, Bin Zhu:
SPIDEQ - A Prototype for Decision Making with Data Quality Metadata. ICIQ 2016 - 2015
- [c26]Roger Blake, Ganesan Shankaranarayanan:
Data and Information Quality: Research Themes and Evolving Patterns. AMCIS 2015 - 2014
- [c25]G. Shankaranarayanan, Bin Zhu:
Ensuring Positive Impact of DQ Metadata: Implications for Decision Support. AMCIS 2014 - 2013
- [j19]Nitin R. Joglekar, Edward G. Anderson Jr., G. Shankaranarayanan:
Accuracy of aggregate data in distributed project settings: Model, analysis and implications. ACM J. Data Inf. Qual. 4(3): 13:1-13:22 (2013) - 2012
- [j18]Roger Blake, Ganesan Shankaranarayanan:
Discovering Data and Information Quality Research Insights Gained through Latent Semantic Analysis. Int. J. Bus. Intell. Res. 3(1): 1-16 (2012) - [c24]G. Shankaranarayanan, Bin Zhu:
Data Quality Metadata and Decision Making. HICSS 2012: 1434-1443 - [c23]Ganesan Shankaranarayanan, Bala Iyer, Donna Stoddard:
Quality of Social Media Data and Implications of Social Media for Data Quality. ICIQ 2012: 311-325 - 2010
- [j17]Adir Even, Ganesan Shankaranarayanan, Paul D. Berger:
Evaluating a model for cost-effective data quality management in a real-world CRM setting. Decis. Support Syst. 50(1): 152-163 (2010) - [c22]Roger Blake, G. Shankaranarayanan:
Framing data quality research: A semantic analysis approach. ICIQ 2010 - [c21]G. Shankaranarayanan, Nitin R. Joglekar, Edward G. Anderson Jr.:
Managing accuracy of project data in a distributed project setting. ICIQ 2010
2000 – 2009
- 2009
- [j16]Stephanie Watts, Ganesan Shankaranarayanan, Adir Even:
Data quality assessment in context: A cognitive perspective. Decis. Support Syst. 48(1): 202-211 (2009) - [j15]Adir Even, G. Shankaranarayanan:
Utility Cost Perspectives in Data Quality Management. J. Comput. Inf. Syst. 50(2): 127-135 (2009) - [j14]Adir Even, Ganesan Shankaranarayanan:
Dual Assessment of Data Quality in Customer Databases. ACM J. Data Inf. Qual. 1(3): 15:1-15:29 (2009) - [c20]Adir Even, Ganesan Shankaranarayanan, Paul D. Berger:
Tradeoffs in Managing the Quality of Marketing Data. AMCIS 2009: 279 - [c19]G. Shankaranarayanan, Bin Zhu, Yu Cai:
Visualizing Data Quality Metadata for Decision Support: A Prototype and Evaluation. AMCIS 2009: 367 - 2008
- [j13]Mark Gaynor, Ganesan Shankaranarayanan:
Implications of sensors and sensor-networks for data quality management. Int. J. Inf. Qual. 2(1): 75-93 (2008) - [c18]Adir Even, Ganesan Shankaranarayanan:
Comparative Analysis of Data Quality and Utility Inequality Assessments. ECIS 2008: 1835-1846 - [c17]G. Shankaranarayanan, Bin Zhu, Yu Cai:
Decision Support with Data Quality Metadata. ICIQ 2008: 281-295 - 2007
- [j12]Adir Even, Ganesan Shankaranarayanan:
Utility-driven assessment of data quality. Data Base 38(2): 75-93 (2007) - [j11]Mark Gaynor, Dan Myung, Nada Hashmi, Ganesan Shankaranarayanan, Steve Moulton:
An intelligent pre-hospital patient care system. Int. J. Electron. Heal. 3(1): 107-122 (2007) - [j10]Adir Even, Ganesan Shankaranarayanan:
Utility-driven configuration of data quality in data repositories. Int. J. Inf. Qual. 1(1): 22-40 (2007) - [j9]Yu Cai, G. Shankaranarayanan:
Managing data quality in inter-organisational data networks. Int. J. Inf. Qual. 1(3): 254-271 (2007) - [j8]Adir Even, Ganesan Shankaranarayanan, Paul D. Berger:
Economics-Driven Data Management: An Application to the Design of Tabular Data Sets. IEEE Trans. Knowl. Data Eng. 19(6): 818-831 (2007) - [c16]Adir Even, Ganesan Shankaranarayanan:
Understanding Impartial Versus Utility-Driven Quality Assessment In Large Datasets. ICIQ 2007: 265-279 - [c15]G. Shankaranarayanan, Richard Wang:
IPMAP Research Status and Direction. ICIQ 2007: 500-517 - 2006
- [j7]Ganesan Shankaranarayanan, Adir Even:
The metadata enigma. Commun. ACM 49(2): 88-94 (2006) - [j6]G. Shankaranarayanan, Yu Cai:
Supporting data quality management in decision-making. Decis. Support Syst. 42(1): 302-317 (2006) - [j5]Bala Iyer, G. Shankaranarayanan, George M. Wyner:
Process Coordination Requirements: Implications for the Design of Knowledge Management Systems. J. Comput. Inf. Syst. 46(5): 1-13 (2006) - [c14]Nada Hashmi, Dan Corwin, Dan Myung, Mark Gaynor, Valmeek Kudesia, William Tollefsen, Ganesan Shankaranarayanan, Steve Moulton:
Embedding Rules in a Pre-Hospital Mobile Database. AICCSA 2006: 1175-1179 - [c13]Adir Even, Ganesan Shankaranarayanan:
Maximizing the Economic-Performance of Data-Repositories: Configuring the Optimal Time-Span. AMCIS 2006: 37 - [c12]Adir Even, Ganesan Shankaranarayanan:
Maximizing the Economic-Performance of Data-Repositories: Configuring the Optimal Time-Span. AMCIS 2006: 179 - [c11]Adir Even, Ganesan Shankaranarayanan, Stephanie Watts:
Enhancing Decision Making with Process Metadata: Theoretical Framework, Research Tool, and Exploratory Examination. HICSS 2006 - [c10]Adir Even, Ganesan Shankaranarayanan:
Data-Warehouse as a Dynamic Capability: Utility/Cost Foundations and Implications for Economically-Driven Design. ICIS 2006: 17 - [c9]Adir Even, Ganesan Shankaranarayanan:
"Not All Data Are Created Equal": Inequality in Utility and Implications for Data Management. ICIQ 2006: 384-398 - 2005
- [j4]Bala Iyer, Ganesan Shankaranarayanan, Melanie L. Lenard:
Model management decision environment: a Web service prototype for spreadsheet models. Decis. Support Syst. 40(2): 283-304 (2005) - [j3]Bala Iyer, Ganesan Shankaranarayanan, Melanie L. Lenard:
Corrigendum to "Model management decision environment: A Web service prototype for spreadsheet models" [Decision Support Systems 40 (2005) 283-304]. Decis. Support Syst. 41(1): 324 (2005) - [c8]G. Shankaranarayanan, Yu Cai:
A Web Services Application for the Data Quality Management in the B2B Networked Environment. HICSS 2005 - [c7]Adir Even, Ganesan Shankaranarayanan, Paul D. Berger:
Profit Maximization with Data Management Systems. ICIS 2005 - [c6]Adir Even, Ganesan Shankaranarayanan:
Value-Driven Data Quality Assessment. ICIQ 2005 - 2004
- [j2]Ganesan Shankaranarayanan, Adir Even:
Managing Metadata in Data Warehouses: Pitfalls and Possibilities. Commun. Assoc. Inf. Syst. 14: 13 (2004) - [c5]Ganesan Shankaranarayanan, Mark Gaynor:
Sensor Data and Managing Data Quality in Sensory Network Applications. AMCIS 2004: 208 - [c4]Yu Cai, Ganesan Shankaranarayanan:
A Data Quality Assurance Model in the B2B Networked Environment. AMCIS 2004: 499 - 2000
- [c3]Ganesan Shankaranarayanan, Richard Y. Wang, Mostapha Ziad:
IP-MAP: Representing the Manufacture of an Information Product. IQ 2000: 1-16 - [c2]Amy LaMeyer, Ganesan Shankaranarayanan, Jesper M. Johansson:
On Designing a Database for Integrated User Management: Pitfalls and Possibilities. LISA-NT 2000
1990 – 1999
- 1999
- [c1]Sudha Ram, G. Shankaranarayanan:
Modeling and Navigation of Large Information Spaces: A Semantics based Approach. HICSS 1999 - 1998
- [j1]Hsinchun Chen, Ganesan Shankaranarayanan, Linlin She, Anand Iyer:
A Machine Learning Approach to Inductive Query by Examples: An Experiment Using Relevance Feedback, ID3, Genetic Algorithms, and Simulated Annealing. J. Am. Soc. Inf. Sci. 49(8): 693-705 (1998)
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