Binny Samuel

Headshot of Binny Samuel

Binny Samuel

Assistant Professor, Department of Operations, Business Analytics, and Information Systems

3324 Carl H. Lindner Hall

513-556-7139

Education
Institution: Indiana University
Location: Bloomington, IN
Major: Information Systems
Dissertation: CONCEPTUAL SCHEMA CARDINALITY UNDERSTANDING:  THE EFFECTS OF DIFFERENT TYPES OF INFORMATION ENCODING
Completed: 2012
Degree: Ph D

Institution: Indiana University
Location: Bloomington, IN
Major: Accounting
Completed: 2003
Degree: MBA

Institution: Indiana University
Location: Bloomington, IN
Major: Business - Accounting
Completed: 2002
Degree: BS

Published Contributions
Mahed Maddah, Roman Lukyanenko, Debra VanderMeer, Binny Samuel, (2019). Understanding the Effects of Gathering Data with Unstructured Interfaces. 18th Symposium on Research in Systems Analysis and Design.

Vijay Khatri, Binny Samuel, (2019). Analytics for Managerial Work. Communications of the ACM.

Roman Lukyanenko, Jeffrey Parsons, Binny Samuel,  (2019). Representing Instances: The Case for Rengineering Conceptual Modeling Grammars. European Journal of Information Systems.

Binny Samuel, Vijay Khatri, V. Ramesh, (2018). Exploring the Effects of Extensional Versus Intensional Representations on Domain Understanding. MIS Quarterly.

Vijay Khatri, Binny Samuel, Alan Dennis,  (2018). System 1 and System 2 Cognition in the Decision to Adopt and Use a New Technology. Information & Management, 709-724.

Mohammad Jabbari, Roman Lukyanenko, Jan Recker, Binny Samuel, Arturo Castellanos,  (2018). Conceptual Modeling Research: Revisiting and Updating Wand and Weber’s 2002 Research Agenda. 2018 SIGSAND Symposium, 64-74.

Binny Samuel, George Joy,  (2018). Shackled to the Status Quo: A Replication. AIS Transactions on Replication Research, 23.

Roman Lukyanenko , Binny Samuel,  (2017). Are all Classes Created Equal? Examining the Need for Semantics-Contingent Syntax in Conceptual Modeling. ACM Transactions on Management Information Systems, 15.

Merete Hvalshagen, Binny Samuel, Roman Lukyanenko,  (2017). Conceptual Data Models and Narratives:  A Tool to Help the Tool. 16th Symposium on Research in Systems Analysis and Design.

Mohammad Jabbari Sabegh, Roman Lukyanenko, Jan Recker, Binny Samuel, Arturo Castellanos,  (2017). Conceptual Modeling Research in Information Systems:  What We Now Know and What We Still Do Not Know. 16th Symposium on Research in Systems Analysis and Design.

Roman Lukyanenko, Binny Samuel, Joerg Evermann, Jeffrey Parsons,  (2016). Towards Artifact Sampling in IS Design Research. 26th Workshop on Information Technologies and Systems.

Roman Lykyanenko, Binny Samuel,  (2016). Are all classes created equal? Exploring semantics-contingent syntax in conceptual modeling. 15th Symposium on Research in Systems Analysis and Design.

Arturo Castellanos, Roman Lukyanenko, Binny Samuel, Monica Tremblay,  (2016). Basic Classes in Conceptual Modeling:  Theoretical Foundations and Practical Guidelines. 15th Symposium on Research in Systems Analysis and Design.

Roman Lukyanenko, Binny Samuel, Arturo Castellanos, Mahed Maddah,  (2016). On semantics-contingent syntax for conceptual modeling. Design Science Research in Information Systems and Technologies (DESRIST) 2016.

Binny Samuel, Ryan Ward-Williams,  (2016). Ultrabrand's Journey to a Smarter Web Analytics Product Offering. Ivey Publishing.

Nicole Haggerty, Binny Samuel, Ramasastry Chandrasekhar,  (2016). RBC Mobile Wallet. Ivey Publishing.

Binny Samuel, Linwood Watkins, III, Andrew Ehle, Vijay Khatri,  (2015). Customizing the Representation Capabilities of Process Models:  Understanding the Effects of Perceived Modeling Impediments. IEEE Transactions on Software Engineering, 19–39.

Roman Lukyanenko, Jeffrey Parsons, Binny Samuel,  (2015). Do We Need an Instance-Based Conceptual Modeling Grammar?. 14th Symposium on Research in Systems Analysis and Design, 6.

Merete Hvalshagen, Binny Samuel,  (2014). Aiding the Comprehension of Cardinality Constraints with Narratives. 13th Symposium on Research in Systems Analysis and Design.

Alan Dennis, Binny Samuel, Kelly McNamara,  (2014). Design for maintenance:  how KMS document linking decisions affect maintenance effort and use. Journal of Information Technology, 312–326.

Randy Minas, Binny Samuel, Vijay Khatri, Lingyao Yuan,  (2014). Exploring the Iterative Nature of Corrective SQL Maintenance:  An Eye Tracking Study. 24th Workshop on Information Technologies and Systems.

Binny Samuel,  (2012). Conceptual schema cardinality understanding:  The effects of different types of information encoding. INDIANA UNIVERSITY.

Binny Samuel,  (2011). Reconceptualizing Conceptual Schema Comprehension:  Understanding the Role of Instantiation and Abstraction. 10th Symposium on Research in Systems Analysis and Design.

Binny Samuel, Andrew Ehle, Linwood Watkins III, Vijay Khatri,  (2010). On Customizing Process Modeling:  An Exploratory Case Study. 9th Symposium on Research in Systems Analysis and Design.

Binny Samuel, Timothy Kinzel, Linwood Watkins III, Vijay Khatri,  (2009). Examining Impediments to UML Modeling Quality:  A Case Study. 8th Symposium on Research in Systems Analysis and Design.

Accepted Contributions
Arturo Castellanos, Roman Lukyanenko, Binny Samuel, Monica Tremblay, (Accepted). Basic Classes in Conceptual Modeling: Theory and Practical Guidelines. Journal of the Association for Information Systems.

Andrew Harrison, Binny Samuel, Zhe Shan, Tianhai Zu, Michael Cook, Diksha Dawani, (Accepted). Learning to See the Hook: Comparing Phishing Training Approaches. International Conference for Information Systems.

Roman Lukyanenko, Jeffrey Parsons, Binny Samuel,  (Accepted). Artifact Sampling in Experimental Conceptual Modeling Research. ER 2018: 37th International Conference on Conceptual Modeling.

Roman Lukyanenko, Binny Samuel, Jeffrey Parsons,  (Accepted). Why IS needs AS: Artifact Sampling as a New Method of Information Systems Research. HEC Montreal - Queen's University IS Conference 2018.

Research in Progress
Title: Collaboration in Community Source Software Development Projects: Role of Work Structure and Time
Description: Community source software development (CSSD) is a type of information systems development (ISD) approach in which a group of organizations commit resources to create enterprise-level systems that are freely distributed following open source software (OSS) distribution principles. There has been little or no research that examined how members of a CSSD project collaborate to achieve successful task completion. We collected a unique dataset from one of the largest CSSD initiatives—Kuali Foundation—to understand how members of a CSSD project collaborate using an online communication and workflow tool to accomplish their tasks. We also examined the influence of work structure characteristics, e.g., geographic dispersion, task assignment, task interdependence and goal clarity, on collaboration patterns. We found that local members, individuals who are collocated and have access to face-to-face interactions, communicated and participated more through the online collaboration tool than remote members to accomplish a task. We also found that under certain conditions (e.g., when there is high task interdependence and goal clarity) remote members increased their communication and participation efforts. Using the lens of punctuated equilibrium, we offered explanations for why CSSD project members overall participated more after the midpoint (e.g., closer to deadline) for tasks that have a clear deadline (i.e., high goal clarity). Further, we found that the interplay between different work structure characteristics led to different collaboration patterns over time. Based on our findings we developed a set of propositions that are applicable to CSSD projects and other projects that are structured similarly.