- Advanced Database Systems and Queries
- Digital Platforms and Economics
- Semantic Web and Ontologies
- Business Process Modeling and Analysis
- Service-Oriented Architecture and Web Services
- Business Strategy and Innovation
- Model-Driven Software Engineering Techniques
- Auction Theory and Applications
- Team Dynamics and Performance
- Consumer Market Behavior and Pricing
- Data Management and Algorithms
- Technology Adoption and User Behaviour
- AI-based Problem Solving and Planning
- Public Relations and Crisis Communication
- Logic, Reasoning, and Knowledge
- Knowledge Management and Sharing
- Regional Development and Policy
- University-Industry-Government Innovation Models
- VLSI and Analog Circuit Testing
- Advanced Software Engineering Methodologies
- Data Visualization and Analytics
- Distributed and Parallel Computing Systems
- ICT Impact and Policies
- Product Development and Customization
- Cognitive Science and Mapping
Southern Methodist University
2011-2024
Cox College
2006-2015
Center for Information Technology
2009
Drexel University
2002-2008
Vanderbilt University
1993-2003
University of Maryland, College Park
1986-2003
Jawaharlal Nehru University
2000-2002
University of Guelph
1991-2002
Trends towards increased business process automation, e-commerce, and e-business have led to increasing interest in the field of workflow management. In this paper, we provide a perspective on state research management systems, discuss possible future directions area, with particular emphasis systems integrating interorganizational processes enabling e-commerce solutions.
Agile manufacturing, fast-response micromarketing, and the rise of virtual organization have led managers to focus on cross-functional business processes that link various divisions organizations. These may be realized as one or more workflows, each which is an instantiation a process under certain conditions. Because ability adapt workflow conditions essential for organizational responsiveness, identifying analyzing significant workflows important activity managers, designers, information...
Abstract: The financial domain presents a complex environment for stock market prediction, characterized by volatile patterns and the influence of multifaceted data sources. Traditional models have leveraged either Convolutional Neural Networks (CNN) spatial feature extraction or Long Short-Term Memory (LSTM) networks capturing temporal dependencies, with limited integration external textual data. This paper proposes novel Two-Level Conv-LSTM Network integrated Large Language Model (LLM)...
Organizations today face increasing pressures to integrate their processes across disparate divisions and functional units, in order remove inefficiencies as well enhance manageability. Process integration involves two major types of changes process structure: (1) synthesizing from separate but interdependent subprocesses, (2) decomposing aggregate into distinct subprocesses that are more manageable. We present an approach facilitate this type synthesis decomposition through formal analysis...
A key barrier to companies successfully engaging customers in the design of new products is fearing that they will be forced pay much more for custom help design. This fear justified by fact once customer has invested significant time and effort co-designing a product, firm can extract entire consumer surplus through higher prices. At same time, allowing its co-design would unlikely commit price up front before knowing complete since it then face risk losing money. In this paper, we develop...
Most decision support systems (DSS) contain stored data, data analysis procedures, and models. However, many DSS have grown to the point that average end user is presented with a bewildering array of information resources are difficult manage in an effective manner. As result users often gravitate few familiar models unaware available them how these relate various For example, they may think model requires unavailable, when fact has recently been added base or could be calculated from...
article Share on Authentication in e-commerce Authors: Amit Basu Southern Methodist University, Dallas, Texas TexasView Profile , Steve Muylle Ghent Belgium BelgiumView Authors Info & Claims Communications of the ACMVolume 46Issue 12December 2003pp 159–166https://doi.org/10.1145/953460.953496Published:01 December 2003Publication History 50citation5,627DownloadsMetricsTotal Citations50Total Downloads5,627Last 12 Months71Last 6 weeks15 Get Citation AlertsNew Alert added!This alert has been...
The availability of a large and diverse collection stored modules such as data relations decision models is desirable feature in support system (DSS). However, it usually infeasible to design DSS which every problem instance can be solved using single module. Instead, may necessary combine several into an integrated model that sufficient solve the given problem. We show files usefully represented by metagraph, graph-theoretic construct captures relationships between pairs sets elements. In...
Firms seeking business partners and individuals life face several challenges in addition to finding available candidates. One of these is uncertainty about a candidate’s compatibility with the match-seeker on various subjective criteria. Another challenge authentication objective quality features, particularly online settings where credentials can be easily misrepresented. Online matching platforms address through counseling services that help assess mutual match-seekers validate...
Firms that set up electronic marketplaces to enhance their supply and/or distribution channels face challenges in attracting competitors participate. A major obstacle is the perception owner can unfairly exploit trading information for competitive advantage. In this paper, we propose a marketplace design shifts locus of control over trader privacy from operator each individual trader. We show how online transactions between partners be conducted total privacy, so not even owner/operator...
Decision models are often based on certain assumptions as to their validity. Relevant may include value-based assumptions, such limitations the range or values of some input variables exogenous factors, well about model structure (e.g., linearity). In a base consisting many models, there be several (or collections models) that can used solve particular problem. We wish know what applicable are, associated with these and whether given set is necessary and/or sufficient for solving describe an...
When using a decision support system (DSS) containing large model base, user has to decide which specific models are relevant for any particular task. the base is and diverse, this task can be quite difficult. Furthermore, number variety of available confusing. One way simplify user's interaction with DSS, facilitate more effective use system, through “views” base. A view an abstraction that limits attention relationships between certain variables, its purpose guide development DSS software...