Journal Articles by Amit Deokar
In order to gain sustainable competitive advantage in today's knowledge economy, organizations ar... more In order to gain sustainable competitive advantage in today's knowledge economy, organizations are looking beyond routine transactional workflow processes to support knowledge-intensive processes. Traditional business process management systems are effective in providing coordination support, but are not geared towards providing relevant knowledge support as well. Also, knowledge management systems are used in an ad hoc manner without explicitly linking them to the underlying organizational processes.
Communications of the Association for Information Systems, 2010
Knowledge Management (KM) has emerged as a possible solution to many of the challenges facing U.S... more Knowledge Management (KM) has emerged as a possible solution to many of the challenges facing U.S. and international healthcare systems. These challenges include concerns regarding the safety and quality of patient care, critical inefficiency, disparate technologies and information standards, rapidly rising costs and clinical information overload. In this paper, we focus on clinical knowledge management systems (CKMS) research. The objectives of the paper are to evaluate the current state of knowledge management systems diffusion in the clinical setting, assess the present status and focus of CKMS research efforts, and identify research gaps and opportunities for future work across the medical informatics and information systems disciplines. The study analyzes the literature along two dimensions: (1) the knowledge management processes of creation, capture, transfer, and application, and (2) the clinical processes of diagnosis, treatment, monitoring and prognosis. The study reveals that the vast majority of CKMS research has been conducted by the medical and health informatics communities. Information systems (IS) researchers have played a limited role in past CKMS research. Overall, the results indicate that there is considerable potential for IS researchers to contribute their expertise to the improvement of clinical process through technology-based KM approaches.
Abstract Modern organizations are investing in organizational process coordination tools such as ... more Abstract Modern organizations are investing in organizational process coordination tools such as collaboration support systems and workflow management systems for better decision-making and business process execution. However, these systems are deployed in a standalone manner with the result that business processes that span these systems are highly fragmented.
Information Systems Frontiers
Enterprises in today’s networked economy face numerous information management challenges, both fr... more Enterprises in today’s networked economy face numerous information management challenges, both from a process management perspective as well as a decision support perspective. While there have been significant relevant advances in the areas of business process management as well as decision sciences, several open research issues exist. In this paper, we highlight the following key challenges. First, current process modeling and management techniques lack in providing a seamless integration of decision models and tools in existing business processes, which is critical to achieve organizational objectives. Second, given the dynamic nature of business processes in networked enterprises, process management approaches that enable organizations to react to business process changes in an agile manner are required. Third, current state-of-the-art decision model management techniques are not particularly amenable to distributed settings in networked enterprises, which limits the sharing and reuse of models in different contexts, including their utility within managing business processes. In this paper, we present a framework for decision-enabled dynamic process management that addresses these challenges. The framework builds on computational formalisms, including the structured modeling paradigm for representing decision models, and hierarchical task networks from the artificial intelligence (AI) planning area for process modeling. Within the framework, interleaved process planning (modeling), execution and monitoring for dynamic process management throughout the process lifecycle is proposed. A service-oriented architecture combined with advances from the semantic Web field for model management support within business processes is proposed.
ACM Sigmis Database, 2011
IEEE Transactions on Intelligent Transportation Systems, 2009
Book Chapters by Amit Deokar
Group decision support system (GDSS) technology is designed to directly impact and change the beh... more Group decision support system (GDSS) technology is designed to directly impact and change the behavior of groups to improve group effectiveness, efficiency, and satisfaction, and has been studied for more than two decades by researchers. However, as a tool, it is appropriate for use in situations with certain characteristics and is not useful in others. This chapter delineates and discusses some of the key parameters of this approach based on a research model. Parameters are classified based on whether they are related to the technology, group, task, or context. Their benefits for GDSS outcomes are discussed to provide insight into the group decision-making process.
Conference Proceedings by Amit Deokar
Abstract Health IT implementation involve changes to core organizational processes, and managemen... more Abstract Health IT implementation involve changes to core organizational processes, and management of these changes is critical to the success of such implementation efforts. This research describes how process change issues relate to implementation of large IT projects in healthcare settings. Specifically, we discuss the role organizational strategies in process change management.
The intensity of knowledge generated by KM processes varies based on the organizations associate ... more The intensity of knowledge generated by KM processes varies based on the organizations associate business processes. The potential volatility involved with capturing, monitoring, and utilizing these knowledge flows can directly impact the business processes, support systems and the success of the organization. BPM technologies (e.g. ERP systems) rely heavily on effective knowledge coordination among diverse actors in organizations spanning both internal and external stakeholders. Process related knowledge must be shared successfully and efficiently across boundaries in order to achieve organizational success. This mini-track urges the submission of articles that explore the relationships inherent in business processes that require the frequent application and coordination of knowledge for the successful operation of the organization. The application of knowledge may come from diverse origins that include the external market (competition), internal initiatives (new product or new marketing plan) or the process itself (material shortage or quality issue).
Abstract Collaboration and the success of collaborative efforts has been the focus of much inform... more Abstract Collaboration and the success of collaborative efforts has been the focus of much information systems research. Recent measures of collaboration success include effectiveness, efficiency, productivity, commitment, satisfaction with the process, and satisfaction with the outcome. While the possible antecedents of collaboration success are many and varied, we suggest that constructs from the e-learning literature, that evolved independently from the information systems collaboration literature, can be used to ...
Abstract In order to gain sustainable competitive advantage in today's k... more Abstract In order to gain sustainable competitive advantage in today's knowledge economy, organizations are looking beyond routine transactional workflow processes to support knowledge-intensive processes. Traditional business process management systems are effective in providing coordination support, but are not geared towards providing relevant knowledge support as well. Also, knowledge management systems are used in an ad hoc manner without explicitly linking them to the underlying organizational processes. Process ...
Abstract The Solar and Wind Energy Resource Assessment (SWERA) project is focused on providing re... more Abstract The Solar and Wind Energy Resource Assessment (SWERA) project is focused on providing renewable energy (RE) planning resources to the public. Examples include wind, solar, and hydro assessments. SWERA DSS consists of three major components. First, SWERA'Product Archive'provides for a discovery DSS upon which users can find and access renewable energy data and supporting models. Second, the'Renewable Resource EXplorer'(RREX) component serves as a web-based, GIS analysis tool for viewing RE ...
This paper adapts and extends the task-technology fit model of performance to the health care dom... more This paper adapts and extends the task-technology fit model of performance to the health care domain and the clinical reasoning task. Central to this effort was careful adaptation of the task and technology characteristics constructs to the clinical reasoning task and electronic health record technology. Overall the results indicate a good fit between model and data. The contributions of this study include successful adaptation of a corner-stone information systems theory to a new domain and technology, a validated user evaluation instrument able to assess the impact of EHR use on clinical reasoning performance, and new insight on the factors that impact task-technology fit and clinical reasoning performance.
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Journal Articles by Amit Deokar
Book Chapters by Amit Deokar
Conference Proceedings by Amit Deokar