A technical framework for sense-and-respond business management

Kapoor, Shubir; Bhattacharya, Kamal; Buckley, Stephen J.; Chowdhary, Pawan; Ettl, Markus; Katırcıoğlu, Kaan; Mauch, E.; Phillips, L.

doi:10.1147/sj.441.0005

Cited by 32 publications

(16 citation statements)

References 2 publications

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“…In 1995, Stephan Haeckel defined the notion of adaptive enterprise and described a transformation model from a Makeand-Sell enterprise to a Sense-and-Respond enterprise [13]. Motivated by his work, Buckley et al [9] and Kapoor et al [16] proposed technical frameworks for implementing Sense-and-Respond business performance management. Yu et al [26] presented some research challenges and directions for adaptive enterprise architecture and highlighted the need for a systematic framework that supports modeling, analyzing, and designing adaptive enterprise.…”

Section: Related Workmentioning

confidence: 99%

Towards Actionable Business Intelligence: Can System Dynamics Help?

Nalchigar

Easterbrook

2014

Lecture Notes in Business Information Processing

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Abstract. Business intelligence (BI) and data analytics provide modern enterprises with insights about internal operations, performance, as well as environmental trends, and enable them to make data-driven decisions. Insights resulting from these systems often suggest several alternative changes or corrective actions within the enterprise. In this context, to trade-off and find the most proper action(s) is a non-trivial task due to existing dynamics and complexities of the enterprise. This paper proposes a model-based approach to support the analysis and selection of best alternative actions in adaptive enterprise contexts. The proposed approach links and synthesizes two existing modeling frameworks, the Business Intelligence Model (BIM) and System Dynamics, in a systematic step-by-step way to assist decision makers in finding best response action(s) from a given set of alternatives, and hence to make BI more actionable and understandable. The applicability of this approach in illustrated in a scenario adapted from literature.

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Section: Related Workmentioning

confidence: 99%

Towards Actionable Business Intelligence: Can System Dynamics Help?

Nalchigar

Easterbrook

2014

Lecture Notes in Business Information Processing

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“…He emphasized to design adaptive enterprise based on sense, interpret, decide, and act loops [13,11,12]. Inspired by Haeckel's works, Buckley et al [4] and Kapoor et al [18] proposed a technical framework for sense and respond business and performance management. Their framework utilizes and integrates optimization and analytics models to enable proactive management and control of business resources.…”

Section: Related Workmentioning

confidence: 99%

From Business Intelligence Insights to Actions: A Methodology for Closing the Sense-and-Respond Loop in the Adaptive Enterprise

Nalchigar¹,

Yu²

2013

Lecture Notes in Business Information Processing

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Abstract. Business Intelligence (BI) and analytics play a critical role in modern businesses by assisting them to gain insights about internal operations and the external environment and to make timely data-driven decisions. Actions resulting from these insights often require changes to various parts of the enterprise. A significant challenge in these contexts is to systematically connect and coordinate the BI-driven insights with consequent enterprise decisions and actions. This paper proposes a methodology for closing the gap between what an enterprise senses from BI-driven insights and its response actions and changes. This methodology adopts and synthesizes existing modeling frameworks, mainly i * and the Business Intelligence Model (BIM), to provide a coherent step-bystep way of connecting the sensed signals of the enterprise to subsequent responses, and hence to make BI and analytics more actionable and understandable. Applicability of the proposed methodology is illustrated in a case scenario.

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“…Haeckel (1999) proposed the concept of "adaptive enterprises" that enterprises need to continue self reengineering to adapt to changes. Kapoor et al (2005) developed a technical framework for sense-and-respond business management based on supply chain event monitoring and analysis. Gosain et al (2004) gave a conceptual sense-and-adapt framework for dynamic adjustment with organizational memory.…”

Section: Related Workmentioning

confidence: 99%

“…Second, an information flow engine based on ECA rules (McCarthy and Dayal 1989) is used to facilitate information flows exchanged between partners. Third, to build "sense-and-respond" capabilities (Kapoor et al 2005) in a supply chain, an event engine (Liu et al 2007) is included to detect, analyze, and respond to events in real time. When fed with events from an information flow engine, the event engine can process and filter primitive events, and generate alerts or notifications for only the significant ones.…”

Section: Managerial Implications and Limitationsmentioning

confidence: 99%

Leveraging information sharing to configure supply chains

Liu¹,

Kumar

2009

Inf Syst Front

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As supply chains evolve beyond the confines of individual organizations, information sharing has become the holy grail in supply chain technology. Although the value of information sharing is well recognized, there is little research on how to use it to configure supply chains. This paper proposes a parameterized model to capture information sharing in a supply chain. By changing the parameters of this model, we actually adjust the degree of information sharing and create new supply chain configurations. Configurations are the means of responding to events or changes in supply chains in a timely manner. A complete example is used to demonstrate this methodology. We also perform simulation experiments to compare configurations and to understand the effect of information sharing on supply chain performance. Thus, we show how to achieve supply chain configurability by leveraging information sharing. A supply chain architecture which allows agility, adaptability and alignment of partner interests is also proposed based on this methodology.

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A technical framework for sense-and-respond business management

Cited by 32 publications

References 2 publications

Towards Actionable Business Intelligence: Can System Dynamics Help?

Towards Actionable Business Intelligence: Can System Dynamics Help?

From Business Intelligence Insights to Actions: A Methodology for Closing the Sense-and-Respond Loop in the Adaptive Enterprise

Leveraging information sharing to configure supply chains

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