Academic literature on the topic 'Enterprise Systems'

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Journal articles on the topic "Enterprise Systems"

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Li, Xiuting, Laisheng Xiang, and Xiyu Liu. "Enterprise Development with P Systems." International Journal of Energy and Environment 15 (November 26, 2021): 90–95. http://dx.doi.org/10.46300/91012.2021.15.15.

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Enterprises are both an emerging force in national reform and a major force in its future economic development. The professors in China and on abroad have do much research on enterprise development and put forward lots of valuable theories. P systems have been proposed for about 14 years, and its applications refer to numbers of areas. However, to investigate the survival and development of firms in the aspect of P systems is rarely. In this study, it makes analysis on the survival and development of small and medium-sized enterprises in an aspect of bionics, trying to find out the origin which makes the enterprise exuberant and everlasting. Have the enterprises compare to biological cells and construct a membrane framework in order to interpret an enterprise’s survival. At the same time it also highlights the irreplaceable role of enterprise DNA in the inheritance of the enterprise entity.
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Hildebrand, Knut, and Christian Leyh. "Enterprise Systems." HMD Praxis der Wirtschaftsinformatik 55, no. 1 (January 24, 2018): 1–2. http://dx.doi.org/10.1365/s40702-017-0390-6.

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Ball, Marion J. "Enterprise systems." International Journal of Bio-Medical Computing 39, no. 1 (April 1995): 113–18. http://dx.doi.org/10.1016/0020-7101(94)01088-i.

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Lu, Wei, and Deng Yi Zhang. "A New Approach for Enterprise Application Integration." Advanced Materials Research 204-210 (February 2011): 1031–35. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1031.

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In the last few years, there is a significant growth in enterprise computing. In a typical large enterprise, more than thousands major application systems are logically interconnected to support enterprise’s business process. With the Internet technology grows explosively, most enterprise organizations adopt e-business strategy. Enterprises sometimes have to merge with other enterprise, reorganize their internal structure, and adopt new technologies and platform as they strive for competitive advantages. Enterprise application integration(EAI) provides enterprise with the option to leverage their existing systems and integrate them with new application to enhance functionality. Connector, which is a software component, is an essential layer in the EAI architecture. It provides connectivity between application and integration server.
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Belak, Jernej. "Management and governance: organizational culture in relation to enterprise life cycle." Kybernetes 45, no. 4 (April 4, 2016): 680–98. http://dx.doi.org/10.1108/k-04-2014-0082.

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Purpose – The behaviour of an enterprise (including ethical behaviour) strongly depends on the organization’s culture, values and beliefs. The purpose of this paper is to demonstrate that organizational culture differs according to enterprise life cycle stage. Also the importance of the knowledge and awareness of these differences to enterprises’ management in order to be able to ensure enterprises’ success is argued. Design/methodology/approach – The case study research methodology was applied to explore the differences in the type of organizational culture as well as cultural strength depending on the enterprise’s life cycle stage. For the empirical testing, the author have selected Slovenia, one of the most developed European post-socialist transition countries. Findings – The research revealed differences in the types and strengths of enterprises’ organizational cultures and showed their dependence on the enterprises’ life cycle stages. Practical implications – Knowledge of differences in organizational culture in relation to an enterprise’s life cycle stage can significantly contribute to the behaviour of the enterprise’s key stakeholders by ensuring the long-term and sustainable success of the enterprise. Originality/value – The available literature does not provide similar research of differences in organizational culture in relation to an enterprise’s life cycle stages.
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Waring, Teresa, David Wainwright, and Dimitra Skoumpopoulou. "Enterprise Systems Adoption." International Journal of Systems and Society 3, no. 1 (January 2016): 49–66. http://dx.doi.org/10.4018/ijss.2016010104.

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Enterprise wide integrated systems (ES) have been extensively procured in large organizations but much research fails to develop sociotechnically informed approaches that facilitate their implementation within complex organizational environments. In this paper the authors take a critically informed sociotechnical approach to power and improvisation in ES implementation. A review and synthesis of the pertinent literature, has led to the development of an analytical framework. This framework has been used to explore these concepts through a longitudinal, ethnographic study of an ES within a UK university. The contribution of this paper is a combined ‘circuits of power-improvisation' (CPI) framework which can facilitate a better understanding of ES implementation, sociotechnical theory and practice. Lessons learnt from the study may potentially be used to avoid some of the problems experienced due to the lack of recognition of the important role of power and improvisation in what may be misrepresented as planned strategic and deliberate organizational change.
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Mahato, Sanjay, Anoop Jain, and V. Balasubramanian. "Enterprise Systems Consolidation." Information Systems Management 23, no. 4 (September 2006): 7–19. http://dx.doi.org/10.1201/1078.10580530/46352.23.4.20060901/95108.2.

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Leu, Jun-Der, Yu-Tsung Huang, and Li-Ting Huang. "Effectiveness of Inter-Organizational Systems in Global Manufacturing." International Journal of Strategic Decision Sciences 2, no. 1 (January 2011): 28–43. http://dx.doi.org/10.4018/jsds.2011010102.

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Enterprise Information Systems, such as Enterprise Resource Planning (ERP) systems, have been applied to integrate business processes within a global manufacturing enterprise. Recently, the inter-organizational systems are applied to assist in business data sharing and collaboration among enterprises based on the ERP application. However, their resource requirements and failure rates are high, and many enterprises are concerned about the Business-to-Business (B2B) effectiveness. In this research, the authors study global manufacturing enterprises, which developed their B2B systems with Taiwanese government sponsorship successfully. B2B effectiveness is evaluated through operational efficiency and profitability, while the business scale, Electronic Data Interchange (EDI) induced supplier numbers, and application scope are considered influencing factors. After the evidence of multiple regression models and non-parametric statistic testing, the results show that only the application scope has a significant impact on profitability. The authors discuss these results from the perspective of enterprise integration as well as the system application scope and give suggestions to global manufacturing enterprises that want to apply inter-organizational systems.
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Mathrani, Sanjay, and Anuradha Mathrani. "Utilizing enterprise systems for managing enterprise risks." Computers in Industry 64, no. 4 (May 2013): 476–83. http://dx.doi.org/10.1016/j.compind.2013.02.002.

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Grynko, Tetiana, and Olha Yehorova. "Problems of the strategic planning systems implementation at industrial enterprises." European Journal of Management Issues 28, no. 4 (December 25, 2020): 135–42. http://dx.doi.org/10.15421/192013.

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Purpose – to investigate the problems of implementing a strategic planning system in industrial enterprises. Design/Method/Research approach. A theoretical approach based on the generalization of available research, analysis, and comparison to identify obstacles to the strategic planning implementation in industrial enterprises Findings. It is substantiated that the strategy development and strategic planning system implementation are necessary conditions for a modern industrial enterprise's functioning due to the dynamism and instability of the economic environment. One of the most important factors influencing the economic entity's efficiency is the awareness of the need to implement a strategic planning system because it allows the company to achieve dynamic development and strengthen its market position. It is argued that among the problems that affect the strategic planning implementation in industrial enterprises, external factors of influence, internal factors of the organization, and factors related to the enterprise owner's motives. Theoretical implications. The research's theoretical significance is to change the research focus in strategic planning from external factors to the enterprise owner's motives research. Practical implications. Owners and top managers can use the research to prevent problems with the enterprise's strategic planning implementation. Originality/Value. The paper's originality is because, for the first time, the relationship between the dynamics and problems of strategic planning system implementation in industrial enterprises is considered by the personal motives of the enterprises' owners. Research limitations/Future research. Further research forecasts further analyze the relationship between external and internal factors influencing strategic planning system implementation problems in industrial enterprises. Paper type – theoretical.
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Dissertations / Theses on the topic "Enterprise Systems"

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Garling, James, and David Cahill. "ENTERPRISE DATA MANAGEMENT SYSTEMS." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/605813.

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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada
This paper discusses ongoing regulatory effects on efforts aimed at developing data infrastructures that assist test engineers in achieving information superiority and for maintaining their information, and on possible architectural frameworks for resolving the engineer’s need versus the regulatory requirements. Since current commercial-off-the-shelf (COTS) Enterprise Content Management (ECM) systems are targeted primarily at business environments such as back office applications, financial sectors, and manufacturing, these COTS systems do not provide sufficient focus for managing the unique aspects of flight test data and associated artifacts (documents, drawings, pretest data, etc.). This paper presents our ongoing efforts for deploying a storage infrastructure independent enterprise data management system for maintaining vital up-to-date information and for managing the archival of such data.
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Mykityshyn, Mark. "Assessing the maturity of information architectures for complex dynamic enterprise systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/26686.

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Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Dr. William B. Rouse; Committee Member: Dr. Amy Pritchett; Committee Member: Dr. Leon McGinnis; Committee Member: Dr. Mike Cummins; Committee Member: Dr. Steve Cross. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Glazner, Christopher G. "Understanding enterprise behavior using hybrid simulation of enterprise architecture." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55171.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. [301]-314).
Today, the design of business enterprises is much more art than science. The complex structure and behavior of enterprises makes it difficult to untangle cause and effect amidst its components and their relationships. In order for managers to understand how an enterprise's architecture affects its behavior, they need tools and techniques to help them to manage the complexity of the enterprise. The practice of enterprise architecting continues to make advances in this area with reference frameworks that can be used to guide the decomposition and communication of enterprise architectures, but it does not provide tools to analyze the potential behavior of a proposed enterprise architecture. This research seeks to extend the practice of enterprise architecting by developing an approach for creating simulation models of enterprise architectures that can be used for analyzing the architectural factors affecting enterprise behavior and performance. This approach matches the content of each of the "views" of an enterprise architecture framework with a suitable simulation methodology such as discrete event modeling, agent based modeling, or system dynamics, and then integrates these individual simulations into a single hybrid simulation model. The resulting model is a powerful analysis tool that can be used for "what-if" behavioral analysis of enterprise architectures. This approach was applied to create a hybrid simulation model of the enterprise architecture of a real-world, large-scale aerospace enterprise.
(cont.) Simulation model analysis revealed potential misalignments between the current enterprise architecture and the established strategy of the enterprise. The simulation model was used to analyze enterprise behavior and suggest relatively minor changes to the enterprise architecture that could produce up to a 20% improvement in enterprise profitability without increasing resources to the enterprise.
by Christopher Garrett Glazner.
Ph.D.
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4

Cilley, Southerlan Elizabeth. "Using enterprise architecting to investigate a complex, multilevel enterprise and create a framework for enterprise transformation." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/83788.

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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 106-107).
The Department of Defense (DoD) presented a need to transform its Military Psychological Health Enterprise (MPHE) at multiple levels. It had been established that Enterprise Architecting would be used as an approach to perform the transformation but the way in which the multiple levels of the enterprise would be transformed had yet to be determined. The study began with an investigation into the current state of a low-level component of the MPHE. This investigation invoked Enterprise Architecting techniques to determine the as-is state of this low-level enterprise. Then, the results of the Enterprise Architecting analysis were combined with multilevel analysis techniques to create a framework that supported transformation of a complex, multilevel enterprise. It was determined that upon using Enterprise Architecting techniques to identify the dominant views of a low-level component of a multilevel Enterprise, the structure of the levels the enterprise as well as the interactions between the levels can be used to understand the impacts of decisions made at higher levels of the enterprise. In the specific case of the DoD MPHE, the dominant views were found to be Organization, Process, and Information. By investigating these dominant views in more depth, the ways in which its resources interacted while performing relevant tasks in this micro-level enterprise (Camp Lejeune MPHE) were determined. This information was transformed into objective data, which was then combined with the information about how the levels of the DoD MPHE interact to suggest a framework for modeling potential future states of the enterprise. This will support both the design and selection of a transformation plan for the enterprise. The descriptive application of the suggested framework provided in this thesis supports both the design and selection of a transformation plan for the enterprise.
by Elizabeth Cilley Southerlan.
S.M.in Engineering and Management
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5

Sedera, Darshana. "Enterprise systems success: A measurement model." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16269/3/Darshana%20Sedera%20Thesis.pdf.

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Organizations make large investments in Information Systems (IS) expecting positive impacts to the organisation and its functions. Yet, there exists much controversy surrounding the 'potential' impacts of these systems, with some studies reporting broadly positive impacts of IS across organizations (Barua, Kriebel and Mukhopadhyay 1995; Barua and Lee 1997; Brynjolfsson and Hitt 1996; Lehr and Lichtenberg 1999; Mukherjee, Ray and Miller 2001), while others have shown nil or detrimental impacts (Attewell and Rule 1984; Brynjolfsson and Yang 1996; Cameron and Quinn 1988; Wilson 1993). Various authors have suggested that these conflicting results may be due to poor measurement - E.g. incomplete or inappropriate measures of success (DeLone and McLean 1992; Gable 1996; Melone 1990), lack of theoretical grounding and hence agreement on appropriate measures of success (Bonner 1995; Myers, Kappelman and Prybutok 1998), myopic focus on financial performance indicators (Ballantine, Bonner, Levy, Martin, Munro and Powell 1996; Kaplan and Norton 1996), weaknesses in survey instruments employed (Gable, Sedera and Chan 2003) (e.g., constructs lacking in validity), or (5) inappropriate data collection approach (Seddon, Staples, Patnayakuni and Bowtell 1999; Sedera and Gable 2004) (e.g., asking the wrong people, unrepresentative sample). Enterprise Systems (ES) have over the past decade emerged to be one of the most important developments in the corporate use of information technology. Anecdotal evidence reveals discontent with these large application software packages. Yet Enterprise System investments are seldom systematically evaluated post-implementation; the review process and measures typically being idiosyncratic and lacking credibility. Impacts resulting from 'Enterprise Systems' are particularly difficult to measure, with an Enterprise System entailing many users ranging from top executives to data entry operators; many applications that span the organization; and a diversity of capabilities and functionality. Despite the substantial investments made by organizations and the anecdotal evidence of discontent, systematic attempts to measure their success have been few. The primary objective of this research is to develop and test a standardized instrument for measuring ES-Success. Other related objectives of this research include: (1) to identify the dimensions and measures of ES-Success, (2) to validate a maximally generalizable measurement model and survey instrument for gauging ES-Success; (3) to develop an understanding of the state of Enterprise Systems using descriptive/comparative statistics, and (4) to identify and test an antecedent of ES-Success. With the above objectives, and in attention to the weaknesses identified in past IS-success research, this study follows and extends the 'research cycle' guidelines of Mackenzie and House (1979) and McGrath (1979). The research cycle entails two main phases: (1) an exploratory phase to develop the hypothesized measurement model, and (2) a confirmatory phase, to test the hypothesized measurement model against new data. The two surveys (termed as identification-survey and specification-survey) conducted in the exploratory phase of this research go beyond the activities recommended by Mackenzie and House (1979) and McGrath (1979). A third "confirmation-survey" was completed in the confirmatory phase of the research cycle. The three surveys gathered and analyzed data from six hundred (600) respondents. The purpose of the identification-survey was to discover the salient ES-Success dimensions and measures to include in an a-priori ES-Success model. Data from 137 respondents representing 27 Australian State Government Agencies that had implemented SAP R/3 in the late 1990s were analyzed. The analysis of identification-survey data yielded an a-priori model with 41 measures of 5 dimensions of ES-Success that provide a holistic view across the organization from strategic to operational levels. The specification-survey was employed to validate the a-priori ES-Success measurement model derived in the preceding identification-survey. Employing 310 responses from the same 27 public sector organizations, exploratory data analysis validated 27 measures of success pertaining to the 4 dimensions: information quality, system quality, individual impact and organizational impact. Data for testing the influence of an antecedent of ES-Success was simultaneously gathered during the specification-survey. This analysis, based on the Adaptive Structuration Theory (AST), investigated the influence of Knowledge Management Structures Adequacy (KMSA) on ES-Success. Preliminary results indicate a strong relationship between the Knowledge Management Structures Adequacy and ES-Success. The purpose of the confirmation-survey was to further validate the dimensions and measures of the ES-Success model, using new data, employing confirmatory statistical techniques. Data was gathered from 153 respondents across a large University that had implemented the Oracle Enterprise System, which facilitated further construct validity of the ES-Success measurement instrument was further established using Structural Equation Modeling (SEM).
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6

Sedera, Darshana. "Enterprise systems success: a measurement model." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16269/.

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Organizations make large investments in Information Systems (IS) expecting positive impacts to the organisation and its functions. Yet, there exists much controversy surrounding the 'potential' impacts of these systems, with some studies reporting broadly positive impacts of IS across organizations (Barua, Kriebel and Mukhopadhyay 1995; Barua and Lee 1997; Brynjolfsson and Hitt 1996; Lehr and Lichtenberg 1999; Mukherjee, Ray and Miller 2001), while others have shown nil or detrimental impacts (Attewell and Rule 1984; Brynjolfsson and Yang 1996; Cameron and Quinn 1988; Wilson 1993). Various authors have suggested that these conflicting results may be due to poor measurement - E.g. incomplete or inappropriate measures of success (DeLone and McLean 1992; Gable 1996; Melone 1990), lack of theoretical grounding and hence agreement on appropriate measures of success (Bonner 1995; Myers, Kappelman and Prybutok 1998), myopic focus on financial performance indicators (Ballantine, Bonner, Levy, Martin, Munro and Powell 1996; Kaplan and Norton 1996), weaknesses in survey instruments employed (Gable, Sedera and Chan 2003) (e.g., constructs lacking in validity), or (5) inappropriate data collection approach (Seddon, Staples, Patnayakuni and Bowtell 1999; Sedera and Gable 2004) (e.g., asking the wrong people, unrepresentative sample). Enterprise Systems (ES) have over the past decade emerged to be one of the most important developments in the corporate use of information technology. Anecdotal evidence reveals discontent with these large application software packages. Yet Enterprise System investments are seldom systematically evaluated post-implementation; the review process and measures typically being idiosyncratic and lacking credibility. Impacts resulting from 'Enterprise Systems' are particularly difficult to measure, with an Enterprise System entailing many users ranging from top executives to data entry operators; many applications that span the organization; and a diversity of capabilities and functionality. Despite the substantial investments made by organizations and the anecdotal evidence of discontent, systematic attempts to measure their success have been few. The primary objective of this research is to develop and test a standardized instrument for measuring ES-Success. Other related objectives of this research include: (1) to identify the dimensions and measures of ES-Success, (2) to validate a maximally generalizable measurement model and survey instrument for gauging ES-Success; (3) to develop an understanding of the state of Enterprise Systems using descriptive/comparative statistics, and (4) to identify and test an antecedent of ES-Success. With the above objectives, and in attention to the weaknesses identified in past IS-success research, this study follows and extends the 'research cycle' guidelines of Mackenzie and House (1979) and McGrath (1979). The research cycle entails two main phases: (1) an exploratory phase to develop the hypothesized measurement model, and (2) a confirmatory phase, to test the hypothesized measurement model against new data. The two surveys (termed as identification-survey and specification-survey) conducted in the exploratory phase of this research go beyond the activities recommended by Mackenzie and House (1979) and McGrath (1979). A third "confirmation-survey" was completed in the confirmatory phase of the research cycle. The three surveys gathered and analyzed data from six hundred (600) respondents. The purpose of the identification-survey was to discover the salient ES-Success dimensions and measures to include in an a-priori ES-Success model. Data from 137 respondents representing 27 Australian State Government Agencies that had implemented SAP R/3 in the late 1990s were analyzed. The analysis of identification-survey data yielded an a-priori model with 41 measures of 5 dimensions of ES-Success that provide a holistic view across the organization from strategic to operational levels. The specification-survey was employed to validate the a-priori ES-Success measurement model derived in the preceding identification-survey. Employing 310 responses from the same 27 public sector organizations, exploratory data analysis validated 27 measures of success pertaining to the 4 dimensions: information quality, system quality, individual impact and organizational impact. Data for testing the influence of an antecedent of ES-Success was simultaneously gathered during the specification-survey. This analysis, based on the Adaptive Structuration Theory (AST), investigated the influence of Knowledge Management Structures Adequacy (KMSA) on ES-Success. Preliminary results indicate a strong relationship between the Knowledge Management Structures Adequacy and ES-Success. The purpose of the confirmation-survey was to further validate the dimensions and measures of the ES-Success model, using new data, employing confirmatory statistical techniques. Data was gathered from 153 respondents across a large University that had implemented the Oracle Enterprise System, which facilitated further construct validity of the ES-Success measurement instrument was further established using Structural Equation Modeling (SEM).
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Mansour, Mohamed S. "Behavior Isolation in Enterprise Systems." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14613.

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A barrier to creating the platform-independent services envisioned by middleware-based development infrastructures is the level of performance robustness of the distributed applications created with them, in lieu of unpredictable variations in application behavior or in the resources available for satisfying user requests. Our goal is to improve the behavior locality of distributed applications and to prevent performance (mis-)behaviors from spilling across certain boundaries, since such spillage weakens behavior diagnoses and/or weakens or disables the effects of locally applied control or management methods. Toward these ends, we develop a novel software abstraction, termed {em isolation points} (I-points), which can be used to isolate application components or subsystems from each other. The main contributions of this work are Isolation Points, which are software abstractions for monitoring and understanding dynamic runtime behaviors to better isolation application components hence creating more robust distributed applications. Two concrete artifacts using I-points also developed in this thesis are: I(solation)-RMI and I(solatoin)-Queue. I-RMI demonstrates the utility of isolation points in J2EE's RMI-IIOP domain. I(solation)-Queue applies isolation points to message passing systems.
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Fazlollahi, Ariyan. "Benefits of Enterprise Integration Systems." Thesis, KTH, Industriella informations- och styrsystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98486.

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Today, with various technology and business standards, organizations face rapid changes in both internal and external environments. To be able to rapidly respond to such changing environments, integration of software systems has entered among the top priorities of many organizations. However, despite extended use of software integration, methods for estimating the business value of implementing such integration are still missing. Besides presenting a conceptual model to define the benefits of systems integration and related causal relationships, this study proposes a method for measuring such benefits in monetary terms. In particular, we  demonstrate how a mathematical programming technique called Data Envelopment Analysis (DEA) can be used to evaluate the business value of software integration. Our method is illustrated using data from 12 organizations. The results indicate significant productivity gains by integrating software systems, which represent the value of software integration in organizations.
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Saenz, Oscar Alejandro. "Framework for Enterprise Systems Engineering." FIU Digital Commons, 2005. http://digitalcommons.fiu.edu/etd/32.

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This research aimed at developing a research framework for the emerging field of enterprise systems engineering (ESE). The framework consists of an ESE definition, an ESE classification scheme, and an ESE process. This study views an enterprise as a system that creates value for its customers. Thus, developing the framework made use of system theory and IDEF methodologies. This study defined ESE as an engineering discipline that develops and applies systems theory and engineering techniques to specification, analysis, design, and implementation of an enterprise for its life cycle. The proposed ESE classification scheme breaks down an enterprise system into four elements. They are work, resources, decision, and information. Each enterprise element is specified with four system facets: strategy, competency, capacity, and structure. Each element-facet combination is subject to the engineering process of specification, analysis, design, and implementation, to achieve its pre-specified performance with respect to cost, time, quality, and benefit to the enterprise. This framework is intended for identifying research voids in the ESE discipline. It also helps to apply engineering and systems tools to this emerging field. It harnesses the relationships among various enterprise aspects and bridges the gap between engineering and management practices in an enterprise. The proposed ESE process is generic. It consists of a hierarchy of engineering activities presented in an IDEF0 model. Each activity is defined with its input, output, constraints, and mechanisms. The output of an ESE effort can be a partial or whole enterprise system design for its physical, managerial, and/or informational layers. The proposed ESE process is applicable to a new enterprise system design or an engineering change in an existing system. The long-term goal of this study aims at development of a scientific foundation for ESE research and development.
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Buleje, Miguel. "The Impact of Enterprise Resource Planning Systems on Small and Medium Enterprises." NSUWorks, 2014. http://nsuworks.nova.edu/gscis_etd/108.

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Enterprise resource planning (ERP) systems are considered the price of entry in today's business environment, and the number of small and medium-sized enterprises (SME) retiring legacy systems in favor of ERP systems is increasing exponentially. However, there is a lack of knowledge and awareness of ERP systems and their potential benefit and effect on performance, and overall value to SMEs. While ERP adoption costs and potential benefits are high, it is not apparent whether the end result will translate into higher productivity for SMEs. The goal of this study is to evaluate the benefits that accrue to a firm on adoption of an ERP system. In the context of SME, a production function approach is used to assess benefits over short and long term. In addition to the production function approach, a variety of related methods such as those based on stock market valuation and Tobin's Q are examined. Data were collected using the well-known CRSP datasets for SMEs. Analysis of data suggests that ERP implementation has no effect on firm's performance as measured by profit margins, Tobin's Q ratio and Labor productivity. In fact, ERP investments do not yield noticeable improvements on the performance measures even four years after implementation. Weaknesses in data suggest that the conclusion may be seen as tentative. The results of this research study, added value to the academic knowledge base by helping to understand the effects ERPs have on SMEs overall performance.
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Books on the topic "Enterprise Systems"

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Myerson, Judith M. Enterprise Systems Integration. London: Taylor and Francis, 2001.

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Bell, Steve. Lean Enterprise Systems. New York: John Wiley & Sons, Ltd., 2005.

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Filipe, Joaquim, Michał Śmiałek, Alexander Brodsky, and Slimane Hammoudi, eds. Enterprise Information Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75418-1.

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Filipe, Joaquim, Michał Śmiałek, Alexander Brodsky, and Slimane Hammoudi, eds. Enterprise Information Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08965-7.

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Banger, Daljit Roy. Enterprise Systems Architecture. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8646-3.

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Filipe, Joaquim, and José Cordeiro, eds. Enterprise Information Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00670-8.

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Bell, Steve. Lean Enterprise Systems. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0471756466.

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Hammoudi, Slimane, José Cordeiro, Leszek A. Maciaszek, and Joaquim Filipe, eds. Enterprise Information Systems. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09492-2.

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Filipe, Joaquim, ed. Enterprise Information Systems. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9518-6.

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Filipe, Joaquim, José Cordeiro, and Jorge Cardoso, eds. Enterprise Information Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88710-2.

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Book chapters on the topic "Enterprise Systems"

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Roth, George L., and Anthony J. DiBella. "Enterprise Systems." In Systemic Change Management, 71–84. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137412027_4.

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Proper, Henderik A. "Enterprise Architecture: Informed Steering of Enterprises in Motion." In Enterprise Information Systems, 16–34. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09492-2_2.

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Weichhart, Georg, and Alexander Egyed. "Interoperability Requirements for Adaptive Production System-of-Systems." In Enterprise Interoperability, 57–63. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119564034.ch7.

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White, B. E. "Enterprise Systems Engineering." In Handbook of Systems Sciences, 1–26. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-0370-8_24-1.

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White, B. E. "Enterprise Systems Engineering." In Handbook of Systems Sciences, 1–26. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-0370-8_24-2.

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White, B. E. "Enterprise Systems Engineering." In Handbook of Systems Sciences, 1201–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-0720-5_24.

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Åsebø, Olav. "Product Data Management Systems." In Enterprise Modeling, 201–16. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4475-3_13.

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Ferreira, Diogo R. "Messaging Systems." In Enterprise Systems Integration, 33–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40796-3_3.

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Shishkov, Boris. "Systems." In The Enterprise Engineering Series, 27–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22441-7_2.

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Phillis, Yannis A., and Vassilis S. Kouikoglou. "A System-of-Systems Approach to the Analysis and Conservation of Biodiversity." In Enterprise Information Systems, 3–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29958-2_1.

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Conference papers on the topic "Enterprise Systems"

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Rebovich, George. "Engineering the Enterprise." In 2007 1st Annual IEEE Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/systems.2007.374649.

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Erol, Ozgur, Devanandham Henry, Brian Sauser, and Mo Mansouri. "Perspectives on measuring enterprise resilience." In 2010 4th Annual IEEE Systems Conference. IEEE, 2010. http://dx.doi.org/10.1109/systems.2010.5482333.

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Zamiri, Majid, Andreia Artifice, Elsa Marcelino-Jesus, Joao Sarraipa, and Ricardo Jardim-Goncalves. "A Future Trend in Sensing Enterprise Systems." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88530.

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The widespread use of sensorial technologies has created new opportunities for enterprises, as these new sources of data assist in increasing the context-awareness in which enterprises operate and enable them to better anticipate and adapt to changes in the business environment. This leads to better decision-making and greater profitability, as well as to reduced operating risks. However, if enterprises are to get any benefit from these new data sources, there is a need for tools, which will enable them to deal with the complexity of the multitude of data sources, both from physical and virtual objects, as well as a means to extract relevant and correct information and knowledge from it. Having access to data is not enough. The real value to enterprises comes from being able to process it, interpret it and being able to make accurate forecasts upon which they can base their business decisions. This paper presents the blockchain technology which is intended to support the development of sensing enterprise systems for intelligent knowledge management. Since the creation of the internet, blockchain is the most important technology created that is in constant development and has still much more to develop. In a simple way, blockchain is a computational technology for register of operations, decentralized, free-access, transparent, global, continuous. It is a public database that is accessible for everyone and is much more secure and reliable than other forms currently known to perform similar operations. Thus, it is intended to demonstrate the importance of this recent technology in business processes and the future trends of its use in sensing enterprise business processes. The proposed framework intends to demonstrate and serve as the foundation for new business models supported by the new capabilities provided by sensorial technologies in the support of enterprise applications.
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Crider, Kimberly A., and Joseph K. DeRosa. "Findings of Case Studies in Enterprise Systems Engineering." In 2007 1st Annual IEEE Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/systems.2007.374650.

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Barry, Philip, Matthew Koehler, Tobin Bergin-Hill, Matthew McMahon, Michael Tierney, and Garry Jacyna. "Optimization of Heterogeneous Simulations of Complex Enterprise Systems." In 2008 2nd Annual IEEE Systems Conference. IEEE, 2008. http://dx.doi.org/10.1109/systems.2008.4518996.

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Boxer, Philip J., and Suzanne Garcia. "Enterprise architecture for complex system-of-systems contexts." In 2009 3rd Annual IEEE Systems Conference. IEEE, 2009. http://dx.doi.org/10.1109/systems.2009.4815807.

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Mansouri, Mo, and Ali Mostashari. "A systemic approach to governance in extended enterprise systems." In 2010 4th Annual IEEE Systems Conference. IEEE, 2010. http://dx.doi.org/10.1109/systems.2010.5482432.

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Tambo, Torben. "Enterprise Architecture beyond the Enterprise - Extended Enterprise Architecture Revisited." In 19th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006277103810390.

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Zhang, Zhinan, Qing Long, Yonghong Liu, and Youbai Xie. "An Inner-Enterprise Design Knowledge Flow Management Approach." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20224.

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Design knowledge is distributed unevenly across organizational boundaries within large enterprises. Within this context, there are two main barriers to quick and reliable knowledge flow. The first is the organizational boundaries which will influence the efficiency of new design knowledge flow from when and where it is located to when and where it is need for application. The second is that one organization or sub-company of the same large enterprise often knows little about what kind of design knowledge or capability another one has. These barriers will prevent the flow of knowledge. Therefore, there is a need to develop methods and tools to improve the performance of knowledge flow within large enterprises. This paper first presents a brief introduction to the context and background information of our knowledge flow management practice in a large enterprise. Then the definition of key elements of design knowledge flow are introduced and analyzed. After that, we propose a service-based framework for the management of design knowledge flow; this framework focuses on organizing knowledge providers and developing a knowledge service platform. The proposed approach was primarily validated and verified in a large construction machinery enterprise. In addition, future work on improving the approach to knowledge flow management is also briefly discussed.
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Erol, Ozgur, Mo Mansouri, and Brian Sauser. "A framework for enterprise resilience using service oriented architecture approach." In 2009 3rd Annual IEEE Systems Conference. IEEE, 2009. http://dx.doi.org/10.1109/systems.2009.4815785.

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Reports on the topic "Enterprise Systems"

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Beck, David Franklin. Enterprise and system of systems capability development life-cycle processes. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1346408.

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Souppaya, Murugiah. Improving Enterprise Patching for General IT Systems:. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1800-31.

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Bergey, John, Jr Blanchette, Clements Stephen, Gagliardi Paul, Klein Mike, Wojcik John, Wood Rob, and Bill. U.S. Army Workshop on Exploring Enterprise, System of Systems, System, and Software Architectures. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada537406.

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Bergey, John K., Linda M. Northrop, and Dennis B. Smith. Enterprise Framework for the Disciplined Evolution of Legacy Systems. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada330880.

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Kaplan, Jeremy M. A New Conceptual Framework for Net-Centric, Enterprise-Wide, System-of-Systems Engineering. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada453974.

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TARAKANOVA, V., A. ROMANENKO, and O. PRANTSUZ. MEASURES TO PREVENT POSSIBLE EMERGENCIES AT THE ENTERPRISE. Science and Innovation Center Publishing House, 2022. http://dx.doi.org/10.12731/2070-7568-2022-11-1-4-32-43.

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In the article, the authors consider emergency situations at the enterprise of the Joint-Stock Company “Scientific and Production Complex “Alternative Energy” (JSC “NPK “ALTEN”), consider measures to prevent emergency situations at the enterprise, readiness to eliminate them consequences. Compliance with these measures will improve the efficiency of the company’s industrial safety management system. The relevance of the research is aimed at an effective system of organization and management of industrial safety, which allows you to manage risks and helps to ensure favorable working conditions for the health of employees at the enterprise. A mobile emergency and emergency response system was created. The system can also be used for accounting and accident investigation, based on the use of corporate communication devices and applications for mobile operating systems.
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Fikus, John. Global Information Enterprise Simulation (GIESIM) Joint Tactical Information Distribution Systems Simulation Experimentation. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada438999.

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Asakiewicz, Christopher. Enterprise Systems Value-Based R&D Portfolio Analytics: Methods, Processes, and Tools. Fort Belvoir, VA: Defense Technical Information Center, January 2014. http://dx.doi.org/10.21236/ada603090.

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Vakebte, Andre, Jim Blythe, Yolanda Gil, and William Swartout. On the Role of Humans in Enterprise Control Systems: the Experience of INSPECT. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada459370.

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Morgan, Miranda, and Alastair Stewart. Making Market Systems Work for Women Farmers in Tajikistan: A final evaluation of Oxfam's Gendered Enterprise and Markets programme in Tajikistan. Oxfam GB, December 2019. http://dx.doi.org/10.21201/2019.5372.

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Gendered Enterprise and Markets (GEM) is Oxfam GB’s approach to market systems development. The GEM approach facilitates change in market systems and social norms, with the aim of ensuring more sustainable livelihood opportunities for marginalized women and men. The GEM DFID AidMatch Programme (June 2014–February 2018) worked within the soya, milk and vegetable value chains targeting women smallholder farmers in areas of poverty. The programme aimed to benefit 63,600 people (10,600 smallholder households) living in Zambia, Tajikistan and Bangladesh through increases in household income, women having greater influence over key livelihood decisions within their households and communities, and engaging in livelihoods more resilient to shocks, such as natural disasters and market volatility. In Tajikistan, the Gendered Enterprise and Markets (GEM) programme has been implemented in five districts of Khatlon Province by Oxfam in partnership with local public organizations, League of Women Lawyers of Tajikistan (LWL) and Neksigol Mushovir. The GEM programme in Tajikistan sought to directly improve the livelihoods of an estimated 3,000 smallholder farmers (60 percent women) in fruit and vegetable value chains through improved production skills, resilience to climate risks, access to market opportunities and greater engagement with market players, and strengthened ability to influence private sector and government actors. The evaluation was designed to investigate if and how the GEM programme might have contributed to its intended outcomes – not only in the lives of individual women smallholder farmers targeted by the programme but also to changes in their communities and the larger market system. It also sought to capture any potential unintended outcomes of the programme.
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