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Journal articles on the topic 'Enterprise computing'

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Published: 4 June 2021
Last updated: 4 February 2022

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1

Mateosian, R. "Enterprise computing." IEEE Micro 22, no. 3 (May 2002): 71–72. http://dx.doi.org/10.1109/mm.2002.1013306.

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2

van Sinderen, Marten, and João Paulo A. Almeida. "Empowering enterprises through next-generation enterprise computing." Enterprise Information Systems 5, no. 1 (December 13, 2010): 1–8. http://dx.doi.org/10.1080/17517575.2010.528802.

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3

Strong, Paul. "Enterprise Grid Computing." Queue 3, no. 6 (July 2005): 50–59. http://dx.doi.org/10.1145/1080862.1080877.

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4

Grimshaw, A. S. "Enterprise-Wide Computing." Science 265, no. 5174 (August 12, 1994): 892–94. http://dx.doi.org/10.1126/science.265.5174.892.

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5

Zhang, Hong Xia, and Xiao Dan Zhang. "Research on Cloud Computing-Based Virtual Logistics Enterprise Performance Management." Advanced Materials Research 989-994 (July 2014): 5357–60. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5357.

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Virtual Logistics Enterprise is a joint collaboration between multiple companies to adapt to changing market demands. These member companies have complementary resources and technologies. Cloud computing can provide dynamic resource for each member of virtual logistics enterprises mainly based on Internet-related services. Virtual Logistics Enterprise performance management can efficient and timely acquire the implementation of various companies performance objectives relying on cloud computing platform. Through cloud computing, corporate members can obtain real-time information on the implementation of the overall performance objectives virtual logistics enterprise. Virtual Logistics Enterprise Performance Management can also help member companies to improve their internal performance management. Cloud computing is efficient contact these dynamic virtual logistics enterprise members together. Virtual Logistics Enterprise member companies will be integrated in accordance with pre-set performance management objectives with the cloud computing.
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6

Krok, Ewa. "Cloud computing in enterprise." Organization & Management Scientific Quartely 2017, no. 37 (2017): 81–96. http://dx.doi.org/10.29119/1899-6116.2017.37.6.

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7

Delligatta, Ann, and Robert E. Umbaugh. "EUC BECOMES ENTERPRISE COMPUTING." Information Systems Management 10, no. 4 (January 1993): 53–55. http://dx.doi.org/10.1080/10580539308906958.

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8

Jeffery, Brian. "Enterprise Client/Server Computing." Information Systems Management 13, no. 4 (January 1996): 7–18. http://dx.doi.org/10.1080/10580539608907011.

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9

Grossmann, Georg, and Stefanie Rinderle-Ma. "Guest Editorial: Enterprise Computing." International Journal of Cooperative Information Systems 25, no. 02 (June 2016): 1602001. http://dx.doi.org/10.1142/s0218843016020019.

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10

Vetter, R. "Web-based enterprise computing." Computer 32, no. 5 (May 1999): 112–13. http://dx.doi.org/10.1109/2.762810.

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11

Motahari Nezhad, Hamid R., and Manfred Reichert. "Guest editorial: Enterprise computing." Information Systems 54 (December 2015): 189–90. http://dx.doi.org/10.1016/j.is.2015.06.004.

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12

Shao, MingXing, and XiaoHe Yang. "A Study of the Impact of Cloud Computing Alignment on the Enterprise Technological Capability Based on Environmental Turbulence." E3S Web of Conferences 235 (2021): 02049. http://dx.doi.org/10.1051/e3sconf/202123502049.

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One of the most current concerns in the field of information system is whether cloud computing technology can deliver the desired improvement of capability and value to enterprises. This paper studied the enterprise technology development capability of the enterprises in Beijing Zhongguancun Technology Park, the first national high-tech industrial development zone in China, from the perspective of the breadth and depth of the alignment of cloud computing and enterprise. It proposed a theoretical model to study how the breadth and depth of alignment affects the enterprise technology development capability in a turbulent environment and considers the intermediary role of the enterprise technology absorption capability and the moderation role of environmental turbulence in it. The model was tested empirically by questionnaires and structural equation model (SEM). Empirical results showed that both the deep and wide alignment of cloud computing can enhance the enterprise technology development capability by improving the enterprise technology absorption capability.
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13

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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14

Mvelase, Promise, Nomusa Dlodlo, Quentin Williams, and Matthew O. Adigun. "Custom-Made Cloud Enterprise Architecture for Small Medium and Micro Enterprises." International Journal of Cloud Applications and Computing 1, no. 3 (July 2011): 52–63. http://dx.doi.org/10.4018/ijcac.2011070105.

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Small, Medium, and Micro enterprises (SMMEs) usually do not have adequate funds to acquire ICT infrastructure and often use cloud computing. In this paper, the authors discuss the implementation of virtual enterprises (VE) to enable SMMEs to respond quickly to customers’ demands and market opportunities. The virtual enterprise model is based on the ability to create temporary co-operations and realize the value of a short term business opportunity that the partners cannot fully capture on their own. The model of virtual enterprise is made possible through virtualisation technology, which is a building block of cloud computing. To achieve a common goal, enterprises integrate resources, organisational models, and process models. Through the virtual business operating environment offered by cloud computing, the SMMEs are able to increase productivity and gain competitive advantage due to the cost benefit incurred. In this paper, the authors propose a virtual enterprise enabled cloud enterprise architecture based on the concept of virtual enterprise at both business and technology levels. The business level comprises of organisational models, process models, skills, and competences whereas the technology level comprises of IT resources.
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15

He, Wu, and Feng-Kwei Wang. "A Hybrid Cloud Model for Cloud Adoption by Multinational Enterprises." Journal of Global Information Management 23, no. 1 (January 2015): 1–23. http://dx.doi.org/10.4018/jgim.2015010101.

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As a new IT paradigm for users, cloud computing has the potential to transform the way that IT resources are utilized and consumed. Many multinational enterprises (MNEs) are interested in cloud computing but do not know how to adopt and implement cloud computing in their enterprise settings. In an effort to help MNEs understand cloud computing and develop successful enterprise adoption strategies for cloud computing, the authors propose a hybrid cloud model for MNEs and illustrate the utility of this model by using two case studies. Insights for adopting and implementing this model in international settings are provided as well.
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16

Ashok, Swarnalatha, and Vinay K. Bansal. "JAVA: network-centric enterprise computing." Computer Communications 20, no. 16 (January 1998): 1467–80. http://dx.doi.org/10.1016/s0140-3664(97)00155-2.

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17

Sharman, Geoff. "The Evolution of Enterprise Computing." ITNOW 58, no. 2 (May 16, 2016): 60–61. http://dx.doi.org/10.1093/itnow/bww055.

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18

Stang, M., and S. Whinston. "Enterprise computing with Jini technology." IT Professional 3, no. 1 (2001): 33–38. http://dx.doi.org/10.1109/6294.899931.

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19

Ram, P., and R. Abarbanel. "Enterprise computing: the Java factor." Computer 30, no. 6 (June 1997): 115–17. http://dx.doi.org/10.1109/2.587561.

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20

Collinson, Helen. "Secure Unix for enterprise computing." Computers & Security 14, no. 3 (January 1995): 219. http://dx.doi.org/10.1016/0167-4048(95)90379-8.

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21

El Houssaini, Charafeddine, Mahmoud Nassar, and Abdelaziz Kriouile. "A Governance Based Architecture for Enterprise Cloud Computing Adoption." International Journal of Cloud Applications and Computing 4, no. 3 (July 2014): 54–67. http://dx.doi.org/10.4018/ijcac.2014070104.

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In the trendy wide adoption of the cloud computing solutions, the relevant challenge has changed from the opportunities and capabilities offered to the governance issues when moving to this new computing paradigm. Since, the enterprises are considerably interested about keeping control even in the virtual environment. To fulfill this objective an architectural approach is introduced: Governance-based Architecture for Enterprise Cloud Computing Adoption. As an alternative to the big organism's Cloud Computing Reference Architecture (CCRA) which is provider-centric, the proposed architecture is consumer-centric and tries to deal with the enterprise requirements and needs. The core architecture is articulated in seven modules which are enveloped by a Unified Cloud Service Interface.
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22

Ngo, Hung Ba, and Tru Cong Huynh. "Enterprise Application Backup and Restore in Cloud Computing." International Journal of Computer and Electrical Engineering 8, no. 2 (2016): 169–76. http://dx.doi.org/10.17706/ijcee.2016.8.2.169-176.

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23

Majdalawieh, Munir, Adam Marks, and Stefan Weidner. "Enterprise Computing Curriculum: A Reference Framework." Journal of Social Sciences Research, no. 512 (December 2, 2019): 1671–80. http://dx.doi.org/10.32861/jssr.512.1671.1680.

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An expanding number of colleges and universities are offering one form or another of enterprise computing academic programs to meet the market demand for graduate in this field. The programs regularly are developed by team of faculty who are expert in this area and in collaboration with Enterprise Application Solutions Vendors offering platforms in this field. As of presently, there’s no enterprise computing reference curriculum recognized by the scholarly community or industry. Industry and the scholarly community frequently vary in the scope and the definition of enterprise computing program. Subsequently, the need for an enterprise computing reference framework has regularly been enunciated in an assortment of of meetings within the enterprise computing community. The goal of this paper is to propose an enterprise computing reference curriculum model at the undergraduate level based on a study of the enterprise computing program at several local, regional, and international universities, the industry needs of enterprise computing competencies, the expertise of the authors, and the best practices available in the scholarly community and industry.
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24

Chang, Ruay-Shiung, Chih-Shan Liao, and Chuan-Yu Liu. "Choosing Clouds for an Enterprise." International Journal of E-Entrepreneurship and Innovation 4, no. 2 (April 2013): 38–53. http://dx.doi.org/10.4018/ijeei.2013040103.

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The development of cloud computing has advanced rapidly over the past few years. Benefiting from the dynamic characteristics of cloud computing, enterprises can purchase cloud services based on different aspects in order to save operating expenses. Many companies have seen the opportunities and changes in either cloud service providers or cloud service consumers. For the latter, with so many cloud providers to choose from, there is a need for an evaluation of standards to help find the most suitable service provider. In this paper, the essential factors of enterprise clouds are discussed. An evaluation model is defined, and a web-based enterprise cloud selection application is implemented.
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25

Dumitru, Ileana. "Grid Computing." International Journal of Sustainable Economies Management 3, no. 3 (July 2014): 67–78. http://dx.doi.org/10.4018/ijsem.2014070105.

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To calculate the potential impact of grid on the enterprise, one just needs to look back a decade or so ago. Those who remember how LANs developed in company years before the Web was born can easily get a picture of how Grid Computing in corporations may change in the years to come. In the early days of the Internet, there was a strong opposition to linking computers together in a network. Ultimately, however, the Internet has become a ubiquitous tool, and many experts predict the same outcome for Grid Computing on the enterprise. There are still concerns to consider and obstacles to be overcome, but the momentum behind corporate Grid Computing is quickly gathering pace. The integration of Grid Computing technologies into enterprise computing systems can provide a much richer range of possibilities. This integration should provide enhanced capabilities and interoperability to meet current virtual organization demands.
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26

Wei, Ling, Wei Xi Zhang, and Xin Peng Guo. "A Design of IT Enterprise Information Platform in Cloud Environment." Advanced Materials Research 981 (July 2014): 218–21. http://dx.doi.org/10.4028/www.scientific.net/amr.981.218.

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This paper seeks to combine the advantages of cloud computing to design an IT enterprise alliance information platform based on cloud computing. In this study, we adopt B/S framework of tree cloud database to store IT enterprise alliance information for this platform, which is used for activity data collection and its subsequent analysis. Further, starting with the demand analysis of IT enterprise alliance information, we investigate the function of the information platform, including information release function, knowledge sharing function and online communication function and so on. At last, we propose and devise an effective IT enterprise alliance information platform utilizing the cloud resource to complete handling business problems between alliance enterprises effectively.
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27

Ho, Thanh Trung, Thy Thi Phuong Ho, Trang Thi Le, Van Thi Hoai Quach, Khang Phuoc Hoang Le, and Nga Thi Thuy Tran. "Cloud ERP, a new approach for enterprise resources planning." Science and Technology Development Journal 19, no. 1 (March 31, 2016): 111–28. http://dx.doi.org/10.32508/stdj.v19i1.532.

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The combination between Enterprise Resource Planning (ERP) system and Cloud Computing technology is a new trend in information technology and communication. These are two different arrays of information system in modern business. However, when the advantages of ERP and the outstanding features of Cloud Computing technology are integrated, they not only can bring more benefits to the enterprises, but also help them to develop sustainably in the the dynamic economic market. Cloud ERP (Cloud - Based ERP) has been popularly applied in organizations worldwide but not received much attention from Vietnamese enterprises. Therefore, the study on Cloud - Based ERP can create a new ERP approach for the Vietnamese enterprises. In particular, it can help them understand Cloud ERP technology solution and the practical benefits that it brings. The study only proposes the its application based on the class of service models of Cloud Computing for the enterprises. From the successful implementation of Cloud ERP technology solution based on PaaS model of Cloud Computing, the study provides enterprises with the installations, configure, and a knowledge of the application solution.
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28

Li, Jiao. "The Innovation and Construction of Enterprise Information Management Mode in the Era of Cloud Computing." Advanced Engineering Forum 6-7 (September 2012): 143–48. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.143.

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The main purpose of writing this paper is to introduce the application of a new technology and business model--cloud computing to enterprises which are undertaking or will undertake the construction and operation of information management system, in order to solve the problems of high investment and low efficiency in information system construction and operation. The paper makes a general introduction to cloud computing, discusses the influence of cloud computing on enterprises taking into account the actual problems of enterprises, and puts an emphasis on how to use cloud computing for information management innovation. The paper puts forward a brand-new mode of enterprise information management - cloud services and points out the commercial application value of cloud computing, and enterprises can use the ideas in this paper for important reference in the process of information management innovation.
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29

Zatonatska, Tetiana, and Oleksandr Dluhopolskyi. "MODELLING THE EFFICIENCY OF THE CLOUD COMPUTING IMPLEMENTATION AT ENTERPRISES." Marketing and Management of Innovations, no. 3 (2019): 45–59. http://dx.doi.org/10.21272/mmi.2019.3-04.

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The article describes the main characteristics, types and properties of cloud computing. The most widespread cloud technologies in Ukraine are analyzed. It is identified that the largest share among users of cloud technologies in Ukraine currently belong to large holdings, IT companies, commercial enterprises and banks, but other sectors of business are also involved in the development of these services. The aim of the article is to develop the methodology for evaluating the efficiency of cloud technologies implementation at enterprises and its experimental verification. The economic component of the cloud computing implementation at enterprises (expenditures and revenues of both cloud technology owners and users) is considered. The efficiency of using cloud computing at enterprises is proved. It is found that organizations usually do not use the power of their personal data centers to a full extent. This leads to idle equipment, extra cost on maintenance and servicing of hardware, amortization, staff salaries and etc. The feasibility of transition of enterprises to cloud computing in such situations has been proved, which considerably reduce the costs of the enterprise due to the absence of need for hardware and necessary staff to support the operation of information systems. Usability of the methodology of total cost of ownership in evaluating the effectiveness of using services for the enterprise has been proved. The proposed methodology compares the main costs of using personal data centers and the cost of using cloud computing. It is experimentally proven that in most cases, the cost of maintaining personal data center (PDC) is higher than the cost of cloud services. It is also proved that the efficiency of cloud technology operation depends on the internal structure and organization of computing processes inside the systems, as well as on external factors such as the size of enterprises-clients, industries, costs for the organization of data centers, etc. Cloud computing is an advanced technology which has future prospects and is cost-effective for both enterprise users and provider organizations.
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30

Hu, Ji Chao, and Xiang Wen Yang. "The Research on Knowledge Sharing in the Small and Medium-Sized Enterprise Based on Cloud Computing." Applied Mechanics and Materials 686 (October 2014): 736–41. http://dx.doi.org/10.4028/www.scientific.net/amm.686.736.

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The paper combine cloud computing with knowledge management, and classify the knowledge management of enterprise information management system, finally the paper plan and design the overall architecture of enterprise management information system. According to the model of cloud computing, establish the cloud computing platform based on the construction of cloud computing and virtualization technology, in order to achieve the overall architecture of the management information system of enterprise that migrate to the cloud computing environment. This paper mainly introduced in the cloud computing architecture of enterprise management information system under the environment of cloud computing and implementation of knowledge management system.
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31

Anandamurugan, S. "Research Issues in Enterprise Cloud Computing." i-manager's Journal on Cloud Computing 2, no. 1 (January 15, 2015): 14–23. http://dx.doi.org/10.26634/jcc.2.1.3302.

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32

Dewey, Allen Mark, and Richard Bolton. "Virtual Enterprise and Emissary Computing Technology." International Journal of Electronic Commerce 4, no. 1 (September 1999): 45–64. http://dx.doi.org/10.1080/10864415.1999.11518356.

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33

Rocbe, Edward M. "Ubiquitous Computing i.n the Multinational Enterprise." Journal of Global Information Technology Management 6, no. 4 (October 2003): 1–5. http://dx.doi.org/10.1080/1097198x.2003.10856357.

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34

Bhattacharjee, Sudip, and R. Ramesh. "Enterprise computing environments and cost assessment." Communications of the ACM 43, no. 10 (October 2000): 74–82. http://dx.doi.org/10.1145/352183.352208.

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35

van Sinderen, Marten. "Challenges and solutions in enterprise computing." Enterprise Information Systems 2, no. 4 (November 2008): 341–46. http://dx.doi.org/10.1080/17517570802442063.

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36

Feldman, Stuart. "Distributed Computing in the Modern Enterprise." Queue 3, no. 6 (July 2005): 8. http://dx.doi.org/10.1145/1080862.1080864.

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37

Zeng, Li, Ling Li, and Lian Duan. "Business intelligence in enterprise computing environment." Information Technology and Management 13, no. 4 (May 9, 2012): 297–310. http://dx.doi.org/10.1007/s10799-012-0123-z.

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38

Mandičák, Tomáš, Peter Mesároš, and Mária Kozlovská. "Exploitation of cloud computing in management of construction projects in Slovakia." Organization, Technology and Management in Construction: an International Journal 8, no. 1 (December 1, 2016): 1456–63. http://dx.doi.org/10.1515/otmcj-2016-0014.

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Abstract The issue of cloud computing is a highly topical issue. Cloud computing represents a new model for information technology (IT) services based on the exploitation of Web (it represents a cloud) and other application platforms, as well as software as a service. In general, the exploitation of cloud computing in construction project management has several advantages, as demonstrated by several research reports. Currently, research quantifying the exploitation of cloud computing in the Slovak construction industry has not yet been carried out. The article discusses the issue of exploitation of cloud computing in construction project management in Slovakia. The main objective of the research is to confirm whether factors such as size of construction enterprise, owner of construction enterprise and participant of construction project have any impact on the exploitation level of cloud computing in construction project management. It includes confirmation of differences in use between different participants of the construction project or between construction enterprises broken down by size and shareholders.
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39

Yang, Dehua. "A Quantitative Method for Selection of Enterprise Cloud Computing Models." Journal of Systems Science and Information 4, no. 4 (August 25, 2016): 365–78. http://dx.doi.org/10.21078/jssi-2016-365-14.

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AbstractTargeting at methodological limitations in the decision-making of enterprise cloud computing adoption, this paper analyzes the main influence factors affecting enterprise cloud computing, builds up their hierarchical structures, and works out 8 key influence factors affecting cloud computing models, based on the structural model theory in system engineering. A quantitative method is provided for the selection of optimal or recommended enterprise cloud computing models, in terms of the relationship valuations among key influence factors, cloud computing models, and the factor weights for a specific enterprise.
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40

Chi, Yongfang. "Network System Structure Design for Data Centers in Large Enterprises Using Cloud Computing." International Journal of Enterprise Information Systems 14, no. 2 (April 2018): 87–97. http://dx.doi.org/10.4018/ijeis.2018040106.

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In this article, the author discusses the network system structure design for data centers in large enterprises using cloud computing. First, she designs a framework for a cloud data center in large enterprise systems. Second, she establishes the data center network frame based on software-defined networking (SDN) and the algorithm procedure. Third, she studies the moving algorithm of a virtual machine and the broadband allocation mechanism of a data center of a large enterprise network system along with the mathematical model. Finally, the author carries out the performance simulation analysis of the data center based on cloud computing. Finally, she carries out the performance comparison between the new data center at a large enterprise network system and traditional systems. The author shows that the new data center model in large enterprise network systems has a better network capacity and fault tolerance.
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41

Wang, Rui-Dong, Xue-Shan Sun, Xin Yang, and Haiju Hu. "Cloud Computing and Extreme Learning Machine for a Distributed Energy Consumption Forecasting in Equipment-Manufacturing Enterprises." Cybernetics and Information Technologies 16, no. 6 (December 1, 2016): 83–97. http://dx.doi.org/10.1515/cait-2016-0079.

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Abstract Energy consumption forecasting is a kind of fundamental work of the energy management in equipment-manufacturing enterprises, and an important way to reduce energy consumption. Therefore, this paper proposes an intellectualized, short-term distributed energy consumption forecasting model for equipment-manufacturing enterprises based on cloud computing and extreme learning machine considering the practical enterprise situation of massive and high-dimension data. The analysis of the real energy consumption data provided by LB Enterprise was undertaken and corresponding calculating experiments were completed using a 32-node cloud computing cluster. The experimental results show that the energy consumption forecasting accuracy of the proposed model is higher than the traditional support vector regression and the generalized neural network algorithm. Furthermore, the proposed forecasting algorithm possesses excellent parallel performance, overcomes the shortcoming of a single computer’s insufficient computing power when facing massive and high-dimensional data without increasing the cost.
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42

Song, Yu Bo, and Zhao Yuan Jiang. "Enterprise Asset Management Platform under Cloud Computing Mode." Advanced Materials Research 542-543 (June 2012): 1271–74. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.1271.

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Enterprise asset management system can help to reduce operating costs, improve the management level of enterprise, and the relevant industry expert knowledge contained in this system can provide a unified management platform for all key assets of enterprise. To build an information center of enterprise asset management that is cross-industry and cross-area, cloud computing technology should be introduced to build cloud computing platform of asset management. The construction needs of asset management cloud platform are analyzed, and the cloud computing characteristics of platform construction is studied in this paper. Afterwards, the system architecture and key technologies of constructing the cloud computing platform for enterprise asset management are put forward.
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43

Weng, Dong Dong, Xiao Fang Wang, and Si Lv. "About Cloud Computing Research and Countermeasure of Derivative Accounting Problems." Advanced Materials Research 962-965 (June 2014): 2756–59. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2756.

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Cloud computing mode under Internet environment construction is a new financial management information construction mode,The accounting issues of cloud computing based on derivative, through the research of cloud computing in the cloud computing platform, safety precautions in the cloud era, measurement and the ratio of income and cost of cloud cloud in cloud business model and how to make accounting voucher valid etc.To provide advice for the enterprise Accounting information construction of our country implementation of cloud computing service model, provides the countermeasure for cloud security issues, so that enterprises can better meet the arrival of the era of cloud.
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44

Alekseev, Aleksandr V., and Nikolay N. Novitsky. "Information and computing spaces integration for operating enterprises of pipeline systems using “ANGARA” computer technology." E3S Web of Conferences 39 (2018): 04001. http://dx.doi.org/10.1051/e3sconf/20183904001.

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The article describes the informatization level of enterprises operating pipeline networks. Existing problems are presented. These problems are related to the fragmentation of information systems and the inability to provide information support for decision-making on the management of the development and operation of pipeline systems. An overview of the most high-usage used software for automate the activities of enterprises is given. The need to create a common information space of an enterprise and the opportunities it provides is shown. A brief description of the information-computer environment “ANGARA” and the technology of organizing a common information space on its basis is given. The experience of practical application of the information-computer environment “ANGARA” for creating the common information space of the Municipal Unitary Enterprise “Vodocanal” in Irkutsk is cited. On the diagram of the organizational structure of the enterprise the workplaces with access to a common information is showed.
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45

Pfaff, Oliver, and Sebastian Ries. "Integrating Enterprise Security Infrastructure with Cloud Computing." Journal of Internet Technology and Secured Transaction 3, no. 4 (December 1, 2014): 338–43. http://dx.doi.org/10.20533/jitst.2046.3723.2014.0042.

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46

Sweeney, Michael, and Alan Manning. "Realizing the Benefits of Enterprise-Wide Computing." Water Science and Technology 28, no. 11-12 (December 1, 1993): 21–27. http://dx.doi.org/10.2166/wst.1993.0642.

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This paper is a case history on the benefits the city of Indianapolis has been able to realize from incorporating an enterprise-wide model for approaching automation at their two Advanced Wastewater Treatment (AWT) Plants. Emphasized is the importance of strategic planning, performance measures and human factors associated with the suggested implementation of applied technology. Also discussed are the results, thus far, with the implemented portions of the plan. A framework is summarized for other municipalities to use as a guide to applying virtually any automation technology.
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47

Nezlek, George S., Hemant K. Jain, and Derek L. Nazareth. "An integrated approach to enterprise computing architectures." Communications of the ACM 42, no. 11 (November 1999): 82–90. http://dx.doi.org/10.1145/319382.319399.

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48

van Sinderen, Marten, and Marcus Spies. "Towards model-driven service-oriented enterprise computing." Enterprise Information Systems 3, no. 3 (August 2009): 211–17. http://dx.doi.org/10.1080/17517570903116442.

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Quan, Changqin, and Fuji Ren. "Textual emotion recognition for enhancing enterprise computing." Enterprise Information Systems 10, no. 4 (August 15, 2014): 422–43. http://dx.doi.org/10.1080/17517575.2014.948935.

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Beaty, K. A., V. K. Naik, and C. S. Perng. "Economics of cloud computing for enterprise IT." IBM Journal of Research and Development 55, no. 6 (November 2011): 12:1–12:13. http://dx.doi.org/10.1147/jrd.2011.2172254.

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