Academic literature on the topic 'Business computing'

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Journal articles on the topic "Business computing"

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Johnson, David, John Edwards, and Colin Lewis. "Business Computing Primer." Journal of the Operational Research Society 46, no. 11 (November 1995): 1394. http://dx.doi.org/10.2307/2584574.

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Johnson, David. "Business Computing Primer." Journal of the Operational Research Society 46, no. 11 (November 1995): 1394–95. http://dx.doi.org/10.1057/jors.1995.188.

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Frantsvog, Dean, Tom Seymour, and Freneymon John. "Cloud Computing." International Journal of Management & Information Systems (IJMIS) 16, no. 4 (September 20, 2012): 317. http://dx.doi.org/10.19030/ijmis.v16i4.7308.

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The purpose of this article is to provide information about Cloud Computing. As a subject matter that is often mentioned, but not quite understood, the authors decided to cover areas that go over the history, evolution, adoption, threats, and opportunities that exist with Cloud Computing and businesses today. Cloud Computing is the latest hype in the technology world, and organizations are taking notice. It is changing the way industries and enterprises do their business, while allowing users with less capital to utilize the same services and create a competitive advantage. It is emerging as one of the major enablers for all organizations, big or small, and causing businesses to re-evaluate their business models and IT infrastructure strategies.
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Sundee Bo, Khin. "Cloud Computing for Business." International Journal of Advances in Scientific Research and Engineering 4, no. 7 (July 2018): 150–60. http://dx.doi.org/10.31695/ijasre.2018.32816.

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Schryen, Guido, Natalia Kliewer, and Andreas Fink. "High Performance Business Computing." Business & Information Systems Engineering 62, no. 1 (November 11, 2019): 1–3. http://dx.doi.org/10.1007/s12599-019-00622-2.

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Saha, Goutam Kumar. "Business intelligence computing issues." Ubiquity 2007, June (June 2007): 1. http://dx.doi.org/10.1145/1276162.1286461.

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Ahirwar, Dr Anamika, and Anshu Singh Parihar. "IMPACT OF CLOUD COMPUTING ON BUSINESS." BSSS journal of computer 12, no. 1 (June 30, 2021): 90–97. http://dx.doi.org/10.51767/jc1210.

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Cloud computing is very helpful for a business just because cloud computing helps the small and large business to start a digital business. Due to the rapid growth of computing resources over the past years, cloud computing has been treated as a prominent research field and this technology appeared as a new solution in the IT field. Many businesses including small, medium, and enterprise are migrating to this technology for so many reasons such as availability of computing resources, reduced total cost of ownership, on- demand services, increased revenue, and many more. Cloud Computing offers a number of advantages of cloud migration that motivated business enterprises to adopt this change. Our Prime Minister Mr. Narendra Modi Ji dreams to make a digital India and the cloud could help to make India digital.
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Karadsheh, Louay, and Samer Alhawari. "Applying Security Policies in Small Business Utilizing Cloud Computing Technologies." International Journal of Cloud Applications and Computing 1, no. 2 (April 2011): 29–40. http://dx.doi.org/10.4018/ijcac.2011040103.

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Over a decade ago, cloud computing became an important topic for small and large businesses alike. The new concept promises scalability, security, cost reduction, portability, and availability. While addressing this issue over the past several years, there have been intensive discussions about the importance of cloud computing technologies. Therefore, this paper reviews the transition from traditional computing to cloud computing and the benefit for businesses, cloud computing architecture, cloud computing services classification, and deployment models. Furthermore, this paper discusses the security policies and types of internal risks that a small business might encounter implementing cloud computing technologies. It addresses initiatives towards employing certain types of security policies in small businesses implementing cloud computing technologies to encourage small business to migrate to cloud computing by portraying what is needed to secure their infrastructure using traditional security policies without the complexity used in large corporations.
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Petrescu, Maria. "Cloud computing and business-to-business networks." International Journal of Business Information Systems 10, no. 1 (2012): 93. http://dx.doi.org/10.1504/ijbis.2012.046682.

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Pažun, Brankica. "Cloud Computing influence on modern business." Serbian Journal of Engineering Management 3, no. 2 (2018): 60–66. http://dx.doi.org/10.5937/sjem1802060p.

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Dissertations / Theses on the topic "Business computing"

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Sampathkumaran, Partha B. "Computing the cost of business processes." Diss., Ludwig-Maximilians-Universität München, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:19-158291.

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Ong, Sze Hwei 1979. "Grid computing : business and policy implications." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/30035.

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Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2003.
Includes bibliographical references (leaves 84-86).
The Grid is a distributed computing infrastructure that facilitates the exchange of expertise and resources. It is somewhat analogous to the electric power grid in that it can potentially provide a universal source of IT resources that can have a huge impact on human capabilities and on the entire society. Currently the Grid is being deployed (in limited ways) in some research and academic institutions. As Grid computing technologies mature further, the commercial sector can also benefit. With Grid technologies enabling utility computing, enterprises will be able to access IT resources on-demand in a utility-like way. This thesis gives a brief introduction on Grids and looks back into the history of power grids for lessons learned. It suggests that the Grid and the power grid are both infrastructures and factors of reliability, standardization, universal access and affordability are necessary to ensure the success of any infrastructure. Once the Grid is successful, it can open up new opportunities in the field of utility computing and impact IT provision in the commercial sector. The new utility computing ecosystem would consist of five major players - the Grid resource supplier, the Grid infrastructure supplier, the utility service provider, the re-seller and the end user. Further industry analysis reveals that there are new roles for current players in the traditional IT provision industry and opportunities for new entrants in this new ecosystem. The thesis attempts to identify the characteristics of each of the five major players to help the IT industry better understand the requirements of these new roles. Current players in the IT provision industry would have to decide which of the above roles to play in this new utility computing ecosystem and to re-define their market strategies accordingly. New entrants to the field would likely be players in the telecommunication sector who want a share of this growing pie and whose existing relationship with bandwidth subscribers can be leveraged upon. This thesis concludes with recommendations on several policy issues: Grid standardization for inter-operability, decentralized Grid governance to encourage optimal resource sharing and mechanisms for transcending cultural/organizational barriers inhibiting the commercial adoption of Grid computing.
by Sze Hwei Ong.
S.M.
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Cavicchini, Andrea. "Cloud Computing e Modelli di Business." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amslaurea.unibo.it/2410/.

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Krikos, Alexis Christopher. "Disruptive technology business models in cloud computing." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59255.

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Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Cloud computing, a term whose origins have been in existence for more than a decade, has come into fruition due to technological capabilities and marketplace demands. Cloud computing can be defined as a scalable and flexible shared computing solution in which third-party suppliers use virtualization technologies to create and distribute computing resources to customers on-demand, via the Internet browser. Cloud computing is steadily replacing more rigid software and services licensing models in both small/medium business (SMB) and in the enterprise. This analysis poses a twofold examination of cloud computing as a disruptive technology. First, cloud computing has replaced existing software and services licensing business models, owing to its scalability, flexibility, and utility-based pricing. Second, as cloud computing takes hold as the prominent computing services business paradigm, other disruptive forces will surface to further integrate and differentiate the cloud computing landscape. These forces include the customer-driven need to create hybrid clouds between private and public cloud domains, vendor-agnostic solutions in the cloud, along with open standards to make cloud computing ubiquitous. Three criteria are assessed in characterizing cloud computing as a disruptive technology (Christensen, 2002).1 First, cloud computing as an innovation, must enable less-skilled and/or less-wealthy individuals to receive the same utility as only the more-skilled and/or more-wealthy intermediaries could formerly attain. Second, cloud computing must target customers at the low end of a market with modest demands on performance, but with a performance trajectory capable of exceeding those demands and thus taking over markets, tier by tier. As a corollary to this second criterion, the cloud computing business model allows the disruptive innovator to achieve attractive returns at prices that are unattractive to the incumbents. Third, an ecosystem in the form of a fully integrated single entity or a set of modular entities is required to successfully support the disruptive innovation. The analysis has shown that cloud computing is replacing traditional outsourcing and premise-based data centers for software applications and services delivery. Scalability, flexibility, virtualization, and cost are essential business drivers. However, current cloud computing solutions, especially in the enterprise, lack sufficient security and customer control. This gives rise to numerous subordinate disruptive business solutions which enable the enterprise and emerging demographics to develop and deploy their applications and services in a secure, controlled, profitable, and ubiquitous environment.
by Alexis Krikos.
S.M.in System Design and Management
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Phalke, Vidyadhar 1968. "Strategies for managing business disruption due to grid computing." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16998.

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Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2003.
Includes bibliographical references (leaves 44-45).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
In the technology centric businesses disruptive technologies displace incumbents time and again, sometimes to the extent that incumbents go bankrupt. In this thesis we would address the issue of what strategies are essential to prepare for and to manage disruptions for the affected businesses and industries. Specifically we will look at grid computing that is poised to disrupt (1) certain Enterprise IT departments, and (2) the software industry in the high-performance and web services space. In this thesis, we will present an analysis for addressing this disruption on a segment by segment basis across the distributed computing and application software value chain.
by Vidyadhar Phalke.
S.M.M.O.T.
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Dahalin, Zulkhairi. "Factors affecting end-user computing sophistication in small business." Thesis, Aston University, 2000. http://publications.aston.ac.uk/10607/.

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This thesis describes research on End-User Computing (EUC) in small business in an environment where no Information System (IS) support and expertise are available. The research aims to identify the factors that contribute to EUC Sophistication and understand the extent small firms are capable of developing their own applications. The intention is to assist small firms to adopt EUC, encourage better utilisation of their IT resources and gain the benefits associated with computerisation. The factors examined are derived inductively from previous studies where a model is developed to map these factors with the degree of sophistication associated with IT and EUC. This study attempts to combine the predictive power of quantitative research through surveys with the explanatory power of qualitative research through action-oriented case study. Following critical examination of the literature, a survey of IT Adoption and EUC was conducted. Instruments were then developed to measure EUC and IT Sophistication indexes based on sophistication constructs adapted from previous studies using data from the survey. This is followed by an in-depth action case study involving two small firms to investigate the EUC phenomenon in its real life context. The accumulated findings from these mixed research strategies are used to form the final model of EUC Sophistication in small business. Results of the study suggest both EUC Sophistication and the Presence of EUC in small business are affected by Management Support and Behaviour towards EUC. Additionally EUC Sophistication is also affected by the presence of an EUC Champion. Results are also consistent with respect to the independence between IT Sophistication and EUC Sophistication. The main research contributions include an accumulated knowledge of EUC in small business, the Model of EUC Sophistication, an instrument to measure EUC Sophistication Index for small firms, and a contribution to research methods in IS.
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Reece, Steven Andrew. "Neural networks in business condition monitoring." Thesis, Southampton Solent University, 1997. http://ssudl.solent.ac.uk/1265/.

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The research uses neural nets as a tool in the investigation of busienss failure prediction and business performance monitoring. The novelty lies in the introduction of models including qualitative factors as well as financial ratios. In addition, an analysis of data gathered from a new survey is offered. To achieve its objectives the research begins by exploring the AI options and then reviews current neural net technology with a view to identifying appropriate technology for the implementation of a classifier for the two areas of failure prediction and performance monitoring. After consideration of the strengths and weaknesses of the options, a multi-layer perceptron, back propagation net is adopted as being unsuitable for this application. In order to verify the validity of the bespoke neural net software it was necessary to employ a two stage strategy. The first step was to confirm that the net, as implemented, retained the expected property of being able to solve problems that were not linearly separable. This was achieved by demonstrating its ability to solve the straightforward XOR problem. To be confident of the net performance it was deemed necessary to replicate the experiments of previous research which used only purely financial inputs to the net. The results confirmed the validity of the new network implementation. Using the intital results as a control, experiments were undertaken to ascertain the effect of reducing the training sample size and to identify minimum sample sizes commensurate with maintaining the effectiveness. The work then further contributes to this research by using traditional stastical methods to provide an empirically derived equation for calculating the minimum number of training patterns required for corporate failure prediction in the context of the experimental sets of variables. The resulting failure prediction model was then used to test for symptoms of bankruptcy in firms currently trading. The thesis then leads on to describing a technique developed in this study for pre-processing qualitative questionnaires, prior to input into a neural model as well as providing a method for predicting values not supplied in incomplete survey responses. A contribution is also made to the area of company performance analysis by using neural techniques and discriminant analysis to show that relationships do exist between certain company variables and business performance, as well as highlighting which of these variables are the most important if an appropriate corporate condition monitoring strategy is to be developed. Lastly, the corporate performance neural network model is enhanced by facilitating the categorisation of a firm into one of several performance bands.
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Craft, D. H. "Resource management in a distributed computing system." Thesis, University of Cambridge, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.254104.

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Ball, Raymond T. Jr. "Wireless cloud computing on Guided Missile Destroyers: a business case analysis." Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/34622.

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Approved for public release; distribution is unlimited
This is a Business Case Analysis of the cost and benefits of implementing a Wireless Cloud Computing Network (WCCN) onboard Guided Missile Destroyers (DDGs) utilizing tablet computers. It compares the life cycle costs of WCCNs utilizing tablet computers over a mixed network of thin clients and desktop computers. Currently, the Consolidated Afloat Networks and Enterprise Services (CANES) program will install both thin clients and desktops on board new and old DDGs to implement the unclassified portion of its network. The main cost benefits of tablets will be realized through energy savings and an increase in productivity. The net present value of tablets is expected to be considerably better than the current CANES configuration with the initial investment required for tablets breaking-even in five years if each sailor saves 22 seconds a day by having a tablet. Alternatively, the tablet configuration also breaks even in less than 6 years just considering operational costs alone. Sensitivity analysis on the cost of deferent types of tablet devices and the range of different productivity gains shows very limited downside from investing in tablets compared to considerable upside (depending on the productivity gains achieved in practice).
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Singh, Vivek Kumar. "Essays on Cloud Computing Analytics." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7943.

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This dissertation research focuses on two key aspects of cloud computing research – pricing and security using data-driven techniques such as deep learning and econometrics. The first dissertation essay (Chapter 1) examines the adoption of spot market in cloud computing and builds IT investment estimation models for organizations adopting cloud spot market. The second dissertation essay (Chapter 2 and 3) studies proactive threat detection and prediction in cloud computing. The final dissertation essay (Chapter 4) develops a secured cloud files system which protects organizations using cloud computing in accidental data leaks.
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Books on the topic "Business computing"

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Business computing. London: E. Arnold, 1987.

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Falkowski, Bernd-Jürgen. Business Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-55973-0.

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Jaros-Sturhahn, Anke, and Konrad Schachtner. Business Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-97733-6.

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Edwards, John S. Business computing primer. London: Pitman, 1994.

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Knight, Jane. Personal computing for business. London: Pitman, 1995.

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Successful computing for business. Hauppauge, N.Y: Barron's Educational Series, 1997.

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Business computing for small contractors. Berkeley, Calif: Osborne McGraw-Hill, 1986.

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Lay, P. M. Q. The principles of business computing. 2nd ed. Cape Town: Juta, 1985.

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Fluskey, Mike. Daily Mail business computing guide. London: Associated Newspapers, 1986.

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Erwin, G. J. Business computing: An African perspective. Kenwyn: Juta & Co., 1996.

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Book chapters on the topic "Business computing"

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Locker, Yvonne. "Computing in the office." In Business Skills, 58–78. London: Macmillan Education UK, 1994. http://dx.doi.org/10.1007/978-1-349-13273-7_5.

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Zhu, Xiaoming, Bingying Song, Yingzi Ni, Yifan Ren, and Rui Li. "Cloud Computing—From Offline Computing to Cloud Computing." In Business Trends in the Digital Era, 23–42. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1079-8_2.

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Wirtz, Bernd W. "Cloud Computing und Big Data." In Electronic Business, 245–58. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30712-7_9.

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Appius, Dominik, Roger Andreas Probst, and Kim Oliver Tokarski. "Edge Computing und Industrie 4.0." In Digital Business, 305–34. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32323-3_13.

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ZusammenfassungDurch die industrielle, digitale Transformation, insbesondere durch die Vernetzung von Fertigungsanlagen, wird zusehends eine sehr große Datenmenge in der Schweizer Fertigungsindustrie generiert. Viele Daten bleiben dabei lokal (oft) ungenutzt oder werden über weite Transportwege an zentrale Rechenzentren zur Analyse gesendet. Vor diesem Hintergrund stellt sich die Frage, wie Daten so genutzt werden können, dass lange Transportwege entfallen und zeitgleich, durch die Verarbeitung dieser Daten, Wissen generiert werden kann. Dieser Beitrag liefert erste Antworten auf der Basis von empirischen Erkenntnissen, welche durch Befragungen von Anbietern, Beratungsunternehmen und Fertigungsunternehmen im Bereich Edge Computing durchgeführt wurden. Dabei liefert die vorliegende Studie Erkenntnisse in den Bereichen technisches Verständnis, Geschäftsmodelle und Anwendungsszenarien sowie praktische Umsetzungen im Sinne von Pilotierungen und Rollouts als Proof of Concept.
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Barton, Thomas. "Cloud Computing." In E-Business mit Cloud Computing, 41–52. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-8348-2426-4_4.

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Seruga, Jan, and Ha Jin Hwang. "Cloud Computing for Business." In Software and Network Engineering, 119–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28670-4_11.

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Strømmen-Bakhtiar, Abbas, and Amir R. Razavi. "Cloud Computing Business Models." In Computer Communications and Networks, 43–60. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2236-4_3.

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van Dongen, Boudewijn F. "Efficiently Computing Alignments." In Business Process Management Workshops, 44–55. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11641-5_4.

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Sethi, Anand Kumar. "Computers and Computing." In The Business of Electronics, 61–86. New York: Palgrave Macmillan US, 2013. http://dx.doi.org/10.1057/9781137323385_6.

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Gronau, Norbert, and Corinna Fohrholz. "Mobiles Business mit ERP." In Mobile Computing, 53–64. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12029-0_4.

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Conference papers on the topic "Business computing"

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Masiyev, Khayyam H., Ilkin Qasymov, Vusale Bakhishova, and Mammad Bahri. "Cloud computing for business." In 2012 6th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2012. http://dx.doi.org/10.1109/icaict.2012.6398514.

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Liang, Xun. "CRM business cloud computing." In the 2011 International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2071639.2071665.

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"Computing in business and finance." In ITI 2008 - 30th International Conference on Information Technology Interfaces. IEEE, 2008. http://dx.doi.org/10.1109/iti.2008.4588404.

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"Computing in business and finance." In Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces (ITI). IEEE, 2009. http://dx.doi.org/10.1109/iti.2009.5196062.

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Krishnan, K. Ananth. "Business Drivers for Services Computing." In 2006 IEEE International Conference on Services Computing. IEEE, 2006. http://dx.doi.org/10.1109/scc.2006.29.

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Marston, S., Zhi Li, S. Bandyopadhyay, and A. Ghalsasi. "Cloud Computing - The Business Perspective." In 2011 44th Hawaii International Conference on System Sciences (HICSS 2011). IEEE, 2011. http://dx.doi.org/10.1109/hicss.2011.102.

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Baharum, Aslina, Shaliza Hayati A. Wahab, Rozita Ismail, Nur Shahida Ab Fatah, Noor Fzlinda Fabeil, and Noorsidi Aizuddin Mat Noor. "Social Computing Through Business-based." In the 2018 International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3293663.3293664.

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"Computing in business and finance." In 28th International Conference on Information Technology Interfaces, 2006. IEEE, 2006. http://dx.doi.org/10.1109/iti.2006.1708457.

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Zhao, Yujing, Dianfu Ma, Yongwang Zhao, and Zhuqing Li. "Integrating Business Processes and Business Rules." In 2011 IEEE Asia-Pacific Services Computing Conference (APSCC). IEEE, 2011. http://dx.doi.org/10.1109/apscc.2011.17.

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Gordon, B., and F. Coles. "Business And Computing-Bridging the Gap." In Annual Technical Meeting. Petroleum Society of Canada, 1997. http://dx.doi.org/10.2118/97-86.

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Reports on the topic "Business computing"

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Seybold, Patricia. Amazon's Other Business: Cloud Computing. Boston, MA: Patricia Seybold Group, April 2010. http://dx.doi.org/10.1571/bs04-15-10cc.

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Rummel, E. Advanced Simulation and Computing Business Plan. Office of Scientific and Technical Information (OSTI), July 2015. http://dx.doi.org/10.2172/1243020.

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Abell, Thomas, Husar Arndt, and May-Ann Lim. Cloud Computing as a Key Enabler for Digital Government across Asia and the Pacific. Asian Development Bank, June 2021. http://dx.doi.org/10.22617/wps210196-2.

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Governments are responding to rapid change and growing demands by citizens and businesses by accelerating the digitalization of public services. They are updating their e-government capabilities, adding new digital tools and services, augmenting their data analytics capabilities, and putting in place digital economy development plans. Many of these changes are enabled by cloud computing technologies that have become commonplace in the digitally connected world. The rapidly scalable computing resources that cloud computing delivers via the internet bring cost benefits, improve agility, ensure resilience, and provide access to the latest solutions that digital technology can offer.
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Abell, Thomas, Arndt Husar, and Lim May-Ann. Cloud Computing as a Key Enabler for Tech Start-Ups across Asia and the Pacific. Asian Development Bank, July 2021. http://dx.doi.org/10.22617/wps210253-2.

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New enterprises that produce digital solutions for businesses, public institutions, civil society, and consumers play a vital role in shaping digital economies. These dynamic start-ups most effectively integrate leading talent and sources of capital. They are driven by an urgency to succeed quickly—if they do not, they will then seek to deploy skills and resources more effectively. Governments need to establish or refine policies and mechanisms that foster vibrant start-up ecosystems, enabled by foundational technologies such as cloud computing. This paper provides an overview of the opportunities and challenges involved and suggests how policymakers can help start-ups make the most of cloud-computing technologies.
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Information Management Architecture for an Integrated Computing Environment for the Environmental Restoration Program. Volume 2, Interim business systems guidance. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/10188934.

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