A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Pandey, Abhinav
- Cloud Computing Implementation:An Analysis using Systems Approach
Authors
1 Department of Management, Dayalbagh Educational Institute, Dayalbagh, Agra, Uttar Pradesh, IN
Source
International Journal of Distributed and Cloud Computing, Vol 4, No 2 (2016), Pagination: 10-22Abstract
Cloud Computing is an emerging concept which envisage the usage of internet for deploying and delivering business application as pay per use model. Cloud computing is attractive for business owners because it eliminates the need for users to set up ahead for provisioning, and permits enterprises to begin from the little and increase resources only when an increase in demand.
However, despite the actual fact that cloud computing offers vast opportunities to the IT business, the event of cloud computing technology is presently at its infancy, with several problems still to be addressed. If cloud computing is to realize its potential, there has to be a transparent understanding of the varied problems concerned, each from the views of the suppliers and therefore the shoppers of the technology. There is associated equally pressing want for understanding the business-related problems regarding implementation of cloud computing.
Keywords
Cloud Computing, Flexible Systems Approach, Cloud Computing Implementation.References
- Abramson, D., Buyya, R., & Giddy, J. (2002). A computational economy for grid computing and its implementation in the Nimrod-G resource broker. Future Generation Computer Systems, 18(8), 1061-1074.
- Agarwal, R., & Lucas, H. (2005). The information systems identity crisis: Focusing on high-visibility and high-impact research, MIS Quarterly, 29, 3, 381-398.
- Alford, T., and Gwen, M. (2009). The Economics of Cloud Computing, Booz Allen Hamilton.
- Bloch, M., & Hoyos-Gomez, A. (2009). How CIOs should think about business value. McKinsey on Business Technology, Spring, 15, 28-37.
- Boulton, C. (2009). Oracle CEO Larry Ellison Spits on Cloud Computing Hype. eWeek.com, 11-14.
- Birman, K., Chockler, G., & Renesse R., (2009). Toward a cloud computing research agenda. ACM SIGACT News, (2009), 40(2), 68-80.
- Carr, N. G. (2005). The end of corporate computing. MIT Sloan Management Review, 46(3), 67-73.
- Danek, J. (2009). Cloud computing and the Canadian environment. Retrieved from http://www.elasticvapor. com/2009_10_01_archive.html
- Dean, J., & Chemawat, S. (2004). Mapreduce: Simplified data processing on large clusters. Proceedings of the 6th Conference on Symposium on Operating Systems Design & Implementation, USENIX Association, (pp. 10-10).
- Dubey, A., & Wagle, D. (2007). Delivering Software as a Service. The McKinsey Quarterly, May, 1-12.
- ENISA. (2009). Cloud computing: Benefits, risks and recommendations for information security. European
- Network and Information Security Agency.
- Gray, J. (2008). Distributed computing economics. ACM QUEUE, May/June, 6(3), 63-68.
- Hackett, S. (2008). Managed services: An industry built on trust. IDC.
- Horrigan, J. B. (2008). Cloud computing takes hold as 69% of all internet users have either stored data online or used a web-based software application. The Pew Internet & American Life Project, Pew Research Center.
- Kim, W. (2009). Cloud computing: Today and tomorrow. Journal of Object Technology, 8(1), 65-72.
- Mell, P., & Grance, T. (2009). The NIST Definition of Cloud Computing. National Institute of Standards and Technology, Version 15.
- Patel, P., Ranabahu, A., & Sheth, A. (2009). Service Level Agreement in Cloud Computing. Retrieved from http://corescholar.libraries.wright.edu/knoesis/78
- Roehrig, P. (2009). New market pressures will drive next-generation IT services outsourcing. Forrester Research Inc.
- Sangroya, A., Kumar, S., Dhok, J., & Varma, V. (2008). Various data security risks and an assessment approach in cloud computing environments. The 4th International Conference on Information Systems, Technology and Management.
- Staten, J. (2009). Hollow out the MOOSE: Reducing cost with strategic right-sourcing. Forrester Research, Inc.
- Conway, C. (2012). Managing cloud computing: A life cycle approach. 2nd International Conference, CLOSER 2012, Porto, Portugal, April 18-21.
- Tucker, L. (2009). Introduction to Cloud Computing for Startups and Developers. Sun Microsystems, Inc.
- Vouk, M. A. (2008). Cloud computing - Issues, research and implementations. Journal of Computing and Information Technology, 16(4), 235-246.
- Chen, Y., Paxson, V., & Katz, R. H. (2010). What’s new about cloud computing security? Proceedings of the 44th Hawaii International Conference on System Sciences Technical Report UCB/EECS Department, University of California, Berkeley, January.
- Curley, M. (2004). Managing Information Technology for Business Value: Practical Strategies for IT and Business Managers. Intel Press.
- Lindner, E. (2011). Understanding cloud requirements- A supply chain life cycle approach. 2nd International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2011), (pp. 20-25). Rome, Italy: IARIA.
- Grossman, R.L. (2009). The case for cloud computing. IT Professional, 11(2), 23-27.
- Valuation and Analysis of E-Business:With Special Reference to Amazon and eBay
Authors
1 Department of Management, Dayalbagh Educational Institute, Uttar Pradesh, IN
2 Department of Management, Dayalbagh Educational Institute, Uttar Pradesh,, IN
Source
Journal of Commerce and Accounting Research, Vol 8, No 1 (2019), Pagination: 8-20Abstract
For anyone involved in E-business and connected to the field of corporate finance, understanding the mechanism of an online business and its valuation is an indispensable requisite. This is not only because of the importance of valuation in acquisitions and mergers but also because the process of valuing a business and its units helps identify sources of economic value creation and destruction within the company.
Similarly, this value creation is affected by many a factors which are non-financial in nature and do not get incorporated while valuation. The firm, further goes through many a common mistake too and these are the result of relying upon the traditional practices and the methods.
Hence, need is to find out such factors and problematic contents that distorts the valuation and misinterpretation of the business and its financial position. The vigilance and expertise along with experience are the characteristics required to be with the financial analyst so as to avoid such blunders in financial analysis.
Keywords
E-Commerce, Valuation, Discounted Cash Flow (DCF) Analysis, Multiples Method, Market Valuation, Comparable Transactions Method.References
- Bonson, E., Escobar, T., & Flores, F. (2007). Issues in business valuation instruments. International Journal of Applied Research, 4(12), 167–200.
- Hasan, H., & Tibbits, H. R. (2000). Strategic management of electronic commerce: An adaptation of the balanced scorecard. Internet Research, 10(5), 439–450.
- Hiller, C. (2016, August 16). Home: E-commerce valuation: How much is my e-commerce business worth. Retrieved March 03, 2017 from FEInternational website: http;//feinternational.com/blog/e-commerce-valuation-how-much-is-my-e-commerce-business-worth/
- Jagannathan, S., Srinivasan, J., & Kalman, J. L. (2001). Internet commerce metrics. Upper Saddle River, NJ: Prentice Hall.
- Jöreskog, K. G., Sörbom, D., & Toit, S. D. (2000). LISREL 8: New statistical features. Lincolnwood, IL: Scientific Software International.
- Kauffman, J. R., & Walden, A. E. (2001, Summer). Economics and electronic commerce: Survey and directions for research. International Journal of Electronic Commerce, 5(4), 5.
- Kleist, V. F. (2003). An approach to evaluating e-business information system projects. Information Systems Frontiers, 5(3), 249–263.
- Lesjak, D., Vehovar, V., Seymour, T., & Sulčič, V. (2003). Economic evaluation and justification of e-business (Project) in Slovenia. Issues in Information Systems, 4(2), 549–555.
- Martinsons, M., Davison, R., & Tse, D. (1999). The balanced scorecard: A foundation for the strategic management of information systems. Decision Support Systems, 25, 71–88.
- Ngai, E. W. T., & Gunasekaran, A. (2004). Implementation of EDI in Honk Kong: An empirical analysis. Industrial Management & Data System, 104(1), 88–100.
- OECD. (2004). The economic impact of ICT: Measurement, evidence and implications. Paris: OECD Publications.
- Plant, R. T. E. (2000). E-commerce: Formulation of strategy. Upper Saddle River, NJ: Prentice Hall.
- Shah, M. (2011, May 24). Menu: E-Commerce business valuation. Retrieved March 04, 2017 from PacticalEcommerce: www.practicalecommerce.com/articles/10840-eCommerce-Business-Valuation.
- Websites
- http://economictimes.indiatimes.com/news/economy/policy/valuation-process-challenges-in-execution-udaykotak/articleshow/42632145.cms
- http://www.rbi.org.in/scripts/BS-SpeechesView.aspx?Id=862/
- www.sisplet.org/ris/ris/vnosi/Upload/uploadFiles/epo-slovanje1.pdf
- http://mrvar.fdv.uni-lj.si/pub/mz/mz18/coender2.pdf www.optimizemag.com/issue/007/pr_financial.html
- http://www.e-consultancy.com/news-blog/363388/amazon-bans-zlio-from-selling-itsproducts.
- http://www.entrepreneur.com/magazine/entrepreneur/2008/july/194428.html
- Developing Interpretive Structural Model of Consumer Responsiveness Towards Advertisement
Authors
1 Department of Management, Dayalbagh Educational Institute, Agra, Uttar Pradesh, IN
2 Department of Management, Dayalbagh Educational Institute, Dayalbagh, Agra, Uttar Pradesh, IN
Source
International Journal of Business Analytics and Intelligence, Vol 6, No 2 (2018), Pagination: 24-35Abstract
Consumer responsiveness is highly dynamic and volatile in nature. In past studies, there have been numerous variables identified however soon it was understood that the final implication of communication on responsiveness is consequence of interaction and connection between these elements. Marketers in present world have been facing challenges in terms of understanding the relationship between these elements. This study will focus, explore and explain how the marketing of the product can be made more effective and efficient. This study becomes more important because it categorise the critical factors thus making things easier to plan for better marketing of the product. This study explains the sequential approach of marketing with relevance of each of the factor. This study will quantify level of exposure of advertisement that compel consumer to buy product. The methodology focuses on ISM modelling to identify and summarizing relationship between various specific variables, defining the problem. This technique is best suited to deal with the complex situation and finding out their solution. In the present study, main focus would be on the different factors that are responsible for change in responsiveness of customer towards any advertisement. After review of various studies and customer opinion on the survey various factors will be identified and ISM modelling is done to predict relationship between various variables.Keywords
Consumer Responsiveness, Structural Self-Interaction Matrix, Level Partition, Interpretive Structural Modelling, MICMAC Analysis.References
- Crisp, R. (1987). Persuasive advertising, autonomy, and creation of desire. Journal of Business Ethics, 6, 413–418.
- Mick, D. G., & Buhl, C. (1992). A meaning based model for advertising experiences. Journal of Consumer Research, 19(93), 93–143.
- Barry, T. E., & Howard, D. J. (1990). A review and critique of the hierarchy of effects in advertising. International Journal for Advertising, 9(2), 121–135.
- Wijaya, B. S. (2012). The development of hierarchy of effects model in advertising. International Research Journal of Business Studies, 5(1), 73–85.
- Hassana, S., Nadzim, S. Z. A., & Shiratuddin, N. (2015). Strategic use of social media for small business based on the. Procedia, 172, 262–269.
- Ghirvu, A. I. (2013). The Aida model for advergames. The USV Annals, 13(1), 17.
- Rawal, M. P. (2013). AIDA marketing communication model: Stimulating a purchase. IJRSMS, 1(1), 2320–8236.
- Bagautdinova, N., Gafurov, I., Kalenskaya, N., & Novenkova, A. (2012). The regional development strategy based on territorial marketing. World Applied Sciences Journal, 18, 179–184.
- Li, J., & Yu, H. (2013). An innovative marketing model based on AIDA: A case from e-bank campus-marketing by China construction bank. iBusiness, 5(3B), 47–51.
- Singh, M. D., Shankar, R., Narain, R., & Agarwal, A. (2003). An interpretive structural modelling of knowledge managemnet in enginerring industries. Journal of Advances in Management Research, 1(10), 28–40.
- Fletcher, K. P., & Peters, L. D. (1997). Trust and direct marketing environments: A consumer perspective. Journal of Marketing Management, 13, 523–539.
- Chang, T. Z., & Wildt, A. R. (1994). Price, product information and purchase intention: An emperical study. Journal of the Academy of Marketing Science, 22(1), 16–27.
- Smith, R. E. (1993). Integrating information from advertising and trial: Processes and effects on consumer. American Marketing Association, 30(2), 204–219.
- Jin, H. S. (2003). Compounding consumer interest. The Journal of Advertisement, 32(4), 29–41.
- Holbrook, M. B., & Batra, R. (1987). Assessing the role of emotions as mediators of consumer responses to advertising. The Journal of Consumer Research, 14(3), 404–420, 1987.
- Wells, V. K. (2014). Behavioural psychology, marketing and consumer behaviour: A literature review and future research agenda. Durham Research Online, 30(11–12), 1119–1158.
- Kardes, F. R., Posavac, S. S., & Cronley, M. L. (2004). Consumer inference: A review of processes, bases, and judgment contexts. Journal of Consumer Psychology, 14(3), 230–256.
- Morris, E. C., & Holbrrok, B. (1982). The experiential aspects of consumptions: Consumer fantasies, feelings and fun. The Journal Consumer Research, 9(2), 132–140.
- Bargh, J. A. (2002). Losing conciousness: automatic influences on consumer judgment, behaviour and motivation. The Journal of Consumer Research, 29(10), 93–153.
- Pfohl, H. C., Gallus, P., & Thomas, D. (2011). Interpretive structural modelling of supply chain risk. International Journal of Physical Distribution & Logistics Management, 41(9), 839–859.