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Framework for Enterprise-Wide E-Commerce Portal

Dalam dokumen Knowledge-Based Enterprise (Halaman 105-113)

As organizations develop enterprise-wide e-commerce portals we believe hat KM must play a key role (von Lubitz & Wickramasinghe, 2006; Rosen, 2000). We highlight this in the framework we present in Figure 5. Our framework specifi- cally emphasizes integration of the many disparate e-commerce systems. Such an Enterprise-wide e-commerce portal is intended to offer a single focal centralized point for linking to a collection of applications, and a method for initiating processes

Figure 5. Framework for enterprise-wide e-commerce portal

Administration Security Load Balancing A pplication Integration Integrated e-portal

Middleware to convert into customized applications – contextualizing and dynamic profiling capabilities

Content Management – standards and interface with all protocols, multi-lingual features, messaging capabilities

Intelligence Capabilities – search agents, DSS, data mining, OLAP, and business intelligence

Portal gateway

Universal interface components – search, query, calendar, news, e- mail/chat

Databases: operational, analytic, knowledge Intranets/Extranets Internet/ Web

Enterprise integration

application (EIA)

Suppliers Customers

that transcend multiple systems. In an integrated portal, users can go to one place and perform searches across disparate repositories such as a Lotus Notes database, Microsoft Exchange public folders, Web sites, file systems, databases, and a col- lection of other repositories (Ceri & Bongio, 2000; Hille, 2001; Retter & Calyniuk, 1998; Stehle, 2001). Portal’s core functions include e-mail, group calendaring and scheduling, shared folders/databases, threaded discussions, and custom application development to support B2C and B2B business models. Furthermore such a portal should include all of the following capabilities: (1) workflow and routing of docu- ments; (2) discussion threads; (3) User-chat sessions; (4) dynamic group and team creation; (5) interactive collaboration, including video, voice, and application sharing;

(6) cross-repository searching; (7) business intelligence; (8) CRM; (9) discussion threads; (10) document management; (11) e-mail; (12) ERP; (13) online chats; (14) personal and group calendar; (15) reporting; (16) sales-force automation. All of these capabilities can be grouped into broad categories such as database design, messag- ing technologies, supply chain, multilingual content, security solutions, electronic payment systems, content management, middleware and knowledge management and thus the framework evolves as depicted in Figure 5.

Current Web pages in general and especially current medical Web-portals and on-line databases such as Medline provide the decision maker with voluminous informa- tion that he/she must then synthesize to determine relative and general relevance;

i.e., they are passive in nature. In contrast, we suggest that a “smart” portal (Figure 4.6a) that enables the possibility to access the critical information rapidly is more useful and should be the future of portal design (von Lubitz & Wickramasinghe, 2006). Sequential knowledge generation is achieved by the decision maker initiat- ing a search from the smart portal and receiving the necessary germane knowledge pertaining to that request, where this germane knowledge is generated by utilizing the intelligence capabilities of the smart portal (Figure 6b) and hence provides as- similated and synthesized information that is relevant and structured in a useable fashion to the decision maker. Thus, the smart portal is active and provides the decision maker or effector with relevant data, information, and knowledge so he or she does not need to determine the relevance of relative pieces of information and knowledge rather only needs to apply the knowledge and information to make a sound decision.

Other design elements unique to the smart portal (Figures 6a and 6b) include the ability to navigate well through the system (i.e., the smart portal must have a well structured grid map to identify what information is coming from where, or what information is being uploaded to where). In order to support the ability of the smart portal to bring all relevant information and knowledge located throughout the system to the decision maker there must be universal standards and protocols that ensure the free flowing and seamless transfer of information and data; the ultimate in shared services. Finally, given the total access to the system provided by the smart portal to the decision maker it is vital that the highest level of security protocols

Figure 6a. Smart portal

Figure 6b. Intelligence capabilities of the smart portal

SMART PORTAL

Security &

standards/protocols Cartography/

Grid map

Input from grid

Output to grid Real-time

processing of gathered information

Intelligent DSS capabilities

Effector activities:

Databases:

operational, analytic, knowledge to support DSS functions

Access to specific node

Intranets/

Extranets

Internet/ Web The Intelligence Capabilities from

Artificial Intelligence and Business Analytics

documents

are maintained at all times; thereby ensuring the integrity of the system at all times.

The smart portal provides us with a vision of the future and serves to underscore the confluence of ERP, e-business, and knowledge management. Moreover, it is important to stress that while ERP and e-business techniques are necessary for its correct functioning, it is through the incorporation of the techniques of knowledge management that the true power of the portal can be realized.

Chapter Summary

The myriad business processes together constitute the business infrastructure of an organization. Current management initiatives such as TQM, BPR, SCM, and CRM are aimed at trying to ensure these processes are more effective and efficient.

Contemporaneously, growth in B-to-B ecommerce is necessitating even faster and hyper efficient and effective flows of information, while the advent of ERP has ne- cessitated re-evaluation of traditional “back-end” business functions. Organizations spend millions of dollars trying to design and develop more effective and suitable business process however, without an understanding the role of knowledge in these processes or the utilization of the data, information and knowledge generated by various business processes, all attempts at making business processes will be sub- optimal. The tools and techniques of knowledge management must be applied in conjunction with any or all these initiatives before organizations can maximize the full benefit of their business infrastructure and ensure that they are in fact design- ing and implementing value-adding process. All initiatives such as TQM, BPR, SCM, and CRM will never be truly successful unless they incorporate knowledge management.

References

Afuah, A., & Tucci, C. (2003). Internet business models and strategies. Boston:

McGrawHill.

Barsky, N. P., & Ellinger, A. E. (2001). Unleashing the value in the supply chain.

Strategic Finance, 82(7), 32-37.

Bashein, B. J., Markus, M. L., & Riley, P. (1994). Preconditions for BPR success:

And how to prevent failures. Information Systems Management, 11(2), 7-13.

Berwick, D. M., Godfrey, A. B., & Roessner, J. (1990). Curing health care: New strategies for quality improvement. San Francisco: Jossey-Bass Publishers.

Bickert, J. (1997). Cohorts II: A new approach to market segmentation. Journal of Consumer Marketing, 14(4-5), 362-380.

Birkhead, B. (1999). Behavioral segmentation systems: A perspective. Macon Consulting Ltd. Retrieved from http://www.crm-forum.com/library/macon/

macon-002/brandframe.html

Birkhead, N., & Schirmer, R. (1999). Add value to your supply chain. Transporta- tion & Distribution, 40(9), 51-60.

Caron, M., Jarvenpaa, S. L., & Stoddard, D. B. (1994, September). Business reen- gineering at CIGNA Corporation: Experiences and lessons learned from the first five years. MIS Quarterly, 233-250.

Ceri, S. P. F., & Bongio, A. (2000). Web modeling language (WebML): A modeling language for designing Web sites. Computer Networks, 33(1-6), 137-157.

Chablo, E. (2000). The importance of marketing data intelligence in delivering successful CRM. SmartFOCUS Ltd. Retrieved from http://www.crm-forum.

com/library/ven/ven-017/ven-017_clean.htm

Checkland, P. (1999). Systems thinking, systems practice. Chichester, UK: Wiley.

Checkland, P., & Scholes, J. (1990). Soft systems methodology. Chichester, UK:

Wiley.

Chen, Y. T., & Jeng., B. A. (2000). Customer segmentation mining system on the Web platform. America’s Conference on Information Systems, Long Beach, CA. Omnipress.

Collier, J. C. (1992, August). Becoming empowered through TQM. Quality Digest, 29-34.

Collins, A. (1990, May/June). Quality control as a model for education: It would improve our output. Engineering Education, 470-471.

Corbett, C. J., Blackburn, J. D., & Wassenhove, L. N. V. (1999). Partnerships to improve supply chains. Sloan Management Review, 40(4), 71-82.

Cox, J. (2000). E-commerce changing the face of databases. Network World, 17(31), 38.

Davenport, T. H. (1993). Process innovation. Boston: Harvard Business School Press.

Davenport, T. H. (1994, July). Reengineering: Business change of mythic propor- tions? MIS Quarterly, 121-127.

Davenport & Prusak. (1998). Working knowledge. Boston: Harvard Business School Press.

Davenport, T. H., & Beers, M. C. (1995). Managing information about processes.

Journal of Management Information Systems, 12(1), 57-80.

Davenport, T. H., & Short, J. E. (1990, Summer). The new industrial engineering:

Information technology and business process redesign. Sloan Management Review, 11-27.

Dewan, R., Jing, B., & Seidmann, A. (1999). One-to-one marketing on the Internet.

The 20th International Conference on Information Systems, Charlotte, North Carolina. Omnipress.

Earl, M. J., Sampler, J. L., & Short, J. E. (1995). Strategies for business process reengineering: Evidence from field studies. Journal of Management Informa- tion Systems, 12(1), 31-56.

Evans, P., & Wurster, T. (1999). Strategy and the new economies of information. In D. Tapscott (Ed.), Creating value in the networked economy. Boston: Harvard Business Press.

Flood, R. (1999). Rethinking the fifth discipline. London: Routledge.

Freeman, L. (1998, January). Net drives B-to-B to new highs worldwide. NetMar- keting.

Hammer, M., & Champy, J. (1994). Re-engineering the corporation. Sydney: Al- len & Unwin.

Hille, E. (2001). The 10 rules for evaluating an e-mail management solution.

Customer Inter@Ction Solutions, 19(8), 50-54.

Hymas, J. (2001). Online marketing: Segmentation and targeted customer strategies for the Web. Macon Consulting Ltd. Retrieved from http://www.crm-forum.

com/library/macon/macon-008/brandframe.html

Jiang, P. (2000). Segment-based mass customization: An exploration of a new con- ceptual marketing framework. Internet Research, 10(3), 215-226.

Jones, G. (2001). E-mail management technologies: A purchaser’s primer.

Customer Inter@Ction Solutions, 19(8), 56-59.

Kalakota, R., & Robinson, M. (2001). e-Business 2.0. Boston: Addison Wesley.

Kaufman, R. (1991, December). Toward total quality “Plus.” Training, 50-54.

Ko, D., Kirsch, L., & King, W. (2005). Antecedents of knowledge transfer from consultants to clients in enterprise systems implementations. MIS Quarterly, 29(1), 59-85.

KPMG. (2001). Customer relationship management: Delivering value through sales, marketing, and services. KPMG Consulting. Retrieved from http://www.

kpmgconsulting.com/library/pdfs/c2103_CRMWP.pdf

MacLeod, M. (2000). Language barriers. Supply Management, 5(14), 37-38.

Marshak, R. T. (1999). The many faces of marketing automation. Complementary - not competitive - technologies. E-Business Strategies & Solutions, 28-31.

Meister, F., Patel, J., & Fenner, J. (2000). E-commerce platforms mature.

Informationweek, 809, 99-108.

Meltzer, M. (2002). Segment your customers based on profitability. Applied Management Technologies. Retrieved from http://www.crm-forum.com/li- brary/art/art-160/

Norris, G. et al. 2000. E-business and ERP, Pricewaterhousecoopers. Chichester, UK: John Wiley & Sons.

Retter, T., & Calyniuk, M. (1998). Technology forecast. Pricewaterhouse.

Rosen, M. (2000). Enterprise portals: A single point of access to corporate data.

Software Magazine, 20(5), 22-24.

Rowley, J. (2000). The reverse supply-chain impact of current trends.

Logistics and Transport Focus, 2(6), 27-31.

Schoonmaker, M. (2001). Opinion: Rosettanet standards provide full e-biz process architecture, Ebn; Manhasset; Issue 1253, pp. PG 43, Mar 12.

Schumacher, E. (2001). Collaborative logistics. Traffic World, 265(8), 29.

Senge, P. (1990). The fifth discipline. New York: Random House.

Shappiro, C., & Verian, H. (1999). Information rules. Boston: Harvard Business School Press.

Sharma, S., Gupta, J., & Wickramasinghe, N. (2002). A framework for designing the enterprise-wide e-commerce portal for evolving organizations. Electronic Commerce Research, submission.

Shutub, A. (1999). Enterprise resource planning. Boston: Kluwer Academic Pub- lishing.

Simchi-Levi, D., et al. (2000). Designing & managing the supply chain. Boston:

Irwin McGraw-Hill.

Stehle, D. (2001). System performance depends on middleware. Material Handling Management, 56(2), ADF4-ADF6.

Talley, B., & Mitchell, L. (2000). Which product should you choose to quickly develop a database-driven commerce site? InfoWorld, 22(38), 82.

Timmers, P. (1999). Electronic commerce. Chichester, UK: John Wiley.

Turban, E. et al. 2000. Electronic commerce. Upper Saddle River, NJ: Prentice Hall.

von Lubitz, D., & Wickramasinghe, N. (2006). Networkcentric healthcare: The entry point into the network (forthcoming). In A. Tattnall (Ed.), Encyclopaedia of Portal Technology and Applications. Hershey, PA: Idea Group Publishing.

Webb, J., & Gile, C. (2001). Reversing the value chain. The Journal of Business Strategy, 22(2), 13-17.

Weil, P., & Broadbent, M. (1998). Leveraging the new infrastructure. Boston:

Harvard Business Press.

Westland, C., & Clark, T. (1999). Global electronic commerce. Cambridge: MIT Press.

Womack, J., & Jones, D. (1996). Lean thinking. New York: Simon-Schuster.

Yaman, B. (2001). Web systems management means managing business processes.

Communications News, 38(5), 14.

Endnote

1 Refer to http://www.ge.com/sixsigma/ for complete details on Six Sigma at GE.

Chapter V

The Organization’s

Dalam dokumen Knowledge-Based Enterprise (Halaman 105-113)