lx Kaplan, S., & Sawhney, M. (2000). B2B e-commerce hubs: towards a taxonomy of business models. Harvard Business Review, 3, 97-103. Katz, M.L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. American Economic Review, 75(3), 424-440. Katz, M.L., & Shapiro, C. (1986). Technology adoption in the presence of network externalities. Journal of Political Economy, 94, 822-841. Kickul, J., & Gundry, L.K. (2001). Breaking through boundaries for organizational innovation: new PDQDJHULDOUROHVDQGSUDFWLFHVLQHFRPPHUFH¿UPVJournal of Management, 27(3), 347-361. Kim, K.C., Im, I. & Kang, M.S. (2005). The effects of IT on supply chain management in the automobile industry. In N. Shin, Strategies for Generating E-Business Returns on Investment (pp. 86-101), Hershey, PA: Idea Group Publishing. Kim, H.W., Chan, H.C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems, 43(1), 111-126. Kim, J., Lee, I., Lee, Y., Choi, B., Hong, S J., Tam, K.Y., Naruse, K., & Maeda, Y. (2004). Exploring e-business implications of the mobile internet: a cross-national survey in Hong Kong, Japan and Korea. International Journal of Mobile Communications, 2(1), 1-21. Kshetri, N. (2006). The Simple Economics of Cybercrimes, IEEE SECURITY & PRIVACY, 4(1), 33- 39. Koh, J., & Kim, Y.G. (2004). Knowledge sharing in virtual communities: an e-business perspective, Expert Systems with Applications, 26(2), 155-166. Kohavi, R., Mason, L., Parekh, R., & Zheng, Z. (2004). Lessons and challenges from mining retail e- commerce data. Machine Learning, 57(1/2), 83-113. Kozinets, R.V. (1999). E-tribalized marketing?: the strategic implications of virtual communities of consumption. European Management Journal, 17(3), 252-264. Kulviwat, S., Thaku, R., & Guo, C. (2006). an exploratory study of consumer adoption of online ship- ping: mediating effect of online purchase intention. International Journal of E-Business Research, 2(2), 68-82. Lee, M.K.O., & Turban, E. (2001). A trust model for consumer Internet shopping. International Journal of Electronic Commerce, 6(1), 75 - 91. Lee, C S. (2001). An analytical framework for evaluating e-commerce business models and strategies. Internet Research, 11(4), 349 - 359. Lee, S.C., Pak, B.Y., & Lee, H.G. (2003). Business value of B2B electronic commerce: the critical role RILQWHU¿UPFROODERUDWLRQElectronic Commerce Research and Applications, 2(4), 350-361. /L&/LQJ7$%DVLVIRUWKHVHPDQWLFZHEDQGHEXVLQHVVHI¿FLHQWRUJDQL]DWLRQRIRQWRO- ogy languages and ontologies. In A. Salam; J. Stevens, Semantic Web Technologies and E-Business: Toward the Integrated Virtual Organization and Business Process Automation (pp. 212-235), Hershey, PA: IGI Publishing. lxi Li, L., & Horrocks, I. (2004). A software framework for matchmaking based on semantic web technol- ogy. International Journal of Electronic Commerce, 8(4), 39-60. /L<//X/;XHIHQJ/$K\EULGFROODERUDWLYH¿OWHULQJPHWKRGIRUPXOWLSOHLQWHUHVWVDQG multiple-content recommendation in E-Commerce. Expert Systems with Applications, 28(1), 67 - 77. Liang, T.P., & and Huang, J.S. (1998). An empirical study on consumer acceptance of products in elec- tronic markets: a transaction cost model. Decision Support Systems. 24(1), 29–43. Lin, H.F., & Lee, G.G. (2005). Impact of organizational learning and knowledge management factors on e-business adoption. Management Decision, 43(2), 171 - 188. Lyytinen, K., & Yoo, Y. (2002). Research commentary: the next wave of nomadic computing. Informa- tion Systems Research,13(4), 377-388. Maamar, Z., Mostefaoui, S.K. & Mahmoud, Q.H. (2005). On personalizing web services using context. International Journal of E-Business Research, 1(3), 41-62. Macher J.T., Mowery D.C., & Simcoe T.S. (2002). e-Business and Disintegration of the Semiconductor Industry Value Chain. Industry and Innovation, 9(3), 155 - 181. Mahatanankoon, P., Wen, H.J., & B Lim, B. (2005). Consumer-based m-commerce: exploring consumer perception of mobile applications. Computer Standards & Interfaces, 27(4), 347-357. Mallat, N., & Dahlberg, T. (2005). Consumer and merchant adoption of mobile payment solutions. In T. Saarinen, M. Tinnila & A. Tseng, Managing Business in a Multi-Channel World: Success Factors for E-Business (pp. 32-50), Hershey, PA: Idea Group Publishing. Malone, T.W., Yates, J., & Benjamin, R.I. (1987). Electronic markets and electronic hierarchies. Com- munications of the ACM, 30(6), 484-497. McIvor, R. & Humphreys, P. (2005). The potential of b2b commerce for competitive advantage. In N. Shin, Strategies for Generating E-Business Returns on Investment (pp. 102-124), Hershey, PA: Idea Group Publishing. Meinert, D.B., Peterson, D.K., Criswell, J.R., & Crossland, M.D. (2006). Privacy policy statements and consumer willingness to provide personal information. Journal of Electronic Commerce in Organiza- tions, 4(1), 1-17. Misra, S.C., Kumar, V., & Kumar, U. (2007). An approach for intentional modeling of Web services security risk assessment. In G. Radhamani; G.S.V.R.K. Rao, Web Services Security and E-Business (pp. 363-379), Hershey, PA: IGI Publishing. Mobasher, B., Cooley, R., & Srivastava J. (2000). Automatic personalization based on Web usage min- ing. Communications of the ACM, 43(8), 142 - 151. Mulle-Lankenau, C., Wehmeyer, K., & Klein, S. (2005). Serving customers in a hybrid world: Multi-chan- nel strategies in retailing. In T. Saarinen, M. Tinnila & A. Tseng, Managing Business in a Multi-Channel World: Success Factors for E-Business (pp. 183-203), Hershey, PA: Idea Group Publishing. Nath, R., & Angeles, R. (2005). Relationships between supply characteristics and buyer-supplier coupling in e-procurement: An empirical analysis. International Journal of E-Business Research, 1(2), 40-55. lxii Nysveen, H., Pedersen, P.E., Thorbjornsen, H., & Berthon, P. (2005). Mobilizing the brand: The effects of mobile services on brand relationships and main channel use. Journal of Service Research, 7(3), 257-276. Oh, W. (2002). C2C versus B2C: A comparison of the winner’s curse in two types of electronic auctions. International Journal of Electronic Commerce, 6(4). 115 – 138. Ortega, B.H., Marinez, J.J., De Hoyos, M.J.M. (2008). The role of information technology knowledge in B2B development. International Journal of E-Business Research, 4(1), 40-54. Pant, S., & Ravichandran, T. (2001). A framework for information systems planning for e-business, Logistics Information Management, 14 (1/2), 85-98. Papazoglou, M.P. (2001). Agent-oriented technology in support of e-business. Communications of the ACM, 44(4), 71-77. Pollard, C,. & Diggles, A. (2006). The role of trust in business-to-business e-commerce collaboration in a unique environment in Australia. International Journal of E-Business Research, 2(3), 71-92. 5DJKXQDWKDQ00DGH\*5$¿UPOHYHOIUDPHZRUNIRUSODQQLQJHOHFWURQLFFRPPHUFH information systems infrastructure. International Journal of Electronic Commerce, 4(1), 121 - 145. Raisinghani, M.S., Herwick, L.B., Pullamsetti, R., Gunther, T.H., Caisan, V., Wang, A. & Koszut, A. (2005). E-business in the global automotive industry: key value propositions. In Y C. Lan, Global Information Society: Operating Information Systems in a Dynamic Global Business Environment (pp. 240-264), Hershey, PA: Idea Group Publishing. Raisinghani, M.S., Melemez, T., Zou, L., Paslowski, C., Kimvidze, I., Taha, S., & Simons, K. (2005). E-business models in B2B: Process based categorization and analysis of B2B models. International Journal of E-Business Research, 1(1), 16-36. Rayport, J.F., & Sviokla. J.J. (1995). Exploiting the virtual value chain. Harvard Business Review, 73(5), 75-85. Rosenbloom, B. (2007). Multi-channel strategy in business-to-business markets: Prospects and problems. Industrial Marketing Management, 36(1), 4-9. Ross, S. (1973). The economic theory of agency: The principal’s problem. American Economic Review, 63(2), 134-139. Sackmann, S., Strüker, J., & Accorsi, R. (2006). Personalization in privacy-aware highly dynamic sys- tems. Communications of the ACM, 49(9), 32 - 38. Schafer, B., Konstan, J. A., & Riedl, J. (2001). E-commerce recommendation applications. Data Min- ing and Knowledge Discovery, 5 (1/2), 115 - 153. 6KDSLUR&9DULDQ+5³9HUVLRQLQJ7KH6PDUW:D\WR6HOO,QIRUPDWLRQ´Harvard Busi- ness Review, 76 (November-December), 106-114. Sowa, J.F. & Zachman, J.A. (1992). Extending and formalizing the framework for information systems architecture. IBM Systems Journal, 31(3), 590-615. Srinivasan, R., Lilien, G.L., & Rangaswamy, A. (2002). Technological opportunism and radical technol- ogy adoption: An application to e-business. Journal of Marketing, 66(3), 47-60. lxiii Standing, C. (2002). Methodologies for developing Web applications. Information and Software Tech- nology, 44(3), 151-159. 6WHLQ¿HOG&:KLWWHQ3&RPPXQLW\OHYHOVRFLRHFRQRPLFLPSDFWVRIHOHFWURQLFFRPPHUFH Journal of Computer Mediated Communication. 5(2), Retrieved April 11, 2008, from: http://jcmc.indiana. HGXYROLVVXHVWHLQ¿HOGKWPl Strader, T., & Ramaswami, S., (2002). The value of seller trustworthiness in C2C online markets. Com- munications of the ACM, 45(12), 45-49. Tamma, V., Phelps, S., Dickinson, I., & Wooldridge, M. (2005). Ontologies for supporting negotiation in e-commerce. (QJLQHHULQJ$SSOLFDWLRQVRI$UWL¿FLDO,QWHOOLJHQFH, 18(2), 223-236. Tan, F.B., Lin, H.J., & Urquhart, C. (2006). An exploratory study of the design preferences of U.S. and Chinese virtual communities. International Journal of E-Business Research, 2(3), 46-70. Taylor, M., & Murphy, A. (2004). SMEs and e-business. Journal of Small Business and Enterprise Development, 11 (3), 280 - 289. Thomson, J. D. (2006). Impact of e-innovation on corporate procurement control: electronic market- places and broad spectrum changes. In F. Zhao, Entrepreneurship and Innovations in E-Business: An Integrative Perspective (pp. 261-287), Hershey, PA: Idea Group Publishing. Troshani, I., & Rao, S. (2007). Drivers and inhibitors to XBRL adoption: A qualitative approach to build a theory in under-researched areas. International Journal of E-Business Research, 3(4), 98-111. 7VD\$$$JUDZDO1&KDQQHOFRQÀLFWDQGFRRUGLQDWLRQLQWKHHFRPPHUFHDJHProduction and Operations Management, 13(1), 93–110. 8QKHONDU%*OREDOHEXVLQHVVDOOLDQFHVWKHVRFLRFXOWXUDOSHUVSHFWLYHVLQÀXHQFHDQGPLWLJD- tion. In Y C. Lan, Global Information Society: Operating Information Systems in a Dynamic Global Business Environment (pp. 94-112), Hershey, PA: Idea Group Publishing. Walczuch, R., & Lundgren, H. (2004). Psychological antecedents of institution-based consumer trust in e-retailing. Information & Management, 42(1), 159-177. Warkentin, M., Bapna, R., & Sugumaran, V. (2001). E-knowledge networks for inter-organizational collaborative e-business. Logistics Information Management, 14 (1/2), 149-163. Warrington, P., Gangstad, E., Feinberg, R., & de Ruyter, K. (2007). Multi-channel retailing and customer satisfaction: Implications for e-CRM. International Journal of E-Business Research, 3(2), 57-69. Weill, P., & Vitale, M. (2002). What IT infrastructure capabilities are needed to implement e-business models? MIS Quarterly Executive, 1(1), 17-34. Williamson, O.E. (1975). Markets and Hierarchies: Analysis and Antitrust Implications, New York: The Free Press. Williamson, O.E. (1979). Transaction-cost economics: The governance of contractual relations. Journal of Law and Economics, 22(2), 233-261. Williamson, O. E. (1985). The Economic Institutions of Capitalism. New York: The Free Press. lxiv World Wide Web Consortium (W3C) Extensible Markup Language. (2008). Retrieved June 20, 2008, from http://www.w3.org/XML World Wide Web Consortium (W3C) Web Services Activity Statement. (2008). Retrieved April 12, 2008, from http://www.w3.org/2002/ws/Activity Yau, W C., Rao, G.S.V., & Krishna, R. (2007). Web services security in e-business: attacks and coun- termeasures. In G. Radhamani; G.S.V.R.K. Rao, Web Services Security and E-Business (pp. 165-183), Hershey, PA: IGI Publishing. Yang, S.J.H., Hsieh, J.S.F., Lan, B.C.W., & Chung, J.Y. (2006). Composition and evaluation of trust- worthy web services. International Journal of Web and Grid Services, 2(1), 5-24. Yap, A. (2007). Planning and Designing an Enterprise-Wide Database System for E-Business. In A. Gunasekaran, Modelling and Analysis of Enterprise Information Systems (pp. 224-248), Hershey, PA: IGI Publishing. Yee, G., & Korba, L. (2005). Semiautomatic derivation and use of personal privacy policies in e-busi- ness. International Journal of E-Business Research, 1(1), 54-69. Zeng, C., Xing, C.X., Zhou, L.Z., & Zheng, X.H. (2004). Similarity measure and instance selection for FROODERUDWLYH¿OWHULQJInternational Journal of Electronic Commerce, 8(4), 115 - 129. Zhang, L-J., Chao, T., Chang H., & Chung, J-Y. (2003). XML-based advanced UDDI search mechanism for B2B integration. Electronic Commerce Research, 3(1/2), 25-42. Zhang, X. & Prybutok, V.R. (2005). A consumer perspective of e-service quality. IEEE Transactions on Engineering Management, 52(4), 461- 477. lxv About the Editor In Lee is an associate professor in the Department of Information Systems and Decision Sciences in the College of Business and Technology at Western Illinois University. He received his PhD from University of Illinois at Urbana-Champaign. He is a founding editor-in-chief of the International Journal of E-Business Research. He has published his research in such journals as Communications of the ACM, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Engineering Management, International Journal of Production Research, Computers and Operations Research, Computers and Industrial Engineering, Knowledge and Process Management, Business Process Management Journal, Journal of E-Commerce in Organizations, and International Journal of Simulation and Process Modeling. His current research interests include e-commerce technology development and management, investment strategies for computing technologies, and telecommunications planning and management. Section I Fundamental Concepts and Theories This section serves as the foundation for this exhaustive reference tool by addressing crucial theories es- sential to the understanding of human-computer interaction. Chapters found within these pages provide DQH[FHOOHQWIUDPHZRUNLQZKLFKWRSRVLWLRQKXPDQFRPSXWHULQWHUDFWLRQZLWKLQWKH¿HOGRILQIRUPDWLRQ science and technology. Individual contributions provide overviews of ubiquitous computing, cognitive LQIRUPDWLFVDQGVRFLRWHFKQLFDOWKHRU\ZKLOHDOVRH[SORULQJFULWLFDOVWXPEOLQJEORFNVRIWKLV¿HOG:LWKLQ this introductory section, the reader can learn and choose from a compendium of expert research on the elemental theories underscoring the research and application of human-computer interaction. 1 Copyright © 2009, IGI Global, distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 1.1 Identifying E-Business Options Albert Boonstra University of Groningen, The Netherlands Bert de Brock University of Groningen, The Netherlands INTRODUCTION The past few years, many organizations have been using the Internet in quite arbitrary and experi- mental ways. This phase, which can be considered as a period of learning and experimentation, has created a need for a more systematic approach WRWKHLGHQWL¿FDWLRQWKHRUGHULQJDQGWKHDVVHVV- ment of e-business options. It is the objective of this paper to address this need by presenting a methodology that aims at supporting management in using alternative e-business applications in the ¿UVWVWDJHRIWKHdecision-making process. Figure 1 shows how a systematic decision-mak- ing process can be organized by using e-business options. The steps are based on Simon’s intel- ligence, design, and choice trichotomy (Simon, 1960). First, alternative e-business options have WREHLGHQWL¿HGDQGRUGHUHG7KHQWKHSRVVLEOH options have to be assessed and selected. After this stage the selected opportunities have to be VSHFL¿HGDQGGHVLJQHG1H[WLPSOHPHQWDWLRQ operation, maintenance, and evaluation may IROORZ,Q)LJXUHWKLVLVFDOOHGWKH³IRUPDOOLIH F\FOH´:HZLOODSSO\WKHZRUG³HEXVLQHVVRSWLRQ´ referring to the possibility to use an electronic network for a business purpose. An e-business RSSRUWXQLW\LVGH¿QHGKHUHDVDQDVVHVVHGDQG selected e-business option. In practice, different intermediate feedback activities, interrupts, delays and adjustments are often necessary to reconsider earlier steps (Mintzberg, Raisinghani, & Théorêt, 1976). This is—among other reasons—because decision-mak- ing processes of this kind take place in dynamic environments and decisions are made in political contexts (Pettigrew, 2002). Moreover, participants in decision-making processes are often lacking the necessary information to make well-considered decisions right from the start (Miller, Hickson, & Wilson, 1996). In Figure 1 these activities are FDOOHG³LQWHUPHGLDWHIHHGEDFN´ 2 Identifying E-Business Options The methodology presented in this article IRFXVHVPDLQO\RQWKH¿UVWVWDJHRIWKHGHFLVLRQ making process: the LGHQWL¿FDWLRQRIHEXVLQHVV options and the ordering of these options. Further, the focus is only on e-business options in the context of an organization and its current or new external stakeholders. The methodology helps identify e-business options, describe them in a global way by speci- fying each option in six dimensions, and order them according to organization- dependent pri- orities. Only after management has assessed and VHOHFWHGDQRSWLRQFDQ WKLVRSWLRQEHVSHFL¿HG more precisely in order to design an application (see also Figure 1). This methodology aims at contributing to practice as well as to theory. Practitioners, such as (e-business) managers and (e-business) con- sultants, can use the methodology to identify and order e-business options in a systematic rather than an intuitive, imitating or precedent-based way. This methodology can also be used to chal- lenge certain e-business strategies or to consider unconventional alternatives. The contribution to theory is based on the fact that many existing e-business frameworks are directed at the assessment of certain e-business alternatives, but that general approaches address- LQJWKHLGHQWL¿FDWLRQRIHEXVLQHVVRSWLRQVIURP scratch, are still scarce. This argument will be explained in the next section. BACKGROUND Although Chung-Shing Lee’s contribution (2001) of providing a framework to evaluate e-commerce business models is useful, evaluation can only take SODFHDIWHUWKHLGHQWL¿FDWLRQRIRSWLRQVZKLFKLV the focus of this article. formal life cycle intermediate feedback Implementing, operating , m aintaining and evaluati ng e-business opportunities Assessing and selecting e-business options Specifying and designin g e-business opportunitie s Identifying and ordering e-business options F ocus of the article Figure 1. Focus of the article in the light of the desicionmaking context 3 Identifying E-Business Options Barua, Konana, Whinston, and Yin, (2001) introduce an e-business value model that supports management in determining where to deploy RUJDQL]DWLRQDOUHVRXUFHVE\KLJKOLJKWLQJVSHFL¿F areas of opportunity. Barua et al. also emphasize that organizations should not merely concentrate on the existing products or services. They sug- gest that the Internet may open up opportunities to reach new customers and to introduce new products or services. The ideas of Barua are in line with those of $ QV R I I Z K R L G H Q W L ¿H V S U RG X F W P D U NHW D U H D V to be focused on by organizations. Ansoff suggests that two important strategic questions of organi- zations are: (1) whether they should focus only on their existing markets and customers or also on new markets and customers, and (2) whether t h e y s h o u ld m e r e l y fo c u s o n e x i s t i n g p r o d u c t s a n d services or also on the development of new ones. With respect to e-business these two fundamental questions are highly relevant, since the Internet makes many organizations rethink their product- market combinations fundamentally. Therefore, these two questions are addressed in the approach as described in this article. Straub and Klein (2001) build on these ideas by stating that e-commerce can produce three FDWHJRULHV RI HIIHFWV ¿UVWRUGHU VHFRQGRUGHU and third-order effects. First-order effects in- volve reducing costs and increasing productivity. Second-order effects concern the pursuit of new markets and improving services, and third order effects lead to far-reaching transformations af- fecting goods and services, ways of targeting as well as distribution (Andal, Cartwright, & Yip, 2003). These issues are also addressed in the methodology as described in this article; they ZLOOEHLGHQWL¿HGH[SOLFLWO\ We can conclude that there are already a considerable number of models that can be used to assess and evaluate current e-business applica- tions and measure their readiness for the future. However, there seems to be a lack of approaches that can help analysts generate options and fu- ture directions regarding utilizing the Internet. The approach as described in this article aims at making suggestions with respect to how such a methodology could take form. METHODOLOGY Dimensions and Elements Organizations can use the Internet as a means of communication with the outside world in different ways. These different ways can be analyzed by distinguishing among the following dimensions: stakeholders groups, stakeholders’ statuses, chan- nel strategies, communication modes, product/ser- vice groups and product/service statuses. These dimensions are derived from the elemen- tary notion that organizations can be perceived as open systems. In order to survive, good rela- tions have to be established with parties in the outside world. For that reason, organizations exchange information to relevant parties in that outside world. These communications may lead to transactions. See Figure 2. In order to generate potential e-business op- WLRQVLWKDVWREHLGHQWL¿HGZLWKZKLFKSDUWLHV in the outside world the organization intends to exchange information. These can be current or new parties, since electronic networks can also be used to extend the reach of organizations. When WKLVRXWVLGHZRUOGKDVEHHQLGHQWL¿HGWKHZD\RI using electronic networks has to be considered. Here we can identify communication modes, chan- nel strategies and (current or new) products and services. These dimensions are further explained in the next paragraph. Dimension #1: (External) Stakeholders Groups Organizations exchange information and com- municate with all external stakeholders, who can be divided in business partners and other . & Lee, H.G. (2003). Business value of B2B electronic commerce: the critical role RILQWHU¿UPFROODERUDWLRQ Electronic Commerce Research and Applications, 2(4), 350-361. /L&/LQJ7$%DVLVIRUWKHVHPDQWLFZHEDQGHEXVLQHVVHI¿FLHQWRUJDQL]DWLRQRIRQWRO- ogy. 350-361. /L&/LQJ7$%DVLVIRUWKHVHPDQWLFZHEDQGHEXVLQHVVHI¿FLHQWRUJDQL]DWLRQRIRQWRO- ogy languages and ontologies. In A. Salam; J. Stevens, Semantic Web Technologies and E -Business: Toward the Integrated Virtual Organization and Business Process Automation. opportunism and radical technol- ogy adoption: An application to e-business. Journal of Marketing, 66(3), 47-60. lxiii Standing, C. (2002). Methodologies for developing Web applications. Information and