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In Handbook of Dynamic System Modeling (FISHWICK P, Ed.), Chapter 7, CRC Press, Boca Raton, Florida.\nHunt JW and Mcilroy MD (1975) An algorithm for differential file comparison computing Science Technical Report, No. 41, Bell Laboratories.\nKhuller S and Raghavachari B (1996) Graph and network algorithms. ACM Computing Surveys 28 (1), 43–45.\nKurtev I, Bezivin J, Jouault F and Valduriez P (2006) Model-based DSL frameworks. In Companion of the 21st Annual ACM SIGPLAN Conference on Object-Oriented Programming Systems, Languages, and Applications (OOPSLA) pp 602–616, Portland, Oregon.\nLedeczi Á, Bakay A, Maroti M, Volgyesi P, Nordstrom G, Sprinkle J and Kaisai G (2001) Composing domain-specific design environments. IEEE Computer 34 (11), 44–51.\nLin Y, Zhang J and Gray J (2005) A framework for testing model transformations. In Model-Driven Software Development (BEYDEDA S, BOOK M and GRUHN V, Eds), pp 219–236, Springer, Berlin, Germany.\nMAGICDRAW (2007) Magic Draw UML, http:\u002F\u002Fwww.magicdraw.com\u002F.\nMandelin D, Kimelman D and Yellin D (2006) A Bayesian approach to diagram matching with application to architectural models, In Proceedings of the 28th International Conference on Software Engineering (ICSE) pp 222–231, Shanghai, China.\nMehra A, Grundy J and Hosking J (2005) A generic approach to supporting diagram differencing and merging for collaborative design. In Proceedings of the 20th International Conference on Automated Software Engineering (ASE) pp 204–213, Long Beach, California.\nMETAEDIT+ (2007) MetaEdit+4.5 User's Guide, http:\u002F\u002Fwww.metacase.com.\nMicrosoft (2005) Visual Studio Launch: Domain-Specific Language (DSL) Tools: Visual Studio 2005 Team System, http:\u002F\u002Fmsdn.microsoft.com\u002Fvstudio\u002Fteamsystem\u002Fworkshop\u002FDSLTools.\nOhst D, Welle M and KELTER U (2003) Differences between versions of UML diagrams, In Proceedings of the European Software Engineering Conference\u002FFoundations of Software Engineering pp 227–236, Helsinki, Finland.\nROSE (2007) IBM Rational Rose, http:\u002F\u002Fwww-306.ibm.com\u002Fsoftware\u002Fawdtools\u002Fdeveloper\u002Frose\u002F.\nSendall S and Kozaczynski W (2003) Model transformation – the heart and soul of model-driven software development. IEEE Software 20 (5), 42–45.\nWang Y, Dewitt DJ and Cai J (2003) X-Diff: an effective change detection algorithm for XML documents. In Proceedings of the 19th International Conference on Data Engineering pp 519–530, Bangalore, India.\nXing Z and Stroulia E (2005) UMLDiff: an algorithm for object-oriented design differencing. In Proceedings of the 20th International Conference on Automated Software Engineering (ASE) pp 54–65, Long Beach, California.",{"EN":238},"Model differentiation techniques, which provide the capability to identify mappings and differences between models, are essential to many model development and management practices. There has been initial research toward model differentiation applied to Unified Modeling Language (UML) diagrams, but differentiation of domain-specific models has not been explored deeply in the modeling community. 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Journal of Personality and Social Psychology 51 (6), 1173–1182.\nBeimborn D, Franke J, Wagner H and Weitzel T (2006) Strategy matters: the role of strategy type for IT business value. In Proceedings of the 12th Americas Conference on Information Systems (CHIDAMBARAM L and RAM S, Eds), pp 588–597, Association for Information Systems, Atlanta.\nBernus P and Schmidt G (2006) Architectures of information systems. In Handbook on Architectures of Information Systems (BERNUS P, MERTINS K and SCHMIDT G, Eds), pp 1–9, Springer, Berlin.\nBoh WF and Yellin D (2006) Using enterprise architecture standards in managing information technology. Journal of Management Information Systems 23 (3), 163–207.\nBoh WF, Yellin D, Dill B and Herbsleb JD (2003) Effectively managing information systems architecture standards: an intra-organization perspective. In Proceedings of the MISQ Special Issue Workshop: Standard Making: A Critical Research Frontier for Information Systems (KING JL and LYYTINEN K, Eds), pp 171–187, Association for Information Systems, Atlanta.\nBuxmann P, Weitzel T, Westarp F and König W (1999) The standardization problem – an economic analysis of standards in information systems. In Proceedings of the 1st IEEE Conference on Standardization and Innovation in Information Technology (JAKOBS K and WILLIAMS R, Eds), IEEE, Piscataway, NJ.\nByrd TA and Turner ED (2000) Measuring the flexibility of information technology infrastructure: exploratory analysis of a construct. Journal of Management Information Systems 17 (1), 167–208.\nChin WW (1998) The partial least squares approach to structural equation modeling. In Modern Methods for Business Research (MARCOULIDES GA, Ed.), pp 295–336, Lawrence Erlbaum Associates, Mahwah, NJ.\nChin WW and Gopal A (1995) Adoption intention in GSS: relative importance of beliefs. 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In Proceedings of the 32nd Hawaii International Conference on System Sciences (SPRAGUE RH, Ed.), pp 7030–7046, IEEE Computer Society Press, Los Alamitos, CA.\nPulkkinen M (2006) Systemic management of architectural decisions in enterprise architecture planning: four dimensions and three abstraction levels. In Proceedings of the 39th Hawaii International Conference on Systems Science (SPRAGUE R, Ed.), p 179, IEEE Computing Society Press, Los Alamitos, CA.\nRajput VS (2004) The profession of the enterprise architect. Fawcette Technical Publications Online Article from 2004-05-20 [WWW document] http:\u002F\u002Fwww.ftponline.com\u002Fea\u002Fmagazine\u002Fspring\u002Fonline\u002Fvrajput_05_20_04 (last visited on 2007-09-25).\nRingle CM, Wende S and Will A (2005) SmartPLS 2.0. University of Hamburg [WWW document] http:\u002F\u002Fwww.smartpls.de.\nSassoon J (1998) Urbanisation des Systemes d’Information. 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McGraw-Hill, New York.\nWalbaum J (2005) Urbanisation of the information system. Efma(g) 197, 50–51.\nWold H (1982) Soft modeling: the basic design and some extensions. In Systems Under Indirect Observation: Causality, Structure, Prediction (JOERESKOG KG and WOLD H, Eds), Vol. 2, pp 1–54, North Holland, Amsterdam.\nZachman JA (1987) A framework for information systems architecture. IBM Systems Journal 26, 276–292.",{"EN":439},"Within the last decades, corporate information technology (IT) environments have approached considerable degrees of complexity. As a consequence, IT has become increasingly difficult to manage resulting in high costs and poor flexibility. Today, it is generally acknowledged that the sustainability of corporate IT environments can only be ensured through a continuous and long-term management on the level of the Enterprise (IT) Architecture (EA). To address this, many firms have implemented a dedicated Enterprise (IT) Architecture Management (EAM) function. 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Information Society 17 (2), 145–146.",{"EN":1202},"There is growing interest in the role and contribution of national information infrastructure (NII) to the quality of governance and the socio-economic development of nation states. In this paper, we use publicly available archival data to explore the relationships among NII, governance, and socio-economic development in developing countries. Results substantiate a significant relationship between NII and governance, and NII and socio-economic development. The findings suggest that NII have the capacity to contribute to country development, both directly (via impacts on socio-economic development) and indirectly (via its impacts on governance, which in turn influences socio-economic development).",{"EN":1204},"Information infrastructure, governance, and socio-economic development in developing countries",{"VOID":1206},"10.1057\u002Fejis.2008.56","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Ffull\u002F10.1057\u002Fejis.2008.56",[1209,1225,1241,1257],{"id":1210,"sortIndex":554,"researcher":20,"roles":1211,"affiliations":1212,"properties":1222},"51463010-7894-44c4-91d0-edb786852960",[250],[1213],{"id":20,"sortIndex":21,"affiliation":1214,"properties":20},{"id":1215,"createTime":1216,"updateTime":1216,"relativeEntities":1217,"slug":1218,"properties":1219,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"9b9ccd65-c91c-4e31-8e7a-9e4bb4e18901","2023-11-27T09:26:00.074+00:00",[],"College-of-Business-Southern-University-Baton-Rouge-U-S-A-",{"title":1220},{"VI":1221},"College of Business, Southern University, Baton Rouge, U.S.A.",{"title":1223},{"VI":1224},"Victor Mbarika",{"id":1226,"sortIndex":262,"researcher":20,"roles":1227,"affiliations":1228,"properties":1238},"b7fa4e8f-1ad0-44b1-8d9d-fe0ac72e0900",[250],[1229],{"id":20,"sortIndex":21,"affiliation":1230,"properties":20},{"id":1231,"createTime":1232,"updateTime":1232,"relativeEntities":1233,"slug":1234,"properties":1235,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"54b7ea43-1daf-44c9-93bb-fc9336281e33","2023-11-27T09:26:00.051+00:00",[],"School-of-Business-The-University-of-Alabama-at-Birmingham-USA",{"title":1236},{"VI":1237},"School of Business, The University of Alabama at Birmingham, USA",{"title":1239},{"VI":1240},"Philip Musa",{"id":1242,"sortIndex":248,"researcher":20,"roles":1243,"affiliations":1244,"properties":1254},"ec50378b-9e2a-423c-93c9-cd361c0cbefc",[250],[1245],{"id":20,"sortIndex":21,"affiliation":1246,"properties":20},{"id":1247,"createTime":1248,"updateTime":1248,"relativeEntities":1249,"slug":1250,"properties":1251,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"2e0a5846-3e30-49bb-a985-0201c19b4aca","2023-11-27T09:26:00.041+00:00",[],"J-Mack-Robinson-College-of-Business-Georgia-State-University-Atlanta-U-S-A-",{"title":1252},{"VI":1253},"J. 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Harvard Business Review 73(2), 692–703.\nRanganathan C and Ganapathy S (2002) Key dimensions of business-to-consumer Websites. Information and Management 39(6), 457–465.\nReibstein DJ (2002) What attracts customers to online stores, and what keeps them coming back? Journal of Academy of Marketing Science 30(4), 465–473.\nReichheld F and Schefter P (2000) E-Loyalty: your secret weapon on the Web. Harvard Business Review 78(4), 105–113.\nRowley J (1996) Retailing and shopping on the Internet. Internet Research: Electronic Networking Applications Policy and Policy 6(1), 81–91.\nSaeed KA, Grover V and Hwang Y (2005) An empirical investigation of e-commerce competence, customer value, and firm performance. Journal of Management Information Systems 22(1), 223–256.\nShafir E, Simonson I and Tversky A (1993) Reason-based choice. Cognition 49(1), 11–36.\nShemwell DJ, Yavas U and Bilgin Z (1998) Customer–service provider relationships: an empirical test of a model of service quality, satisfaction and relationship-oriented outcomes. International Journal of Service Industry Management 9(2), 155–168.\nSwaminathan V, Lepkowska-White E and Rao B (1999) Browsers or buyers in cyberspace? an investigation of factors influencing electronic exchange. Journal of Computer Mediated Communication 5(2), Available: at http:\u002F\u002Fwww.ascusc.org\u002Fjcmc\u002Fvol5\u002Fissue2\u002Fswaminathan.htm.\nThatcher JB and George JF (2004) Commitment, trust, and social involvement: an exploratory study of antecedents to Web shopper loyalty. Journal of Organizational Computing & Electronic Commerce 14(4), 243–268.\nTorkzadeh G and Dhillon G (2002) Measuring Factors that Influence the Success of Internet Commerce. Information Systems Research 13(2), 187–204.\nTracy B (1998) e-Tailing: what Web customers really want. Advertising Age's Business Marketing 83(11), 39–41.\nVan Der Heijden H, Verhagen T and Creemers M (2003) Understanding online purchase intentions: contributions from technology and trust perspectives. European Journal of Information Systems 12(1), 41–48.\nWan HA (2000) Opportunities to enhance a commercial Website. Information and Management 38(1), 15–21.\nWhite H (1980) A heteroskedastic-consistent covariance matrix estimator and a direct test of heteroskedasticity. Econometrica 48(4), 817–838.\nWolfinbarger MF and Gilly MC (2001) Shopping online for freedom, control, and fun. California Management Review 43(2), 34–55.\nWolfinbarger MF and Gilly MC (2003) eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing 79(3), 183–198.\nYang Z and Peterson RT (2004) Customer perceived value, satisfaction, and loyalty: the role of switching costs. Psychology & Marketing 21(10), 799–822.\nYang Z, Peterson RT and Cai S (2003) Services quality dimensions of Internet retailing: an exploratory analysis. Journal of Services Marketing 17(7), 685–700.\nZemke R and Connellan T (2001) E-Service: 24 Ways to Keep Your Customers – When the Competition is Just a Click Away. AMACOM, New York, NY.\nZeithaml VA, Parasuraman A and Malhotra A (2002) Service quality delivery through Web sites: a critical review of extant knowledge. Journal of Academy of Marketing Science 30(4), 362–375.",{"EN":1322},"E-business success is tied to the ability to foster customer loyalty. Businesses that deliver superior value derived from excellent services and quality products are likely to win customer loyalty. This paper examines Web-based services and the effects of three sets of factors: pre-purchase, transaction-related, and post-purchase services on customer loyalty (measured as repeat purchase intention from a given Web-based store) in a business-to-consumer environment. Based on the study's results, pre-purchase services that support search and evaluation of products replete in e-commerce systems have limited effect on customer loyalty. Among transaction-related services, transparency of the billing mechanism positively impacts customer loyalty. Customers shun any hidden costs associated with product acquisition. Post-purchase services consisting of support of order tracking, on-time delivery, and customer support positively influence customer loyalty. These findings imply that Web-based stores need to pay more attention to post-purchase services in their strategy to retain customers. This is what will keep customers satisfied and willing to continue the relationship with a company over the long term.",{"EN":1324},"An empirical study on Web-based services and customer loyalty",{"VOID":1326},"10.1057\u002Fpalgrave.ejis.3000652","2024-12-07T23:50:48.835+00:00","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Ffull\u002F10.1057\u002Fpalgrave.ejis.3000652",[1330,1345],{"id":1331,"sortIndex":21,"researcher":20,"roles":1332,"affiliations":1333,"properties":1342},"3a1a3bb2-a0f6-4966-be83-3058cbe2935f",[250],[1334],{"id":20,"sortIndex":21,"affiliation":1335,"properties":20},{"id":1336,"createTime":1337,"updateTime":1337,"relativeEntities":1338,"slug":20,"properties":1339,"entityType":65,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"6b170560-1763-4c2a-952a-13b893ccd9b9","2023-12-07T10:34:43.209+00:00",[],{"title":1340},{"VI":1341},"Department of Management, Clemson University, Clemson, 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B and King N (2008) Enacting computer workarounds within a medication dispensing system. European Journal of Information Systems 17 (3), 264–278.\nBoudreau M-C and Robey D (2005) Enacting integrated information technology: a human agency perspective. Organization Science 16 (1), 3–18.\nConstantinides P and Barrett M (2006) Large-scale ICT innovation, power, and organizational change: the case of a regional health information network. The Journal of Applied Behavioral Science 42 (1), 76–90.\nDeSanctis G and Poole MS (1994) Capturing the complexity in advanced technology use: adaptive structuration theory. Organization Science 5 (2), 121–147.\nEisenhardt KM (1989) Building theories from case study research. Academy of Management Review 14 (4), 532–550.\nEvered R and Louis MR (1981) Alternative perspectives in the organizational sciences: ‘inquiry from the inside’ and ‘inquiry from the outside’. Academy of Management Review 6 (3), 385–395.\nFerneley EH and Sobreperez P (2006) Resist, comply or workaround? An examination of different facets of user engagement with information systems. European Journal of Information Systems 15 (4), 345–356.\nGasser L (1986) The integration of computing and routine work. ACM Transactions on Office Information Systems 4 (3), 205–225.\nGerson EM and Star SL (1986) Analyzing due process in the workplace. ACM Transactions on Information Systems 4 (3), 257–270.\nGreenwood R and Hinings CR (1996) Understanding radical organizational change: bringing together the old and the new institutionalism. Academy of Management Review 21 (4), 1022–1054.\nInternational Finance Corporation (2009) Doing Business in the Arab World 2010. The International Bank for Reconstruction and Development\u002FThe World Bank, Washington, DC.\nInternational Monetary Fund (IMF) (2005) Lebanon: Report on observance of standards and codes-fiscal transparency module.\nKlein HK and Myers MD (1999) A set of principles for conducting and evaluating interpretive field studies in information systems. MIS Quarterly 23 (1), 67–94.\nKobayashi M, Fussell SR, Xiao Y and Seagull FJ (2005) Work coordination, workflow, and workarounds in a medical context. In CHI ‘05 Extended Abstracts on Human Factors in Computing Systems (Vander Veer Vrije G and Gale C, Eds) April, ACM, Portland, Oregon, USA.\nKoopman P and Hoffman RR (2003) Work-arounds, make-work, and kludges. IEEE Intelligent Systems 18 (6), 70–75.\nKunin CM (1993) Resistance to antimicrobial drugs – a worldwide calamity. Annals of Internal Medicine 118 (7), 557–561.\nLaPointe L and Rivard S (2005) A multilevel model of resistance to information technology implementation. MIS Quarterly 29 (3), 461–491.\nLee ASB (1989) A scientific methodology for MIS case studies. MIS Quarterly 13 (1), 33–50.\nLeonard-Barton D (1990) A dual methodology for case studies: synergistic use of a longitudinal single site with replicated multiple sites. Organization Science 1 (3), 248–266.\nMeyer JW and Rowan B (1977) Institutionalized organizations: formal structure as myth and ceremony. The American Journal of Sociology 83 (2), 340–363.\nNavarra DD (2010) The architecture of global ICT programs: a case study of e-governance in Jordan. Information Technology for Development 16 (2), 128–140.\nOrton JD and Weick KE (1990) Loosely coupled systems: a reconceptualization. Academy of Management Review 15 (2), 203–223.\nPatton KA (2002) Role of JCAHO standards and clinical practice guidelines in promoting appropriate antimicrobial use. American Journal of Health-System Pharmacy 59 (3), S16–S18.\nScott WR (2008) Institutions and Organizations: Ideas and Interests. Sage Publications, Thousand Oaks.\nSelznick P (1949) TVA and the Grass Roots. A Study of Politics and Organization. University of California Press, Berkeley.\nSelznick P (1996) Institutionalism ‘Old’ and ‘New’. Administrative Science Quarterly 41 (2), 270–277.\nStrauss A and Corbin JM (1998) Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Sage, Newbury Park.\nThe World Bank (1994) Memorandum of the President: Revenue Enhancement and Technical Assistance Project – LE3770. Lebanon.\nWagner EL and Newell S (2006) Repairing ERP: producing social order to create a working information system. Journal of Applied Behavioral Science 42 (1), 40–57.\nYin RKB (2003) Case study Research: Design and Methods. Sage Publications Inc, Thousand Oaks, California, USA.",{"EN":1507},"Information systems research often treats computer workarounds tangentially and as temporary phenomena. This exploratory research embraces anomalous system use in general and computer workarounds in particular by suggesting why the latter can be institutionalized and how they may be manifested in practice. Anomalous use is defined as sociomaterial actions around an IT artifact not consistent with its design or related official rules that nevertheless constitute system enactment in practice. The persistence of computer workarounds might be explained by the tension between top-down pressures from the external environment and bottom-up constraints from day-to-day operational work. These insights are drawn from an up-close study of workarounds in two cases from the Mediterranean region. The workaround practices involve decoupling and loose coupling, effectively creating ‘equilibrium’ between the aforementioned top-down and bottom-up influences. This may be attributed to parity between the influence exercised by external regulatory\u002Faccrediting bodies and the constraints of day-to-day work within the focal organization (i.e., work ethos, material constraints, and discretion to decouple). Our results show why some computer workarounds exhibit institutionalized behavior and their antecedent conditions. We also suggest that constituent workaround practices may exist as twin but distinctive behavioral patterns – non-compliance (or partial compliance) with an official rule and partially (or fully) working around designed systems.",{"EN":1509},"Institutionalized computer workaround practices in a Mediterranean country: an examination of two 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