4 research outputs found

    An enterprise engineering approach for the alignment of business and information technology strategy

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    Information systems and information technology (IS/IT, hereafter just IT) strategies usually depend on a business strategy. The alignment of both strategies improves their strategic plans. From an external perspective, business and IT alignment is the extent to which the IT strategy enables and drives the business strategy. This article reviews strategic alignment between business and IT, and proposes the use of enterprise engineering (EE) to achieve this alignment. The EE approach facilitates the definition of a formal dialog in the alignment design. In relation to this, new building blocks and life-cycle phases have been defined for their use in an enterprise architecture context. This proposal has been adopted in a critical process of a ceramic tile company for the purpose of aligning a strategic business plan and IT strategy, which are essential to support this process. © 2011 Taylor & Francis.Cuenca, L.; Boza, A.; Ortiz, A. (2011). An enterprise engineering approach for the alignment of business and information technology strategy. International Journal of Computer Integrated Manufacturing. 24(11):974-992. https://doi.org/10.1080/0951192X.2011.579172S9749922411(1993). CIMOSA: Open System Architecture for CIM. doi:10.1007/978-3-642-58064-2Ang, J., Shaw, N., & Pavri, F. (1995). Identifying strategic management information systems planning parameters using case studies. International Journal of Information Management, 15(6), 463-474. doi:10.1016/0268-4012(95)00049-dAvison, D., Jones, J., Powell, P., & Wilson, D. (2004). Using and validating the strategic alignment model. The Journal of Strategic Information Systems, 13(3), 223-246. doi:10.1016/j.jsis.2004.08.002Avgerou, & McGrath. (2007). Power, Rationality, and the Art of Living through Socio-Technical Change. MIS Quarterly, 31(2), 295. doi:10.2307/25148792Bergeron, F., Raymond, L., & Rivard, S. (2004). Ideal patterns of strategic alignment and business performance. Information & Management, 41(8), 1003-1020. doi:10.1016/j.im.2003.10.004Bernus, P., Nemes, L., & Schmidt, G. (Eds.). (2003). Handbook on Enterprise Architecture. doi:10.1007/978-3-540-24744-9Bleistein, S. J., Cox, K., Verner, J., & Phalp, K. T. (2006). B-SCP: A requirements analysis framework for validating strategic alignment of organizational IT based on strategy, context, and process. Information and Software Technology, 48(9), 846-868. doi:10.1016/j.infsof.2005.12.001Buchanan, S., & Gibb, F. (1998). The information audit: An integrated strategic approach. International Journal of Information Management, 18(1), 29-47. doi:10.1016/s0268-4012(97)00038-8Buchanan, S., & Gibb, F. (2007). The information audit: Role and scope. International Journal of Information Management, 27(3), 159-172. doi:10.1016/j.ijinfomgt.2007.01.002Chen, D., & Vernadat, F. (2004). Standards on enterprise integration and engineering—state of the art. International Journal of Computer Integrated Manufacturing, 17(3), 235-253. doi:10.1080/09511920310001607087Chen, D., Doumeingts, G., & Vernadat, F. (2008). Architectures for enterprise integration and interoperability: Past, present and future. Computers in Industry, 59(7), 647-659. doi:10.1016/j.compind.2007.12.016Chen, H.-M., Kazman, R., & Garg, A. (2005). BITAM: An engineering-principled method for managing misalignments between business and IT architectures. Science of Computer Programming, 57(1), 5-26. doi:10.1016/j.scico.2004.10.002Cuenca, L., Ortiz, A., & Vernadat, F. (2006). From UML or DFD models to CIMOSA partial models and enterprise components. International Journal of Computer Integrated Manufacturing, 19(3), 248-263. doi:10.1080/03081070500065841Davis, G. B. (2000). Information Systems Conceptual Foundations: Looking Backward and Forward. IFIP Advances in Information and Communication Technology, 61-82. doi:10.1007/978-0-387-35505-4_5Gindy, N., Morcos, M., Cerit, B., & Hodgson, A. (2008). Strategic technology alignment roadmapping STAR® aligning R&D investments with business needs. International Journal of Computer Integrated Manufacturing, 21(8), 957-970. doi:10.1080/09511920801927148Goethals, F. G., Lemahieu, W., Snoeck, M., & Vandenbulcke, J. A. (2007). The data building blocks of the enterprise architect. Future Generation Computer Systems, 23(2), 269-274. doi:10.1016/j.future.2006.05.004Greefhorst, D., Koning, H., & Vliet, H. van. (2006). The many faces of architectural descriptions. Information Systems Frontiers, 8(2), 103-113. doi:10.1007/s10796-006-7975-xGregor, S., Hart, D., & Martin, N. (2007). Enterprise architectures: enablers of business strategy and IS/IT alignment in government. Information Technology & People, 20(2), 96-120. doi:10.1108/09593840710758031Hartono, E., Lederer, A. L., Sethi, V., & Zhuang, Y. (2003). Key predictors of the implementation of strategic information systems plans. ACM SIGMIS Database, 34(3), 41-53. doi:10.1145/937742.937747Henderson, J. C., & Venkatraman, H. (1993). Strategic alignment: Leveraging information technology for transforming organizations. IBM Systems Journal, 32(1), 472-484. doi:10.1147/sj.382.0472Hirschheim, R., & Sabherwal, R. (2001). Detours in the Path toward Strategic Information Systems Alignment. California Management Review, 44(1), 87-108. doi:10.2307/41166112Hoogervorst, J. A. P. (2009). Enterprise Governance and Enterprise Engineering. doi:10.1007/978-3-540-92671-9Johnson, A. M., & Lederer, A. L. (2010). CEO/CIO mutual understanding, strategic alignment, and the contribution of IS to the organization. Information & Management, 47(3), 138-149. doi:10.1016/j.im.2010.01.002JONKERS, H., LANKHORST, M., VAN BUUREN, R., HOPPENBROUWERS, S., BONSANGUE, M., & VAN DER TORRE, L. (2004). CONCEPTS FOR MODELING ENTERPRISE ARCHITECTURES. International Journal of Cooperative Information Systems, 13(03), 257-287. doi:10.1142/s0218843004000985King, W. R. (1978). Strategic Planning for Management Information Systems. MIS Quarterly, 2(1), 27. doi:10.2307/249104Leonard, J. (2007). Sharing a Vision: comparing business and IS managers’ perceptions of strategic alignment issues. Australasian Journal of Information Systems, 15(1). doi:10.3127/ajis.v15i1.299Luftman, J. N., Lewis, P. R., & Oldach, S. H. (1993). Transforming the enterprise: The alignment of business and information technology strategies. IBM Systems Journal, 32(1), 198-221. doi:10.1147/sj.321.0198Luftman, J., Ben-Zvi, T., Dwivedi, R., & Rigoni, E. H. (2010). IT Governance. International Journal of IT/Business Alignment and Governance, 1(2), 13-25. doi:10.4018/jitbag.2010040102Melville, Kraemer, & Gurbaxani. (2004). Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value. MIS Quarterly, 28(2), 283. doi:10.2307/25148636Newkirk, H. E., & Lederer, A. L. (2006). Incremental and Comprehensive Strategic Information Systems Planning in an Uncertain Environment. IEEE Transactions on Engineering Management, 53(3), 380-394. doi:10.1109/tem.2006.877446Noran, O. (2003). An analysis of the Zachman framework for enterprise architecture from the GERAM perspective. Annual Reviews in Control, 27(2), 163-183. doi:10.1016/j.arcontrol.2003.09.002Noran, O. (2005). A systematic evaluation of the C4ISR AF using ISO15704 Annex A (GERAM). Computers in Industry, 56(5), 407-427. doi:10.1016/j.compind.2004.12.005Ortiz, A., Lario, F., & Ros, L. (1999). Enterprise Integration—Business Processes Integrated Management: a proposal for a methodology to develop Enterprise Integration Programs. Computers in Industry, 40(2-3), 155-171. doi:10.1016/s0166-3615(99)00021-4Panetto, H., Baïna, S., & Morel, G. (2007). Mapping the IEC 62264 models onto the Zachman framework for analysing products information traceability: a case study. Journal of Intelligent Manufacturing, 18(6), 679-698. doi:10.1007/s10845-007-0040-xPapp, R. (Ed.). (2001). Strategic Information Technology. doi:10.4018/978-1-87828-987-2Peñaranda, N., Mejía, R., Romero, D., & Molina, A. (2010). Implementation of product lifecycle management tools using enterprise integration engineering and action-research. International Journal of Computer Integrated Manufacturing, 23(10), 853-875. doi:10.1080/0951192x.2010.495136Reich, B. H., & Benbasat, I. (2000). Factors That Influence the Social Dimension of Alignment between Business and Information Technology Objectives. MIS Quarterly, 24(1), 81. doi:10.2307/3250980Sledgianowski, D., & Luftman, J. (2005). IT-Business Strategic Alignment Maturity. Journal of Cases on Information Technology, 7(2), 102-120. doi:10.4018/jcit.2005040107Sowa, J. F., & Zachman, J. A. (1992). Extending and formalizing the framework for information systems architecture. IBM Systems Journal, 31(3), 590-616. doi:10.1147/sj.313.0590Van Grembergen, W., & De Haes, S. (2010). A Research Journey into Enterprise Governance of IT, Business/IT Alignment and Value Creation. International Journal of IT/Business Alignment and Governance, 1(1), 1-13. doi:10.4018/jitbag.2010120401Xueying Wang, Xiongwei Zhou, & Longbin Jiang. (2008). A method of business and IT alignment based on Enterprise Architecture. 2008 IEEE International Conference on Service Operations and Logistics, and Informatics. doi:10.1109/soli.2008.468649

    Global Retinoblastoma Presentation and Analysis by National Income Level.

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    Importance: Early diagnosis of retinoblastoma, the most common intraocular cancer, can save both a child's life and vision. However, anecdotal evidence suggests that many children across the world are diagnosed late. To our knowledge, the clinical presentation of retinoblastoma has never been assessed on a global scale. Objectives: To report the retinoblastoma stage at diagnosis in patients across the world during a single year, to investigate associations between clinical variables and national income level, and to investigate risk factors for advanced disease at diagnosis. Design, Setting, and Participants: A total of 278 retinoblastoma treatment centers were recruited from June 2017 through December 2018 to participate in a cross-sectional analysis of treatment-naive patients with retinoblastoma who were diagnosed in 2017. Main Outcomes and Measures: Age at presentation, proportion of familial history of retinoblastoma, and tumor stage and metastasis. Results: The cohort included 4351 new patients from 153 countries; the median age at diagnosis was 30.5 (interquartile range, 18.3-45.9) months, and 1976 patients (45.4%) were female. Most patients (n = 3685 [84.7%]) were from low- and middle-income countries (LMICs). Globally, the most common indication for referral was leukocoria (n = 2638 [62.8%]), followed by strabismus (n = 429 [10.2%]) and proptosis (n = 309 [7.4%]). Patients from high-income countries (HICs) were diagnosed at a median age of 14.1 months, with 656 of 666 (98.5%) patients having intraocular retinoblastoma and 2 (0.3%) having metastasis. Patients from low-income countries were diagnosed at a median age of 30.5 months, with 256 of 521 (49.1%) having extraocular retinoblastoma and 94 of 498 (18.9%) having metastasis. Lower national income level was associated with older presentation age, higher proportion of locally advanced disease and distant metastasis, and smaller proportion of familial history of retinoblastoma. Advanced disease at diagnosis was more common in LMICs even after adjusting for age (odds ratio for low-income countries vs upper-middle-income countries and HICs, 17.92 [95% CI, 12.94-24.80], and for lower-middle-income countries vs upper-middle-income countries and HICs, 5.74 [95% CI, 4.30-7.68]). Conclusions and Relevance: This study is estimated to have included more than half of all new retinoblastoma cases worldwide in 2017. Children from LMICs, where the main global retinoblastoma burden lies, presented at an older age with more advanced disease and demonstrated a smaller proportion of familial history of retinoblastoma, likely because many do not reach a childbearing age. Given that retinoblastoma is curable, these data are concerning and mandate intervention at national and international levels. Further studies are needed to investigate factors, other than age at presentation, that may be associated with advanced disease in LMICs

    Membrane Structure and Transport Systems

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