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

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

Modeling a Longitudinal Relational Research Data System

A study was conducted to propose a research-based model for a longitudinal data research system that addressed recommendations from a synthesis of literature related to: (1) needs reported by the U.S. Department of Education, (2) the twelve mandatory elements that define federally approved state longitudinal data systems (SLDS), (3) the constraints experienced by seven Midwestern states toward providing access to essential educational and employment data, and (4) constraints reported by experts in data warehousing systems. The review of literature investigated U.S. government legislation related to SLDS and protection of personally identifiable information, SLDS design and complexity, repurposing business data warehouse systems for educational outcomes research, and the use of longitudinal research systems for education and employment outcomes. The results were integrated with practitioner experience to derive design objectives and design elements for a model system optimized for longitudinal research. The resulting model incorporated a design-build engineering approach to achieve a cost effective, obsolescence-resistant, and scalable design. The software application has robust security features, is compatible with Macintosh and PC computers, and is capable of two-way live connections with industry standard database hardware and software. Design features included: (1) An inverted formal planning process to connect decision makers and data users to the sources of data through development of local interactive research planning tools, (2) a data processing module that replaced personally identifiable information with a system-generated code to support the use of de-identified disaggregate raw data across tables and agencies in all phases of data storage, retrieval, analysis, visualization, and reporting in compliance with restrictions on disclosure of personally identifiable information, (3) functionality to support complex statistical analysis across data tables using knowledge discovery in databases and data mining techniques, and (4) integrated training for users. The longitudinal research database model demonstrates the result of a top down-bottom up design process which starts with defining strategic and operational planning goals and the data that must be collected and analyzed to support them. The process continues with analyzing and reporting data in a mathematically programmed, fully functional system operated by multiple level users that could be more effective and less costly than repurposed business data warehouse systems

Approaches to integrated strategic/tactical forest planning

Traditionally forest planning is divided into a hierarchy of planning phases. Strategic planning is conducted to make decisions about sustainable harvest levels while taking into account legislation and policy issues. Within the frame of the strategic plan, the purpose of tactical planning is to schedule harvest operations to specific areas in the immediate few years and on a finer time scale than in the strategic plan. The operative phase focuses on scheduling harvest crews on a monthly or weekly basis, truck scheduling and choosing bucking instructions. Decisions at each level are to a varying degree supported by computerized tools. A problem that may arise when planning is divided into levels and that is noted in the literature focusing on decision support tools is that solutions at one level may be inconsistent with the results of another level. When moving from the strategic plan to the tactical plan, three sources of inconsistencies are often present; spatial discrepancies, temporal discrepancies and discrepancies due to different levels of constraint. The models used in the papers presented in this thesis approaches two of these discrepancies. To address the spatial discrepancies, the same spatial resolution has been used at both levels, i.e., stands. Temporal discrepancies are addressed by modelling the tactical and strategic issues simultaneously. Integrated approaches can yield large models. One way of circumventing this is to aggregate time and/or space. The first paper addresses the consequences of temporal aggregation in the strategic part of a mixed integer programming integrated strategic/tactical model. For reference, linear programming based strategic models are also used. The results of the first paper provide information on what temporal resolutions could be used and indicate that outputs from strategic and integrated plans are not particularly affected by the number of equal length strategic periods when more than five periods, i.e. about 20 year period length, are used. The approach used in the first paper could produce models that are very large, and the second paper provides a two-stage procedure that can reduce the number of variables and preserve the allocation of stands to the first 10 years provided by a linear programming based strategic plan, while concentrating tactical harvest activities using a penalty concept in a mixed integer programming formulation. Results show that it is possible to use the approach to concentrate harvest activities at the tactical level in a full scale forest management scenario. In the case study, the effects of concentration on strategic outputs were small, and the number of harvest tracts declined towards a minimum level. Furthermore, the discrepancies between the two planning levels were small

Understanding employee resourcing in construction organizations

In recent years the literature on employee resourcing has consistently advocated the importance of adopting a holistic, strategic approach to employee deployment decision making rather than adopting a reactive needs-based approach. This is particularly problematic in construction where the multi-project environment leads to constantly changing resource requirements and to changing demands over a project's life cycle. This can lead to inappropriate decisions, which fail to meet the longer-term needs of both construction organizations and their employees. A structured and comprehensive understanding of the current project team deployment practices within large construction organizations was developed. Project deployment practices were examined within seven case study contracting firms. The emergent themes that shaped the decision-making processes were grouped into five broad clusters comprising human resource planning, performance/career management, team deployment, employee involvement and training and development. The research confirms that a reactive and ad hoc approach to the function prevails within the firms investigated. This suggests a weak relationship between the deployment process and human resource planning, team deployment, performance management, employee involvement and training and development activities. It is suggested that strategic HR-business partnering could engender more transparent and productive relationships in this crucial area

Current barriers and possible solutions to effective project team formation and deployment within a large construction organisation

The characteristics of the construction industry present an extremely challenging context for effective human resource management (HRM). The dynamic project-based nature of the industry results in extreme fluctuations in organisations’ workloads and requires teams to form, develop and disband relatively quickly. Thus, the importance of efficient management of employee resourcing activities cannot be understated. This paper reports on the findings of research which explored employee resourcing practices within large UK construction firms. The results suggest that managers currently attempt to carry out some strategic planning with regards to employee resourcing, but that this does not necessarily translate into effective operational practice which simultaneously takes account of organisational, project and individual employee needs. A new approach for more effective employee resourcing decision-making, based on encouraging the involvement of the employees in the deployment process, is put forward as a management tool which informs effective team formation and deployment. However, this will require the acceptance of both decision-support technology and of employee input into what is currently a tacit, management-oriented decision process

Beyond Goldwater-Nichols

This report culminated almost two years of effort at CSIS, which began by developing an approach for both revisiting the Goldwater-Nichols Department of Defense Reorganization Act of 1986 and for addressing issues that were beyond the scope of that landmark legislation

A strategic framework for e-government adoption in public sector organisations

E-government has been recognized as a change agent for public sector reform. Through this change, the public sector organisation plans to increase operating efficiencies, build information-sharing partnerships and improve communication with other organisations, as well as with the public. Several studies have discussed how e-government will transform public sector organisations from traditional paper-based systems to electronic delivery that leads self-service operations that develop efficiently managed internal business process. However, a number of voids exist in the immature e-government literature, regarding its adoption strategy and process. This paper looks at the implementation aspect of e-government in public sector organisations. The paper critically reviews the issues of e-government adoption and identifies factors that affect the implementation process, such as, technical, organisational, and environmental. In addition, the authors discuss the benefits and barriers that might influence the decision making process toward the adoption of e-government in public sector. Since, e-government is an emerging research area, there is limited literature explaining the framework of e-government adoption. Therefore, this study suggests a strategic framework for e-government adoption that will assist decision makers in public sector organisations to support their egovernment adoption strategy and guide the IT developers for implementation process of e-government project

The integration approach: Integrating technology strategy with business strategy in the airline industry

Technology has emerged as a key component in solving complex strategic issues. Much of the relevant literature recognises technology as the driving force behind the fast rate of change in many markets. Consequently, organisations are becoming increasingly dependent on advanced technology to improve their performance. At the same time organisations need to be extremely flexible in order to meet the demands of customers quickly, accurately and cost-effectively. To benefit from the potential of technology in highly dynamic environments, there is a need to integrate technology strategy with business strategy. This research explores the integration between technology strategy and business strategy in the airline industry. The literature on technology, technology strategy, corporate strategy, business strategy, competitive advantage and the integration of technology strategy with business strategy is critically evaluated and shortcomings of the literature are identified. The literature review was evaluated and identifies gaps and possible future directions. This indicated a need for a systematic way of linking technology and business strategies. Thus an Integration Model is proposed consisting of three stages involving business strategy, competitive strategy and technology strategy. The literature review and the Integration Model identified the importance of technology assessment in formulating a technology strategy and the need for a supportive tool to aid this process

Enterprise Risk Management: Review, Critique, and Research Directions

© 2014 Elsevier Ltd. Many regulators, rating agencies, executives and academics have advocated a new approach to risk management: Enterprise Risk Management (ERM). ERM proposes the integrated management of all the risks an organization faces, which inherently requires alignment of risk management with corporate governance and strategy. Academic research on ERM is still in its infancy, with articles largely in accounting and finance journals but rarely in management journals. We argue that ERM offers an important new research domain for management scholars. A critical review of ERM research allows us to identify limitations and gaps that management scholars are best equipped to address. This paper not only identifies how management scholars can contribute to ERM research, but also points out why ERM research (and practice) needs management research for its development