The Matching and Evolutionary Path Model of IT and Business Alignment Based on Dynamic Capabilities

2014 ◽  
Vol 519-520 ◽  
pp. 1463-1467
Author(s):  
Chao Su ◽  
Li Tao Zhang ◽  
Peng Fei Liu
Keyword(s):  
Business Strategy ◽  
Path Dependence ◽  
Dynamic Capabilities ◽  
Strategic Alignment ◽  
Path Model ◽  
Maturity Model ◽  
Dynamic Feedback ◽  
Enterprise Information ◽  
Evolutionary Path ◽  
Business Alignment

The good match of IT and business is an important prerequisite to ensure business strategy and the value of enterprise information investments. With the intensive application of IT and the rapidly changing of environment, the match of IT and business should be more concerned about its dynamic characteristics and evolution law. Based on the research analysis of IT and business matching, the strategic alignment model (SAM model) and the business-IT strategic alignment maturity model (LAM model), the paper introduces the dynamic capabilities to build an IT and business matching and evolutionary path model under the action of dynamic capabilities. In the model, nine paths and four steps are proposed to describe the matching and evolution of IT and business. The roles of dynamic capabilities are explained in describing the matching and evolution paths, such as perception, capital-and technology path dependence, learning, dynamic feedback, resource restructuring and reconfiguration, team, coordination and innovation etc. It has a strong reference to the deep research of IT and business alignment, matching and evolutionary path and the enterprise information technology applications.

scholarly journals Perancangan Permainan Simulasi (Game Simulation) Untuk Menilai Tingkat Kematangan Strategi Teknologi Informasi terhadap Strategi Bisnis Dengan Metode IT Balanced Scorecard dan Maturity Model COBIT 4.1

2018 ◽  
Vol 3 (2) ◽  
pp. 111
Author(s):  
Agnes Karina Pritha Atmani
Keyword(s):  
Information Technology ◽  
Experiential Learning ◽  
Balanced Scorecard ◽  
Business Strategy ◽  
Strategic Alignment ◽  
Technology Strategy ◽  
Maturity Model ◽  
Maturity Level ◽  
Alignment Model ◽  
Game Simulation

Keselarasan strategi Teknologi Informasi terhadap strategi bisnis sangat dibutuhkan untuk mencapai tujuan bisnis. Pencapaian keselarasan strategi, sebagai suatu proses yang berkelanjutan, membutuhkan dukungan dari Top Management dan fungsi-fungsi lain dalam perusahaan. Penilaian kematangan tingkat keselarasan strategi TI terhadap strategi bisnis akan digunakan sebagai alat ukur untuk menilai tingkat keselarasan strategi TI terhadap strategi bisnis. Nilai tersebut akan digunakan sebagai langkah awal untuk tindakan perbaikan berkelanjutan.Penggunaan permainan simulasi merupakan gabungan dari dua metode experiential learning, yaitu simulasi (simulation) yang dapat melakukan peniruan dari suatu perilaku atau proses dan permainan (game) yang merupakan aktifitas yang kompetitif. Melaui Experiential Learning pengguna permainan dapat melakukan pembelajaran secara aktif dan memperoleh pengetahuan, pemahaman, dan pandangan baru mengenai suatu hal.Penilaian kematangan tingkat keselarasan strategi TI terhadap strategi bisnis akan mengacu pada konsep Strategic Alignment Model yang diperkenalkan oleh Henderson dan Venkatraman dan IT-Balanced Scorecard yang dikembangkan Grembergen dan Bruggen. Keduanya memberikan panduan mengenai model-model yang dapat diimplementasikan di perusahaan. Sedangkan penilaian kematangannya berdasarkan kriteria Maturity Model COBIT 4.1 (Control Objective on Information and related Technology) Kata kunci: Permainan Simulasi, Experiential Learning, Teknologi Informasi, Strategi TI, Strategi Bisnis, Strategic Alignment Model-Henderson & Venkatraman, IT-Balances Scorecard – Grembergen & Bruggen, dan COBIT 4.1 Maturity Model. AbstractThe alignment of Information Technology strategy with business strategy is important to achieve business objectives. Strategy alignment, as an ongoing process, requires support from Top Management as well as from other functions in the company. The assessment of maturity level on the alignment of Information Technology with business strategy becomes the measuring tool to assess the alignment of Information Technology strategy with business strategy. The score, then, will be used as starting point in accomplishing continuous repair action.The use of game simulation is a combination of two experiential learning methods, namely simulation that can perform the imitation of a behavior or process and game which is a competitive activity. Through Experiential Learning game users can actively learn and gain new knowledge, insights, and insights about things.The assessment of maturity level of the aligment of Information Technology with business strategy which applied Strategic Alignment Model concept introduced by Henderson and Venkatraman and IT-Balanced Scorecard by Grembergen and Bruggen. Both have given guidelines about several models that can be implemented at company. Moreover, in order to assess the maturity level, this research uses Maturity Model COBIT 4.1 (Control Objective on Information and related Technology.Keywords: Information Technology, Game Simulation, Experiential Learning, Information Technology strategy, Business strategy, Strategic Alignment Model-Henderson & Venkatraman, IT-Balanced Scorecard-Grembergen & Bruggen, and COBIT 4.1 Maturity Model.

scholarly journals Assessing The Maturity Level Of Information Technology Management Process In A Romanian Company

2014 ◽  
Vol 18 (3) ◽  
pp. 201 ◽  
Author(s):  
Minodora Ursacescu
Keyword(s):  
Information Technology ◽  
Business Strategy ◽  
Practical Implication ◽  
It Management ◽  
Management Approach ◽  
Management Process ◽  
Maturity Model ◽  
Maturity Level ◽  
Capability Maturity ◽  
Functional Perspective

Since the 1990s, organizations have gradually become involved in the transformation of their information technology (IT) management process. In order to determine the direction of IT development in correlation with business needs, a consolidated management approach is imposed. This paper aims to provide a comprehensive assessment of the maturity level of IT management process in an organization. For this purpose, an empirical study in a Romanian public service company was done by using the benchmarking technique and Capability Maturity Model to describe the maturity level of IT management process. Four benchmarking classes, including a number of 24 benchmarks, were taken into account to focus on the main key issues - IT management strategy and IT planning; alignment of business strategy, IT strategy, organizational structure, and IT infrastructure; and information systems security management. The study reveals that the IT management process is mainly focused on technological dimension and less on the managerial one. It was observed that IT managers have a low awareness of managerial skills in planning, organizing, controlling, and leading the IT activities. Practical implication of the study presents two major issues: 1) on one hand, the need to approach a transversal vision in managing the IT process by aligning it to a complex set of choices, reflecting both a strategic and functional perspective and, 2) on the other hand, this study may be useful for managers looking to improve management of the IT department as well as the quality of their services. The study also indicates specific recommendations to refine the IT management process of Romanian companies.

Optimized and Distributed Variant Logic for Model-Driven Applications

2015 ◽  
pp. 428-478
Author(s):  
Jon Davis ◽  
Elizabeth Chang
Keyword(s):  
Path Model ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Authorized User ◽  
Model Driven ◽  
Model Object ◽  
Data Framework ◽  
Application Logic ◽  
Distributed Execution ◽  
Original Application

The customization of Enterprise Information Systems (EIS) is expensive throughout its lifecycle, especially across an enterprise-wide distributed application environment. The authors' ongoing development of a temporal meta-data framework for EIS applications seeks to minimize these issues with the application model supporting the capability for end users to define their own supplemental or alternate application logic as what they term Variant Logic (VL). VL can be applied to any existing model object, defined by any authorized user, through modeling rather than coding, then executed by any user as an alternative to the original application logic. VL is also preserved during automated application updates and can also interoperate directly between similar model-based execution instances within a distributed execution environment, readily sharing the alternate logic segments. The authors also present an enhanced pre-processing architecture that optimizes the execution of Logic Variants to the same execution order of single path model logic.

Coordinating Enterprise Services and Data

2013 ◽  
pp. 241-274
Author(s):  
Keith R. Worfolk
Keyword(s):  
Data Management ◽  
Portfolio Management ◽  
Best Practice ◽  
Maturity Model ◽  
Data Governance ◽  
Enterprise Information ◽  
Capability Maturity ◽  
Architecture Framework ◽  
Master Data Management ◽  
Enterprise Soa

The critical inter-dependencies between Enterprise Services and Enterprise Data are often not given due consideration. With the advent of Cloud Computing, it is becoming increasingly important for organizations to understand the relationships between them, in order to formulate strategies to jointly manage and coordinate enterprise services and data to improve business value and reduce risk to the enterprise. Enterprise Services encompass Service-driven applications deployed on-premises in the enterprise data centers as well as in the Cloud for the “extended enterprise.” Enterprise Data Management encompasses the cross-application enterprise-level perspective of data in an information-sharing enterprise, and the critical business data that is created, maintained, enriched, and shared outside the traditional enterprise firewall. This chapter discusses and proposes best practice strategies for coordinating the enterprise SOA & EDM approaches for mutual success. Primary coordination aspects discussed include: Service & Data Governance, Master Data Management, Service-driven & EDM Architecture Roadmaps, Service Portfolio Management, Enterprise Information Architecture, and the Enterprise Data Model. It recommends a facilitative Service-driven Data Architecture Framework & Capability Maturity Model to help enterprises evaluate and optimize overall effectiveness of their coordinated Service-driven & EDM strategies.

Business Alignment in Agile/Virtual Enterprise Integration

2011 ◽  
pp. 26-54 ◽  
Author(s):  
Maria Manuela Cunha ◽  
Goran D. Putnik
Keyword(s):  
Business Strategy ◽  
Driving Force ◽  
Virtual Enterprise ◽  
Market Opportunity ◽  
Enterprise Integration ◽  
Business Alignment ◽  
Enterprise Model ◽  
Business Opportunities ◽  
The Right ◽  
Required Quality

The concept of strategic alignment between business strategy and technology is essential for improving competitiveness. The driving force of business is to fully satisfy customer needs with the right products/services, at the right price, and with the required quality and responsiveness in a global competitive market. In this context, by alignment we mean the actions to be undertaken to gain synergy between business, that is, a market opportunity, and the provision of the required product, with the required specifications, at the required time, with the lowest cost and with the best possible return. In this chapter we focus on a leading organizational model, the Agile/Virtual Enterprise model, characterized by a fast reconfigurability or adaptability face to the dynamically changing market and introduce the concept of a Market of Resources as the environment able to assure a permanent alignment of the networked structure with market. We also propose alignment strategies between business opportunities and the creation/reconfiguration of the Agile/Virtual Enterprise that is expected to meet that opportunity.

Optimized and Distributed Variant Logic for Model-Driven Applications

2018 ◽  
pp. 1023-1072
Author(s):  
Jon Davis ◽  
Elizabeth Chang
Keyword(s):  
Path Model ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Authorized User ◽  
Model Driven ◽  
Model Object ◽  
Data Framework ◽  
Application Logic ◽  
Distributed Execution ◽  
Original Application

The customization of Enterprise Information Systems (EIS) is expensive throughout its lifecycle, especially across an enterprise-wide distributed application environment. The authors' ongoing development of a temporal meta-data framework for EIS applications seeks to minimize these issues with the application model supporting the capability for end users to define their own supplemental or alternate application logic as what they term Variant Logic (VL). VL can be applied to any existing model object, defined by any authorized user, through modeling rather than coding, then executed by any user as an alternative to the original application logic. VL is also preserved during automated application updates and can also interoperate directly between similar model-based execution instances within a distributed execution environment, readily sharing the alternate logic segments. The authors also present an enhanced pre-processing architecture that optimizes the execution of Logic Variants to the same execution order of single path model logic.

A Study of Business Intelligence Strategy Development by Large Organizations

2019 ◽  
pp. 326-339
Author(s):  
Carmine Carmine Sellitto ◽  
Paul Hawking
Keyword(s):  
Business Intelligence ◽  
Business Strategy ◽  
Strategic Alignment ◽  
Important Predictor ◽  
Strategy Development ◽  
Informational Needs ◽  
Information Presentation ◽  
Case Study Approach ◽  
Study Approach

Organizations have adopted business intelligence solutions with a mixed degree of benefits. Some businesses highlight significant outcomes, while others identify limitations or shortfalls in the benefits derived. Notably, the alignment of business strategy with the adoption of business intelligence processes has been an important predictor of firms being able to achieve organizational wide benefits. The chapter uses a case study approach to document the informational needs achieved through aligning organizational strategy and the adoption of business intelligence solution at two distinct companies. The adoption approaches used by each firm, although different, reflect the important areas in which business intelligence is most useful—strategic alignment, governance, and information presentation.

Developing Business Aligned Knowledge Management Strategy

2011 ◽  
pp. 2631-2645
Author(s):  
El-Sayed Abou-Zeid
Keyword(s):  
Knowledge Management ◽  
Competitive Advantage ◽  
Business Strategy ◽  
Strategic Alignment ◽  
Strategic Choices ◽  
Knowledge Management Strategy ◽  
Knowledge Strategy ◽  
Alignment Model ◽  
Knowledge Strategies ◽  
The Relationship

With the growing awareness of the crucial role that knowledge can play in gaining competitive advantage, several issues with regard to knowledge management (KM) initiatives have challenged executives. The articulation of the relationship between an organization’s competitive strategy and its knowledge strategy is the most eminent. This chapter addresses the issue of how to align knowledge strategy with enterprise business strategy. Based on the premise that the realization of business value from KM investments requires alignment between business and knowledge strategies, the issue is addressed by developing a strategic alignment model for KM. This model, which is based on the Henderson-Venkatraman strategic alignment model, includes the external domains (opportunities/threat) and internal domains (capabilities/arrangements) of both business (B-) and knowledge (K-) strategies and the relationships between them. Furthermore, it provides alternative strategic choices. The model is used to study a KM initiative at Buckman Laboratories.

A Conceptual Model for Aligning IT Valuation Methods

2010 ◽  
Vol 1 (3) ◽  
pp. 36-54 ◽  
Author(s):  
J. Gilbert Silvius
Keyword(s):  
Conceptual Model ◽  
Business Strategy ◽  
Organizational Context ◽  
Strategic Alignment ◽  
Valuation Methods ◽  
It Alignment ◽  
Valuation Method ◽  
Business And It Alignment ◽  
The Relationship

The relationship between IT and value is complex and often disputed. Researchers and practitioners have created numerous models and valuation methods to capture this value. Although payoffs from IT investment are a function of strategic alignment, most of these models do not address the alignment of business and IT as a factor that influences or creates value. This paper explores the role of business and IT alignment in the valuation methods of IT assets and investments. It focuses on the impacts resulting from the use of IT assets, considering the function and nature of the impacts. It also explores the alignment of IT valuation and business strategy. The paper is concluded with the construction of a comprehensive selection model that provides guidance for aligning the IT valuation method with the specific characteristics, impacts and organizational context of an IT asset or investment.

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