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The primary purpose of this study is to examine the effect that information system capability had on e‐business information technology (IT) implementation strategy; and to understand how the quality of the implementation process for IT strategy could affect e‐business performance.

This study performed a survey of chief information officers from 1,000 major firms in Taiwan. Structural equation modelling (SEM) was used to test for the validity of research hypotheses.

Results showed that the capability of information systems could have a direct and significant effect on the quality of IT strategy implementation, and how the quality of this process could affect e‐business performance.

Every organization hopes to improve corporate competitiveness and transform its enterprise through the effective implementation of IT strategy. This study examined how information systems capability could affect the implementation of enterprise IT strategy. However, since large firms in Taiwan are the primary research subjects of this study, the conclusions may not be applicable to enterprises in different countries or cultures. Future studies could examine the subject from the three aspects of technology, organization, and environment to understand the effect that each of these aspects has on e‐business information systems capability.

With the rapid development of information technology, the introduction of innovative strategy dealing with IT has become an important topic of research, and has become a focus in the era of e‐business. As a result, organizations feel it is important to discover the shortcomings in information system capability factors that must be improved from the individual, group, or organization levels, and develop appropriate implementation frameworks for IT strategy based on this foundation.

This study uses empirical analysis to examine the effect that the capability of information systems has on the quality of implementation of IT strategy. A compilation of relevant literature showed that most studies have focused on conceptual frameworks or have examined the question of IT strategy from the level of technology. Few studies have examined the effect that information system capability has on IT implementation strategy. Therefore, the results and findings of this study could provide an important reference for IT strategy implementation, in the era of e‐business.

Information technology often provides a manufacturing‐based competitive advantage. Information technology can assist manufacturing firms in developing their strategic roles. Discusses a continuum of four strategic roles of the contribution of information technology in manufacturing firms. Any enhancement of manufacturing firm’s competitive position tends to take place through systematic movement from one stage to an adjacent one, with the ultimate objective of becoming a world‐class manufacturer. Draws on a strategic alignment model of manufacturing management and information technology, which is defined in terms of four domains of strategic choice, i.e. the structure and infrastructure of manufacturing strategy, and the structure and infrastructure of information technology ‐ each with its own constituent dimensions. Conceptualizes the model in terms of two fundamental characteristics of strategic management: strategic fit (the interrelationships between structural and infrastructural domains) and functional integration (integration between manufacturing and information technology functional domains). Implementation of information technology is through cross‐domain alignment via strategic fit and functional integration. Examines the implementation of MRP (material requirement planning) and JIT (just‐in‐time) in relation to this strategic alignment model.

Without effective implementation, no information technology (IT) strategy can succeed. There has been much re-search into IT planning, but few studies have developed one of the most important phases of IT strategy: IT Implementation. IT implementation can be improved at information and communication technology (ICT) organizations through the use of organization learning models (OLM) and the implementation of ICT tools. This paper has two purposes define an OLM framework that determines the best practices to increase knowledge at individual, group and/organizational levels, and define and implement an ICT tool to facilitate the integration and institutionalization of the OLM. The ICT tool is based on the technology roadmapping technique that allows an organization to manage at an executive level what, when and how the IT strategy is going to be implemented.

This paper is based on a case study performed at an ICT organization that provides ICT services to financial institutions. The study was carried out in 2014. It analyzed over 24,000 projects, which translated into an equivalent of more than 18 million man-hours. The proposal was assessed at a very large ICT organization.

This paper proposes a framework called SPIDER to effectively implement OLMs based on Big Data management principles for monitoring and reporting current status of IT innovation strategies. These kinds of approaches contribute to solve the problems identified in the state-of-the-art regarding the communication and monitoring the implementation status of IT innovation strategies. During this research work, several factors that are essential to implement these kinds of approaches in large banking organizations were identified: effort required to elaborate the monitoring and reporting activities; easiness to understand the reported information; detailed planning of the implementation program; and focus on communication efficiency.

This paper determined the best practices to manage knowledge generated during the implementation of an IT strategy. Additionally, this paper defined and implemented an ICT tool to properly communicate and monitor the implementation of an IT innovation strategy, based on technological roadmap techniques.

The purpose of this paper is to propose and empirically test a unified framework that captures the antecedents of e-business implementation, that is; organizational factors which is decomposed into organizational capabilities (training availability, technical expertise, knowledge level), knowledge management capabilities (knowledge acquisition, application, and sharing), adhocracy culture, and top management support, e-business implementation, and organizational performance (efficiency, sales performance, customer satisfaction, relationship development).

Data from a survey of 258 top managers in Saudi Arabian enterprises were collected to empirically test the proposed research model. Additionally, the statistical techniques employed included a confirmatory factor analysis to examine the reliability and validity of the measurement model, and structural equation modeling using AMOS is utilized to test the hypotheses.

The findings of this study suggest that organizational factors influence e-business implementation. Moreover, e-business implementation affects organizational performance.

This study did not investigate all organizational factors and knowledge management processes. Future research could assess the influence of additional factors such as technology and environment contexts on e-business implementation.

Owners/managers considering e-business implementation would be best to focus on internal (organizational) factors and their interaction within and beyond the organization, rather than focussing exclusively on technological considerations.

This study is significant for at least two reasons: it determines the key antecedents to successful business implementation based on organizational factors and it helps to understand the effects of e-business implementation on organizational performance.

A well-designed supply chain performance measurement system, should account for not only the capabilities and performance attributes of the focal firm but also its supply chain partners. The purpose of this paper is to help design a system that strikes a balance between the strategic objectives of the focal firm and its supply partners vis-à-vis the requirements of supply chain performance (cost, quality, speed and customer taste).

A theoretical framework on the strategic supply chain performance measurement system is developed based on existing literature and subsequently tested using a survey on 136 successful manufacturing organizations in India. The organizations were clustered into three strategy types and compared using analysis of variance on ranks to look for differences in preference for performance parameters.

The study examined the five dimensions of the supply chain practices, namely, strategic supply/distribution network, customer relationship, internal operations, information sharing and social and environmental responsiveness. The empirical results demonstrate the inclusion of business strategy orientation in designing today’s supply chain and hence its performance measurement system. Not supported hypotheses were addressed in the light of contextual factors.

The study is confined to finding preferences of non-financial aspects of supply chain performance and tier-1 suppliers. The research helps better design and benchmark supply chain performance metrics, based on the strategic choice of the firm.

This paper highlights the shortcomings in the existing performance measurement and gaps in the existing literature in the supply chain context. Further, it gives a holistic view of strategic supply chain performance measurement design.

Traces progress in introducing information technology to support administrative and managerial functions in local education authorities and their schools since 1983. Notes the move towards preparing information technology implementation strategies and the somewhat belated recognition of the need for information management of the system. Outlines some likely areas of future difficulty.

This study argues that strategic information systems (SISs) are necessary for organizations’ survival and corporate performance in turbulent economic environments. Applying Miles and Snow’s strategy typology, the purpose of this paper is to explore how SIS supports business strategy and corporate performance.

This study uses quantitative survey data from 389 Brazilian companies during economic crises and analyzes them using structural equation modeling.

There is strong evidence that SIS promotes capacity and flexibility to create competitive strategies in response to environmental changes. SIS significantly and positively predicts firms’ use of prospector strategies, reducing the need to sacrifice efficiency for innovation. SIS can predict corporate performance more strongly than firms’ strategic orientations can.

The results provide organizations insights on how SIS enables strategic planning processes to create competitive strategy and improve performance during economic turbulence.

This research demonstrates SIS’s positive effects during economic turbulence on competitive strategy and performance, revealing that corporate performance is influenced more by SIS (strategic process) than strategic orientation (content). Hence, this study fills a research gap in the information systems strategy literature by contributing new insights about SIS.

In 2003 the authors investigated the level of adoption of e‐business by manufacturing firms in Europe. Four company strategies were identified based on different extents of adoption of internet‐based tools for interaction with customers and/or suppliers. The purpose of this paper is to replicate, those analyses using the new release of the International Manufacturing Strategy Survey (IMSS) IV. These new results are compared with previous ones in order to determine whether modeling previously described in the literature remains valid.

Data collected in Europe through IMSS III and IV are used. In particular, companies are clustered according to e‐business practices adopted in supply chain management (SCM) and the degree of adoption of e‐business between the two editions of the research is compared. A longitudinal analysis is also conducted using data from companies participating in both editions of the survey.

It is shown that the fundamental aspects of the modeling approach earlier proposed in the literature remain valid, with a higher average level of adoption of e‐business tools in the more recent edition of the study. However, the four‐cluster model is shown to be no longer valid. In the more recent dataset, three clusters emerge. They are characterized by different levels of adoption of e‐business, balanced between e‐commerce and e‐procurement. The longitudinal analysis shows that the firms participating in both editions of the research have changed their strategy, coherently to what the overall sample does.

This paper is focused on the assembly industry and only part of the sample is strictly longitudinal. Further research is needed to relate e‐business strategy with performance and to distinguish among the various tools available.

This paper also shows that the adoption of e‐business is increasing among small and medium firms, even if the practices adopted by any individual company remain limited. Results show that a cautious adoption is preferable to more radical implementation, since some firms have actually reduced their initial efforts to adopt e‐business.

The literature currently lacks extensive, longitudinal studies on e‐business strategies in SCM. The paper shows how the concept has rapidly evolved recently, and it modifies models that are proposed only a few years ago in the face of new data.

The present study aims to investigate the impact of organizational capabilities in the successful implementation of e-business. More specifically, the study proposes a three-dimensional conceptual framework, including “organizational learning capabilities”, “knowledge management capabilities” and “organizational readiness”. Such a multidimensional approach has randomly been explored in the existing literature, making the examination of the proposed conceptual framework an interesting research topic.

The proposed conceptual framework was tested on a sample of Greek companies with an online involvement. Information System executives were used as key respondents. The final sample consisted of 213 companies. The reliability and the validity of the newly developed questionnaire were thoroughly examined. Empirical data were analyzed using the “structural equation modeling” technique.

The results of the study reveal that “training availability”, “knowledge level” and “knowledge sharing” are the most significant factors for successfully implementing e-business. Moreover, “firm size” seems to be another important determinant. On the other hand, “technical expertise”, “knowledge accumulation” and “knowledge application” were not found to have a statistically significant impact on the implementation of e-business.

A limitation stemming from the implemented methodology is the use of self-report scales to measure the constructs of the proposed model. Moreover, the present paper lacks a longitudinal approach, as it is cross-sectional and provides a static picture of e-business implementation.

The paper makes an analytical effort to point out areas that companies should emphasize to successfully implement e-business and, therefore, harvest its potential benefits. Certain practical implications are offered in the final part of the paper.

The paper proposes an enhanced conceptual framework that examines vital issues concerning the successful implementation of e-business, thus providing valuable outcomes for decision-makers and academics. Moreover, the results of the study may be generalized in other developed countries whose economy faces similar significant challenges as Greece (e.g. Spain, Italy, Portugal, Ireland, etc.).

Attempts to propose an infrastructure of a supply chain information system, focusing on the component modules necessary for the building up of such a system with a description of the creation of these modules. The proposed supply chain information system embraces the concept of distributed object technology to enable efficient data exchange among various data objects which may reside in distributed platforms over geographically isolated regions, thereby leveraging the responsiveness of the supply chain network. The significance of contribution of this research is the provision of a cross‐platform data exchange system which is able to facilitate the formulation of a customer‐driven supply chain network, thereby enhancing the competitive edge of companies on a local and global basis.