A Manual for Technology Acquisition Method Selection: The Three-dimensional Model of the Interaction of Factors Related to Owner, Receiver and the Nature of Technology

Document Type : Original Article

Authors

1 - Ph. D. Candidate of Management of Technology, Islamic Azad University, Roudehen, Iran

2 Professor, Department of Information Technology Management, Tarbiat Modares University, Tehran, Iran

3 Associate Professor, Allameh Tabataba'i University, Tehran, Iran

10.22034/jstp.2020.12.3.1263

Abstract

Maintaining and improving the position of companies in competitive equations depends on their technological resources. There are several ways to reach new generations of technology. Therefore, choosing the right method to acquire technology that optimizes time, cost and outcome is very important. Accordingly, this study aims to identify the optimal methods of technology acquisition in different conditions and situations using a three-dimensional model resulting from the interaction of factors related to owner, receiver and the nature of technology. The proposed model for selecting the appropriate method of technology acquisition includes several situations that are created by the interaction of 6 factors in 3 dimensions. These factors have been obtained from reviewing the literature and studying the existing technology acquisition models and standardizing a large number of family factors. The proposed methods are presented based on the status of the factors in two limit modes and in two categories: "optimal methods" and "possible but non-optimal methods". "Optimal" methods are methods that are fully compatible with the factors and are certainly the most appropriate method for technology acquisition. But "feasible but non-optimal" methods have been proposed in cases where there is no complete agreement with the factors of the situation, but the limiting factors do not violate that situation. In this way, each firm can extract and use "optimal methods" and "possible but non-optimal methods" appropriate to their specific situation by identifying the adaptation of their situation in relation to the factors of the model.
 

Keywords

References

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Journal of Science and Technology Policy
Volume 13, Issue 3 - Serial Number 47
November 2020
Pages 83-100

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