Organizational visions for technology assimilation: the strategic roads to knowledge-based systems success

Martinsons, Maris G.; Schindler, F.R.

doi:10.1109/17.366399

Cited by 18 publications

(7 citation statements)

References 50 publications

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“…The technological artifacts and processes in question have objective properties and behaviors, some of them more obvious and others less (say, the failure probability of a switch), but still inarguably real and factual. The literature that analyzes the ramifications of implementing such artifacts and processes, especially with the intention of informing management decisions, generally addresses these matters in terms of an epistemology that is similarly objective, inferring consequences or impacts of technological choices through cause-effect relationships by a method that can be proven right or wrong [1], [15], [17], [34], [46]. But when we acknowledge different yet equally legitimate ways of making such inferences, these epistemologies must be labeled subjective by virtue of their nonuniqueness (there is more than one right way to decide whether the switch is safe).…”

Section: Theoretical Implicationsmentioning

confidence: 99%

“…The problem of innovation failure has been recognized in the literature [4], [42], [46], [51], and numerous individual cases have been reported [5], [36], [56], [63], [65], [87]. Some research points to the importance of employee motivation toward technological change [74] and specifically identifies employee resistance as a significant reason for failed innovation [19], [51], [55].…”

Section: Introductionmentioning

confidence: 99%

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Occupational cultures as a challenge to technological innovation

Meier

1999

IEEE Trans. Eng. Manage.

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This paper explains conflict over technological process innovation in cultural terms, drawing primarily on a case study of electric power distribution and strategies to automate its operation. The paper shows how different occupational cultures, "operators" and "engineers," use different mental models or cognitive representations of technology that are adaptive to their particular work contexts, but which give rise to conflicting evaluations of technological innovation. While these cultural groups may be motivated by a common interest in the successful performance of the technical system, they value different sets of criteria for system design and promising modifications. Despite the apparent contradiction, each perspective is internally consistent and rational. The paper argues that it is beneficial for management to consider these diverse perspectives carefully when planning technological innovation.

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Section: Theoretical Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Occupational cultures as a challenge to technological innovation

Meier

1999

IEEE Trans. Eng. Manage.

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“…Technology transfer has received a considerable amount of scientific interest but, in contrast with the current research, it has focused mainly on strategic decision-making issues (Teece, 1976;Tsang, 1997). Technology has the best chance of being transferred successfully if it is co-coordinated at a strategic level and aligned with corporate goals and internal capabilities with the purpose of achieving competitive advantage (Leonard-Barton & Deschamps, 1988;Martinsons & Schindler, 1995). Therefore, to achieve successful technology transfer, it is essential to understand the determinants at the operational level that make technology transfer successful.…”

Section: Introductionmentioning

confidence: 99%

The impact of micro‐ and macroergonomics considerations on appropriate technology transfer decisions in developing countries: The case of Turkey

Erensal¹,

Albayrak²

2006

Hum Ftrs & Erg Mfg Svc

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The research presented in this paper aims to support the decision process of appropriate technology transfer to industrially developing countries by improving a broader understanding of relationships between the key micro-and macroergonomics factors and the technology alternatives. The methodology involves knowledge acquisition, identifying and categorizing a holistic set of key criteria about technology transfer with respect to ergonomics. This work attempts briefly to identify factors affecting the success of technology transfer in order to reduce the potential of incompatibilities with respect to micro-and macroergonomics and to optimize the decision process of managers. The objective of the decision model, based on the analytic hierarchy process (AHP), determines the global priority weights for different technology alternatives and examines the critical factors and benefits, which affect the appropriateness of technology transfer.

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“…As industrially developing countries often do not possess the necessary technologies or the ability to do their own research and development, the technologies needed in the implementation of the competition strategy are most likely to come from overseas through technology transfer [30]. Technology has the best chance of being transferred successfully if it is cocoordinated at strategic level and aligned with corporate goals and internal capabilities with the purpose of achieving competitive advantage [15,18]. In this respect the importance of technological transfer cannot be overemphasized in today's world.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the technological competencies and determining key capabilities in technology management using fuzzy analytical hierarchy process

Erensal¹,

Albayrak²

A Unifying Discipline for Melting the Boundaries Technology Management:

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In this paper, a fuzzy analytic hierarchy (FAHP) methodology is proposed to select the most appropriate technology alternative in respect to micro- and macroergonomics. Both micro ergonomics criteria and macroergonomics evaluation criteria such as cultural variables, managerial and organizational methods transfer, which are not quantitative in nature, are considered for selection. From the analytical point of view, decision-makers are asked to express their opinions on comparative importance of various factors in linguistic terms rather than exact numerical values. These linguistic variable scales, such as "very high", "high", "medium", "low" and "very low", are then converted into fuzzy numbers, since it becomes more meaningful to quantify a subjective measurement into a range rather than in an exact value. The fuzzy appropriate indices of different technologies are then ranked and preferential ranking orders of technologies are found. To deal quantitatively with imprecision or uncertainty, triangular fuzzy numbers are used throughout the analysis. A comprehensive numerical example consisting of two alternatives is provided to illustrate the effectiveness of the proposed approach

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Organizational visions for technology assimilation: the strategic roads to knowledge-based systems success

Cited by 18 publications

References 50 publications

Occupational cultures as a challenge to technological innovation

Occupational cultures as a challenge to technological innovation

The impact of micro‐ and macroergonomics considerations on appropriate technology transfer decisions in developing countries: The case of Turkey

Evaluating the technological competencies and determining key capabilities in technology management using fuzzy analytical hierarchy process

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