Industrial competitiveness analysis: Using the analytic hierarchy process

Sirikrai, Sajee; Tang, John C.S.

doi:10.1016/j.hitech.2006.05.005

Cited by 80 publications

(61 citation statements)

References 54 publications

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“…Evidence supports theoretical determinants of foreign exchange rate exposure for firms in the globally competitive automotive industry. Sirikrai and Tang (2006) suggest a four-level Analytical Hierarchy Process (AHP) model to analyse the competitiveness of the automotive components industry in Thailand and compare sub-elements of competitive conditions, government roles, managerial resources, and technological capabilities. However it is unable to capture the interactions between variables in the model.…”

Section: Competitiveness In the Automotive Industrymentioning

confidence: 99%

A decision support methodology to enhance the competitiveness of the Turkish automotive industry

Ülengin

Önsel

Aktaş

et al. 2014

European Journal of Operational Research

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Three levels of competitiveness affect the success of business enterprises in a globally competitive environment: the competitiveness of the company, the competitiveness of the industry in which the company operates and the competitiveness of the country where the business is located. This study analyses the competitiveness of the automotive industry in association with the national competitiveness perspective using a methodology based on Bayesian Causal Networks. First, we structure the competitiveness problem of the automotive industry through a synthesis of expert knowledge in the light of the World Economic Forum's competitiveness indicators. Second, we model the relationships among the variables identified in the problem structuring stage and analyse these relationships using a Bayesian Causal Network. Third, we develop policy suggestions under various scenarios to enhance the national competitive advantages of the automotive industry. We present an analysis of the Turkish automotive industry as a case study. It is possible to generalise the policy suggestions developed for the case of Turkish automotive industry to the automotive industries in other developing countries where country and industry competitiveness levels are similar to those of Turkey.

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Section: Competitiveness In the Automotive Industrymentioning

confidence: 99%

A decision support methodology to enhance the competitiveness of the Turkish automotive industry

Ülengin

Önsel

Aktaş

et al. 2014

European Journal of Operational Research

View full text Add to dashboard Cite

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“…It utilizes pair wise comparisons by interviewing the experts within the whole organization. AHP-based models can comprehensively explore the varying degrees of importance of the indicators and drivers of competitiveness (Sirikrai & Tang 2006). The AHP based instruments e.g.…”

Section: Research Methodologiesmentioning

confidence: 99%

Proactive Crisis Management in Global Manufacturing Operations

Liu¹,

Takala²

2010

Products and Services; From R&D to Final Solutions

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“…Beside microeconomic conditions there are macroeconomic factors that are not less important as the later ones, these are government and unpredicted events. When all these conditions are put together the way they intersect one with each other created the nature of international competitiveness (Sirikrai and Tang, 2006).…”

Section: Mporter "Diamond" Model Adoptionmentioning

confidence: 99%

“…Analytical Hierarchy Model (AHp) that was found by Thomas L. Saaty in 1970's and applied for many years in mathematical decision making, nowadays may help to identity and evaluate, which indicators of organizational behaviour and to what level are important when competitiveness of a sector is being analysed (Sirikrai, Tang, 2006). Moreover, the model that enables to measure the importance of factors helping organizations to perform better compose of three steps:…”

Section: Essence Of the Analytical Hierarchy Modelmentioning

confidence: 99%