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Analyzing sustainable competitive advantage: strategically managing resource allocations to achieve operational competitiveness

Malek N. A., Shahzad K., Takala J., Bojnec S., Papler D., Liu Y.

Management and Production Engineering Review

2015

Vol. 6, No. 4

70--86

In today’s dynamic business environment, a key challenge for all companies is to make adaptive adjustments to their manufacturing strategy. This study demonstrates the competitive priorities of manufacturing strategy in hydro-power case company to evaluate the level of sustainable competitive advantage and also to further analyze how business strategies are aligned with manufacturing strategies. This research is based on new holistic analytical evaluation of manufacturing strategy index, sense and respond, and sustainable competitive advantage models. These models help to describe, evaluate, and optimize resource allocation to meet the performance requirements in dynamic decision making. Furthermore, these models evaluate operational competitiveness for manufacturing strategies according to the multi-criteria priority. The results show that the adjustments of competitive priorities in manufacturing strategies by implementing the proposed holistic analytical models are helpful in strategically managing business operations. The discussion derives the most critical attributes in business operations while alignment of resource allocation with competitive priorities help to strategically focus those attributes. In conclusion, we argue that resource allocation and manufacturing strategies have become the most important capabilities in a business environment where companies focus to get a sustainable competitive advantage.

Validating performance based critical actions in a high tech start-up

Vuoti V. P., Takala J., Mäntylä A., Liu Y., Yang W., binti Abdul Malek N. A., Kronman P., Kreuzer A., Zafar A.

Management and Production Engineering Review

2014

Vol. 5, No. 1

74--86

The objective of this study is to analyze a Finnish manufacturing case company’s operational competitiveness. A proposed analytical model based on analyses the corresponding angles of the strategic triangles (Prospector, Analyzer, and Defender). The model compares the angle differences between the strategy and resource triangles with opinions from different management groups of informants. It was found out that Normalized Scaled Critical Factor Index (NSCFI) model is more scientific comparing to formal ones through validation. Calculations based on the MSI questionnaire resulted in medium high values for the Prospector strategy both for past- and future orientation. S&R calculations regarding the past orientation resulted in low values for all strategy types, except P-NSCFI for Analyzer. Moreover this study covers a case, in where Balanced Critical Factor Index (BCFI) was used defining company annual strategy plan.