Encompassing the Work-Life Balance into Early Career Decision-Making of Future Employees Through the Analytic Hierarchy Process

Gawlik, Remigiusz

doi:10.1007/978-3-319-60372-8_14

Cited by 4 publications

(2 citation statements)

References 46 publications

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“…In presented research, the global priorities sum up to 100.01%, because of the imperfect inconsistency level of evaluators' answers (but still acceptable-IR ≤ 0.1). The issue has been further explained in [30].…”

Section: Resultsmentioning

confidence: 98%

“…Kou et al [28] state that AHP was initially developed, making the most use of field data, laboratory results, and experts' experience, for applications in multicriteria decision-making, planning, and resource allocation, and in conflict resolution. Further discussion of the method can be found in [29,30], whereas its critique in [31][32][33], answered in [34].…”

Section: Decision-making Modelmentioning

confidence: 99%

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Choosing the Production Function Model for an Optimal Measurement of the Restructuring Efficiency of the Polish Metallurgical Sector in Years 2000–2015

Gajdzik

Gawlik

2017

Metals

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Abstract:Between 2000 and 2015, the Polish metallurgical sector was subject to serious restructuring. Presented research aimed at providing a framework for possibly most accurate measurement of efficiency of this process. The study employed: (I) Quantitative research for elaboration of production function models: power regression Cobb-Douglas function with its developments; (II) Qualitative research: Analytic Hierarchy Process for assessment of relevance of efficiency evaluation criteria in reference to various production function models in metallurgy sector: (i) sectoral added value (net production); (ii) production sold; and, (iii) steel production volume. Criteria relevance has been assessed by scientists and practitioners with specialization in metallurgy. As a result the sectoral added value function has been chosen as the one that optimally reflects sector's restructuring efficiency. This, in turn, constitutes a qualitative confirmation of previous research result, which has been verified with a quantitative method. Practical outcome is a more precise modelling of efficiency of restructuring processes in the metallurgical sector, both for scientific and business needs. The main research limitations originate from the sector itself-in order to make our tool more universal, further research should be led in parallel branches of industry.

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Section: Resultsmentioning

confidence: 98%