A research on growth capability of Chinese high-tech industry evaluation based on analytic hierarchy process

2009 ◽  
Author(s):  
Xia Pan ◽  
Jun Chen ◽  
Xiao-feng Ju
Keyword(s):  
Analytic Hierarchy Process ◽  
High Tech ◽  
Analytic Hierarchy ◽  
High Tech Industry ◽  
Hierarchy Process

Developing a new model for selecting public relations firms in the high‐tech industry

2006 ◽  
Vol 1 (2) ◽  
pp. 156-172 ◽  
Author(s):  
Pi‐Fang Hsu
Keyword(s):  
Public Relations ◽  
Relationship Maintenance ◽  
High Tech ◽  
Analytic Hierarchy ◽  
High Tech Industry ◽  
Content Type ◽  
New Model ◽  
Proposed Model ◽  
Grey Relational ◽  
Hierarchy Process

PurposeThis study develops a new model for selecting public relations (PR) firms based on high‐tech industrial perceptions.Design/methodology/approachThe proposed model comprises two parts. The first part employs the analytic hierarchy process (AHP) for criteria weighting. The second part applies the grey relational analysis (GRA) to rank alternatives and select the optimum PR firm in the high‐tech industry.FindingsAnalytical results indicate that high‐tech enterprises consider criteria in the following order of priority: media ability, campaign ability, strategic planning, service team, cost consciousness and relationship maintenance. Furthermore, this study uses the example of a renowned high‐tech communications manufacturer in Taiwan to demonstrate the effectiveness of the model in PR firm selection.Originality/valueThe proposed model helps high‐tech enterprises to effectively select PR firms, making it highly applicable in academia and commerce.

Supporting decision-making in service supplier selection using a hybrid fuzzy extended AHP approach

2017 ◽  
Vol 23 (1) ◽  
pp. 196-222 ◽  
Author(s):  
Giustina Secundo ◽  
Donato Magarielli ◽  
Emilio Esposito ◽  
Giuseppina Passiante
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Set ◽  
Supplier Selection ◽  
Hybrid Approach ◽  
High Tech ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Hierarchy Process

Purpose Service supplier selection is a multi-criteria decision-making (MCDM) problem assuming a strategic role for the competitiveness of high-tech manufacturing companies. Nevertheless, especially for service quality evaluation, there is little empirical evidence of the practical usefulness of MCDM methodologies. Aiming to cover this gap between theoretical approaches and empirical applications, the purpose of this paper is to propose a fuzzy extended analytic hierarchy process (FEAHP) approach for service supplier evaluation. Design/methodology/approach A hybrid approach which combines some of the strengths of the analytic hierarchy process (AHP) and of the fuzzy set theory is presented, as organized into five steps. A case study is used to evaluate the applicability in a real company context. Findings The usability of the approach is demonstrated in an aerospace company for solving the supplier selection problem of a business software whose applications are still in infancy: a Test Data Management System (TDMS). The illustrative application contains both “general” criteria to be used for other service supplier selection contexts as well as service-specific criteria related to software selection. Research limitations/implications Even if the application regards the selection of a software supplier, the methodology can be generically extended to other services’ selection in complex manufacturing industries through the personalization of some criteria. Practical implications Implications can be derived both for business managers involved into the decision-making process and for suppliers identifying the most promising features of software quality. Originality/value The originality consists in the combination into a hybrid approach of the strong points of the AHP with the fuzzy set; the inclusion of multiple perspectives of decision criteria for service supplier selection, basically the “software product” and “supplier” ones; a real empirical application to test and demonstrate the efficacy and the practical utility of the proposed approach.

scholarly journals High-Tech industry budget assessment and planning model

2021 ◽  
Vol 114 ◽  
pp. 01017
Author(s):  
Еvgenii Khrustalev ◽  
Oleg Khrustalev ◽  
Nina Baranova ◽  
Daria Loginova
Keyword(s):  
High Tech ◽  
Fiscal Stress ◽  
Innovative Development ◽  
Scientific Validity ◽  
Analytic Hierarchy ◽  
High Tech Industry ◽  
Knowledge Based ◽  
Complex Development ◽  
Development Processes ◽  
Hierarchy Process

In the conditions of a constant budget deficit allocated to the research and manufacturing complex, the problem of value for money take on particular significance. The solution to this problem largely depends on the scientific validity of planning budget expenditures for innovative development and, first of all, on the optimality of the plans being developed in the context of crises, pandemics or sanctions. In this connection, the article analyzes modern research and manufacturing complex development processes under fiscal stress. As a result, economic and mathematical tools based on the analytic hierarchy process will be scientifically substantiated and developed. This method is designed to build a model that allows to quantify and efficiently distribute funds allocated by the State. This is necessary for the formation of that part of the budget item, which refers to the innovative development of knowledge-based industry.

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