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.

Demand creating service

2015 ◽  
Vol 27 (3) ◽  
pp. 467-585 ◽  
Author(s):  
Feng-Chung Chang ◽  
Tzong-Ru (Jiun-Shen) Lee ◽  
Szu-Wei Yen
Keyword(s):  
Fuzzy Ahp ◽  
Future Research ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Proposed Model ◽  
And Performance ◽  
Grey Relational ◽  
Service Strategies ◽  
Hierarchy Process

Purpose – The purpose of this paper is to develop a model not only for determining the key factors in selecting optimal international express suppliers, but also for extracting the priority strategic suggestions of management for international express suppliers. Design/methodology/approach – The proposed model comprises two parts. The first part identifies suitable criteria for evaluating international express supplier by reviewing studies from 1989 to 2009, after which the fuzzy analytic hierarchy process (AHP) is applied to determine the relative weights of the criteria. The second part adopts grey relational analysis to extract five priority managing strategies from which 16 strategies are developed based on three concern factors derived from the first part. Findings – The results show customers’ top three concerns when selecting international express companies. In addition, the results show the five priority strategic suggestions to international express suppliers. Research limitations/implications – The research has two major limitations. First, this study was conducted using a sample of companies operating in Taiwan. Thus, other countries such as Japan and South Korea should be examined in future research. Second, this study focuses on the application of fuzzy AHP techniques to identify key selection criteria and service strategies of international express suppliers. Other important aspects, such as performance evaluation and performance prediction in the selection of international express suppliers, were not involved in this study because of the limited research scope. Originality/value – The proposed model helps international express suppliers enhance their competitiveness and raise their customers’ satisfaction.

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.

Multi-criteria supplier selection model using the analytic hierarchy process approach

2016 ◽  
Vol 11 (1) ◽  
pp. 326-354 ◽  
Author(s):  
Vinod Yadav ◽  
Milind Kumar Sharma
Keyword(s):  
Analytic Hierarchy Process ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Selection Model ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Proposed Model ◽  
Hierarchy Process

Purpose – The purpose of this paper is to propose a supplier selection model for an automobile company using analytic hierarchy process (AHP) approach. Supplier selection is now growing to be an important but complex issue, as it involves a large number of factors and decisions. These factors have complicated operational and financial implications. Design/methodology/approach – A case study of an Indian automobile company is used to illustrate and propose a supplier selection model using AHP approach. Findings – Key criteria of the supplier selection problem are identified based on the literature review and case study. Then, a model is proposed for supplier selection using AHP approach followed by a detailed sensitivity analysis. Practical implications – This paper contributes to supplier selection process, and points out the importance of supplier selection. It proposes a supplier selection model for an automobile industry which often faces heterogeneous supply environments. The proposed model provides key criteria for supplier selection in Indian context. This model may have high acceptability, where a large number of suppliers are available to supply the materials or provide the services. Originality/value – The proposed model can provide guidelines and directions for managers involved in purchasing function to effectively select suppliers on the basis of the identified criteria in the heterogeneous manufacturing environment.

Classification and prioritization of waqf lands: a Selangor case

2018 ◽  
Vol 11 (1) ◽  
pp. 40-58 ◽  
Author(s):  
Malik Shahzad Shabbir
Keyword(s):  
Design Methodology ◽  
Financial Resources ◽  
Current Status ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Content Type ◽  
New Model ◽  
Investment Models ◽  
Hierarchy Process

Purpose The aim of this paper is to study the current status and development of waqf lands in Malaysia, specifically in the state of Selangor, Malaysia and propose a new model for categorisation of its waqf lands. Previous studies on waqf lands and allocation of financial resources on these lands have been general and scanty. Design/methodology/approach They lack the focus of categorising waqf lands according to sectors, economic attributes and strategic locations so that it was not easy to match these lands to the kind of resources and investment models required for their development. The present research is carried out to categorise waqf lands and prioritise them according to four major sectors, namely agriculture, commercial, residential and religious Findings The study is quantitative in nature and uses a multi criteria decision-making method, the Analytic Hierarchy Process (AHP) to prioritise the waqf lands by taking inputs from the officers working in Selangor Islamic Religious Council and some other related organisations. The study concludes with recommendations and suggestions for future research. Originality/value I have proposed a new model for the categorisation of waqf lands. Previous studies on waqf lands and its allocation of financial resources have been general and revealing. The present research is carried out to categorise waqf lands and prioritise them according to four major sectors, namely agriculture, commercial, residential and religious.

Supply chain collaboration index: an instrument to measure the depth of collaboration

2014 ◽  
Vol 21 (2) ◽  
pp. 184-204 ◽  
Author(s):  
Gopal Kumar ◽  
Rabindra Nath Banerjee
Keyword(s):  
Supply Chain ◽  
Supply Chain Collaboration ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Index Model ◽  
External Focus ◽  
Proposed Model ◽  
Index Weight ◽  
Collaborative Activities ◽  
Hierarchy Process

Purpose – The purpose of this paper is to develop and measure supply chain collaboration index and to arrange collaborative activities in terms of its importance. Design/methodology/approach – This study uses data from industries in India to compute the collaboration index. Weight for each activity of collaboration was calculated by analytic hierarchy process (AHP) and this weight was used to compute the index combined with the formula proposed by Fornell et al. Findings – Supply chain collaboration index is computed as 40.44 on a scale of 1-100. The study also arranges collaborative activities in decreasing order of importance. Practical implications – By using model of this study, a firm can benchmark its collaborative practice. They can also identify extent of practice of internal and external focus areas. Further, firms can identify which activities should require more attention and improvement. Originality/value – The study proposed a supply chain collaboration index model and calculated the index using the proposed model and data collected from India. The study used model as proposed by Fornell et al. to compute collaboration index combined with the weight computed by employing AHP.

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.

scholarly journals An integrated approach to grey relational analysis, analytic hierarchy process and data envelopment analysis

2016 ◽  
Vol 9 (1) ◽  
pp. 71-86 ◽  
Author(s):  
Mohammad Sadegh Pakkar
Keyword(s):  
Data Envelopment Analysis ◽  
Grey Relational Analysis ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Attribute Weights ◽  
Relational Analysis ◽  
Dea Models ◽  
Grey Relational ◽  
Hierarchy Process

Purpose This paper aims to propose an integration of the analytic hierarchy process (AHP) and data envelopment analysis (DEA) methods in a multiattribute grey relational analysis (GRA) methodology in which the attribute weights are completely unknown and the attribute values take the form of fuzzy numbers. Design/methodology/approach This research has been organized to proceed along the following steps: computing the grey relational coefficients for alternatives with respect to each attribute using a fuzzy GRA methodology. Grey relational coefficients provide the required (output) data for additive DEA models; computing the priority weights of attributes using the AHP method to impose weight bounds on attribute weights in additive DEA models; computing grey relational grades using a pair of additive DEA models to assess the performance of each alternative from the optimistic and pessimistic perspectives; and combining the optimistic and pessimistic grey relational grades using a compromise grade to assess the overall performance of each alternative. Findings The proposed approach provides a more reasonable and encompassing measure of performance, based on which the overall ranking position of alternatives is obtained. An illustrated example of a nuclear waste dump site selection is used to highlight the usefulness of the proposed approach. Originality/value This research is a step forward to overcome the current shortcomings in the weighting schemes of attributes in a fuzzy multiattribute GRA methodology.

Sign in / Sign up

Export Citation Format

Share Document