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.

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.

Developing human resource for the digitization of logistics operations: readiness index framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anchal Gupta ◽  
Rajesh Kr Singh ◽  
Shivam Gupta
Keyword(s):  
Fuzzy Ahp ◽  
Organizational Factors ◽  
Organization Culture ◽  
Management Support ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Top Management Support ◽  
Logistics Company ◽  
The Right ◽  
Hierarchy Process

PurposeThe purpose of this study is to identify factors that are important for logistics organizations from the perspective of manpower readiness for digitization of logistics operations. The study also prioritizes the identified factors and also evaluates the readiness index of manpower for the digitalization of logistics processes.Design/methodology/approachThe factors for manpower readiness are identified through literature review and analysis of a case study. Three major categories of factors are identified. These are organizational, behavioural and technological factors. Under these three major categories of factors, 18 sub-factors are identified. Thereafter, with experts' inputs, the factors are prioritized using Fuzzy analytic hierarchy process (AHP). Further, a case illustration of an Indian logistics company has been taken to understand the current processes, technical capabilities, manpower skills and organization culture. After the case analysis and expert inputs, the manpower readiness index has been evaluated by using graph theory matrix approach (GTMA).FindingsThe prioritization of manpower readiness factors has been done using Fuzzy AHP. Organizational factors are found to be the most important factors which require quick attention. Sub-factors that are most important for building competencies in the logistics sector are providing the right training on functional skill development (0.129), top management support and commitment for digitalization (0.117), and organizational culture for process digitalization (0.114), etc. Finally, framework for evaluation of manpower readiness index for logistics operations in the digital age has been illustrated for a case company.Practical implicationsIndian logistics companies can benchmark their readiness index with respect to the best in the industry. Based on the readiness index, logistics companies can analyse their position, gaps from best and worst and can also identify potential areas for improvement.Originality/valueThe novelty of the study lies in the development of a framework for manpower readiness for digitalization in the logistics sector. In literature, this field is very less researched and provides the scope for developing strategies for improving manpower competencies for Industry 4.0. Logistics companies can improve their performance by making their manpower ready based on results obtained for readiness index.

scholarly journals Assessment of the Potential of Offshore Wind Energy in Taiwan using Fuzzy Analytic Hierarchy Process

2010 ◽  
Vol 4 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Tsung-Lin Lee
Keyword(s):  
Wind Energy ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Offshore Wind ◽  
Fuzzy Analytic Hierarchy Process ◽  
Offshore Wind Energy ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Selection Of

In this paper, the application of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) combined with a set of criteria analysis for the selection of appropriate sites for the development offshore wind energy in Taiwan is presented. The Fuzzy AHP was first conducted to rank the importance and identify the key factors of offshore wind energy successfully. From the numerical results, eight key factors that must be considered in the site selection of offshore wind energy system in Taiwan were obtained by using Fuzzy AHP model. They are: wind power, earthquakes, land use, shore type, typhoon, distance to shoreline, flight safety and water depth. Based on these factors, a set of criteria for the selection of sites for offshore wind farms was also established using five different sites in Taiwan. From the assessment results, it was found that Changhua coastal region is an appropriate site for offshore wind energy in Taiwan.

Prioritization of financial performance determinants in Indian SMEs

2020 ◽  
Vol 12 (2) ◽  
pp. 169-190
Author(s):  
Vishal Vyas ◽  
Priyanka Jain
Keyword(s):  
Financial Performance ◽  
Future Research ◽  
Competitive Strategies ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Performance Determinants ◽  
Corporate Social ◽  
Hierarchy Process ◽  
Practical Implications ◽  
Structured Questionnaire

Purpose This study aims to quantify and prioritize the financial performance (FP) determinants in Indian small and medium-sized enterprises (SMEs). Design/methodology/approach Analytic hierarchy process, a multi-criteria decision-making tool, was used. Experts were allowed to express the opinion regarding the relative importance of each factor and sub-factors by making pairwise comparisons through a structured questionnaire based on a nine-point scale. Findings Market orientation (0.4529) was perceived as the most important FP determinant followed by the entrepreneurial orientation (0.3382) and corporate social responsibility (0.2089) in SMEs. Research limitations/implications This study can be considered as a pilot study because it is confined to Indian SMEs. Future research studies can incorporate the opinion or insights of other stakeholders and may target the SMEs situated in different geographical areas. Practical implications The inferences drawn in this study would clarify the conceptual and contextual applicability of competitive strategies in SMEs. Indeed, proposed hierarchy and developed framework would guide the SMEs in strategic planning. Moreover, it would help in repositioning and alignment of core strategies duly with business objectives. Originality/value The study represents the foremost step and a unique effort in the area of development of hypothetical model (a hierarchal model) with the framework considered to prioritize the FP determinants in SMEs.

scholarly journals Forecasting Repair Schedule for Building Components Based on Case-Based Reasoning and Fuzzy-AHP

2019 ◽  
Vol 11 (24) ◽  
pp. 7181
Author(s):  
Sojin Park ◽  
Nahyun Kwon ◽  
Yonghan Ahn
Keyword(s):  
Fuzzy Ahp ◽  
Case Based Reasoning ◽  
Analytic Hierarchy ◽  
Average Case ◽  
Related Information ◽  
Building Maintenance ◽  
Proposed Model ◽  
Building Components ◽  
Hierarchy Process ◽  
Case Based

Building maintenance is closely related to the performance and sustainability of buildings. However, existing approaches to maintenance are limited in terms of estimating required repairs. Therefore, this study proposes a case-based reasoning (CBR)-based model for estimating the time when the first repair will be needed after the completion of construction, even in phases where maintenance-related information is scarce. CBR and fuzzy-analytic hierarchy process (AHP) were employed as research methodologies. A database was established by collecting 257 cases related to maintenance of apartment buildings, and attributes were extracted through literature reviews and expert interviews. Then, attributes were weighted by fuzzy-AHP and case similarities were computed by measuring the Euclidean distance. Similar cases were retrieved based on similarity scores. The model was validated via a comparison of 20 randomly selected test cases with the output of retrieved cases. The results showed that the average case similarities of 3-, 5-, 7-, and 10-nearest neighbors (NN) were 98.05%, 97.86%, 97.73%, and 97.59%, respectively, and mean absolute percentage errors for 3-, 5-, 7-, and 10-NN were mostly lower than 20%, confirming the applicability of the proposed model. The proposed method will help in the preliminary estimation of the repair time of building components.

Food tourism: cooking holiday experiences in East Asia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Janet Chang ◽  
Bendegul Okumus ◽  
Chih-Hung Wang ◽  
Chien-Yin Chiu
Keyword(s):  
Relative Weight ◽  
Local Features ◽  
Future Research ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Culinary Tourism ◽  
Hierarchical Framework ◽  
Research Findings ◽  
Experiential Quality ◽  
Hierarchy Process

Purpose This study aims to investigate how the “cooking holiday” concept can be used by tourism authorities and practitioners and, to that end, proposes a hierarchical framework for improving culinary tourism. Design/methodology/approach This study adopted the Delphi method to filter and verify the criteria, thereby constructing a hierarchical framework of cooking holidays in Taiwan. The analytic hierarchy process (AHP) was also applied to calculate the relative weight of each attribute and criterion, thus identifying their degrees of importance. Findings Four attributes (“local food,” “food trail,” “cooking experience” and “environment and atmosphere”) and 22 criteria were identified to comprise a cooking holiday experience framework. Research findings reveal “cooking experience” as the most crucial of the four attributes identified. Of the more numerous criteria, “ingredients with integrity,” “local features” and “diverse curriculum” were identified as the three most important. Research limitations/implications The hierarchical framework of cooking holiday experiences can be used by tourism authorities and practitioners to enhance experiential quality for tourists and promote culinary tourism in Taiwan. According to the research findings, cooking class participants can concentrate on the “cooking experience” while emphasizing “ingredients with integrity,” “local features” and “diverse curricula” in the context of cooking holidays. Originality/value This study offers valuable insights and suggests directions for future research on culinary tourism. This study also offers a framework for developing cooking holidays.

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.

A Fuzzy AHP Model for 3PL Selection in Lead Logistics Provider Scenarios

2010 ◽  
pp. 261-277 ◽  
Author(s):  
Rajbir Singh Bhatti ◽  
Pradeep Kumar ◽  
Dinesh Kumar
Keyword(s):  
Service Providers ◽  
Fuzzy Ahp ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Decision Factors ◽  
Proposed Model ◽  
Using Data ◽  
Hierarchy Process ◽  
Selection Of

Selection of service providers in the global supply chains of today has been recognized as having a very important effect on the competitiveness of the entire supply chain. It results in achieving high quality end results (products and/or services), at reasonable cost coupled with high customer satisfaction. This article discusses the use of Fuzzy Analytic Hierarchy Process (FAHP) to effectively manage the qualitative and quantitative decision factors which are involved in the selection of providers of 3PL services under Lead Logistics Provider (LLP) environments of today. Lead logistics providers (LLP) are increasingly being banked upon to integrate the best of 3PL service providers and allow for synchronized and optimized operations. In the asset free environments of today, many a times, the LLP uses the services of the 3PL and hence the issue of reliably choosing them assumes increasingly greater significance. The fuzzy-AHP has been adequately demonstrated in literature to be an effective tool which can be used to factor-in the fuzziness of data. Triangular Fuzzy Numbers (TFN) have been deployed to make over the linguistic comparisons of criteria, sub-criteria and the alternatives. The FAHP based model formulated in this chapter is applied to a case study in the Indian context using data from three leading LSPs with significant operating leverages in the province of Uttrakhand (India). The proposed model can provide the guidelines and directions for the decision makers to effectively select their global service providers in the present day competitive logistics markets.

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.

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