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Purpose– Customization is a difficult task for many organizations implementing enterprise resource planning (ERP) systems. The purpose of this paper is to develop a new framework based on customers' requirements to examine the ERP customization choices for the enterprise. The analytical hierarchy process (AHP) technique has been applied complementarily with this framework to prioritize ERP customization choices.Design/methodology/approach– Based on empirical literature, the paper proposed an ERP customization framework anchored on the customer's requirements. A case study research method was used to evaluate the applicability of the framework in a real-life setting. In a case study with 15 practitioners working on the vendor's and the client's sides in an ERP implementation, the paper applied the framework jointly with the AHP technique to prioritize the feasible customization choices for ERP implementation.Findings– The paper demonstrates the applicability of the framework in identifying the various feasible choices for the client organization to consider when they decide to customize their selected ERP product.Research limitations/implications– Further case studies need to be carried out in various contexts to acquire knowledge about the generalizability of the observations. This will also contribute to refining the proposed ERP customization framework.Practical implications– Very few literature sources suggest methods for exploring and evaluating customization options in ERP projects from requirements engineering perspective. The proposed framework helps practitioners and consultants anchor the customization decisions on the customer's requirements and use a well-established prioritization technique, AHP, to identify the feasible customization choices for the implementing enterprise.Originality/value– No previously published research studies provide an approach to prioritize customization choices for ERP anchored on the customer's requirements.

PurposeThis study aims to identify the dominant brand attributes based on the survey conducted among 100 young consumers to know their perceptions toward sustainable brands, using multi-criteria decision-making (MCDM) techniques, arithmetic hierarchical process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS).Design/methodology/approachIn total, 100 young consumers (18 to 24 age group) were asked to provide the pairwise comparisons for the 10 brands. MCDM methods were applied on triple bottom line dimensions to identify the best alternative. AHP is applied to compute weights for the brands' attributes necessary for brand's sustainability, further analyzed by TOPSIS method to rank Forbes' top 10 brands as per young consumers' intentions to buy.FindingsApple is the most sustainable brand perceived by young consumers followed by Google and Samsung. Being the top brand in Forbes list Apple also fulfills its responsibility toward the environment and recognizes young consumers' perception accurately. Google is also contending with the same strategy and succeed in achieving a sustainable brand image. Samsung despite at number seven and second-highest revenues after Apple has managed excellently in building sustainable brand image.Research limitations/implicationsFindings have shown that the top global brands do not show the same order as they exhibit in their top ranking (Forbes, 2019), and thus, create a research gap to be fulfilled by identifying the causes for the same. The results show that brand consistency and performance can be achieved through implementing sustainable and green practices such as acting social responsibility, high-quality green products, environment protection, etc., and transforming these into capabilities.Practical implicationsThe study is an attempt to further validate Forbes's top brands based on their perception among young customers. The study may help practitioners and policymakers to understand and get familiar with a new methodology to evaluate brands and also how to develop a positioning strategy for targeting young consumers. The paper will be a useful source of information for marketers to know how young consumers from developing countries perceive top brands on the basis of sustainability.Social implicationsThe social benefits of brand sustainability are related to improvements in the quality of environment, health and well-being. To link these, an enabling environment must be created that optimizes resource use, allocation and distribution.Originality/valueThe study is a unique attempt to use AHP and TOPSIS to evaluate the best – performing green brand from the perception of young customers in developing counties. Besides, the study provides brands attributes' framework for sustainability and is significant for developing a model as per the choices of the young consumers.

The high level of poverty in Indonesia encourages the government and social institutions to seek to provide social assistance to the community in improving welfare, especially during the COVID-19 pandemic, in the form of basic necessities, cash, and other forms of subsidies. However, sometimes the distribution of social assistance is not well-targeted so that some people should receive the assistance but are not touched at all. Then the data obtained are also still manual so it takes time in making decisions. Therefore we need a method that can assist in making decisions quickly with the help of computers. One of the methods used in making these decisions is the Fuzzy Analytic Hierarchy Process (FAHP) which is widely used for solving decision-making problems with many criteria. Fuzzy AHP itself is a combination of the analytic hierarchy process (AHP) method and fuzzy theory. In this study, several criteria were determined in the selection of recipients of social assistance, namely employment, expenditure, clothing, food, and housing. Furthermore, the alternative recipients of social assistance that will be selected are compared based on predetermined criteria. The highest value which is the result of Fuzzy AHP calculations can be used as a recommendation for decision-makers in selecting social assistance recipients. Keywords: fuzzy, ahp, decision support system.

In urban spatial planning, the Local Government prioritizes land use to support planning development. The use of available land in an area must be adjusted to the function. So far, sometimes in an area the use of available land in an area does not fit with its function. Therefore, in this research will be determined the priority and ranking of land use by using Analytic Hierarchy Process (AHP). Ranking is based on four aspect criterias: social demography, economic, spatial and regional plan (RTRW), and environmental aspect. Based on the alternatives and criteria and also subcriteria, the decision hierarchy model is made. Then it will be assessed for the comparison between criterias and subcriterias and their consistency value. The result is achieved by using Expert Choice software version 11 and analysis, it showed that the main priority of land allocation in Sidoarjo regency was used as agricultural land (31.9%).

Abstract. The analysis of mining-induced sinkholes occurrence is a very important issue as far as the spatial development optimization is concerned. Research conducted for this paper was focussed on examining the applicability of GIS and the associated AHP method (analytic hierarchy process) for estimating the risk of discontinuous deformation occurrence on the surface. Qualitative factors were accounted for in the sinkhole risk assessment, thus creating bases for the research. These elements play an important role in the process of sinkholes formation; however, they were not used in prediction models. Another assumption lay in minimizing the number of variables in the model. Accordingly, the most important qualitative and quantitative risk factors were finally selected on the basis of whether the risk of cave-ins occurrence on the surface could be calculated. The results of the estimation of potential sinkhole zones were verified. The locations of actual and high-risk potential discontinuous deformation were compared. The congruence between predicted values and the actual observations of sinkholes was very high. The results of research presented prove the necessity to evaluate sinkhole hazards in view of qualitative factors.

Purpose – The tourism industry service network (TISN) is considered to be one of the largest components of tourism in the modern Vietnamese economy. The Vietnam National Administration of Tourism (VNAT) is currently developing a long-term plan to diversify the country's tourism industry and to improve the destination image of Vietnam. To successfully implement this plan, the Vietnamese tourism industry must employ effective promotional strategies. Design – This study designs to determine the necessity of measuring the effectiveness of the promotional activities of tourist destinations and to decide upon a promotional strategy that appropriately parallels the desired destination attributes and destination image. Methodology – This study proposes to address tourism promotional efficiency using the analytical hierarchy process (AHP) methodology, a decision-making method based on pairwise comparisons between criteria, and constructs an evaluation structure with criteria-associated weights for factor selection. Approach – In accordance with AHP design, this study selects participants who had been in charge of or served in the Vietnamese tourism industry for a number of years. Findings – This study finds that "government policy", "service staff" and "tourist satisfaction" are the three most important factors impacting tourism promotional effectiveness. Surprisingly, "tourist loyalty" and "tourism infrastructure" are considered to be the least important factors affecting tourism promotional efficiency. Originality of the research – This study provides valuable information and knowledge of tourism promotional effectiveness to be fully shared and passed on in the tourism industry, resulting in a corporate cultural atmosphere that creates the innovative impetus of destination attributes and images.

PurposeThis study aims to establish a robust evaluation framework for suppliers within the automotive supply chain, specifically in the stamping sector. The primary objectives are to elucidate the performance criteria of suppliers, identify indicators and scales for measuring these criteria and find the importance of the criteria.Design/methodology/approachThe evaluation framework comprises a criteria hierarchy and indicators developed based on the evaluation criteria of major automotive manufacturers. Specific indicators and measurement scales are recommended for assessing suppliers. Importance weights for the criteria are assigned based on the input of nine experts using the Analytic Hierarchy Process (AHP). Finally, four sheet metal stamping tooling (SMST) suppliers are evaluated by four specialists using the proposed evaluation framework.FindingsThe study introduces a novel classification of criteria, encompassing financial and commercial perspectives, delivery capability, supplier facility and cultural approaches and business process necessities. The findings underscore the significance of financial and commercial stability in the selection of SMST suppliers, emphasizing their role in mitigating risks associated with disruptions, bankruptcies and unforeseen events. Additionally, several SMST evaluation factors identified in this study contribute to the development of resilience capabilities, highlighting the crucial importance of their inclusion and assessment in the proposed evaluation framework.Originality/valueThis research presents a comprehensive model for evaluating SMST suppliers, which tackles the multidisciplinary challenges within the automotive supply chain. Given the inadequacy or nonexistence of current SMTS selection models, this study bridges the gap by exploring potential and necessary criteria, alongside 116 specific indicators and measurement scales.

The success of Public-Private Partnerships (PPP) lies in the exploitation and expertise of the participants in managing the resources and opportunities available. For the Jordanian government, meeting the growing and continuous demand for goods/services on its own in light of the increasing budgetary constraints and lack of expertise is very difficult, thus the dependency on other sectors of society is increasing. Various researchers associated the enhancement of success rates for projects by classifying the Critical Success Factors (CSFs) of Public-Private Partnership projects all around the world. Critical Success Factors identify the specific weaknesses associated to project implementation and classify the primary factors that ensure project success. This research will draw on previous literature to understand the Critical Success Factors (CSF's), the risk factors influencing PPP construction projects in Jordan, and questionnaire surveys to establish a practical framework for the implementation of risk evaluations. In this paper the Statistical Package for Social Science (SPSS) and the Analytical Hierarchy Process (AHP) were used as risk assessment models to improve the assessment accuracy. The results were gathered from questionnaires administered to government and private organization employees involved in the implementation of PPP projects. It was determined that the most important Critical Success Factor for any local PPP project is proper risk distribution and risk contribution, which was found to have a relative importance of 79.6%. The results showed that the risk factors with the highest ranks (respectively) are transfer phase (48.28%); organizational risks (28.3%), financing phase (12.26%), project management risks (8.29%), and finally, the feasibility study phase (3.64%). The research is ultimately aimed at developing a framework for the risk evaluation of PPPs within the construction industry in Jordan.

Contractor selection process is generally believed to be marred with lots of bias in most developing nations, which sometimes leads to incompetent contractor being selected because it is based mainly on human experience and feelings. In particular, in a culturally biased country like Nigeria where most contractors' selection process is not based on performance but rather on whom you know, not paying attention to important factor/criteria but rather on selfish personal gains, which directly or indirectly affect the public in different forms could have some negative effects on projects. The failure of managers to be objective in decision-making in regard to contractor selection has great consequences for the government as well as corporate organizations in terms of cost incurred, delivery time, and impact on the general welfare of the people. Hence, there is a need for managers to be interested in the selection of contractors, suppliers of materials, equipment, and services as failure or inefficiency on the part of the contractor that could affect the well-being of the people negatively and damage the performance rating of the government. Developing an appropriate model to address the problem of poor contractor evaluation would, no doubt, be a great relief in the selection of contractors. This chapter presents a prototype system for contractor evaluation decision.