Supplier evaluation and selection has been a vital issue of strategic importance for long time. Different multi-criteria decision making (MCDM) approaches have been proposed by the researchers in past, to solve the supplier evaluation and selection problem. In this paper, we present a review of various MCDM methodologies reported in the literature for solving the supplier evaluation and selection process. The review is solely based on sixty-eight research articles, including eight review articles in the academic literature from 2000 to 2011. We try to find out the most prevalent approach in the articles and thereby present the future scope of arriving at an optimal solution to the problem, based on the specifications, the strategies and the requirements of the buyers. The study presents that with the change in processes and the requirements, how the approach of the manufacturing industry has shifted from striving for operational effectiveness to the strategic partnership in the dyadic relationship.
Purpose – The purpose of this paper is to examine the important criteria responsible for the adoption of different electronic banking channel (EBC) alternatives in Indian perspective. It also evaluates the intensity of the various criteria, namely demographics, technological factors, service components and intention to use in determining the overall priorities of EBC. Design/methodology/approach – Data were collected from 110 respondents using pairwise comparison-based survey instrument. The collective data was analyzed using analytical hierarchy process and priorities of different EBC were computed. Findings – ATM was found out to be the most preferred EBC alternative, followed by internet banking (IB) and mobile banking. Awareness, self-efficacy, ease of use, usefulness and security were the criteria responsible for making ATM, the most preferred channel. Practical implications – This paper imparts a better understanding of customers’ preferences among different EBC alternatives. It also explores the relationship between different criteria and sub-criteria based on the data collected from both the parties involved in electronic banking, i.e. customers and bankers. This research would be helpful to guide the strategy maker of electronic banking, so that penetration rate may improve in India. This would also give an idea which factor should be given more emphases, while offering new electronic banking services. Considering same method, further detailed research on specific EBC is required. Similarly, studies of different demographic area may consider for robustness of concept. Originality/value – In the past research work, many researchers talked about the specific EBC and now it is needed to find the gap between all channels selection attitude, considering same parameters. Through pairwise comparison, priorities of different criteria and sub-criteria have been evaluated. This also leads to the selection of most preferred EBC. The results would also be useful in enhancing the customer base, thus reducing the barriers in the adoption of IB and mobile banking.
Abstract-In today's highly competitive business environment, the rapidly changing customer demands and with the advent of enterprise wide information systems, the managers are bound to think beyond the conventional business processes and devise new ways to squeeze out costs and improve the performance without compromising on the quality at the same time. Supplier evaluation and selection is one such area which determines the success of any manufacturing firm. Supplier selection is the problem wherein the company decides which vendor to select to have that strategic and operational advantage of meeting the customers' varying demands and fight the fierce competition. This paper presents a simple model based on Analytic Hierarchy Process (AHP) to help decision makers in supplier evaluation and selection, taking into account the firm's requirements. The article is intended to help new scholars and researchers understand the AHP model and see different facets in first sight.
In the increasing competition it has become important in business world to understand the different aspects of production and purchasing to understand the need for desired material in the organization. The managers have an important responsibility of selecting a good supplier by evaluating them on different parameters which is directly or indirectly associated with their overall performance. For decision making based on multiple criteria evaluation many methods of Multi-Criteria Decision Making (MCDM) is used by firms. Data Envelopment Analysis (DEA) is prominently used by firms nowadays. In this paper, analysis of DEA is done by measuring supplier performance of two firms: multi-national telecommunication corporation and a manufacturing firm. The firm uses the methodology according to their requirement and criteria for evaluating their suppliers and find best among them.
The present research attempts to develop a theoretical framework for the assessment of shopping mall customer experience dimensions. It further classifies the variables associated with retail experiences that may attract customers in Tier-II and Tier- III cities towards the malls. Exhaustive literature review and expert opinion approaches have been used to explore the evaluation criteria for the assessment of the mall experience. ISM is used to develop a structural model that represents relationships among variables at different levels along with driving and dependence relationships in the structural model. The result highlights that factors like customer value orientation, tenant mix, employees, facilities management are the most significant benchmarking criteria for customers’ assessment of their mall experience in the present study. To achieve profitable operations in these cities, retailer’s need to acquaint themselves with the expectations of customers in order to attract their attention. This indicates that it is imperative for mall managers to identify how consumers benchmark different parameters while evaluating a mall experience. Understanding the importance of such parameters will allow malls to be built according to some standard specifications that can meet a consumer’s threshold for appeal and attractiveness. The study adds to the existing literature of assessing shopping experience in Tier-II and Tier-III cities’ malls through a structural model. The most and the least dominant factors found in this study will help mall managers to develop strategies to enhance the customer shopping experience in malls.
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