ABSTRACT
The supplier selection problem is one of the most important issues in supply chain management. So, many papers have investigated the mentioned problem. However, the related literature shows that researchers had less attention to the sustainability and resilience aspects based on the customer preferences in supplier selection problem. To cover this gap, this research tries to investigate the customer-based sustainable-resilient supplier selection problem. In this way, a Markovian-based fuzzy decision-making method is proposed. At the outset, the customer preferences are evaluated using a combination of the quality function deployment and the Markov transition matrix. Then, by combining the transition matrix and the fuzzy best-worst method, the weights of the indicators are calculated. Finally, the decision matrix is formed and the performance of suppliers is measured based on the multiplication of the decision matrix and vector of sub-criteria weights. Regarding the recent pandemic disruption (COVID-19), the importance of online marketplaces is highlighted more than the past. Hence, this study considers an online marketplace as a case study. Results show that in a pandemic situation, the preferences of customers when they cannot go shopping normally will change after a while. Based on the Markov steady state, these changes are from the priority of price, availability, and performance in initial time to serviceability, reliability, and availability in the future. Finally, based on the FBWM results, from the customer point of view, the top five sub-criteria for sustainable-resilient supplier selection include cost, quality, delivery, responsiveness, and service. So, based on these priorities, the case study potential suppliers are prioritized, respectively.
ABSTRACT
The COVID-19 pandemic has impacted economic activity not only in the United States, but across the globe. Lockdown and travel restrictions imposed by local authorities have led to change in customer preferences and thus transformation of economic activity from traditional areas to new regions. While most changes have been temporary and short term, some of them have been observed to be of permanent nature. Using large-scale aggregated and anonymized transaction data across various socio-economic groups, we analyse and discuss such temporary relocation of citizens' economic activities in metropolitan areas of 15 states in the US. The results of this study have extensive implications for urban planners and business owners, and can provide insights into the temporary relocation of economic activities resulting from an extreme exogenous shock like the COVID-19 pandemic. © 2022 IEEE.
ABSTRACT
Hotel is an essential establishment that can offer lodging to travellers and accommodation for meetings/events. However due to the instability of the market in hotel, in addition to the COVID-19 pandemic, there is an increase of competition in the industry. In order to cope with this problem, hotels tend to increase its quality and services in order to meet the ideal preference of the customer. The study aimed to determine the combination of hotel attributes that the customer deemed preferred using a Conjoint Analysis Approach. The study specifically utilized attributes like price, accessibility to nearest landmark, inclusivity of breakfast, amenities, and dining options. The results show that the price was the most preferred attributes by the customer (40.787%), followed by the inclusivity of breakfast (32.913%), accessibility to nearest landmark (15.433%), hotel amenities (8.504%), and the least preferred is the dining options (2.362%). The outcome will be beneficial to the hotel owners and manager on the customer preference on the attributes. © 2022 ACM.
ABSTRACT
The Research was focused on the Diary Products like milk, curd, sweets, etc. The research was confine 10 locations in the Andhra Pradesh States in Chennai surrounded Sholinganallur places. The purpose of this research was to find out the customer tastes and preferences for choosing the milk products. The instruments were prepared using the nominal and ordinal scale according to the review of literature. The data was analysis using the SPSS Software percentage table calculations and hypothesis was tested using the Chi Square testing. The outcomes of the research stated clearly on the quality of services customers are receiving through Diary parlour. Conclusion: Customers are satisfied with the diary products and services offer even in the Covid 19 conditions. © 2022 International Journal of Health Sciences. All rights reserved.
ABSTRACT
Retail companies operating in Lithuania are very important for the national economy. Domestic consumption has remained one of the most important drivers of Lithuania’s economic development. The objective of this article is to investigate the customer preferences and to identify selected factors of shopping centers in Vilnius, Lithuania. The study of Vilnius shopping centers is based on a complex model that integrates the following factors: shopping center goods and services, customer service, image factors, physical factors, situational factors and demographic characteristics of target consumers. Expert interviews aimed to determine the customer preference factors by perception of professional experts in relation to the phenomenon under study. The consumer survey questionnaire focuses on all the identified factors that determine the choice of a shopping center. This article identifies theoretical factors for the selection of retail shopping centers, reviews the market trends and peculiarities of Vilnius shopping centers, evaluates the factors for the selection and assess functional, emotional and communicational consumer preferences for the choice of Vilnius shopping centers.