An Assessment of the Impact of the COVID-19 Pandemic on Consumer Behavior Using the Analytic Hierarchy Process Model

Sustainability, Journal Year: 2023, Volume and Issue: 15(20), P. 15104 - 15104

Published: Oct. 20, 2023

Consumer behavior is dynamic and can shift rapidly due to various factors. The COVID-19 pandemic introduced unprecedented market disruptions, prompting unique consumer reactions. Our foundational study dissected factors affecting habits, laying the groundwork for a focused analysis of how individual consumption was impacted during pandemic. Significantly, psychological influences emerged as key determinant in our prior findings, leading us centralize pandemic’s effect recent research. We undertook this using data from 559 participants Republic Croatia. Utilizing Analytic Hierarchy Process (AHP), typically applied analyses decision making businesses, we ranked on purchasing patterns amidst findings underscored profound influence these resulting implications sustainable development. This highlights urgency businesses adopt flexible strategies that also support overarching sustainability objectives. objective analyze impact understand influencing behavior. main contribution work identification ranking AHP model, well understanding behavioral changes future planning.

Language: Английский

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Analysing changes in grocery shopping trips after COVID-19: Nagpur case study

Transportation Research Part D Transport and Environment, Journal Year: 2024, Volume and Issue: 128, P. 104073 - 104073

Published: Jan. 26, 2024

Language: Английский

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Changes in online and in-store shopping behaviour pre- and post-COVID-19: a case study from Indian city Nagpur

Transportation Planning and Technology, Journal Year: 2023, Volume and Issue: 46(6), P. 710 - 728

Published: June 21, 2023

The recent COVID-19 pandemic brought the physical and virtual worlds closer expedited adoption of online shopping. In context pre- post-COVID-19 scenarios, this paper establishes relationship between growth in shopping, shift in-store grocery non-grocery shopping trips, reciprocity among variables. A random sample 1646 household responses from Nagpur city was used to develop multiple regression models explore interrelationship these activities their impact on conventional travel demand. Model results show complex interplay socio-demographic behaviour findings suggest incorporating impacts into demand forecasting models. It also highlights possible effects urban land use transport planning. Finally, study suggests integrating planning at activity level for a comprehensive approach.

Language: Английский

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Assessment of Impact of COVID-19 Pandemic on Consumer Behavior Using the AHP Model

Published: Aug. 3, 2023

Consumer behavior is unpredictable. The accelerated pace of life and daily changes in the desires preferences each individual require significant marketing efforts to fulfill needs. impact COVID-19 pandemic has created disruptions market which consumers have responded a specific way. Our previous research on this topic [11], included an analysis various factors that influence consumer habits, was basis for new, more detailed consumption. results our set psy-chological as factor behavior. That main reason we put at center research. conducted existing sample 559 respondents Republic Croatia. data obtained by questionnaire were used develop hierarchical model. Analytic Hierarchy Process (AHP) model based deci-sion-making rank influences due pandemic. These had buying habits.

Language: Английский

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Modeling of COVID-19’s impact on employee’s travel behavior

Innovative Infrastructure Solutions, Journal Year: 2023, Volume and Issue: 8(7)

Published: June 24, 2023

Language: Английский

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Assessing the Impact of E-Commerce of a Footwear Vendor in Malaysia Through a Structural Equation Modeling Approach

World, Journal Year: 2024, Volume and Issue: 5(4), P. 1307 - 1334

Published: Dec. 5, 2024

Businesses are leveraging digital technology through e-commerce platforms as a strategy to continue operating following the movement control order (MCO). Online shopping, subset of platforms, allows consumers browse, select, and purchase products using interfaces. Unfortunately, there is lack understanding how this platform can impact customer behavior. Therefore, study aims develop new knowledge behavior assess relationship between consumer e-service quality in online shopping better understand provided by vendor Malaysia. A novel model has been developed investigated. Survey questionnaires were distributed tested structural equation modeling (SEM) 200 customers who had experienced during COVID-19. The finding revealed that website design, security/privacy, fulfillment statistically correlated with quality. However, service not significantly Meanwhile, e-services related This shows provide good post-COVID-19. therefore predicted boost economy country, but also want high-quality continue. Retailers improve their storefronts, engage customers, promote responsible consumption.

Language: Английский

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Optimizing the Location of Virtual-Shopping-Experience Stores Based on the Minimum Impact on Urban Traffic

Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 9988 - 9988

Published: June 23, 2023

In order to enhance consumers’ experience of online shopping and reduce their unnecessary car trips for offline shopping, a new mode, namely, establishing the virtual-shopping-experience store, is proposed in this paper. A bi-level programming model then built with aim optimizing location stores. The upper-level submodel utilized optimize stores, as well selection virtual-reality (VR) devices purchased by maximizing social welfare generated from reducing after establishment lower-level binary Logit model, one which calculates probability choices between according locations stores output submodel. genetic algorithm adopted solve model. To validate accuracy that algorithm, case studies are carried out based on real data collected Dalian Ningbo (two cities China). study result demonstrates would contribute frequency distance time spent shopping.

Language: Английский

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JS-03 Workload Assessment for the push and pull task of couriers

The Japanese Journal of Ergonomics, Journal Year: 2023, Volume and Issue: 59(Supplement), P. JS - 03

Published: Sept. 7, 2023

Pushing and pulling activities cause work-related musculoskeletal disorders (WMSDs). COVID-19 has dramatically increased online shopping courier services. The purpose of this study was to examine the physical subjective workload associated with pushing hand trucks rolltainers. EMG perceived exertion were used assess push/pull task. Pulling requires more muscle activity than pushing, a rolltainer truck, according results. is considered be harder push, while truck difficult pull.

Language: Английский

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Assessment of couriers’ workload for trolley push and pull

2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Journal Year: 2023, Volume and Issue: unknown, P. 296 - 299

Published: Oct. 16, 2023

It is common for couriers to move their trolleys around using a manual push or pull mechanism. There an increased risk of developing work-related musculoskeletal disorders (WMSDs) as result repetitive pushing and pulling activities. In the years following COVID-19, number online shoppers express courier services has grown dramatically. This study examined physical subjective workloads associated with pushing/pulling hand trucks carts delivery services. A push/pull task was assessed based on EMG signal perception exertion during task. conducted 23 professional workers participating in study. Participants pulled pushed 58 kg water packages loaded repeatedly part experiment. As participants performed experiment, upper body muscle activities varied between 1.32 15.46 %MVC. shows that when are moved, BIC UT less activated than TRI ES. Hand require use greater amount trucks. significant increase activity instead them. subjectively considered light work perform experiment tasks. cart, reported arm discomfort significantly low back discomfort. Back pain believed be more intense shoulder pain. Using results, AR/VR systems can developed order estimate workload train them accordingly.

Language: Английский

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