Understanding Consumer Perceptions of Online Mango Buying in Bangladesh

Aims: The rapid advancement and widespread accessibility of the internet have significantly boosted the popularity of e-commerce, transforming consumer lifestyles, purchasing habits, and daily routines. The study has been designed to examine consumers’ attitude towards online purchasing of mango in Bangladesh. This will assist future and in-depth studies relating to the marketing of perishable goods. Study Design: This study was based on primary data. For this, primary data was collected from 145 consumers who have already purchased mango online by using a convenience sampling technique. Place and Duration of Study: Data were collected with the help of an e-questionnaire of Google form sent via email, Facebook, and Messenger during the month of June-July 2022 from all over the country. Methodology: Descriptive statistics such as mean, frequency, percentage were also used to analyze the socio-demographic profile of the consumers using likert scale. Results: The study found 14 statements fell under the continuum of favorableness attitude among the 17 statements. About 74 percent of consumers showed their favorable attitude towards online purchasing mangoes. Conclusion: The study indicates that consumers overall attitude towards online purchasing was positive, and this could be an emerging sector for Bangladesh.

Authors

Institutions

Publication Details

Journal
Asian Journal of Economics Business and Accounting
Published
2025-09-01
DOI
https://doi.org/10.9734/ajeba/2025/v25i91964
Primary Topic
Innovation and Socioeconomic Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Consumer Perceptions of Online Mango Buying in Bangladesh

Esrat Jahan, Hurunnahar Khushi, Sarah Yasmin, Md Moniruzzaman et al.
Asian Journal of Economics Business and Accounting
Innovation and Socioeconomic Development
article

Understanding Consumer Perceptions of Online Mango Buying in Bangladesh

Esrat Jahan, Hurunnahar Khushi, Sarah Yasmin, Md Moniruzzaman, Md. Abdullah Al Noman
article en

Abstract

Aims: The rapid advancement and widespread accessibility of the internet have significantly boosted the popularity of e-commerce, transforming consumer lifestyles, purchasing habits, and daily routines. The study has been designed to examine consumers’ attitude towards online purchasing of mango in Bangladesh. This will assist future and in-depth studies relating to the marketing of perishable goods. Study Design: This study was based on primary data. For this, primary data was collected from 145 consumers who have already purchased mango online by using a convenience sampling technique. Place and Duration of Study: Data were collected with the help of an e-questionnaire of Google form sent via email, Facebook, and Messenger during the month of June-July 2022 from all over the country. Methodology: Descriptive statistics such as mean, frequency, percentage were also used to analyze the socio-demographic profile of the consumers using likert scale. Results: The study found 14 statements fell under the continuum of favorableness attitude among the 17 statements. About 74 percent of consumers showed their favorable attitude towards online purchasing mangoes. Conclusion: The study indicates that consumers overall attitude towards online purchasing was positive, and this could be an emerging sector for Bangladesh.

Asian Journal of Economics Business and AccountingVol. 25(9)
Bangladesh Agricultural University (BD)
Openalex Percentile: Top 56%
Innovation and Socioeconomic Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.