The Evolution and Future Trend Analysis of Consumers Preference for Mobile Phone Hardware

The mobile phone market has experienced continuous expansion, making the price of mobile phones an increasingly crucial factor to discuss. This paper explores the impact of mobile phone hardware on pricing, with a focus on changes over time. Using multiple linear regression models, the study analyses two datasets from Kaggle: one detailing 2023 phone prices and another predicting future prices. Key hardware factors examined include storage, RAM, screen size, and battery capacity. Comparisons between models are made, and reveal that while storage, RAM, and screen size positively correlate with prices, battery capacity shows a negative correlation in 2023. In contrast, predicted future prices show positive correlations for all factors except screen size, which becomes statistically insignificant. The study concludes that the influence of hardware on phone prices is expected to decrease, and consumers are likely to prioritise storage and battery capacity more among hardware. For future research, more relevant data could be taken to make the result more accurate.

Authors

Publication Details

Journal
Highlights in Business Economics and Management
Published
2024-12-24
DOI
https://doi.org/10.54097/dsbfv148
Citations
1
Primary Topic
Consumer Perception and Purchasing Behavior
Type
article
Field-Weighted Citation Impact
0.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Evolution and Future Trend Analysis of Consumers Preference for Mobile Phone Hardware

Yukuan Jerry Li
1 citations
Highlights in Business Economics and Management
Consumer Perception and Purchasing Behavior
0.44
article

The Evolution and Future Trend Analysis of Consumers Preference for Mobile Phone Hardware

Yukuan Jerry Li
article en
1 citations

Abstract

The mobile phone market has experienced continuous expansion, making the price of mobile phones an increasingly crucial factor to discuss. This paper explores the impact of mobile phone hardware on pricing, with a focus on changes over time. Using multiple linear regression models, the study analyses two datasets from Kaggle: one detailing 2023 phone prices and another predicting future prices. Key hardware factors examined include storage, RAM, screen size, and battery capacity. Comparisons between models are made, and reveal that while storage, RAM, and screen size positively correlate with prices, battery capacity shows a negative correlation in 2023. In contrast, predicted future prices show positive correlations for all factors except screen size, which becomes statistically insignificant. The study concludes that the influence of hardware on phone prices is expected to decrease, and consumers are likely to prioritise storage and battery capacity more among hardware. For future research, more relevant data could be taken to make the result more accurate.

Highlights in Business Economics and ManagementVol. 45
Openalex Percentile: Top 24%
Consumer Perception and Purchasing Behavior
0.44
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.

The Evolution and Future Trend Analysis of Consumers Preference for Mobile Phone Hardware — Yukuan Jerry Li · Highlights in Business Economics and Management (2024) | TGRS Research Map | TGRS