Online Reviews and Ratings on Mid-segment Mobile Phones: A Perception Study

Authors

  • Dr. Sundar Raj Vijayanagar Professor, IFIM Business School, Bangalore Author
  • A. Nithin PGDM Student, IFIM Business School, Bangalore Author
  • Sachidanand Rath PGDM Student, IFIM Business School, Bangalore. Author
  • Rahul Ranjan PGDM Student, IFIM Business School, Bangalore Author
  • Dr. Siddharth Misra Adjunct Professor, IFIM Business School, Bangalore Author

DOI:

https://doi.org/10.61841/gnbwbg08

Keywords:

Reviews and Ratings, Consumer Perception, Demographical Influence, Purchase Decision, Midsegment Mobile Phones

Abstract

 Purpose: This study aims to understand the influence of reviews and ratings on the purchase decision of mid-segment mobile phones based on the demographic profile.

Design/Methodology/Answer: Primary data was collected from 200 respondents with the help of a structured questionnaire. Multistage regression using SPSS version 20.0 was adopted to analyze and interpret the results of the collected data.

Findings: It was found that demographical characteristics have an influence on purchase decisions based on the reviews and ratings they read on mid-segment mobile phones. Income range has a significant effect on the decision-making. Also, our study has suggested that the age group and gender have no impact on reviews.

Practical Implications: This study is important to know how consumers perceive reviews and ratings. Moreover, it is useful for marketers to understand and study the current demand for the product based on the demographic profile, and it will help to elevate the demand to the most desired state.

Originality/Value: This paper focuses on filling the gap of demographical influence on purchase decision by reviewing and rating mid-segment mobile phones 

Downloads

Download data is not yet available.

References

[1] Lee, J., Park, D.H., & Han, I. (2008). The effect of negative online consumer reviews on product attitude:

An information processing view. Electronic commerce research and applications, 7(3), 341-352.

[2] Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product

and consumer characteristics. Journal of marketing, 74(2), 133-148.

[3] Cui, G., Lui, H.K., & Guo, X. (2012). The effect of online consumer reviews on new product

sales. International Journal of Electronic Commerce, 17(1), 39-58.

[4] Hu, N., Pavlou, P.A., & Zhang, J. (2006, June). Can online reviews reveal a product's true quality?:

empirical findings and analytical modelling of Online word-of-mouth communication. In Proceedings of

the 7th ACM conference on Electronic commerce (pp. 324-330). ACM.

[5] Dellarocas, C., Gao, G., & Narayan, R. (2010). Are consumers more likely to contribute online reviews for

hit or niche products? Journal of Management Information Systems, 27(2), 127-158.

[6] Li, X., & Hitt, L.M. (2008). Self-selection and information role of online product reviews. Information

Systems Research, 19(4), 456-474.

[7] Sun, M. (2012). How does the variance of product ratings matter? Management Science, 58(4), 696-707.

[8] Boo, S., & Busser, J.A. (2018). Meeting planners' online reviews of destination hotels: A twofold content

analysis approach. Tourism Management, 66, 287-301.

[9] Banerjee, S., Bhattacharyya, S., & Bose, I. (2017). Whose online reviews to trust? Understanding reviewer

trustworthiness and its impact on business. Decision Support Systems, 96, 17-26.

[10] Babić Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T.H. (2016). The effect of electronic word of

mouth on sales: A meta-analytic review of platform, product, and metric factors. Journal of Marketing

Research, 53(3), 297-318.

[11] Salehan, M., & Kim, D.J. (2016). Predicting the performance of online consumer reviews: A sentiment

mining approach to big data analytics. Decision Support Systems, 81, 30-40.

[12] Floyd, K., Freling, R., Alhoqail, S., Cho, H.Y., & Freling, T. (2014). How online product reviews affect

retail sales: A meta-analysis. Journal of Retailing, 90(2), 217-232.

[13] Kandampully, J., Zhang, T., & Bilgihan, A. (2015). Customer loyalty: a review and future directions with a

special focus on the hospitality industry. International Journal of Contemporary Hospitality

Management, 27(3), 379-414.

[14] Shirdastian, H., & Laroche, M. (2017). Motivations for Shopping Channel Preferences and Purchase

Intentions: The Moderating Role of Involvement (A Structured Abstract). In Creating Marketing Magic

and Innovative Future Marketing Trends (pp. 705-712). Springer, Cham.

[15] Singh, J.P., Irani, S., Rana, N.P., Dwivedi, Y.K., Saumya, S., & Roy, P.K. (2017). Predicting the

“helpfulness” of online consumer reviews. Journal of Business Research, 70, 346-355.

[16] Filieri, R., McLeay, F., Tsui, B., & Lin, Z. (2018). Consumer perceptions of information helpfulness and

determinants of purchase intention in online consumer reviews of services. Information & Management.

[17] Maslowska, E., Malthouse, E.C., & Viswanathan, V. (2017). Do customer reviews drive purchase

decisions? The moderating roles of review exposure and price. Decision Support Systems, 98, 1-9.

[18] Hu, M., Gao, J., & Wang, S. (2017, June). How do consumers make online brand decision? In Service

Systems and Service Management (ICSSSM), 2017 International Conference on (pp. 1-6). IEEE.

[19] Gensler, S., Völckner, F., Egger, M., Fischbach, K., & Schoder, D. (2015). Listen to your customers:

Insights into brand image using online consumer-generated product reviews. International Journal of

Electronic Commerce, 20(1), 112-141.

[20] Lee, E.J., & Shin, S. Y. (2014). When do consumers buy online product reviews? Effects of review quality,

product type, and reviewer’s photo. Computers in Human Behavior, 31, 356-366.

[21] Liu, Z., & Park, S. (2015). What makes a useful online review? Implication for travel product

websites. Tourism Management, 47, 140-151.

[22] Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain

informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261-1270.

[23] Trujillo-Ortiz, A., Hernandez-Walls, R., Castro-Perez, A., Barba-Rojo, K., & Otero-Limon, A. (2006).

kmo: Kaiser-Meyer-Olkin Measure of Sampling Adequacy. A MATLAB file.[WWW document]. URL

http://www. mathworks. com/matlabcentral/fileexchange/loadFile. do.

[24] Tobias, S., & Carlson, J.E. (1969). Brief report: Bartlett's test of sphericity and chance findings in factor

analysis. Multivariate Behavioral Research, 4(3), 375-377.

[25] Foroughi, A., Buang, N.A., Senik, Z.C., & Hajmisadeghi, R. S. (2013). Impulse buying behavior and

moderating role of gender among Iranian shoppers. Journal of Basic and Applied Scientific Research, 3(4),

760-769.

[26] Hu, N., Liu, L., & Zhang, J.J. (2008). Do online reviews affect product sales? The role of reviewer

characteristics and temporal effects. Information Technology and Management, 9(3), 201-214.

[27] Hu, N., Koh, N. S., & Reddy, S.K. (2014). Ratings lead you to the product, reviews help you clinch it? The

mediating role of online review sentiments on product sales. Decision support systems, 57, 42-53.

[28] Zhang, K.Z., Zhao, S.J., Cheung, C.M., & Lee, M.K. (2014). Examining the influence of online reviews on

consumers' decision-making: A heuristic-systematic model. Decision Support Systems, 67, 78-89.

[29] Jiménez, F.R., & Mendoza, N.A. (2013). Too popular to ignore: The influence of online reviews on

purchase intentions of search and experience products. Journal of Interactive Marketing, 27(3), 226-235.

[30] Lin, C.L., Lee, S.H., & Horng, D.J. (2011). The effects of online reviews on purchasing intention: The

moderating role of need for cognition. Social Behavior and Personality: an international journal, 39(1),

71-81.

[31] Dou, X., Walden, J.A., Lee, S., & Lee, J.Y. (2012). Does source matter? Examining source effects in online

product reviews. Computers in Human Behavior, 28(5), 1555-1563

Downloads

Published

30.08.2019

How to Cite

Online Reviews and Ratings on Mid-segment Mobile Phones: A Perception Study. (2019). International Journal of Psychosocial Rehabilitation, 23(3), 906-916. https://doi.org/10.61841/gnbwbg08