An Investigative Study of the Mobile Operating System and Handset Preference

Bagga, Teena; Goyal, Aparna; Bansal, Sanjeev

doi:10.17485/ijst/2016/v9i35/92545

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…These results contrast with those obtained in India, where females were found to rely more on look and feel of the handset (design) and brand, followed by price and operating system when buying a mobile handset (Bagga et al , 2016).…”

Section: Resultscontrasting

confidence: 97%

“…These results contradict a study in India (Bagga et al , 2016), where male buyers were found to consider brand image, followed by look and feel of the handset (design), the OS, price and brand image of the OS, in this order, as the most important factors.…”

Section: Resultscontrasting

confidence: 97%

“…A review of past literature found two studies undertaken in Bangladesh (Siddique et al , 2013; Uddin et al , 2014); three in Pakistan (Bukhari et al , 2013; Ahmed and Qazi, 2011; Tanzila et al , 2015); one in Jordan (Al-Mahameed and Al-Shyyab, 2015); one in Hungary (Simay, 2009); six in India (Singla and Bansal, 2011; Nair et al , 2016; Singla and Bansal, 2011; Ganesan and Sridhar, 2014; Bagga et al , 2016; Singh and Goyal, 2009); one in Saudi Arabia (Alqahtani, 2015); one in Ethiopia (Sata, 2013); one in Tanzania (Mramba, 2015); two in Malaysia (Suki, 2013; Mokhlis and Yaakop, 2012); one in Turkey (Kimiloğlu et al , 2010) and two in a more affluent market, Finland (Karjaluoto et al , 2005; Haverila, 2011). Two comparative studies were also found, one comparing consumers in India with those in the USA (Samanta and Banerjee, 2016) and the other studying consumers in the Philippines and Singapore (Seva and Helander, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

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Ranking of choice cues for smartphones using the Best–Worst scaling method

Pinto

Kaynak

Chow

et al. 2019

APJML

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Purpose The number of studies on the use of choice cues in the purchase decision of a smartphone does not appear to be extensive, given the size and rate of growth of the market. Surprisingly, it appears that no study of this type in the Chinese context has been undertaken. Therefore, the purpose of this paper is to fill the existing gap in the marketing literature in this area. Design/methodology/approach Best–Worst (BW) scaling method was used in the study. It is suggested that the method overcomes some of the biases commonly found in surveys where Likert-type scales are used, and it has superior discriminating power, because respondents are asked to rank the most and the least important factor from a group, and are thereby forced to make tradeoffs between factors. Findings Among the 13 choice cues, connectivity, price and memory capacity are found to be the most important, whereas recommendation from others, ease of handling and availability of apps are found to be the least important. Findings due to gender, income and age difference were also analyzed and discussed for orderly decision-making purposes. Practical implications The ranking of factors showing what choice cues consumers consider most or least important in a particular market helps practitioners to develop appropriate adaptation strategies for the market. The comparison of findings for gender, income and age difference can further help practitioners to devise various alternative marketing strategies for different market segments and identify underserved segments, if any. Originality/value The BW scaling method, however, appropriate in ranking order of importance, had never been used in ranking choice cues of smartphone purchase. Moreover, there seems to be a dearth of studies about ranking of choice cues on smartphone purchases in the Chinese context.

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Section: Resultscontrasting

confidence: 97%

Section: Resultscontrasting

confidence: 97%

Section: Literature Reviewmentioning

confidence: 99%

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Ranking of choice cues for smartphones using the Best–Worst scaling method

Pinto

Kaynak

Chow

et al. 2019

APJML

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“…As found by Pinto et al (2019), female preference for smartphones was mostly influenced by the connectivity, price, memory and camera while factors such as connectivity, price, type of operating system and battery capacity influenced the males' preference for a smartphone. Bagga et al (2016) in a study on handset preference observed that the aesthetic appearance and price were the most important features for females while brand image and aesthetic appearance were more important factors to males.…”

Section: Discussionmentioning

confidence: 99%

Comparative Analysis of Smartphone Preference Among Nigerian University Students

Adekunle,

Dimowo

2023

International Journal of Management Studies

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The study comparatively analysed university students’ preference for smartphone brands based on demographic profiles such as gender, age, and usage experience. The study also established whether a significant difference exists in students’ preference for three selected brands of smartphones. The study employed a cross-sectional research design. The study population comprised undergraduate students in a Federal government-owned university in Edo State, Nigeria. The administration and retrieval of the questionnaire used for the study were done electronically via Google Form which was voluntarily filled and submitted by the students. A total of three hundred and ninety (390) responses were received after two weeks of the exercise. Data collected were descriptively analysed using frequency counts and percentages while inferential statistics such as t-test and analysis of variance (ANOVA) were conducted to establish the influence of the different demographic profiles on the students’ preference for smartphone brands. The study found that students’ gender, age and usage experience did not significantly influence their preference for a smartphone. It was also found that Apple and Samsung brands were preferred to Tecno by most of the students. The study concluded that demographic profiles such as gender, age and user experience should not serve as the basis for smartphone manufacturers to differentiate their products but they should sustain and possibly improve their products’ durability, camera quality, long-lasting battery and impressive aesthetic appearance among others.

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“…The key challenge for healthcare over social media and other online websites or blogs is often the content that lacks credibility, quality and reliability. Many researchers that study medicine revealed that information related to health on social networking sites (SNS) is not accurate and complete (Bagga, Goyal, & Bansal, 2016). Moreover, the medical information provided on these SNS is often without any references and are informal in their context.…”

Section: Introductionmentioning

confidence: 99%

Social Media Analytics: Impact & Implications in Healthcare

Vishnoi¹,

Saini

Bagga

2020

IJMTST

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Sharing of ideas, opinions or any information with the help of the medium of virtual networks, online communities and computer-based innovations is known as social media. Blogs, social networking sites like Facebook, WhatsApp, YouTube etc, Microblogging mediums, Photos etc. that run with the help of internet, provides the end-users with swift communication and aids in providing awareness, by influencing large audiences contributes to social media. Healthcare sector is rapidly adapting social media by providing a medium to the patients, physicans and HCP’s to discuss and communicate medical information and knowledge outside the vicinity of a hospital or clinic. These days, patients, their relatives, friends or family use the social media to provide knowledge to the world and educate them incase they have similar ailments. There are several blogs and forums related to medical knowledge where users tend to ask their problems to the physicians and get a reply back to their problems.Medical specialists join such online medical forums that helps them to research in a better manner, refer colleagues, increase their network and read health related articles and updates. With every good thing, comes an attached risk which is related to the use of social mediums, where the image of a Healthcare professional could be at stake due to the unprofessional content against them. There are various limitations to the HCP’s in case they seek to share patient stories online as it could be a case of breach & privacy. Nevertheless, this research study highlights the role played by social media in digitally redefining and empowering healthcare sector from the perspective of clinical and patient centric health literacy and health guides.

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An Investigative Study of the Mobile Operating System and Handset Preference

Cited by 8 publications

References 5 publications

Ranking of choice cues for smartphones using the Best–Worst scaling method

Ranking of choice cues for smartphones using the Best–Worst scaling method

Comparative Analysis of Smartphone Preference Among Nigerian University Students

Social Media Analytics: Impact & Implications in Healthcare

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