Smartphones market
Author: Suraj Amrutkar
MMS – Roll no (0222002)
Kohinoor Business School
Literature Review
Innovative Products, Processes and Practices: Evaluation of Smartphone based Operating Systems and their Market Shares.
GAKHAR, K.; CHAHAL, A. et al.(2023), says that,In this essay, we’ll talk about how smartphones have changed our daily lives and how our need for fast data access and communication has grown. The most common smartphone operating systems are examined, their market shares are compared, and it is determined which operating system is best for business applications, programmers, and general use. The study is founded on secondary information gathered from a variety of sources, such as journals, magazines, newspapers, and online portals. The assessment helps the paper determine which operating system, when compared to other systems, is most beneficial for a given set of characteristics.
The analytics of product-design requirements using dynamic internet data: application to Chinese smartphone market.
LAI, X. et al.(2023), says that, The article talks about two streams of methodologies to optimize a product with Internet data. The first type of method captures consumer preferences about the product by modelling their choice behaviours, while the second type of method looks at the association relationship from data mining. The article suggests that combining these two types of methods, while retaining a theoretically valid style in the model, can be challenging. The article also focuses on demand forecasting using the logit model and dynamic data. The logit model has the advantage of fast computation and has been massively applied to various human behavior analyses, such as product design, travel mode choice, housing, and credit risk analysis. However, the conventional logit model assumes the error term as independently and identically distributed (IID), which cannot account for the correlation of products and the heterogeneity of users and their different perception errors on different products. To resolve this issue, the article suggests assuming a covariance matrix for the products and estimating each element of the matrix from the data. The article also suggests incorporating Bayesian methods to consider other data for model updating.
Determinants of Consumer’s Willingness to Purchase Gray-Market Smartphones.
LIAO, C.-H.; HSIEH, I. et al.(2023), says that,The study analyzes the factors influencing consumers’ willingness to purchase gray-market smartphones, using a model of novelty seeking, status consumption, integrity, and perceived risk, with attitude toward counterfeit as a mediator. A total of 350 respondents were surveyed, and structure equation modeling (SEM) was used in the analysis. The study found that consumers’ attitude toward counterfeit goods is positively related to their willingness to purchase gray-market smartphones, while perceived risk is negatively related. Personality traits such as integrity and status consumption are negatively related to the attitude toward counterfeit goods, while novelty seeking is positively related. The study provides managerial implications for branded smartphone manufacturers and telecommunications regulators.
Factors Influencing 5G Smartphone Purchase Intentions in Vietnamese Market: A Critical Realism Approach.
MINH-DUY LE; SHIRLEY OU YANG. et al.(2023), says that,This article is about a mixed-method study conducted to study the factors that would encourage customers to purchase 5G smartphones. The study was conducted under the critical realism paradigm and found that in addition to common factors such as social influences, product features, price, and aesthetic values, security concerns negatively affect purchase intentions. The research also used qualitative data to discover the generative mechanisms at the origin of structural relationships. Overall, the article suggests that while there is currently a race to develop 5G technology, little attention has been paid to understanding customers’ perspectives on what would encourage them to purchase 5G smartphones.
Different determinants affecting first mover advantage and late mover advantage in a smartphone market: a comparative analysis of Apple iPhone and Samsung Galaxy.
PARK, C. et al.(2023), says that,This study explores the determinants and effects of first mover advantage (FMA) and last mover advantage (LMA) in the smartphone market, using Apple iPhone and Samsung Galaxy as case studies. The research adopts a theory-building methodology from a comparative case study, and identifies market- and firm-level determinants as being more linked with FMA, while the isolating mechanism, environment, and firm-level enablers are useful for explaining FMA. Additionally, the study found that the product-level determinant is closely linked with LMA. This study helps to expand the conceptual framework and allow the mechanism of the entry advantage, with managerial implications for the first and last to exploit their relative strength.
Xiaomi invades the smartphone market in India.
TABASSUM, R.; AHMED, S. et al.(2023), says that,The case study focuses on Xiaomi Corporation, a Chinese public company which is the fourth largest global smartphone company based on total shipments. Xiaomi produces low-cost but high-specification smartphones and is also involved in manufacturing consumer electronics and mobile apps. The company has achieved impressive growth and currently has a 29.7% market share in India. Xiaomi is committed to continuous innovation and has become a global player in the smartphone market in less than a decade. The study analyzes the Indian smartphone market and the business model, marketing mix, and innovative strategies of Xiaomi to identify its strengths, weaknesses, opportunities, and challenges. The results indicate that the company needs to focus on improving the quality of its products, advertising and distribution network in order to face fierce competition and make a game-changer in the near future.
An Assessment of Food Safety Handling Practices at Farmers’ Markets in Rhode Island Using a Smartphone Application.
VANDEPUTTE, E. G. et al.(2023), says that,This study used direct observations and a smartphone application to identify unsafe food handling practises among vendors selling higher-risk produce at farmers’ markets in Rhode Island, USA. According to the study, vendors used risky food handling techniques like eating, talking on the phone, and handling cash before produce. The smartphone app was discovered to be a successful tool for gathering data covertly. The study’s findings might serve as the basis for educational initiatives that encourage farmers’ market managers and vendors to follow the best practises for food safety.
OEM vs module supplier knowledge in the smartphone industry: the impact on the market satisfaction.
VARRIALE, V. et al.(2023), says that,The study aims to evaluate the role of original equipment manufacturer (OEM) and module supplier (MS) knowledge in the smartphone industry, particularly which actor possesses the knowledge that has the greatest impact on market satisfaction. The research combined the concepts of modularity and knowledge management and analyzed the patent portfolio of 16 leading smartphone OEMs and 144 MSs using content analysis to extract information on component knowledge. The study found that the OEM should preserve both a general and specific concentration of component knowledge on the end product to achieve greater market satisfaction, while a positive direct relationship was found between the MS’s general concentration of component knowledge and market satisfaction. This study is one of the first to investigate the final product and knowledge of the components of both actors by filtering patent data using text mining techniques.
Online Trading and Adverse Selection in Smartphone Market.
WARYOBA, F. D. et al.(2023), says that, The document assumes that e-commerce reduces the problem of unfavourable selection in the smartphone market by inducing signalling, thereby reducing the problem of asymmetry of information. The findings of the study support this hypothesis, as high-quality smartphones sell more than low-quality smartphones online. The paper argues that information asymmetry is a major problem in market transactions that can discourage market performance and lead to no markets. The study suggests that e-commerce can be a solution to this problem by reducing negative selection and driving signage.
A Study of Consumer Purchasing Behaviour in Emerging Markets-The Case of Indonesia and Smartphones.
WOLLENBER, A. et al.(2023), says that,The study, using Jakarta as an illustration, looks at consumer purchasing patterns in the West Java smartphone market in Indonesia. In order to understand consumer preferences based on demographic factors, the study focuses on a number of variables, including handset characteristics, operating systems, and country of origin of various smartphone makers. The results of the research may help smartphone manufacturers create successful marketing plans for developing nations. The methodology and specific findings of the study are not covered in the abstract.
Conclusion:
The logit model has the advantage of being fast to compute and has been widely used in human behaviour analyses such as product design, travel mode selection, housing, and credit risk analysis. The article also suggests using Bayesian methods to consider other data when updating models. The study’s findings support this hypothesis, as high-quality smartphones outsell low-quality smartphones online. According to the study, e-commerce can help to solve this problem by reducing negative selection and driving signage. This article discusses a mixed-method study that was conducted to investigate the factors that would entice customers to purchase 5G smartphones. The study’s goal is to assess the role of original equipment manufacturer (OEM) and module supplier (MS) knowledge in the smartphone industry, specifically which actor has the most impact on market satisfaction. The study discovered that in order to achieve greater market satisfaction, the OEM should maintain both a general and specific concentration of component knowledge on the end product, while a positive direct relationship was discovered between the MS’s general concentration of component knowledge and market satisfaction. This study investigates the causes and consequences of first mover advantage (FMA) and last mover advantage (LMA) in the smartphone market, using the Apple iPhone and the Samsung Galaxy. The case study focuses on Xiaomi Corporation, a Chinese public company that ranks fourth in total smartphone shipments worldwide. The study examines the Indian smartphone market as well as Xiaomi’s business model, marketing mix, and innovative strategies to identify the company’s strengths, weaknesses, opportunities, and challenges. Using a model of novelty seeking, status consumption, integrity, and perceived risk, the study examines the factors influencing consumers’ willingness to purchase gray-market smartphones, with attitude towards counterfeit acting as a mediator. The research has managerial implications for branded smartphone manufacturers and telecom regulators.The research is based on secondary data gathered from a variety of sources, including journals, magazines, newspapers, and online portals. The evaluation assists the paper in determining which operating system, when compared to other systems, is most advantageous for a given set of characteristics. The findings of the study could assist smartphone manufacturers in developing successful marketing strategies for developing countries. The abstract does not discuss the study’s methodology or specific findings. The smartphone app was discovered to be a successful covert data collection tool. The study’s findings could form the basis for educational initiatives to encourage farmers’ market managers and vendors to adhere to food safety best practises.
Reference:
GAKHAR, K.; CHAHAL, A. Innovative Products, Processes and Practices: Evaluation of Smartphone based Operating Systems and their Market Shares. Amity Management Review, [s. l.], v. 5, n. 2, p. 54–61, 2016. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=0ee6a652-2201-36fb-ada3-c3c513159489. Acesso em: 14 maio. 2023.
LAI, X. et al. The analytics of product-design requirements using dynamic internet data: application to Chinese smartphone market. International Journal of Production Research, [s. l.], v. 57, n. 18, p. 5660–5684, 2019. DOI 10.1080/00207543.2018.1541200. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=c1aaaf92-995c-3260-8155-87ea561bba31. Acesso em: 14 maio. 2023.
LIAO, C.-H.; HSIEH, I. Determinants of Consumer’s Willingness to Purchase Gray-Market Smartphones. Journal of Business Ethics, [s. l.], v. 114, n. 3, p. 409–424, 2013. DOI 10.1007/s10551-012-1358-7. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=f0dc6e8c-65ca-34e1-a44d-2bff7fda6d64. Acesso em: 14 maio. 2023.
MINH-DUY LE; SHIRLEY OU YANG. Factors Influencing 5G Smartphone Purchase Intentions in Vietnamese Market: A Critical Realism Approach. Journal of Marketing Development & Competitiveness, [s. l.], v. 15, n. 1, p. 45–80, 2021. DOI 10.33423/jmdc.v15i1.4169. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=3863ff55-821f-3703-bb3b-d029a574e90b. Acesso em: 14 maio. 2023.
PARK, C. Different determinants affecting first mover advantage and late mover advantage in a smartphone market: a comparative analysis of Apple iPhone and Samsung Galaxy. Technology Analysis & Strategic Management, [s. l.], v. 34, n. 3, p. 274–289, 2022. DOI 10.1080/09537325.2021.1895104. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=9e22df4c-d2a1-3e1d-a459-74d43d99bbaa. Acesso em: 14 maio. 2023.
TABASSUM, R.; AHMED, S. Xiaomi invades the smartphone market in India. Decision (0304-0941), [s. l.], v. 47, n. 2, p. 215–228, 2020. DOI 10.1007/s40622-020-00242-w. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=ee5899ed-ca37-3e1e-b215-4ada28a2ab75. Acesso em: 14 maio. 2023.
VANDEPUTTE, E. G. et al. An Assessment of Food Safety Handling Practices at Farmers’ Markets in Rhode Island Using a Smartphone Application. Food Protection Trends, [s. l.], v. 35, n. 6, p. 428–439, 2015. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=837ef587-bf5d-3b2b-9873-8e8995d0f812. Acesso em: 14 maio. 2023.
VARRIALE, V. et al. OEM vs module supplier knowledge in the smartphone industry: the impact on the market satisfaction. Journal of Knowledge Management, [s. l.], v. 26, n. 11, p. 166–187, 2022. DOI 10.1108/JKM-12-2021-0913. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=ad1da32d-e03a-3297-ba03-33880eafd9c7. Acesso em: 14 maio. 2023.
WARYOBA, F. D. Online Trading and Adverse Selection in Smartphone Market. Academic Journal of Economic Studies, [s. l.], v. 4, n. 4, p. 96–101, 2018. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=ae53a96c-7745-317c-ab19-9292b4960990. Acesso em: 14 maio. 2023.
WOLLENBER, A. A Study of Consumer Purchasing Behaviour in Emerging Markets-The Case of Indonesia and Smartphones. Global Journal of Emerging Trends in e-Business, Marketing & Consumer Psychology, [s. l.], v. 2, n. 1, p. 361–379, 2016. Disponível em: https://discovery.ebsco.com/linkprocessor/plink?id=aad0e30a-790f-3964-8eab-5040cec68b63. Acesso em: 14 maio. 2023.