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India is the second largest cellular market in the world after China, with a massive subscriber base of 867.80 million, as of March 2013. Majority of smartphone users are still on 2G network. Budget 4G smartphones coupled with affordable plans, can very well drive 4G growth in India. The most obvious mobile commerce trend is further development. Ye...
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Citations
... The current size of the Indian retail sector is 500 billion USD. This is expected to cross 1.3 trillion USD by 2020 (Muthukumar and Muthu, 2015). The Indian retail landscape is evolving from the brick-and-mortar model to adopt technology for connecting with consumers. ...
Technology centered businesses are highly motivated and accepted in the present Information age. More and more organizations are trying to introduce ICT in their daily operations and making their business leaner and flexible. Brick and Click Retail formats like hypermarkets, specialty stores and Convenience stores are using technological platform, like Internet of Things (IoT) for widening their reach to the customer. This piece of research tries to show the relationship between the cost and the strategy of a retail format with the adaptation of IoT in their operations.
... Smartphone penetration was predicted to rise to 800 million users before the end of 2019 [1]. Younger people are even more likely to use mobile phones; over 25% of retail transactions in India are web-based using mobile phones, with the highest reported use being in the age group of 18-to 34-year-old adults [3]. ...
... Mobile phone use has expanded to health care as well in India, with more people opting for telehealth provider interactions [3]. Thus, there is increased possibility for reaching people, including women, with health care information and support using mobile phones through mobile health (mHealth) interventions. ...
Background:
As mobile phone uptake in India continues to grow, there is also continued interest in mobile platform-based interventions for health education. There is a significant gender gap in mobile phone access-women's access to mobile phones is constrained by economic and social barriers. Pregnancy and postpartum care is one of many targets for mobile health (mHealth) interventions that particularly rely upon women's access to and facility with mobile phone use.
Objective:
We aimed to describe the dynamics and patterns of married pregnant and postpartum women's mobile phone access and use (among both phone owners and nonowners) who participated in an mHealth postpartum care intervention and to identify potential barriers to their participation in mobile platform-based interventions.
Methods:
A secondary analysis was performed on mixed methods data obtained for a pilot mHealth intervention for postpartum care of mothers in rural Punjab from July 2020 to February 2021. Two formative sources included exploratory in-depth interviews among postpartum women (n=20; 1-3 months postpartum) and quantitative maternal health survey among women who were pregnant or who had recently given birth (n=102). We also utilized mixed methods intervention assessment data from early postpartum women who participated in the pilot intervention (n=29), including intervention moderator perspectives. Qualitative and quantitative analyses were performed, and pertinent findings were grouped thematically.
Results:
The majority of women owned a phone (maternal health survey: 75/102, 74%; demographic survey: 17/29, 59%), though approximately half (53/102, 52%) still reported sharing phones with other family members. Sharing a phone with female family members typically allowed for better access than sharing with male family members. Some households had strict preferences against daughters-in-law having phones, or otherwise significantly restricted women's phone access. Others reported concerns about phone use-related health hazards for mother and infant during the pregnancy or postpartum period.
Conclusions:
These findings suggest nuance regarding what is meant by women's phone ownership and access-there were numerous additional constraints on women's use of phones, particularly during pregnancy and the postpartum period. Future research and mHealth interventions should probe these domains to better understand the dynamics governing women's access, use, and fluency with mobile phones to optimally design mHealth interventions.
... They are offering discounts, coupons, adding credits or services in contradiction of application connects and initial purchase merely appeal only to the mobile business. Muthukumar and Muthu (2015), More than 25% of all online shopping deals will take place in the mobile mode by the year 2017. There is no doubt that mobile commerce has been a challenging sales medium. ...
... Choudhary and Choudhary (2013), it is supposed that user trust will play an essential role in the recognition and prevalent disposition of mobile commerce applications. Muthukumar and Muthu (2015), investigated that people between the ages of 18 and 34 are very likely to use their wireless devices as a shopping instrument. Hillman and Neustaedter (2017), the study examines classic m-Commerce habits and behaviours as well as trust issues due to its lengthy-term e-Commerce interest. ...
Purpose of the study: An increasing usage Web in India offers online purchasing opportunities and it has become a popular marketing channel. To open the way for the latest concept called mobile commerce, it created the other catch up. Generally buying intention, offline or online is highly influenced by customer attitude. In the context of mobile shopping, the aim of this present study continues to analyze the variables which influence the attitude of the student towards buying intention. Methodology: This work is quantitative and focused on primary data collected from an online survey from the young millionaire who is all Smartphone users. Based on TAM and UTAUT2 we adopted and modify the model and it was tested on the information set of 533 samples by smart PLS 2.0. Main Findings: The statistical results revealed which performance expectancy, Facilitating condition and social influence have a direct positive effect on attitude. Moreover, the attitude was positively related to Purchase intention among young millionaire. Finally, the research result is analyzed and discussed. Implications are highlighted for the current study and research along with limitations and directions for the future are pointed out. Applications of this study: This article includes particle mobile shopping in India, and it is will promote huge contributions in mobile commerce research. Novelty/Originality of this study: The existing studies survey indicates that a variety of variables were studied in the sense of millennials ' mobile shopping adoption and limited success has been published on these factors. Furthermore, the study has been done to examine millennial attitudes towards mobile shopping adoption and especially to study factors that can influence millennials' shopping attitudes through mobile internet.
... S.Muthukumar, Dr.N.Muthu prove from study that India is the second largest cellular market in the world after China, with a massive subscriber base of 867.80 million, as of March 2013. This shows that in India there is a major role of Mobile-commerce for growth of Indian Economy [31]. ...
... India's retail business is projected to cross US$1.3 trillion by the year 2020 from the current market size of US$500 billion. Modern retail with an infiltration of about 5% is projected to develop approximately six times from the existing US$27 billion to US$220 billion, across all categories and segments (Muthukumar & Muthu, 2015). This will provide a major boost to the m-commerce in the country. ...
The present study aims to review the existing literature relating to emotional intelligence and determine
its relationships with some of its key correlates. The paper is divided into three sections. Section I presents
an insight into three key dimensions of well-being (job satisfaction, affective organizational commitment,
and emotional exhaustion) and their relationship with emotional intelligence. Section II provides a brief
understanding of various types of employee behavior (job performance, turnover intentions, organizational
citizenship behavior, and counterproductive work behavior) and their relationships with the various
dimensions of well-being considered in the present study. The last section presents a proposed theoretical
model of emotional intelligence and its correlates. Implications, limitations, and directions for future research
are also discussed.
... For example, India is the 3rd largest market of the smartphone with around 125 Million users. Again smartphone use is also increasing rapidly with the reduction of price and introduction of 3G and 4G in developing countries [13]. As an example, India ranked 2nd depending on the total number of Internet users from any device. ...
A very important issue with the e-commerce delivery service in most of the emerging economies including India is the last mile connectivity. Delivering products, booked online to the remote tier-2 and tier-3 cities remained "costly". It is observed from firsthand experience with some well-known e-commerce brands in India that their delivery service partners tend to cancel orders that are far away from their tier-2 logistics hubs with the reason shown as "address out of delivery range". Due to low order density in the far flanges of tier-2 and tier-3 cities arranging vehicles and delivery personnel become costly. In this paper, we propose an innovative delivery model to serve the remote areas by opening edge-hubs at selected places and employing local daily commuters for last mile delivery. Identifying the edge-hubs for opening distribution centers is a costly business if done using traditional field surveys. Here we propose the use of telecom call detail record (CDR) location data as an alternate way of identifying the hubs in real time with much less cost and time.
... Muthu prove from the study that India is the second largest cellular market in the world after China, with a massive subscriber base of 867.80 million, as of March 2013. This shows that in India there is a major role of mobile commerce for the growth of Indian economy [13]. ...
Online shopping is a current wonder in the field of E-Business and is unquestionably going to be the eventual fate of shopping in the world. The vast majority of the organizations are running their online portals to offer their product/services online. In spite of the fact that internet shopping is exceptionally normal outside India, its development in Indian Market, which is a vast and vital buyer showcase, is still not in accordance with the worldwide market. The potential development of online shopping has set off directing a study on online shopping in India. The primary objective of the current study is to understand the behavior of Indian online consumer and find out opinion about online shopping to identifying what many factors Indian online consumer takes into consideration when purchasing products online. The data was collected through Questionnaires. Sample sizes of 1014 respondents are taken for the collection of the data. In this paper authors try to find the impact of demographic factor Gender and occupation on various payment method pick by Indian consumer. Authors apply Analysis of Variance (ANOVA) method to test hypothesis. Tool used to do analysis was SPSS. From the results of analysis authors conclude that the demographic factor does impact on payment method pick by consumer in India at 99% significance.
... As the number of internet users grows exponentially, size of database of World Wide Web (WWW) also grows exponentially. It is very difficult to search in huge database manually [5]. So organization of database is major concern as one query has different meaning but we want the correct result. ...
Now days every age group people use online shopping to complete their daily needs. In this research proposal researcher tries to improve TAM model of Mobile commerce for searching of product. For that researcher first conduct an online survey using Google forms to find the factors associated with mobile commerce. By performing statistical analysis researcher calculate load factors associated with these factors which will used to update the class relationship of defined ontology of product for mobile commerce. Researcher will tries to compare various heuristic search algorithms and find out the best algorithm for defined ontology. Finally researcher will try to apply query based search for available ontology and updated ontology and prove that search results are better in updated ontology. The research proposal finally provides output as a recommendation engine for mobile commerce based on heuristic approach.
... Muthu prove from the study that India is the second largest cellular market in the world after China, with a massive subscriber base of 867.80 million, as of March 2013. This shows that in India there is a major role of mobile commerce for the growth of Indian economy [13]. ...
In India, a number of mobile users have grown exponentially in the last decade. Now people spend more time with smartphones rather than personal meeting. Mobile commerce is the growing area of research nowadays. Most of the companies provide better pricing in mobile applications so they involve customer in mobile shopping. In this paper, the authors conduct an online survey on smartphone users in India. They try to find out that the gender of customer is dependent on the amount spent in mobile shopping. The authors analyze 258 data sets and perform test of intendance both parametric and nonparametric. The result of survey gives p value = 0.373 for parametric test and p value = 0.386 for nonparametric test. These results show that customer gender and expenditure done in mobile shopping are related to each other.
... (Muthukumar & Muthu, 2015) in their descriptive paper have highlighted the potential of mobile commerce in India. They cite the availability of budget smartphones availability at EMI plans as the major reason for increasing thrust on mobile commerce by various private players like ICICI Bank. ...
