Consumer Perception to Mobile Commerce

2016 ◽  
pp. 217-233 ◽  
Author(s):  
Neeru Kapoor
Keyword(s):  
Mobile Devices ◽  
Government Regulation ◽  
Slow Growth ◽  
Mobile Commerce ◽  
Consumer Perception ◽  
Service Convenience ◽  
Lack Of Information ◽  
Better Than

Consumers' perception and opinion about mobile commerce activities play a very important role in their success. Industry people should understand consumers' worries, fears and phobias Slow connections, privacy and threat of government regulation has played an important role in limiting the growth of mobile commerce. Lack of information about mobile commerce is also one of the biggest problems being faced by the industry people. Moreover, most consumers are not totally convinced about buying something from their mobile devices as they do not consider it a satisfactory experience. Sticking to the traditional ways of shopping is another major factor in the slow growth of mobile commerce. Mobile customers have raised expectations in terms of service, convenience, speed of delivery. The difficult tasks for m-commerce is to ensure consumers' trust by making them feel comfortable with wireless transactions. It is important to find solutions to their consumer problems and serve them better than the competitors and provide them with relevant incentives to keep them coming back again.

scholarly journals Research on the Use of Mobile Devices and Headphones on Pedestrian Crossings—Pilot Case Study from Slovakia

Safety ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 17
Author(s):  
Miroslava Mikusova ◽  
Joanna Wachnicka ◽  
Joanna Zukowska
Keyword(s):  
Mobile Phone ◽  
Mobile Devices ◽  
Mobile Phones ◽  
Slovak Republic ◽  
Pedestrian Behavior ◽  
The Road ◽  
Phone Calls ◽  
Lack Of Information ◽  
Interaction Factor ◽  
Future Work

The topic of the use of mobile devices and headphones on pedestrian crossings is much less explored in comparison to the use of the mobile phone while driving. Recent years have seen many discussions on this issue, especially in foreign countries. The Slovak Republic, however, has not been giving it enough attention (and it is not mentioned in the National Road Safety Plan for the Slovak Republic from 2011 to 2020). This paper aims to draw attention to this issue. It presents basic outputs of a pilot study on pedestrian safety, with a focus on the use of mobile devices and headphones at selected non-signalized pedestrian crossings in three Slovak cities. Overall, 9% of pedestrians used headphones or mobile devices at observed pedestrian crossings (4% of them used headphones, 1% used headphones and at same time used their mobile phone, 2% made phone calls and 2% used their mobile phones). While these numbers can be considered relatively low, the study proved that during weekdays every 2 min someone was using the crossing without fully focusing on crossing the road safely. Another main finding was that although the safety risk at pedestrian crossings is increased by factors such as rush hour traffic or reduced visibility, pedestrian behavior related to the use of mobile phones and headphones does not change. A safety assessment was also carried out at the crossings. The results show that pedestrian behavior is not affected by the level of safety of the crossing (e.g., visibility of the crossing for drivers). The results of the presented analysis suggest that action is needed to change that. Due to the lack of information about accidents involving pedestrians using mobile phones and headsets when crossing the road, no relevant statistical data could be analyzed. The dataset collected can be used as a basis for further investigation or comparisons with other countries of the relevant indicators. In future work, we would like to include a pedestrian–driver interaction factor focusing on driver speed behavior in relation to pedestrians (who are on or are about to step onto a pedestrian crossing) and identify critical situations caused by improper behavior of drivers and/or pedestrians. This will help to understand speed adjustment problems related to pedestrian crossings.

Improving U-Net architecture and graph cuts optimization to classify arterioles and venules in retina fundus images

2021 ◽  
pp. 1-12
Author(s):  
Nguyen Thanh Binh ◽  
Nguyen Mong Hien ◽  
Dang Thanh Tin
Keyword(s):  
Graph Cuts ◽  
The Other ◽  
Retinal Vessels ◽  
Fundus Images ◽  
Vascular Structure ◽  
Vascular Changes ◽  
Lack Of Information ◽  
Retinal Artery ◽  
Diagnostic Indicator ◽  
Better Than

The central retinal artery and its branches supply blood to the inner retina. Vascular manifestations in the retina indirectly reflect the vascular changes and damage in organs such as the heart, kidneys, and brain because of the similar vascular structure of these organs. The diabetic retinopathy and risk of stroke are caused by increased venular caliber. The degrees of these diseases depend on the changes of arterioles and venules. The ratio between the calibers of arterioles and venules (AVR) is various. AVR is considered as the useful diagnostic indicator of different associated health problems. However, the task is not easy because of the lack of information of the features being used to classify the retinal vessels as arterioles and venules. This paper proposed a method to classify the retinal vessels into the arterioles and venules based on improving U-Net architecture and graph cuts. The accuracy of the proposed method is about 97.6%. The results of the proposed method are better than the other methods in RITE dataset and AVRDB dataset.

Impression management for corporate brands over mobile media

2018 ◽  
Vol 27 (4) ◽  
pp. 385-403 ◽  
Author(s):  
Dara G. Schniederjans ◽  
Stephen A. Atlas ◽  
Christopher M. Starkey
Keyword(s):  
Mobile Devices ◽  
Impression Management ◽  
Purchase Intentions ◽  
Consumer Perception ◽  
Mobile Media ◽  
Corporate Brand ◽  
Content Type ◽  
Impression Management Tactics ◽  
Corporate Brands ◽  
Management Tactics

Purpose As organizations increasingly engage with consumers over mobile devices, there is a growing need to understand how consumers react to impression management over platforms with limited textual content. The purpose of this paper is to empirically assess how different impression management tactics can be used in mobile media to enhance consumer perception-attitude-intentions toward a corporate brand. Design/methodology/approach We surveyed 670 consumers and estimate structural equation models and repeated-measures ANOVAs to determine how short passages employing alternate impression management tactics influence consumers’ perceptions, attitudes and purchase intentions. Findings Results reveal that each impressions management tactic (i.e. ingratiation, intimidation, organizational promotion, supplication and exemplification) influences consumer perceptions, attitudes and intentions. The authors compare differences in how the impressions management tactics influence each stage of the perception-attitude-intentions model and find evidence that initial differences in perceptions favoring ingratiation and exemplification appeals become magnified for purchase intentions. Research limitations/implications Recent calls for research focus on an understanding of how consumers process information on reduced-content platforms of small-screened mobile devices. These results provide empirical evidence of the use of impression management and the difference between five impression management tactics on enhancing consumer perception-attitude-intentions model. Practical implications The results of this study will provide marketers with insights to optimize communications and corporate brands with consumers over mobile media. Originality/value This paper adds to the nascent yet vital literature on mobile marketing by focusing on how impression management tactics influence perceptions, attitudes and intentions through the short message characteristic of mobile platforms. The authors develop a framework for how corporate brand management can strategically use impressions management tactics in this novel domain.

Present and Future of Mobile Commerce

2018 ◽  
pp. 1431-1447
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

Mobile Commerce Security and Its Prevention

2018 ◽  
pp. 433-449
Author(s):  
Mona Adlakha
Keyword(s):  
Mobile Devices ◽  
Best Practice ◽  
Personal Data ◽  
Mobile Commerce ◽  
Mitigation Strategies ◽  
Risk Prevention ◽  
Third Party ◽  
Security Measures ◽  
Security Risk ◽  
Security Standards

Mobile commerce is the next generation of e-commerce, where payments and financial transactions can be carried out with utmost ease using handheld mobile devices. Mobile devices are at a higher security risk due to the large amount of critical financial and personal data available on it. The cause or consequence of these threats could be - malware and spyware attacks; multiple or incorrect m-Commerce payments; breaches due to unauthorized access or disclosure, unauthenticated transactions and risk due to the use of third party networks. This chapter discusses how to manage security risks in m-commerce by first identifying them and then discussing preventive measures for their mitigation. A continuous approach for risk prevention needs to be followed, reviewing the strategy according to the latest challenges. Various risk prevention and mitigation strategies can be adopted. Service providers must follow physical and digital security measures to protect consumer's business information. Independent auditing should ensure compliance with best practice security standards.

Mobile Commerce Use among UK Mobile Users Based on a Proposed Mobile Network Utilization Framework

2012 ◽  
pp. 166-199
Author(s):  
Asem Moqbel ◽  
Mirella Yani-Di-Soriano ◽  
Shumaila Yousafzai
Keyword(s):  
Mobile Devices ◽  
Strong Support ◽  
Mobile Network ◽  
Mobile Commerce ◽  
Mobile Users ◽  
Network Utilization ◽  
Task Technology Fit ◽  
Mobile Task

This paper examines UK mobile users’ perceptions of m-commerce utilization. For this purpose, the study has devised a Mobile Network Utilization Model that was empirically tested in experimental settings. The empirical findings revealed strong support for the capability of the proposed utilization model in measuring the concept of Mobile Task-Technology Fit (MTTF) and explaining the utilization of m-commerce services among UK mobile users. In particular, the research found that MTTF and m-commerce utilization are dependent on the interactions between the key components of a wider mobile network, that is mobile devices, mobile tasks, mobile operators, as well as mobile vendors. Fifteen factors were identified as a result of such interaction and the importance of these factors in explaining MTTF and the actual utilization of m-commerce services was empirically asserted.

Mobile Commerce Use among UK Mobile Users

2012 ◽  
pp. 78-111 ◽  
Author(s):  
Asem Moqbel ◽  
Mirella Yani-De-Soriano ◽  
Shumaila Yousafzai
Keyword(s):  
Mobile Devices ◽  
Strong Support ◽  
Mobile Network ◽  
Mobile Commerce ◽  
Mobile Users ◽  
Network Utilization ◽  
Task Technology Fit ◽  
Mobile Task

In this paper, the authors examine UK mobile users’ perceptions of m-commerce utilization. For this purpose, the authors devise a Mobile Network Utilization Model empirically tested in experimental settings. The empirical findings reveal strong support for the capability of the proposed utilization model in measuring the concept of Mobile Task-Technology Fit (MTTF) and explaining the utilization of m-commerce services among UK mobile users. In particular, their research finds that MTTF and m-commerce utilization are dependent on the interactions between the key components of a wider mobile network, namely mobile users, mobile devices, mobile tasks, mobile operators, as well as mobile vendors. The authors identify 15 factors as a result of such interaction and the importance of these factors in explaining MTTF and the utilization of m-commerce services.

Present and Future of Mobile Commerce

2016 ◽  
pp. 293-308 ◽  
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

Using Mobile Devices for Electronic Commerce

2011 ◽  
pp. 913-917
Author(s):  
Raul Fernandes Herbster ◽  
Hyggo Almeida ◽  
Angelo Perkusich
Keyword(s):  
Electronic Commerce ◽  
Mobile Devices ◽  
Mobile Device ◽  
Fast Food ◽  
Mobile Commerce

In this article, we describe an architecture for mobile commerce which allows the use of mobile devices for electronic commerce. The architecture enables the development of applications to be executed on a mobile device, which lists selling products having their own textual descriptions and pictures. We discuss architectural modules and the implementation of an application for selling fast food called Mobile Menu. We begin with the main background concepts related to our proposed architecture.

A Solution to Improving the Performance of VVOIP Based on C-Native Android OS

2013 ◽  
Vol 380-384 ◽  
pp. 2067-2070 ◽  
Author(s):  
Hui Yang Wang ◽  
Xiang Dong You ◽  
Hao Pan
Keyword(s):  
Mobile Devices ◽  
Video Processing ◽  
Video Transmission ◽  
Video Codec ◽  
Processing Power ◽  
Android Os ◽  
Extended Application ◽  
Test Result ◽  
Better Than

VVOIP is an extended application from VOIP, and just because of the video function VVOIP is more complicated than VOIP, for video processing, video capturing, video codec and video transmission need more CPU processing power and net bandwidth. In this paper, a hardware codec solution is proposed to improve the performance of the VVOIP application based on Android OS. Video hardware codec can help decrease the load of mobile devices CPU, leaving users enjoying more applications at the same time. The hardware-codec VVOIPs performance of VGA-size is 15%-20% better than the unimproved one through the test result.

Sign in / Sign up

Export Citation Format

Share Document