scholarly journals The Impact of Mobile TradeManager on Fashion Product Sales: From Usability Perspective

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Zilong Liu ◽  
Zhenhua Liu ◽  
Qingfei Min
Keyword(s):  
Communication Networks ◽  
Behavioral Model ◽  
Shopping Behavior ◽  
Wireless Communication Networks ◽  
Subjective Beliefs ◽  
System Usability ◽  
Online Shopping Behavior ◽  
Product Sales ◽  
It Artifact ◽  
The Impact

The competition in fashion and textiles (FTs) industry is strong. Enterprises have to compete at all levels and need to adapt to the mobile commerce (MC) context. Mobile TradeManager (MTM) is a typical MC application and good use of it will facilitate the sales of FTs products. Plenty of prior studies on MC were developed to discuss the subjective beliefs. Motivated by the research that appeals for more attention to IT artifact itself, this paper integrates the system usability of MC into the behavioral model. To this end, the purpose of this study is twofold: (a) to identify the impact of MTM usability on consumers’ online shopping behavior of FTs production, and (b) to explore and understand how usability of MTM could be improved. Data analysis, based on a survey of 837 MTM users, reveals that perceived entertainment, MTM system usability, subjective norm, and consumer’s self-efficacy significantly affect individual’s intention to use MTM. Meanwhile, it is revealed that MTM usability is a joint function of mobile device’s system performance, WAP website’s design, and the characteristics of wireless communication networks.

scholarly journals The Importance of Online Shopping Behavior in the Strategic Management of E-Commerce Competitiveness

2020 ◽  
Vol 12 (4) ◽  
pp. 143-160
Author(s):  
Veronika Svatosova
Keyword(s):  
Strategic Management ◽  
Online Shopping ◽  
Secondary Data ◽  
Shopping Behavior ◽  
Management Process ◽  
Main Research ◽  
Online Shopping Behavior ◽  
The Impact ◽  
Strategic Management Process

In this article a total of fifteen determinants of online shopping behavior have been identified that could have an impact on the strategic management process in e-commerce competitiveness. The main objective of the paper is to evaluate the impact of determinants of online shopping behavior on the strategic management process in e-commerce. The main research methods used in the research are as follows: analysis of secondary data, a questionnaire survey among a selected group of e-commerce companies, a critical analysis and a quality comparison of the actually applied determinants of online shopping behavior. The verification of hypotheses is realized using selected methods of statistical induction and descriptive statistics. In summary, the research has shown there is no relationship between evaluating the quality of determinants companies in e-commerce and evaluating the importance of determinants of online shopping behavior. Determinants have an important impact in the process of creating and realizing an e-commerce strategy, with all e-commerce companies regardless of their size being aware of their practical impact and importance. It can be concluded the importance and quality of determinants of online shopping behavior correspond to the type of strategy and strategic management process in terms of e-commerce competitiveness.

Impact of COVID-19 on Food Consumption and Marketing

2022 ◽  
pp. 60-79
Author(s):  
Suja Ravindran Nair
Keyword(s):  
Food Consumption ◽  
Healthy Eating ◽  
Behavioral Model ◽  
Shopping Behavior ◽  
Review Of The Literature ◽  
Buying Behavior ◽  
Behavior Intentions ◽  
Food Patterns ◽  
Online Shopping Behavior ◽  
And Behavior

COVID-19 has greatly disrupted lives and affected buying behavior of individuals. Countries were forced to impose lockdowns, alongside the practices of wearing masks, social distancing and hygiene have become the ‘new normal'. This situation forced consumers to re-work shopping habits, modify food patterns, develop healthy eating and online shopping behavior. With multiple waves of COVID-19 engulfing countries, pandemic effects are here to stay, suggesting food marketers explore the continuity of healthy food consumption with futuristic behavioral intention. For this purpose, this study uses a behavioral model perspective built upon the theory of planned behavior. A general review of the literature on food choice behavior is used. The literature review shows an integrated framework indicating linkages between the antecedents, consumers' behaviors, and behavior intentions/consequences from a sustainable behavioral model perspective.

scholarly journals Impact of Social risk, Government and Psychological Factors with Moderator Cultural Factors on Online Shopping Behavior in Pakistan

2019 ◽  
Vol 7 (1) ◽  
pp. 31-44
Author(s):  
Anam Bhatti ◽  
Shafique Ur Rehman
Keyword(s):  
Psychological Factors ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Future Research ◽  
Social Risk ◽  
Government Role ◽  
Online Shopping Behavior ◽  
The Impact ◽  
Moderating Role

The objective of the current study is to examine the impact of social risk, government role, and psychological factors on online shopping behavior. In addition, the moderating role of culture between social risk and online shopping behavior. Simple random sampling technique was used to collect data from respondents by using a questionnaire approach. Confirmatory factor analyses, as well as structural equation modelling techniques, were used for analysis purpose. Findings revealed that social risk and psychological factors have a negative and significant impact on online shopping behavior. Government role and culture have a positive and significant impact on online shopping behavior. Moreover, culture positively moderates the relationship between social risk and online shopping behavior. Between social risk and online shopping behavior moderating role of culture have less attention in prior studies and this research fills that gap. Future research should be held in some other developing countries as well as in developed countries with financial risk, product risk, privacy risk, convenience risk, electronic word of mouth, brand association, advertising factors, perceived quality, and online shopping behavior.

The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment

2019 ◽  
Vol 56 (6) ◽  
pp. 944-959 ◽  
Author(s):  
Donald Ngwe ◽  
Kris Johnson Ferreira ◽  
Thales Teixeira
Keyword(s):  
Price Discrimination ◽  
Field Experiments ◽  
Search Costs ◽  
Shopping Behavior ◽  
Search Frictions ◽  
Transaction Data ◽  
Online Retailers ◽  
Online Stores ◽  
Online Shopping Behavior ◽  
The Impact

Many online stores are designed such that shoppers can easily access any available discounted products. The authors propose that deliberately increasing search frictions by placing obstacles to locating discounted items can improve online retailers’ margins and even increase conversion. The authors demonstrate this using a simple theoretical framework that suggests inducing consumers to inspect higher-priced items first may simultaneously increase the average price of items sold and the overall expected purchase probability by inducing consumers to search more products. The authors test and confirm these predictions in a series of field experiments conducted with a dominant online fashion and apparel retailer. Furthermore, using information in historical transaction data about each consumer, the authors demonstrate that price-sensitive shoppers are more likely to willingly incur search costs when locating discounted items. Our results show that increasing search frictions can be used as a self-selecting price discrimination tool to match high discounts with price-sensitive consumers and full-priced offerings with price-insensitive consumers.

scholarly journals Analysis of impact of machine-type-communication on human-type communication over wireless communication networks

2021 ◽  
Author(s):  
Parampreet Sidhu
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Blocking Probability ◽  
Wireless Communication Networks ◽  
Machine Type ◽  
Human Type ◽  
Machine Type Communication ◽  
The Impact ◽  
Source Management

With the advent of new wireless technologies, it is expected that the use of Machine-Type Communication (MTC) will significantly increase in next generation wireless networks. Wireless communication networks are considered to support MTC due to their availability and existing infrastructures. As these networks are designed and optimized in a way that they fit best for Human Type Communication (HTC), there is a need of an efficient radio re- source management (RRM) to accommodate MTC traffic without affecting the regular HTC traffic in the network. In this thesis, a continuous-time Markov chain (CTMC) model-based RRM scheme is proposed to analyze the impact of MTC traffic on HTC traffic in wireless communication networks, in terms of blocking probability and channel utilization. Numerical results are provided, demonstrating the effectiveness of the proposed RRM scheme in providing the quality of service (QoS) isolation between HTC and MTC traffic.

scholarly journals Data Downloading on the Sparse Coverage-Based Wireless Networks

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Helal Chowdhury ◽  
Janne Lehtomäki ◽  
Juha-Pekka Mäkelä ◽  
Sastri Kota
Keyword(s):  
Wireless Networks ◽  
Wireless Communication ◽  
Communication Networks ◽  
Signal To Noise Ratio ◽  
Low Cost ◽  
Access Point ◽  
Wireless Communication Networks ◽  
High Data ◽  
Distance Relationship ◽  
The Impact

Infostation, hotspot, and drive-thru internet are examples of sparse coverage-based wireless networks. These wireless communication networks provide low-cost, delay insensitive high data rate services intermittently with discontinuous coverage. Radio propagation parameters, velocity of the user, distance between the user, and access point are the key factors that affect the throughput and the amount of information downloaded from such sparse coverage-based wireless networks. To evaluate the performance of such wireless communication networks analytically the impact of above mentioned factors can be modeled with simplified relationship model such as received signal strength versus distance or signal to noise ratio versus throughput. In the paper, we exploit the relationship between throughput and distance and develop two throughput distance relationship models to evaluate the performance of multirate wireless networks. These two throughput distance relationship models are used in calculation of average throughput as well as downloaded file size. Numerical values are presented for the IEEE 802.11n standard. The numerical results verify that the new proposed technique can be used as an alternative to the simulations to evaluate the performance of sparse coverage-based wireless networks.

scholarly journals Impact of Client Applications on the Transmission of Mobile Traffic in Communication Networks

2021 ◽  
pp. 11-18
Author(s):  
Nadezhda Ermakova ◽  
◽  
Margarita Vodolazkina ◽  
Lyudmila Gomazkova ◽  
Alexey Pasyuk ◽  
...  
Keyword(s):  
Communication Networks ◽  
Mobile Terminal ◽  
Point Of View ◽  
Heterogeneous Traffic ◽  
Statistical Characteristics ◽  
Long Term Memory ◽  
Wireless Communication Networks ◽  
Internet Resources ◽  
The Impact

The efficiency of traffic transmission through wireless communication networks is currently of considerable interest from a research point of view. This is due to the rapid growth of Internet resources, the convergence of technologies for transmitting heterogeneous traffic, the increased mobility of subscribers of communication networks, as well as the growth in the number of different client applications using mobile data transmission. In this paper, we investigate the impact of the growth of client applications on the transmission of mobile traffic. The study shows that the mobile terminal traffic is stable. It is more variable than a random series, because it consists of frequent reversals, but does not have long-term memory, since the Hurst index ranges from 0.3 to 0.5. The distribution of intervals between the arrival of TCP packets is described by the exponent. The distribution of packet lengths for TCP traffic shows that the bulk of the traffic is carried in long packets (1300–2500 bytes). The immutability of the statistical characteristics of traffic when installing several client applications in comparison with the characteristics obtained in previous studies (with a small number of client applications) indicates the immutability of the quality of service. Therefore, the growth of client applications does not affect the transmission of mobile traffic.

scholarly journals Analysis of impact of machine-type-communication on human-type communication over wireless communication networks

2021 ◽  
Author(s):  
Parampreet Sidhu
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Blocking Probability ◽  
Wireless Communication Networks ◽  
Machine Type ◽  
Human Type ◽  
Machine Type Communication ◽  
The Impact ◽  
Source Management

With the advent of new wireless technologies, it is expected that the use of Machine-Type Communication (MTC) will significantly increase in next generation wireless networks. Wireless communication networks are considered to support MTC due to their availability and existing infrastructures. As these networks are designed and optimized in a way that they fit best for Human Type Communication (HTC), there is a need of an efficient radio re- source management (RRM) to accommodate MTC traffic without affecting the regular HTC traffic in the network. In this thesis, a continuous-time Markov chain (CTMC) model-based RRM scheme is proposed to analyze the impact of MTC traffic on HTC traffic in wireless communication networks, in terms of blocking probability and channel utilization. Numerical results are provided, demonstrating the effectiveness of the proposed RRM scheme in providing the quality of service (QoS) isolation between HTC and MTC traffic.

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