scholarly journals Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps

2021 ◽  
Vol 12 (4) ◽  
pp. 1033-1062
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Luminița Ionescu ◽  
Mădălina Cocoșatu
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Value Added ◽  
Mobile Commerce ◽  
Mobile App ◽  
Shopping Behavior ◽  
Data Repository ◽  
Consumer Adoption ◽  
Technological Adoption ◽  
Mobile Shopping

Research background: With growing evidence of consumer adoption of mobile shopping apps, there is a pivotal need for comprehending Internet-enabled consumer devices in mobile shopping behavior. Mobile shopping platform features and user technological readiness configure consumers? expectations and demands as regards mobile retailing adoption, leading to acceptance of mobile shopping apps and payment services. Purpose of the article: In this research, prior findings have been cumulated indicating that mobile social apps extend throughout consumer attitudes and behaviors by the widespread adoption of smartphones. We contribute to the literature by showing that cutting-edge technological developments associated with customer behavior in relation to mobile commerce apps have resulted in the rise of data-driven systems. Consumer behavioral intention and adoption intention in relation to mobile shopping apps/websites are developed on perceived risk and trust consequences. Methods: Throughout February and March 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms comprising ?mobile shopping app?, ?mobile commerce platform?, ?mobile payment service?, ?Internet-enabled consumer device?, ?consumer technological adoption?, and ?mobile shopping behavior?. As research published between 2018 and 2021 was analyzed, only 330 sources met the suitability criteria. By removing questionable or indeterminate findings (insubstantial/inconsequent data), results unconfirmed by replication, too imprecise content, or having quite similar titles, 66, chiefly empirical, sources were selected. A systematic review of recently published literature was carried out on technological adoption of mobile commerce apps by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The Systematic Review Data Repository was used, a software program for the gathering, handling, and analysis of data for the systematic review. The quality of the academic articles was determined by harnessing the Mixed Method Appraisal Tool. Findings & value added: The consumer purchase decision?making process in mobile app-based marketing involves consumer engagement and willingness to adopt mobile commerce apps. Further advancements should clarify how technological-based consumer adoption of mobile shopping throughout social commerce can improve the payment for products and services.

scholarly journals The Adoption of Mobile Payment Technologies, Social Interactive Consumer-Oriented Applications, and Online Purchasers’ Decision-Making Process

2021 ◽  
Vol 92 ◽  
pp. 05015
Author(s):  
George Lăzăroiu ◽  
Gheorghe H Popescu ◽  
Bogdan Alexandru
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Value Added ◽  
Mobile App ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Decision Making Process ◽  
Mobile Shopping ◽  
Other Information ◽  
Access To Data

Research background: This paper analyzes the outcomes of an exploratory review of the current research on the relationship between the global adoption of mobile payment technologies, social interactive consumer-oriented applications, and online purchasers’ decision-making process. Purpose of the article: The data used for this study was obtained and replicated from previous research conducted by Econsultancy and Statista. We performed analyses and made estimates regarding mobile e-commerce sales worldwide, frequency of mobile retail app usage according to U.S. smartphone shoppers, how well organizations understand the customer journey for certain audiences, share of Internet users who are likely to use mobile payments on their smartphone in the next year (by country), and time spent per mobile app category. Methods: Data collected from 6,200 respondents are tested against the research model by using structural equation modeling. Findings & Value added: The advent of smartphones redesigns the routine of shopping, thus altering the agency of users. Retailers have instant access to data on the geographical position of users that can be employed in addition to other information to regulate the decision-making process. Perceived effortlessness in utilization of the smartphone is somewhat similar for various mobile shopping application settings. The degree to which mobile purchasing applications are time critical and location sensitive may differ substantially. Mobile retailers can make public the personal, collaborative, and instantaneous buying experience that mobile shopping can offer to customers.

scholarly journals Research Trends in Mobile Shopping Behavior: A Bibliometric Analysis

2021 ◽  
Author(s):  
S. Saibaba
Keyword(s):  
Systematic Review ◽  
Bibliometric Analysis ◽  
Academic Research ◽  
Knowledge Structure ◽  
Research Trends ◽  
Shopping Behavior ◽  
Reference Analysis ◽  
Word Cloud ◽  
Mobile Shopping ◽  
Visualization Techniques

Abstract The mobile phone, with revolutionary smart capabilities, provided its users enormous benefits, especially the convenience of shopping through websites and applications from anywhere and anytime. There are several academic studies conducted to measure the adoption and usage behavior of consumers towards mobile shopping platforms, for more than a decade. However, the research on mobile shopping behavior had gained more attention only in the last few years. The purpose of this study is to conduct a detailed and systematic review of mobile shopping literature (from the consumer behavior perspective) and perform quantitative analysis, with the help of bibliometric analysis. The study examined 158 academic articles that was obtained from Scopus, to perform bibliometric analysis, and the analysis revealed that the research on mobile shopping behavior had gained more attention between 2012 and 2018. The paper identifies the key contributions in terms of the most productive journals, countries, institutions, papers, and authors in research on consumers’ mobile shopping behavior. The co-citation reference analysis, keyword co-occurence analysis and word cloud technique had been used, to identify the evolution of various themes focused in this area. This study’s results will make researchers and scholars to have better understanding about the knowledge structure of academic research on mobile shopping through bibliometrics and visualization techniques.

Influence of consumer decision-making styles on use of mobile shopping applications

2019 ◽  
Vol 27 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Subhro Sarkar ◽  
Arpita Khare ◽  
Amrut Sadachar
Keyword(s):  
Decision Making ◽  
Risk Perceptions ◽  
Mobile Apps ◽  
Empirical Support ◽  
Mobile App ◽  
Content Type ◽  
Factors Affecting ◽  
Mobile Shopping ◽  
Decision Making Styles ◽  
The Relationship

Purpose The purpose of this paper is to validate the consumer styles inventory (CSI) scale for understanding the decision-making styles of shopping app users. The validated scales are used to examine the relationship between consumers’ decision-making styles and factors affecting the use of mobile shopping apps. Design/methodology/approach A total of 428 valid responses are collected from the users of the five most popular shopping apps. The mobile shopping apps are selected based on a popularity study. Data are collected from mobile app shoppers through an online survey. Findings Findings reveal a new set of factors that can be used for understanding use of mobile shopping apps. Decision-making styles influence the adoption of mobile apps for shopping. Factors responsible for the adoption of mobile shopping apps such as usefulness and risk perceptions differ across consumers with different decision-making styles. Practical implications The findings would facilitate online retailers in building focused marketing strategies for segmenting and targeting the consumers having different decision-making styles. Originality/value The current research is the first of its kind to examine the applicability of the CSI scale in the context of mobile app shoppers in an emerging economy. The findings enrich the existing literature by providing empirical support to the relationship between decision-making styles and factors affecting adoption of shopping using mobile apps.

scholarly journals Perceptions and behavior-related intentions of consumers in smartphone-based mobile commerce

2021 ◽  
Vol 92 ◽  
pp. 06011
Author(s):  
Maria Gabriela Horga ◽  
Elvira Nica ◽  
Dumitru Nancu
Keyword(s):  
Structural Equation ◽  
Value Added ◽  
Mobile Commerce ◽  
Customer Relationships ◽  
Equation Modeling ◽  
Product Reviews ◽  
Mobile Shopping ◽  
Internet Users ◽  
And Behavior ◽  
Application Developers

Research background: This article presents an empirical study carried out to evaluate and analyze perceptions and behavior-related intentions of consumers in smartphone-based mobile commerce globally. Purpose of the article: Building our argument by drawing on data collected from Nielsen and Statista, we performed analyses and made estimates regarding positive and negative aspects of smartphone shopping according to EU mobile shoppers, mobile shopping activities among smartphone and tablet owners, mobile visits to leading retail websites in the U.S., and most popular payment methods for everyday transactions according to Internet users worldwide. Methods: Data collected from 4,400 respondents are tested against the research model by using structural equation modeling. Findings & Value added: The sudden advancement of mobile technology has driven numerous retailers to strive and capitalize on smartphones as a supplementary tool in the operation of sales. Smartphone applications as an innovative channel can be carried out in retail marketing mix for the purpose of constituting constructive customer relationships. Consumer use of mobile shopping applications constitutes a thought-provoking difficult task for retailers and application developers. Habit and omnipresence unswervingly shape customers’ purposes and concrete mobile shopping usage behaviors. The browsing extent and rate of recurrence of non-shopping applications clarifies the quantity of shopping software mobile users hold on their smartphones. Product reviews are paramount to users and a manner of gaining information unspecified by the retailer.

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

Relative Efficiency of Decision Making Units Producing Both Desirable and Undesirable Outputs: A Case of Textile Processing Units in Pakistan.

2011 ◽  
Vol 50 (4II) ◽  
pp. 685-698
Author(s):  
Samina Khalil
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Value Added ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Textile Processing ◽  
Decision Making Unit ◽  
Desirable And Undesirable Outputs ◽  
Decision Making Units

This paper aims at measuring the relative efficiency of the most polluting industry in terms of water pollution in Pakistan. The textile processing is country‘s leading sub sector in textile manufacturing with regard to value added production, export, employment, and foreign exchange earnings. The data envelopment analysis technique is employed to estimate the relative efficiency of decision making units that uses several inputs to produce desirable and undesirable outputs. The efficiency scores of all manufacturing units exhibit the environmental consciousness of few producers is which may be due to state regulations to control pollution but overall the situation is far from satisfactory. Effective measures and instruments are still needed to check the rising pollution levels in water resources discharged by textile processing industry of the country. JEL classification: L67, Q53 Keywords: Data Envelopment Analysis (DEA), Decision Making Unit (DMU), Relative Efficiency, Undesirable Output

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