Risk factors of consumer switching behaviour for cross-border e-commerce mobile platform

2020 ◽  
Vol 18 (6) ◽  
pp. 641
Author(s):  
Yunpeng Yang ◽  
Lifan Yang ◽  
Hongmin Chen ◽  
Jianzheng Yang ◽  
Chongjun Fan
Keyword(s):  
Risk Factors ◽  
Mobile Platform ◽  
Cross Border ◽  
Switching Behaviour ◽  
Consumer Switching

Risk factors of consumer switching behavior for cross-border e-commerce mobile platform

2020 ◽  
Vol 18 (1) ◽  
pp. 1
Author(s):  
Yunpeng Yang ◽  
Lifan Yang ◽  
Jianzheng Yang ◽  
Chongjun Fan ◽  
Hongmin Chen
Keyword(s):  
Risk Factors ◽  
Mobile Platform ◽  
Switching Behavior ◽  
Cross Border ◽  
Consumer Switching

scholarly journals Influence of Negative eWOM on Switching Intention

2018 ◽  
Vol 9 (2) ◽  
pp. 67
Author(s):  
Jamil Bojei ◽  
Haliyana Khalid ◽  
Geetha Nadarajan
Keyword(s):  
Word Of Mouth ◽  
Survey Response ◽  
Electronic Word Of Mouth ◽  
Consumer Decisions ◽  
Switching Behaviour ◽  
Switching Phenomenon ◽  
Mobile Consumer ◽  
Consumer Switching ◽  
High Degree

Despite discussions on strong and growing influence of electronic word-of-mouth (eWOM) on consumer decisions, there is insufficient effort to validate negative eWOM as a key source of causal data towards mobile consumer switching behaviour. Studies have indicated strong negative eWOM leads to high degree of influence on switching behaviour (Zhang et al., 2015). However, these studies are based on consumers’ survey response on how the negative eWOM impacts their decisions with emphasis on the strength and valence of the negative eWOM. Limited studies explore the contents of negative eWOM itself and how the choice of words is reflective of consumer elements or contexts which are meaningful towards understanding the causality between negative eWOM and switching behaviour (Martins et al., 2013; Qahri et al., 2015). The content of the negative eWOM sheds light on consumer elements related to mobile consumer switching behaviour, described as issues and situations. This study identifies and validates the causality of key consumer elements highlighted in the negative eWOM in association with mobile consumer switching phenomenon.

scholarly journals Cross-Border Malaria Drivers and Risk Factors on the Brazil-Venezuela Border Between 2016 and 2018

2021 ◽  
Author(s):  
Kinley Wangdi ◽  
Erica Wetzler ◽  
Paola Marchesini ◽  
Leopoldo Villegas ◽  
Sara Canavati
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Malaria Elimination ◽  
Malaria Incidence ◽  
Imported Malaria ◽  
Surveillance Systems ◽  
Cross Border ◽  
Imported Case ◽  
Multivariable Logistic Regression ◽  
Imported Cases

Abstract Background Globally, cross-border importation of malaria has become a challenge to malaria elimination. The border areas between Brazil and Venezuela have experienced high numbers of imported cases due to increased population movement and migration out of Venezuela. This study aimed to identify risk factors for imported malaria and delineate imported malaria hotspots in Roraima, Brazil and Bolivar, Venezuela between 2016 and 2018.MethodsData on malaria surveillance cases from Roraima, Brazil and Bolivar, Venezuela from 2016 to 2018 were obtained from national surveillance systems: the Brazilian Malaria Epidemiology Surveillance Information System (SIVEP-Malaria), the Venezuelan Ministry of Health and other non-government organizations. A multivariable logistic regression model was used to identify the risk factors for imported malaria. Spatial autocorrelation in malaria incidence was explored using Getis-Ord (Gi*) statistics.ResultsDuring the study period, there were 11,270 (24.3%) and 4,072 (0.7%) imported malaria cases in Roraima, Brazil and Bolivar, Venezuela, respectively. In the multivariable logistic regression for Roraima, men were 28% less likely to be an imported case compared to women (Adjusted Odds Ratio [AOR]= 0.72; 95% confidence interval [CI] 0.665, 0.781). Ages 20-29 and 30-39 were 90% (AOR=1.90; 95% CI 1.649, 2.181) and 54% (AOR=1.54; 95% CI 1.331, 1.782) more likely to be an imported case compared to the 0-9 year age group, respectively. Imported cases were 197 times (AOR=197.03; 95% CI 175.094, 221.712) more likely to occur in miners than those working in agriculture and domestic work. In Bolivar, cases aged 10-19 (AOR=1.75; 95% CI 1.389, 2.192), 20-29 (AOR=2.48; 95% CI 1.957, 3.144), and 30-39 (AOR=2.29; 95% CI 1.803, 2.913) were at higher risk of being an imported case than those in the 0-9 year old group, with older age groups having a slightly higher risk compared to Roraima. Compared to agriculture and domestic workers, tourism, timber and fishing workers (AOR=6.38; 95% CI 4.393, 9.254) and miners (AOR=7.03; 95% CI 4.903, 10.092) were between six and seven times more likely to be an imported case. Spatial analysis showed the risk was higher along the international border in the municipalities of Roraima, Brazil.ConclusionTo achieve malaria elimination, cross-border populations in the hotspot municipalities will need targeted intervention strategies tailored to occupation, age and mobility status. Furthermore, all stakeholders, including implementers, policymakers, and donors, should support and explore the introduction of novel approaches to address these hard-to-reach populations with the most cost-effective interventions.

scholarly journals Factors Influencing Brand Switching Behaviour of Mobile Phone Users and the Mediating Effect of Customer Satisfaction: A Literature Review

2019 ◽  
pp. 1-11 ◽  
Author(s):  
Esther Garga ◽  
Ahmad Audu Maiyaki ◽  
Murtala Sabo Sagagi
Keyword(s):  
Customer Satisfaction ◽  
Literature Review ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Corporate Image ◽  
Mediating Effect ◽  
Positive Effects ◽  
Brand Switching ◽  
Switching Behaviour ◽  
Consumer Switching

Mobile phone market is one of the most turbulent market environments today due to increased competition and change. Thus, it is of growing concern to look at consumer brand switching behaviour and shade light on the factors that influence the consumer switching between different brands of mobile phones. On this basis, this paper deals with consumers' brand switching behaviour of mobile phone by studying factors that influence consumers to change their mobile phones brand and the mediating effects of customer satisfaction. Using literature review, it was found that although the purchase of a mobile phone is subjective, there are some general factors that seem to influence the switching behaviour of consumers among brands. The studies further show that among other things that influence consumer switching behaviour in the purchase of mobile phones includes reference group and product quality. The study further reveals that customer satisfaction has positive effects on customer switching. Thus, customer satisfaction is considered a positive determinant of how strong is the relationship between the customer and the product provider. The study therefore, recommends that mobile phone marketers should shift focus on building corporate image and analyze more carefully the reason for customers to switch brands in their industries in order to increase loyalty among these customers.

scholarly journals FAKTOR YANG MEMPENGARUHI PERILAKU BERALIH KONSUMEN DALAM MENGGUNAKAN KARTU SELULER

2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Moh. Joko Santoso
Keyword(s):  
Customer Service ◽  
Value Added ◽  
Switching Behavior ◽  
Short Message ◽  
Network Coverage ◽  
Factors Affecting ◽  
Switching Behaviour ◽  
Message Service ◽  
Consumer Switching ◽  
Service Call

Moh. Joko SantosoPT. Astra Agro Lestari, TbkE-mail: [email protected] research aims to determine the factors affecting consumer switching behaviour on cellular card inMalang City. Consumer switching behaviour factors included customer service, knowledgeable employees,waiting time to get the customer service, error billing, network coverage, frequent network problem, newscheme, plan for different age,value added service, call rates, hidden charges, short message service charges,internet charges, recharge facilities, offered by competitor family and friend, fancy number, and rechargecost. Consumer switching behaviour in cellular card seen during the last six months. Respondents were cardusers who have used cellular card at least 6 months. The sum of respondent are 100 users who are selectedby purposive sampling. Data were collected by using questionnaires. The data analysed by using logisticregression enter method and backward stepwise. Based on the results of logistic regression analysis exemplifiedthat the constant significance value was less than 0.05. This meant that the factors of consumerswitching behaviour had a significant effect in cellular card. The factors affect consumer switching behaviourhad influenced at 37.6%, and 62.4% influenced by other factors outside this study. Finnaly, the fancy numberwas the most dominant factors which could influence consumer switching behaviour.Keywords: cellular card user, consumer behavior, switching behavior

Consumer switching in European retail markets

2019 ◽  
Author(s):  
Jason Harold ◽  
John Cullinan ◽  
Seán Lyons
Keyword(s):  
Positive Association ◽  
Consumer Market ◽  
Retail Markets ◽  
Market Effects ◽  
Switching Behaviour ◽  
Monitoring Survey ◽  
Strong Positive Association ◽  
Consumer Switching ◽  
Behaviour Data ◽  
Significant Factors

Abstract Consumer switching can play a significant role in enabling competitive retail markets. This paper examines the factors influencing consumer switching across 14 different retail markets in 27 European countries (EU27) using a micro-econometric analysis of consumer switching behaviour data from the European Commission’s Consumer Market Monitoring Survey. The results provide evidence that consumer attitudes to various market components are highly significant factors in explaining consumer switching behaviour in the EU27. In addition, this paper also examines cross-market effects on consumer switching behaviour. Focusing on the case of energy retail markets, the odds of switching in these markets are found to be considerably greater for a consumer who has switched in at least one other retail market. Finally, consumers’ accessibility to the internet is also shown to have a strong positive association with switching.

15 Dispute Resolution in Project Finance Transactions

2015 ◽  
Author(s):  
Nolan Michael ◽  
Canning Tom ◽  
Culbertson Erin ◽  
Hogwood Emma ◽  
Kinninmont Paul
Keyword(s):  
Risk Factors ◽  
Dispute Resolution ◽  
Political Risk ◽  
Project Finance ◽  
International Arbitration ◽  
Advantages And Disadvantages ◽  
Cross Border ◽  
Additional Protection ◽  
Project Participants ◽  
Investment Treaties

Dispute resolution mechanisms in the project finance context are a means of enforcing the allocation of risksamong a project’s many participants. Swift, flexible, final, and enforceabledispute resolution mechanisms allow a project’s intended risk allocations to be maintained. This chapter identifies various dispute resolution mechanisms available to project participants. Much of the chapter is devoted to exploring the advantages and disadvantages of two dispute resolution regimes—litigation and international arbitration—including looking at enforcement. It considers how investment treaties provide additional protection against political risk factors faced by cross-border projects and describes typical dispute resolution fora(such as ICSID)for investor–state disputes. The chapter also provides a ‘toolkit’ for drafting dispute resolution provisions designed to achieve participants’ goals.

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