scholarly journals A Study on Consumer Inertia towards E-Wallet usage at Patan City

Author(s):  
Patel Anand ◽  
Patel Anand ◽  
Pate Anand

Demonetization effect, Government promotion, Merchant acceptance, Effect of COVID-19, availability of internet and smart phones etc. are in favour of adoption of E-wallet in market as payment alternative but still Consumer inertia towards use of E-wallet prevails in India. In spite of many advantages to use E-wallet over traditional payment system, Consumers having hesitation due to concerned factors associated with it. Perceived Risk associated with E-wallet usages are safety, privacy, digital literacy, language, cost, fraud etc. makes impact on intention to use and consumer adoption behaviour. Research aims to examine the major factors concern for consumer’s inertia to use of E-wallet. It is an attempt to find out reasons of adoption and impact of demographic variable on concern factors with statistical analysis using SPSS.

2018 ◽  
Vol 20 (4) ◽  
pp. 323-336 ◽  
Author(s):  
Sumedha Chauhan ◽  
Parul Gupta ◽  
Mahadeo Jaiswal

Purpose This paper aims to explore the factors inhibiting the internet adoption among base of pyramid (BoP) and to develop further insights of such factors. Design/methodology/approach Researchers used a mixed-method study with QUAL/QUAN sequence in this research. Given the dearth of research on the internet usage by the BoP segment in India, the authors began with the exploratory qualitative study. Semi-structured interviews in local language were carried out with the people belonging to the BoP segment in India using common interview protocol. Face-to-face interviews were conducted for 20-30 min with ten people. Thematic analysis (Braun and Clarke, 2006) was conducted on the interview transcripts which lead to five themes. These themes were identified as the potential inhibitors to the internet adoption by the BoP segment in India. This step was further followed by a confirmatory quantitative study. Findings The results confirm that the factors such as lack of digital literacy, complexity and language barrier play a significant role in inhibiting the internet adoption by the BoP segment. However, there is no impact of perceived risk and cost on the internet adoption. The significant relationship between lack of digital literacy and intention to use implies that if the BoP segment is capable to locate, evaluate and use digital information, it is more likely to use the internet. Similarly, the relationship between complexity and the intention to use suggests that if the BoP segment finds it easy to use and understand the internet, it is more likely to use it. Practical implications This research has the implications for government departments and policymakers that are responsible for promoting use of the internet. Therefore, such departments and policymakers are advised to channelize their effort on resting the digital literacy, especially in terms of internet adoption. Findings of this study show that digital literacy, complexity and language barriers are major inhabitants in the internet adoption. Directed and focused government policies and initiatives such as subsidized seminars and training programmes specially designed for the BoP segment can help in increasing internet adoption. Social implications The adoption and use of the internet services by BoP have major implications for digital equality. Therefore, it would be important to explore the factors inhibiting the internet adoption among BoP. Originality/value This paper not only explores the factors inhibiting internet adoption among BoP in developing countries such as India but also provides deeper insights to these factors by collecting first-hand information from target segment. The finding of this research provides meaningful inputs to policymakers and also to industry to remove digital divide in the target population. This is how this research adds value to the existing knowledge available in this domain and it also provides agenda for future research.


2013 ◽  
Vol 12 (2) ◽  
pp. 243-256 ◽  
Author(s):  
Yoon Jeong Jeong ◽  
Il Young Choi ◽  
Jun Yong Xiang ◽  
Hyun Sil Moon ◽  
Jae Kyeong Kim

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Junko Okumura

Abstract Background Although the scale of the coronavirus disease (COVID-19) pandemic was relatively small in Japan compared with the rest of the world, the polarisation of areas into high- and low-COVID-19-incidence areas was observed among the 47 prefectures. The aims of this study were not only identifying the factors associated with the polarised COVID-19 pandemic in Japan but also discussing effective preventive measures. Methods This was an ecological study using online survey data which was cross-sectionally conducted by the author. A total of 6000 respondents who resided in 10 low- and 10 high-COVID-19 incidence prefectures, with a wide gap in terms of COVID-19 incidence, in Japan were recruited. Data on COVID-19 cases and geodemographic information were obtained from official government sites. Statistical analyses were conducted to compare variables between the two areas and age groups. Results This study revealed that that age influenced people’s behaviours and perceptions, except one behaviour of ‘wearing facemasks’. The major factors significantly associated with the cumulative number of COVID-19 cases per 100,000 people were ‘commuting by private automobile’ (adjusted odds ratio [AOR], 0.444; 95% confidence interval [CI], 0.394–0.501), ‘commuting by public transportation’ (AOR, 6.813; 95% CI, 5.567–8.336), ‘washing hands’ (AOR, 1.233; 95% CI, 1.005–1.511), ‘opening windows regularly’ (AOR, 1.248; 95% CI, 1.104–1.412), ‘avoiding crowded places (AOR, 0.757; 95% CI, 0.641–0.893), ‘non-scheduled visits to drinking places’ (AOR, 1.212; 95% CI, 1.054–1.392) and ‘perceived risk of contracting COVID-19’ (AOR, 1.380; 95% CI, 1.180–1.612). These factors were strongly associated with age groups. Conclusions Effective preventive measures for COVID-19 transmission can be developed by understanding the characteristics of populated areas, such as public transportation infrastructure and younger people’s movements and behaviours in relation to the population age structure to contain the current epidemic and protect the most vulnerable elderly people.


2021 ◽  
Vol 11 (5) ◽  
pp. 2365
Author(s):  
Sorinel Căpușneanu ◽  
Dorel Mateș ◽  
Mirela Cătălina Tűrkeș ◽  
Cristian-Marian Barbu ◽  
Adela-Ioana Staraș ◽  
...  

The digital transformation has produced changes in all existing areas of activity worldwide. There are many factors that can influence the intention to use Industry 4.0 processes and solutions and change the behavior of organizations and their business models. The aim of this study is to validate the econometric model on assessing the significant impact of distinct factors on the intention to use Industry 4.0 processes and solutions, the benefits of digital transformation perceived by organizational management and the differences between distinct groups analyzed. The research method used within the quantitative study was the sample survey, using the online questionnaire as a data collection tool. Three hundred forty-seven valid questionnaires were collected and the response rate of the respondents was 64.25%. A new structural model was generated based on the elements of the Unified Theory of Acceptance and Use of Technology (UTAUT). The results of the study indicated that Perceived competitiveness and Perceived risk have a significant impact on Intention to Use Industry 4.0 processes while Perceived vertical networking solutions and Perceived integrated engineering solutions have a significant influence on the Intention to Use Industry 4.0 solutions. In conclusion, there is a positive and significant association between Intention to Use Industry 4.0 solutions and Benefits of Digital Transformation.


Author(s):  
Shahrokh Nikou ◽  
Milla Aavakare

AbstractDigital technologies fundamentally transform teaching and learning in higher education environments, with the pace of technological change exacerbating the challenge. Due to the current pandemic situation, higher education environments are all now forced to move away from traditional teaching and learning structures that are simply no longer adaptable to the challenges of rapidly changing educational environments. This research develops a conceptual model and employs Structural Equation Modelling (SEM) using Partial least Squares (PLS) to examine the impact of information and digital literacy on 249 Finnish university staff and students’ intention to use digital technologies. The findings show the complex interrelationship between literacy skills and digital technologies among university staff and students. The results illustrate that information literacy has a direct and significant impact on intention to use; while, unlike our expectation, digital literacy does not have a direct impact on the intention to use. However, its effect is mediated through performance expectancy and effort expectancy. The authors suggest that to understand the changes that are taking place in higher education environment, more attention needs to be paid to redefining policies and strategies in order to enhance individuals’ willingness to use digital technologies within higher education environments.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Anwar S. Alhazmi ◽  
Dania E. Al Agili ◽  
Mohammed S. Aldossary ◽  
Shaker M. Hakami ◽  
Bashaer Y. Almalki ◽  
...  

Abstract Background In spite of the fact that fashion braces (FBs) have been in the spotlight in recent years among both orthodontists and the general public in several countries, there is still limited evidence regarding FBs. The aim was to identify health-related behaviors in using FBs by considering the Health Belief Model (HBM). Methods A cross-sectional study with a random sampling technique was conducted in Jazan, Saudi Arabia. The data was obtained from different middle and high schools students, and first-year students at Jazan University. The questionnaire collected data on demographic characteristics and 27 items to examine the constructs of the HBM. Chi Square test was carried out to establish the factors associated with using, the intention to use, and previous knowledge on the use of fashion braces. Logistic regression analysis was utilized to determine the factors associated with the use of fashion braces. Results 406 study participants completed the questionnaire with a response rate of 88.3%. Majority of respondents were males (52.2%) and > 19 years old (44.3%). Only 9.9% students had used the FBs. However, 25.7% of students had the intention to use them. The perceived susceptibility, perceived benefits and cues to action constructs scores were fair with the mean values of 15.38 (SD = 9.4), 28.17 (SD = 10.8) and 6.65 (SD = 2.50), respectively. However, the perceived barrier score was high with the mean values of 22.14 (SD = 7.50), and lower score of self-efficacy with mean of 8.73 (SD = 3.30). Gender, age, monthly income (family), and education level were significantly (p < 0.05) associated with the use of fashion braces among the study’s participants. Based on the results of logistic regression analysis family income, perceived susceptibility, and risk severity constructs predict the use of fashion braces in the study's sample. Conclusions The current study suggests that the family income, perceived susceptibility, and risk severity of students significantly influence the use of fashion braces. Hence, it is recommended that researchers should investigate effective educational strategies and programs for improving young people’s knowledge about fashion braces and focus more on low family income students so that their using of fashion brace will be decreased.


Author(s):  
Qingwen Deng ◽  
Zhichao Zeng ◽  
Yuhang Zheng ◽  
Junhong Lu ◽  
Wenbin Liu

Abstract Background With inappropriate use of antimicrobials becoming a great public health concern globally, the issue of applying clinical practice guidelines (CPGs) to regulate the rational use of antimicrobials has attracted increasing attention. Taking tertiary general hospitals in China for example, this study aimed to identify factors to investigate the comprehensive influencing mechanism for physicians’ intention to use CPGs on antimicrobials. Methods Based on the integration of Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM), and Technology-Organization-Environment framework (TOE), a questionnaire survey was conducted covering potential determinants of affecting physicians’ intentions to use CPGs on antimicrobials at the individual level (attitude, subjective norms and perceived risk), technical level (relative advantage and ease of use), and organizational level (top management support and organizational implementation). Data were collected from 644 physicians in tertiary general hospitals in eastern, central and western China, which were obtained by multi-stage random sampling. The structural equation modeling (SEM) was used to link three-level factors with physicians’ behavioral intentions. Results The majority of the participants (94.57%) showed a positive tendency toward intention to use CPGs on antimicrobials. The reliability and validity analysis showed the questionnaire developed from the theoretical model was acceptable. SEM results revealed physicians’ intentions to use CPGs on antimicrobials was associated with attitude (β = 0.166, p < 0.05), subjective norms (β = 0.244, p < 0.05), perceived risk (β = − 0.113, p < 0.05), relative advantage (β = 0.307, p < 0.01), top management support (β = 0.200, p < 0.05) and organizational implementation (β = 0.176, p < 0.05). Besides, subjective norms, perceived risk, relative advantage, ease of use, and top management support showed their mediating effects from large to small on the intentions, which were 0.215, 0.140, 0.103, 0.088, − 0.020, respectively. Conclusions This study revealed the significance of multifaceted factors to enhance the intention to use CPGs on antimicrobials. These findings will not only contribute to the development of targeted intervention strategies on promoting the use of CPGs on antimicrobials, but also provide insights for future studies about physicians’ adoption behaviors on certain health services or products.


2011 ◽  
Vol 46 (6) ◽  
pp. 648-654 ◽  
Author(s):  
Ramiro Fouz ◽  
Fernando Gandoy ◽  
María Luisa Sanjuán ◽  
Eduardo Yus ◽  
Francisco Javier Diéguez

The objective of this work was to identify factors associated with the 56-day non-return rate (56-NRR) in dairy herds in the Galician region, Spain, and to estimate it for individual Holstein bulls. The experiment was carried out in herds originated from North-West Spain, from September 2008 to August 2009. Data of the 76,440 first inseminations performed during this period were gathered. Candidate factors were tested for their association with the 56-NRR by using a logistic model (binomial). Afterwards, 37 sires with a minimum of 150 first performed inseminations were individually evaluated. Logistic models were also estimated for each bull, and predicted individual 56-NRR rate values were calculated as a solution for the model parameters. Logistic regression found four major factors associated with 56-NRR in lactating cows: age at insemination, days from calving to insemination, milk production level at the time of insemination, and herd size. First-service conception rate, when a particular sire was used, was higher for heifers (0.71) than for lactating cows (0.52). Non-return rates were highly variable among bulls. Asignificant part of the herd-level variation of 56-NRR of Holstein cattle seems attributable to the service sire. High correlation level between observed and predicted 56-NRR was found.


2015 ◽  
Vol 48 (4) ◽  
pp. 539-556 ◽  
Author(s):  
Dipak Suryawanshi ◽  
Varun Sharma ◽  
Niranjan Saggurti ◽  
Shalini Bharat

SummaryFemale sex workers (FSWs) are vulnerable to HIV infection. Their socioeconomic and behavioural vulnerabilities are crucial push factors for movement for sex work. This paper assesses the factors associated with the likelihood of movement of sex workers from their current place of work. Data were derived from a cross-sectional survey conducted among 5498 mobile FSWs in 22 districts of high in-migration across four states in southern India. A multinomial logit model was constructed to predict the likelihood of FSWs moving from their current place of work. Ten per cent of the sampled mobile FSWs were planning to move from their current place of sex work. Educational attainment, marital status, income at current place of work, debt, sexual coercion, experience of violence and having tested for HIV and collected the results were found to be significant predictors of the likelihood of movement from the current place of work. Consistent condom use with different clients was significantly low among those planning to move. Likewise, the likelihood of movement was significantly higher among those who had any STI symptom in the last six months and those who had a high self-perceived risk of HIV. The findings highlight the need to address factors associated with movement among mobile FSWs as part of HIV prevention and access to care interventions.


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