Impact of demonetization on diffusion of mobile payment service in India

2019 ◽  
Vol 16 (4) ◽  
pp. 472-497 ◽  
Author(s):  
Neharika Sobti
Keyword(s):  
Behavioral Intention ◽  
Perceived Risk ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Content Type ◽  
Utaut Model ◽  
Payment Services ◽  
Facilitating Conditions ◽  
The Impact

PurposeThe purpose of this paper is to explore the antecedents of the behavioral intention and adoption of mobile payment services like m-wallets and m-banking by users in India. This is done by examining the diffusion of mobile payment technology within an extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study attempts to extend the UTAUT model further by introducing three more constructs, namely- perceived cost, perceived risk and demonetization effect and analyzes the impact of demonetization that happened in India from November 8, 2016 to December 30, 2016 on the mobile payment service adoption process. Demonetization event is a case in point to assess whether forced adoption breaks the normal diffusion process or lends support to the same in the long term.Design/methodology/approachA survey was conducted in order to gauge the intention behind the adoption of mobile payment modes by users in India. The questionnaire was administered online solely and 880 responses were received within a period of 20 days from February 3, 2017, to February 23, 2017, using Google Forms as a medium. Usable responses were 640. The study adopted partial least square based structural equation modeling (PLS-SEM) technique to analyze the relation between latent variables: performance expectation, effort expectation, social influence, facilitating conditions, perceived cost, perceived risk, demonetization effect, behavioral intention and usage. For this purpose, SmartPLS3.0 software was used to create path diagrams and calculate estimate the significance of factor loadings using the bootstrap technique.FindingsThe key results indicates that behavioral intention, demonetization and facilitating conditions have a positive and significant impact on the adoption of mobile payment services in India. Overall, Model 3, which was extended UTAUT model, was observed to be a better model in explaining the antecedents of behavioral intention and usage. In addition to UTAUT antecedents, perceived cost and perceived risk proved to have additional explanatory power as antecedents of behavioral intention. Age acts as a moderating variable consistently across three models, implying that younger users give more importance to effortless interface of mobile payment services and get more influenced by peers and society that shapes their intention to use mobile payment services.Originality/valueIt is first of its kind attempt to assess the role of Demonetization in examining the antecedents of behavioral intention and adoption of mobile payment services by users in India under an extended UTAUT model. This study comprehensively examined the impact of forced adoption of mobile payment services by users in India in a natural setting provided by demonetization event that took place in India by conducting a primary survey right itself in the month of February, 2017 to get first hand response from the Indian users.

Radiation Oncologists' Perceptions of Adopting an AI-Assisted Contouring Technology (Preprint)

2021 ◽  
Author(s):  
Huiwen Zhai ◽  
Xin Yang ◽  
Jiaolong Xue ◽  
Christopher Lavender ◽  
Tiantian Ye ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Health Care Professionals ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Chinese Context ◽  
Utaut Model ◽  
Radiation Oncologists ◽  
Facilitating Conditions

BACKGROUND The AI assisted contouring system benefits radiation oncologists in terms of saving time and improving treatment accuracy. There is much hope and fear around such technologies, and it is the fear which can emanate as resistance for health care professionals, leading to the failure of AI projects. OBJECTIVE The objective of this research was to develop and test a model investigating the factors that drive radiation oncologists’ acceptance of the AI contouring technology in the Chinese context. METHODS A model of AI assisted contouring technology acceptance based on the UTAUT model adding variables of perceived risk and resistance was proposed in this study. The model included eight constructs with 29 questionnaire items and 307 respondents completed the questionnaires. Structural equation modeling (SEM) was conducted to evaluate item the model's path effects, significance and fitness. RESULTS The overall fitness indices for the model were evaluated showing the hypothesized model has a good fit to the data. Behavioral intention was significantly affected by performance expectancy (beta=.155; P=.014), social influence (beta=.365; P<.001), and facilitating conditions (beta=.459; P<.001). Effort expectancy (beta=.055; P=.450), perceived risk (beta=.-048; P=.348), and resistance bias (beta=–.020; P=.634) did not significantly affect behavioral intention. CONCLUSIONS The physicians' overall perception of the AI assist technology for radiation contouring were high. Technology resistance among Chinese radiation oncologists was low and not related to behavioral intention. Not all of the factors in Venkatesh's UTAUT model apply to physicians' AI technology adoption in the Chinese context.

Consumer acceptance of mobile payment across time

2017 ◽  
Vol 117 (8) ◽  
pp. 1761-1776 ◽  
Author(s):  
Jinnan Wu ◽  
Lin Liu ◽  
Lihua Huang
Keyword(s):  
Perceived Risk ◽  
Positive Emotion ◽  
Perceived Usefulness ◽  
Consumer Acceptance ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Content Type ◽  
Market Growth ◽  
The Impact

Purpose Although perceived risk and usefulness have been identified as two major factors that influence consumer acceptance of an innovative mobile payment (m-payment), relatively few researchers have explored the impact of affective factors on perceived risk and usefulness, and the relationship between perceived risk and usefulness. Also, it is unclear whether there is a difference in the acceptance intention among users across different diffusion stages of this innovation. The purpose of this paper is to investigate the role of positive emotion in consumer acceptance of WeChat payment across time. Design/methodology/approach This study proposed and validated a framework integrating the consumer response system model and the affect heuristic. A total of 484 valid responses were collected through two online surveys at two diffusion stages of WeChat payment technology. The structural equation modeling and multigroup analysis were used to test the hypotheses. Findings The results show that users’ acceptance intention is relatively related to perceived risk, perceived usefulness, and positive emotion. Positive emotion has a strong negative impact on perceived risk and a positive impact on perceived usefulness. Also, perceived usefulness strongly decreases users’ perception of risk. Multigroup analyses find that both positive emotion and perceived risk have significant positive and negative impacts on acceptance intention at the stage of market introduction rather than market growth. Rather, the influence of positive usefulness on acceptance intention is significantly higher at the stage of market growth than at market introduction. Originality/value This study indicates that exploring the role of positive emotion and the moderating effect of diffusion stages in m-payment acceptance provides a more comprehensive understanding of how to achieve a greater acceptance rate of an innovative m-payment.

To continue or not to continue: a structural analysis of antecedents of mobile payment systems in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prashant Raman ◽  
Kumar Aashish
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Intention To Use ◽  
Payment Systems ◽  
Continuance Intention ◽  
Cross Sectional ◽  
Content Type ◽  
Payment Services

PurposeConsumers in India are increasingly using mobile payment systems (MPSs) to make online and offline payments. Digital payment applications are gradually being used as surrogates for cash, checks and plastic money. The motive behind this research is to analyze the different antecedents that impact the users' willingness to continue using the MPS in India.Design/methodology/approachAn extensive study of the literature review supports the creation of a framework that describes the continuance intention of using MPS. Data from a survey of 612 respondents from India were collected to assess the research model. The study used partial least squares (PLS)–structural equation modeling (SEM) technique to empirically validate the framework developed.FindingsThe outcomes of the research suggest that service quality, attitude, effort expectancy and perceived risk act as influencing antecedents of continuance intention to use MPS. Determinants like perceived trust, convenience and social value have no influence on users' continuance intention. SEM analysis has verified the proposed model, which explains 50.7% of the variance of the users' continuance intention of using MPSs.Research limitations/implicationsThe research is built upon cross-sectional data carried out in India. Hence, the outcomes of the study are limited to this region only.Practical implicationsEngaging with the consumers for a long time and enabling their continuance usage are extremely important for firms offering mobile payment services. The managerial implications provide insights into the different ways to capture new business opportunities to the firms rendering mobile payment services in the wake of changing consumer behavior.Originality/valueThis research tries to analyze users' continuance intention to use MPS in India. Although many research studies have investigated the willingness of the individuals to adopt novel technology in different frameworks, there are hardly any empirical studies carried out to analyze the antecedents of users' continuance intention to use MPSs.

Socio-demographic characteristics and green consumption behavior in developing countries: the case of Malaysia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jookyung Kwon ◽  
Jiseon Ahn
Keyword(s):  
Behavioral Intention ◽  
Demographic Characteristics ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Positive Effects ◽  
Green Hotel ◽  
Significant Difference ◽  
The Impact ◽  
Hotel Customers

Purpose The purpose of this study is to examine the effect of customers’ socio-demographic characteristics on the formation of behavioral intention toward green hotels in Malaysia. Design/methodology/approach The current study used partial least square-structural equation modeling to analyze a sample of 400 green hotel customers in Malaysia. Further, multi-group analysis (MGA) is conducted to examine whether a significant difference exists across demographic groups. Findings Attitude and perceived behavioral control exert positive effects on desire, which in turn considerably influences behavioral intention. Results of MGA indicate that attributions have varying effects on the desire and behavioral intention with different socio-demographic characteristics. In particular, negative anticipated emotion negatively predicts desire among the customers of the older group, whereas positive anticipated emotion and subjective norm positively influence desire among the customers of the low educational level group. Research limitations/implications The study examines green hotel customers’ behavior in Malaysia, and further research is needed to determine whether the impact of the proposed determinants across different industries. As the concept of corporate social responsibility (CSR) has started to influence customers’ behavior, the findings may be changing over time. Thus, a further longitudinal study would be beneficial to monitor the performance hotel CSR activities. Originality/value Although there is an increasing interest in CSR activities among Malaysian customers, there is a lack of information regarding customers’ motivation in the green hotel context. Furthermore, limited studies examined the role of customers’ demographic characteristics in the CSR literature. There is a need to understand green hotel industry and customers’ responses toward CSR activities.

Role of perceived risk in online banking and its impact on behavioral intention: trust as a moderator

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Simarpreet Kaur ◽  
Sangeeta Arora
Keyword(s):  
Behavioral Intention ◽  
Perceived Risk ◽  
Online Banking ◽  
Equation Modeling ◽  
Personal Contact ◽  
Alternative View ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose This paper aims to revisit the role of perceived risk in online banking, using an alternative view on trust as a moderator on the relationship between perceived risk and behavioral intention (BI). With this aim, the conceptual model was proposed to examine the impact of perceived risk on BI directly and indirectly via unified theory of acceptance and use of technology 2 along with its interactionist relationship with trust. Design/methodology/approach Structural equation modeling technique is used to analyze data collected from 677 bank customers via personal contact using a self-administered questionnaire. Findings The results indicate that perceived risk as a multi-dimensional construct has a direct and indirect impact on BI via performance expectancy, social influence, hedonic motivation and price value. Moreover, it was found that trust moderates the relationship between perceived risk and BI. Practical implications This study suggests that banks should create a trust-building mechanism in the online banking environment and develop certain risk management strategies such as providing detailed and thorough information, money-back guarantee and reassurance services to enhance confidence among the customers to use such services. The banks should also devote valuable efforts in designing website interface with improved security features to facilitate usability and reliability of online banking services. Originality/value The present study makes an important contribution to the existing literature on e-commerce, especially in the field of online banking, by proposing an interactionist model between perceived risk and trust. The proposed model has never been examined in the relevant literature and could be used to provide a solid theoretical foundation in the context of online banking adoption.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

The Use of Modified Unified Theory of Acceptance and Use of Technology to Predict the Behavioural Intention Toward Website

2014 ◽  
Vol 568-570 ◽  
pp. 1586-1592 ◽  
Author(s):  
Indrawati
Keyword(s):  
Behavioral Intention ◽  
Educational Institution ◽  
Survey Method ◽  
Unified Theory ◽  
Key Factors ◽  
Utaut Model ◽  
Use Of Technology ◽  
Stake Holder ◽  
Facilitating Conditions ◽  
The Impact

The availability of website for an institution is very important, especially for an educational institution just like ABC University. The website can become a mean of communication from the institute to its stake holder: students, parents, industries, lecturers, administrators, and government or from the stakeholders to the institution. The availability of website is also important to increase the image of the institution, since there is university web ranking published by WeboMatrix. ABC University has already built its website and communicated, socialized as well the availability of its website to all students, lecturers, and administrator. So far the adoption of the websites by students, lecturers, and administrators especially by using the Modified Unified Theory of Acceptance and Use of Technology (UTAUT) model has not been explored. This lack of knowledge motivated the researcher to conduct this study. This study investigates the key factors that affect the behavioral intention and used behavior of customers toward the use of the website in ABC University Indonesia. The approach employed for this study is based on a modified unified theory of acceptance and use of technology (UTAUT) model. A survey method was employed to gather data from 310 respondents coming from the students, lecturers, administrator, and management. The collected data was analyzed using a quantitative investigation. The partial least squares (PLS) method was used to quantitatively evaluate the impact of the key constructs of the modified UTAUT model. This research clearly confirmed that modified UTAUT model which consists ofperformance expectancy, effort expectancy, social influence, facilitating conditions, andcontentcan be used to determinebehavioral intentionof consumers to use Website.

Using UTAUT 2 model to predict mobile app based shopping: evidences from India

2017 ◽  
Vol 9 (3) ◽  
pp. 248-264 ◽  
Author(s):  
Preeti Tak ◽  
Savita Panwar
Keyword(s):  
Behavioral Intention ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile App ◽  
Content Type ◽  
Use Of Technology ◽  
Usage Behavior ◽  
Managerial Implications ◽  
Facilitating Conditions ◽  
The Impact

Purpose The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology (UTAUT) 2 model for examining the impact of various constructs on behavioral intention and usage behavior of smart phone users toward the mobile shopping apps. Design/methodology/approach The constructs were tested and validated by means of a structured questionnaire which was administered on a sample of 350 mobile app shoppers in Delhi. AMOS 20 was used to analyze the collected data. Findings The study revealed that hedonic and habit are the strongest predictors of users’ behavioral intention to use mobile apps for shopping. Respondents are also influenced by the deals that are being offered by the marketers. The research also suggests that facilitating conditions help in usage of mobile apps for shopping. Research limitations/implications Managerial implications simplifying the interface which would encourage the less technologically advanced individuals to use mobile apps. Hedonic element of shopping through mobile apps should also be enhanced. Originality/value This study contributes to the research on intentions and usage behavior of consumer technologies by adopting UTAUT 2 model to explain the intentions and usage behavior toward mobile apps for shopping. The paper also measured the role of deals in influencing the consumers.

Your network is your net worth: political ties and innovation performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Farrukh ◽  
Ali Raza ◽  
Abdul Waheed
Keyword(s):  
Partial Least Square ◽  
Innovation Performance ◽  
Least Square ◽  
Equation Modeling ◽  
Unique Contribution ◽  
Content Type ◽  
Net Worth ◽  
Political Ties ◽  
The Impact

PurposeBased on the social network theory, this study investigates the impact of political ties on innovation performance. Besides, this study also tests a mediation role of absorptive capacity (AC) and a moderation role of technology turbulence.Design/methodology/approachA hypothetico-deductive approach is adopted to test the hypotheses. Data were collected from the small and medium enterprises (SMEs) managers/owners through a structured questionnaire.FindingsPartial least square structural equation modeling technique is used to analyze the hypothesized relationships; the findings showed that political ties significantly impact the innovation performance, and this relationship is mediated by AC. Moreover, technological turbulence moderated the relationship between political ties and innovation performance.Originality/valueDespite the increasing attention to the role of networking in improving innovation, there is a scarcity of studies on the role of political ties, AC and technology turbulence in fostering organizational innovation; thus, this study is a unique contribution to literature.

Forecasting the schedule performance resulting from the adoption of social distancing in construction projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hilary Omatule Onubi ◽  
Nor'Aini Yusof ◽  
Ahmad Sanusi Hassan ◽  
Ali Ahmed Salem Bahdad
Keyword(s):  
Construction Projects ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Social Distancing ◽  
Schedule Performance ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

PurposeThe coronavirus disease 2019 (COVID-19) pandemic has had major impacts on the performance of construction projects that have adopted social distancing measures. This study examines the effect of social distancing measures on project schedule performance through job reorganization on construction project sites.Design/methodology/approachResponses were obtained through a survey of 154 construction projects and analysed using the partial least square structural equation modeling (PLS-SEM) technique.FindingsThe findings established that social distancing has a negative effect on schedule performance, social distancing has a positive effect on job re-organization and job re-organization has a positive effect on schedule performance. Additionally, the results indicate that job re-organization partially mediates the relationship between social distancing and schedule performance, while social distancing moderates the relationship between job re-organization and schedule performance with low social distancing having the stronger positive effect.Originality/valueThis study contributes theoretically to a greater understanding of the impact of adopting COVID-19 safety measures such as social distancing on the schedule performance of construction projects. The study also shows how social distancing could lead to schedule performance through job reorganization.

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