Developing a Research Model for Mobile Wallet Adoption and Usage

2020 ◽  
Vol 10 (1) ◽  
pp. 82-98
Author(s):  
Ajimon George ◽  
Prajod Sunny
Keyword(s):  
Service Providers ◽  
Research Model ◽  
Key Factors ◽  
The Public ◽  
Actual Usage ◽  
Proposed Model ◽  
Actual Use ◽  
Managerial Implications ◽  
Smartphone Technology ◽  
Contemporary Topic

The scope of the mobile wallet in a ‘Cashless India’, whose utility has been spurred by the exponentially growing smartphone technology, is a contemporary topic of deliberation. The reach of mobile wallets gets broader each day with the entry of new stakeholders into the scenario, making mobile wallets indispensible for meeting daily needs. Given the COVID-19 pandemic situation, increased reliance on mobile wallets, and its acceptability among the public and other associated e-services, researchers and service providers are eager to explore its adoption as well as its continued usage. This paper theoretically examines factors influencing behavioural intention and actual usage of mobile wallets through various technology adoption models and behavioural studies. Based on an extensive review of the literature, this paper attempts to draw a comprehensive conceptualization of mobile wallet adoption and actual use by exploring the influence of various key factors. This proposed model could successfully present the case of mobile wallet adoption and usage, as well as offer the possibility of deriving important managerial implications concerning effective marketing techniques.

Designing differential service strategy for two-dimensional warranty based on warranty claim data under consumer-side modularisation

2019 ◽  
Vol 234 (3) ◽  
pp. 550-561
Author(s):  
Tong Peng ◽  
Liu Chunling
Keyword(s):  
Service Providers ◽  
Claim Data ◽  
Two Dimensional ◽  
Function Type ◽  
Service Strategy ◽  
Actual Usage ◽  
Proposed Model ◽  
Warranty Service ◽  
The Mathematical Model

With the development of modular manufacturing technology and diversified demand for products, the demand for differential warranty service has become increasingly prominent. This article proposes a differential service strategy for two-dimensional warranty using warranty claim data under consumer-side modularisation. In contrast to previous research that optimised maintenance strategies under a given failure density function, this article obtains actual usage rate and failure density functions of main failure types by determining the function type and parameter fitting. A detailed case study of a product under a two-dimensional warranty is discussed to interpret the proposed model. Using the mathematical model proposed in this research, warranty service providers can offer consumers a differential warranty service under consumer-side modularisation.

Moderating effects of perceived risk on the determinants–outcome nexus of e-money behaviour

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Perengki Susanto ◽  
Mohammad Enamul Hoque ◽  
Nik Mohd Hazrul Nik Hashim ◽  
Najeeb Ullah Shah ◽  
Mohammad Nur A. Alam
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Structural Equation ◽  
Service Providers ◽  
Tertiary Education ◽  
Brand Strategy ◽  
Mobile Media ◽  
Content Type ◽  
Actual Usage ◽  
Managerial Implications

PurposeIn recent years, the usage rate of electronic money (e-money) has grown rapidly in many countries around the world and is becoming widely accepted in developing nations due to evolving market conditions and buying patterns. This study explores the determinants of customers' behavioural intention (BI) and actual usage behaviour (UB) of e-money service in a transition economic setting. Additionally, since there has been limited research on moderating influences, this study introduces perceived risk (PR) as a moderator, underpinned by relevant technology acceptance and behavioural theories.Design/methodology/approachThe proposed model and hypothesised variable relationships are tested using partial least squares-structural equation modelling (PLS-SEM) with survey data from 337 e-money service users in Indonesia.FindingsThe empirical results revealed that facilitating conditions (FCs), hedonic motivation (HM), price value (PV), habit (HT) and PR are important determinants of customers’ BI towards e-money and most of these variables also affect actual UB of e-money services. Performance expectancy (PE), effort expectancy (EE) and social influence (SI) emerged to be insignificant determinants. The study also uncovered that PR negatively moderates the links between EE, SI, HM, PV and BI towards e-money services. Likewise, PR has an adverse effect on the BI–actual UB relationship.Research limitations/implicationsA large portion of the sample comprised young individuals with tertiary education. In essence, the sample represents the millennial generation and they are generally characterised as responsive, innovative and technology literate. Future studies could advance the present understanding by comparing different customer backgrounds and country.Practical implicationsThe results shed light into the key factors that enhance e-money usage behaviours and have direct managerial implications with regard to brand strategy and market targeting. The findings imply that e-money service providers should take initiatives to retain users with effective and personalised marketing efforts, particularly via mobile media brand promotions.Originality/valueWhile there has been considerable discussion on how PR may impact on initial preference and adoption of e-money, existing studies seem to fall short in conceptualising and empirically examining the moderating role of PR on the determinants and outcome of e-money BI.

Factors Influencing the Adoption Intention of Artificial Intelligence for Public Engagement in Singapore

2020 ◽  
Vol 16 (4) ◽  
pp. 73-93
Author(s):  
Nanda Kumar Karippur ◽  
Shaohong Liang ◽  
Pushpa Rani Balaramachandran
Keyword(s):  
Artificial Intelligence ◽  
Public Engagement ◽  
Mobile Application ◽  
Service Providers ◽  
Digital Technologies ◽  
Research Model ◽  
Key Factors ◽  
Public Agencies ◽  
Factors Influencing ◽  
Adoption Intention

This study aims at examining the key factors influencing the adoption intention of artificial intelligence (AI)-enabled mobile application for public engagement. Digital technologies such as AI provide the opportunity for public agencies to be inclusive and invite citizens to participate in shaping and reshaping the future of public policies and methods of governance. The authors test the proposed research model and results highlight the significant roles of collaboration, hedonic motivation, reliability, and degree of app savviness in the adoption intention of AI application for public engagement. The article reports valuable insights and relevant implications for public agencies, service providers and researchers.

A Circular Business Model for Cloud Computing Services Providers

10.31355/33 ◽  
2018 ◽  
Vol 2 ◽  
pp. 105-120
Author(s):  
Hamed Motaghi ◽  
Saeed Nosratabadi ◽  
Thabit Qasem Atobishi
Keyword(s):  
Cloud Computing ◽  
Business Model ◽  
Circular Economy ◽  
Service Providers ◽  
Sustainable Consumption ◽  
Future Research ◽  
Extensive Literature ◽  
Computing Services ◽  
Proposed Model ◽  
Cloud Computing Service

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose................................................................................................................................................................................................. The main objective of the current study is to develop a business model for service providers of cloud computing which is designed based on circular economy principles and can ensure the sustainable consumption. Background Even though the demand for cloud computing technology is increasing day by day in all over the world, the current the linear economy principles are incapable to ensure society development needs. To consider the benefit of the society and the vendors at the same time, the principles of circular economy can address this issue. Methodology................................................................................................................................................................................................. An extensive literature review on consumption, sustainable consumption, circular economic, business model, and cloud computing were conducted. the proposed model of Osterwalder, Pigneur and Tucci (2005) is admitted designing the circular business model. Contribution................................................................................................................................................................................................. The proposed model of the study is the contribution of this study where provides the guidelines for the cloud computing service providers to achieve both their economic profits and the society’ needs. Findings Finding reveals that if the cloud computing service providers design their business model based on the “access” principle of circular economy, they can meet their economic profits and the society’ needs at a same time. Recommendations for Practitioners.............................................................................................................................................................. It is recommended to the startup and the existing businesses to utilize the proposed model of this study to reach a sustainable development. Recommendation for Researchers................................................................................................................................................................ It proposes a new circular business model and its linkages with community building. Impact on Society............................................................................................................................................................................................ The proposed model of the study provides guidelines to the cloud computing service providers to design a business model which is able not only to meet their economic profit, but also to meet the society’s and customers’ benefits. Future Research............................................................................................................................................................................................... Future researches can build on this research model which proposed in this study to examine the limitations of this model by using empirical researches.

scholarly journals A Dynamic Mobility Traffic Model Based on Two Modes of Transport in Smart Cities

Smart Cities ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 253-270
Author(s):  
Mohammed Bin Hariz ◽  
Dhaou Said ◽  
Hussein T. Mouftah
Keyword(s):  
Data Exchange ◽  
Smart Cities ◽  
Time Data ◽  
School Bus ◽  
The Public ◽  
Ride Sharing ◽  
Dynamic Mobility ◽  
Proposed Model ◽  
Loading System ◽  
Suitable Combination

This paper focuses on transportation models in smart cities. We propose a new dynamic mobility traffic (DMT) scheme which combines public buses and car ride-sharing. The main objective is to improve transportation by maximizing the riders’ satisfaction based on real-time data exchange between the regional manager, the public buses, the car ride-sharing and the riders. OpenStreetMap and OMNET++ were used to implement a realistic scenario for the proposed model in a city like Ottawa. The DMT scheme was compared to a multi-loading system used for a school bus. Simulations showed that rider satisfaction was enhanced when a suitable combination of transportation modes was used. Additionally, compared to the other scheme, this DMT scheme can reduce the stress level of car ride-sharing and public buses during the day to the minimal level.

scholarly journals The Determinants to Promote College Students’ Use of Car-Sharing: An Empirical Study at Dalian Maritime University, China

2021 ◽  
Vol 13 (12) ◽  
pp. 6627
Author(s):  
Shichao Sun ◽  
Yuanqian Liu ◽  
Yukun Yao ◽  
Zhengyu Duan ◽  
Xiaokun Wang
Keyword(s):  
College Students ◽  
Empirical Study ◽  
Service Providers ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Policy Implications ◽  
Key Factors ◽  
Car Sharing ◽  
Willingness To Use

Sustaining the development of car-sharing is considered an efficient way to counter environmental issues worldwide. Against this background, college students are recognized as a promising customer group of car-sharing service providers in China. However, the determinants that promote students’ willingness to use car-sharing services are rarely studied, and the uniqueness of college students in China in the context of car-sharing is justified. Therefore, this paper examines the key factors that affect Chinese college students’ adoption of car-sharing. An empirical study using samples from Dalian Maritime University was conducted, and survey data were collected via the Internet. Specifically, respondents’ socio-demographics were obtained, and their latent attitudes on car-sharing services were measured in terms of willingness to use car-sharing services, perceived usefulness, perceived ease of use and safety concerns. In addition, nine hypothetical travel scenarios were defined, and regarding each travel scenario, the respondents were asked to state whether they were willing or not to use car-sharing services. On this basis, a hybrid logit model was established to investigate the key factors that influenced the willingness to use car-sharing services. Aside from the common findings in line with previous studies, the results indicate that with the increase in the number of travel fellows, willingness to use car-sharing services went up. Furthermore, college students’ willingness to use car-sharing services was significantly affected by money costs rather than time costs. Additionally, college students in China are more likely to use car-sharing services during workday off-peak hours and weekends. Separately, among the respondents’ latent attitudes, only the perceived usefulness of car-sharing services was found to have a significant and positive impact on students’ willingness to use them. Relevant policy implications with regards to theoretical findings are also offered in this paper to car-sharing service providers in China.

New Key Factors Discovery to Enhance Dengue Fever Forecasting Model

2014 ◽  
Vol 931-932 ◽  
pp. 1457-1461 ◽  
Author(s):  
Phatsavee Ongruk ◽  
Padet Siriyasatien ◽  
Kraisak Kesorn
Keyword(s):  
Wind Speed ◽  
Dengue Fever ◽  
Forecast Model ◽  
Key Factors ◽  
Dengue Virus Infection ◽  
Conventional Model ◽  
Forecasting Error ◽  
Proposed Model ◽  
Basic Set ◽  
Almost All

There are several factors that can be used to predict a dengue fever outbreak. Almost all existing research approaches, however, usually exploit the use of a basic set of core attributes to forecast an outbreak, e.g. temperature, humidity, wind speed, and rainfall. In contrast, this research identifies new attributes to improve the prediction accuracy of the outbreak. The experimental results are analyzed using a correlation analysis and demonstrate that the density of dengue virus infection rate in female mosquitoes and seasons have strong correlation with a dengue fever outbreak. In addition, the research constructs a forecast model using Poisson regression analysis. The result shows the proposed model obtains significantly low forecasting error rate when compared it against the conventional model using only temperature, humidity, wind speed, and rainfall parameters.

scholarly journals Adaptive Reservation of Network Resources According to Video Classification Scenes

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1949
Author(s):  
Lukas Sevcik ◽  
Miroslav Voznak
Keyword(s):  
User Satisfaction ◽  
Quality Evaluation ◽  
Spatial Information ◽  
Service Providers ◽  
Video Quality ◽  
Subjective Assessment ◽  
Video Sequences ◽  
Network Resources ◽  
Proposed Model

Video quality evaluation needs a combined approach that includes subjective and objective metrics, testing, and monitoring of the network. This paper deals with the novel approach of mapping quality of service (QoS) to quality of experience (QoE) using QoE metrics to determine user satisfaction limits, and applying QoS tools to provide the minimum QoE expected by users. Our aim was to connect objective estimations of video quality with the subjective estimations. A comprehensive tool for the estimation of the subjective evaluation is proposed. This new idea is based on the evaluation and marking of video sequences using the sentinel flag derived from spatial information (SI) and temporal information (TI) in individual video frames. The authors of this paper created a video database for quality evaluation, and derived SI and TI from each video sequence for classifying the scenes. Video scenes from the database were evaluated by objective and subjective assessment. Based on the results, a new model for prediction of subjective quality is defined and presented in this paper. This quality is predicted using an artificial neural network based on the objective evaluation and the type of video sequences defined by qualitative parameters such as resolution, compression standard, and bitstream. Furthermore, the authors created an optimum mapping function to define the threshold for the variable bitrate setting based on the flag in the video, determining the type of scene in the proposed model. This function allows one to allocate a bitrate dynamically for a particular segment of the scene and maintains the desired quality. Our proposed model can help video service providers with the increasing the comfort of the end users. The variable bitstream ensures consistent video quality and customer satisfaction, while network resources are used effectively. The proposed model can also predict the appropriate bitrate based on the required quality of video sequences, defined using either objective or subjective assessment.

scholarly journals Investigating the Impact of Competition and Incentive Design on Performance of Crowdfunding Projects: A Case of Independent Movies

2021 ◽  
Vol 16 (4) ◽  
pp. 791-810
Author(s):  
Li Chen
Keyword(s):  
Real Data ◽  
Theoretical Explanation ◽  
Research Model ◽  
Key Factors ◽  
Incentive Design ◽  
Competition Intensity ◽  
Academic Researchers ◽  
Competition Pressure ◽  
The Impact ◽  
Funding Level

Recently, crowdfunding has become a popular e-commerce model based on web 2.0 platforms for fundraisers to collect funding from a large group of supporters using the Internet. However, many projects failed to reach their funding targets. Despite the growing interest of academic researchers and e-commerce professionals in identifying drivers of crowdfunding success, important factors like competition and incentive design have not received much attention in prior research. In this study we aim to fill this gap by investigating the impact of competition and incentive design on the performance of crowdfunding projects. Drawing upon literature of entrepreneurship, we develop a research model involving key factors such as competition intensity and the number of reward levels. Using real data of 209 independent movie projects of an online crowdfunding platform, we test the proposed hypotheses of the impact of competition and incentive design on crowdfunding success. Our results show that competition plays a significant role in crowdfunding performance. The higher competition pressure is, the lower performance of crowdfunding projects will be. We also find that factors such as the number of reward levels and the plan of attending movie festivals are essential to the success of crowdfunding projects, but the funding level of getting the top reward does not exert a significant impact. Our study contributes to the e-commerce literature by further exploring the mechanism of crowdfunding success with theoretical explanation and empirical evidence. Researchers and professionals can apply our theoretical findings regarding competition and incentive design in other e-commerce platforms. Furthermore, our results provide useful managerial insights and operational policies for project founders and managers of crowdfunding platforms.

A CONCEPTUAL MODEL TO UNDERSTAND THE EFFECTS OF PERCEPTION ON THE CONTINUANCE INTENTION IN FACEBOOK

2012 ◽  
Vol 01 (08) ◽  
pp. 29-34
Author(s):  
Shih-Chih Chen ◽  
Huei-Huang Chen ◽  
Mei-Tzu Lin ◽  
Yu-Bei Chen
Keyword(s):  
Information System ◽  
Social Networking ◽  
Conceptual Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Proposed Model ◽  
Managerial Implications

Recently, the social networking applications expand rapidly and attract a lot of users in a short time period. This study attempts to develop a conceptual model to understand the continuance intention in the context of social networking. The conceptual model integrates the post-acceptance model of information system continuance with perceived ease-of-use and perceived usefulness proposed by Bhattacherjee (2001a) and Davis (1989), respectively. In the proposed model, continuance intention is influenced by the relationship quality and information system quality. Additionally, nine propositions are developed based the proposed model and literature review. Finally, conclusions, managerial implications, and future direction of research are also provided.

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