scholarly journals Trust Types and Mediating Effect of Consumer Trust in m-payment Adoption: An empirical Examination of Vietnamese Consumers

2021 ◽  
Vol 25 ◽  
Author(s):  
Tuan Anh Nguyen ◽  
Hiep Cong Pham ◽  
Martin Dick ◽  
Joan Richardson
Keyword(s):  
Technology Adoption ◽  
Quantitative Method ◽  
Service Providers ◽  
Mediating Effect ◽  
Consumer Trust ◽  
Empirical Examination ◽  
Policy Makers ◽  
Different Types ◽  
Technology Protection ◽  
Positive Impacts

This study employs a quantitative method to investigate different types of trust in m-payment adoption. It aims to overcome the limitation of previous studies which are lack of differentiating trust types and investigating any mediating effect to m-payment adoption. Data of the study was collected in Vietnam, one of fastest growing m-payment usage markets globally in 2019. The research found significant and positive impacts of m-payment provider trust, institution-based trust, and seller trust on the overall consumer trust, which then fully mediates the relationships of three trust types and m-payment adoption. The study also revealed that technology trust is embedded in m-payment provider trust, suggesting that the m-payment provider is considered fully responsible for ensuring technology protection from the perspective of the m-payment consumers. The results enable researchers to better understand trust characteristics in m-payment adoption as well as technology adoption in general. In addition, the findings are beneficial to practitioners such as policy makers, consultants, and m-payment service providers to improve different elements of consumer trust, leading to higher m-payment adoption.

The Physical Internet – review, analysis and future research agenda

2017 ◽  
Vol 47 (8) ◽  
pp. 736-762 ◽  
Author(s):  
Henrik Sternberg ◽  
Andreas Norrman
Keyword(s):  
Technology Adoption ◽  
Research Agenda ◽  
Business Models ◽  
Service Providers ◽  
External Pressure ◽  
Future Research ◽  
Grand Challenge ◽  
Policy Makers ◽  
Content Type ◽  
Physical Internet

Purpose The Physical Internet (PI) is an emerging concept that applies the Digital Internet as a design metaphor for the development of sustainable, interoperable and collaborative freight transport. With the aim of aiding researchers and policy makers in their future efforts to develop efficient logistics systems, the purpose of this paper is to present a review of the existing literature on the PI, to critically discuss the concept and to outline a research agenda. Design/methodology/approach The literature review investigates scientific papers, project reports, specifications and other publications related to PI. In total, 46 publications were finally analyzed. The approach used in this paper is technology adoption by firms. The authors examine the PI based on four factors: organizational readiness (technological blueprints), external pressure (promised effects), perceived benefits (business model) and adoption. Findings A growing number of strategies, blueprints and specifications have been developed for PI, yet there are no currently developed models that illustrate how the move from the entrenched logistics business models to the PI could ensue. There is a lack of understanding of the business models needed that can involve critical actors and promote the adoption of the PI concept. Research limitations/implications While using the internet as a metaphor for reimagining physical transports is certainly exciting, this review and analysis suggest that several research questions need to be addressed before further PI blueprint work is carried out. Practical implications The “grand challenge” of sustainability in logistics needs to be addressed and improved, but the authors’ analysis suggests that, to some extent, it is uncertain how the PI will contribute to improving sustainability, and why logistics service providers should engage in PI. Policy makers and practitioners are provided with critical issues to consider in the practical development and adoption of the concept. Originality/value This paper provides an outsider and technology-adoption perspective of PI research, as well as important implications for policy makers and researchers.

Validating the Measurement Constructs Affecting the Technology Adoption in Indian Mobile Banking Industry

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Muragesh Y. Pattanshetti ◽  
Sachin S. Kamble ◽  
Sudheer M. Dhume ◽  
Shradha Gawankar
Keyword(s):  
Technology Adoption ◽  
Perceived Risk ◽  
Service Providers ◽  
Business Environment ◽  
Retail Banking ◽  
Appropriate Technology ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Measurement Scale ◽  
Mobile Banking

Mobile phones have undeniably brought a paradigm shift, affecting both the lives of people and the business environment. Today, mobile phone has permeated the lives of billions of people around the world, becoming for many an indispensable device. Moreover, adoption of mobile banking has significant impact on reducing costs and enabling change in retail banking. Factors influencing the intention to use or adopt mobile banking are very important and will play a vital role for mobile banking service providers. The proposed study focuses on a comprehensive set of potential factors that influence the adoption of mobile banking. The research model identifies appropriate factors and captures dependency relationships among these factors in the form of a number of hypotheses to be tested in this research. This paper aims to design a scale with a high degree of reliability, validity, and dimensionality which helps to determine the appropriate technology adoption model based on the identified constructs, viz. Optimism (OPTI), Innovativeness (INNO), Insecurity (INSC), Discomfort (DISC), Perceived Usefulness (PU), Perceived Ease of Use (PEU), Perceived Risk (PR), Subjective Norms (SN), Attitude (ATTI), Behavioural Control (BC) and Behavioural Intention (BI). The data were collected through questionnaire survey from 201 respondents comprising software engineers, bank employees, professors, entrepreneurs. Confirmatory factor analysis was used to test the validity of the proposed measurement scale for all the identified constructs. This instrument helps bankers to determine and design there applications which will contribute to the knowledge of predicting customer intention.

Comprehensive Effects of Short-Term Rental Platforms Across Hotel Types in U.S. and International Destinations

2021 ◽  
pp. 193896552110335
Author(s):  
John W. O’Neill ◽  
Jihwan Yeon
Keyword(s):  
Service Providers ◽  
Comprehensive Analysis ◽  
Competitive Market ◽  
Substitution Effects ◽  
Short Term ◽  
Hotel Performance ◽  
The World ◽  
Different Types ◽  
Location Type ◽  
The Impact

In recent years, short-term rental platforms in the lodging sector, including Airbnb, VRBO, and HomeAway, have received extensive attention and emerged as potentially alternative suppliers of services traditionally provided by established commercial accommodation providers, that is, hotels. Short-term rentals have dramatically increased the available supply of rooms for visitors to multiple international destinations, potentially siphoning demand away from hotels to short-term rental businesses. In a competitive market, an increase in supply with constant demand would negatively influence incumbent service providers. In this article, we examine the substitution effects of short-term rental supply on hotel performance in different cities around the world. Specifically, we comprehensively investigate the substitution effects of short-term rental supply on hotel performance based on hotel class, location type, and region. Furthermore, we segment the short-term rental supply based on its types of accommodations, that is, shared rooms, private rooms, and entire homes, and both examine and quantify the differential effects of these types of short-term rentals on different types of hotels. This study offers a comprehensive analysis regarding the impact of multiple short-term rental platforms on hotel performance and offers both conceptual and practical insights regarding the nature and extent of the effects that were identified.

scholarly journals Consumer Trust as the Antecedent of Online Consumer Purchase Decision

Information ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 145
Author(s):  
Anas Hidayat ◽  
Tony Wijaya ◽  
Asmai Ishak ◽  
Putra Endi Catyanadika
Keyword(s):  
Questionnaire Survey ◽  
Service Providers ◽  
Perceived Value ◽  
Partial Least Square ◽  
Least Square ◽  
Consumer Trust ◽  
Purchase Decision ◽  
Internet Users ◽  
Online Consumer

The e-commerce industry in Indonesia is growing in line with the increasing number of internet users in Indonesia. Unfortunately, many internet users in Indonesia are still unsure about shopping online because of the lack of buyer trust with sellers and service providers. This study aims to identify the factors that influence online shop consumers to conduct transactions online. This research used a questionnaire survey distributed to customers who had ever used an online shop application. The sample used in this research was 468 respondents. The data collected was then analyzed using Partial Least Square. The results of this research indicated that trust, perceived value, and buying interest positively influence consumers’ decisions to purchase using an online shop application.

scholarly journals How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Konstantin D. Pandl ◽  
Scott Thiebes ◽  
Manuel Schmidt-Kraepelin ◽  
Ali Sunyaev
Keyword(s):  
Disease Spread ◽  
Contact Tracing ◽  
Behavioral Characteristics ◽  
Policy Makers ◽  
Detection Range ◽  
Proximity Detection ◽  
Effective Technology ◽  
Different Types ◽  
Effectiveness And Efficiency ◽  
The Impact

AbstractTo combat the COVID-19 pandemic, many countries around the globe have adopted digital contact tracing apps. Various technologies exist to trace contacts that are potentially prone to different types of tracing errors. Here, we study the impact of different proximity detection ranges on the effectiveness and efficiency of digital contact tracing apps. Furthermore, we study a usage stop effect induced by a false positive quarantine. Our results reveal that policy makers should adjust digital contact tracing apps to the behavioral characteristics of a society. Based on this, the proximity detection range should at least cover the range of a disease spread, and be much wider in certain cases. The widely used Bluetooth Low Energy protocol may not necessarily be the most effective technology for contact tracing.

Electronic Customer Relationship Management (E-CRM) and Customer Loyalty

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0
Keyword(s):  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Service Providers ◽  
Positive Impact ◽  
Equation Model ◽  
Mediating Effect ◽  
Customer Relationship ◽  
The Impact ◽  
The Relationship

This study examined the impact of E-CRM on customer loyalty with the mediating effect of customer satisfaction in the banking industry. Customer satisfaction is important for loyalty because when the customers are satisfied with the services offered by their service providers, the relationship gets stronger which further leads to positive word-of-mouth. The data was collected using purposive sampling from 836 banks’ customers who were using E-CRM services and the data was analyzed using structural equation model (SEM) through AMOS. The results revealed that E-CRM and customer satisfaction had a significant positive impact on customer loyalty and also customer satisfaction partially mediated the relationship between E-CRM and customer loyalty. This study would offer useful acumen to both academicians and marketers and would help the bank managers to improve the quality of the services provided to their customers.

Impact of regulatory announcements on systemic risk in the Indian telecom sector

2018 ◽  
Vol 13 (5) ◽  
pp. 1395-1416 ◽  
Author(s):  
Sushma Priyadarsini Yalla ◽  
Som Sekhar Bhattacharyya ◽  
Karuna Jain
Keyword(s):  
Risk Premium ◽  
Systemic Risk ◽  
Service Providers ◽  
Policy Makers ◽  
Content Type ◽  
Risk Premiums ◽  
Buffering Hypothesis ◽  
Research Findings ◽  
Telecom Sector ◽  
The Impact

Purpose Post 1991, given the advent of liberalization and economic reforms, the Indian telecom sector witnessed a remarkable growth in terms of subscriber base and reduced competitive tariff among the service providers. The purpose of this paper is to estimate the impact of regulatory announcements on systemic risk among the Indian telecom firms. Design/methodology/approach This study employed a two-step methodology to measure the impact of regulatory announcements on systemic risk. In the first step, CAPM along with the Kalman filter was used to estimate the daily β (systemic risk). In the second step, event study methodology was used to assess the impact of regulatory announcements on daily β derived from the first step. Findings The results of this study indicate that regulatory announcements did impact systemic risk among telecom firms. The study also found that regulatory announcements either increased or decreased systemic risk, depending upon the type of regulatory announcements. Further, this study estimated the market-perceived regulatory risk premiums for individual telecom firms. Research limitations/implications The regulatory risk premium was either positive or negative, depending upon the different types of regulatory announcements for the telecom sector firms. Thus, this study contributes to the theory of literature by testing the buffering hypothesis in the context of Indian telecom firms. Practical implications The study findings will be useful for investors and policy-makers to estimate the regulatory risk premium as and when there is an anticipated regulatory announcement in the Indian telecom sector. Originality/value This is one of the first research studies in exploring regulatory risk among the Indian telecom firms. The research findings indicate that regulatory risk does exist in the telecom firms of India.

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