Results

Found 10 articles

Clear filters

Does the sharing economy change conventional consumption modes?
PDF
2022 | International Journal of Information Management | Citations: 1
Authors: Fang, Yu-Hui; Li, Chia-Ying

Abstract: The development of peer-to-peer platforms has reduced the profitability of exist ... Expand

Abstract: The development of peer-to-peer platforms has reduced the profitability of existing business operations. How ever, relatively few studies have explored consumer switching between sharing economy platforms and existing business operations. By using the push–pull–mooring framework, this study explores the predictors that affect consumer switching between a third-party online travel agent (OTA) platform and Airbnb to understand spe cifically how push, pull, and mooring factors shape consumers’ switching behaviors. Data are collected from 347 users of third-party OTA platforms and Airbnb through an online questionnaire survey. Confirmatory factor analysis and structural equation modeling are performed using AMOS 24.0. The findings reveal that push factors (low structural assurance and low standardization), pull factors (monetary saving, sustainability, interactivity, and authenticity), and mooring factors (substitutability) positively influence switching behavior. Substitutability moderates the positive effects of push factors on switching behavior. This study contributes to the PPM frame work by identifying factors that influence consumers’ behavior of switching between a third-party OTA platform and Airbnb. In addition, this study is the first to consider substitutability and network externalities as mooring variables that facilitate switching by consumers. Airbnb and traditional hotels compete across various market segments, which results in substitutability as well as complementary relationships between them in some cities. Traditional business sections may also consider leveraging their strengths to distinguish themselves from new sharing economy services, thus delivering distinct value propositions to their consumers. This study provides reference that managers of third-party OTA platforms can use to differentiate their services from Airbnb and to maintain or increase profit by encouraging or discouraging switching among consumers. Collapse

Semantic filters: push-pull-mooring theory

Topics: Airbnb network effect sharing platform anonymity online community

Methods: survey structural equation modeling SEM tool chi squared test confirmatory factor analysis

Theories: push-pull-mooring theory
Switching Behaviour in Smart Phone Messaging Services – It’s a Question of Context, Content, and Features of the Service
PDF
2021 | HICSS | Citations: 0
Authors: Mckenna, Brad; Mäkinen, Petri; Tuunanen, Tuure

Abstract: This paper studies switching behaviour in smart phone messaging services. This s ... Expand

Abstract: This paper studies switching behaviour in smart phone messaging services. This study aims to add knowledge about the factors affecting switching behaviour in smart phone messaging services. The empirical study is qualitative, and the data was collected with interviews using the laddering method. This study was carried out to find out the reasons behind customer decisions when choosing between smart phone messaging services. Using the Push-Pull Mooring framework, the findings of this study indicate that the switching decision regarding smart phone messaging service is influenced by three factors: the context of the message, the content of the message, and the features of the service. Collapse

Semantic filters: push-pull-mooring theory

Topics: smartphone social norm usability mobile application

Methods: qualitative interview cluster analysis qualitative content analysis

Theories: push-pull-mooring theory
Exploring the Determinants of Customer Loyalty to Internet-Only Bank Services

2021 | Americas Conference on Information Systems | Citations: 0
Authors: Wu, Ya-Ling; Chen, Kai-Hsien

Abstract: Due to the rapid developments of Fin Tech businesses, more people are relying o ... Expand

Abstract: Due to the rapid developments of Fin Tech businesses, more people are relying on Internet-only banking as their only way of doing financial business. Based on migration theory, the purpose of this study is to adopt the Push-Pull-Mooring (PPM) model proposed by Bogue (1969) to explore consumer loyalty of using internet-only bank services. Furthermore, we identified two Push factors, including perceived security risk and vulnerability, five pull factors, including network externality, information quality, system quality, service quality and service innovation, as well as two Mooring factors, including habit and trust. Data collected from 233 customers provide strong support for the research model. It is hoped that the findings can provide the best improvement strategies to satisfy the internet-only bank services for customers' behavior needs. Collapse

Semantic filters: push-pull-mooring theory

Topics: internet technology business process innovation innovation management network effect service quality

Methods: partial least squares regression survey survey design PLS tool

Theories: push-pull-mooring theory migration theory
An empirical study of brand microblog users’ unfollowing motivations: The perspective of push-pull-mooring model
PDF
2020 | International Journal of Information Management | Citations: 0
Authors: Tang, Zhenya; Chen, Leida

Abstract: Brand microblogs (BMs) have been increasingly utilized by companies to facilitat ... Expand

Abstract: Brand microblogs (BMs) have been increasingly utilized by companies to facilitate communication and foster deeper relationships with their customers. In addition to attracting new followers, retaining existing followers is equally, if not more, important to the success of BM operators. Drawing upon the migration theory, this study develops a push-pull-mooring (PPM) model of BM unfollowing motivations to enhance our understanding of the significant antecedents that promote BM users’ unfollowing intention. The study empirically investigates the three categories of antecedents of the BM unfollowing intention: push (dissatisfaction with information quality, dissatisfaction with service quality, and person brand unfit), pull (alternative attractiveness), and mooring (perceived unfollowing costs) effects. The results suggest that the three groups of unfollowing motivations display varying degrees of influence on BM users’ unfollowing intention. Theoretical and managerial implications of the findings of this study are also discussed. Collapse

Semantic filters: push-pull-mooring theory

Topics: microblog data quality Sina Weibo service quality information system use

Methods: survey data transformation factor analysis partial least squares path modeling partial least squares regression

Theories: migration theory push-pull-mooring theory
Easy come or easy go? Empirical evidence on switching behaviors in mobile payment applications
PDF
2019 | Information & Management | Citations: 20
Authors: Wang, Le; Luo, Xin (Robert); Yang, Xue; Qiao, Zhilin

Abstract: Switching behaviors of mobile payment application received scarce attention. Thi ... Expand

Abstract: Switching behaviors of mobile payment application received scarce attention. This study investigates the key factors influencing the switching behaviors of mobile payment application through the perspective of the push–pull–mooring framework. Privacy concerns, alternative rewards, and inertia are identified as push, pull, and mooring factors, respectively. The model was tested with 3785 valid responses among Alipay users. Inertia was found to attenuate the relationship between alternative rewards and switching behavior. This study sheds new light on the switching behavior of mobile payment application users. Our findings inform service providers to retain existing users as well as attract potential users. Collapse

Semantic filters: push-pull-mooring theory

Topics: information privacy concern electronic payment self efficacy mobile payment mobile system

Methods: survey partial least squares regression chi squared test data transformation mediation analysis

Theories: status quo bias theory push-pull-mooring theory
The power of a thumbs-up: Will e-commerce switch to social commerce?
PDF
2018 | Information & Management | Citations: 0
Authors: Li, Chia-Ying; Ku, Yi-Cheng

Abstract: By taking advantage of social networking capabilities, social commerce provides ... Expand

Abstract: By taking advantage of social networking capabilities, social commerce provides features that encourage customers to share their personal experiences. The popularity of online social networks has driven the purchase decisions of buyers on social commerce sites, but few studies have explored why consumers switch between e-commerce (product-centered) and social (social-centered) commerce sites. In applying the push–pull–mooring model, the objective of this study was to gain an understanding of specifically how push, pull, and mooring factors shape their switching intentions. The findings revealed that push effect, in terms of low transaction efficiency, drives customers away from e-commerce sites, whereas the pull effects, including social presence, social support, social benefit, and self-presentation, attract customers to social commerce sites. Moreover, mooring effects, including conformity and personal experience, strengthened consumers’ behavior in switching between e-commerce and social commerce sites. Besides, conformity was also found to moderate the influences of social presence, social support, social benefit, and efficiency on switching intention, whereas personal experience moderated the effects of social benefit, self-presentation, and efficiency on switching intention. Such an understanding assists online retailers in understanding online shoppers’ switching behaviors, and thus turning social interactions into profits and sales. Collapse

Semantic filters: push-pull-mooring theory

Topics: electronic commerce social commerce social presence website electronic market

Methods: survey partial least squares regression exploratory factor analysis PLS tool descriptive statistic

Theories: expectation confirmation theory unified theory of acceptance and use of technology technology acceptance model push-pull-mooring theory
Social Influences in Consumers’ Mobile Phone Switching Behavior

2015 | Americas Conference on Information Systems | Citations: 0
Authors: Nykänen, Jussi Ilmari; Tuunainen, Virpi Kristiina; Piispanen, Jouni; Tuunanen, Tuure

Abstract: Mobile phones have become a commodity and consumers switch their phones increasi ... Expand

Abstract: Mobile phones have become a commodity and consumers switch their phones increasingly often. Earlier research suggests that social influences have a role in mobile phone switching, but the literature does not well explain what the underlying dynamics behind it are. We address this gap and report a longitudinal study on the social influences in consumers’ mobile phone switching behavior. Theoretically the paper is founded on switching behavior and more specifically on the push-pull-mooring framework that has been recently used to explain consumers’ switching behavior related to different products and services. Our mostly qualitative survey data was collected annually among Finnish university students during 2012-2014. While mobile phone users primarily base their switch decisions on rational reasons, indications of social influences on their switching behavior were discovered. Most interestingly, respondents seemed to recognize the role of social influences in their past behavior, but did not connect this to their future decisions. Collapse

Semantic filters: push-pull-mooring theory

Topics: social influence mobile phone Apple iPhone network effect smartphone

Methods: survey personal interview longitudinal research survey design longitudinal survey

Theories: push-pull-mooring theory
The push, pull and mooring effects in virtual migration for social networking sites
PDF
2014 | Information Systems Journal | Citations: 117
Authors: Chang, I-Cheng; Liu, Chuang-Chun; Chen, Kuanchin

Abstract: Social networking sites (SNSs) have become increasingly common in recent years, ... Expand

Abstract: Social networking sites (SNSs) have become increasingly common in recent years, and their use has become integrated into the daily lives of millions of people across the world. Attracting new users and retaining existing ones are critical to the success of SNS providers. This study applies the push-pull-mooring model of the migration theory to improve our understanding of factors that influence the switching behavior of SNS users. Following the migration theory, this study empirically examines the three categories of antecedents for SNS switching intention: push (i.e., dissatisfaction and regret), pull (i.e., alternative attractiveness), and mooring (i.e., switching costs) factors. The results show that the three categories of factors had varying degrees of effects on switching intention. Additionally, the strong moderation effects of both pull and mooring factors help answer the question why switching does not necessarily occur when push factors are in effect. Managerial implications are provided. Collapse

Semantic filters: push-pull-mooring theory

Topics: switching cost social network online banking usage intention network effect

Methods: survey partial least squares regression structural equation modeling data transformation PLS tool

Theories: migration theory regret theory push-pull-mooring theory
Retaining and attracting users in social networking services: An empirical investigation of cyber migration
PDF
2014 | Journal of Strategic Information Systems | Citations: 0
Authors: Xu, Yunjie (Calvin); Yang, Yinping; Cheng, Zengyan; Lim, John

Abstract: Users are the most critical strategic resource of any online social networking s ... Expand

Abstract: Users are the most critical strategic resource of any online social networking service (SNS). This paper offers strategic recommendations for SNS providers based on an empirical study exploring why users switch from a primary SNS to others. We first identify important characteristics that combine to distinguish SNSs from conventional information systems, then develop a “cyber migration” research model that includes push, pull and mooring factors which influence user intention to switch from one SNS to another. Findings from a field survey of 180 users reveal four significant factors that promote switching: dissatisfaction with socialization support, dissatisfaction with entertainment value, continuity cost, and peer influence. Strategies grounded in these factors are suggested for SNS providers to better attract and retain users. Collapse

Semantic filters: push-pull-mooring theory

Topics: switching cost data quality Facebook social network user behavior

Methods: survey survey design qualitative interview robustness check statistical hypothesis test

Theories: information systems theory technology acceptance model expectation confirmation theory push-pull-mooring theory information systems success model
Understanding career commitment of IT professionals: Perspectives of push–pull–mooring framework and investment model
PDF
2011 | International Journal of Information Management | Citations: 0
Authors: Fu, Jen-Ruei

Abstract: Using push–pull–mooring framework and investment model as theoretical lenses, th ... Expand

Abstract: Using push–pull–mooring framework and investment model as theoretical lenses, this study provides a compelling theoretical model that helps understand the important antecedents of career commitment of IT professionals. Especially, we examined the moderating role of IT career tenure. Data to test the hypotheses were drawn from a cross-sectional ﬁeld study of MIS departments from top-1000 large-scale companies in Taiwan. The results generally supported the research model. Career satisfaction was the most important determinant of career commitment, followed by professional self-efﬁcacy, threat of professional obsolescence and career investment. The moderating analysis revealed distinct patterns that IT professionals seemed to hold different attitudes about the careers at different stages. The career attitudes of senior IT professionals were largely driven by push factors. On the contrary, the expelling forces which driving people away from their current careers (push effects) and personal inhibitors and facilitators (mooring effects) seemed equally important to junior IT professionals on their attitudes toward committing to the IT career. Insight and implications on management strategy for IT/HR managers are discussed. Collapse

Semantic filters: push-pull-mooring theory

Topics: IT career self efficacy IT workforce anonymity strategic management

Methods: survey partial least squares regression data transformation field study descriptive statistic

Theories: push-pull-mooring theory

Page 1 of 1

AIS11

Journals

Conferences

Semantic Filter

Found 10 articles

Does the sharing economy change conventional consumption modes?

Switching Behaviour in Smart Phone Messaging Services – It’s a Question of Context, Content, and Features of the Service

Exploring the Determinants of Customer Loyalty to Internet-Only Bank Services

An empirical study of brand microblog users’ unfollowing motivations: The perspective of push-pull-mooring model

Easy come or easy go? Empirical evidence on switching behaviors in mobile payment applications

The power of a thumbs-up: Will e-commerce switch to social commerce?

Social Influences in Consumers’ Mobile Phone Switching Behavior

The push, pull and mooring effects in virtual migration for social networking sites

Retaining and attracting users in social networking services: An empirical investigation of cyber migration

Understanding career commitment of IT professionals: Perspectives of push–pull–mooring framework and investment model