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The Impact of Cashless Payment in Application-Based Transportation on Gen Z User Behavior in Jakarta
16 references·5 citing·45 second hopsampled
The Impact of Cashless Payment in Application-Based Transportation on Gen Z User Behavior in Jakarta (2023)The Impact of Cashless Payment in Applica…Information confusion as a driver of consumer switching intention on social commerce platforms: a multi-method quantitative approach (2023)Information confusion as a dr…Determinants of switching intention from web-based stores to retail apps: Habit as a moderator (2022)Determinants of switching int…Why do people switch mobile payment service platforms? An empirical study in Taiwan (2020)Why do people switch mobile p…Effect of entrepreneurial orientation, market orientation and total quality management on performance (2020)Effect of entrepreneurial ori…The characteristics of Generation Z (2018)The characteristics of Genera…Examining consumer luxury brand-related behavior intentions in a social media context: The moderating role of hedonic and utilitarian motivations (2018)Examining consumer luxury bra…Understanding users' switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull-mooring framework (2017)Understanding users' switchin…Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation (2015)Examining the role of initial…An Empirical Examination of Users' Switch from Online Payment to Mobile Payment (2015)An Empirical Examination of U…SEM-PLS Analysis of Inhibiting Factors of Cost Performance for Large Construction Projects in Malaysia: Perspective of Clients and Consultants (2014)SEM-PLS Analysis of Inhibitin…Retaining and attracting users in social networking services: An empirical investigation of cyber migration (2014)Retaining and attracting user…Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014)Antecedents of the adoption o…Why end-users move to the cloud: a migration-theoretic analysis (2013)Why end-users move to the clo…The push, pull and mooring effects in virtual migration for social networking sites (2013)The push, pull and mooring ef…An empirical examination of continuance intention of mobile payment services (2012)An empirical examination of c…Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry (2010)Switching intention model dev…The Use of Quick Response Code Indonesian Standard (QRIS) in Jakarta: Are Usefulness and Resistance to Technology Stronger Than Perceived Security and Technological Anxiety? (2024)The Use of Quick Response Cod…Resistant to Change, Self-efficacy, Awareness, and Perceptions of Price on the Use of Digital Banks as Complementary Banks (2024)Resistant to Change, Self-eff…Is Attitude Towards Technology Use Powerful Enough to Moderate the Social Influence on Usage Behavior? A Study on an E-Healthcare Application for Generation Y in Jakarta (2024)Is Attitude Towards Technolog…EXAMINING CRITICAL FACTORS INFLUENCING GENERATION Z’S ACCEPTANCE OF MOBILE PAYMENT SYSTEMS IN BANGLADESH: A UTAUT MODEL ANALYSIS (2023)EXAMINING CRITICAL FACTORS IN…Determinants of COVID-19 Mobile Advertising Acceptance Among Generation Z in Jabodetabek (2023)Determinants of COVID-19 Mobi…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)On the Evaluation of Structural Equation Models (1988)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)Factors influencing online shoppers’ repurchase intentions: The roles of satisfaction and regret (2016)Advances in Social Media Research: Past, Present and Future (2017)Fake news on Social Media: the Impact on Society (2022)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Travelers' switching behavior in the airline industry from the perspective of the push-pull-mooring framework (2016)The power of a thumbs-up: Will e-commerce switch to social commerce? (2017)The impact of perceived price justice and satisfaction on loyalty: the mediating effect of revisit intention (2019)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017)Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach (2017)Automated vehicle acceptance in China: Social influence and initial trust are key determinants (2020)Information Systems Success: The Quest for the Dependent Variable (1992)Social media engagement and organic post effectiveness: A roadmap for increasing the effectiveness of social media use in hospitality industry (2019)Integrating and synthesising technostress research: a meta-analysis on technostress creators, outcomes, and IS usage contexts (2023)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Cloud computing research in the IS discipline: A citation/co-citation analysis (2016)An empirical investigation of users’ voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework (2018)Understanding the effect of cloud computing on organizational agility: An empirical examination (2018)G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)PLS-SEM: Indeed a Silver Bullet (2011)Studying the relationship between causes and effects of poor communication in construction projects using PLS-SEM approach (2021)Exploring the usage intention of AI-powered devices in smart homes among millennials and zillennials: the moderating role of trust (2023)Exploring the application of PLS-SEM in construction management research: a bibliometric and meta-analysis approach (2024)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender (2018)Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust (2018)Unearthing the determinants of Blockchain adoption in supply chain management (2020)The measurement and antecedents of affective, continuance and normative commitment to the organization (1990)Online social media fatigue and psychological wellbeing—A study of compulsive use, fear of missing out, fatigue, anxiety and depression (2018)Easy come or easy go? Empirical evidence on switching behaviors in mobile payment applications (2019)Correlates of social media fatigue and academic performance decrement (2020)Multigeneration Employees: Strategies for Effective Management (2000)Generational differences in work values, outcomes and person‐organisation values fit (2008)Generational differences in work values, outcomes and person-organisation values fit (2011)Educational experiences with Generation Z (2020)Social Media Usage by Different Generations as a Tool for Sustainable Tourism Marketing in Society 5.0 Idea (2021)Exploring the Darkverse: A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse (2023)Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM (2014)Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)
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References

  • 2012An empirical examination of continuance intention of mobile payment services917 cited
  • 2014Antecedents of the adoption of the new mobile payment systems: The moderating effect of age504 cited
  • 2018The characteristics of Generation Z462 cited
  • 2015Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation460 cited
  • 2017Understanding users' switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull-mooring framework297 cited
  • 2013The push, pull and mooring effects in virtual migration for social networking sites270 cited
  • 2010Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry265 cited
  • 2014SEM-PLS Analysis of Inhibiting Factors of Cost Performance for Large Construction Projects in Malaysia: Perspective of Clients and Consultants193 cited
  • 2013Why end-users move to the cloud: a migration-theoretic analysis189 cited
  • 2014Retaining and attracting users in social networking services: An empirical investigation of cyber migration180 cited
  • 2020Effect of entrepreneurial orientation, market orientation and total quality management on performance167 cited
  • 2018Examining consumer luxury brand-related behavior intentions in a social media context: The moderating role of hedonic and utilitarian motivations148 cited
  • 2020Why do people switch mobile payment service platforms? An empirical study in Taiwan

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99 cited
  • 2022Determinants of switching intention from web-based stores to retail apps: Habit as a moderator75 cited
  • 2015An Empirical Examination of Users' Switch from Online Payment to Mobile Payment45 cited
  • 2023Information confusion as a driver of consumer switching intention on social commerce platforms: a multi-method quantitative approach32 cited
  • Cited by

    • 2023EXAMINING CRITICAL FACTORS INFLUENCING GENERATION Z’S ACCEPTANCE OF MOBILE PAYMENT SYSTEMS IN BANGLADESH: A UTAUT MODEL ANALYSIS15 cited
    • 2023Determinants of COVID-19 Mobile Advertising Acceptance Among Generation Z in Jabodetabek10 cited
    • 2024The Use of Quick Response Code Indonesian Standard (QRIS) in Jakarta: Are Usefulness and Resistance to Technology Stronger Than Perceived Security and Technological Anxiety?9 cited
    • 2024Is Attitude Towards Technology Use Powerful Enough to Moderate the Social Influence on Usage Behavior? A Study on an E-Healthcare Application for Generation Y in Jakarta9 cited
    • 2024Resistant to Change, Self-efficacy, Awareness, and Perceptions of Price on the Use of Digital Banks as Complementary Banks8 cited