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Food delivery application user segmentation in the mobile marketing world in China
16 references·2 citing·46 second hop
Food delivery application user segmentation in the mobile marketing world in China (2021)Food delivery application user segmentati…Differences in perceptions about food delivery apps between single-person and multi-person households (2018)Differences in perceptions ab…Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services (2016)Consumer experiences, attitud…Latent Class Analysis: An Alternative Perspective on Subgroup Analysis in Prevention and Treatment (2011)Latent Class Analysis: An Alt…The influence of online product recommendations on consumers’ online choices (2004)The influence of online produ…Measuring customer perceived online service quality (2004)Measuring customer perceived …Understanding mobile handheld device use and adoption (2003)Understanding mobile handheld…Trust and TAM in Online Shopping: An Integrated Model1 (2003)Trust and TAM in Online Shopp…The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)The DeLone and McLean Model o…Latent Class Cluster Analysis (2002)Latent Class Cluster AnalysisApplied Latent Class Analysis (2002)Applied Latent Class AnalysisThe Relationships between Culture and Service Quality Perceptions (2000)The Relationships between Cul…Exploring the factors associated with Web site success in the context of electronic commerce (2000)Exploring the factors associa…Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Customer Satisfaction Cues To…Market Segmentation, Product Differentiation, and Marketing Strategy (1987)Market Segmentation, Product …Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Structural Equation Models wi…Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)Product Differentiation and M…Customers’ perceived value influenced their decision to utilize mobile food delivery applications in Thailand (2025)Customers’ perceived value in…Minds Think Alike: How Do Food Delivery Mobile Applications Innovate Consumer Service (2022)Minds Think Alike: How Do Foo…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (2006)Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006)A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents (2007)Information Systems Success: The Quest for the Dependent Variable (1992)Understanding Information Technology Usage: A Test of Competing Models (1995)The balanced scorecard: Translating strategy into action (1997)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)A Paradigm for Developing Better Measures of Marketing Constructs (1979)The Behavioral Consequences of Service Quality (1996)Enticing online consumers: an extended technology acceptance perspective (2002)Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model (2004)Understanding e-learning continuance intention: An extension of the Technology Acceptance Model (2006)Latent Structure Analysis. (1969)Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study (2007)Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences (2009)Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach (2013)Practitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls (2020)The state of evidence for social and emotional learning: A contemporary meta-analysis of universal school-based SEL interventions (2023)Information and Consumer Behavior (1970)The processes of causal attribution. (1973)Exploring the value of online product reviews in forecasting sales: The case of motion pictures (2007)The impact of electronic word‐of‐mouth (2008)The Impact of New Media on Customer Relationships (2010)Handbook of Social Psychology (2013)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)PLS-SEM: Indeed a Silver Bullet (2011)Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse (2019)Why do people use food delivery apps (FDA)? A uses and gratification theory perspective (2019)What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? (2020)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)User Acceptance of Information Technology: Toward A Unified View1 (2003)Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models (1974)Investigating population heterogeneity with factor mixture models. (2005)Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept (2009)The impact of urbanization on CO2 emissions: Evidence from developing countries (2011)Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication (2005)Latent Class Analysis: A Guide to Best Practice (2020)Latent profile analysis: A review and “how to” guide of its application within vocational behavior research (2020)Issues and Advances in Segmentation Research (1978)Assessing Advantage: A Framework for Diagnosing Competitive Superiority (1988)Innovation, organizational capabilities, and the born-global firm (2004)
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References

  • 1981Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics13,274 cited
  • 2003The DeLone and McLean Model of Information Systems Success: A Ten-Year Update11,772 cited
  • 2003Trust and TAM in Online Shopping: An Integrated Model18,618 cited
  • 2002Applied Latent Class Analysis2,019 cited
  • 1956Product Differentiation and Market Segmentation as Alternative Marketing Strategies1,909 cited
  • 2002Latent Class Cluster Analysis1,823 cited
  • 2004The influence of online product recommendations on consumers’ online choices1,584 cited
  • 2000Exploring the factors associated with Web site success in the context of electronic commerce1,523 cited
  • 2011Latent Class Analysis: An Alternative Perspective on Subgroup Analysis in Prevention and Treatment1,198 cited
  • 2016Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services912 cited
  • 2000The Relationships between Culture and Service Quality Perceptions798 cited
  • 2000Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior629 cited
  • 1987Market Segmentation, Product Differentiation, and Marketing Strategy611 cited
  • 2003Understanding mobile handheld device use and adoption507 cited

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2004
Measuring customer perceived online service quality
498 cited
  • 2018Differences in perceptions about food delivery apps between single-person and multi-person households497 cited
  • Cited by

    • 2022Minds Think Alike: How Do Food Delivery Mobile Applications Innovate Consumer Service7 cited
    • 2025Customers’ perceived value influenced their decision to utilize mobile food delivery applications in Thailand5 cited