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Examining the dynamic engagement process of passengers in online car-hailing system: a view of user value
16 references·0 citing·53 second hopsampled
Examining the dynamic engagement process of passengers in online car-hailing system: a view of user value (2024)Examining the dynamic engagement process …An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain (2022)An analyses of the effect of …RFM-based repurchase behavior for customer classification and segmentation (2021)RFM-based repurchase behavior…Factors influencing customer's loyalty towards ride-hailing taxi services – A case study of Vietnam (2020)Factors influencing customer'…RFM model for customer purchase behavior using K-Means algorithm (2019)RFM model for customer purcha…Predicting customer value per product: From RFM to RFM/P (2019)Predicting customer value per…Linking lifestyle to customer lifetime value: An exploratory study in an online fashion retail market (2019)Linking lifestyle to customer…Customer Purchase Intent Prediction Under Online Multi-Channel Promotion: A Feature-Combined Deep Learning Framework (2019)Customer Purchase Intent Pred…A mixed method investigation of sharing economy driven car-hailing services: Online and offline perspectives (2018)A mixed method investigation …Theory of value co-creation: a systematic literature review (2014)Theory of value co-creation: …A Partially Hidden Markov Model of Customer Dynamics for CLV Measurement (2013)A Partially Hidden Markov Mod…Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study (2011)Estimating customer lifetime …Classifying the segmentation of customer value via RFM model and RS theory (2008)Classifying the segmentation …Toward a framework of product development for global markets: a user-value-based approach (2007)Toward a framework of product…Modeling Customer Lifetime Value (2006)Modeling Customer Lifetime Va…Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Return on Marketing: Using Cu…Customer lifetime value: Marketing models and applications (1998)Customer lifetime value: Mark…Balancing Acquisition and Retention Resources to Maximize Customer Profitability (2004)Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis (2016)Product substitution in different weights and brands considering customer segmentation and panic buying behavior (2018)Retail business analytics: Customer visit segmentation using market basket data (2018)Book Review: The One to One Future: Building Relationships One Customer at a Time (1995)E-Business 2.0: Roadmap for Success (2000)Marketing management: analysis. planning. implementation and control (2000)Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Mining smart card data for transit riders’ travel patterns (2013)Evolving to a New Dominant Logic for Marketing (2003)Open Innovation: The New Imperative for Creating and Profiting from Technology (2003)Service-dominant logic: continuing the evolution (2007)Brand value co-creation in a digitalized world: An integrative framework and research implications (2015)Managing Co‐creation Design: A Strategic Approach to Innovation (2015)What is co-creation? An interactional creation framework and its implications for value creation (2017)Principles of Marketing (1972)Zero defections: quality comes to services. (1990)The Commitment-Trust Theory of Relationship Marketing (1994)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Conditional logit analysis of qualitative choice behavior (1972)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence (1988)Corporate Social Responsibility, Customer Satisfaction, and Market Value (2006)Customer Engagement Behavior: Theoretical Foundations and Research Directions (2010)Understanding Customer Experience Throughout the Customer Journey (2016)The Antecedents and Consequences of Customer Satisfaction for Firms (1993)Automobile Prices in Market Equilibrium (1995)Firm-Created Word-of-Mouth Communication: Evidence from a Field Test (2009)Undervalued or Overvalued Customers: Capturing Total Customer Engagement Value (2010)Creating Enduring Customer Value (2016)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Developing and Validating Trust Measures for e-Commerce: An Integrative Typology (2002)E-S-QUAL (2004)The sharing economy and digital platforms: A review and research agenda (2018)Online service quality and perceived value in mobile government success: An empirical study of mobile police in China (2020)Modeling consumers’ trust in mobile food delivery apps: perspectives of technology acceptance model, mobile service quality and personalization-privacy theory (2022)The nature of human values (1973)Motivation and personality (1993)Motivation and Personality (1997)Millennials’ purchasing behavior toward fashion clothing brands: influence of brand awareness and brand schematicity (2020)Customer lifetime value: investigating the factors affecting attitudinal and behavioural brand loyalty (2021)How does shopping duration evolve and influence buying behavior? The role of marketing and shopping environment (2021)Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining (2012)Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review (2016)A multidisciplinary perspective of big data in management research (2017)An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm (2020)Customer segmentation by web content mining (2021)RFM model customer segmentation based on hierarchical approach using FCA (2023)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Investigating the complexity of perceived service quality and perceived safety and security in building loyalty among bus passengers in Vietnam – A PLS-SEM approach (2020)The intricate relationships of consumers’ loyalty and their perceptions of service quality, price and satisfaction in restaurant service (2022)
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References

  • 2003Return on Marketing: Using Customer Equity to Focus Marketing Strategy2,214 cited
  • 1998Customer lifetime value: Marketing models and applications975 cited
  • 2014Theory of value co-creation: a systematic literature review908 cited
  • 2006Modeling Customer Lifetime Value759 cited
  • 2008Classifying the segmentation of customer value via RFM model and RS theory453 cited
  • 2020Factors influencing customer's loyalty towards ride-hailing taxi services – A case study of Vietnam220 cited
  • 2019RFM model for customer purchase behavior using K-Means algorithm210 cited
  • 2011Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study182 cited
  • 2018A mixed method investigation of sharing economy driven car-hailing services: Online and offline perspectives174 cited
  • 2019Linking lifestyle to customer lifetime value: An exploratory study in an online fashion retail market101 cited
  • 2021RFM-based repurchase behavior for customer classification and segmentation96 cited
  • 2019Predicting customer value per product: From RFM to RFM/P92 cited
  • 2007Toward a framework of product development for global markets: a user-value-based approach73 cited
  • 2013A Partially Hidden Markov Model of Customer Dynamics for CLV Measurement47 cited

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  • 2022An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain45 cited
  • 2019Customer Purchase Intent Prediction Under Online Multi-Channel Promotion: A Feature-Combined Deep Learning Framework44 cited
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