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Identification of Telecom Volatile Customers Using a Particle Swarm Optimized K-Means Clustering on Their Personality Traits Analysis
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References

  • 2016Integration of standardization and customization: Impact on service quality, customer satisfaction, and loyalty469 cited
  • 2017Stimulating and sustaining interest in a language course: An experimental comparison of Chatbot and Human task partners448 cited
  • 2016Customer relationship building: The role of brand attractiveness and consumer–brand identification331 cited
  • 2018The effect of service quality on customer satisfaction, loyalty, and happiness in five Asian countries236 cited
  • 2017The Handbook of Customer Satisfaction and Loyalty Measurement204 cited
  • 2016Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success150 cited
  • 2016The link between customer satisfaction and loyalty: the moderating role of customer characteristics142 cited
  • 2018Daily strengths use and employee well‐being: The moderating role of personality132 cited
  • 2017Relationships between brand experiences, personality traits, prestige, relationship quality, and loyalty129 cited
  • 2017Negative word of mouth can be a positive for consumers connected to the brand127 cited
  • 2017Examining the moderating role of personality traits in the relationship between brand trust and brand loyalty106 cited
  • 2017International market entry mode – a systematic literature review88 cited
  • 2017Evaluating the Effects of Service Quality, Customer Satisfaction, and Service Value on Behavioral Intentions with Life Insurance Customers in India

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79 cited
  • 2017The Relationship Between Personality Traits (Extraversion And Neuroticism), Emotions and Customer Self-Satisfaction73 cited
  • 2016How does word of mouth affect customer satisfaction?67 cited
  • 2017Consumer-based virtual brand personality (CBVBP), customer satisfaction and brand loyalty in the online banking industry65 cited
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