Evaluating the Effects of Personality on Continuance Intention of Online User

Ong, Chorng‐Shyong; Lin, Michael Yu-Ching

doi:10.4018/ijea.2018010103

Tracking How a Change in a Telecom Service Affects Its Customers Using Sentiment Analysis and Personality Insight

Adl

¹

,

Elfergany

²

2022

Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines

0

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Tracking the effect of change a telecom service on customer feeling is an important process for telecom companies. As a result of tangible growth and large competition among telecom companies, customer retention and satisfaction are the most important challenges faced by telecom companies nowadays. Customer retention can be achieved by identifying the feeling of the telecom customers after changing service and take care of the customers by modifying the services that aren't accepted by its customers. Hence, this article was done by using a combination of four stages of: text pre-processing, personality analysis, sentiment analysis, and a chatbot system. This article shows the effect of using the personality traits, agreeableness and emotional range, with sentiment analysis to help reaching a full description of customer feel. Combining the sentiment analysis Naïve Bayes technique in the natural language processing and personality insights pre-learning stage and adding feedback using the obtained results achieves higher accuracy than using the traditional sentiment analysis techniques.

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Applying the AHP Model to Explore Key Success Factors for High-Tech Startups Entering International Markets

Chen

¹

,

Tsai

²

,

Liu

³

2019

International Journal of E-Adoption

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Compared to various other types of entrepreneurships, high-tech entrepreneurships are the most difficult to succeed in, but the rewards can be great. For startups, identifying customers and markets are as important as developing a product. Given the limited scale of domestic markets, if a high-tech startup wants to become a unicorn company, it goes without saying that entering international markets is necessary. This study considers high-tech startups as the research object. Through literature review, it first summarizes five major dimensions and 15 criteria. Then, it conducts the preliminary questionnaire survey on the effects of firm competencies and industry environment on internationally successful high-tech startups using expert questionnaires. The questionnaire survey was also used to establish the hierarchical structure and key success factors (KSF). Subsequently, the study conducted survey and statistical analysis of the questionnaire data using analytic hierarchy process (AHP). By assessing the dimensions and summarizing the key success factors, this study can serve as a useful reference for future startups. Existing startups can examine their own conditions and opportunities to reconsider their strategic positioning. Additionally, the findings of this study can support high-tech startups to enable them to concentrate on their core competencies in order to strengthen competitiveness and likelihood of success in international markets.

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Tracking How a Change in a Telecom Service Affects Its Customers Using Sentiment Analysis and Personality Insight

Adl

¹

,

Elfergany

²

2020

International Journal of Service Science, Management, Engineering, and Technology

View full text Add to dashboard Cite

Tracking the effect of change a telecom service on customer feeling is an important process for telecom companies. As a result of tangible growth and large competition among telecom companies, customer retention and satisfaction are the most important challenges faced by telecom companies nowadays. Customer retention can be achieved by identifying the feeling of the telecom customers after changing service and take care of the customers by modifying the services that aren't accepted by its customers. Hence, this article was done by using a combination of four stages of: text pre-processing, personality analysis, sentiment analysis, and a chatbot system. This article shows the effect of using the personality traits, agreeableness and emotional range, with sentiment analysis to help reaching a full description of customer feel. Combining the sentiment analysis Naïve Bayes technique in the natural language processing and personality insights pre-learning stage and adding feedback using the obtained results achieves higher accuracy than using the traditional sentiment analysis techniques.

show abstract

Evaluating the Effects of Personality on Continuance Intention of Online User

Cited by 3 publications

References 68 publications

Tracking How a Change in a Telecom Service Affects Its Customers Using Sentiment Analysis and Personality Insight

Tracking How a Change in a Telecom Service Affects Its Customers Using Sentiment Analysis and Personality Insight

Applying the AHP Model to Explore Key Success Factors for High-Tech Startups Entering International Markets

Tracking How a Change in a Telecom Service Affects Its Customers Using Sentiment Analysis and Personality Insight

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