Articles

The Impact of Airline Responds to Service Failure towards Customers’ Satisfaction and Loyalty in the Airline Industry

/in /by

This study explores the relationship between airline responses to service failures and customer’s satisfaction and loyalty in the airline industry. Using a framework that includes various airline response categories derived from a service blueprint such as overbooking, flight delays, cancellations, lost or damaged luggage, in-flight service issues, customer service failures, and security issues, this study investigates the relationship between these factors and customer satisfaction, as well as the resulting impact on customer loyalty. A qualitative approach has been used alongside by using non-probability sampling that will be use in this study includes snowball sampling and convenience sampling. Upon collected data through survey, the result is then being regressed linearly in SPSS. The analysis of data reveals that effective and timely handling of service failures, as well as considerate handling of complaints, play a significant role in determining customer satisfaction. In addition, customer satisfaction influences customer loyalty positively, highlighting the significance of service recovery in nurturing long-term customer relationships. The findings emphasize the need for airlines to prioritize efficient service recovery processes, such as transparent communication and adequate compensation for service failures. Future research recommendations include investigating the role of technology in service recovery efforts and other service failure scenarios. This study contributes to the existing body of knowledge on service recovery in the airline industry and offers insights for marketing strategies to increase customer satisfaction and loyalty.

Quality Improvement to Enhance Customer Satisfaction Using Lean Six Sigma (Case Study: XYZ Restaurant)

/in /by

Bandung was designated as a national culinary destination city in 2017 by the Ministry of Tourism due to its culinary diversity. The development of food and beverage businesses in Bandung, which increased from 524 in 2020 to 729 in 2021[4], shows that competition in the culinary business is quite intense. XYZ is one of the restaurants that can survive during the Covid-19 pandemic. However, XYZ often experiences complaints from customers regarding the quality of its products and services. Usually, this restaurant can receive 200-300 customers on weekdays and 400-600 customers on weekends. But until now, XYZ only receives 50% of its customers. This research will discuss the improvement of product and service quality using the DMAIC Lean Six Sigma methodology. The research uses primary data by distributing questionnaires to XYZ customers who visited in 2021 to 2023. From the results of the questionnaire, 4 out of 19 sub-variables customers feel that the performance is not good but has a high importance, namely in T1 (Taste), TX1 (Texture), E1 (Empathy), and R1 (Reliability). These four indicators need to be improved so that customers feel satisfied with the services and products provided by XYZ. Based on the main problems from the data obtained, quality improvement efforts that can be made such as employee training and quality control at suppliers. These efforts aim to improve and maintain the quality of XYZ for the long term so that an increase in the number of customers can be achieved, such as 200-300 visitors on weekdays and 400-600 on weekends.

The Effect of Service Quality and the Mediating Role of Customer Satisfaction for Improving Service Loyalty in Hospital (Case Study on Annisa Hospital in Bogor Regency)

/in /by

Many of the industrial sectors have been affected by the covid-19 pandemic, such as health industry. Hospital is one of the health facilities that is needed by the public. West Java is an area that has been highly affected by this pandemic. To compete with others, Annisa Hospital must be ready to maintain their good services to patient and always controlling their performance day by day. Also, with provide great service quality will lead to customer satisfaction and maintain service loyalty. The research using 3 variables such as service loyalty(X), customer satisfaction(Z) as mediator, and service loyalty(Y). This research has proposed to see (1) the effect of service quality on customer satisfaction, (2) the effect of service quality on service loyalty, and (3) the effect of customer satisfaction on service loyalty. This research using quantitative method to collect the data, determined by 200 respondents as a sample. The data will be analyzed with path analysis and calculated with IBM SPSS Statistics. The result of this research found that there is indirect effect between service quality on service loyalty through customer satisfaction have a positive and significant effect with the p-value (0.000 <0.050), with a coefficient obtained of 0.248. The result has a significance value that (0,200 > 0.05) which means is normally distributed. Meanwhile the path analysis result on the effect of service quality on service loyalty through customer satisfaction obtain a significance value (p-value) smaller than α (<0.05). This research has a conclusion that Annisa hospital must maintain their service quality to created customer satisfaction and develop service loyalty.

Predicting Customer Satisfaction through Sentiment Analysis on Online Review

/in /by

User-generated content, such as user reviews, posts, tags, ratings, and opinions on the internet, can be used as a business indicator if collected and appropriately analyzed. One of the examples is predicting customer satisfaction through implementing big data analytics on online reviews. In analyzing the user-generated content to predict customer satisfaction, the author implements machine learning approach using the Sentiment Analysis method. Five-fold cross-validation was performed to train the classification model. The training was performed with a combination of tokenization methods: term frequency-inverse document frequency (tf-idf) and bag-of-words; n-gram types: unigram, bigram, trigram, and combination of unigram, bigram, and trigram; and machine learning algorithms: linear support vector classification (LinearSVC) and multinomial naïve bayes (MultinomialNB). The result was then evaluated using classification performance metrics such as precision, recall, F1 measure, and AUC score.

The result shows that the tf-idf vectorizer performs similarly to the bag-of-words method. A similar result was also observed for machine learning algorithm selection. Both MultinomialNB and LinearSVC produce the same performance. Low-level n-grams (such as unigrams and bigrams) tended to have higher precision, recall, F1 measure, and AUC score than high-order n-grams (such as trigrams). The best results were achieved by combining unigrams, bigrams, and trigrams, resulting in an average performance score of 0.94 for all measurements. From the result and analysis, the author finds that predicting customer satisfaction using text and sentiment analysis methods on user-generated content is possible. The model’s performance in this experiment is decent, with high precision, recall, F1, and AUC score.

Proposed Marketing Strategy to Increase Customer Loyalty with Customer Satisfaction at Restaurant

/in /by

The restaurant industry is a highly competitive space, with a large number of businesses vying for customers and trying to stand out in a crowded market. There are several factors that contribute to the competitiveness of the industry, including the abundance of options available to consumers, the increasing popularity of food delivery and takeout services, and the use of technology to enhance the customer experience. In order to succeed in this industry, restaurants must offer high-quality food and service, and also differentiate themselves from their competitors through unique offerings, strong branding, and effective marketing strategies. Additionally, restaurants must be mindful of trends and changes in consumer preferences and adapt their business models accordingly in order to stay competitive. To address these issues, the company must devise a strategy that addresses the underlying causes. This could entail conducting a market analysis and determining the needs of the target customer base. The restaurant’s strengths, weaknesses, opportunities, and threats were identified using a SWOT analysis. Based on this analysis, it was determined that changing the company’s TOWS strategy would be the best course of action. This could be accomplished by implementing a revised service marketing mix. The purpose of this study was to better understand the relationship between the 7P marketing mix, customer satisfaction, and customer loyalty in order to retain customers. According to the findings, there are four variables that can influence customer satisfaction (Product, People, Process, and Physical Evidence). Customer satisfaction has a significant impact on customer loyalty and should be incorporated into restaurant marketing mix strategy.

Customer Satisfaction towards Online Shopping

/in /by

Online shopping is the biggest part of customer attraction as well as customer satisfaction. In today’s technology environment, most businesses rely on internet purchasing to both please their consumers and attract new ones. The effects of online shopping on improving customer satisfaction are the subject of this study report. The study also sought to determine the effects of online shopping on improving customer satisfaction in retail establishments. The research tasks entailed an ethical construction of a questionnaire keeping in view the research topic and tasks at hand. The construction of the survey was done keeping multiple touch points in consideration. Extensive research was done to identify the most prominent issues in the realm of online shopping. The survey was constructed based on these observations and was then circulated to a group of 100 respondents of varying ages, genders, and from different physical locations. Likert scales were used to gather experience-based data from all respondents. After being working on the research, we have come to learn that customer satisfaction plays a vital role in how the choices of people to shop online. Websites offering online shopping must have good customer services and user-friendly applications or websites to be easily accessible to the public and therefore making them prefer online shopping over in-person shopping. The study also revealed that online shopping has a variety of consequences (age and gender) and according to the analysis, online shopping assists in good quality, access, and comfort, resulting in increased customer satisfaction.