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    Factors influencing customers’ purchasing behavior and satisfaction in Pizza Hut
    (2021-06-21)
    Fast food restaurants are prominent in many countries and they emphasize factors that can influence their customers’ purchasing behavior and boost their satisfaction of dining in and ordering online from their restaurants. The of this study is to identify the factors that are influencing customers’ purchasing behavior and satisfaction in Pizza Hut to provide useful advice to the business to assist the management in planning their strategies. The research was conducted through primary data sources such as surveys and secondary data sources such as website research. The participants in the survey totaled 106 Pizza Hut customers from Malaysia and Indonesia. The results of this study were Pizza Hut customers’ behavior is influenced by cultural factors, environmental and family factors, promotional and marketing factors, promotional price factors, and lifestyle factors while customers’ satisfaction is influenced by the variety of menu options, availability of payment methods, ease of navigation on the website, the service quality and other factors. They are helpful for the company to implement strategies to grasp customers’ attention and improve its performance.
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    Consumer behavior analysis on online and offline shopping during pandemic situation
    (2021-10-20)
    Shopping has undergone a paradigm shift as a result of technological influence, with most consumers preferring online purchasing to traditional physical store shopping. The current pandemic scenario has resulted in a shift in customer spending patterns both online and offline. This paper identifies and analyses customers’ behavior towards online and retail shopping based on various factors affecting their behavior on which mode of shopping most they prefer during the pandemic situation. Primary data was used and a structured questionnaire was utilized to obtain the data. An online survey was conducted to collect from 200 heterogeneous kinds of people. The data collected were subjected to frequency analysis, Chi-square test, and Cronbach’s Alpha Test. IBM Statistical Package for Social Sciences (SPSS v23) was used for analyzing the data. The results revealed that among the various technological factors the proficiency rate of respondents utilizing, the internet has shown a significant impact on the consumers’ preference towards the mode of shopping. Factors like quick product information, a wider choice of products, better prices and discounts highly influence the consumers to opt for online shopping, whereas faster delivery time and product quality reliability and accuracy influence the consumers to choose offline shopping.
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    Discovery of urban mobility patterns
    (Springer International Publishing, 2021-01-01)
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    Better efficiency on non-performing loans debt recovery and portfolio valuation using machine learning techniques
    (Springer, 2022-01-01)
    The following research is based on a portfolio of non-performing loans (NPLs), which was previously acquired and managed by a collection agency, the company under study is one of the owners of the portfolio. The study compares the efficiency and performance of several machine learning algorithms to develop and implement a forecasting tool to estimate the recovery rate of NPL portfolios. These models help to enhance and support the debt collection operation, allowing to forecast the number of debtors that will be recovered in the lifetime of the portfolio, as well as to efficiently manage resources (recovery task force) by reducing costs and expenses. The application aims to support the valuation process at the time of portfolio purchase. The study shows that the application using a binary ranking approach based on the XGBoost model outperforms other techniques, offering good results. It is also evident that product type was one of the most influential variables among the different models. The model using this algorithm could serve as a decision support tool, precisely in the operation of purchasing a portfolio of unprofitable debts, as it allows the quantification of the client’s debt to be recovered by identifying the group of potential debtors with the highest probability of compliance, which would result in a faster and more efficient debt collection process.
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    Advertising and Eco-Labels as Influencers of Eco-Consumer Attitudes and Awareness: Case Study of Ecuador
    (2023-12-20)
    The present study identified the influence of green advertising and eco-labels on the attitude and environmental awareness of millennials who purchase ecological products in shopping centers in Ecuador. The research was quantitative, correlational and with a cross-sectional design. A total of 430 millennials participated in the study. A 20-question survey was applied in person outside the shopping centers of Quito and Guayaquil - Ecuador. The convergent and discriminant validity of the research model was verified using Confirmatory Factor Analysis (CFA) and Structural Equation Models (SEM). SPSS 20 and AMOS 24 programs were used for statistical analysis. The results show that green advertising influences environmental attitudes (β: 0,245) and awareness (β: 0,110) and specifically influences purchasing behaviour (β: 0,154) for green products. Although eco-labels do not directly influence purchasing behaviour (β: 0,128), they influence the attitudes (β: 0,406) and ecological awareness (β: 0,277) of millennials who buy organic products. This article is one of the first studies to identify the relationship between green advertising elements and green product purchasing behaviors among millennials in a developing country, concluding that marketing strategies based on green advertising and eco-labels have an impact on the attitude and environmental awareness of millennials, but only advertising directly affects purchasing behaviour while eco-labels do not. This research has social implications since it corroborates that millennials are concerned about environmental problems and are willing to contribute to sustainability.
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