Spending Behavior Research Articles

Forecasting Market Activity and Aggregate Demand in China Using Time Series Models

The purpose of this study was to forecast market activity and aggregate demand in China using time series models. Forecasts of market activity (MA) and aggregate demand (AD) provide insights into consumer behavior and economic trends, which are crucial for policymakers and businesses alike. In order to forecast the MA and AD in China, this study uses the time series model, especially the exponential smoothing model. Based on the increase rates of M1 and M2 money supply, respectively, and the difference in increase rates between them. These indicators are necessary to assess MA and AD and reflect changes in money liquidity and people's spending behavior. The results suggest that people will be less willing to spend and more inclined to save in the coming years. This finding suggests that MA may decline as consumers become more cautious and prioritize saving over spending. This trend could be attributed to a variety of factors, including economic uncertainty or changes in monetary policy. The implications of this research are significant because it provides a forecasting framework that can help policymakers and businesses anticipate changes in consumer demand and adjust their strategies accordingly. Understanding these trends can lead to more informed decisions in economic planning and financial forecasting.

Consumer behavior and spending patterns on cultural goods and services

This study investigates the factors influencing consumer behavior and spending patterns on cultural goods and services. Using a quantitative research approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data were gathered through a structured survey of 350 respondents from diverse demographic backgrounds. The results reveal that cultural interest, social influence, and perceived value have a significant and positive impact on consumer spending behavior, with cultural interest showing the strongest influence (β = 0.45, p < 0.01). Additionally, the study highlights the mediating role of perceived value in the relationship between social influence and spending behavior. These findings provide practical insights for marketers and cultural institutions aiming to better understand consumer motivations in the cultural sector. Future research should consider expanding the sample size and exploring other potential mediating variables.

Hybrid Feature Engineering Based on Customer Spending Behavior for Credit Card Anomaly and Fraud Detection

Hybrid Feature Engineering Based on Customer Spending Behavior for Credit Card Anomaly and Fraud Detection

Financial Inclusion Knowledge, Spending Behavior, and Ease of Use on Interest in Using the DANA Application

This study aims to examine how financial inclusion knowledge, spending behavior, and ease of use influence students' interest in using the DANA application. Financial inclusion knowledge is considered important as it provides an understanding of digital financial products and services, while spending behavior reflects how individuals manage their expenses and make financial decisions. Furthermore, the application's ease of use is a key factor that can influence users' interest in adopting financial technology like DANA. This research employs a quantitative approach using a survey method. Data from 100 students in Deli Sumatera University's management study program was collected using a questionnaire and analyzed using multiple linear regression. The research results show that knowledge of financial inclusion, spending behavior, and ease of use have a positive and significant impact on the interest in using the DANA application. Among these three variables, knowledge of financial inclusion has the most dominant influence on the interest in usage. The more students know about financial inclusion, the more they want to use DANA. In addition, planned spending behavior and the ease of using the DANA application also play a significant role in encouraging interest in using the app. Based on these findings, this research contributes to understanding the factors that influence interest in using digital financial applications and supports the enhancement of financial inclusion among students

Optimizing Career Woman's Financial Management Through Monthly Budget and Fintech

General Background: The financial management landscape for career women has evolved significantly in the digital era, particularly with the rise of financial technology (fintech). Specific Background: The integration of fintech facilitates budgeting and expense tracking, allowing career women to manage their finances more effectively. However, while fintech offers convenience, it may also contribute to impulsive spending behavior due to easy access to funds. Knowledge Gap: Existing literature lacks a comprehensive understanding of how career women utilize fintech for financial management and the implications of this technology on their budgeting practices. Aims: This study aims to explore the financial management strategies employed by career women in the digital era, focusing on budgeting, the application of accounting in household finances, and the impacts of fintech on their financial behaviors. Results: Career women effectively manage their finances through monthly budgets, reducing stress and achieving financial goals, but the convenience of fintech can increase wasteful expenditure. Novelty: This research contributes new insights into the intersection of career women's financial management, accounting practices, and fintech, addressing a critical gap in the literature. Implications: The study emphasizes the need for financial education for career women, emphasizing balanced practices to maximize fintech benefits and reduce impulsive spending, promoting financial stability and empowerment. Highlights: Budgeting aids career women in spending control and goal achievement. Fintech simplifies transactions, improving financial management efficiency. Ease of use may lead to impulsive spending behavior. Keywords: financial management, career women, fintech, budgeting, digital era

SNS화장품 광고에서 화장품구매행동, 소비성향, 외모관심도가 추천의도에 미치는 영향에 관한 연구 : 광고모델 매력성의 조절효과를 중심으로

The increasing use of social media is having a significant impact on online and offline purchasing behavior, as consumers share content they are interested in and exchange information. Businesses are responding to this shift by increasing their social media advertising, which has a positive impact on brand purchase behavior. This study aims to empirically investigate the influence of consumers' spending behavior and appearance interest on recommendation intention in cosmetics advertisements on SNS and the moderating effect of advertisement model attractiveness. For this study, an online survey was conducted among 568 consumers who have purchased cosmetics on SNS. SPSS 28.0 was used for statistical analysis, and factor analysis, reliability test, and multiple regression analysis were conducted. The results of this study were as follows First, the experience of purchasing cosmetics on SNS and the frequency of information acquisition were found to have a positive effect on recommendation intention. Second, spending behavioral attitudes such as sympathy and impulsivity were found to have a static effect on recommendation intent. Third, appearance orientation has a static effect on recommendation intention. Fourth, advertisement model attractiveness moderated the relationship between SNS cosmetics purchase frequency and YouTube cosmetics information acquisition frequency and recommendation intention, and advertisement model attractiveness moderated the relationship between impulsivity and appearance orientation and recommendation intention. The study found the propensity of splurge and agreeableness on spending behavioral suggests that consumers use social media to show off their social status and tend to imitate the behavior of others. In addition, the effect of appearance orientation on recommendation intention highlights the importance of appearance as a factor in consumer behavior. The moderating effect of advertisement model attractiveness suggests that it is important to consider the personality of the model to fit the cosmetics brand image when considering the influence of advertisement model attractiveness. This study aims to contribute to consumer behavior theory by deepening our understanding of the effectiveness of social media advertising and proposing an integrated model of recommendation intention formation. Future research should expand to a wider range of products to confirm the persistence of social media advertising effects. The results of this study can be used as a useful basis for companies to establish social media advertising strategies.

Mental Accounting Practices and Spending Behavior of Collegiate Students at National University Baliwag: An Assessment

This study assesses the influence of mental accounting practices on the spending behavior of college students at National University Baliwag. It aims to understand how gender and school affiliation influence these connections. The research employs a combination of applied, quantitative, explanatory, and descriptive methods, utilizing data collected through a three-sectioned questionnaire from a sample of 361 students. The findings revealed a high negative correlation between mental accounting practices and spending behavior, stating that students who utilize mental accounting tend to have controlled spending habits. Furthermore, it was noted that gender has no significant difference in mental accounting practices but has a difference in spending behavior. The School of Engineering, Architecture, and Technology (SEAT) showed the highest mental accounting practices, while the School of Tourism and Hospitality Management (STHM) had the highest spending behavior. While several studies have linked mental accounting practices in various shopping methods, this research contributes to the literature by applying the mental accounting theory within a university context in the Philippines. This study is important in understanding behavioral finance, providing guidance and practical implications for the beneficiaries of the study.

Ecological consciousness, moral self-identity and green conspicuous behavior: Moderating role of religiosity

Due to its substantial ecological imprint, the fashion industry is coming under closer examination in a time of increased environmental awareness. Therefore, the interplay of ecological awareness and sustainable consumption in the fashion industry is the focus of this empirical research. This study examines the mediating role of empowerment and self-transformation between moral self-identity, ecological consciousness consumer behavior (ECCB), and consumers' purchase behaviors, along with the moderating role of religiosity. Under the Value Belief Norm theory paradigm, the hypotheses were assessed after collecting data from 542 consumers in Pakistan. The results indicate that empowerment and self-transformation mediate the relationship between self-identity and ECCB with consumers' purchase behaviors. Also, the results provide strong support for religiosity as the boundary condition. The empirical results add to the body of research by illuminating the complex relationship between environmental consciousness and actual spending behaviors, particularly in the context of fashion.

Tullock contest with reference‐dependent preferences

AbstractWe study the Tullock contest model with loss aversion and endogenously formed reference points. In a contest with n possibly heterogeneous players and convex effort costs, we establish sufficient conditions for a unique Nash equilibrium in pure strategies. Subsequently, we analyze the impact of loss aversion on players' spending behavior, probability of winning, and rent dissipation.

Out-of-Pocket Expenditures for Health: A Case Study

Background of the Study: Health is a prime component in rural population who uses their muscle power for doing economic activities. Meanwhile according to the Economic Survey of India’s 2021 report, India was among the 10 worst performing countries in terms of prioritising health in government budgets, at both state and central levels. India was placed or ranked in 67th in the list of 189 countries in Out of Pocket Expenditure per capita in PPP (in $) for 2018. World Health Organisation report (March 2022) stated that high of Out-Of-Pocket Expenditure (OOPE) on health is impoverishing some 55 million Indians annually, with over 17 per cent households incurring catastrophic levels of health expenditures every year. The Economic Survey 2023 reported that the share of government expenditure in Total Health Expenditure (THE) has increased over time from 28.6% in financial year 2014 to 40.6% in Financial Year2019. However, OOPE is still higher at 48.2% of the total expenditure. Objectives: To explore the Out of Pocket Expenditure (OOPE) for health in India, Interstate and rural villages of Theni district, Tamil Nadu Methodology: Purposive non random sampling was used to reach the sample element. Sample elements or respondents were from rural Theni District. Sample size was 300. Data was collected using an interview schedule in the catchment area of Primary Health Centre, taluk hospital and district healthcare hospital. Interview was conducted in Tamil and then the interview output was transcribed and translated into English, followed by a descriptive analysis. Ordinary Least Square estimation was used to find the implications of individual income on pocket out expenditure for health. Findings of the Study: The secondary data from the website of World Health Organisation and from the reports of National Health Accounts reflects a difference in data information for every concerned period at least two to three per cent exist. The interstate data information for the period 2019 to 2020 revealed that the spending from government health care expenditure and out of pocket expenditure is not equal to total health care expenditure. Hence, the researcher made an attempt to explore the out of pocket expenditure among the rural population and their willingness to spend from their pocket. Furthermore, the impact of annual income and annual healthcare expenditure is examined by simple linear regression analysis, for to understand the role of income in shaping healthcare spending behaviour. The R Square value is very poor, and reflects the role of explanatory variable income is not impacting the out of pocket health care expenditure. The Keynesian theory of psychological law of consumption is invalid in out of pocket healthcare expenditure with respect to income of the respondents. 13 percentages of respondents were willing to do out of pocket expenditure for their health ailing. The 39.7percentages of respondents were disagreeing to do out of pocket expenditure for their health. Conclusion: Overall, this study emphasizes the importance of understanding out-of-pocket health expenditures is increasing in rural (feckless management of public healthcare) with attitude of unwilling to pay from their pocket because of existing zero priced healthcare system, which is available in their near locality. Policy makers needs to concentrate on enhancing the healthcare supply such as medical personals, drugs, lab facility, beds, and in general in all aspects for to cater the demand of rural inhabitants and protect them from pushing into impoverishment.

Machine Learning and Artificial Intelligence for a Sustainable Tourism: A Case Study on Saudi Arabia

This work conducts a rigorous examination of the economic influence of tourism in Saudi Arabia, with a particular focus on predicting tourist spending patterns and classifying spending behaviors during the COVID-19 pandemic period and its implications for sustainable development. Utilizing authentic datasets obtained from the Saudi Tourism Authority for the years 2015 to 2021, the research employs a variety of machine learning (ML) algorithms, including Decision Trees, Random Forests, K-Neighbors Classifiers, Gaussian Naive Bayes, and Support Vector Classifiers, all meticulously fine-tuned to optimize model performance. Additionally, the ARIMA model is expertly adjusted to forecast the economic landscape of tourism from 2022 to 2030, providing a robust predictive framework for future trends. The research framework is comprehensive, encompassing diligent data collection and purification, exploratory data analysis (EDA), and extensive calibration of ML algorithms through hyperparameter tuning. This thorough process tailors the predictive models to the unique dynamics of Saudi Arabia’s tourism industry, resulting in robust forecasts and insights. The findings reveal the growth trajectory of the tourism sector, highlighted by nearly 965,073 thousand tourist visits and 7,335,538 thousand overnights, with an aggregate tourist expenditure of SAR 2,246,491 million. These figures, coupled with an average expenditure of SAR 89,443 per trip and SAR 9198 per night, form a solid statistical basis for the employed predictive models. Furthermore, this research expands on how ML and AI innovations contribute to sustainable tourism practices, addressing key aspects such as resource management, economic resilience, and environmental stewardship. By integrating predictive analytics and AI-driven operational efficiencies, the study provides strategic insights for future planning and decision-making, aiming to support stakeholders in developing resilient and sustainable strategies for the tourism sector. This approach not only enhances the capacity for navigating economic complexities in a post-pandemic context, but also reinforces Saudi Arabia’s position as a premier tourism destination, with a strong emphasis on sustainability leading into 2030 and beyond.

Remitted euros are not equal: The complex spending behaviour of Kosovar households

AbstractThis article uses a mixed‐methods approach to evaluate how remittances impact household spending behaviour in Kosovo. Based on a nationally representative data set and using matching techniques, it shows that migration does not cause substantive changes in household spending. While remittances cover basic consumption needs, there are no impacts on budgetary allocations for business investments, health and education. Yet, qualitative research conducted in Kosovo's Opoja region, involving the analysis of 28 open‐ended interviews, unveils a complex remitting mechanism. While migrants send smaller but regular amounts of money to cover basic needs, earmarked transfers are allocated for housing investments and conspicuous consumption only. These earmarked transfers do not enter Kosovar households' budgets, as migrants exercise decision‐making authority over these funds. For policymakers, our findings suggest that standard survey questions fall short of capturing the complexity of the remitting mechanism. When promoting productive investments, it is the migrants who should be targeted as key decision‐makers.

How Is Financial Knowledge Related to Spending Behavior? Evidence From U.S. Stimulus Payments During the COVID-19 Pandemic

This study utilizes data from the 2021 National Financial Capability Study to explore the roles of both subjective and objective financial knowledge in shaping individuals’ financial decisions regarding the utilization of stimulus payments during the COVID-19 pandemic. Employing the probit model, the study explores how financial knowledge is related to stimulus fund utilization. Specifically, the findings reveal that individuals with higher levels of subjective and objective financial knowledge are less likely to use stimulus payments for immediate spending, such as purchases and bill payments, while being more likely to use these payments toward debt repayment, saving, stock market investment, and donation. Notably, subjective financial knowledge is found to play a greater role in decisions related to the utilization of stimulus funds compared with objective financial knowledge. Additionally, this study indicates that the potential influence of financial knowledge on stimulus fund utilization varies across gender, employment, and marital status. These insights provide implications for practitioners in family financial counseling and planning practices, enabling them to better comprehend and support their clients during periods of economic disruptions and stimulus initiatives.

Retirement satisfaction as a quantified outcome of superior financial literacy: An empirical investigation

The purpose of the study is to create a viable and customised retirement planning system with financial literacy as the driver to achieve retirement adequacy and retirement satisfaction, taking into account the increasing financial needs of retirees. Perception regarding retirement choices necessitates sufficient self-efficacy to implement retirement portfolio decisions. Despite transformation in the way retirement is looked at, planning for retirement has taken a backward stride as individuals concentrate on their present needs rather than a holistic approach to life. The study implemented an online self-administered questionnaire for 770 participants using convenience sampling from India’s two major IT hubs, Bangalore and Chennai. The data samples were analysed using Partial Least Squares Structural Equation Model (PLS-SEM). The study evidenced a strong association between superior financial literacy and retirement planning and identified five essential financial behaviours, such as savings attitude, borrowing pattern, investment decision, insurance allocation, and spending behaviour, that strongly influence individual retirement planning. These behaviours lay the foundation for retirement readiness, lowered debt anxiety, and greater risk-bearing capacity. The results further reveal that individual’s satisfaction levels are significantly influenced by retirement adequacy. Therefore, it is imperative to formulate a well-structured retirement plan to attain retirement adequacy and satisfaction.

The Impact of Inflation on Jewelry Consumers in Nepalgunj: An Exploratory Study

This study examines the effects of inflation on jewelry consumers in Nepalgunj, Nepal, using a descriptive research design. The research aims to understand how inflation affects purchasing power, identify coping strategies, assess the impact on demand, and explore mitigation measures. The findings reveal that 70% of respondents believe middle-class individuals are most affected by inflation, leading to reduced jewelry affordability. Additionally, 30% of respondents agree that people buy less jewelry nowadays, and 76% agree that customers opt for substitute products as gifts instead of jewelry. The study suggests that inflation significantly impacts the jewelry industry, reducing consumer purchasing power and altering spending behaviors. To navigate these challenges, businesses in the jewelry sector must adopt strategic measures, such as price adjustments, value emphasis, and efficient sourcing practices. The findings provide valuable insights for policymakers, economists, and businesses in the jewelry industry. The study's implications include the need for policymakers toconsider the impact of inflation on the jewelry industry and its consumers, for economists to develop models that better predict consumer behavior during inflation, and for businesses to adopt strategic measures to mitigate the effects of inflation. Overall, the study highlights the importance of understanding the effects of inflation on jewelry consumers and the need for stakeholders to take proactive measures to address these challenges.

Measuring Inflation During the Pandemic with the Benefit of Hindsight

AbstractThis study has adopted the actual household expenditure data from the national accounts to construct a true inflation rate (using the Fisher index) and found that the official inflation rate in the 33 OECD countries was an overestimate of true inflation for 23 and underestimate in 10 countries in the first wave of the COVID-19 pandemic. The result obtained for the countries where true inflation was higher than the official rate in this study matches the results obtained by Cavallo (Inflation with covid consumption baskets, 2020) and Reinsdorf (COVID-19 and the CPI: Is inflation underestimated?, 2020). However, a significant difference has been detected for the countries where the official inflation exceeds the true measure in this study. The core reason behind the discrepancies is in the use of appropriate expenditure weights. This suggests caution in using credit-card based expenditure data when spending behaviour has changed dramatically.

The role of digital payments in overspending behavior: a mental accounting perspective

PurposeThe paper examines how individuals can be susceptible to payment biases in the context of digital payment behavior by utilizing the concept of mental accounting. Furthermore, the paper investigates the moderating effects of Digital Financial Literacy (DFL) on the relationship between payment methods and spending behavior.Design/methodology/approachThe study employs a survey-based approach to collect data from 503 individuals who use digital payment methods, utilizing purposive sampling from Pakistan. The collected data is analyzed using Smart-PLS 4 software to assess the direct impact of payment methods on spending behavior and the moderating influence of DFL.FindingsThe research findings demonstrate that both digital and cash payments significantly affect spending behavior. However, digital payments have a more substantial impact on spending behavior compared to cash payments. The findings also show that DFL significantly positively moderates individual spending. The study validates the mental accounting perspective by evaluating the direct impact of payment methods on consumers' spending behavior.Practical implicationsThe findings have practical implications for policymakers, financial institutions, and educators. Policymakers can leverage the insights to design effective strategies that promote responsible spending behavior and enhance the adoption of digital payment methods. Financial institutions can design user-friendly platforms that cater to users' spending preferences, while educators can develop programs to enhance Digital Financial Literacy (DFL) among the public.Social implicationsThis study’s social implications lie in its potential to contribute to individuals' financial well-being by promoting responsible spending through digital payment methods. Enhanced financial literacy and informed spending decisions can lead to better financial management and ultimately contribute to societal financial stability.Originality/valueThe study enriches the understanding of mental accounting, shedding light on how overspending behavior can manifest through digital payment channels. In addition, this research practically provides valuable insights into enhancing the adoption and financial literacy of digital payments among the public.

Understanding Vulnerability to the Poverty Premium: An Analysis of Factors Influencing Use of High-Cost Credit Among Low-Income Individuals

Introduction & BackgroundAccess to affordable credit is essential for individuals living on low incomes to participate in society fully. However, due to their limited credit history and volatile incomes, many cannot access mainstream sources of credit, such as credit cards and personal loans. As a result, they often must rely on more expensive sources of credit such as payday loans, doorstep loans or rent-to-own loans. This leads to them paying more for credit, also referred to as the poverty premium. Incurring the poverty premium exacerbates the financial challenges faced by already vulnerable individuals and can lead to a cycle of financial distress. Identifying the behaviours and factors that lead to a need for high-cost credit can help in identifying individuals who are most vulnerable to incurring the poverty premium. Objectives & ApproachTo achieve this, we rely on anonymized Open Banking transaction data from 100,000 individuals provided by a UK-based social lender.Given the latent nature of vulnerability, we identify indicators of vulnerability to poverty premium which include frequency of overdraft use, previous debt problems, low financial resilience, and indebtedness. We use a copula-based approach to create an index of vulnerability to poverty premium. This is based on weighting the individual indicators using their Spearman rank correlation coefficient. We use a fixed effects model to identify the factors that contribute to this vulnerability, where the index of vulnerability is the dependent variable. Relevance to Digital FootprintsWe use a rich and granular dataset on individual financial transactions to address a key social issue. The findings from this study can inform policy and industry efforts to promote greater credit affordability for these vulnerable individuals. This is particularly important due to the renewed concerns regarding the increased use of high-cost credit by individuals living on low incomes due to COVID-19 and the increased cost of living. ResultsOur findings show that variables related to the financial profile of an individual are important driving factors of the vulnerability to poverty premium. These include the number of salary sources, frequency of salary receipt, benefit receipt and savings frequency. Other variables related to spending behaviour such as gambling, volatility in fixed expenses and high transaction counts all have positive relationships with this vulnerability. Conclusions & ImplicationsThis study is a first step towards examining the determinants of vulnerability to poverty premium by analyzing an Open Banking transaction data set. The innovative feature of this work is the creation of an index of vulnerability to poverty premiums based on various indicators of financial distress and high-cost credit use. Our findings on the relationships between the individual's financial profile and the vulnerability to poverty premium suggest that policymakers should consider targeting interventions for individuals with specific profiles to alleviate the need for high-cost credit. For example, programs to promote regular savings or financial education for gamblers and people with volatile spending behaviour can help assist these individuals manage their finances better.

Money you could touch: cash and psychological ownership

PurposeDespite evidence that cashless payment modes influence spending behavior, researchers have yet to explain the underlying mechanism. Cash serves as a store of value, and transactions involve the transference of ownership in circulation. This study aims to unpack why the physical and visceral nature of cash embodies psychological ownership and how the physicality of cash attenuates the awareness of spending, curtailing instinctive and unnecessary spending.Design/methodology/approachDrawing on data collected in 2013 in New Zealand, the authors conducted another study in the quite different context of China in September 2023, using identical semistructured discussion protocols. The data from 2013 involved five focus group sessions containing at least six participants, involving 31 adults who also completed an open-ended questionnaire immediately before the group discussion commenced. The data collection in 2023 used the same open-ended and semistructured discussion protocol used in 2013, resulting in 180 adult open-ended responses – a nonprobability criterion-based purposive sampling guided participant selection in the 2013 and 2023 studies.FindingsFindings reveal that psychological ownership does manifest in the app more than in the ownership of money itself. People felt happy, confident, safe and secure while using apps that stored their money. Physical attributes of cash result from sensory perceptions of handling, counting and touching cash and coins. A sense of psychological ownership heightens spending awareness and ramifies spending behavior. The research found sadness and guilt as negative emotions when parting with money.Originality/valueThis study offers empirical support to explain why psychological ownership of cash regulates spending and why the psychological processes that underlie “owned” money interrupt the spending with cash.

A Study on the Impact of Cruise Tourism Experience on Satisfaction, Revisit Behavior, and Consumer Spending Behavior

Abstract This study focuses on exploring the impact of cruise tourism experiences on travelers' satisfaction, revisit intentions, and consumer spending behavior. By distributing questionnaires to cruise travelers and collecting 372 valid samples, the study conducted a comprehensive analysis using structural equation modeling (SEM). The empirical results show that cruise tourism experiences play a crucial role in enhancing travelers' intrinsic and extrinsic satisfaction. These satisfaction factors further positively influence travelers' revisit behavior and directly increase their consumer spending, highlighting the critical role of cruise service quality in promoting tourism sustainability and enhancing economic benefits. Additionally, the study found that improvements in the quality of services provided by cruise operators, such as accommodation, dining, and entertainment, can significantly enhance travelers' overall satisfaction. This not only fosters customer loyalty but also positively influences customers' revisit behavior and consumer spending behavior. These findings provide empirical support for cruise operators in improving services and formulating market strategies. JEL classification numbers: Z30, Z32. Keywords: Cruise tourism experience, Satisfaction, Revisit behavior, Consumer spending behavior.