Consumption Choices Research Articles

E-waste Management Practices: A Case of Itahari Sub-Metropolitan City, Nepal

The fast deterioration of electronic gadgets is being caused by the highly competitive electronic market and the rising purchasing patterns of consumers. It can be difficult to handle electronics when their useful lives are ending and when they are replaced or thrown away for various reasons over time. This research aims to comprehend the viewpoint of electronics consumers regarding managing their electronic waste, with a particular focus on Itahari Sub-Metropolitan City's ward no. 05. The factors found in the literature were used to create questionnaires. The questions were created using various sources, including socioeconomic and demographic data, information on E-waste generation and disposal practices, consumer intentions toward E-waste management, and awareness levels. The study's findings demonstrated that while consumers were aware of the issues surrounding E-waste, they lacked a significant amount of knowledge regarding formal recycling centers and other strategies for managing waste. Additionally, it was seen that most respondents were either willing to sell their televisions and desktop computers to scrap traders or wanted to repair them. For instance, the majority of participants reported never receiving any E-waste management training, but many also claimed they would be prepared to pay the E-waste handling organization to participate in E-waste management programs and hence, Itahari Sub-Metropolitan is advised to undertake community-based initiatives to improve E-waste management programs.

Examining potential health gains arising from reduced risk consumption in South Africa via the PRIME model

ObjectivesNon-communicable diseases (NCDs) account for over 30% of disability-adjusted life years in South Africa. In this research, we offer an estimate of the potential reduction in NCD incidence that would arise from an improvement in diet, combined with a reduction in both tobacco and alcohol consumption.MethodsWe apply the PRIME model, which simulates the effect of risk reduction on NCD incidence. The model inputs baseline data related to the population, risky consumption behaviour and NCD incidence. The model allows for counterfactual scenarios altering the risky consumption behaviour to yield revised NCD incidence.ResultsWe find that reducing salt, tobacco and alcohol, along with improved fruit, vegetable and fiber consumption would yield a 10% reduction in NCDs from the 2018 baseline. NCD incidence reductions arise primarily from ischemic heart disease (49%), cerebrovascular diseases (33%) and bronchus and lung disease (11%).ConclusionSouth Africa’s NCD incidence is high because of relatively poor behavioural choices, despite plans and policies aimed at changing this. South Africa should increase their efforts to reach NCD goals. If the government is able to reduce harmful behaviour, with respect to a number of the underlying consumption choices, NCD incidence is expected to fall precipitously.

Activating the sustainable consumer:The role of customer involvement in corporate sustainability

AbstractTackling grand challenges and making sustainable development a reality through sustainable consumption crucially depends upon both companies’ activities as well as individuals’ consumption choices. In opinion polls, many consumers claim to favor sustainable products over conventional ones. However, a large gap remains between their stated purchasing intentions and actual decisions, posing a challenge for companies in predicting product demand and strategically managing their product portfolios. In this study, we develop a conceptual framework to demonstrate how companies can encourage sustainable consumption behavior among their customers by involving them in their corporate sustainability (CS) activities. We introduce psychological ownership as the underlying mechanism explaining how customer involvement in CS activities translates into changes in their consumption choices. We further argue that the link between customer involvement and psychological ownership depends on the type of a company’s CS—that is, whether CS is embedded in or peripheral to the company’s core business. The results from three experiments, including one field experiment conducted in collaboration with a fashion retailer and involving real customer purchase decisions, support our theorizing. The findings reveal the power of customer involvement as a marketing tool in promoting sustainable consumption.

Optimal Investment Consumption Choices under Mispricing and Habit Formation

Optimal Investment Consumption Choices under Mispricing and Habit Formation

Heart health champions: how to develop student nurses as role models for cardiovascular health

Abstract Background Nurses as health promotors are optimally placed to identify cardiovascular disease risk factors and discuss behaviour change strategies for modifiable risk factors, but most undergraduate curriculums lack detailed content regarding these topics. Unfortunately evidence indicates that student nurses often demonstrate risky behaviours such as smoking, physical inactivity, excessive alcohol consumption and poor nutritional choices. As nursing is a pressurised career with long shifts and often challenging emotional encounters, it can be easy to overlook personal health behaviours. Purpose Given that nursing students are our potential health promotors of the future, we aimed to enhance cardiovascular knowledge and behaviour change awareness in their undergraduate education by implementing a co-designed digital educational resource - ASMOSUS. It sought to embed knowledge and risk assessment of cardiovascular disease risk factors, while motivating and sustaining behaviour change within undergraduates, facilitating them to make healthier lifestyle choices themselves and act as role models for patients. We developed roles of ‘Heart Health Champions’ within university and clinical placements, which is novel for both clinical practice and Higher Education Institutes. Methods Any nursing student who had received the ASMOSUS digital educational resource in the first semester of their undergraduate program and had an interest in further knowledge acquisition and health promotion amongst their peers were invited to become a Heart Health Champion. Alongside the recruitment of Heart Health Champions the cohort received cardiovascular risk factor specific educational sessions on physical exercise, smoking and vaping cessation, nutrition and alcohol consumption. Results We recruited 9 Heart Health Champions from the cohort representing all fields of undergraduate nursing. These students have undertaken 30 hours of required participation, leading to a university recognised qualification- FutureReady on graduation. This included attending cardiac risk and prevention training with cardiac rehabilitation nurses. They have taken the initiative to plan activities such as a sponsored walk, a ‘dancercise' class and support for their peers in harnessing healthy lifestyle behaviours through role modelling and motivational interviewing techniques. Results demonstrate that these sessions and student led activities are well attended and positively evaluated, which shows that including cardiovascular prevention techniques in undergraduates is feasible and acceptable. Conclusion Heart Health Champions are a valuable asset and can promote modifiable risk factor change amongst their peers and may help to maintain a healthy lifestyle. Further Heart Health Champions will be recruited over the next undergraduate nursing cohorts with a planned study to explore their effectiveness.

Pathways to green personalisation: Reducing consumption through design

Humanity has reached the point where current consumer lifestyles are not sustainable, and this status quo must be disrupted if we are to slow down climate change. Personalisation is a technique which, amongst other purposes, uses machine learning algorithms and personal data harvesting to prompt people to engage in various financial and social activities that often encourage us to consume more. It creates wealth for businesses and brings satisfaction to customers. We rely on personalised messaging and allow Artificial Intelligence (AI) select information for our personal newsfeeds, contributing to the overall personalisation economy. Personalisation is most often deliberately designed to promote consumption, but that purpose is not preordained. Designers could repurpose personalisation processes to promote ‘greener’ consumption choices or even to reduce consumption all together. This concept paper coins a new term ‘green personalisation’ 1 and discusses pathways to inform new approaches to reduce consumption and the resulting environmental harm.

Pengaruh E-Commerce terhadap Minat Belanja Mahasiswa FEBI

The rapid growth of e-commerce has significantly transformed consumer behavior, particularly among university students. This study examines how e-commerce platforms affect the interest and shopping preferences of students of the Faculty of Economics and Islamic Business, UIN Sultan Maulana Hasanuddin Banten. By analyzing data from surveys conducted among students, the research identifies key factors that drive their engagement with online shopping. These factors include convenience, variety of products, competitive pricing, and the ease of comparing different products. The study also highlights the role of technological advancements, such as mobile applications and secure payment gateways, in enhancing the online shopping experience. Furthermore, it explores the psychological aspects, such as the excitement of online deals and the influence of social media advertising, on students' shopping habits. The findings suggest that e-commerce has not only increased the frequency of students' purchases but also diversified their buying patterns. However, the study also addresses potential challenges, such as the risk of overspending and the impact of impulsive buying. Overall, the research provides valuable insights into the evolving landscape of consumer behavior in the digital age, emphasizing the importance of e-commerce in shaping the shopping interests of the younger generation.

Is face and information availability important in green purchasing among young consumers?

With the growing awareness of environmental issues available across various media platforms, consumers, particularly the younger generation, are more conscious of their consumption and its impact on the environment. This trend can be observed in the surging demand for environmentally friendly and animal-test-free products on the market. However, despite the young consumer group’s critical role in the marketplace, existing research in this area remains limited, demanding further investigation. Recognising the significance of this trend, this study employs a two-stage partial least squares structural equation modelling-artificial neural network (PLS-SEM-ANN) approach to analyse the antecedents influencing green consumption among young Chinese consumers. This study proposes a conceptual research model that extends the norm activation model (NAM) by analysing 366 self-reported questionnaires. The first-stage PLS-SEM results reveal significant positive correlations between personal norms (PN), environmental knowledge (EK), information availability (IA), social norms (SN) and green consumption intention (GCI). However, face consciousness (FC) was found to have no significant effect on GCI. The second-stage ANN sensitivity analysis shows that PN emerged as the most influential factor on GCI, followed by IA, SN, and EK. This ranking diverges from the PLS-SEM results, suggesting potential hidden nonlinear relationships between IA, SN, EK and GCI. Among the significant predictors of PN, the ascription of responsibility (AR) ranks first, followed by an awareness of consequence (AC) and SN. With its unique two-stage PLS-SEM-ANN approach to green consumption among young consumers, this study offers valuable insights for both marketers and researchers. Marketers gain a new tool to predict GCI more effectively, while researchers can explore the intricate interplay of factors shaping sustainable consumption choices. Methodologically, the present study is one of the few that applies extended NAM using two-stage PLS-SEM-ANN in the context of green consumption.

Environmentality in (food) sustainability education: an analysis of a pedagogic intervention in Italy

ABSTRACT This article applies a governmentality perspective to approach education for sustainability. First, we outline governmentality through a Foucauldian lens and consider the emergence of environmentality in Italian education. Next, we analyse education for sustainability teaching and learning dynamics. Focusing on a pedagogic intervention carried out in a hotel-management vocational high school, we explore how school programming, classroom interactions, teachers, and environmental experts conceptualise food sustainability, influencing the pupils' view. Precisely, by analysing the ‘From farm to fork' programme – the empirical case study we have investigated – three pedagogic processes are detected: ‘framing', ‘politicising', and ‘normalising'. Our argument is that they work in tandem to problematise the socio-ecological implications of eating consumption choices and to guide students towards the neoliberal solution of sustainability. Implications of this research discuss how neoliberalism influences pedagogic activities, especially as it relates to establishing environmentally responsible action and shaping the ethics of the sustainable citizen.

Penerapan Algoritma Apriori Dalam Analisis Keranjang Belanja Retail Di Wilayah Jawa Barat

Market basket analysis is an important technique in data mining used to understand consumer purchasing patterns. This research uses the Apriori algorithm to identify relationships between products in the shopping basket, aiming to improve sales and marketing strategies in the retail industry. The focus of this study is on retail transaction data from West Java Province, which has a large and diverse population, reflecting complex consumer purchasing patterns. The research identifies several key issues: limited understanding of consumer behavior, unoptimized business strategy opportunities, and challenges in managing large transaction data. As a solution, the application of the Apriori algorithm can help find frequent consumer purchasing patterns and design more effective marketing strategies. The results show that market basket analysis using the Apriori algorithm is effective in understanding consumer purchasing patterns in the retail industry. This algorithm allows companies to discover itemsets that frequently appear together in transactions, which can be used to design more effective marketing and sales strategies.

Estimating Discount Functions with Consumption Choices over the Lifecycle

Abstract We estimate β-δ time preferences and relative risk aversion (RRA) using a lifecycle model including stochastic income, liquid and illiquid assets, credit cards, dependents, Social Security, mortality, and bequests. Preference parameters are identified by cross-tabulating four lifecycle age intervals and four balance sheet moments: the share of households carrying (ie, revolving) credit card debt, average carried credit card debt, average net wealth among households carrying credit card debt, and average net wealth among households not carrying credit card debt. The 16 moments are approximately matched by (MSM) parameter estimates β=0.53, δ=0.99, and RRA = 1.9.

Wealth shocks and portfolio choice

We use new euro area representative data from the Consumer Expectations Survey (CES) to elicit household-specific propensities to invest and consume out of positive wealth shocks. Using a randomized assignment of hypothetical lottery gains ranging from €5,000 to €50,000 and a realistic menu of consumption, saving and asset choices, we estimate the causal effect of wealth shocks on risky asset ownership and conditional asset shares. Wealth shocks have a positive effect on stockholding (between 8.4 and 12.8 percentage points increase in participation for the largest wealth shock). The majority of households do not participate in the stock market, even after a large increase in wealth. The conditional asset share invested in risky assets is constant for wealth shocks up to €20,000, and edges up slightly (by at most 2 %) for larger prizes. Our evidence is consistent with constant relative risk aversion for the majority of risky asset investors, while we also find important heterogeneity in the level of risk aversion across individuals.

Analysis of Consumer Purchase Patterns Using Apriori Algorithm at Ryo Jaya Buah Store

Analysis of Consumer Purchase Patterns Using Apriori Algorithm at Ryo Jaya Buah Store

Feelings and alcohol consumption

Consumption choices depend on the feelings experienced in the period preceding a consumer's decisions. We confirm this hypothesis using a large sample of Italian consumers collected by ISTAT (the Italian National Statistics Institute) as part of the multi-purpose survey “Indagine multiscopo sulle famiglie: Aspetti della vita quotidiana” (n = 114,052). Specifically, positive feelings are associated with wine and beer consumption, while negative feelings relate to spirits consumption. The latter pattern is common among men and women, whereas the former is only applicable to male consumers. Additionally, older consumers drink more following a period of positive feelings, whereas younger consumers drink less. Our two-level modelling strategy confirms the mediating role of personal characteristics in explaining the relation between feelings and alcohol consumption.

Exploring the influence of e-marketing on rural customer buying patterns: A case study of Kashmir valley

Exploring the influence of e-marketing on rural customer buying patterns: A case study of Kashmir valley

Association Rule Mining To Enhance Sata Bottle Sales

Sales of sata bottles are growing and increasing, However, the results of these sales transactions have not been maximally utilized by shop owners. In fact, by using data mining techniques, the collection of data can generate new information. Association rule mining can find interaction patterns between one or more items in a very large data set. This algorithm is widely used in transaction data for purchasing product items at the same time by customers. research objectives to improve sales strategy, by collecting sales patterns that help related parties make sales strategy decisions, recommend products to customers, and maintain product availability. The research method using apriori algorithm data mining system that aims to determine consumer purchasing patterns. The association rule obtained results in 1 product that is often purchased simultaneously, namely Buy Rabbit Bottle, 420ml Clear Bottle, Buy Rabbit Bottle, Glass Straw, and Buy Rabbit Bottle, Nice Glass with a support value of 10% and a confidence of 80% in three frequent itemset and Rabbit Bottle, 420ml Clear Bottle, Rabbit Bottle, Glass Straw, and Nice Glass, 420ml Clear Bottle with a support value of 15% and a confidence of 83% in two frequent itemset.

IMPACT ON CYBER SHOPPING DURING COVID-19 PANDEMIC

In the pandemic situation around the world caused by COVID-19, cyber shopping plays a crucial role in a customer’s life. Cyber shopping is developing and growing due to the increasing usage of technology such as smartphones and the internet. Cyber shopping allows the customers to stay at home and make purchases. It is vital as social distancing is not always maintained when one leaves their house to purchase goods. The objective of this paper is to analyze the impact COVID-19 has on cyber shopping purchases. It also includes recognizing the factors that have influenced the buying patterns during COVID-19. For this research, data collection is from secondary data. In this research, the data collection method is multiple sources. The study conveys that cyber shopping is growing due to COVID-19. The majority of the customers used cyber shopping to purchase clothes and electronics. Customers are giving priority to safety. The concern that the customers have is sharing their personal information on cyber websites. Supply chain management during COVID-19 lockdowns faced issues. Availability of raw material and transportation delays were the crucial cause of issues in supply chain management during the COVID-19 pandemic. During December 2021, Amazon had the highest number of traffic when compared with the previous year.

Neuromarketing readiness in Malaysia: Where are we now?

In the race to forecast consumer behaviours and purchase patterns, a culmination of new ideas, theories, and research is brought forth and used. One such contemporary study on consumer behaviour is the subject of neuromarketing. An underlying theme among several key concepts in defining neuromarketing is the ability to measure consumers’ brain activities; it aims to understand the reasoning and reactions toward specific offerings. Although the field of study has garnered worldwide interest, the subject of neuromarketing is only starting to gain traction in Malaysia, with only a few existing literatures observed. This study plans to assess the readiness of companies in Malaysia to implement neuromarketing as part of their overall strategic marketing plan, as well as the comfort level of companies in deploying neuromarketing to increase the effectiveness of the companies’ performance. By applying mixed-method research, several small to medium-sized enterprises (SMEs) would be selected to explore and subsequently examine their comprehension, readiness, and implementation of neuromarketing.

Development and Management of E-Commerce Information Systems Using Edge Computing and Neural Networks

E-commerce refers to implementing e-commerce on mobile devices, cell phones, and mobile Internet connections. The fast advancement of mobile electronic gadgets and mobile Internet connections has facilitated the emergence of this new e-commerce market. The e-commerce systems contain several concealed client behavior data and forthcoming growth patterns. Data mining technologies extract valuable data and facilitate the growth of e-commerce. This article focuses on studying mobile e-commerce systems within the framework of edge computing, specifically in the setting of industrial clusters. This study examines the importance and benefits of data mining techniques in implementing e-commerce management platforms using neural networks. It also evaluates the corresponding methods of data mining and predicts purchasing trends. The study has used the benefits of grouping and back propagation neural network approaches in data analytics to categorize goods details, buying tastes, and related data. The advantage of neural networks in processing nonlinear patterns is employed to forecast forthcoming buying power. The findings demonstrate that data analytical methods and neural networks exhibit higher precision in predicting the buying pattern. The correlating factor between actual and projected usage information was 0.98, with the highest relative average inaccuracy of 2.4%. Data mining technologies effectively extract previously unrecognized relevant data and anticipated buying patterns in e-commerce platforms. Neural networks have a solid ability to predict future consumption capacity and consumption behaviors accurately.

The moderating role of food involvement: An application of the theory of planned behaviour model in reducing red meat consumption

Reducing red meat intake is crucial for both planetary sustainability and human health. However, various psychosocial barriers impede this dietary shift, necessitating the application of psychological models such as the Theory of Planned behaviours (TPB) to predict individuals’ inclination to reduce red meat consumption. Despite TPB’s widespread use, there is a need for a more refined model addressing emotional variables. This study aims to assess TPB’s effectiveness in understanding intentions and behaviours regarding red meat reduction, while investigating food involvement’s role as a moderator between intention and behaviours. Data were collected through two questionnaires (n = 963, Time 1; n = 541, Time 2) filled out by a representative sample of the Italian population. Using descriptive statistics and structural equation models, findings reveal that attitudes and subjective norms explain 22.2 % of the variance in intentions to reduce red meat consumption. Additionally, perceived behavioural control and intention account for 39.7 % of the variance in self-reported meat consumption behaviours six months later. Moreover, high levels of food involvement hinder the translation of intention into behaviour, highlighting its moderating effect. These results emphasize the necessity of reshaping red meat reduction strategies and promoting alternative consumption choices, fostering habitual practices linked to positive emotions. It is crucial for reducing red meat consumption that this behaviour becomes a cultural symbol of change, identifying individuals as “new consumers” within a society adapting to environmental and health challenges. By integrating emotional factors into behavioural models, interventions can better address barriers and promote sustainable dietary habits.