Consumption Choices Research Articles

Value destruction at Marvel, and how to manage customer alienation risk

PurposeThe purpose of the paper is to address customer alienation risk in the context of Marvel's recent (as of June 2023) under-performance and its contribution to Disney's stock's 50 percent-plus decline.Design/methodology/approachResearch followed recent developments at Disney/Marvel, as well as the Bud Light customer alienation, and reconciled those developments to core brand and strategic risk management resources to derive practical suggestions to mitigate customer alienation risk across industries.FindingsMarvel’s experience offers lessons that have relevance across industries inasmuch as a super hero paradigm is effectively a brand. The stronger the bond between customers and a brand, the more customers will maintain or extend their buying patterns over time. And the more customers personally identify with a brand, the greater the likelihood a customer alienation will occur if a firm disrespects that bond. Four practical suggestions are presented that will help to ensure the integrity of brands.Originality/valueWhile the under-performance of Disney/Marvel has been (and is) covered in the press, this is the first paper that we are aware of that links that under-performance to customer alienation risk.

Changes in Food and Beverage Purchases Associated With the Coronavirus Disease Pandemic in Mexico

BackgroundPublic policies to contain the spread of coronavirus disease in Mexico could have had an effect on food purchase patterns. ObjectiveThe objective of the study was to assess changes in the quantity of food and beverages purchased and proportion spent on food consumed away from home during the coronavirus disease pandemic in Mexican households. DesignThis study is a secondary analysis of cross-sectional data from the National Household Income and Expenditure Survey 2014-2020. Participants/settingThe study included 234,631 households with information on food and beverages purchases from 2014 to 2020. Main outcome measuresFood and beverage purchases were classified into six categories: basic, nonbasic energy-dense foods, prepared food for consumption at home, water, milk, and sugar-sweetened beverages. In the National Household Income and Expenditure Survey 2014-2020, expenditures on food and beverages consumed away from home are not classified into any specific items but represents more than 10% of food and beverage expenditures; therefore, the analyses included the proportion of food and beverage expenditures spent on food consumed away from home. Statistical analyses performedA two-part model was used to evaluate changes in the quantity of food purchased and the proportion spent away from home during the coronavirus disease pandemic in 2020 compared with 2018, adjusting for socio-demographic variables, gross domestic product and previous survey rounds. Results are presented at the national level, by income quintile and by place of residence. ResultsPurchases of basic food increased by 17 g/capita/day at the national level and 22.4 g/capita/day in urban areas (P < 0.001). Purchases of nonbasic energy-dense foods decreased both at the national level (–4.2 g/capita/day; P < 0.001) and by place of residence (–4.8 g/capita/day; P < 0.001 in urban areas and –2.5 g/capita/day; P = 0.001 in rural settings). Purchases of prepared food increased 16 g/capita/day (P < 0.001). In rural areas, purchases of sugar-sweetened beverages increased 7.2 mL/per capita/day (P < 0.001). For the lowest income quintile purchases of processed meat increased 2.4 g/capita/day (P < 0.001). The proportion spent on food consumed away from home decreased by –44.9% (P < 0.001). ConclusionsResults of this study show that during the coronavirus disease lockdown there was an increase in basic and prepared food purchases, whereas purchases of nonbasic energy-dense foods and the proportion spent on food consumed away from home decreased. However, findings showed an increase in sugar-sweetened beverages purchases among rural dwellers and an increase in purchases of processed meat among the lowest income quintile. Various factors such as income reductions, unemployment, mobility restrictions, or increases in prices may have led the observed changes. Future research should be conducted to analyze these potential pathways.

Effects of nutritional profile system and front labeling in food selection during purchases: a systematic review

Introduction. Nutritional profiling systems (NPS) are mainly used in front-end labeling policies in order to make the purchase and consumption choice conscious and healthy. Objetive. This study systematically reviewed evidence from interventions on the effect of NPS in the front-of- package on food purchases. Materials and methods. A bibliographic search was carried out in electronic sources from Medline, Elsevier, Scielo and Lilacs, of experimental studies and intervention between 2012 and 2022. A total of 14 articles were included in the review. They were analyzed according to the intervention modality used: 4 studies analyzed the effect of NPS in a real purchase situation and 10 evaluated purchase perception/intention. Results. According to the modality of intervention, the 6 studies that analyzed the NPS-warning system, all recorded healthier purchases compared to the control groups. While for the NPS-NutriScore, Health Star Rating and Multiple Traffic Lights were effective in the decision to purchase healthier foods, in 5 of 7 studies for the first NPS, in 4 of 7 for the second and in 4 of 8 for the third, compared with control groups. Conclusions. Findings of this study suggest that NPSs may be effective for healthy purchase choices, even so it is necessary to strengthen the system and policies with nutritional food education campaigns.

Integrating discoverability and prominence in video-on-demand consumption choices. A qualitative user study in Belgium

As video-on-demand services have taken a central position in audiovisual distribution in European markets, over-the-top viewing has become increasingly popular. This shift has heavily impacted consumption patterns and exposure diversity, as they are reshaped by non-linear distribution and technological affordances. This article aims to integrate debates on discoverability and prominence within wider research on video-on-demand consumption. It does so by widening the existing focus on the strategies deployed by video-on-demand services to capture users’ contexts and actions in the consumption decision-making process. The framework is based on exploratory qualitative research conducted in Belgium through a diary study and in-depth interviews and can contribute to future audience research on video-on-demand consumption choices. We find that users discover and choose audiovisual content to consume on demand through a combination of formal and informal factors. These are grouped into four thematic categories, namely technological affordances, perceived offering, external ‘nudges’, and process.

Gratitude as a systems-wide values-based approach to enhance sustainable consumption choices

What if the best approach to solve climate change were to emphasize an emotion felt by the majority of the population? Robin Wall Kimmerer’s Braiding Sweetgrass presents gratitude as a powerful emotion. This article is a deep theoretical exploration of gratitude, largely informed by Indigenous oral histories as presented by Kimmerer. The analysis shows gratitude as having the potential to serve as an emotional (rather than logical) catalyst for change in human consumption behaviours. Also explored is how gratitude can form a cyclical system interwoven with care, gifts, and reciprocity. Environmental activists have been seeking to enact change, largely through a wide-range of education-scoped efforts. Yet change doesn’t happen. This article argues that Indigenous wisdom on the practice and experience of gratitude offers a profoundly more satisfying approach to human relationships; both with nature and other humans. Ultimately gratitude, when more deeply experienced, seems capable of inspiring new programs of actions, education, and efforts to affect highly meaningful and engaging societal transformation towards greater ecological responsibility.

FOOD MENU ARRANGEMENT RECOMMENDATIONS USING TRANSACTION HISTORY DATA USING THE APRIORI METHOD (CASE STUDY: BEBEK PONDOK GALIH)

REKOMENDASI PENATAAN MENU MAKANAN MENGGUNAKAN DATA HISTORI TRANSAKSI DENGAN METODE APRIORI (STUDI KASUS: BEBEK PONDOK GALIH)The food business goes hand in hand with the development of information technology. Process efficiency must be improved to increase sales transactions and achieve consistent profits. Bebek Pondok Galih has historical data on sales transactions from year to year, with this data being useful if management can analyze consumer buying patterns so they get information on what menus are frequently ordered and the relationship between one menu and another. Based on these problems, a data analysis process is needed to form a menu arrangement recommendation by utilizing data mining using the Apriori algorithm. The a priori algorithm is a data mining method that can produce association rules. Based on its application in this study with a minimum support value of 30% and a minimum confidence level of 80%, the final rule is that if consumers purchase 600 ml of roasted duck and aqua, they will also purchase a portion of rice. so that the three menus can be made into one menu package.

Building relationships back into the food system: addressing food insecurity and food well-being

IntroductionFailures of the current food system sit at the core of the multitude of crises by being the root framework for both consumption choices and food production. Low-income households are disproportionately affected by these failures, impacting their food security and access to healthy and sustainable foods. Community-supported agriculture (CSA) is a bottom-up response towards an agri-food system transformation by providing an alternative food system based on agroecologically grown food that is sold locally and rooted in social values. Alongside other food citizenship movements and alternative food networks (AFN), CSAs are driven by the vision to develop a democratic, socially and economically just, and environmentally sustainable food system. Yet, low-income households are underrepresented in the CSA community.MethodOur paper presents findings from a co-produced intervention between the research team, four CSA farms based in Wales, United Kingdom and two food aid partners that sought to identify ways to improve the accessibility of CSA memberships for food-insecure households. Thirty-eight households received a weekly veg bag for a period of 2–4 months. We interviewed 16 household members at the project start and end of the harvest season. Building on the food well-being framework, we investigate impacts of a CSA membership on food-insecure households.ResultsWe found that CSA membership holistically improves food well-being, through strengthening producer-consumer relationships, increasing availability of healthy foods, helping people to care for their own and their families well-being, and building place-based food capability and literacy.DiscussionThis paper supports wider narratives that call for systematically prioritizing interventions that promote overall food well-being, which can lead to sustainable and just food systems with positive outcomes for financially excluded, food insecure households in localized AFNs.

Water Use in Australian Irrigated Agriculture—Sentiments of Twitter Users

The objective of this research was to examine consumer perceptions of water use in key Australian irrigated agriculture industries. Twitter data (‘Tweets’) from 2018 to 2022 related to water use/water footprints by/of the cotton, rice, and dairy industries were analyzed. The results revealed a higher prevalence of negative sentiments towards water use in Australian irrigated dairy, cotton, and rice industries compared to positive sentiments. The cotton industry received the most criticism. Our analysis showed that although the term “water footprint” was not widely used, the volume of water required for the production of irrigated cotton, dairy, and rice, or products derived from these commodities, is being circulated in tweets. However, the study also highlighted the presence of highly variable, incorrect, or outdated water footprint data in these tweets, indicating the unreliability of Twitter as an information source for consumers seeking to make sustainable consumption choices. This research offers valuable insights into consumer sentiments, benefiting stakeholders and policymakers in addressing public concerns and misinformation in the Australian irrigated agriculture sector.

Ethical consumerism, human rights, and Global Health Impact.

In this paper, I raise some doubts about Nicole Hassoun's account of the obligations of states, pharmaceutical firms, and consumers with regard to global health, presented in Global Health Impact. I argue that it is not necessarily the case, as Hassoun claims, that if states are just, and therefore satisfy all of their obligations, then consumers will not have strong moral reasons, and perhaps obligations, to make consumption choices that are informed by principles and requirements of justice. This is because there may be justice-based limits on what states can permissibly and feasibly do both to promote access to existing drugs for all of those who need them, and to promote research and development for new drugs that could treat diseases that primarily affect the global poor. One important upshot of my argument is that there can be reasons for organizations like the Global Health Impact Organization to exist, and to do the kind of work that Hassoun argues is potentially valuable in our deeply unjust world, even in much less unjust worlds in which states and firms largely, or even entirely, comply with their obligations.

IMPLEMENTASI ALGORITMA APRIORI DALAM MENENTUKAN POLA PEMBELI CUSTOMER

CV. Syahfira Bakery and Cake is a business engaged in the production of cakes, pastries and bread. The more a business develops, the transactions that occur daily also increase. However, sometimes the sales transaction data is not fully utilized properly by administrative staff and company owners. In fact, if it is processed and used by administrative staff and supervised by business owners, then sales data will have a major influence on product sales in the future. Data processing can be done using data mining techniques, these data sets can produce new information, one of which is customer purchasing patterns. Syahfira Bakery and Cake is a cake, sponge and bread shop that has not fully utilized data for determining sales business strategies. With these problems, it is necessary to use transaction data to be processed with the Apriori algorithm so that it can provide new knowledge that can be utilized by shop owners. Based on the research that has been done, from the 20 processed transaction data, results are obtained that meet a minimum support of 30% and a minimum confidence of 70% and one rule is obtained, namely if a customer buys chocolate jam products, he will buy plain bread

Integrated perspective of eco-innovation, green branding, and sustainable product: a case of an emerging economy

Climate complexities and environmental problems not only brought changes in organizational practices but also changed the consumer purchasing pattern. Consumers nowadays have become more cautious regarding the consumption pattern of firms due to ecological footprints. This increased awareness influences their buying decisions pattern which leads to the increased demand of sustainable products. Eco-innovation, in this regard, appears to be an effective tool that helps firms to incorporate ecological constraints into business practices in order to develop green branding which ultimately leads to green loyalty. Drawing on literature from existing literature, the study developed a complex framework and established the plausible relationship among outlined constructs. By utilizing PLS methodology, measurement and structural models were assessed. Results echo that eco-innovation and green branding lead to sustainable product. Moreover, evidence also indicate that eco-innovation, and sustainability positively influence green loyalty. Based on the evidence, study proposed some implications which may be helpful for policy makers to maintain the sustainability of a firm.

Market-Based Analysis: Apriori approach to analyze purchase patterns

In this paper, a data mining approach has been developed to analyze customer behavioral patterns and to get a further idea of the scale of the products purchased. Using the approach we found the best and least performing products, the average number of the products that the customer is interested in buying, And using the apriori algorithm we can generate the frequent items which can be bought together which will help us in suggesting products for the customer to buy. Each pattern is supported by the support and confidence generated using the apriori algorithm.

Analisis dan Implementasi Market Basket Analysis (MBA) Menggunakan Algoritma Apriori dengan Dukungan Visualisasi Data

Culture Coffee MSME is one of the MSMEs engaged in the culinary field and is experiencing business competition. A marketing strategy is needed with the right decision-making process so that the business can survive and excel. UMKM Culture Coffee uses a point of sales application to accommodate the transaction process and record transactions. Historical customer data can be processed into a basis for decision making for marketing strategies that effectively increase sales. However, the transaction data has not been used optimally. There is a need to analyze historical customer data that can generate information to form marketing strategies. Market Basket Analysis (MBA) is one of the methods in data mining used in knowing products that tend to be purchased together by customers known as Association Rule. Association rules produce products in the form of packages or bundling which are used as marketing strategies. The marketing strategy obtained is supported by data visualization which contains information from the data. Apriori algorithm is used to generate association rules. The result of this research is an association rule on the historical data of MSME Culture Coffee customer purchases. Based on these rules, recommendations for selling menu packages to customers can be given. The purpose of this research is to find customer purchasing patterns which are used as the basis for decision making in determining menu sales. The results showed 2 product packages, namely, nuggets and french fries with sausages and french fries with a support and confidence value of 12.5% and 37.6% with 10.8% and 29% respectively. The results of this study can be used as a basis for the sales and marketing strategy of Culture Coffee MSMEs to increase business revenue.

Effect of reliability and memory on fractional inventory model incorporating promotional effort on demand

This paper presents a study of inventory replenishment strategy for efficiently managing sales of a deteriorating item in a retail store. The study addresses pertinent effect on sales pattern due to promotional initiatives. The memory effect generated in the consumers’ mind due to various factors like branding and the stock visibility to customers is incorporated in our model by formulating it as a Caputo–Fabrizio fractional differential equation. Even, in practice, consumers’ purchase patterns are noticed to get influenced by the reliability of product, the same is modelled through demand rate formulation. Influence of both these factors is incorporated into the proposed formulation by representing them as model parameters. The study aims at determining the optimal replenishment quantity and its reordering time for the addressed item in terms of said factors estimated as parameters. Results of the study are analyzed through the data set obtained from a retail store. The analysis of model-parameters infers some managerial insights which match the reality of sales patterns. Our study provides a decision support framework for determining replenishment quantities along with an estimate of replenishment time in connection with promotional initiatives and reliability of the product for achieving minimal total cost incurred while keeping the selling price of the product as fixed.

Application of Market Basket Analysis on Beauty Clinic to Increasing Customer’s Buying Decision

Beauty care and the need for cosmetics have become the lifestyle of modern women, especially in big cities. Public awareness to look beautiful makes modern women competing to take care of themselves to be more beautiful. The body care industry in Indonesia continues to grow. The growth has reached 6% and is predicted to continue to grow along with the high concern of Indonesian women in caring for their skin. To win the competition, companies need to know the market and consumer situation. One strategy that can be applied by the company is to use a promotional or advertising strategy. This research was conducted at the Ariana Audy beauty clinic in 2022 with the aim of identifying customer buying patterns which will then be used as reference material in the development of promotional menus for products and services offered by the beauty clinic. The approach used to design components on the promotional menu is Market Basket Analysis by applying the fp-growth algorithm using rapid miner software. Market basket analysis is focused on finding relationships between products based on customer purchases. The market basket analysis conducted resulted in 5 association rules that define consumer purchasing patterns for products and services provided by the Ariana Audy clinic. Through the 5 association rules formed, 3 promotional menus were produced, namely menu 1 consisting of baby skin crystal and oxy blue cream, menu 2 consisting of brightening cream products and sunscreen brightening, and menu 3 consisting of oxy jet peel and photodynamic therapy.

인플루언서 특성이 구매의도에 미치는 영향

The rapid development and popularity of online media technology, live commerce platforms have emerged and are rapidly developing. Live commerce has become not only a simple form of entertainment, but also an important means for consumers to obtain information and to communicate. Nowadays, the e-commerce live broadcast jointly created by live broadcast and e-commerce has created a lot of attention. Especially with the rapid development of self-media, there are many influencers in the live commerce. These influencers sharing and disseminating product infonnation will have an impact on the consumer's choice, and then influence the consumer's purchase intention. This dissertation focuses on the influence of influencers on consumers' consumption choices of goods in live commerce. Therefore, this study clarifies the concept of influencer and consumers' purchase intention by sorting out the prior studies on influencers and their four characteristics namely professionalism, credibility, attractiveness and interactivity. Furthermore, this study introduces two mediating variables, flow and perceived value, and constructs a corresponding research model. Samples were collected by means of questionnaires and empirical analysis was conducted using SPSS 23.0 and Smart PLS 4.0(Structural Equation Package) to verify the hypotheses. The following conclusions are drawn. First, professionalism has no effect on flow thus, H1-1 is rejected; attractiveness has no effect on flow thus, H1-3 is also rejected. HI is partially adopted. Second, professionalism has no effect on perceived value thus, H2-1 is rejected. H2 is partially adopted. Third, flow positively influences purchase intention thus, H3 is adopted. Fourth, perceived value positively influences purchase intention thus, H4 is adopted.

Weight-based and Digital Payment Process Flow Design to Decrease Quarry Sand Sales Fraudulence Risk

Databases have risen to the level of being one of the most important corporate assets. The availability of data in a company is required to make the right profit decision. In running a business aiming to achieve high profitability, companies must recognize profitable items by making decisions that require knowledge of the supply chain, knowledge of past, present, and future buying patterns, and costs derived from data obtained from many different systems. In this study, a company running a quarry sand mining business is experiencing disproportions of the resource availability of quarry sands, operating expense, and profit. It leads to suspicion of fraudulence risk during the operations and transaction of the product. This study aims to minimize the fraudulence risk of quarry sand sales by using data re-verification and analytical techniques. The study implemented a process analysis and root-cause method using process flowcharting and fishbone diagram tools. The root causes of this issue happen during the initial data input process caused by three main factors namely machinery or equipment, people, and systems. The newly designed system utilizes a digital weighing scaling system for trucks in recording the initial data and deposit payment system based on the accurate truck final weight.

Motivations for Peer-to-Peer Accommodation: Exploring Sustainable Choices in Collaborative Consumption

This research aims to contribute to the growing body of knowledge of Collaborative Consumption (CC) by exploring the motivations that influence the use of Peer-to-Peer (P2P) accommodation platforms from the demand side. There has been a significant increase in interest in sustainable choices regarding P2P accommodation in recent years. To address this gap and contribute to the collaborative consumption and P2P accommodation theory, a quantitative study was conducted through a survey yielding 235 responses from both users and non-users of P2P platforms. The findings of this study suggest that P2P accommodation platform usage is influenced by multiple factors, including sustainability, belonging, economic benefits, and convenience. Interestingly, the study also found that individuals with higher levels of academic qualifications are more likely to adopt this mode of consumption. Moreover, the study is the first of its kind to quantitatively address this topic. By understanding the motivations of P2P platform users, policymakers and practitioners can develop targeted strategies to promote sustainable choices in this sector. Overall, this study provides a useful framework for future research on collaborative consumption and sustainable P2P accommodation.

A Study on Consumer Buying Pattern Towards Amul Milk

A Study on Consumer Buying Pattern Towards Amul Milk

The impact of digital influencers on product/service purchase decision making—An exploratory case study of Portuguese people

AbstractThe growing use of technology and social media has resulted in the emergence of digital influencers, a new profession capable of changing the mentalities and behaviours of those who follow them. This study arises to better understand the potential impact digital influencers might have on the Portuguese population's purchase behaviour and patterns, and for this purpose, seven hypotheses were formulated. An online questionnaire was conducted to respond to these theoretical assumptions and collected data from 175 respondents. A total of 129 valid answers were considered. It was possible to conclude that purchase intention does not necessarily translate into a purchase action. It was also concluded that the relationship between social network use and the purchase of products/services recommended by influencers is only statistically significant for Instagram. Furthermore, the individuals' generation is not statistically significant / linked with purchasing a product/service recommended by influencers. Yet further, a small percentage of respondents have also identified themselves as impulsive shoppers and perceived Instagram as their favourite social network. With the results of this study, it is also possible to state that the influencer's opinion was classified as the last factor considered in the purchase decision process. Additionally, there is a weak negative association between purchasing a product/service recommended by influencers with sponsorship disclosure and remunerated partnership, which decreases credibility and discourages purchasing, in Portugal, a feminine culture which dislikes materialism.