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The purpose of the study is to propose a normative approach for market segmentation, profile and monitoring using computing and information technology to analyze User-Generated Content (UGC).

The specific steps include performing a structural analysis of the UGC and extracting the base variables and values from it, generating a consumer characteristics matrix for segmenting process, and finally describing the segments' preferences, regional and dynamic characteristics. The authors verify the feasibility of the method with publicly available data. The external validity of the method is also tested through questionnaires and product regional sales data.

The authors apply the proposed methodology to analyze 53,526 UGCs in the New Energy Vehicle (NEV) market and classify consumers into four segments: Brand-Value Suitors (32%), Rational Consumers (21%), High-Quality Fanciers (26%) and Utility-driven Consumers (21%). The authors describe four segments' preferences, dynamic changes over the past six years and regional characteristics among China's top five sales cities. Then, the authors verify the external validity of the methodology through a questionnaire survey and actual NEV sales in China.

The proposed method enables companies to utilize computing and information technology to understand the market structure and grasp the dynamic trends of market segments, which assists them in developing R&D and marketing plans.

This study contributes to the research on UGC-based universal market segmentation methods. In addition, the proposed UGC structural analysis algorithm implements a more fine-grained data analysis.

The purpose of this study is to propose a new consumer value segmentation method for low-dimensional dense market datasets to quickly detect and cluster the most profitable customers for the enterprises.

In this study, the comprehensive segmentation bases (CSB) with richer meanings were obtained by introducing the weighted recency-frequency-monetary (RFM) model into the common segmentation bases (SB). Further, a new market segmentation method, the CSB-MBK algorithm was proposed by integrating the CSB model and the mini-batch k-means (MBK) clustering algorithm.

The results show that our proposed CSB model can reflect consumers' contributions to a market, as well as improve the clustering performance. Moreover, the proposed CSB-MBK algorithm is demonstrably superior to the SB-MBK, CSB-KMA and CSB-Chameleon algorithms with respect to the Silhouette Coefficient (SC), the Calinski-Harabasz (CH) Index , the average running time and superior to the SB-MBK, RFM-MBK and WRFM-MBK algorithms in terms of the inter-market value and characteristic differentiation.

This paper provides a tool for decision-makers and marketers to segment a market quickly, which can help them grasp consumers' activity, loyalty, purchasing power and other characteristics in a target market timely and achieve the precision marketing.

This study is the first to introduce the CSB-MBK algorithm for identifying valuable customers through the comprehensive consideration of the clustering quality, consumer value and segmentation speed. Moreover, the CSB-MBK algorithm can be considered for applications in other markets.

Food waste (FW) reduction, of which household wastage comprises a large fraction, has an important role in promoting the circular economy (CE). This study investigates how certain consumer traits impact household FW, particularly in the face of external shocks.

The authors conducted a qualitative and longitudinal study, spanning three periods in New Zealand. A preliminary model is constructed from the outcomes of a survey with 178 participants. Then, the authors carried out 29 semi-structured interviews to refine the preliminary model and adapt it to the analysis of household waste behavior.

Different segments of consumers have distinct response patterns in successive lockdowns, and these patterns impact household FW reduction and food supply chain (FSC) management. The key findings include (1) for government, quick responses to quash unhelpful rumors help to reduce public concerns around FSC interruption; (2) for retailers, the pandemic has hastened the growth of online shopping; being able to expand the distribution channel in a short time is a critical issue; and (3) for consumers, the experience of lockdown has different impacts on different groups of consumers. This variation of experience may either enhance or exacerbate FW in households.

This paper complements the existing literature on the FSC and contributes to household FW and CE literature by providing a framework that integrates external impacts, consumer segmentation to reflect on waste management, and the possible applications of the proposed framework.

This study explores the influence of the following factors on consumer adoption of blockchain food traceability (BFT): innovation-adoption characteristics, segmentation, expertise in food traceability, expertise in blockchain technology, food categorical preferences and perceived important features of BFT.

The data was collected via an online questionnaire with 1,401 participants in New Zealand. Exploratory factor analysis, structural equation modelling and segmentation analysis were undertaken.

Consumer adoption of blockchain food traceability was significantly influenced by two innovation-adoption characteristics – perceived incentives and perceived complexity, as well as their expertise in food traceability. Two consumer segments were identified: Conservatives (48%) and Pioneers (52%). Significant differences were found between these two segments in terms of gender, age, education, occupation, residential area and ethnicity. Consumers are more willing to use BFT for purchasing fresh, imported, staple and normal foods than for processed, domestic and upscale foods. Their perceived important specific features of BFT are product origin, food safety information, quality control, food safety information, hygienic condition and scarcity management.

This study contributes knowledge to address the current knowledge gap regarding consumer adoption of blockchain food traceability by using a large sample set. It is also the first study to recognise consumer segments for BFT; to provide information about consumers' important socio-demographic characteristics, food categorical preferences and perceived important features towards BFT; and to explore the influences of consumers' innovation-adoption characteristics, expertise in food traceability and expertise in blockchain technology on their adoption of blockchain food traceability.

This study aims to provide insights into wine consumers in Hong Kong and Mainland China, and the diversity of their behavior, by investigating their motivations, consumption and purchasing behavior and segmenting the sample based on wine knowledge and frequency of consumption to identify three distinct clusters that are then profiled.

Data was collected through an online survey of wine consumers of ethnic Chinese origin residing in Mainland China and Hong Kong, using two methods of recruitment (a convenience sample from wine-related databases, a panel survey undertaken by an international market research firm). The final sample comprised 477 respondents, about equally divided among Mainland Chinese and Hong Kong wine consumers. Analysis of the data using the Statistical Package for Social Sciences for Windows (SPSS) 29 included a series of descriptive analyses, followed by a two-step cluster analysis using an Euclidean distance method.

Wine knowledge and frequency of wine consumption were relatively higher within the sample as a whole than previous studies, but three distinct consumer segments are evident. There is evidence of a democratization of wine consumption, and a greater focus on wine consumption for enjoyment in relaxed and informal settings. rather than consumption driven by health and status, occurring primarily in commercial or business settings. The dominance of red wine in this market is also declining, and intrinsic cues – specifically, prior experience of the wine – are becoming important in wine purchase decisions.

This study uses a broad sample of wine consumers to identify trends in wine consumption patterns and motivations, and purchase decision-making behavior, of Mainland Chinese and Hong Kong wine consumers. The identification of three clusters of wine consumers offers both points of comparison with previous segmentation research globally and within China, whilst also identifying scope for further research.

This study aimed to identify and profile segments of seaweed consumers in the United Kingdom.

Hierarchical k-means cluster analysis was used to identify consumer segments based on consumers' self-identity and environmental values. In addition, the study used subjective knowledge, intentions and consumption to profile different consumer segments. The data were collected in 2022 through a consumer survey with a representative sample from the United Kingdom (n = 1,110).

Cluster analysis segmented consumers into three groups: progressive (39%), conservative (33%) and egoistic (28%). The progressive segment was most likely to consume seaweed food products. Consumers in the progressive segment identify themselves as food innovative and healthy; they also highly value the environment and their pleasure. Conservative and egoistic consumers were significantly less likely to consume seaweed food products.

The results suggest that public policy officers and marketers promote seaweed food products by emphasizing biospheric values for innovative (younger) consumers, as well as seaweed’s good taste and nutritional/health qualities.

This study identifies and examines the profiles and characteristics of seaweed consumers based on their values and self-identity. Through this research, the authors have discovered how environmental values and self-identity can effectively group consumers into homogeneous segments. Moreover, the authors have identified a specific consumer group in the UK that is more likely to consume seaweed food products.

Given the increased significance and rapid growth of an ageing population, this review paper aims to define the mature consumer segment chronologically to resolve definitional inconsistencies found in prior marketing communications literature, identify the current state of the marketing communications field in terms of mature consumer research and highlight future research directions on mature consumers for marketing communications academics and practitioners.

A synthesis of existing marketing communication research on mature consumers (those aged 50+), published in top-tier journals since 1972, is provided. In total, 106 papers were identified in 21 marketing journals.

Three existing research themes were identified: market segmentation of mature consumers (we ground this theme in three inter-related facets: chronological age, health [physical and neurological] and self-perception of age [also referred to as cognitive age]); attitudes and behaviours of mature consumers; and marketing to mature consumers. This paper also proposes several future research themes: further definition of mature consumers and widening the scope of examination; segmenting mature consumers to account for heterogeneity; information processing of mature consumers cannot use a one-size-fits-all approach; the influence of marketing mix elements on mature consumers; and alternative methodologies to better understand mature consumers.

Recognising the heterogeneity within the chronologically based mature consumer segment, this paper proposes an extended mature consumer definition which includes biological, psychological and social dimensions, as well as life events and life circumstances, rather than biological age alone.

In practical terms, understanding information processing of mature consumers cannot use a one-size-fits-all approach and marketing mix elements may affect behaviour differently within this segment. This will require alternative methodologies to understand these processes fully.

This synthesis of mature consumers research within the marketing communications field provides key research questions for future research to better understand this market segment and its implications for marketing communications, theory development and practice.

Given the importance of the growing segmentation of ageing consumers and their increasing interaction with the Internet, digital marketing scholars are becoming more interested in this market. Prior research needs to pay more attention to this market in many contexts of digital marketing. This study aims to provide insights into ageing consumers’ content usage, content typology choices, and online brand advocacy (OBA).

Semi-structured interviews were applied, and 16 consumers from Southern Europe aged 55+ were included. The interviews were transcribed and examined following the principles of content analysis.

According to the research, older consumers display their usage and concerns regarding online content. They have different decision-making processes depending on whether they are purchasing products or services. Likewise, their choices of content typology vary based on the utilitarian or hedonic product category.

This study contributes to the literature by providing insights into this growing segmentation and proposing an OBA framework for older consumers related to content marketing. Finally, the study suggests that older consumers are passive online and active offline brand advocates.

Food delivery applications (FDAs) are becoming more and more well-liked across Generations X, Y and Z, with Asia experiencing the biggest growth. These three generations of consumers have distinct views toward using FDAs because they were influenced by various social environments, cultures and experiences. Therefore, marketers ought to present customers with various values. The purpose of this study is to investigate how the theory of consumption values (TCV) affects the intention of various generational cohorts to continued usage intentions.

Online surveys were distributed to 745 Thai customers who had previously ordered meals from FDAs to collect information. The data were analyzed using partial least squares structural equation modeling and multigroup analysis.

Results reveal that there are significant differences among Generations X, Y and Z, while emotional value is insignificant. Generation X is concerned about functional and conditional value, whereas Generation Y expresses the highest concern on epistemic and social value. Meanwhile, Generation Z pays attention to epistemic, functional and social value.

The novelty of this study contributes to TCV affecting the different FDAs consumption value among Generations X, Y and Z, while the previous research only focused on gender and age difference, and this study firstly combines FDAs with TCV to predict the consumers’ intention to continuously use FDAs in the post-COVID-19 outbreak.

The purpose of this research is to segment Pakistani consumers based on their insights and preference towards mango quality and safety attributes and to demographically characterise each segment so that effective value chain (VC) development strategies may be developed.

Factor and cluster analysis were applied to data collected from 400 mango buyers randomly selected from seven different cities in Pakistan.

This empirical study identified four distinct segments of mango consumers in Pakistan. The diversity of consumers' perception was mainly based on four factors: food safety, price and marketing, physical quality and shelf life. Based on their demographic characteristics and preferences for product attributes, the identified consumer segments can be classified as “traditional consumers,” “safety-conscious consumers,” price and market-sensitive consumers,” quality-sensitive consumers” and “perfect consumers.” This knowledge is useful to develop mango VCs that target specific consumer segments based on their chain level abilities and aspirations.

This study offers actors of mango VCs an enhanced understanding of consumer segments based on their perceived preferences towards the quality and safety attributes of mangoes, which would help VC actors design and develop business strategies that deliver value specific to each consumer segments. Findings of this study could also be useful to policy makers to design extension strategies that promote food safety and quality standards in mango VCs. Moreover, this study presents yet another case of consumer segmentation study for VC development in developing countries, adding a stepping stone towards a general VC theory development.

The findings stimulate the momentum of the growing literature, particularly in the developing countries on consumer insights and behaviour toward fruit quality and safety attributes of mangoes.