scholarly journals Consumer segmentation in the German meat market: purchasing habits

2020 ◽  
Vol 23 (1) ◽  
pp. 85-103
Author(s):  
Wiebke Pirsich ◽  
Katharina Wellner ◽  
Ludwig Theuvsen ◽  
Ramona Weinrich
Keyword(s):  
Multinomial Logistic Regression ◽  
Marketing Strategies ◽  
Sufficient Information ◽  
Consumer Segmentation ◽  
Attitudinal Factors ◽  
Point Of Purchase ◽  
Meat Packaging ◽  
Self Service ◽  
Meat Market ◽  
Actual Point

Only considering consumers’ store format choice seldom provides sufficient information on their choice of the actual point of purchase for meat: self-service counter or service counter. For retailers, however, it is of crucial importance to know how meat shoppers differ in their store format choice, preferred type of meat packaging and how these differences can be explained. This paper investigates how attitudes and sociodemographics influence consumer segmentation regarding store format choice and preferred meat packaging type in the German meat market. 667 consumers were segmented based on their purchasing frequency, store format choice, and preferred type of meat packaging using cluster analysis. Then, an exploratory factor analysis examined attitudinal factors. Finally, the factors and respondents’ sociodemographics were regressed onto the consumer clusters using multinomial logistic regression. The application of appropriately adapted marketing strategies can help increase patronage in the segments.

Measuring Consumers' Willingness to Pay at the Point of Purchase

2002 ◽  
Vol 39 (2) ◽  
pp. 228-241 ◽  
Author(s):  
Klaus Wertenbroch ◽  
Bernd Skiera
Keyword(s):  
Willingness To Pay ◽  
Market Research ◽  
Cognitive Effort ◽  
Empirical Comparison ◽  
Optimal Price ◽  
Strategic Response ◽  
Incentive Compatible ◽  
Point Of Purchase ◽  
Private And Public ◽  
Actual Point

Economists, psychologists, and marketing researchers rely on measures of consumers' willingness to pay (WTP) in estimating demand for private and public goods and in designing optimal price schedules. Existing market research techniques for measuring WTP differ in whether they provide an incentive to consumers to reveal their true WTP and in whether they simulate actual point-of-purchase contexts. The authors present an empirical comparison of several procedures for eliciting WTP that are applicable directly at the point of purchase. In particular, the authors test the applicability of Becker, DeGroot, and Marschak's (1964) well-known incentive-compatible procedure for assessing the utility of lotteries to measuring consumers' WTP. In three studies, the authors explore the reliability, validity, and feasibility of the procedure and show that it yields lower WTP estimates than do non-incentive-compatible methods such as open-ended and double-bounded contingent valuation. They show experimentally that differences in WTP estimates arise from the incentive constraint rather than the cognitive effort required in responding. They also control for strategic response behavior.

Knowledge of Sexual Transmission of Zika Virus Among Women Who Are Pregnant or Intend to Become Pregnant, Arizona, 2017

2021 ◽  
pp. 003335492110069
Author(s):  
Elizabeth J. Anderson ◽  
Kacey Ernst ◽  
David O. Garcia ◽  
Elise Lopez ◽  
Kristen Pogreba Brown ◽  
...  
Keyword(s):  
Zika Virus ◽  
Information Sources ◽  
Multinomial Logistic Regression ◽  
Sexual Transmission ◽  
Prevalence Ratio ◽  
The United States ◽  
Sufficient Information ◽  
Women Of Childbearing Age ◽  
Childbearing Age ◽  
Populations At Risk

Objectives Levels of knowledge about the sexual transmission of Zika virus are consistently low in populations at risk of a mosquito-borne outbreak, including among women of childbearing age and women who are pregnant or intend to become pregnant. We investigated the effectiveness of sources of public health messaging about sexual transmission to women who are pregnant or intend to become pregnant in Arizona. Methods In 2017, we conducted an Arizona-statewide survey 15 months after the initial release of US guidelines on sexual transmission of Zika virus. We used Poisson regression, adjusting for demographic factors, to estimate the likelihood among women who were pregnant or intended to become pregnant of knowing that Zika virus is sexually transmitted relative to other women of childbearing age. We used multinomial logistic regression models to explore associations with most used health information sources, either in person (eg, medical providers) or online (eg, Facebook), categorized by extent of dependability. Results Women who were pregnant or intended to become pregnant had similarly poor knowledge of the sexual transmission of Zika virus as compared with other women of childbearing age (adjusted prevalence ratio = 1.14 [95% CI, 0.83-1.55]). Only about one-third of all respondents reported knowledge of sexual transmission. Reliance on high- vs low-dependability information sources, whether in person or online, did not predict the extent of Zika virus knowledge among women who were pregnant or intended to become pregnant. Conclusion As late as the second year of local Zika virus transmission in the United States, in 2017, women in Arizona were not receiving sufficient information about sexual transmission, even though it was available. To prepare for possible future outbreaks, research should explore which aspects of Zika information campaigns were ineffective or inefficient.

scholarly journals Clustering Esports Gameplay Consumers via Game Experiences

2021 ◽  
Vol 3 ◽  
Author(s):  
Wooyoung William Jang ◽  
Kevin K. Byon ◽  
Jennifer Pecoraro ◽  
Yosuke Tsuji
Keyword(s):  
Online Survey ◽  
Prior Experience ◽  
Marketing Strategies ◽  
Consumer Segmentation ◽  
Empirically Supported ◽  
Body Of Knowledge ◽  
Effort Expectancy ◽  
Similarities And Differences ◽  
Targeted Marketing ◽  
The Right

This study focuses on “game experiences” in the context of esports gameplay consumption and aims to identify adequate consumer groups based on their esports experience including perceptions of gameplay, watching, and purchasing hardware. The purpose of this study is to identify adequate consumer groups through consumer segmentation. Based on the literature review, a matrix of esports gameplay was proposed based on high/low esports gameplay, viewing esports, and hardware enthusiasm. Four esports gameplay consumer groups are proposed (all-around gamer, conventional player, observer, recreational gamer) based on their prior esports experiences (esports gameplay, viewing esports content via media, and hardware enthusiasm). A total of 699 usable observations were initially collected by the online survey. Eventually, 508 observations were retained (127 for each group) for multivariate analysis of variance and subsequent univariate tests. The findings indicated the four esports gameplay consumer groups were empirically supported. Furthermore, this study found similarities and differences for each group based on the six antecedents of esports gameplay intention. The findings indicated hedonic motivation and price value might be considered general factors that may be applied to all esports consumers. Contrarily, the findings indicated that social influence, habit, effort expectancy, and flow might be suitable for tailored marketing strategies targeting esports consumer groups. Theoretically, the suggested esports experience will contribute to the growing body of knowledge aimed at understanding esports consumers' behavior through the consistent clustering of behavioral prior experience. Practically, the proposed esports consumers' clustering will contribute to more efficient marketing, with spending on more targeted marketing leading to effectively reaching the right people.

scholarly journals SISTEM PENENTUAN DISKON PADA SWALAYAN BERBASIS JUMLAH PENJUALAN DAN STOK BARANG MENGGUNAKAN METODE FUZZY CONTROL

MATICS ◽  
2015 ◽  
Vol 7 (1) ◽  
pp. 43
Author(s):  
Eltha Sonalitha
Keyword(s):  
Fuzzy Control ◽  
Sales Management ◽  
Marketing Strategies ◽  
Close Proximity ◽  
Main Target ◽  
Complex Calculation ◽  
Determination System ◽  
Self Service ◽  
High Level

<p><em>Abstract-</em>Competition supermarkets scattered everywhere with close proximity constraints have stock of goods in the supermarket is not immediately sold out even to reach the thresholds are exceeded. Sales management must be done to regulate the stock of goods in order to stock a lot of goods can be sold in advance. It is necessary to accelerate the inventory round. Monitoring and observation turnover should be done to determine the most salable goods and sought after by prospective customers with a high level of sales.In order to support the circulation of goods is required appropriate marketing strategies in the form of one of them by giving discounts on goods that are at risk of piling. The main target of this discounting is the amount of inventory that much and goods sales level slightly. The amount of stock that much should be given discounts in the hope that more rapid goods sold, thereby reducing the stock of goods that much. While the level of sales that little item must also be given a discount that much anyway so that goods are not up to the expiry date.This discount can not be separated determination of subjectivity manager self-service based on his experience as a sales management. Merging these two elements in determining the needs of this discount will rise to a complex calculation, to the researchers using fuzzy control methods to overcome them.</p> <p>The main objective of this research is to develop a system that can suppress the determination of prices of the losses suffered as a result of delays in circulation of goods. Research will implement determination system based discount rate of sales and inventory with fuzzy control in supermarkets.</p> <em>Keywords</em>: Supermaket, Discounts, Fuzzy, Control

Rapid Identification of Fresh Milk Customer Segmentation

2019 ◽  
Vol 7 (3) ◽  
Author(s):  
Fadhila Hijryani ◽  
Bagus Sartono ◽  
Utami Dyah Syafitri
Keyword(s):  
Rapid Identification ◽  
Customer Segmentation ◽  
Marketing Strategies ◽  
Decision Tree Algorithm ◽  
Consumer Segmentation ◽  
Fresh Milk ◽  
Ideal Number ◽  
Liquid Milk ◽  
Number Of Segments ◽  
Tree Pruning

Consumer segmentation is the process of grouping customers into some segments based on some shared similar characteristics. Consumer segmentation allows companies to understand the customer's characteristics in each segment, thus make them easier to establish suitable marketing strategies for each segment's characteristics.Companies tend to use marketing strategies with demographical and consumer behavioural based scheme of consumer segmentation therefore make them easier to identify customer as the characteristics are easily measured. This research uses k-means method for segmenting 419 customers of packaged liquid milk. The life style pattern of the customers are used as the basis of the segmentation. Furthermore, this research uses decision tree algorithm to classify characteristics of the new customer. According to Hartigan index alteration (26.2433), ideal number of segments is 4. After tree pruning step, classification modelling with CART method yielded 54.61% accuracy.

scholarly journals Lifetime cigarette smoking and chronic widespread and regional pain in later adulthood: evidence from the 1946 British birth cohort study

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e021896 ◽  
Author(s):  
Rebecca Bendayan ◽  
Rachel Cooper ◽  
Stella G Muthuri
Keyword(s):  
Cohort Study ◽  
Cigarette Smoking ◽  
Leisure Time Physical Activity ◽  
Reference Group ◽  
Multinomial Logistic Regression ◽  
Smoking Prevention ◽  
Smoking History ◽  
Birth Cohort Study ◽  
Sufficient Information ◽  
Increased Risk

ObjectiveTo examine whether different lifetime patterns of cigarette smoking are associated with chronic widespread pain (CWP) and chronic regional pain (CRP) at age 68.DesignProspective cohort study.SettingEngland, Scotland and Wales.ParticipantsUp to 2347 men and women from the Medical Research Council National Survey of Health and Development, who have been followed up since birth in 1946 and provided sufficient information on cigarette smoking across adulthood to be classified as never smoker, predominantly non-smoker, predominantly smoker or lifelong smoker and pain assessment at age 68.Primary outcome measuresPain was self-reported at age 68, and CWP was defined according to American College of Rheumatology criteria. Participants who reported having pain for ≥3 months but who did not meet the CWP definition were classified as having CRP; those who reported pain which had lasted for <3 months were classified as ‘other’ pain. No pain was the reference group.ResultsFindings from multinomial logistic regression models indicated that compared with never smokers, predominantly non-smokers, predominantly smokers and lifelong smokers all had an increased risk of CWP; relative risk ratios=1.70(95% CI 1.16 to 2.49); 2.10(95% CI 1.34 to 3.28) and 1.88(95% CI 0.99 to 3.57), respectively, after adjusting for sex, own occupational class, educational level, body mass index, leisure time physical activity, alcohol intake, long-standing illness and symptoms of anxiety and depression. No association was observed between smoking history and CRP or other pain.ConclusionsThese results suggest that exposure to cigarette smoking at any stage in adulthood was associated with higher risk of CWP in later adulthood; highlighting the ongoing importance of smoking prevention programmes. It also suggests that assessment of lifetime smoking behaviour may be more useful in identifying those at greater risk of CWP in later life than assessment of current smoking status.

scholarly journals Sustainable and Religion Food Consumer Segmentation: Focusing on Korean Temple Food Restaurants

2020 ◽  
Vol 12 (7) ◽  
pp. 3035
Author(s):  
Junkyu Park ◽  
Mark A. Bonn ◽  
Meehee Cho
Keyword(s):  
Food Consumption ◽  
Market Segmentation ◽  
Educational Experience ◽  
Marketing Strategies ◽  
Food Marketing ◽  
Environment Protection ◽  
Food Groups ◽  
Culinary Tourism ◽  
Consumer Segmentation ◽  
Segmentation Analysis

As demand for temple food has significantly grown, this study’s objective was to conduct a market segmentation analysis of temple food consumer motives in order to develop effective marketing strategies. The study identified six motives specific to Korean temple food consumption representing “health-oriented,” “ethical vegetarianism,” “meditative mindfulness,” “educational experience,” “taste,” and “environment protection.” Motives were then used to generate four distinct temple food groups named Highly Motivated, Vegetarian, Environment-Oriented and Minimally Motivated. This study provided useful information for the application of Korean temple food marketing strategies for destinations featuring this growing trend in culinary tourism.

Consumer perspectives on the ethics of an array of technology-based marketing strategies

2017 ◽  
Vol 29 (5) ◽  
pp. 1079-1096 ◽  
Author(s):  
Sam Fullerton ◽  
Roger Brooksbank ◽  
Larry Neale
Keyword(s):  
Online Reviews ◽  
Marketing Strategies ◽  
Future Research ◽  
Measurement Scales ◽  
Content Type ◽  
Ethical Acceptability ◽  
The Usa ◽  
Consumer Perspectives ◽  
Self Service ◽  
A Company

Purpose Technology-based initiatives are now being routinely incorporated within most companies’ marketing strategies. The purpose of this paper is to explore consumer perspectives on the ethics of these initiatives. It also seeks to identify underlying dimensions within the technology-based strategic environment with the intent of generating advances for both academicians and practitioners alike. Design/methodology/approach The enquiry is based on a survey featuring a cross-section of 20 technology-based initiatives. A sample of 967 adult residents of the USA provided their views of the extent to which each initiative/scenario conformed to their perception of society’s norms regarding ethical acceptability. Findings In total, 13 of the 20 initiatives were deemed unacceptable with the greatest disdain exhibited for a company posting bogus online reviews. Most acceptable were self-service checkouts. Three sub-dimensions of the ethicality construct as it relates to technology-based marketing initiatives were identified and validated as measurement scales for use in future research: involvement, communication, and privacy. Research limitations/implications The generalization of findings may be limited because younger and older segments of the population were slightly under- and over-represented, respectively. Practical implications Marketers should recognize that consumers are much more accepting of any initiative from which they will derive some benefit. They should also recognize that within this arena, ethical acceptability is a multi-dimensional phenomenon, necessitating that they strategize accordingly. Originality/value Although previous research has garnered insights with respect to a particular technology-based marketing initiative, none have explored the relativities of consumer perceived ethicality across an array of different initiatives or examined any latent sub-dimensions of the construct in this arena. This study addresses these deficiencies.

scholarly journals METODE ANALISIS DISKRIMINAN KUADRAT TERKECIL PARSIAL UNTUK KLASIFIKASI SEGMEN LOYALITAS KONSUMEN SUSU PERTUMBUHAN

2020 ◽  
Vol 4 (2) ◽  
pp. 284-295
Author(s):  
Herdina Kuswari ◽  
Farit Mochamad Afendi ◽  
Khairil Anwar Notodiputro
Keyword(s):  
Operating Characteristic ◽  
Characteristic Curve ◽  
Marketing Strategies ◽  
Partial Least Square ◽  
Least Square ◽  
Loyalty Program ◽  
Relative Operating Characteristic ◽  
Explanatory Variables ◽  
Consumer Segmentation ◽  
Monetary Approach

Consumer segmentation is the process of dividing consumers into different segments based on consumer characteristics, making it easier for companies to develop marketing strategies. The segmentation is carried out based on consumer loyalty using the RFM (Recency, Frequency, Monetary) approach a number of 7753 members of a nutritional product loyalty program is considered in the analysis. Partial least square discriminant analysis classification modeling is built using the results of consumer segmentation being the a response variable. The model is not good enough based on the AUC (Area Under Curve) value of the ROC (Relative Operating Characteristic) curve that quite low for each segment. The explanatory variables that have high contribution to the model is X5, X9, and X2 with VIP (Variable Importance in the Projection) values more than 1.

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