scholarly journals Segmentation of Coffee Consumers Using Sustainable Values: Cluster Analysis on the Polish Coffee Market

2018 ◽  
Author(s):  
Grzegorz Maciejewski ◽  
Sylwia Mokrysz ◽  
Łukasz Wróblewski
Keyword(s):  
Cluster Analysis ◽  
Sustainable Consumption ◽  
Computer Assisted ◽  
Purchasing Decisions ◽  
Goods And Services ◽  
Long Time ◽  
The Face ◽  
Coffee Market ◽  
And Cluster Analysis ◽  
Source Of Information

In the face of the ongoing degradation of the natural environment and increasingly worrying climate change, societies and their governments should pay more and more attention to the issue of the development of sustainable consumption and pro-environmental consumer behaviour. It has been known for a long time that producers and retailers are the driving force behind adopting the idea of ​​sustainable development. Unfortunately, many of them, when preparing the offer of their goods and services, still take into account only such consumer characteristics as their wealth, the purchasing frequency and volume. In consumer segmentation, the sustainable values ​​that consumers follow when making their purchasing decisions are rarely taken into account. The purpose of the presented article is to try to fill the research gap in this area. The Polish coffee market, on which this type of research has not been conducted so far, was chosen as an example of segmentation taking into account the sustainable values ​​of consumers. The article’s main source of information is the results of primary research carried out using the CAWI (Computer-Assisted Web Interview) technique on a nationwide sample of 800 coffee consumers in July 2018. Multi-dimensional analyses such as extrapolative factor analysis (EFA) and cluster analysis (CA) were used to describe the results which were obtained from the research and statistical analysis. This made it possible to identify and describe six segments of coffee consumers, taking into account their demographic, social and economic characteristics as well as being guided by sustainable values in their purchases. The conclusions presented in the last part of the article may be used by manufacturing and trade enterprises, operating on the coffee market, in order to respond to the identified needs and expectations of consumers and by governmental and social organisations so as to determine the directions of pro-ecological education of consumers.

scholarly journals Segmentation of Coffee Consumers Using Sustainable Values: Cluster Analysis on the Polish Coffee Market

2019 ◽  
Vol 11 (3) ◽  
pp. 613 ◽  
Author(s):  
Grzegorz Maciejewski ◽  
Sylwia Mokrysz ◽  
Łukasz Wróblewski
Keyword(s):  
Cluster Analysis ◽  
Ethical Behavior ◽  
Driving Force ◽  
Online Survey ◽  
Sustainable Consumption ◽  
Purchasing Decisions ◽  
Consumer Segmentation ◽  
Consumption Values ◽  
Coffee Market ◽  
And Cluster Analysis

Producers and retailers are the driving force behind the adoption of the idea of sustainability. It has been found that while preparing their product range offer, many still pay attention to the same set of criteria: size of the customers’ earnings, how often they shop, and how much they buy when shopping. In general, sustainable values applied by consumers in their purchasing decisions are rarely taken into account in consumer segmentation. The aim of this study is to recognize if values such as environmental protection, producers’ ethical behavior, fair trade or maximizing the utility function of consumption are important factors in the purchasing process of coffee and if they can be used as segmentation variables. The discussed findings come from a standardized online survey conducted on a sample of 800 Polish coffee consumers in July 2018. The obtained results are discussed by employing multi-dimensional analyses, such as exploratory factor analysis (EFA) and cluster analysis (CA). In consequence, six segments of coffee consumers are identified and described: “responsible, aspiring to be connoisseurs”, “loyal coffee enthusiasts”, “pragmatic users”, “coffee laypersons”, “sophisticated connoisseurs”, and “consumerists, connoisseurs, but not at any price”. Among the identified segments, the most often indicated sustainable consumption values refer to “responsible, aspiring to be connoisseurs”, and the least often to “consumerists, connoisseurs, but not at any price”. The conclusions may be used by manufacturing and trade enterprises operating in the coffee market to respond to the identified needs and expectations of consumers.

scholarly journals Segmentation of Coffee Consumers Using Sustainable Values: Cluster Analysis

2018 ◽  
Author(s):  
Grzegorz Maciejewski ◽  
Sylwia Mokrysz ◽  
Łukasz Wróblewski
Keyword(s):  
Cluster Analysis ◽  
Online Survey ◽  
Sustainable Consumption ◽  
Ethical Behaviour ◽  
Ecological Education ◽  
Purchasing Decisions ◽  
Consumer Segmentation ◽  
Consumption Values ◽  
Coffee Market ◽  
And Cluster Analysis

The driving force behind adopting the idea of ​​sustainable development are producers and retailers. Unfortunately, when preparing their product range for consumers, many of them still only pay attention to the size of the customers’ earnings, how often they shop and how much they buy when shopping. In consumer segmentation, sustainable values ​​that consumers apply when making their purchasing decisions are rarely taken into account. The aim of this article is to show that values ​​such as environmental protection, the ethical behaviour of producers, fair trade or maximising the utility function of consumption are so important in the purchasing process in the coffee market that they can be used as segmentation variables. The Polish coffee market was selected to carry out segmentation taking into account the consumers' sustainable values. The main source of the article is the results of a standardized online survey conducted on a nationwide sample of 800 coffee consumers in July 2018. Multi-dimensional analyses such as extrapolative factor analysis (EFA) and cluster analysis (CA) were used to describe the obtained results. As a result, six segments of coffee consumers were identified and described: “responsible, aspiring to be connoisseurs”, “loyal coffee enthusiasts”, “pragmatic users”, “coffee laypersons”, “sophisticated connoisseurs”, “consumerists, connoisseurs, but not at any price”. Among the identified segments, the sustainable consumption values ​​most often mentioned refer to "responsible, aspiring to be connoisseurs", and the least often - ”consumerists, connoisseurs, but not at any price”. The conclusions presented in the last part of the article may be used by manufacturing and trade enterprises, operating on the coffee market, in order to respond to the identified needs and expectations of consumers and by governmental and social organisations so as to determine the directions of pro-ecological education of consumers.

scholarly journals The screen for cognitive impairment in psychiatry (SCIP) as a routinely applied screening tool: pathology of acute psychiatric inpatients and cluster analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Petra Schmid ◽  
Agata Czekaj ◽  
Jürgen Frick ◽  
Tilman Steinert ◽  
Scot E. Purdon ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Cognitive Performance ◽  
Clinical Sample ◽  
Psychiatric Patients ◽  
Chronically Ill ◽  
Cognitive Profiles ◽  
Chronic Patients ◽  
Long Time ◽  
And Cluster Analysis ◽  
Chronically Ill Patients

Abstract Background Cognitive dysfunction has been reported in acute psychiatric patients for a long time. The detection of cognitive deficits is crucial both for clinical treatment and for predicting the psychosocial functional level in the further course of the disease. The SCIP is a well-evaluated screening instrument for the examination of cognitive performance in psychiatric patients. We recently integrated the SCIP into our routine admission and discharge assessments on two inpatient wards, and we examined the cognitive profiles of patients with psychotic and affective disorders over the course of their admission. Methods Shortly after admission, and prior to discharge, patients were routinely referred for examination with the SCIP. A total of 529 assessments were completed on admission, and 227 returned for SCIP at the time of discharge. After standardization of the test results against a normative sample, we examined the normalized test values in terms of percentages of pathological cognitive performance based on the total SCIP score, and each of the SCIP subscale scores. We conducted cluster analysis to identify cognitive subgroups within the clinical sample. Results More than 70% of the SCIP results on admission were pathological. At discharge, improvements were observed, especially on tests with attention and speed components. Cluster analysis identified two groups. The cluster with chronic patients showed poorer results at admission, but greater improvement and reached the level of the others at discharge. Conclusions The SCIP appears to have value in routine diagnostic assessments, and in the quantification of improvements in cognitive performance during an inpatient stay. The greatest benefit was observed in chronically ill patients with many previous stays. Trial registration DRKS00019825 (retrospectively registered on 03.12.2019).

International Market Segmentation with the Use of CMS Method and Cluster Analysis

2019 ◽  
Vol 65 (4) ◽  
pp. 492-506
Author(s):  
Marcin Salamaga
Keyword(s):  
Cluster Analysis ◽  
Current Trend ◽  
International Exchange ◽  
Foreign Markets ◽  
Multivariate Statistical ◽  
Goods And Services ◽  
Detailed Assessment ◽  
Constant Market Share ◽  
And Cluster Analysis ◽  
A Current

The segmentation of foreign markets is currently treated as an important element of the strategy of operations of enterprises that participate in international exchange of goods and services. This paper fits squarely into a current trend in research on the matter. The article presents the possibility of combining the model of Constant Market Share developed by Leamer, Stern (1970) with cluster analysis. The CMS method allows for a detailed assessment of the sources of changes occurring in the export of compared countries, and in particular its results allow for answering the following question: To what extent may changes in export be explained by the economic situation in the world trade of individual clusters of commodities and to what extent do they result from the competitiveness of these countries? The application of the multivariate statistical methods for the designated effects will allow for the identification of the clusters of countries of the most similar position in the spatial and commodity arrangement, including countries of similar competitiveness of trade. This approach has been applied to the segmentation of EU countries’ markets.

scholarly journals A New Method of Assessing Sheep Red Blood Cell Types from Their Morphology

Animals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 1130 ◽  
Author(s):  
Ivona Žura Žaja ◽  
Silvijo Vince ◽  
Nina Poljičak Milas ◽  
Ingo Ralph Albin Lobpreis ◽  
Branimira Špoljarić ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Image Analysis ◽  
Principal Component ◽  
Morphometric Parameters ◽  
Haematological Parameters ◽  
Computer Assisted ◽  
Corpuscular Haemoglobin ◽  
Computer Assisted Image ◽  
Mean Corpuscular Haemoglobin ◽  
And Cluster Analysis

Data concerning the morphometric parameters of sheep red blood cells (RBCs) obtained using computer-assisted image analysis have not yet been investigated, and there are no data on any analyses of ovine RBC subpopulations based on their morphometric parameters. The aims of this study are to determine the values of RBC haematological and morphometric size and shape parameters, to form groups according to the obtained values of haematological parameters; to determine the differences in RBC morphometric parameters between the formed groups, and to determine RBC subpopulations and their respective proportions in the formed groups. Thirty-six blood samples were collected from the jugular vein of clinically healthy Lika pramenka sheep, aged between 2 and 5 years. Haematological parameters including haemoglobin (HGB), haematocrit (HTC), mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), and RBC distribution width were analysed using a haematology analyser. Haematological parameters were categorized into two groups: those with lower values or values below the physiological range (Groups 1) and groups with higher values or values above the physiological range (Groups 2). Morphometric parameters of RBCs were determined from stained blood smears using SFORM, a computer-assisted program. Significantly higher values of RBC area, outline, convex, minimal and maximal radius, as well as length and breadth were established in Groups 2 compared to Groups 1 of HGB, HCT, MCV, MCH, and MCHC, respectively. Based on the morphometric parameters of RBCs, three RBC subpopulations were obtained using principal component and cluster analysis: ES 1—the smallest and most elongated RBCs, ES 2—the biggest and most rounded RBCs, and ES 3—average size and shape RBCs. Significantly higher proportions of ES 2 and ES 3 subpopulations, as well as a significantly lower proportion of ES 1 subpopulation, were established in Groups 2 compared to Groups 1 of HGB, HTC, MCV, and MCH, respectively. It can be concluded that ovine RBC subpopulations, based on their morphometric parameters, can be obtained by using computer-assisted image analysis of RBC morphometry and multivariate statistical methods, including principal component and cluster analysis. RBC morphometry, including classification into subpopulations, could serve as a basis for future possibilities in the diagnostic interpretation of anaemic syndromes in veterinary medicine, especially in normocytic, macrocytic, and microcytic anaemias in sheep.

scholarly journals The structure of subpopulations of stallion spermatozoa after thawing differs between good and poor freezers

2020 ◽  
Vol 65 (No. 11) ◽  
pp. 403-410
Author(s):  
Filipa Bubenickova ◽  
Jiří Šichtař ◽  
Linda Nováčková ◽  
Jitka Sirohi ◽  
Ondřej Šimoník
Keyword(s):  
Cluster Analysis ◽  
Sperm Quality ◽  
Computer Assisted ◽  
Motile Sperm ◽  
Kinematic Parameters ◽  
Sperm Analysis ◽  
Total Proportion ◽  
And Cluster Analysis ◽  
The Times ◽  
The Individual

The aim of this study was to evaluate differences in the presence of sperm subpopulations in frozen-thawed semen in stallions with different freezability. The motility of individual spermatozoa of 24 stallions from 15 breeds was evaluated using computer-assisted sperm analysis (CASA) immediately after thawing (T0) and after 30 min of incubation (T30). In accordance with our previous studies, samples were initially divided based on their total motility into categories of good (GF) and poor (PF) freezers. K-means cluster analysis of kinematic parameters of spermatozoa was used to divide motile sperm (n = 57 630) into three subpopulations. Analysis of variance was used to evaluate differences in the subpopulations between GF and PF stallions at the times of incubation T0 and T30. Statistically significant differences were found in most kinematic parameters between PF and GF stallions as well as between the times of incubation T0 and T30 (P < 0.05). Spermatozoa of good freezers are represented more frequently in the fast and medium fast subpopulations and are faster and more linear than those of poor freezers (P < 0.05). Sperm from PF stallions were more strongly affected by longer incubation. The percentage of sperm in the fast and medium fast subpopulations was lower in samples from PF stallions, but assessment of the motility parameters in particular sperm subpopulations revealed that these sperm had good velocity. Poor freezer samples had lower sperm quality due to a reduced total proportion of motile sperm, and these samples were more sensitive to prolonged time after thawing. Thus, an efficient sperm selection method or a special insemination technique should be used for obtaining doses from stallions with poor freezability. Our study showed that the CASA system and cluster analysis are promising tools for better understanding the significant differences in the individual stallion freezability, and further research should be focused on their application in the field.

scholarly journals Negative psychological aspects of working with experimental animals in scientific research

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11035
Author(s):  
Hanna Mamzer ◽  
Agnieszka Zok ◽  
Piotr Białas ◽  
Mirosław Andrusiewicz
Keyword(s):  
Cluster Analysis ◽  
Young People ◽  
Animal Welfare ◽  
Psychological Aspects ◽  
Computer Assisted ◽  
Animal Testing ◽  
Correlation Matrices ◽  
Experimental Animals ◽  
And Cluster Analysis ◽  
Main Component

The aim of the study was to reveal the negative psychological aspects of using animals by scientists and to determine whether the emotional tensions and stress are associated with performing experiments on animals. All 150 participants of the study conduct experiments on animals in their work. Computer-assisted web interviewing, was used to collect the data. Correlation matrices for factorial analysis of main component loads and cluster analysis have been calculated as grouping methods revealed two different categories of researchers, which were mostly distinguished by acceptance and aversion to animal testing and animal welfare. The main findings demonstrated, that there is a group of respondents who feel discomfort when performing experiments on animals. Especially young people involved in animal testing, feel remorse, emotional tension and helplessness.

scholarly journals THE EFFECT OF TRADE BRANDS ON PURCHASE DECISIONS ON HONDA MOTORS IN PT ABADI MOTOR INDONESIA

2020 ◽  
Vol 6 (3) ◽  
pp. 7-14
Author(s):  
Agus Jamaludin ◽  
Firdaus Budhy Saputro ◽  
Ellin Karlina
Keyword(s):  
Linear Regression Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Purchase Decisions ◽  
Purchasing Decisions ◽  
Goods And Services ◽  
Long Run ◽  
Long Time ◽  
Alternative Behaviors

Trademarks will be a source of competitiveness that can last a long time and can be a producer of cash flow for the company in the long run. Products that have strong brands will be difficult to imitate because consumers' perceptions of value or certain brands will not be easy to create. Brands are signs in the form of images, names, words, letters, numbers of color arrangements, or a combination of these elements which has a distinguishing power and is used in the trading of goods and services. Whereas purchasing decisions are a process of integration that combines knowledge to evaluate two or more alternative behaviors and choose one of them. The method in this study uses the field reserch method to obtain primary data in the form of observations, interviews and questionnaires and the library reserch method to obtain secondary data in the form of library data from scientific works, thesis, thesis, dissertation and books relevant to the research title. The purpose of this research is to find out whether there is a trademark influence on purchasing decisions of Honda motorcycles. The results of his research are: For simple linear regression analysis the results are: b = 0.43, a = 18.28, then Y = 18.28 + 0.43 X. Correlation Test, the result: r = 0.56. The results of the coefficient of determination analysis = r2 = 31.36%. Hypothesis testing is to find out the significance of the trademark influence on purchasing decisions, namely the results t count = 2.866, as for t table with an error rate of 5% (0.05) sample of 20 people and the result is t table = 2.101, then t count is greater than t table then Ha is accepted and H0 is rejected, which means there is a significant influence between the trademark on the purchase decision of Honda motorcycles at PT Abadi motor, Indonesia.

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