scholarly journals Mapping the Market Segments for the Consumers of Greek Cooperative Food Products

2021 ◽  
Vol 13 (7) ◽  
pp. 3825
Author(s):  
Ourania Tremma ◽  
Achilleas Kontogeorgos ◽  
Philippos Karipidis ◽  
Fotios Chatzitheodoridis
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Food Products ◽  
Agricultural Cooperatives ◽  
Value For Money ◽  
Market Segments ◽  
Local Society ◽  
Economic Development And Growth ◽  
Different Characteristics ◽  
Western Greece

The purpose of this study was to illustrate and understand how consumers of cooperative food products could be segmented in the region of Western Greece. For this purpose, a questionnaire survey was undertaken involving almost 500 consumers in the selected region. Consumers were segmented on the basis of their consumption of cooperative products and in association with their attributes and beliefs regarding cooperatives’ products. Τhe performed cluster analysis grouped participants into four distinct groups with different characteristics and perceptions regarding cooperatives’ products. The consumer groups were called “skeptics”, “cooperative”, “passively sensitive”, and “indifferent”. According to the results, in general, participants considered cooperative food products as a safe choice with excellent value for money and contributing to the local society, economy, and sustainability. Segmentation could allow agricultural cooperatives to focus only on those segments of consumers that are willing to pay for cooperative products by allocating all available resources in serving them. The results of this research, even with its limitations, can help directors and marketing executives of agricultural cooperatives to better understand that operating in a specific market could be more effective when targeted at specific segments to help not only the viability of agricultural cooperatives but also their economic development and growth.

Analysis and Segmentation of Visitors in a Natural Protected Area

2018 ◽  
pp. 39-62 ◽  
Author(s):  
Sonia Ferrari ◽  
Monica Gilli ◽  
Luigi Bollani
Keyword(s):  
Cluster Analysis ◽  
Protected Area ◽  
National Park ◽  
Marketing Strategies ◽  
Market Segments ◽  
Effective Strategies ◽  
Natural Parks ◽  
Survey Results ◽  
Tourism Destinations ◽  
Different Characteristics

Nature-based tourism is one of the segments of the tourism market that is growing more and faster in last years. For this reason, natural parks have become major tourism destinations and their management should be more focused in terms of marketing, through the adoption of effective strategies targeted to specific market segments. Only by knowing their visitors, through a market segmentation process, will park managers be able to identify different profiles of users and to understand their motivations, expectations, and needs. Sila National Park (Italy) is carrying on every year, since 2009, an inquiry among visitors with the purpose of knowing better their characteristics and identifying different segments of tourists. Last year's survey results show, through a cluster analysis, the existence of five visitor segments with very different characteristics and expectations among them. The chapter proposes a description of these clusters, trying to identify the marketing strategies suitable for each target.

GRANOLA BAR YANG DIFORTIFIKASI DENGAN PROTEIN DAGING KERANG SEBAGAI SNACK SEHAT BAGI ANAK BERKEBUTUHAN KHUSUS

EKOLOGIA ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 78-82
Author(s):  
Sata Yoshida Srie Rahayu ◽  
Tri Aminingsih ◽  
Yulianita .
Keyword(s):  
Special Needs ◽  
Analysis Of Variance ◽  
Research Method ◽  
Nutritional Value ◽  
Food Products ◽  
Children With Special Needs ◽  
Organoleptic Test ◽  
Anodonta Woodiana ◽  
Different Characteristics

Flour of Anodonta woodiana meat may be added in the manufacture of food products such as granola bar. The aim of addition is to increase the nutritional value on snacks needed by children with special needs through fortification. This research method was done by making products granola bar in three formulas: without the addition of shells flour, the addition of 2.8 gram, and 5.6 gram. Granola bar were made for consumption by children (7-9 years old) and teenager (10-18 years old). Tests performed included organoleptic test. The results of organoleptic test between three formulas of produced granola bar have different characteristics in flavor parameter. The results of the analysis of parameters of color, aroma, and flavor tested by analysis of variance software showed that the most preferred formula is the second formula with the addition 2.8 gram of mussel meat flour. This granola bar snack is a healthy snack that is safe for consumption by children with special needs, because it is made from ingredients that do not contain flavorings, dyes and artificial preservatives.

Classification of Observations through Combination of the Dimension Reduction and the Cluster Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 30
Author(s):  
Hyeuk Kim
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Unsupervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Baseball Players ◽  
Partitioning Around Medoids ◽  
Different Characteristics

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.

Small-Scale Cultural Tourism Events: Residents' Perceptions on Their Quality and Impacts

2020 ◽  
Vol 25 (2) ◽  
pp. 283-293
Author(s):  
Maria Doumi ◽  
Anna Kyriakaki ◽  
Theodoros Stavrinoudis
Keyword(s):  
Cluster Analysis ◽  
Present Article ◽  
Natural Environment ◽  
Local Level ◽  
Tourism Development ◽  
Cultural Tourism ◽  
Small Scale ◽  
Primary Research ◽  
Local Society ◽  
Cultural Events

In the present article researchers feature the examination of the opinions and attitudes of the residents of Chios island in Greece. It is based on the investigation of both the characteristics (quality, potential, organization) of the island's main annual cultural events (Rocket War, Agas, and Mostra) and their possible impact on the local society, economy, tourism, and natural environment. Cluster analysis was used to classify the residents under three groups: Embracers, Realists, Neutrals. Each group has particular characteristics and a clearly defined opinion about local cultural tourism events and their impact on a local level. According to the main findings of the primary research some particularly interesting aspects of the effects of local cultural tourism events both on the local level and on the island's tourism development emerge. The conclusions drawn from the elaboration of such findings afford an opportunity to understand better the general impact of cultural events and by the same token to assist government bodies, residents, and other stakeholders in maximizing benefits, whenever possible.

Coping with a Cluttered Marketplace: Athlete Choice of Products to Support Training*

2013 ◽  
Vol 27 (1) ◽  
pp. 59-72 ◽  
Author(s):  
Brianna L. Newland ◽  
Laurence Chalip ◽  
John L. Ivy
Keyword(s):  
Cluster Analysis ◽  
Logistic Regression ◽  
Conjoint Analysis ◽  
Multinomial Logistic Regression ◽  
Scientific Evidence ◽  
Optimal Choice ◽  
Market Segment ◽  
Market Segments ◽  
Fat Taste ◽  
Postexercise Recovery

To determine whether athletes are confused about supplementation, this study examines the relative levels of adult runners’ and triathletes’ preferences for postexercise recovery drink attributes (price, fat, taste, scientific evidence, and endorsement by a celebrity athlete), and the ways those preferences segment. It then examines the effect of athlete characteristics on segment and drink choice. Only a plurality of athletes (40.6%) chose a carbohydrate-protein postexercise recovery drink (the optimal choice), despite the fact that they valued scientific evidence highly. Athletes disliked or were indifferent to endorsement by a celebrity athlete, moderately disliked fat, and slightly preferred better tasting products. Cluster analysis of part-worths from conjoint analysis identified six market segments, showing that athletes anchored on one or two product attributes when choosing among alternatives. Multinomial logistic regression revealed that media influence, hours trained, market segment, gender, and the athlete’s sport significantly predicted drink choice, and that segment partially mediated the effect of sport on drink choice. Findings demonstrate confusion among athletes when there are competing products that each claim to support their training.

scholarly journals The Industry Cluster Approach for Tourism Development of Central Vietnam

2016 ◽  
Vol 11 (5) ◽  
pp. 167 ◽  
Author(s):  
Truong Hong Trinh
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Value Chain ◽  
Regional Economic Development ◽  
Production Network ◽  
Economic Activities ◽  
Industry Cluster ◽  
Location Quotient ◽  
Regional Economic ◽  
Central Vietnam

Industry cluster is frequently mentioned in the literature of the regional economic development, but there are a few studies about identifying competitive clusters in the region. For this reason, the paper approaches cluster analysis for identifying competitive clusters in Central Vietnam. From location quotient and shift-share analysis, the result reveals that tourism cluster is a competitive cluster for the regional economic development. Then, the study develops the tourism cluster in central Vietnam that includes tourism cluster profile, tourism production network, and tourism value chain. Moreover, the study result provides a basic framework for industry cluster analysis that help policy makers and economic developers to understand economic activities, characteristics of competitive cluster and supranational characters in the regional economy, then deliver strategy and policies for tourism cluster development of Central Vietnam.

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