scholarly journals SEGMENTATION OF TREK AND TRAIL RACE RUNNERS AS TOURISTS

2021 ◽  
Vol 7 (1) ◽  
pp. 53-61
Author(s):  
Ivana Tonković Pražić ◽  
◽  
Marko Pražić ◽  
Kristina Devčić ◽  
◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Statistical Analysis ◽  
Online Survey ◽  
Future Research ◽  
Marketing Practice ◽  
The Third ◽  
Cluster Solutions ◽  
And Cluster Analysis ◽  
And Behavior

This paper seeks to supplement the theory of sports marketing with additional knowledge on the participants in trek and trail races, provide basis for better understanding of their motives and behavior. The research instrument is a questionnaire consisting of 30 questions where the first part concerns with behavior at races; the second part consists of statements about the motives and the third part of descriptive questions. There were 194 participants who were interviewed by an online survey. The statistical analysis was conducted using factor analysis and cluster analysis. Five different factors / types of motivation and behavior of trek and trail race runners were extracted. Cluster analysis was also conducted and three cluster solutions were retained. Implications for marketing practice, limitations of the research and recommendations for future research were also given.

scholarly journals Types of professionalization

2018 ◽  
Vol 8 (3) ◽  
pp. 298-316 ◽  
Author(s):  
Grazia Lang ◽  
Torsten Schlesinger ◽  
Markus Lamprecht ◽  
Kaisa Ruoranen ◽  
Christoffer Klenk ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Organizational Development ◽  
Online Survey ◽  
Hierarchical Cluster ◽  
Organizational Characteristics ◽  
Future Research ◽  
Content Type ◽  
Organizational Patterns ◽  
And Performance ◽  
And Cluster Analysis

Purpose The purpose of this paper is to identify types of professionalization in Swiss national sport federations (NSFs) and analyze organizational characteristics associated with specific types of professionalization. Such types reveal common patterns among the increasingly complex organizational designs of NSFs and thus contribute to the understanding of professionalization in NSFs. Design/methodology/approach An online survey of all Swiss NSFs was conducted to identify types of professionalization in these organizations using hierarchical cluster analysis, based on a multi-dimensional framework of professionalization. Findings The analysis revealed four types of professionalization: formalized NSFs managed by paid staff, NSFs managed by volunteers and a few paid staff off the field, NSFs with differing formalization and paid staff on the field, and moderately formalized NSFs managed by volunteers. The types differ in terms of the NSFs’ organizational characteristics, in particular, size, financial resources, Olympic status, and performance. Originality/value Applying factor and cluster analysis is a new approach to analyzing professionalization in NSFs that makes uncovering distinctive organizational patterns among a large number of NSFs possible. These results lay the foundation for understanding the professionalization of NSFs, counseling NSFs on their organizational development, and conducting future research on the design types of sport organizations.

Giving light to mega-event planning: residents' perceptions on total eclipse weekend

2020 ◽  
Vol 11 (2) ◽  
pp. 203-221
Author(s):  
Carole B. Sox ◽  
Mary M. Sox ◽  
Jeffrey M. Campbell
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Online Survey ◽  
Content Type ◽  
Mega Events ◽  
Academic Knowledge ◽  
Strategic Execution ◽  
And Cluster Analysis ◽  
Mega Event ◽  
Practical Implications

PurposeMega-events have been the topic of unprecedented consideration within recent research. Research on the residents' perspectives, however, is still in the infancy stage, yet a key contributor to the overall legacy planning considerations and process. This research investigates resident perceptions toward a mega-event to assist with planning/execution of such events in addition to advancing knowledge within this area.Design/methodology/approachFor this research, an online survey was utilized to reach out to residents in the host city during the mega-event, Solar Eclipse Weekend. Factor analysis and cluster analysis were used to analyze the results.FindingsUsing exploratory factor analysis, 305 online surveys were analyzed. Using varimax rotation, factor analysis determined four significant factors: environment, local engagement, tourism support, and infrastructure. Cluster analysis was then conducted identifying three clusters of residents labeled neutralists, supporters and enthusiasts.Practical implicationsThe practical implications should be of assistance to professional event planners, city governments and destination marketing organizations. Through utilization of the information provided, community participation should be sought after throughout the planning phase and into the management and execution of large events to best gain resident support.Originality/valueThis research further explored residents' perspectives of a mega-event. While this area of research has been noted in strategic approaches to planning, managing and executing mega-events, the research on stakeholders (such as residents') perspectives is still in the infancy stage. This research contributes to advancing industry planning approaches and strategic execution, in addition to advancing academic knowledge within this area.

STUDY ON PLANKTON OF DIFFERENT CATEGORIES OF LAKES IN SUMMER BY MEANS OF PRINCIPAL COMPONENT ANALYSIS, FACTOR ANALYSIS AND CLUSTER ANALYSIS

2010 ◽  
Vol 36 (1) ◽  
pp. 43-50
Author(s):  
Luo-Jun GONG ◽  
Shi-Ping ZHANG ◽  
Bang-Xi XIONG ◽  
Ding-Zhu LIU ◽  
Jin-Zhong LI ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Factor Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
And Cluster Analysis

scholarly journals Research status of human resource management in China based on scientific knowledge map

2021 ◽  
Vol 251 ◽  
pp. 03096
Author(s):  
Kun Qian ◽  
Yingxue Li ◽  
Yuenan Lv ◽  
Xiaonan Yang
Keyword(s):  
Cluster Analysis ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Scientific Knowledge ◽  
Visual Analysis ◽  
Future Research ◽  
Knowledge Map ◽  
Management Research ◽  
And Cluster Analysis

In order to accurately grasp the current research frontier of human resource management, according to certain retrieval conditions, 2724 literatures published from 2011 to 2021 were retrieved from CNKI database as data samples. CiteSpace software was used for visual analysis, CO citation analysis and cluster analysis were carried out on these literature data, and the corresponding knowledge map was drawn. The objective of this paper is to show the hot topics and cutting-edge trends of human resource management research in China and draw the current situation of human resource management research in China, in order to provide reference for future research.

scholarly journals Typology and characterization of the pampean beekeeping systems

2020 ◽  
Vol 51 (2) ◽  
pp. 299-318
Author(s):  
Tomás Bragulat ◽  
Elena Angón ◽  
Alberto Giorgis ◽  
José Perea
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Rural Areas ◽  
Export Market ◽  
Multivariate Techniques ◽  
High Productivity ◽  
Selection Of Variables ◽  
Socially Relevant ◽  
And Cluster Analysis ◽  
Random Survey

Objective: Identify and characterize the beekeeping systems of La Pampa (Argentina) using multivariate techniques based on the main structural, productive and economic characteristics. Methodology: The data was collected through a random survey of 80 beekeepers. The classification and description of the apicultural systems was based on a multivariate sequence comprising three stages: review and selection of variables, factor analysis and cluster analysis. Results: Factor analysis revealed that the size of the farm and the productive and economic performance of beekeeping jointly explained 66% of the variability. Through cluster analysis, three types of beekeeping have been identified: (i) Subsistence beekeeping grouped 55% of the farms, mainly characterized by small sizes and low productive and economic yields. (ii) Industrial beekeeping concentrated 54% of production in 15% of farms, mainly characterized by large sizes and high productive and economic yields. (iii) Commercial beekeeping grouped 30% of the farms, mainly characterized by high productivity with intermediate sizes. Limitations: The study has been carried out on a few farms due to the difficulty of obtaining answers to all the variables included in the survey. Practical implications: Beekeeping in La Pampa is generally a highly heterogeneous complement of income or family subsistence, with low productivity and low input use. Subsistence beekeeping is a socially relevant system for its contribution to family employment and income in rural areas. Industrial beekeeping is oriented to the export market and has a more competitive scale. Commercial beekeeping is situated on an intermediate scale.

Investigation of Smartphone Use Addiction in Generation Y

2020 ◽  
pp. 190-205
Author(s):  
Zeynep Güvenç Salabğir ◽  
Süphan Nasır
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Social Network ◽  
Social Networking ◽  
Generation Y ◽  
Online Survey ◽  
Smartphone Addiction ◽  
Five Dimensions ◽  
Digital World ◽  
Smartphone Use

In recent years, rapidly developing of communication technology, increasing of internet and social networking applications usage have led to an increase in the level of smartphones dependence. Transformation of smartphone use from habit to addiction and spread of this addiction especially among young adults emphasize seriousness of the matter. In this context, the main purpose of this research is the investigation of smartphone use and addiction in Generation Y that are a part of the digital world. An online survey was conducted with 887 respondents who own a smartphone from Turkey. Five dimensions of smartphone addiction were extracted from the factor analysis, namely tolerance, accompany/fellowship, withdrawal, social network dependence, and health problems. In order to classify smartphone addiction groups, K-means cluster analysis was used on the extracted factors. Four groups named “nonaddicts,” “heavy addicts,” “realistic addicts,” and “emotional addicts” were determined.

scholarly journals Behavioral patterns of consumers participating in food safety and social co-governance: consumption choices and environmental improvement

2019 ◽  
Vol 131 ◽  
pp. 01086
Author(s):  
Menghui Qiu ◽  
Zhijing Zhao
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Food Safety ◽  
Behavioral Patterns ◽  
Chinese Consumers ◽  
Consumption Choices ◽  
The Social ◽  
The Government ◽  
And Cluster Analysis ◽  
Behavior Models

Consumers are the most direct stakeholders of food safety, and their effective participation is the key to the social Co-governance of food safety. Based on the specific behaviors of Chinese consumers participating directly and indirectly in the social Co-governance of food safety, using the data of 350 consumers’ behavior survey and factor analysis and cluster analysis, this paper extracts two kinds of behavior models of Chinese consumers participating in the social Co-governance of food safety, namely, consumption choices model and environment improvement model. It is found that Chinese consumers are inclined to adopt the “environment improvement” model at this stage, which is the inevitable result of the current food safety pressure in China. The government should formulate corresponding policies to better guide consumers to participate in the social Co-governance of food safety.

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