scholarly journals Market Segmentation Analysis

2018 ◽  
pp. 11-22 ◽  
Author(s):  
Sara Dolnicar ◽  
Bettina Grün ◽  
Friedrich Leisch
Keyword(s):  
Market Segmentation ◽  
Segmentation Analysis

scholarly journals How to Avoid Random Market Segmentation Solutions

2017 ◽  
Vol 57 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Dominik Ernst ◽  
Sara Dolnicar
Keyword(s):  
Market Segmentation ◽  
Tourism Industry ◽  
Data Driven ◽  
Knowledge Development ◽  
Data Sets ◽  
Random Solution ◽  
Segmentation Strategy ◽  
Segmentation Analysis ◽  
Consumer Data

Tourism researchers and the tourism industry rely heavily on data-driven market segmentation analysis for both knowledge development and market insight. Most algorithms used in data-driven market segmentation are exploratory; they do not generate one single stable result. Only when data are well-structured (when very clear, distinct market segments exist in the data) are repeated calculations likely to generate the same segmentation solution. When data lack structure, which is frequently the case in empirical consumer data sets, repeated calculations lead to different solutions. Running a market segmentation analysis once only can therefore lead to an entirely random solution that does not represent a strong foundation for developing a long-term market segmentation strategy. The present study (1) explains the problem, (2) assesses how high the risk is of random solutions occurring in tourism market segmentation studies, and (3) recommends an approach that can be used to avoid random solutions.

scholarly journals Salted and preserved duck eggs: a consumer market segmentation analysis

2015 ◽  
Vol 94 (8) ◽  
pp. 1942-1956 ◽  
Author(s):  
Jennifer Arthur ◽  
Kelleen Wiseman ◽  
K.M. Cheng
Keyword(s):  
Market Segmentation ◽  
Consumer Market ◽  
Segmentation Analysis

scholarly journals Segmentation analysis of financial savings markets through the lens of psycho-demographics

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Tendy Matenge ◽  
Rina Makgosa ◽  
Paul T. Mburu
Keyword(s):  
Market Segmentation ◽  
Low Income ◽  
Strategic Communication ◽  
High Income ◽  
Structured Interviews ◽  
Old Adults ◽  
Perceptual Mapping ◽  
Segmentation Analysis ◽  
Gender And Age ◽  
Gender Based

Purpose: This study seeks to contribute to the discourse of financial savings market segmentation. The study explores different segments of savers on the basis of demographic and psychographic characteristics that are unique to each segment relying on the perspectives of a sample of consumers of financial saving programmes. Design/methodology/approach: Principles of perceptual mapping were used to analyse 33 semi-structured interviews that gathered data on the participants’ psychographic make-up such as personal values, motives for saving, attitudes towards savings and perceived conditions of savings. Findings: Eight distinct segments emerged on each psychographic characteristic based on the participants’ demographics of income, gender and age. However, only five were sizeable enough to be interpreted, being three segments from the males’ category and two from the females’ category. The three segments that emerged within the male category are young low-income earners (YoLI), young high-income earners (YoHI) and old high-income earners (OHI) while the two female segments include YoLI and OHI. The most sizeable segment of savers in both gender-based categories is one of old adults who have a high income. These segments vary in terms of values, motives and perceptions. Originality/value: The study suggests that a multi-dimensional approach of segmenting financial savings markets is more effective, as neither the demographic nor the psychographic segmentation can fully describe the saving behaviour of consumers. Research implications: The findings of the present study provide strategic communication implications for financial institutions for the respective segments.

MOTIVATING FOREIGN TOURISTS TO VISIT THE RURAL SITE IN JORDAN, VILLAGE OF PETRA

2012 ◽  
Vol 02 (05) ◽  
pp. 01-07
Keyword(s):  
Market Segmentation ◽  
Structured Data ◽  
Rural Tourism ◽  
Rural Site ◽  
Rural Environment ◽  
Motivational Factor ◽  
Soft Or ◽  
Segmentation Analysis ◽  
The Government ◽  
Economic And Social Impacts

In Jordan, Rural Tourism, (soft or green), has recently attracted lots of international tourists, and become a rapid growing activity in some world regions, hence, experienced important governmental programs and revitalizing strategies, such as market segmentation analysis, to elevate the government economic and social impacts. Consequently, the study aims to determine the main motivations (factors) that attract foreign tourists to visit Petra, the Jordanian rural site. An objective achieved by applying a self-structured data collection questionnaire on Petra tourists in 2008 to end up concluding that well-facilitated rural environment is the main motivational factor for Petra visiting.

International market segmentation analysis of a new meat product

Agribusiness ◽  
1996 ◽  
Vol 12 (5) ◽  
pp. 443-459 ◽  
Author(s):  
Steven J. Torok ◽  
Edward Bradley ◽  
Clynn Phillips ◽  
Gael Bernateau
Keyword(s):  
Market Segmentation ◽  
Meat Product ◽  
International Market ◽  
Segmentation Analysis

IMPACT OF DATA WAREHOUSING ON ORGANIZATIONAL PERFORMANCE OF RETAILING FIRMS

2004 ◽  
Vol 03 (01) ◽  
pp. 61-79 ◽  
Author(s):  
SANG M. LEE ◽  
SOONGOO HONG ◽  
PAIRIN KATERATTANAKUL
Keyword(s):  
Performance Analysis ◽  
Organizational Performance ◽  
Market Segmentation ◽  
Data Warehousing ◽  
Percent Change ◽  
Segmentation Analysis ◽  
Nonfinancial Performance ◽  
Research Goal ◽  
Return On Sales ◽  
The Relationship

This study investigates the relationship between the implementation of data warehousing and organizational performance in retailing firms. For this research goal, five hypotheses are developed and tested. The paired T-tests and Hotelling's T-square tests are performed on two groups — retailing firms implementing data warehousing and those that do not. The results of analyses show that data warehousing firms achieve better nonfinancial performance, including promotional performance analysis, vendor analysis, customer analysis, and market segmentation analysis, but do not achieve better financial performance, including the year-to-year percent change in sales per employee, return on sales, and year-to-year percent change in sales.

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