scholarly journals Ageism Kills Brands

2021 ◽  
pp. 183933492110173
Author(s):  
Zachary William Anesbury ◽  
Steven Bellman ◽  
Carl Driesener ◽  
Bill Page ◽  
Byron Sharp
Keyword(s):  
Panel Data ◽  
Market Share ◽  
Household Panel Data ◽  
The Relationship ◽  
Physical Availability

Market share growth requires building mental and physical availability among all category buyers. However, if younger category buyers are more likely to purchase new-to-market products, then perhaps younger buyers are, relatively speaking, more important for growth. This research investigates the relationship between category buyer age, brand buyer age, and brand failure. When sub-brand buyer age is younger than category buyer age, the sub-brand is likely to be (a) new-to-market or (b) growing in market share. Older-than-category sub-brand-buyer age is likely for sub-brands that are (a) declining or (b) dead. Results from 17 years (1998–2014) of U.K. household panel data, including 5,913 sub-brands from 101 categories, show that age skews were uncommon (only 18% of sub-brands), and second, that growing, stable and declining sub-brands appealed equally to all ages. Finally, we identified that new launches and dead brands tend to skew to younger consumers, suggesting that new launches need to appeal to all ages to avoid failure.

HAPPINESS, INCOME AND HETEROGENEITY

2016 ◽  
Vol 61 (03) ◽  
pp. 1640017 ◽  
Author(s):  
STEFANIE SCHURER ◽  
JONGSAY YONG
Keyword(s):  
Panel Data ◽  
Marginal Utility ◽  
Important Determinant ◽  
Relative Income ◽  
Work Hours ◽  
Random Coefficient Model ◽  
Absolute Income ◽  
Utility Estimate ◽  
Household Panel Data ◽  
The Relationship

This paper investigates the relationship between happiness, income, and relative income, with an emphasis on heterogeneity between individuals. We develop a random coefficient model in which people are allowed to differ in baseline happiness, and the way they transform income and leisure into utility. We hypothesize that additional dollars of income and leisure (work) hours do not necessarily increase (decrease) the utility of all individuals in the same way, and relative income positions and heterogeneity around relative income positions are important explanations for happiness. Using eight waves Australian household panel data (HILDA), we find strong evidence of heterogeneity in the income-happiness relationship, and differences in baseline happiness were partially explained by personality traits. In addition, we also find relative income positions to play an important role in explaining happiness. In some instances the marginal utility estimates of relative income positions were larger in magnitude than the marginal utility estimate of absolute income, affirming EJ Mishan’s view that relative income is an important determinant of happiness.

Retrospective analysis of the resilience of Russian regions as socio-economic systems

2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova
Keyword(s):  
Panel Data ◽  
Economic Systems ◽  
Financial Indicators ◽  
Russian Regions ◽  
Integral Index ◽  
Negative Effects ◽  
Economic Resilience ◽  
Correlation Dependence ◽  
The Impact ◽  
The Relationship

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.

ÖRGÜTLERDE ÖRGÜTSEL BOLLUĞUN GİRİŞİMSEL ORYANTASYON ÜZERİNDEKİ ETKİSİ

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Nurdan Gürkan ◽  
Ahmet Ferda Çakmak
Keyword(s):  
Corporate Governance ◽  
Data Analysis ◽  
Panel Data ◽  
Strategic Management ◽  
Significant Relationship ◽  
Entrepreneurial Orientation ◽  
Panel Data Analysis ◽  
Organizational Slack ◽  
Analysis Method ◽  
The Relationship

The concept of entrepreneurial orientation, which emerges with the development of strategic management, refers to entrepreneurship orientations of businesses. The businesses need resources in other words organizational slack in order to develop their entrepreneurial trends. The organizational slack consists of three slack type. These slack types are available slack, recoverable slack and potential slack. The purpose of this study is to examine whether organizational slack in the businesses has an effect on entrepreneurial orientation. The relationship between organizational slack and entrepreneurial orientation was investigated through 20 companies that were traded in Borsa Istanbul Corporate Governance Index for 2010-2014 period using panel data analysis method. The results of the study indicate the existence of a statistically significant relationship between and the available slack and the recoverable slack with the entrepreneurial orientation in the businesses. According to findings; there was no statistically significant relationship between potential slack and entrepreneurial orientation.

The Links between the Companies Market Price Quality and that of its Management and Business Quality: A System Panel Data Approach

GIS Business ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. 28-38
Author(s):  
Dinis Daniel Santos ◽  
Elias Soukiazis
Keyword(s):  
Panel Data ◽  
Business Performance ◽  
Market Price ◽  
Equation System ◽  
Simultaneous Equation ◽  
System Equation ◽  
Simultaneous Equation System ◽  
Management Quality ◽  
The Relationship

This work uses a simultaneous equation system approach to analyze the relationship between the management and business quality of companies and their market price quality. Using panel data we found that both the management and the business quality of companies positively influence the market price quality of the studied American companies. Additionally, variables like the actual position of the company price quality compared to the industry average, being on the top or the bottom, or the beta value of a company, also influence the market price quality of the respective company. It is shown that the system equation approach is the most appropriate to explain the linkages between price, business, and management quality providing consistent estimates. Also, using ratings to express the three core variables in the system is the most adequate way to define the quality characteristics in terms of price, management, and business performance of the companies considered in this study.

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