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1 – 10 of 33Janet L. Nixdorff and Theodore H. Rosen
As of 2007, there were an estimated 10.4 million businesses in the United States that were owned and operated by women. The number of women-owned firms has continued to grow at…
Abstract
As of 2007, there were an estimated 10.4 million businesses in the United States that were owned and operated by women. The number of women-owned firms has continued to grow at around twice the rate of all firms for the past two decades (Center for Women℉s Business Research, 2008). On the other hand, women comprise only 15.4 percent of corporate officers in Fortune 500 companies (Catalyst, 2007b) and, in 2003, held only 14.8 percent of board seats in the Fortune 500 (Catalyst, 2007a).To better understand the glass ceiling faced by both female entrepreneurs and women leaders, the research on women℉s issues is examined from a number of different vantage points. Women℉s entrepreneurship and women℉s leadership research on leadership, decision-making, and gender differences was examined to discover commonalities. Then female single-sex education literature was reviewed for insights on developmental issues that might influence future women entrepreneurs and leaders. In this exploration of research, it was found that both women entrepreneurs and women leaders in the corporate environment tend toward the same leadership styles and ways of interacting with others; they also experience a lack of role models and possible lack of self-efficacy.The literature on single-sex education provides observations that young women may thrive in environments in which there are fewer male competitors, hold less stereotyped views on gender, hold higher aspirations, may have greater opportunities for training of leadership skills, and may have increased self-confidence that may be the result of exposure to successful women role models. Implications for future research are explored and suggestions are provided to meet the needs of developing women entrepreneurs.
Evangelos Vasileiou, Elroi Hadad and Georgios Melekos
The objective of this paper is to examine the determinants of the Greek house market during the period 2006–2022 using not only economic variables but also behavioral variables…
Abstract
Purpose
The objective of this paper is to examine the determinants of the Greek house market during the period 2006–2022 using not only economic variables but also behavioral variables, taking advantage of available information on the volume of Google searches. In order to quantify the behavioral variables, we implement a Python code using the Pytrends 4.9.2 library.
Design/methodology/approach
In our study, we assert that models relying solely on economic variables, such as GDP growth, mortgage interest rates and inflation, may lack precision compared to those that integrate behavioral indicators. Recognizing the importance of behavioral insights, we incorporate Google Trends data as a key behavioral indicator, aiming to enhance our understanding of market dynamics by capturing online interest in Greek real estate through searches related to house prices, sales and related topics. To quantify our behavioral indicators, we utilize a Python code leveraging Pytrends, enabling us to extract relevant queries for global and local searches. We employ the EGARCH(1,1) model on the Greek house price index, testing several macroeconomic variables alongside our Google Trends indexes to explain housing returns.
Findings
Our findings show that in some cases the relationship between economic variables, such as inflation and mortgage rates, and house prices is not always consistent with the theory because we should highlight the special conditions of the examined country. The country of our sample, Greece, presents the special case of a country with severe sovereign debt issues, which at the same time has the privilege to have a strong currency and the support and the obligations of being an EU/EMU member.
Practical implications
The results suggest that Google Trends can be a valuable tool for academics and practitioners in order to understand what drives house prices. However, further research should be carried out on this topic, for example, causality relationships, to gain deeper insight into the possibilities and limitations of using such tools in analyzing housing market trends.
Originality/value
This is the first paper, to the best of our knowledge, that examines the benefits of Google Trends in studying the Greek house market.
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Keywords
Through the framework of Michael Porterʼs five forces, this article compares sustainability in the Oregon and British Columbia wine industries. After describing the contrasting…
Abstract
Through the framework of Michael Porterʼs five forces, this article compares sustainability in the Oregon and British Columbia wine industries. After describing the contrasting characteristics of the green niche model and the government-led model of environmental change, the article analyzes the emerging challenges for each type of change.The distinct sources for profitability and future innovation suggests diversity within the sustainability movement and two very different processes of translating environmental values into entrepreneurial practice.
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