During a survey conducted among marketing professionals from the United States in January 2021, the average contribution of marketing to performance of companies in the education industry was rated at six out of seven, where seven means very high.

This statistic depicts the top obstacles to success as reported by small business in the United States in October 2018. During the survey, 45 percent of respondents stated that generating new business is either moderately or very challenging.

Innovation, selected service industries, by business unit success factors, degree of importance, type of business unit and North American Industry Classification System (NAICS) for Canada, provinces and territories in 2003. (Terminated)

Survey of innovation and business strategy, successful mitigation or use of government support programs to overcome obstacles to innovation, by North American Industry Classification System (NAICS) and enterprise size, all surveyed industries

According to the 2021 entrepreneurial spirit index published by IPSOS, 29 percent of Generation Z were ranked as having a very high entrepreneurial spirit, compared to 36 percent of Millennials, 33 percent of Generation X and 25 percent of Baby Boomers.

This table includes percent of profitable businesses; total revenue, total expenses, and net profit (profitable businesses); total revenue, total expenses, and net loss (non-profitable businesses). All businesses only. Values are averages in current dollars unless otherwise stated.

This study’s aim is to evaluate the Romanian version of the Internet Entrepreneurial Self-Efficacy Scale (IESES), a new assessment scale for online entrepreneurial self-efficacy, and estimate its psychometric properties in a sample of engineering students (N = 644; 317 females). The scale was translated and adapted into Romanian through a forward-backward method. The factorial structure was investigated using Confirmatory Factor Analysis (CFA) and multigroup-CFA for gender invariance. The scale was associated with instruments that measure entrepreneurial intention both traditionally and in the online environment (Individual Entrepreneurial Internet Scale and Entrepreneurial Intention Questionnaire) and components from the Theory of Planned Behavior (attitudes, subjective norms and perceived behavioral control). McDonald’s omega and Cronbach’s alpha coefficients were used to assess reliability. Traditional statistics are complemented by network analysis. Results show that adequate matching items for the 3-factor model and complete gender invariance is maintained. The three factors are associated with the internet and traditional entrepreneurial intention, and the components from the theory of planned behavior (attitudes, subjective norms, and perceived behavioral control). Internal consistency is excellent because α and ω values range between 0.834 and 0.919. In addition, discriminant validity was demonstrated. The network analysis suggests the relevance of technology utilization in the self-efficacy of online businesses in the case of engineering students. Overall, findings enable us to conclude that the Romanian version of the IESES is a valid, accurate instrument that can be implemented to evaluate self-efficacy related to the successful execution of an online business.

This study’s aim is to evaluate the Romanian version of the Internet Entrepreneurial Self-Efficacy Scale (IESES), a new assessment scale for online entrepreneurial self-efficacy, and estimate its psychometric properties in a sample of engineering students (N = 644; 317 females). The scale was translated and adapted into Romanian through a forward-backward method. The factorial structure was investigated using Confirmatory Factor Analysis (CFA) and multigroup-CFA for gender invariance. The scale was associated with instruments that measure entrepreneurial intention both traditionally and in the online environment (Individual Entrepreneurial Internet Scale and Entrepreneurial Intention Questionnaire) and components from the Theory of Planned Behavior (attitudes, subjective norms and perceived behavioral control). McDonald’s omega and Cronbach’s alpha coefficients were used to assess reliability. Traditional statistics are complemented by network analysis. Results show that adequate matching items for the 3-factor model and complete gender invariance is maintained. The three factors are associated with the internet and traditional entrepreneurial intention, and the components from the theory of planned behavior (attitudes, subjective norms, and perceived behavioral control). Internal consistency is excellent because α and ω values range between 0.834 and 0.919. In addition, discriminant validity was demonstrated. The network analysis suggests the relevance of technology utilization in the self-efficacy of online businesses in the case of engineering students. Overall, findings enable us to conclude that the Romanian version of the IESES is a valid, accurate instrument that can be implemented to evaluate self-efficacy related to the successful execution of an online business.

Discover the largest companies in the Preparations Used In Animal Feeding industry in the United States, their business strategies, and how they achieve success. Read on to learn more.

The Amazon Freight Partner program offers aspiring entrepreneurs the chance to succeed in the trucking industry with low start-up costs and comprehensive training, fostering a diverse and inclusive business environment.

Learn about the most successful companies in the global meat and poultry market and their winning business strategies. Find out how IndexBox market intelligence platform can help you stay ahead of the competition

Annual data on births, deaths and survival of businesses in the UK, by geographical area and Standard Industrial Classification 2007: SIC 2007 groups.

In 2023, the Mészáros group was the most successful family business in Hungary with an estimated value of 526 billion forints. It was followed by MPF Holding with an estimated value of 408 billion forints.

The home cleaning franchise market is experiencing robust growth, driven by increasing disposable incomes, busy lifestyles, and a growing preference for convenient and professional cleaning services. The market, estimated at $50 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 5% from 2025 to 2033, reaching approximately $70 billion by 2033. This growth is fueled by several key factors. The rise of dual-income households and time-constrained consumers are increasing the demand for outsourced cleaning services. Furthermore, technological advancements, such as smart cleaning tools and specialized cleaning solutions, are enhancing service efficiency and appeal. The market segmentation reveals strong demand across various applications, including interior (floor and wall cleaning) and exterior (garden and garage cleaning) services, with significant revenue contribution from both residential and commercial clients. The market caters to a diverse range of budgets, with franchise opportunities available across various price points – under $10,000, $10,000-$50,000, and above $50,000. Geographic expansion is also a significant growth driver, with North America and Europe currently holding the largest market share, but strong potential emerging in Asia Pacific and other developing regions. However, the market faces certain restraints. Competition from independent cleaning services and the impact of economic downturns on consumer spending are potential challenges. Maintaining consistent service quality and franchisee satisfaction are also critical for long-term success within the industry. To overcome these challenges, franchise businesses need to focus on strategic marketing, technological integration, and strong customer relationship management to enhance their brand reputation and differentiate themselves in a competitive market. The robust growth prospects, however, outweigh these challenges, indicating a promising outlook for the home cleaning franchise sector in the coming years. Further growth is anticipated through strategic acquisitions, expansion into niche markets (e.g., eco-friendly cleaning), and the adoption of innovative business models, such as subscription-based services.

In the second quarter of 2024, 61 percent of surveyed small business owners indicated that the health of their business was in good shape. A further 24 percent of respondents said the health of their business was about average. At the end of 2019, small businesses in "very good" health peaked at 43 percent. By the end of 2020, this number fell to 25 percent in the wake of the COVID-19 pandemic.

Around 28.3 percent of German startups were in the information and communication technology industry. The source defines startups as being younger than ten years, highly innovative in terms of technology and/ or their business model, aiming for significant growth in revenue and employee numbers. The start-up scene German states varied in their startup density. Based on recent data, Berlin had the highest number of startups on its territory, followed by North Rhine-Westphalia and Bavaria. The most money was invested in software and analytics, at over 3.2 billion euros. Recently, investment volume in German startups saw a drastic increase but 2022 saw a decrease compared to the previous year. While information and communication technology was booming as far as startups were concerned, fintech is another area that has seen success in Germany. Female entrepeneurs Unfortunately, Germany did not fare well when looking at male and female entrepreneur numbers. In fact, European countries generally disappointed. Germany had a 7.1 percent rate of female entrepreneurship, followed by Poland with 1.6 percent.

In a 2020 survey of small business owners in the United States, 33 percent of respondents said that they considered their website as a most successful marketing channels. According to 70 percent of survey participants, social media were the most effective marketing tool.

This statistic shows changes in the composition of new entrepreneurs in the United States as of April 2022, by age. In 2022, about 6 percent of entrepreneurs in the United States were aged between 20 and 30 years.

In 2021, about 6.27 million small business firms with employees were counted in the United States. That same year, there were around 28 million non-employer small businesses.

According to a global executive survey, thirty-three percent of respondents from the auto industry prioritize business model innovation - in contrast, only five percent of media business leaders view it as a top three priority. Companies that are more advanced in innovation are more likely to prioritize business model innovation higher.