In a global 2019 survey, ** percent of respondents worldwide expected social enterprise to be more important to their organization in three years time than it is today. This compares to only **** percent who thought it would be less important. Social enterprise refers to an organization combining revenue growth and profit-making with the need to respect and support its environment and broad stakeholder network.

Abstract Research on social entrepreneurship still lacks theoretical depth, as well as the analysis of the antecedents that lead to the emergence of social enterprises. Seeking to advance such discussion, this paper aims to analyze if and how the conceptual model for analysis of social entrepreneurship antecedents proposed by Jiao in 2011 is empirically supported. Thus, semi-structured interviews with ten Brazilian social entrepreneurs were conducted. From the results, the existence of a new antecedent not described in the conceptual model developed by Jiao was identified, and a framework for analysis of the antecedents that lead to the emergence of social enterprises is being proposed in this paper. The framework elaborated from cases present in an emerging economy that has several social problems also points to analytical inconsistencies in Jiao’s model. Besides allowing the theoretical advance about the initial stage of social enterprises formation, this paper also contributes presenting relations that help minimize the theoretical misunderstanding about the conceptualization of social entrepreneurship, generating a clarified definition. In addition, an agenda with directions for future research on social enterprises and social entrepreneurship is proposed.

This collection contains anonymized survey data collected from 1350 responding Social Enterprises in all Canadian provinces and territories, with the exception of Quebec. The surveys were conducted in 2014 and 2015. For the purposes of these surveys, social enterprises were defined as follows: "A social enterprise is a business venture owned or operated by a non-profit organization that sells goods or provides services in the market for the purpose of creating a blended return on investment, both financial and social/environmental/cultural". The purpose of the surveys, and of making the data available, is to support the development of the social enterprise sector in Canada by highlighting the size, scope and impact of social enterprises. Funding for the surveys has included the Social Sciences and Humanities Research Council, the Institute for Community Prosperity, Mount Royal University, Enterprising Non-Profits Canada, the TRICO Foundation of Calgary, and Employment and Social Development Canada, and generous local sponsors and supporters. These surveys have been undertaken with the tremendous support, dedication and enthusiasm of provincial umbrella groups that want to see social enterprises develop and flourish in Canada. Without these organizations this initiative would not have been possible. The collections consists of 11 SPSS-format Data Files, 11 excel-format Variable Keys and 10 pdf-format Questionnaires. Geographical information for each individual file can be found in item_metadata.csv. The researchers who created this dataset would be pleased to hear from you and how you have used this data (pvhall@sfu.ca and pelson@uvic.ca). Software used was SPSS. Confidentiality declaration: Use of this anonymized survey microdata has been approved by the SFU Research Ethics Board. Survey respondents were assured that their names would be kept confidential, as would the individual answers they provide. Hence all identifying variables, as well as open-response text fields and almost all financial data (except total revenue and expense) have been deleted. This dataset was originally deposited in the Simon Fraser University institutional repository.

Introduction

Social Media for Business Statistics: In recent years, social media has become a powerful tool for global businesses. Whether it’s a small local business or a large brand, social media platforms help gain customers, build trust, and grow your online presence. Almost every Social media platform, such as Facebook, Instagram, WhatsApp, and LinkedIn, has billions of active users. Thus, businesses have an unparalleled opportunity to promote their products, share updates, and engage with their audience in real-time.

This article examines several statistical analyses that demonstrate how these social platforms are enabling businesses to succeed and remain competitive in a rapidly evolving digital market.

According to a 2019 survey, 32 percent of organization who identify as an industry leader in terms of their maturity as a social enterprise grew by more than 10 percent in 2019 compared to 2018. This compares to 26 percent of organizations for whom being a social enterprise is not a priority. A social enterprise is an organization combining revenue growth and profit-making with the need to respect and support its environment and broad stakeholder network.

About 40 percent of respondents saw the recruitment of staff or volunteers as their enterprises' greatest obstacle to growth in 2019. Other barriers to growth for Vietnamese social enterprises include cash flow and shortage of business skills, each amounting to a 35 percent share of respondents.

This is the full data set of what was published on the 25th of September, 2018

Abstract The text aims to highlight different attributes related to the concept of social enterprise, to contribute to the specification of possible uses. It starts from the following question: what notions qualify the variety of meanings attributed to practices linked to the expression social enterprise? The notion of social enterprise derives from the questioning about the limits of exclusively economic, monetary-based initiatives, regarding the capacity to respond to social demands, it represents, to a certain extent, the resurgence of experiences that mobilize varied purposes between economic and social logic. However, the extension of the notion of social enterprises in the world has been open to different and even conflicting interpretations, between an Anglo-Saxon version, a classic European version and a Latin American and a renewed European version (Laville, Young & Eynaud, 2014). It is under such bias that the term may occur, in different contexts, as social business, third sector, social economy or solidarity economy, as we have pointed out here.

Of the social enterprises in the Netherlands, around half employed between *** and **** full time equivelent employees in 2021. By comparison, only ***** percent of the social enterprises had *** or more that year.

This dataset includes additional information on the systematic literature review "Pathways to social value and social change: An integrative review of the social entrepreneurship literature"

Snapshot img

Social Business Intelligence Market Size 2025-2029

The social business intelligence market size is forecast to increase by USD 6.66 billion, at a CAGR of 6% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing importance of brand loyalty and the ability to harness insights from social media analytics. Businesses are recognizing the value of understanding customer sentiment and behavior through social media channels, enabling them to improve brand loyalty and engage more effectively with their audience. Additionally, advanced targeting options offered by social media platforms allow for more precise marketing efforts, increasing the potential return on investment. However, challenges persist in the form of increasing connection and bandwidth difficulties, which can hinder the collection and analysis of real-time social data. Companies seeking to capitalize on the opportunities presented by the market must invest in robust technology solutions to address these challenges and remain competitive. By leveraging advanced analytics tools and effective social media strategies, businesses can gain a deeper understanding of their customers and stay ahead of industry trends.

What will be the Size of the Social Business Intelligence Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, shaped by the dynamic interplay of various entities and trends. Social media governance is a crucial aspect, ensuring compliance with regulations and ethical standards. Social media research uncovers valuable insights, informing strategy and optimization. Social media platforms serve as fertile ground for storytelling, segmentation, and influencer engagement. Social media optimization seeks to enhance reach and ROI, while social media automation streamlines processes. Brand monitoring is essential for maintaining a strong online presence, with sentiment analysis providing valuable feedback. Social media engagement fosters customer loyalty and advocacy. Ethical considerations are increasingly important in social media marketing and advertising. Social media intelligence gathers and analyzes data, offering actionable insights. Social media insights fuel personalization, enhancing user experiences. Trends in social media measurement, reporting, and targeting continue to evolve, with social media dashboards and analytics tools playing a key role. The social business intelligence landscape is characterized by continuous change, with entities and trends intertwining and unfolding in intricate ways. Social media data fuels this dynamic ecosystem, driving innovation and growth.

How is this Social Business Intelligence Industry segmented?

The social business intelligence industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. DeploymentOn-premisesCloudEnd-userEnterprisesGovernmentApplicationSales and marketing managementCustomer engagement and analysisCompetitive intelligenceRisk and compliance managementAsset and inventory managementGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW).

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.The social media landscape is a dynamic and intricate ecosystem, where businesses harness data from various social media platforms for optimization, ROI assessment, storytelling, segmentation, and influencer identification. Social listening and engagement are crucial for maintaining compliance and fostering customer relationships. Ethics and governance are integral to social media strategy, ensuring research, personalization, and measurement are executed responsibly. Automation and intelligence facilitate insights into trends and sentiment analysis, enabling targeted reporting and customer feedback analysis. Marketers leverage social media marketing and advertising to expand reach and enhance brand monitoring. Despite the advantages of cloud-based deployment, many businesses prefer on-premises solutions for data security and control, as they offer dedicated servers and restricted access. Social media insights drive innovation and growth, making this market a vital area for businesses to explore.

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The On-premises segment was valued at USD 9.32 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 36% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional tren

Social welfare statistics_ related business annual statistical data is presented on the [Department of Social Affairs Statistical Data Related Business Annual Statistics] website.

Ethical Clearance reference number: 2020FOBREC799The aim of the study is to explore the role of social entrepreneurship in promoting economic development of underserved communities in Cape Town, South Africa.The researcher made use of a semi-structured interviews through an interview guide (Appendix C) to collect primary data. Using this method allowed for a better understanding of participants’ views on the research topic. The interview guide assisted in planning the interview questions and as a tool to engage with participants during the research. 15 Participants were selected to take part

Survey outcomes show that as of 2019, the goals of social enterprises in the Netherlands were varied and distributed across a number of impact areas, including wellbeing, international development and environment. Just over ** percent of enterprises considered indicated that their primary focus was circular and sustainable production, while ***** percent were primarily concerned with improving social cohesion.

Rural social enterprises are organizations that utilize market-oriented strategies to fulfill social objectives within regional and rural settings, particularly in addressing persistent issues like poverty and inequality. Their performance is inadequately researched in the rural context, particularly in developing countries where their contributions to overcoming intractable challenges are most needed. This study contributes to addressing these research gaps by developing a model for assessing internal critical success factors (CSFs) that influence social enterprise performance, and testing it in an empirical investigation of the influence of selected CSFs – entrepreneurial orientation, social salience and business planning on the performance of rural social enterprises. A survey of 521 Ugandan rural social enterprises provided data which was analysed using structural equation modelling and importance performance map analysis. Results reveal that entrepreneurial orientation and business planning are critical to rural social enterprises’ performance, and that business planning mediates the relationship between entrepreneurial orientation and performance. For practitioners and policymakers, these findings suggest that entrepreneurial orientation, social salience, and business planning are critical to the performance of rural social enterprises. Further, findings support rural social enterprises’ use of their entrepreneurial orientation to improve financial performance while also advocating for and increasing social performance. We advance social entrepreneurship research by employing the CSF concept in conjunction with other frameworks, and by developing and quantitatively validating a concise model consisting of internal CSFs based on measurement scales. We assess the psychometric properties of these scales and analyse their influence on the performance of rural social enterprises. These findings provide direction for rural social enterprise scholars, practitioners, advocates, and policymakers.

Social Business Intelligence (BI) Market Outlook

The global Social Business Intelligence (BI) market is set to witness significant growth, with the market size expected to surpass USD 15.2 billion by 2023 and projected to reach approximately USD 35.8 billion by 2032, reflecting a robust CAGR of 9.8% throughout the forecast period. This impressive growth is primarily driven by the increasing adoption of data-driven decision-making processes across various industries, fueled by the rapid advancements in artificial intelligence and machine learning technologies. Moreover, the integration of social media analytics into business intelligence solutions is offering new avenues for organizations to glean actionable insights, thereby boosting the overall demand for social BI solutions.

One of the key growth factors propelling the Social BI market is the surge in social media usage across the globe. Businesses are leveraging data from platforms like Facebook, Twitter, and LinkedIn to gain insights into consumer behavior, preferences, and trends, which are invaluable for strategic planning. The ability of Social BI tools to analyze unstructured data from social media and transform it into structured, actionable insights is empowering businesses to enhance their customer engagement strategies, optimize marketing campaigns, and stay ahead in the competitive landscape. This increased focus on customer-centric approaches and personalized marketing is expected to significantly contribute to market growth.

Another major driver is the growing need for real-time analytics in business operations. In today's fast-paced world, organizations are increasingly reliant on the ability to make quick and informed decisions. Social BI solutions provide real-time data analytics capabilities that enable businesses to monitor and respond to social media trends as they occur. This real-time insight is crucial for mitigating risks, managing brand reputation, and maintaining a competitive edge. Furthermore, advancements in cloud computing have facilitated the deployment of social BI solutions, making them more accessible and scalable, thus further propelling market expansion.

The increasing integration of AI and machine learning technologies into Social BI solutions is also a significant growth factor. These advanced technologies enhance the capabilities of BI tools by enabling more sophisticated data analysis and predictive analytics. This integration allows businesses to anticipate market trends, automate data processing, and generate deeper insights from complex datasets. As a result, companies are increasingly investing in Social BI solutions to harness the power of AI-driven analytics for strategic decision-making, leading to a substantial increase in market demand.

Regionally, North America is expected to dominate the Social BI market due to the early adoption of advanced technologies and the presence of major industry players in the region. The Asia Pacific region, however, is projected to witness the highest growth rate during the forecast period. This can be attributed to the rapid digital transformation, increasing social media penetration, and growing adoption of cloud-based solutions in countries like China, India, and Japan. The region's robust economic growth and expanding IT infrastructure further contribute to the market's potential in Asia Pacific.

Component Analysis

In the Social BI market, the component segment is primarily divided into software and services. The software component is expected to hold the largest market share, driven by the increasing demand for advanced analytical tools that can harness data from social media platforms. Social BI software solutions offer a wide range of functionalities, including data visualization, dashboard creation, and predictive analytics, which are essential for businesses to interpret and act upon social data effectively. The growing emphasis on digital transformation across industries has led to a surge in demand for comprehensive software solutions that facilitate seamless integration with existing business processes.

On the other hand, the services segment, which includes consulting, implementation, training, and support services, is anticipated to grow at a significant rate. As organizations increasingly adopt Social BI tools, the need for expert guidance in selecting the right solutions and optimizing their implementation becomes critical. Service providers play a vital role in ensuring that businesses can fully leverage the benefits of Social BI technologies, leading to increased demand for professional services. Furth

Financial overview and grant giving statistics of Samministries Social Enterprises Inc

Final Performance Evaluation of the USAID/Jamaica Social Enterprise Boost Initiative (SEBI) The purpose of this evaluation of the Social Enterprise Boost Initiative (SEBI) is to determine whether the SEBI activity achieved its objectives and gain lessons for implementation of ongoing or future programs. The evaluation sought to identify: 1) implementation challenges, corrective actions to project management, and progress towards achieving expected results; 2) the factors that contributed to the success/failure of the different project components; 3) the effect of the activity on men and women; and 4) the extent to which SEBI contributed to the local social enterprise (SE) policy environment. The evaluation will serve to inform the United States Agency for International Development Jamaica Mission’s (USAID/Jamaica) Local Partner Development (LPD) program under the Caribbean Basin Security Initiative (CBSI) as well as the Social Enterprise Jamaica (SEJA), which is in the process of being registered as a non-governmental organization (NGO), with a view to continuing some of the work of SEBI once the project ends in December 2018. The exact nature of SEJA’s activities is unclear, although the Evaluation Team (ET) understands that the focus could primarily be on incubation services for SEs under the LPD program. SEBI was initiated by the Jamaica National Foundation (JNF) and jointly funded by JNF and USAID. The rationale for USAID’s decision to support SEBI in Jamaica, implemented by (JNF), was based on several important factors at the time, namely: 1) low levels of business competitiveness and productivity; 2) a stagnant economy; 3) a high debt burden; and 4) high levels of crime in the country. The genesis of SEBI was in JNF’s observation that not-for-profit and other organizations operating in the social sector were struggling to deliver their core services mainly due to a reliance on grants and donations. The underlying goal therefore was to introduce the social enterprise model to these organizations so that they could start generating their own income and become less reliant on grants and donations. SEBI began in July 2012 and is due for completion at the end of December 2018, following three extensions agreed in Modifications 2, 3, and 5 in the Cooperative Agreement (CA). The ET pursued three separate, yet interlinked, data collection activities that formed the basis of its methodological approach to conducting the SEBI evaluation as follows: 1. Face-to-face meetings on site with SEBI’s incubator and accelerator beneficiary clients as well as representatives from key stakeholders, including national and local government, the private sector, international community, civil society, NGOs, and business associations and agencies. In total, the ET met with 29 beneficiaries (20 incubators and 13 accelerators) and 30 stakeholders. Team members used semi-structured questionnaires to record answers for later comparative analysis and cross-reference purposes with findings from the other data collection methods, mentioned below. 2. The ET hosted four focus group discussions (FGDs) in the parishes (Trelawny, St. James, Westmoreland and Manchester) and one in Kingston with selected groups of SEBI indirect beneficiaries. In total, 31 participants attended the FGDs, providing views and responses to questions which were noted for later cross-referencing with findings from the direct beneficiary and public awareness surveys. 3. Two surveys were carried out by Market Research Services Limited (MRSL), based in Kingston, on behalf of the ET (see Annex 6 – Survey Reports for complete analysis of the findings from both surveys).

According to a survey among Vietnamese social enterprises, 60 percent stated that creating employment opportunities, including for members, was one of their objectives. Improving a particular community was the second most common objective at 55 percent.

In a survey among Vietnamese social enterprises, 40 percent of the responding organizations had a turnover of less than one billion Vietnamese dong in the previous financial year. According to the survey, 64 percent of surveyed social enterprises made a profit/surplus in the last year.