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Firms are driven to maximize profits, requiring specialized techniques to improve performance. Firms can handle chaotic conditions by acting strategically. Global studies show high early-stage SME death rates. Hospitality studies have not examined how lean-green methods boost performance and competitiveness. Lean-green methods affect the entrepreneurial spirit and performance of medium-sized hotels in Kenyan cities. The paper relies on discovery and dynamic capability theory. The article used mixed-methods, concurrent triangulation, and pragmatic philosophy. 534 medium hotel managers in Mombasa, Nairobi, and Kisumu were studied, and 229 were sampled using stratified random sampling. Data was collected by questionnaire and saved in MS Excel for case-variable screening and cleaning. SPSS 22 was used for data analysis. Pearson's correlation and regression models analyzed quantitative data. In Kenyan cities, entrepreneurial attitude positively affects medium hotel performance (=.775, t = 17.499, p.05). Lean-green synergy positively impacted performance (? =.527, t = 12.497, p ?.05) and moderated the connection between entrepreneurial mentality and business performance. The study found that lean-green techniques boost performance. Lean-green production strategies are recommended by the study. These findings benefit hotel entrepreneurs, managers, academia, and legislators. The study proposes studying other industries besides hospitality to see whether comparable findings are found.

Worldwide, startup businesses are essential for any country's economic development. Despite the rapid growth of start-ups, their likelihood of success and viability remain low. This trend is more observed in developing countries due to the low uptake of business incubation services such as Kenya. The aim of the current study was to determine the effect of networking services, physical incubation, and management mentoring on the growth of start-ups in Kenya. The study was based on the social network theory, the theory of the firm, the stochastic theory and the trait theory of entrepreneurship. A cross-sectional research design was used. A sample size of 227 respondents was selected from a total population of 567 respondents using proportionate stratified and simple random sampling techniques. Primary data was collected using a structured questionnaire. The data was analyzed with multiple linear regression with the help of SPSS. The finding of the study indicated that there was a positive and significant effect between networking services, physical incubation infrastructure and management mentoring and growth of startups. The study suggests that startups should join associations like the Associations of Startups and SME Enablers of Kenya and the Association of Countrywide Innovation Hubs to access incubation infrastructure. This will allow access to investor networks, civil society programs, and government agencies, accelerating business growth. Additionally, business incubators can partner with universities for specialized research in areas like health, agriculture, and climate change through the triple helix model.

The study explores the impact of entrepreneurial passion on process innovation and firm performance, based on self-efficacy theory. Relevant hypotheses were proposed, and the promotion mechanism of entrepreneurial passion on process innovation and enterprise performance was analyzed. A survey of 150 Kenyan firm owners/managers was conducted, and the results showed that process innovation has a significant positive effect on performance. Entrepreneurial passion is a significant moderator of the relationship between process innovation and performance, with firms with higher levels of passion achieving greater performance from implementing process innovation. This suggests that entrepreneurial passion can guide entrepreneurial persistence and promote enterprise performance by stimulating positive emotions and creativity. The study suggests that effective management of process innovation can enhance performance and encourage more entrepreneurial behavior in competitive business environments.

This paper aims to develop a critical approach to the conceptualization of start-ups in emerging markets from a Kenyan perspective. This study used a theoretical route to conceptualize start-ups in emerging markets like Kenya. From the findings, it is important to note that the conceptualization of start-up is based on western concepts and might be flawed and poorly applicable to businesses in Kenya. Hence in the Kenyan context, a start-up should be viewed as an innovative business entity, which is scalable and has survived up to 3-5 years. To support the growth of the start-up ecosystem in Kenya, policymakers should promote start-ups through the formation of relevant legislation and provide incentives that stimulate their survival and growth. The study has brought out some interesting findings which can generate more debate. The study used an exploratory research design which is not conclusive in nature therefore future research should consider using a research design that is conclusive in nature and robust.

This study sought to establish the moderating effect of social entrepreneurs’ gender on the contribution of social enterprises to social transformation in Kiambu County, Kenya. The study used a descriptive survey design guided by mixed methods research on 322 sampled social enterprises drawn from a target population of 1944 social enterprises distributed across the 12 sub-counties of Kiambu County. Data were collected using survey questionnaires and interview guide instruments.  A simple random sampling technique was used to get the proportionate sample for each stratum.  In data analysis, both descriptive statistics (mean, percentages, standard deviation and frequencies) and inferential statistics (correlation and regression analysis) were applied. The findings showed the influence of the independent variable on the dependent variable being explained by R of 0.568. The findings also revealed that social entrepreneurs’ gender was likely to have an effect on the relationship between social entrepreneurship and social transformation of R2 = 0.322. By the estimates of the F-test, social entrepreneurship was found to predict social transformation by F (3, 281) = 77.330, p<.05.

The study sought to assess the importance of classifying incubators based on the programs offered for optimum performance. Client selection criteria were assessed through three constructs namely: models that fit program goals, uniqueness of ideas, and standard selection tool. A mixed cross-sectional and causal design was adopted and a census was carried out targeting all the 51 incubators. Primary data was collected with an incubator program as a grouping/ cluster variable yielding a multilevel data structure with incubator centres nested in programs. Linear mixed effect models were fitted using Stata to assess the study objective taking into account the fixed effects for the incubator centre level (level-1) and random effects for the program level (level-2). The uniqueness of ideas was found to have a significant fixed effect on performance at level one while at level two, the study found significant random intercepts of incubator centre performance across the programs. Models that match program goals and standard selection tools were also found to have significant random slopes as level two random covariates in the model. Based on the findings of significant random slopes, the study concluded that incubator classification is key for client selection criteria and enhances incubator performance.

This paper was anchored on a pragmatic research paradigm. The study used a cross-sectional survey where a self-semi structured questionnaire was administered to collect the primary data from the target population who were youth-owned SMEs. The study was limited to 135 youth-owned enterprises where 357 employees were selected randomly to form the study sample; the key respondents of the study were limited to owner-managers of small and micro enterprises and top management employees. The questionnaires were tested for reliability and validity. Data were analyzed using descriptive and inferential statistics. The study revealed that there is a significant relationship between youth-owned. The study revealed that entrepreneurship networking has a significant effect on the performance of the agro-processing SMEs owned by the youths. However, there is a need for SMEs to further establish networks outside their business circle and seek networks with other bigger firms in the market. The study, therefore, recommends that there is a need for SMEs to invest more in social media marketing and networking of the SMEs for improved performance.

Non-Governmental Organizations (NGOs) play a critical role in addressing social ills like poverty, employment, and food insecurity; therefore, their growth prospects enhance their ability to address these social ills. Discovery of entrepreneurial opportunities amongst the agro-based NGOs has not got the desired attention, and it is the least researched area in social entrepreneurship. This study investigated the relationship between Entrepreneurial Opportunity Discovery Dimensions and Growth of Non-Governmental Organizations in Kenya. It employed correlation design and was anchored on the Kirznerian Entrepreneurship Theory. The target population was 135 agro-based NGOs in Kenya. A mixed-method approach was used, combined qualitative and quantitative techniques. Statistical Package for Social Sciences (SPSS) version 21 and Analysis of Moment Structures (AMOS graphic-25) aided in the analysis. Structural Equation Modeling (SEM) using AMOS and Simple linear regression analysis were the primary analysis techniques used to evaluate the relationship between entrepreneurial opportunity discovery dimensions and the growth of NGOs. The results indicated that alertness0.372, p=0.033)and prior knowledge (0.163, p=0.031) have a significant favorable influence on growth, while social networks 0.047, p=0.713) showed an insignificant effect on the growth of NGOs. Investing in acquiring alert individuals and helping them gain relevant knowledge in the 21sttechnologies and emerging issues can lead to increased NGO ability to continue serving the community effectively and be engines of development for the general good of Kenya.

Globally, countries are strategically positioning themselves for market leadership due to dynamic business environment. Entrepreneurial spirit is seen as the strategy that will deliver this agenda.  This spirit, is believed to be behind the innovative business that revolutionizes the business world. In a dynamic and complex environment, the success of any business is pegged on the entrepreneurial operations of a firm.  Entrepreneurial-oriented firms have been proven to be ahead of competition because they are always introduced new products and services and in turn improve their financial results. Scholars believe that learning and development can occur amongst people who actively engage in a common enterprise. This makes learning empowering and productive and thus sustains entrepreneurial orientation. This in turn produces communities of entrepreneurial practice. The role of the entrepreneurial manager is to nurture communities of growth-oriented firms where entrepreneurial learning takes place. The purpose of this study is to assess the relationship between entrepreneurial management and performance of incubator centres in Kenya. The study used a correlation design because it focused on a causal-effect relationship. The study population was 41 incubator managers in Kenya. After missing data analysis two respondents were expunged leaving 39 respondents. Secondary data was obtained from published sources such as company reports, manuals and research done by other scholars. Structural Equation Modelling (SEM) approach was used to analyze the measurement model and test the hypothesized relationship in this study.  Simple linear regression model was used to measure the strength of the relationship between entrepreneurial management and performance incubator centre in Kenya. The joint effect model results indicated that entrepreneurial management had a significant relationship with performance of incubator centre.

Business incubators are regarded as entrepreneurial hubs, unleashing entrepreneur’s ideas and businesses into the market, in turn, jobs are created and the economy of the area is improved. Due to the stiff competition for placement into an incubator program it is imperative for incubator management come-up with strategies of being more efficient and effective in utilizing resources to achieve superior performance. Hence the need to critically select clients, whose ideas fit the incubator’s mission and upon graduation create high growth businesses, with a higher survival rate of 90%. The study is anchored on Resource Based Theory. The study used a correlation design that focused on causal relationship of client selection criteria and incubator centre performance (ICP). The study population was 41 incubator managers in Kenya. After missing data analysis two respondents were expunged leaving 39 respondents. Secondary data was obtained from published sources such as company reports, manuals and research done by other scholars. Structural Equation Modelling (SEM) approach was used to analyze the measurement model and test the hypothesized relationship in this study. Simple linear regression model was used to measure the strength of the relationship between client selection criteria and performance incubator centre in Kenya. The results of the combined effect model indicated that client selection criteria had a significant relationship with performance of incubator centres.