The study aimed at investigating the factors that lead to successful crowdfunding campaigns in Kenya. The success factors of reward-based crowdfunded campaigns vary in different countries due to differences in cultures, legal requirements, social interactions, political and business environments. With very minimal research on crowdfunding funding in Kenya, the study therefore, aimed at analyzing reward-based crowdfunding in Kenya using Kickstarter data, and identifying the crucial factors necessary to run a successful campaign. To achieve this objective, the study used a multiple regression and Pearson correlations. The study found a statistically significant regression equation hence the regression model was considered a good fit. The study using the Pearson correlations analysis found a very strong and positive statistical correlation between updates, amount pledged, backers, and successful projects, moderate but positive statistical correlation between comments, new backers, returning backers, and successful projects. However, there was a negative but insignificant correlation between the goal, funding period, and successful projects. The novelty will be of great benefit to project funders who want to run successful projects in Kenya. This is because the concept of crowdfunding is still new in Kenya and has not been widely publicized, accepted, or researched. The results of this study will guide potential founders on the do’s and don’ts of running a successful campaign. Finally, the study recommends further research on the success factors of other crowdfunding models in Kenya as the study solely focused on the reward-based model.
The study aimed at investigating the impact of digital financial services on the financial performance of Commercial Banks in Kenya using secondary dataset generated from the Central Bank of Kenya (CBK) and the Communication Authority of Kenya (CAK) for a period of five years (2015-2019). To achieve this objective, the study used a multiple regression and Pearson correlations. The study using the Pearson correlations found negative correlations between mobile money (registered mobile money accounts, active mobile money agents and mobile money deposits and withdrawals), digital payments (P2P transfers) and performance of commercial banks. However, the study found positive and significant relationship between customer deposits, Gross non-performing loans and performance of commercial banks in Kenya. The study therefore concludes that digital financial services offered by Fintech companies have a negative impact on the performance of Commercial banks in Kenya and recommends that commercial banks should continuously develop more digital financial services and collaborate more with Fintech companies to improve on their performance. The originality of this study will be of benefit to managers of Commercial banks. JEL: G21, G23, N27, O30, O31, O39 <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0965/a.php" alt="Hit counter" /></p>
The study is aimed at exploring what influences the amount of money raised which can either lead to the success or failure of equity-based crowdfunding using Crowdcube. The study used Pearson correlations and multiple regression analysis. The regression model was considered a good fit as it was statistically significant. The findings of the paper revealed that the number of investors, target amount, and pre-money valuation strongly and positively influence the success of equity-based crowdfunding campaigns. Additionally, equity, display of share price information, and online social media presence are other factors that influence the success of equity-based crowdfunding campaigns. However, previous crowdfunding history was negatively associated with the success of campaigns. The uniqueness of the study will benefit investors and founders who aim at running or investing in successful equity-based crowdfunding campaigns in the UK and globally. The study recommends further research using other equity-based crowdfunding platforms in different countries and continents.
This paper aims to investigate how digital currencies have caused a drastic evolution, especially in the payment sector. It aims to further studies on how bitcoin is the most conspicuous digital currency and is perceived as disruptive innovation with the potential of replacing fiat currency. The study was employed through a case study to examine whether bitcoins are disruptive innovation or a threat to the Central Banks and Fiat money. The study adopted a mixed approach research design by using qualitative and quantitative research approaches. The literature reviewed journals were published in credible journals in various databases. The Time series analysis approach was used to forecast the future prices of bitcoins. The study used an in-sample and out-of-sample time series forecasting using the Gretl software. The ARIMA (1,2,1) Model was found to be a good fit with 85% accuracy (the Mean Absolute Percentage Error -MAPE was 15%) to forecast the future of bitcoin prices. The outcome of the forecast suggested that bitcoin price will have a gradual but insignificant increase. The results of this study also suggest that bitcoins fail to fulfill the functions of money as a store of value, medium of exchange, and unit of account. This is attributed to high price volatility, lack of centralization, and exposure to hackers and fraudsters. The study further suggests that bitcoins are not disruptive innovations and do not pose any threat to the Central banks and the Fiat currency in the future. The results support that bitcoin can benefit the community as well as attracting investors as a speculative investment mainly because the bitcoins are limited in transactions. The study recommends more research on the potential impact of the Central bank's digital currencies on National and Global currencies particularly because China launched its digital Yuan recently. JEL: G21; E58; E51; 031; C10 <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0790/a.php" alt="Hit counter" /></p>
A jelen tanulmány azt vizsgálja, hogy az összegyűjtött források nagyságát, valamint a Crowdcubeplatformon keresztül történő tulajdonositőke-alapú közösségi finanszírozás sikerét vagy sikertelenségét milyen tényezők befolyásolják. Vizsgálatunkhoz Pearson-féle korrelációt és többszörös regreszsziót használtunk. A statisztikai szignifikancia miatt a regressziós modell jó illeszkedésnek bizonyult. A tanulmány megállapította, hogy a tőkealapú közösségi finanszírozási kampányok kimenetelét a befektetők száma, a célösszeg, valamint a cég befektetés előtti értéke erősen és pozitívan befolyásolja. További befolyásoló tényezőként a tulajdonrész (tőke), a részvényár-információk megjelenítése és a közösségi média jelenléte említhető. A közösségi finanszírozással kapcsolatos előzmény (korábbi részvétel) ugyanakkor a kampányok sikeréhez negatívan kapcsolódott. A tanulmány egyedisége azon vállalkozók (alapítók) és befektetők számára fog segítséget jelenteni, akik sikeres tőkealapú közösségi finanszírozási kampányokat kívánnak folytatni, illetve támogatni az Egyesült Királyságban és a világ más részein. A tanulmány ugyanakkor ajánlást fogalmaz meg más országok és földrészek tőkealapú közösségi finanszírozási platformjainak további vizsgálatára is.
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