The relationship between IC and BM has been quite neglected by the literature, or at least it leaves room for further research lines. Results show that most of the studies conducted to date are focused on the aspects of value creation and value capture, with a primary focus on investigating the relationship between IC and firms' performances (e.g. Then, a content analysis was performed to aggregate and systematize the results and identify future lines of research. First, a bibliometric analysis was conducted to evaluate what is the current trend of such publications and what are the most relevant articles, authors, countries and journals. This study answers these questions through a systematic literature review (SLR) of 74 peer-reviewed articles in the area of business and management. However, its intersections with the business model (BM) remain an under-investigated topic, and the authors wanted to investigate two research questions (RQs): how the literature addressing IC and BM has evolved so far in the business and management domains? What are possible future research trends of business and management studies regarding IC and BM? In the last decades, business and management scholars have given great attention to intellectual capital (IC), which could seem a mature topic, having arrived at its third wave of studies. The results of this study provide useful information for the banking industry, FinTech lending and regulators to be able to develop strategies and effective policies amid the potential of customer switching In addition, Islamic banking customers are known to have higher potential to switch to the financing services of FinTech lending. Meanwhile, in the perspective of mooring effects, the factors of service products and reputation significantly affect switching intentions so as to impede them to switch. In the perspective of pull effects, ease of use and pricing benefit factors of FinTech lending have significant effect on switching intentions so that it attracts them to switch. The results showed that in the perspective of push effects, all factors have no significant effect on switching intentions or in other words the millennial banking customers have considered that credit/financing services in banking is quite good that it does not encourage them to switch. 245 primary data were collected by Likert 5 scale category which was subsequently conducted data analysis using the OLS method.
The purpose of this study is to analyze of switching intentions among millennial banking customers to the financing services of FinTech lending in Indonesia using the PPM framework. This study is exploratory, so it offers empirical data that can be useful in the development of theories that apply to the sector. Based on this analysis, the trends in this sector can be identified. These factors explain the differences in the market position of different platforms. It analyses the competitive market of the crowdlending sector based on its actors and key factors. This paper offers the first analysis of market leadership in the crowdlending sector. To become leaders and to attract both lenders and borrowers, platforms are encouraged to improve the information that they provide. Changes in the sector are expected in the coming years due to the rise of platforms with a moderate amount of lending and solid year-on-year improvement. Small and medium-sized platforms are pushing hard and may overtake the incumbents as market leaders.įinancial intermediation through crowdlending is becoming an increasingly popular alternative to traditional models. The leaders in terms of lending volumes should not take their current situation for granted. This method reveals the key variables in the identification of market leaders, namely year-on-year variation in the number of investors and year-on-year variation in lending per investor. Mintos, Evoestate, Peerberry, Bondster and Fellow Finance are the leading platforms. The information provided by these indicators is aggregated using a synthetic indicator based on the P 2 Distance (DP2) method. The study examines 17 crowdlending platforms and eight performance indicators. A synthetic DP2 indicator is proposed to identify the leaders of the crowdlending market, the key factors behind their success and the medium-term competitive implications.
This study contributes to the limited literature on crowdlending by providing a data-driven analysis of the sector.
0 kommentar(er)
