Scholars and practitioners continue to recognize the crucial role of entrepreneurial ecosystems (EEs) in creating a conducive environment for productive entrepreneurship. Although EEs are fundamentally interaction systems of hierarchically independent yet mutually dependent actors, few studies have investigated how interactions among ecosystem actors drive the entrepreneurial process. Seeking to address this gap, this paper explores how ecosystem actor interactions influence new ventures in the financial technology (fintech) EE of Singapore. Guided by an EE framework and the use of an exploratory-abductive approach, empirical data from semi-structured interviews is collected and analyzed. The findings reveal four categories representing both the relational perspective, which features interaction and intermediation dynamics, and the cultural perspective, which encompasses ecosystem development and regulatory dynamics. These categories help explain how and why opportunity identification and resource exploitation are accelerated or inhibited for entrepreneurs in fintech EEs. The present study provides valuable contributions to scholars and practitioners interested in EEs and contributes to the academic understanding of the emerging fintech phenomenon.
Despite the importance of service innovation, its effects have been given relatively little explicit attention in the extant literature. Instead, researchers often implicitly assume that firm-level service innovation activities result in a number of positive financial and other effects. This paper conducts a systematic review of literature on the firm-level effects of service innovation and attempts to identify and categorize the effects suggested in the literature. The review reveals a considerable number of potential firm-level service innovation effects that have been discussed in extant research. We suggest that they may be divided into five effect categories: (1) business process effects, (2) capability effects, (3) relationship effects, (4) financial performance effects and (5) competitiveness effects. The findings suggest directions for further research that aims to develop a causal model of service innovation effects.
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