Investigation the Place of BIAN Standard in Digital Banking Enterprise Architecture

Today organizations encounter many issues such as newfound technologies, new business models, and rapid variations. Nowadays, following evolutions in the global context, caused by information and communication technology in the field of trade, industry, and specifically information technology, has impelled organizations, companies, and particularly banks to undergo changes and alter their reaction method to the market. In this way, the role of enterprise architecture and using standards and reference models are crucial to the organizations. Accordingly, the organization that wants to be active in the digital transformation and move towards digital banking should be able to implement an agile enterprise architecture and use reference models such as BIAN. The objective of this article is to investigate the role of Business Architecture Industry Network (BIAN) Standard in moving towards digital banking.

Socio-Economic Impact of the Covid-19 Pandemic in the U.S

This paper proposes a dynamic cascade model to investigate the systemic risk posed by sector-level industries within the U.S. inter-industry network. We then use this model to study the effect of the disruptions presented by Covid-19 on the U.S. economy. We construct a weighted digraph G = (V,E,W) using the industry-by-industry total requirements table for 2018, provided by the Bureau of Economic Analysis (BEA). We impose an initial shock that disrupts the production capacity of one or more industries, and we calculate the propagation of production shortages with a modified Cobb–Douglas production function. For the Covid-19 case, we model the initial shock based on the loss of labor between March and April 2020 as reported by the Bureau of Labor Statistics (BLS). The industries within the network are assigned a resilience that determines the ability of an industry to absorb input losses, such that if the rate of input loss exceeds the resilience, the industry fails, and its outputs go to zero. We observed a critical resilience, such that, below this critical value, the network experienced a catastrophic cascade resulting in total network collapse. Lastly, we model the economic recovery from June 2020 through March 2021 using BLS data.

How Does Network Structure Impact Follow-On Financing through Syndication? Evidence from the Renewable Energy Industry

Venture capital (VC) is a critical source of finance for renewable energy ventures. Importantly, VC investments are made in rounds. In higher rounds: (1) the availability of capital drops—we find that less than 50% of renewable energy ventures receive “follow-on” financing—and (2) the rate at which VC firms co-invest increases—we find that 75% of “follow-on” investments are “syndicated”, co-investments. We argue that the way in which VC firms co-invest—in terms of how and to whom they are connected—is critical to understanding which projects are financed. Using data on 760 firm-deal observations, we examine how the VC firm’s direct ties (ego network) create trust (which we measure using the clustering coefficient) and improve access (structural holes) to important investment information. We consider too how the “small-world” nature of the global VC industry network (small-world quotient) improves “information reachability”. Finally, we consider the way in which these features interact with each other—specifically, when they can be substitutes and when they are complements—in explaining which projects do and do not receive follow-on financing through syndication. We conclude by reflecting on the implications of our findings for VC syndication and sustainable entrepreneurship in the renewable energy industry.

Research on the Value Optimization of Online Education Platform in Universities

As China has gradually entered the network information society, all walks of life have been rapidly developed. In the education industry, network information technology has promoted the emergence of online education platforms. This is a new teaching method that has attracted the attention and recognition of the majority of teachers and students who have profited from its advantages of abundant resources, quick start, and convenience. By analyzing the connotation and management mode of online education platform, the application strategies of online education platform in colleges and universities are discussed.

Network Cliques and Organizational level of Influence among Managers: A Social Network Analysis

Responding to demands for transformed networking practices requires new forms of knowledge. Given their scale and complexity, networking problems can no longer be solved by way of extending intermediaries. Recent research on alternative approaches has focused on the understanding network structures formed by interactions between heterogeneous actors. Rather than linear extensions, network theory highlights cliques structure as a major determinant of performance derives largely from the frequent finding that managers that are embedded with influential connections are at increased likelihood of becoming influential themselves thus opening rooms for new knowledge and innovative technology and practices. It is suggested that the strong and consistent cliques are at least partially responsible to managing network complexity. This paper contributes to our understanding of such facilitation by investigating the networks in which managers exchange information. We report findings based on the study of managers in a maritime industry. Network surveys identified who the managers contacted for inputs and who they had talked to about the information by 6 months earlier. Snow-balling interviews collected farmer statements about their most valuable contacts and these statements have been analysed. The network analysis shows that managers with densely tied and occupationally homogeneous contacts grew their networks more than did managers with contacts that are loosely tied and diverse. The network analysis reveals an important principle: managers’s value knowledge delivered by persons of homogenous connections rather distance ones. It is argued that social network analysis is an appropriate method for studying influence development use in the context of networked organizations.