28,417 research outputs found

    Global Employer Forum 2017: FutureWorks - Connecting Leaders & Fresh Thinking

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    We recently held our FutureWorks Global Employer Forum in London to discuss the megatrends that will impact global businesses and the future of work. Together with HR and employment leaders from some of the most innovative companies in the world, as well as leading academics and thinkers, we looked at how global employers can embrace the opportunities and manage the coming shocks. Here we share highlights from our two days together

    Impact Australia: investment for social and economic benefit

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    DEEWR, in collaboration with JBWere, has developed a report that establishes a foundation for understanding impact investing in the Australian context: what it is, why it matters, what is happening here and what could or should happen. The report showcases examples in Australia and internationally of people harnessing capital markets to: support community prosperity; encourage vibrant culture; and contribute new solutions for issues of exclusion and sustainability. This report provides a foundation for understanding impact investing in the Australian context: what it is, why it matters, what is happening here and what could or should happen. It has been informed by insights and experience from the field in Australia that acknowledge the challenges and opportunities ahead and enliven a vision for the future. What if the growing interest, energy, and passion are not harnessed around clear and common purpose? What if there is not sufficient focus and leadership to create the structures to support a coherent body of practice, prioritise activity to demonstrate efficacy and build critical mass? Realising the potential for impact investing is not a given. It is a strategic challenge requiring leadership, collective action and development of practice across sectoral boundaries. A concerted, energetic response to the call to action could deliver significant benefit for Australia and the region; a failure to answer could be a significant opportunity missed. Pursuing innovations for social and economic benefit The distinguishing feature of impact investing is the intention to achieve both a positive social, cultural and/or environmental benefit and some measure of financial return. Financial return distinguishes impact investing from grant funding; intentional design for positive benefit to society distinguishes it from traditional investments. Impact investing has emerged against a backdrop of longer term global trends. Interest and activity are evident and growing across the world. Fundamentally, this is about expanding the total pool of economic and social value, not redistributing what already exists. Impact investment is already having a positive effect globally in catalysing new markets and encouraging entrepreneurship and innovation for the benefit of society. Impact Investing in Australia Impact investing is happening in Australia today, although the term is not yet in mainstream use. Case studies showcasing what impact investing deals in Australia look like and who is participating are included in the report. Even more significant than the innovation and impact evident in the early Australian transactions are indicators of activity from different actors in the market place and across a range of sectors which echo the international developments. Australia has not yet seen a concerted focus on developing the field, yet foundations for increasing the scale and scope of impact investment are in place. International commentators visiting Australia have remarked on the signposts. The potential extends beyond the domestic market, to what can be done from Australia, particularly in the Asian region. The imperative now is to translate interest into action, and fragmented activity into a more coherent practice for impact investing in the Australian context

    The Digitalisation of African Agriculture Report 2018-2019

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    An inclusive, digitally-enabled agricultural transformation could help achieve meaningful livelihood improvements for Africa’s smallholder farmers and pastoralists. It could drive greater engagement in agriculture from women and youth and create employment opportunities along the value chain. At CTA we staked a claim on this power of digitalisation to more systematically transform agriculture early on. Digitalisation, focusing on not individual ICTs but the application of these technologies to entire value chains, is a theme that cuts across all of our work. In youth entrepreneurship, we are fostering a new breed of young ICT ‘agripreneurs’. In climate-smart agriculture multiple projects provide information that can help towards building resilience for smallholder farmers. And in women empowerment we are supporting digital platforms to drive greater inclusion for women entrepreneurs in agricultural value chains

    The Internationalization of Small and Medium Enterprises in Regional and Global Value Chains

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    Production networks and the regional division of labor have been established in East Asia resulting in massive vertical intra-industry trade in parts and components within the region. This phenomenon is known as cross-border production sharing or the fragmentation of production processes into many stages across different countries. New development strategies claim that participation in international production and distribution networks is the key to accelerating economic development in the era of globalization. This process suggests that vertical input-output linkages between local firms and multinational corporations are the most powerful channels to accelerate technology transfers and spillovers. Given the trends of globalization and economic integration in East Asia, there is significant potential for the small and medium enterprise (SME) sector to increase its contribution to the region's development through greater participation in global value chains. However, multiple market failures exist with regard to the development of SMEs and local entrepreneurship. These risks can be mitigated by proper policy measures such as strengthening technological and human resource capabilities through better networking and facilitating access to financing for SMEs. Despite many distortions and inefficiencies in implementing regional economic integration schemes in East Asia, there are many cumulative positive effects contributing to the emerging trend internationalization of SMEs in the region. This process can be significantly strengthened by creating a positive business environment through the standardization of products and services, rules and regulations, and a seamless market infrastructure in the region.internationalization SMEs; regional development policies; regional market failure

    Regulating Data as Property: A New Construct for Moving Forward

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    The global community urgently needs precise, clear rules that define ownership of data and express the attendant rights to license, transfer, use, modify, and destroy digital information assets. In response, this article proposes a new approach for regulating data as an entirely new class of property. Recently, European and Asian public officials and industries have called for data ownership principles to be developed, above and beyond current privacy and data protection laws. In addition, official policy guidances and legal proposals have been published that offer to accelerate realization of a property rights structure for digital information. But how can ownership of digital information be achieved? How can those rights be transferred and enforced? Those calls for data ownership emphasize the impact of ownership on the automotive industry and the vast quantities of operational data which smart automobiles and self-driving vehicles will produce. We looked at how, if at all, the issue was being considered in consumer-facing statements addressing the data being collected by their vehicles. To formulate our proposal, we also considered continued advances in scientific research, quantum mechanics, and quantum computing which confirm that information in any digital or electronic medium is, and always has been, physical, tangible matter. Yet, to date, data regulation has sought to adapt legal constructs for “intangible” intellectual property or to express a series of permissions and constraints tied to specific classifications of data (such as personally identifiable information). We examined legal reforms that were recently approved by the United Nations Commission on International Trade Law to enable transactions involving electronic transferable records, as well as prior reforms adopted in the United States Uniform Commercial Code and Federal law to enable similar transactions involving digital records that were, historically, physical assets (such as promissory notes or chattel paper). Finally, we surveyed prior academic scholarship in the U.S. and Europe to determine if the physical attributes of digital data had been previously considered in the vigorous debates on how to regulate personal information or the extent, if at all, that the solutions developed for transferable records had been considered for larger classes of digital assets. Based on the preceding, we propose that regulation of digital information assets, and clear concepts of ownership, can be built on existing legal constructs that have enabled electronic commercial practices. We propose a property rules construct that clearly defines a right to own digital information arises upon creation (whether by keystroke or machine), and suggest when and how that right attaches to specific data though the exercise of technological controls. This construct will enable faster, better adaptations of new rules for the ever-evolving portfolio of data assets being created around the world. This approach will also create more predictable, scalable, and extensible mechanisms for regulating data and is consistent with, and may improve the exercise and enforcement of, rights regarding personal information. We conclude by highlighting existing technologies and their potential to support this construct and begin an inventory of the steps necessary to further proceed with this process

    Business Models For Transport eBusiness

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    In this paper authors are presenting expectations from electronic commerce and its connotations on transport logistics. Based on trends, the relations between the companies in the international transport have to be strengthened using Internet business models. In the paper authors are investigating e-business information models for usage in transportbusiness models, eBusiness, digital economy, transport

    Forecasting the Electronification of Payments with Learning Curves: The Case of Finland

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    This paper examines the electronification of noncash payments in Finland and the extent to which noncash payment means are used as substitutes for cash. We model the processes of cash substitution and electronification of payments as 'S'-shaped learning curves and generate forecasts by extrapolating these curves. The 'S'-shaped learning curves fit the data well. Our results indicate that in Finland the cash substitution process as a whole is approaching the saturation point. Although the electronification process is clearly ongoing as regards larger-value bill payments, for small-value point-of-sale payments we seem to have reached saturation. Electronification of payments, having progressed swiftly and extensively in Finland, is already beginning to slow down. We conclude the paper with a discussion of the reasons for this turn of events and of the different factors that affect the speed of diffusion of new means of payment.payments; electronification; learning curves

    Transaction Banking: Respecting its role in the real economy. ECRI Policy Brief No. 6, 6 December 2013

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    This paper sketches the main features and issues related to recent market developments in global transaction banking (GTB), particularly in trade finance, cash management and correspondent banking. It describes the basic functioning of the GTB, its interaction with global financial markets and related implications of global regulatory developments such as Basel III. The interest in GTB has recently increased, since its low-risk profile, tendency to follow growth rates worldwide and relative independence from other financial instruments became an interesting diversification opportunity both for banks’ business models and for investors. Transaction banking has been a resilient business during the crisis, despite the reduction in world trade figures. In the post crisis period, GTB must cope with new challenges related to increased local and global regulation and the risk of inconsistency in regulatory approaches, which could negatively impact the global network and increased competition by new market entrants. Increased sophistication of corporate clients, as well as the pressure to develop and adopt technological innovations more quickly than other areas of banking continues to impact the business. The future of the industry closely depends on its ability to adjust to complex regulatory developments while at the same time being able to operate a global and efficient network

    Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed?

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    As a research field, artificial intelligence (AI) exists for several years. More recently, technological breakthroughs, coupled with the fast availability of data, have brought AI closer to commercial use. Internet giants such as Google, Amazon, Apple or Facebook invest significantly into AI, thereby underlining its relevance for business models worldwide. For the highly data driven finance industry, AI is of intensive interest within pilot projects, still, few AI applications have been implemented so far. This study analyzes drivers and inhibitors of a successful AI application in the finance industry based on panel data comprising 22 semi-structured interviews with experts in AI in finance. As theoretical lens, we structured our results using the TOE framework. Guidelines for applying AI successfully reveal AI-specific role models and process competencies as crucial, before trained algorithms will have reached a quality level on which AI applications will operate without human intervention and moral concerns
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