Relevant bibliographies by topics / Global market identification

Academic literature on the topic 'Global market identification'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Global market identification"

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Karkowska, Renata, and Igor Kravchuk. "Identification of global systemically important stock exchanges." Equilibrium 14, no. 1 (March 31, 2019): 31–51. http://dx.doi.org/10.24136/eq.2019.002.

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Research background: Increased regulations reducing systemic risk are essentially underpinned by the understanding of the global nature and sources of instability of the financial system. In the economic literature, there are many arguments presented by critical supporters and opponents of measuring and reporting global systemically important entities. Purpose of the article: In response to the requirements of regulators, the article seeks to identify systematically important regulated stock markets for selected global stock exchanges by developing a composite ratio. Additionally, it provides empirical evidence concerning their risk exploration. Methods: The proposed method uses weighted average values of indicators grouped in four categories: (1) market size, (2) cross-jurisdictional activity and interconnectedness, (3) substitutability, (4) complexity. The research covers stock exchanges, reported to WFE, spanning the period 2008–2017. Findings & Value added: The study finds that the problem of systemic risk on global stock exchanges is growing despite numerous prudential regulations. In order to obtain a more complete assessment of market systemic sensitivity, regulators should take into account a wider range of indicators and calculations such as cross-jurisdictional activity and market complexity.
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Kozmenko, Olga, and Olha Kuzmenko. "Cognitive modeling of reinsurance flows on the global reinsurance market." Geopolitics under Globalization 1, no. 1 (March 16, 2016): 5–11. http://dx.doi.org/10.21511/gg.01(1).2017.01.

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The article studies one of the areas of the world globalization processes – formation, interaction and regulation of financial flows of world reinsurers. Mathematical formalization of the relationships of countries’ reinsurance flows is proposed to be built on the basis of cognitive maps and correlation analysis. Identification of relevant areas of global reinsurers’ development is conducted on the basis of indicators of consonances of mutual influence, interaction and centralization.
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Aleknevičiūtė, Eglė. "GLOBAL FACTORS INFLUENCING GOVERNMENT BOND MARKET COMOVEMENTS." Science and Studies of Accounting and Finance: Problems and Perspectives 10, no. 1 (November 25, 2016): 1–7. http://dx.doi.org/10.15544/ssaf.2016.01.

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The aim of this theoretical paper is to discuss the researches implemented in government bond and other financial markets, and to identify the most important global factors, influencing government bond market comovements. Even though, there exist various groups of factors, influencing government bond markets, this research is concentrated in the existence of global factors. If the influence of these factors is significant, investors cannot hedge from this influence by diversifying. The research in this paper is implemented by using the analysis, synthesis and systemization of the researches and other scientific literature. This research uses a novel approach by excluding and the most common global factors, influencing government bond market comovements and discussing the measures to assess the influence of these factors on the comovements. The research resulted in identification of 5 global factors, most commonly disclosed by other researchers as influencing government bond market comovements: global risk aversion, global market portfolio, money market uncertainty, commodity market uncertainty and economic policy uncertainty, with the most important factor being global risk aversion. The existence of these factors reduces the benefits from international diversification: if the markets are strongly influence by the same global factors, the deterioration of these factors will influence the investment portfolio in the same way.
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Mallery, Mary. "Scholarly Identification Systems in a Global Market: The ORCID Solution." International Information & Library Review 48, no. 4 (October 2016): 269–73. http://dx.doi.org/10.1080/10572317.2016.1243962.

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Dombrovska, Svitlana, Viktoriia Shvedun, Volodymyr Streltsov, and Kyrylo Husarov. "The prospects of integration of the advertising market of Ukraine into the global advertising business." Problems and Perspectives in Management 16, no. 2 (June 11, 2018): 321–30. http://dx.doi.org/10.21511/ppm.16(2).2018.29.

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Advertising expands and improves sales channels, accelerates money turnover, thereby increasing overall effectiveness of functioning of national economy and its integration into the world economy in general. The analysis of the current trends and future prospects of management of the advertising market of Ukraine at the world level is carried out in the article. In particular, the analysis of the current structure of the world advertising market is made. The assessment of retrospective tendencies of development of the advertising and communication market of Ukraine is carried out. The identification of perspective volumes of the advertising market of Ukraine is made. The forecast of perspective volumes of the advertising market of Ukraine within the next three years is made. In general, the given research allows to allocate problems of the modern advertising market of Ukraine and offers the ways of improvement of the state advertising policy of Ukraine.
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Masiero, Gilmar, Mario Henrique Ogasavara, and Marcelo Luiz Risso. "Going global in groups: a relevant market entry strategy?" Review of International Business and Strategy 27, no. 1 (March 6, 2017): 93–111. http://dx.doi.org/10.1108/ribs-11-2016-0067.

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Purpose The purpose of this paper is to identify whether the new Chinese phenomenon of going global in groups represents a more advantageous market entry mode than the phenomena considered in previous studies. Design/methodology/approach In this empirical research paper, the authors draw upon the literature in academic journals and books regarding the Chinese special economic zones overseas to analyze and compare collective internationalization (i.e. going global in groups) with traditional market entry modes as per the ownership, location and internalization paradigm (OLI) and transaction cost approach (TCA). Findings The authors identified that financial and diplomatic support provided by the Chinese Government has reinforced internationalization in groups, thereby minimizing some structural risks in host countries. Pre-operational and operating costs have been lowered or shared among group members, and weighted average cost of capital has dropped due to the availability of specific funding lines with subsidized interest rates. Research limitations/implications Given the lack of available literature on the topic, the authors based their study of the collective internationalization of Chinese firms on very few cases, most of which represent market entry in African countries. Practical implications The study calls attention to a new, more efficient and less risky characteristic of international entry modes, which implies that companies can reap multiple benefits by entering markets in global groups. Originality/value As literature addressing market entry modes focuses mostly on individual enterprises, this paper contributes to the identification of advantages in collective internationalization.
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Chai, Jian, Shubin Wang, and Hao Xiao. "Abrupt Changes of Global Oil Price." Journal of Systems Science and Information 1, no. 1 (February 25, 2013): 38–59. http://dx.doi.org/10.1515/jssi-2013-0038.

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AbstractAiming to shed light on the predominant variations or events that lead to the abrupt change of oil price that affect the Chinese macro economy growth, this paper performs product partition model to identify and analyze world historic abrupt change of oil price and related variations as well as the identification of the structural change point of crude oil market equilibrium structure during the investigation stage using a MSBVAR model. We found out that abrupt change of oil price occurred time and again from 1991 to 2011. Yet the change of equilibrium structure of oil market emerged only once.
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Scagliarini, Tomas, Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia, and Rosario N. Mantegna. "Synergistic Information Transfer in the Global System of Financial Markets." Entropy 22, no. 9 (September 8, 2020): 1000. http://dx.doi.org/10.3390/e22091000.

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Uncovering dynamic information flow between stock market indices has been the topic of several studies which exploited the notion of transfer entropy or Granger causality, its linear version. The output of the transfer entropy approach is a directed weighted graph measuring the information about the future state of each target provided by the knowledge of the state of each driving stock market index. In order to go beyond the pairwise description of the information flow, thus looking at higher order informational circuits, here we apply the partial information decomposition to triplets consisting of a pair of driving markets (belonging to America or Europe) and a target market in Asia. Our analysis, on daily data recorded during the years 2000 to 2019, allows the identification of the synergistic information that a pair of drivers carry about the target. By studying the influence of the closing returns of drivers on the subsequent overnight changes of target indexes, we find that (i) Korea, Tokyo, Hong Kong, and Singapore are, in order, the most influenced Asian markets; (ii) US indices SP500 and Russell are the strongest drivers with respect to the bivariate Granger causality; and (iii) concerning higher order effects, pairs of European and American stock market indices play a major role as the most synergetic three-variables circuits. Our results show that the Synergy, a proxy of higher order predictive information flow rooted in information theory, provides details that are complementary to those obtained from bivariate and global Granger causality, and can thus be used to get a better characterization of the global financial system.
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Asaturov, Konstantin, and Tamara Teplova. "Volatility Spillover and Contagion Effects on Stock Markets: Global and Local Leaders Determination (part 1)." Moscow University Economics Bulletin 2014, no. 5 (October 30, 2014): 3–26. http://dx.doi.org/10.38050/01300105201451.

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The study focuses on the identification of stable relations between the stock markets of three geographic regions, including pre- and post-crisis periods. The paper demonstrates the applicability of the ARMA-DCC-GARCH model, allowing to provide a detailed examination of the dynamic correlation between 26 stock markets in the three regions (America, Europe and Asia) over the period of 1995-2012. We examine the volatility spillover effects and conditional correlations among the international equity markets. The country stock index is considered as an indicator of market dynamics. The results show that the US market (S&P500 index) is the main volatility transmitter worldwide, whereas the UK, German and French markets are the sources of volatility for the European developed and emerging European equity markets. However, the German DAX index, contrary to some studies, cannot be considered as a dominant one in the European region, in spite of the leadership of the German economy. The study shows that the role of “exporting volatility” or volatility transmitter belongs to the UK stock market. We also found that the US, the UK, Germany and France have a greater influence on emerging markets rather than on developed ones. Between the two markets in the North and East European region (Russia and Poland) the dominant transmitter role belongs to Russia.
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Ikhwana, A., R. Kurniawati, W. A. Kurniawan, and F. P. Alinda. "Identification of supporting factors of local food products towards the global market competition." Journal of Physics: Conference Series 1402 (December 2019): 022035. http://dx.doi.org/10.1088/1742-6596/1402/2/022035.

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Dissertations / Theses on the topic "Global market identification"

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Gould, Richard Robert, and RichardGould@ozemail com au. "International market selection-screening technique: replacing intuition with a multidimensional framework to select a short-list of countries." RMIT University. Social Science & Planning, 2002. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20081125.145312.

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The object of this research was to develop an international market screening methodology which selects highly attractive markets, allowing for the ranges in diversity amongst organisations, countries and products. Conventional business thought is that, every two to five years, dynamic organisations which conduct business internationally should decide which additional foreign market or markets to next enter. If they are internationally inexperienced, this will be their first market; if they are experienced, it might be, say, their 100th market. How should each organisation select their next international market? One previous attempt has been made to quantitatively test which decision variables, and what weights, should be used when choosing between the 230 countries of the world. The literature indicate that a well-informed selection decision could consider over 150 variables that measure aspects of each foreign market's economic, political, legal, cultural, technical and physical environments. Additionally, attributes of the organisation have not been considered when selecting the most attractive short-list of markets. The findings presented in the dissertation are that 30 criteria accounted for 95 per cent of variance at cross-classification rates of 95 per cent. The weights of each variable, and the markets selected statistically as being the most attractive, were found to vary with the capabilities, goals and values of the organisation. This frequently means that different countries will be best for different organisations selling the same product. A
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Watson, Bronwen. "The identification of characteristics and learning capabilities of a professional South African services organisation to sustain competitive advantage in the global market." Thesis, 2010. http://hdl.handle.net/10210/3431.

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M.Comm.
The general purpose of this study is to determine whether a professional South Africa services organisation has in general adapted to the principles of the fifth discipline as identified by Peter Senge. An empirical study was conducted to determine to what extent the organisation is implementing each of the five learning organisation disciplines, namely: (i) personal mastery, (ii) mental models, (iii) shared vision, (iv) team learning and (v) system thinking. A non-probability sampling design method was chosen to determine the research group of which 242 individuals from the chosen organisation responded. The statistical procedures utilised in the data analyses included the analysis of frequencies, reliabilities, significance, correlations as well as a factor analysis. The research indicated that the chosen organisation has to a large extent adapted to the first three principles of a learning organisation. The fourth discipline was moderately to a large extent implemented while the fifth discipline was in a small to moderate extent implemented. The organisation can therefore not be classified as a learning organisation. This research group was selective and is not representative of other professional services organisations. It is therefore not possible to generalize the findings of this study. Recommendations made to the organisation included: ensuring continuous employee learning opportunities; ensuring a culture where learning is encouraged and embraced; performance review practices to ensure goal setting; as well as measuring of progress towards goals and implement knowledge management databases to ensure data, information and knowledge are stored for future reference. Management should furthermore encourage employees to participate in worthwhile dialogue and discussions to ensure optimal learning. Continuous feedback need to be established in order to ensure further team learning and to enhance system thinking.
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Books on the topic "Global market identification"

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Zabelina, Ol'ga, Irina Omel'chenko, Anna Mayorova, and Ekaterina Safonova. Human resource Development in the Digital Age: Strategic Challenges, Challenges, and Opportunities. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1243772.

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The monograph, based on the identification of trends and problems of changes in the demand and supply of skills, as well as the study of modern mechanisms of their formation and actualization, substantiates the priority areas of human resources development in the Russian Federation that meet the strategic challenges of the period of digital transformation of the labor sphere. The authors identify and systematize current and future trends related to changes in the demand for professions and skills in the Russian and global labor markets. The directions of transformation of the demand for skills and professions in the conditions of digitalization of the economy, skills and professions of the future are determined. Quantitative and qualitative imbalances and trends in labor supply and demand in the Russian labor market are identified (based on statistical analysis of data from 2009-2019). The features and problems of supply and demand of professions/skills in the segments of the Russian labor market covered by Internet recruitment are identified (based on data from resume parsing and vacancies of Internet recruitment portals in 2018 and 2020). Methodological approaches to identifying widely-and poorly-demanded skills are proposed and tested during the competence analysis of labor supply and demand using Big Data technologies.the competence profile of the vacancies of the professional core and extra - skills. An innovative author's approach to assessing the potential of skills capitalization — a possible increase in the salary of an applicant due to the expansion of the set of skills that he has-is proposed and tested. The current policy directions of formation and improvement of skills of the population in the Russian Federation are identified and systematized. The strategic challenges of the period of digital transformation of the labor sphere facing the Russian Federation and the priority areas of human resources development that meet these challenges are identified. The conclusions and recommendations can be used in the work of the Ministry of Labor of Russia, Rostrud, the Ministry of Education and Science of Russia, the Ministry of Education of Russia, government authorities, employment services of the Russian regions, as well as organizations of the professional education system.
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van Kooten, G. Cornelis, and Linda Voss, eds. International trade in forest products: lumber trade disputes, models and examples. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0000.

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Abstract Because of the long-standing Canada-United States lumber trade dispute and the current pressure on the world's forests as a renewable energy source, much attention has been directed toward the modelling of international trade in wood products. Two types of trade models are described in this book: one is rooted in economic theory and mathematical programming, and the other consists of two econometric/statistical models--a gravity model rooted in theory and an approach known as GVAR that relies on time series analyses. The purpose of the book is to provide the background theory behind models and enable readers to easily construct their own models to analyze policy questions, whether in forestry or another sector. Examples in the book illustrate how models can be used to say something about a variety of issues, including identification of the gains and losses to various players in the North American softwood lumber business, and the potential for redirecting sales of lumber to countries outside the United States. The discussion is expanded to include other products besides lumber, and used to examine, for example, the effects of log export restrictions by one naton on all other forestry jurisdictions, the impacts of climate policies as they relate to the global forest sector, and the impact of oil prices on forest product markets throughout the world.
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Co, Business Communications. The Global Biometrics Market. Business Communications Company, 2003.

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Knaack, Peter. A Web without a Center. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190864576.003.0009.

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G20 leaders vowed to collect and share OTC derivatives trade data so that regulators can obtain a global picture of market and risk evolution. This chapter employs a network perspective to explain why they have failed to meet this commitment to date. It examines three networks: the OTC derivatives market itself, and those of its private and public governance. The analysis shows that the Financial Stability Board (FSB), the public supervisory entity, struggles to establish itself at the center of the global regulatory network. It failed to act as a first mover in setting global trade identification standards (legal entity identifiers), and it has not been able to establish a core of global data warehouses. This is largely the result of unilateral action by FSB members. In particular, legislators in member countries have undermined FSB-led efforts by refusing to remove legal barriers to transnational regulatory cooperation and, in some instances, by erecting new ones.
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Book chapters on the topic "Global market identification"

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Zulfikar, Rizka, Prihatini Ade Mayvita, Purboyo, and Hj Farida Yulianti. "Identification of the potential market segment of traditional medicine products based on the level of preference, satisfaction and risk perception." In Facing Global Digital Revolution, 56–60. Boca Raton : CRC Press, Taylor & Francis Group, [2020] | “Proceedings of the 1st International Conference on Economics, Management, and Accounting (BES 2019), July 10, 2019, Semarang, Indonesia”--Title page.: Routledge, 2020. http://dx.doi.org/10.1201/9780429322808-13.

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Gupta, Karnika, and Narendra Singh. "Segmentation of Consumers and Identification of Responsibles." In Approaches to Global Sustainability, Markets, and Governance, 301–21. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3005-0_7.

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Mohan, Ganapathy. "Low Level Impurities in Drug Substances and Drug Products and the Analytical Challenges in Identification and Quantitation." In Pharmaceutical Stability Testing to Support Global Markets, 117–21. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0889-6_16.

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Singh, Balwant, Shefali Mishra, Deepak Singh Bisht, and Rohit Joshi. "Growing Rice with Less Water: Improving Productivity by Decreasing Water Demand." In Rice Improvement, 147–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66530-2_5.

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AbstractRice is a staple food for more than half of the global population. With the increasing population, the yield of rice must correspondingly increase to fulfill the requirement. Rice is cultivated worldwide in four different types of ecosystems, which are limited by the availability of irrigation water. However, water-limiting conditions negatively affect rice production; therefore, to enhance productivity under changing climatic conditions, improved cultivation practices and drought-tolerant cultivars/varieties are required. There are two basic approaches to cultivation: (1) plant based and (2) soil and irrigation based, which can be targeted for improving rice production. Crop plants primarily follow three mechanisms: drought escape, avoidance, and tolerance. Based on these mechanisms, different strategies are followed, which include cultivar selection based on yield stability under drought. Similarly, soil- and irrigation-based strategies consist of decreasing non-beneficial water depletions and water outflows, aerobic rice development, alternate wetting and drying, saturated soil culture, system of rice intensification, and sprinkler irrigation. Further strategies involve developing drought-tolerant cultivars through marker-assisted selection/pyramiding, genomic selection, QTL mapping, and other breeding and cultivation practices such as early planting to follow escape strategies and decreasing stand density to minimize competition with weeds. Similarly, the identification of drought-responsive genes and their manipulation will provide a technological solution to overcome drought stress. However, it was the Green Revolution that increased crop production. To maintain the balance, there is a need for another revolution to cope with the increasing demand.
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Ali, Jauhar, Mahender Anumalla, Varunseelan Murugaiyan, and Zhikang Li. "Green Super Rice (GSR) Traits: Breeding and Genetics for Multiple Biotic and Abiotic Stress Tolerance in Rice." In Rice Improvement, 59–97. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66530-2_3.

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AbstractThe frequent fluctuations in global climate variability (GCV), decreases in farmland and irrigation water, soil degradation and erosion, and increasing fertilizer costs are the significant factors in declining rice productivity, mainly in Asia and Africa. Under GCV scenarios, it is a challenging task to meet the rice food demand of the growing population. Identifying green traits (tolerance of biotic and abiotic stresses, nutrient-use efficiency, and nutritional grain quality) and stacking them in high-yielding elite genetic backgrounds is one promising approach to increase rice productivity. To this end, the Green Super Rice (GSR) breeding strategy helps to pool multi-stress-tolerance traits by stringent selection processes and to develop superior GSR cultivars within a short span of 4–5 years. In the crossing and selection process of GSR breeding, selective introgression lines (SILs) derived from sets of early backcross BC1F2 bulk populations through both target traits and non-target traits were selected. Genotyping of SILs with high-density SNP markers leads to the identification of a large number of SNP markers linked with the target green traits. The identified SILs with superior trait combinations were used for designed QTL pyramiding to combine different target green traits. The GSR breeding strategy also focused on nutrient- and water-use efficiency besides environment-friendly green features primarily to increase grain yield and income returns for resource-poor farmers. In this chapter, we have highlighted the GSR breeding strategy and QTL introgression of green traits in rice. This breeding strategy has successfully dissected many complex traits and also released several multi-stress-tolerant varieties with high grain yield and productivity in the target regions of Asia and Africa.
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"A Strategic Model for Entering African Markets." In Emerging Business Opportunities in Africa, 167–96. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4570-7.ch007.

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This chapter looks at managerial mind-set and cultural orientations as major dimensions to be considered in global business. Furthermore, the chapter elucidates sites and market entry evaluation criterion, including identification and discussion of foreign markets’ entry modes and synergies created by various modes. It further analyzes the global and African markets’ specific entry strategies to do business in Africa. It also examines appropriate timing in market entry including risks and challenges in entering foreign markets—particularly African markets—to do business.
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van Rossum, Matthias, Lex Heerma van Voss, Jelle van Lottum, and Jan Lucassen. "National and International Labour Markets for Sailors in European, Atlantic and Asian Waters, 1600-1850." In Maritime History as Global History. Liverpool University Press, 2010. http://dx.doi.org/10.5949/liverpool/9780986497339.003.0003.

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This chapter explores shipping demographics and recruitment strategies between 1600 and 1850 to demonstrate how multicultural crews and openness to cultural exchange were necessary for maritime trade to be successful on a global scale. It examines the religious, racial, economic, and national demographics of crews from Europe, the Atlantic, and Asia, and determines that despite the complexities in the labour market pertaining to identification and loyalty, multicultural crews were as efficient as single-nation crews and a core facet of globalisation.
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Barlette, Yves, and Vladislav V. Fomin. "The Adoption of Information Security Management Standards." In Cyber Security and Global Information Assurance, 119–40. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-326-5.ch006.

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This chapter introduces major information security management methods and standards, and particularly ISO/IEC 27001 and 27002 standards. A literature review was conducted in order to understand the reasons for the low level of adoption of information security standards by companies, and to identify the drivers and the success factors in implementation of these standards. Based on the findings of the literature review, we provide recommendations on how to successfully implement and stimulate diffusion of information security standards in the dynamic business market environment, where companies vary in their size and organizational culture. The chapter concludes with an identification of future trends and areas for further research.
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Ruhi, Umar, and Ofir Turel. "Enabling the Glass Pipeline." In Global Integrated Supply Chain Systems, 291–309. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-611-2.ch017.

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In recent years, the prospect of information exchange independent of time and place has been a compelling driver for organizations worldwide to adopt mobile technology applications in their various business practices. In particular, the application of mobile technology in Supply Chain Management has drawn widespread attention from researchers and practitioners who endorse adaptive and agile supply chain processes. This chapter discusses the applications of mobile technologies in various areas of supply chain management and the potential benefits of those technologies along the dimensions of reduced replenishment time and transactions and billing cycles. Among other discussions, the role of mobile procurement, inventory management, product identification, package tracking, sales force, and field service automation technologies is highlighted. To substantiate the basis for adopting mobile technologies for supplychain management, different market drivers for mobile applications are exemplified and applied to the three macro-level processes of supplier relationship management, internal supply chain management, and customer relationship management; a resulting typology of mobile supply chain management applications is presented.
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Wyld, David C. "RFID Tagging of Pharmaceuticals." In Encyclopedia of Healthcare Information Systems, 1199–209. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch150.

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Pharmaceuticals play a more prominent role in American health care than in any other nation. The North American market today comprises 47% of the global prescription drug market, which now exceeds half a trillion dollars, with Americans spending approximately $251.8 billion annually on pharmaceuticals. This is up significantly from a decade earlier, when American consumption represented approximately one-third of the world market (IMS Health, 2006a). America’s insatiable demand for prescription drugs has led to serious cracks in the drug supply chain of the world’s leading pharmaceutical market. This chapter examines the size and scope of the problem of counterfeit pharmaceuticals, both globally and in the United States. It looks at the impact this crisis is having both on public health and the pharmaceutical industry. Today, leaders in both the pharmaceutical industry and government are looking to more stringent regulations and radio frequency identification (RFID) tagging of pharmaceuticals as a way to head off the problems associated with an increasingly leaky drug supply chain. This chapter outlines the steps being taken in the United States to help secure this vital supply chain. Finally, an analysis is given of the impact the shift to electronic pedigrees of pharmaceuticals will have both on the pharmaceutical and RFID market spaces.
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Conference papers on the topic "Global market identification"

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Saridakis, Charalampos, Stelios Tsafarakis, and George Baltas. "AN ARTIFICIAL NEURAL NETWORKS APPROACH FOR THE IDENTIFICATION OF CAUSAL PATHWAYS TO LOYALTY IN THE AUTOMOBILE MARKET." In Bridging Asia and the World: Global Platform for Interface between Marketing and Management. Global Alliance of Marketing & Management Associations, 2016. http://dx.doi.org/10.15444/gmc2016.05.07.06.

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Del-Pino Espinoza, Ariana Daniela, and Freddy Ronald Veloz de la Torre. "What the Brand brands: A reading from the contribution of Sectoral Brands to the competitiveness of the regions." In INNODOCT 2019. Valencia: Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/inn2019.2019.10020.

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Global brands have encouraged the penetration of products in markets, but new contexts have emerged, where brands add value to the productive sectors and promote the creation and growth of new companies. An approach and analysis of the contemporary construction of the sector brand and the value it provides to insert countries, territories, cities and products in global markets is carried out. On the other hand, in the Latin American context, we can observe the emergence of emerging brands that have their origin in the need to meet the demand of priority sectors or undertakings derived from the identification of unattended market niches, with the potential to become trademarks in a higher level
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Mac, Karen, Taylor Maya Tromburg, Michele T. Parker, Nina Morrison, Samantha O'Connor, Callie Weber, and Unyoung Kim. "Screening donated breast milk in the developing world: Market evaluation and needs identification for rapid and sustainable methods of screening donated milk at human milk banks." In 2017 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2017. http://dx.doi.org/10.1109/ghtc.2017.8239309.

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Li, Wei, Xiatian Zhu, and Shaogang Gong. "Person Re-Identification by Deep Joint Learning of Multi-Loss Classification." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/305.

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Existing person re-identification (re-id) methods rely mostly on either localised or global feature representation. This ignores their joint benefit and mutual complementary effects. In this work, we show the advantages of jointly learning local and global features in a Convolutional Neural Network (CNN) by aiming to discover correlated local and global features in different context. Specifically, we formulate a method for joint learning of local and global feature selection losses designed to optimise person re-id when using generic matching metrics such as the L2 distance. We design a novel CNN architecture for Jointly Learning Multi-Loss (JLML) of local and global discriminative feature optimisation subject concurrently to the same re-id labelled information. Extensive comparative evaluations demonstrate the advantages of this new JLML model for person re-id over a wide range of state-of-the-art re-id methods on five benchmarks (VIPeR, GRID, CUHK01, CUHK03, Market-1501).
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Yu, Zhengxu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, and Xian-Sheng Hua. "Progressive Transfer Learning for Person Re-identification." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/586.

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Model fine-tuning is a widely used transfer learning approach in person Re-identification (ReID) applications, which fine-tuning a pre-trained feature extraction model into the target scenario instead of training a model from scratch. It is challenging due to the significant variations inside the target scenario, e.g., different camera viewpoint, illumination changes, and occlusion. These variations result in a gap between the distribution of each mini-batch and the distribution of the whole dataset when using mini-batch training. In this paper, we study model fine-tuning from the perspective of the aggregation and utilization of the global information of the dataset when using mini-batch training. Specifically, we introduce a novel network structure called Batch-related Convolutional Cell (BConv-Cell), which progressively collects the global information of the dataset into a latent state and uses this latent state to rectify the extracted feature. Based on BConv-Cells, we further proposed the Progressive Transfer Learning (PTL) method to facilitate the model fine-tuning process by joint training the BConv-Cells and the pre-trained ReID model. Empirical experiments show that our proposal can improve the performance of the ReID model greatly on MSMT17, Market-1501, CUHK03 and DukeMTMC-reID datasets. The code will be released later on at \url{https://github.com/ZJULearning/PTL}
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Nichita (Vasile), Camelia Elena, Miruna Angela Mutu, and Iliana Maria Zanfir. "Trafficking in Human Beings in the Context of Global Ethics." In 2nd International Conference Global Ethics - Key of Sustainability (GEKoS). LUMEN Publishing House, 2021. http://dx.doi.org/10.18662/lumproc/gekos2021/21.

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The concept of “Global Ethics” refers to the analysis and identification of ethical solutions to the challenges of the contemporary world. Among the current global problems we bring to the fore: illegal immigration as a component of human trafficking, but also other global issues interdependent with the two crimes above: violation of human rights and freedoms, poverty, resource scarcity, discrimination, illegal international business and trade, all of which, requesting from the authorities and beyond, legislative and ethical solutions. Legal migration is the widely accepted form globally, since it can be determined over time, but also controlled in terms of the number of people, fields and jobs. Illegal migration is the alternative used by people who cannot use the legal route to go abroad. A component of trafficking in human beings, illegal migration is a global scourge, hard to control, caused by organised criminal groups, but also by the increasing ingenuity of criminals. Although the phenomenon is manifesting itself worldwide, it is accentuated by the fact that there is a lack of appropriate legislation and an effective system of cooperation between government institutions and civil society.Trafficking in human beings must be related to the causes that led to its emergence: discrimination in the labour market revealed by high unemployment rates (women vs. men), poverty combined with low remuneration for work performed, corruption of authorities, poor border control, restriction of legal migration opportunities, internationalization of criminal groups correlated with high profits from human trafficking, poor information of people who want to emigrate about the real effects of the labour market. Knowing this phenomenon, but also of the causes that cause it to occur, determines the process of working for knowledge, resolution and fight against it. The present work is intended to be a source of information that makes available to those interested that information about illegal migration, as well as how state structures can and should be involved in the situation.
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Vlasov, Dmitry. "SYNERGY OF THE BUSINESS COMMUNITY ELECTRONIC PLATFORM FOR INTERNATIONAL ECONOMIC ACTIVITY PARTICIPANTS AND UNIFIED AUTOMATED INFORMATION SYSTEM OF CUSTOMS SERVICES (UAIS) AS A BREAKTHROUGH TECHNOLOGY FOR RUSSIAN TRANSIT POTENTIAL GROWING AND STRENGTHENING COOPERATION IN THE INTERNATIONAL MARKET." In Globalistics-2020: Global issues and the future of humankind. Interregional Social Organization for Assistance of Studying and Promotion the Scientific Heritage of N.D. Kondratieff / ISOASPSH of N.D. Kondratieff, 2020. http://dx.doi.org/10.46865/978-5-901640-33-3-2020-128-138.

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The implementation of communication identification tools in form of comprehensive triple toolkit as part of the “transparent international transport green corridor” will significantly simplify and accelerate the rate of passage and movement for transit foreign trade cargo flows. It will help law-abiding business community as foreign trade participants to follow the customs legislation within the customs territory of the EAEU, as well as to follow the level and quality of customs control at border checkpoints and within the route of goods along the entire transport corridor. The innovations will provide a huge regional infrastructure and socio-economic stability of regions, districts and settlements, thus it will lead to the stable employment of Russia and other EAEU citizens, as well as other world country-partners that take part in the “transparent international transport green corridor”.
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Tomić, Daniel, and Manuel Benazić. "Financialization vs. (de)Industrialization in Croatia: Evidence of a Nonlinear Behaviour." In Values, Competencies and Changes in Organizations. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-442-2.68.

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Increasing financialization in the EU over the last two decades rendered different macroeconomic stories in regard to growth rates, industrialization and innovation, institutional transformation, inequality and financial stability. In addition, monetary union has created a favourable environment for such process by increasing a market expansion of financial institution and increasing financial assets within companies. However, the process of financial liberalization has changed economic structure in many countries leading to an excessive increase in both private and public debt and subsequently to the process of deindustrialization. For example, deindustrialization lead to a significant reallocation of resources from the industrial sector to the service sector in Croatia. The Global economic crisis of 2008 has shortly devitalized excessive financialization, yet it did not contain it. The aim of this paper is to evaluate whether the two economic lanes, financialization and industrialization, are mutually related and do they follow same linear or non-linear process. Identification is based on Markow switching approach with time-varying transition probabilities and covers annual data from 1995 to 2018. The period covers and extends beyond the Global crisis, which facilitates our empirical logic on examining the regime switching behaviour for both economic processes. Obtained results suggest nonlinearity within, both financialization and industrialization processes, by identifying two distinct levels of behaviour before and after the Global crisis.
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Shen, Yunhang, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, and Feiyue Huang. "A Part Power Set Model for Scale-Free Person Retrieval." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/471.

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Recently, person re-identification (re-ID) has attracted increasing research attention, which has broad application prospects in video surveillance and beyond. To this end, most existing methods highly relied on well-aligned pedestrian images and hand-engineered part-based model on the coarsest feature map. In this paper, to lighten the restriction of such fixed and coarse input alignment, an end-to-end part power set model with multi-scale features is proposed, which captures the discriminative parts of pedestrians from global to local, and from coarse to fine, enabling part-based scale-free person re-ID. In particular, we first factorize the visual appearance by enumerating $k$-combinations for all $k$ of $n$ body parts to exploit rich global and partial information to learn discriminative feature maps. Then, a combination ranking module is introduced to guide the model training with all combinations of body parts, which alternates between ranking combinations and estimating an appearance model. To enable scale-free input, we further exploit the pyramid architecture of deep networks to construct multi-scale feature maps with a feasible amount of extra cost in term of memory and time. Extensive experiments on the mainstream evaluation datasets, including Market-1501, DukeMTMC-reID and CUHK03, validate that our method achieves the state-of-the-art performance.
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Ancona, M. A., M. Bianchi, L. Branchini, A. De Pascale, F. Melino, S. Ottaviano, A. Peretto, and L. B. Scarponi. "Heat Recovery From a Liquefied Natural Gas Production Process by Means of an Organic Rankine Cycle." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-75370.

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In the last years, the increased demand of the energy market has led to the increasing penetration of renewable energies in order to achieve the primary energy supply. However, natural gas is expected to still play a key role in the energy market, since its environmental impact is lower than other fossil fuels. It is mainly employed as gaseous fuel for stationary energy generation, but also as liquefied fuel, as an alternative to the diesel fuel, in vehicular applications. Liquefied Natural Gas is currently produced mainly in large plants directly located at the extraction sites and transported by ships or tracks to the final users. In order to avoid costs and environmental related impact, in previous studies Authors developed a new plant configuration for liquefied natural gas production directly at filling stations. One of the main issues of the process is that in various sections the working fluid needs to be cooled by external fluids (such as air for compressor inter and after-cooling or chilling fluids), in order to increase the global performances. As a consequence, an important amount of heat could be potentially recovered from this Liquefied Natural Gas production process. Thus, based on the obtained results, in this study the integration between the liquefaction process and an organic Rankine cycle is proposed. In fact, the heat recovered from the Liquefied Natural Gas production process can be used as hot source within the organic Rankine cycle. The aim of the work is the identification of the optimal integrated configuration, in order to maximize the heat recovery and, as a consequence, to optimize the process efficiency. With this purpose, in this study different configurations — in terms of considered organic fluid, architecture and origin of the recovered heat — have been defined and analyzed by means of a commercial software. This software is able to thermodynamically evaluate the proposed process and had allowed to define the optimal solution.
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