scholarly journals 'From garage to global': the internet and international market growth, an SME perspective

Author(s):  
Shane Mathews ◽  
Marilyn Healy
Author(s):  
Chollada Luangpituksa

This paper described the development of the Stock Market in Thailand since it has been established in 1975. During these thirty years the Stock Market in Thailand has introduced computer system to facilitate investors and listed companies both in financial data and administrative work. Particularly the internet trading system has been introduced to enhance market growth. This can be traced from the increasing volume of trade each day. The growth of Thai stock market has changed the structure of Thai economy and affects the economic development of Thailand.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiaojiang Zhou ◽  
Keqi Li

Crafts are a special kind of personalized goods that can be personalized with the help of the Internet to better meet consumers’ individuality and make them part of the personalized craft design. The development of information technology has made it possible to grasp personal information and talk to individuals, and the past practice of grasping consumers’ needs by age level has become obsolete, and providing one-to-one product service to customers through the Internet will become a new market growth point. The design and implementation of the system hardware are introduced by focusing on the functional circuits of various sensors of the data collection terminal, The functional circuit of the wireless communication module CC2530, the functional circuit of the microprocessor STM32, and the functional circuit of the collection terminal. In addition, this paper introduces the development environment of IAR software, the implementation of sensor acquisition function, 4 G module communication function, and coordinator network from the software point of view and provides a detailed explanation using program flowcharts. Next, by comparing the three filtering algorithms, an error optimization algorithm can be used to optimize the filtered data errors and obtain better results. By establishing an experimental platform for collecting all kinds of data, a network formation experiment is performed, and the coordinator normally forms the network, and the collected and processed data by the algorithm are matched to the MATLAB simulation platform. The Topix is compared with the exact data measured by the sensor. Finally, calculations show that two dry batteries can be used to maintain the system over 6 months. The system provides power and low-power design is practical and effective.


2003 ◽  
Vol 8 (1) ◽  
pp. 39-47 ◽  
Author(s):  
Jonathan K. Foster ◽  
Jonathan K. Foster

This paper first presents the author's impressions of the UK PhD in psychology, with respect to the author's experience of 9 years' teaching at the Universities of Oxford (1987-1989) and Manchester (1992-1999). In the second section of the paper, he discusses the Guidelines for the Assessment of the PhD in Psychology and Related Disciplines, endorsed by the British Psychological Society. Reference is also made to the Australian and North-American PhD systems, based on the author's experience working at the University of Toronto (1990-1992) and the University of Western Australia (2000-present). Several current trends are identified for the UK PhD in psychology, including the tendency for the UK PhD to become more programmatic, better regulated, and more formalized. A final point concerns the development of the international “market” in PhD graduates, facilitated via media such as the internet. The author agrees with the majority of the recommendations made by the BPS PhD Guidelines. However, based on his recent UK teaching experience, he is somewhat sceptical concerning whether these Guidelines will—realistically—be implemented within the current political and managerial climate existing in the UK higher education sector.


2011 ◽  
Vol 15 (06) ◽  
pp. 1271-1295 ◽  
Author(s):  
JORMA NIEMINEN

This study compares the emergence of four wireless clusters in the 1970s and 1980s. Two of them, Calgary in Canada and Finland, initially pursued rather similar service innovations for not very different markets but with very different outcomes, which raises the question why. One major reason that emerges from the reviewed extant research on cluster emergence and innovation diffusion concerns the differences in timing and quality of the initial innovations, affecting their respective perceived diffusion attributes, and market growth and extent. The initial innovation in Finland was well received, diffused rapidly and eventually globally, and led to a positive spiral spurring the industry on to take a global lead. In the case of Calgary, however, it was un-competitive in the broader international market, forcing the anchor firm to adapt and reorient. The study analyses and compares the characteristics of the respective initial innovations and their impact on the outcome, and concludes with a discussion and some propositions on cluster emergence. Enhanced understanding of nascent clusters, especially regarding the role of globally attractive initial innovations and their diffusion quality and timing, should provide value for both scholars and practitioners.


Author(s):  
R. K. Bathla ◽  
Jitender Nath Srivastva

Big Data has gained much concentration from the academic world and the IT industry. In the digital and computing world, in order is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2 billion people world wide are connected to the Internet, and over 5 billion individuals own mobile phones. By 2020, 50 billion devices are expected to be connected to the Internet. At this point, predicted data production will be 44 times greater than that in 2009. As information is transferred and shared at light speed on optic fiber and wireless networks, the volume of data and the speed of market growth increase. However, the fast growth rate of such large data generates numerous challenges, such as the rapid growth of data, transfer speed, diverse data, and security. Nonetheless, Big Data is still in its infancy stage, and the domain has not been reviewed in general. Hence, this study comprehensively surveys and classifies the various attributes of Big Data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security. Cloud computing has opened up new opportunities for testing departments. New technology and social connectivity trends are creating a perfect storm of opportunity, enabling cloud to transform internal operations, Customer relationships and industry value chains. To ensure high quality of cloud applications under development, developer must perform testing to examine the quality and accuracy whatever they design. Business users are drawn to clouds simplified, self- service experience and new service capabilities. In this research paper, we address a testing environmental architecture with valuable key benefits, to perform execution of test cases and used testing methodologies to enhance quality of cloud applications.


2016 ◽  
Vol 25 (4) ◽  
pp. 820-830 ◽  
Author(s):  
Shane Mathews ◽  
Constanza Bianchi ◽  
Keith J. Perks ◽  
Marilyn Healy ◽  
Rumintha Wickramasekera

2021 ◽  
Vol 235 ◽  
pp. 02060
Author(s):  
Qiujin You ◽  
Chun Chen

The development of the Internet era has brought about a globally integrated economic and trade system, which has enabled the economies of many countries to develop by leaps and bounds. Of course, under such an economic system, China’s economy has also benefited a lot. However, compared with other countries, China’s has many shortcomings in brand building. Although China’s is the world’s largest country in terms of exports, most of these exports are based on cheap labor costs and low-tech content, while the exports of branded products only account for a small part. This paper analyzes the current problems and deficiencies of China’s exports in brand and brand strategy by studying the competitiveness of Chinese export brands in the international market, and analyzes the solutions to these existing or possible problems.


2018 ◽  
Vol 42 (3) ◽  
Author(s):  
Amarildo Hersen ◽  
João Carlos Garzel Leodoro da Silva ◽  
Romano Timofeiczyk Junior

ABSTRACT The objective of this study was to highlight some limitations of the use of the Boston Consulting Group Matrix to propose strategies to maximize the performance of the sector in the international pulp market. The procedure adopted for the investigation was the portfolio analysis, for the different types of pulp exported by Brazil, using the Growth Share Matrix. The results indicate that the BCG Matrix is static and non-dynamic analysis and arbitrary questions to define the market growth rate can provide different interpretations, possibly contradictory.


2017 ◽  
Vol 19 (1) ◽  
pp. 50-52 ◽  
Author(s):  
Jian-Zhong (Joe) Zhou

This article first examines the difference between two very familiar and sometimes synonymous terms, the Internet and the Web. The article then explains the relationship between the Web's protocol HTTP and other high-level Internet protocols, such as Telnet and FTP, as well as provides a brief history of Web development. Next, the article analyzes the mechanism in which a Web browser (client) "talks" to a Web server on the Internet. Finally, the article studies the market growth for Web browsers and Web servers between 1993 and 1999. Two statistical sources were used in the Web market analysis: a survey conducted by the University of Delaware Libraries for the 122 members of the Association of Research Libraries, and the data for the entire Web industry from different Web survey agencies.


2014 ◽  
Vol 2014 ◽  
pp. 1-18 ◽  
Author(s):  
Nawsher Khan ◽  
Ibrar Yaqoob ◽  
Ibrahim Abaker Targio Hashem ◽  
Zakira Inayat ◽  
Waleed Kamaleldin Mahmoud Ali ◽  
...  

Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2 billion people worldwide are connected to the Internet, and over 5 billion individuals own mobile phones. By 2020, 50 billion devices are expected to be connected to the Internet. At this point, predicted data production will be 44 times greater than that in 2009. As information is transferred and shared at light speed on optic fiber and wireless networks, the volume of data and the speed of market growth increase. However, the fast growth rate of such large data generates numerous challenges, such as the rapid growth of data, transfer speed, diverse data, and security. Nonetheless, Big Data is still in its infancy stage, and the domain has not been reviewed in general. Hence, this study comprehensively surveys and classifies the various attributes of Big Data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes a data life cycle that uses the technologies and terminologies of Big Data. Future research directions in this field are determined based on opportunities and several open issues in Big Data domination. These research directions facilitate the exploration of the domain and the development of optimal techniques to address Big Data.


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