From Entrepreneur to Big Player

2013 ◽  
Vol 4 (2) ◽  
pp. 21-34
Author(s):  
Ruey-Shiang Shaw ◽  
Sheng-Pao Shih ◽  
Ta-Yu Fu ◽  
Chia-Wen Tsai
Keyword(s):  
Business Model ◽  
Large Scale ◽  
Software Industry ◽  
Stable Phase ◽  
Data Set ◽  
Main Research ◽  
Software Products ◽  
Ex Post ◽  
Major Player

The software industry faces drastic changes in technology and business operations. The research structure of this study is based on the business model for software industries proposed by Rajala in 2003. The researcher employed an ex post facto research design to conduct a case study of the Galaxy Software Service Co., a company that is representative of the software industry in Taiwan. The main research goal of this study is to explore how this particular company developed into a large software company in the Taiwanese software sector, which is characterized by a prevalence of small- and medium-sized businesses, over a period of 25 years. This study employs a case study design and relies on in-depth participation and interviews to acquire a complete data set of the company’s internal operations. The evolution of the business model from the company’s inception until the present day has been divided into four phases: the entrepreneur phase, the growth phase, the stable phase, and the innovative breakthrough phase. The company developed into a major player in the software industry for 3 reasons: it has always insisted on a product differentiation strategy based on the sole reliance on software products, it started out as a software products dealer and gradually developed its own research and development capability, and it built a large-scale project management capability and received CMMI certification. These factors make the company stand out from other System Integrated businesses in the Taiwanese software sector offering both hardware and software products.

Exploration of Tourist Activities in Urban Destination Using Venue Check-In Data

2019 ◽  
Vol 44 (3) ◽  
pp. 472-498
Author(s):  
Huy Quan Vu ◽  
Jian Ming Luo ◽  
Gang Li ◽  
Rob Law
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Traditional Approach ◽  
Urban Tourism ◽  
Data Set ◽  
Tourism Marketing ◽  
Large Scale Data ◽  
New Type ◽  
Scale Data

Understanding the differences and similarities in the activities of tourists from various cultures is important for tourism managers to develop appropriate plans and strategies that could support urban tourism marketing and managements. However, tourism managers still face challenges in obtaining such understanding because the traditional approach of data collection, which relies on survey and questionnaires, is incapable of capturing tourist activities at a large scale. In this article, we present a method for the study of tourist activities based on a new type of data, venue check-ins. The effectiveness of the presented approach is demonstrated through a case study of a major tourism country, France. Analysis based on a large-scale data set from 19 tourism cities in France reveals interesting differences and similarities in the activities of tourists from 14 markets (countries). Valuable insights are provided for various urban tourism applications.

scholarly journals Health Check-up of Commercial Banks in the Framework of CAMEL: A Case Study of Joint Venture Banks in Nepal

2007 ◽  
Vol 2 (1) ◽  
pp. 41-55 ◽  
Author(s):  
Keshar J. Baral
Keyword(s):  
Commercial Banks ◽  
Large Scale ◽  
Joint Venture ◽  
Balance Sheet ◽  
Health Check ◽  
Annual Reports ◽  
Financial Health ◽  
Data Set ◽  
Business Studies

Using the data set published by joint venture banks in their annual reports, and NRB in its supervision annual reports, this paper examines the financial health of joint venture banks in the CAMEL framework. The health check up conducted on the basis of publicly available financial data concludes that the health of joint venture banks is better than that of the other commercial banks. In addition, the perusal of indicators of different components of CAMEL indicates that the financial health of joint venture banks is not so strong to manage the possible large scale shocks to their balance sheet and their health is fair. Journal of Nepalese Business Studies Vol.2(1) 2005 pp.41-55

A statistical methodology for deriving reservoir properties from seismic data

Geophysics ◽  
1995 ◽  
Vol 60 (5) ◽  
pp. 1437-1450 ◽  
Author(s):  
Frédérique Fournier ◽  
Jean‐François Derain
Keyword(s):  
Seismic Data ◽  
Large Scale ◽  
Seismic Attributes ◽  
Seismic Facies ◽  
Reservoir Properties ◽  
Data Set ◽  
Analysis Technique ◽  
Seismic Facies Analysis ◽  
Statistical Relationships

The use of seismic data to better constrain the reservoir model between wells has become an important goal for seismic interpretation. We propose a methodology for deriving soft geologic information from seismic data and discuss its application through a case study in offshore Congo. The methodology combines seismic facies analysis and statistical calibration techniques applied to seismic attributes characterizing the traces at the reservoir level. We built statistical relationships between seismic attributes and reservoir properties from a calibration population consisting of wells and their adjacent traces. The correlation studies are based on the canonical correlation analysis technique, while the statistical model comes from a multivariate regression between the canonical seismic variables and the reservoir properties, whenever they are predictable. In the case study, we predicted estimates and associated uncertainties on the lithofacies thicknesses cumulated over the reservoir interval from the seismic information. We carried out a seismic facies identification and compared the geological prediction results in the cases of a calibration on the whole data set and a calibration done independently on the traces (and wells) related to each seismic facies. The later approach produces a significant improvement in the geological estimation from the seismic information, mainly because the large scale geological variations (and associated seismic ones) over the field can be accounted for.

Sustainability Analysis of Sino-Brazilian Bilateral Trade

2022 ◽  
pp. 132-154
Author(s):  
Poshan Yu ◽  
Jiayi He ◽  
Michael Sampat
Keyword(s):  
Global Economy ◽  
Large Scale ◽  
Bilateral Trade ◽  
Business Practices ◽  
Health Crisis ◽  
Main Research ◽  
Cross Border ◽  
Border Trade ◽  
Management Perspective

The large-scale health crisis caused by COVID-19 that appeared in late 2019 has undoubtedly had a huge influence on the global economy. This chapter takes the interruption of international trade in the context of epidemics as the main research subject, using the change in Sino-Brazilian trade as a case study. From the international management perspective, this chapter will investigate how this epidemic affects Sino-Brazilian cross-border trade and business practices. The interlinked relationship between both countries' cross-border trade will be examined. Recommendations will be provided for further enhancing both countries' economic growth and trade practices.

scholarly journals Tourist Activity Analysis by Leveraging Mobile Social Media Data

2017 ◽  
Vol 57 (7) ◽  
pp. 883-898 ◽  
Author(s):  
Huy Quan Vu ◽  
Gang Li ◽  
Rob Law ◽  
Yanchun Zhang
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Contextual Information ◽  
Online Social Network ◽  
Data Set ◽  
Travel Diary ◽  
Manual Recording ◽  
Rich Information ◽  
Media Data

Approaches to traditional travel diary construction rely on tourist participation and manual recording; hence, they are not only time-consuming but also limited in the scale and the number of samples. Online social network platforms have been used as alternative data sources for capturing the movements and travel patterns of tourists at a large scale. However, they fail to provide detailed contextual information on tourist activities for further analysis. In this paper, we present a new approach to travel diary construction based on the venue check-in data available in mobile social media with rich information on locations, time, and activities. Our case study focuses on the inbound tourism in Hong Kong using a data set composed of 17,355 check-ins generated by 600 tourists. We demonstrate how the proposed travel diary can provide useful practical implications for applications in location management, transportation management, impact management, and tourist experience promotion among others.

scholarly journals Research on the Radical Innovation of C2M Business Model—A Case Study on Redcollar MTM Men’s Suits in China

2016 ◽  
Vol 11 (4) ◽  
pp. 194 ◽  
Author(s):  
Yingfen Zhou ◽  
Ming Xu ◽  
Rong Di
Keyword(s):  
Business Model ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Production Efficiency ◽  
Value Added ◽  
Radical Innovation ◽  
High Tech ◽  
Scale Production ◽  
Traditional Manufacturing

<p class="AbstractWCCM"><span lang="EN-US">For recently years, with the deep integration of informatization and industrialization, traditional manufacturing industries in China have been investigating for the road of transformation and upgrading. A Chinese garment enterprise, named Redcollar Group of China, has successfully transformed and upgraded to high-tech industry with high value added from labor-intensive industry. It is very important to explore the reason, method and business model it has created so as to provide some beneficial advice to China’s traditional manufactures. In this case study, indirect research, field research, comparison research and customers’ experience methods have been used. As a result, it is found that the enterprise has successfully created a C2M business mode of men's custom suits and has succeeded in producing customization suits with large-scale production efficiency. Being the first factory in the world by using industrialization measures to produce thoroughly customized men’s suits, the Redcollar’s C2M model is the revolutionary and disruptive radical innovation which breaks through the traditional suits making, the traditional clothing manufacturing model, the value perception of traditional manufacturing industry and the existing business regulations. </span></p>

scholarly journals Can Bibliographic Pointers for Known Biological Data Be Found Automatically? Protein Interactions as a Case Study

2001 ◽  
Vol 2 (4) ◽  
pp. 196-206 ◽  
Author(s):  
Christian Blaschke ◽  
Alfonso Valencia
Keyword(s):  
Protein Interactions ◽  
Large Scale ◽  
Biological Data ◽  
Positive Finding ◽  
Data Set ◽  
Large Scale Assessment ◽  
Low Coverage ◽  
Standard Protein

The Dictionary of Interacting Proteins(DIP) (Xenarioset al., 2000) is a large repository of protein interactions: its March 2000 release included 2379 protein pairs whose interactions have been detected by experimental methods. Even if many of these correspond to poorly characterized proteins, the result of massive yeast two-hybrid screenings, as many as 851 correspond to interactions detected using direct biochemical methods.We used information retrieval technology to search automatically for sentences in Medline abstracts that support these 851 DIP interactions. Surprisingly, we found correspondence between DIP protein pairs and Medline sentences describing their interactions in only 30% of the cases. This low coverage has interesting consequences regarding the quality of annotations (references) introduced in the database and the limitations of the application of information extraction (IE) technology to Molecular Biology. It is clear that the limitation of analyzing abstracts rather than full papers and the lack of standard protein names are difficulties of considerably more importance than the limitations of the IE methodology employed. A positive finding is the capacity of the IE system to identify new relations between proteins, even in a set of proteins previously characterized by human experts. These identifications are made with a considerable degree of precision.This is, to our knowledge, the first large scale assessment of IE capacity to detect previously known interactions: we thus propose the use of the DIP data set as a biological reference to benchmark IE systems.

scholarly journals A Bayesian approach to exploring the influence of climate variability modes on fire weather conditions and lightning-ignited wildfires

2021 ◽  
Author(s):  
Bryson C. Bates ◽  
Andrew J. Dowdy ◽  
Lachlan McCaw
Keyword(s):  
Climate Variability ◽  
Network Architecture ◽  
Large Scale ◽  
Weather Prediction ◽  
Weather Conditions ◽  
Fire Weather ◽  
Prescribed Burn ◽  
Data Set ◽  
Climate Modes

AbstractUnderstanding the relationships between large-scale, low-frequency climate variability modes, fire weather conditions and lighting-ignited wildfires has implications for fire-weather prediction, fire management and conservation. This article proposes a Bayesian network framework for quantifying the influence of climate modes on fire weather conditions and occurrence of lightning-ignited wildfires. The main objectives are to describe and demonstrate a probabilistic framework for identifying and quantifying the joint and individual relationships that comprise the climate-wildfire system; gain insight into potential causal mechanisms and pathways; gauge the influence of climate modes on fire weather and lightning-ignition relative to that of local-scale conditions alone; assess the predictive skill of the network; and motivate the use of techniques that are intuitive, flexible and for which user‐friendly software is freely available. A case study illustrates the application of the framework to a forested region in southwest Australia. Indices for six climate variability modes are considered along with two hazard variables (observed fire weather conditions and prescribed burn area), and a 41-year record of lightning-ignited wildfire counts. Using the case study data set, we demonstrate that the proposed framework: (1) is based on reasonable assumptions provided the joint density of the variables is converted to multivariate normal; (2) generates a parsimonious and interpretable network architecture; (3) identifies known or partially known relationships between the variables; (4) has potential to be used in a predictive setting for fire weather conditions; and (5) climate modes are more directly related to fire weather conditions than to lightning-ignition counts.

scholarly journals INCLUSIVE GROWTH BY MEANS OF SUSTAINABLE SUPPLY CHAINS: A CASE STUDY OF THE DABBAWALAS OF MUMBAI, INDIA

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Babu George
Keyword(s):  
Business Model ◽  
Global Economy ◽  
Business Models ◽  
Developmental Trajectory ◽  
Cultural Economy ◽  
Special Focus ◽  
Cultural Logic ◽  
Sustainable Supply Chains ◽  
Major Player

As India emerges to become a major player in the global economy, it is essential to understand some of the unique business models that have emerged interacting with its cultural economy and found a place in its developmental trajectory. Of these, the dabbawalas of Mumbai is worth a special mention. The dabbawalas constitute a lunchbox delivery and return system that delivers hot lunches from homes and restaurants to people at work in India. Based on primary research and more recent literature, this paper provides updated perspectives on the dabbawala business with special focus on the sustainability of their business model.  It discusses the dabbawala system performance along multiple aspects of sustainability. The basis of competitive advantage of the dabbawala business model is presented an emergent phenomenon from the cultural logic of the ecosystem.

scholarly journals Inclusive Growth by Means of Sustainable Supply Chains: A Case Study of the Dabbawalas of Mumbai, India

2018 ◽  
Vol 6 (2) ◽  
pp. 5-11
Author(s):  
Babu George
Keyword(s):  
Business Model ◽  
Global Economy ◽  
Business Models ◽  
Developmental Trajectory ◽  
Cultural Economy ◽  
Special Focus ◽  
Cultural Logic ◽  
Sustainable Supply Chains ◽  
Major Player

Abstract As India emerges to become a major player in the global economy, it is essential to understand some of the unique business models that have emerged interacting with its cultural economy and found a place in its developmental trajectory. Of these, the dabbawalas of Mumbai is worth a special mention. The dabbawalas constitute a lunchbox delivery and return system that delivers hot lunches from homes and restaurants to people at work in India. Based on primary research and more recent literature, this paper provides updated perspectives on the dabbawala business with special focus on the sustainability of their business model. It discusses the dabbawala system performance along multiple aspects of sustainability. The basis of competitive advantage of the dabbawala business model is presented an emergent phenomenon from the cultural logic of the ecosystem

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