In Defense of the Land Residual Theory and the Absence of a Business Value Component for Retail Property

1995 ◽  
Vol 10 (2) ◽  
pp. 203-215
Author(s):  
Norman Miller ◽  
Steven Jones ◽  
Stephen Roulac
Keyword(s):  
Business Value ◽  
Retail Property

Building Business Value: The New Path to Preferred Supplier Status

The Synergist ◽  
2005 ◽  
Vol 16 (2) ◽  
pp. 28
Author(s):  
Joe Bialowitz
Keyword(s):  
Business Value

The Potential Of Blockchain Technology To Change International Mobile Roaming Business Model

2019 ◽  
Vol 5 (1) ◽  
pp. 15-22
Author(s):  
Ardian Thresnantia Atmaja
Keyword(s):  
Business Model ◽  
Current Situation ◽  
Business Value ◽  
Third Party ◽  
Fundamental Aspect ◽  
Clearing House ◽  
Blockchain Technology ◽  
Smart Contract ◽  
Target Architecture ◽  
Architecture Development

The key objectives of this paper is to propose a design implementation of blockchain based on smart contract which have potential to change international mobile roaming business model by eliminating third-party data clearing house (DCH). The analysis method used comparative analysis between current situation and target architecture of international mobile roaming business that commonly used by TOGAF Architecture Development Method. The purposed design of implementation has validated the business value by using Total Cost of Ownership (TCO) calculation. This paper applies the TOGAF approach in order to address architecture gap to evaluate by the enhancement capability that required from these three fundamental aspect which are Business, Technology and Information. With the blockchain smart contract solution able to eliminate the intermediaries Data Clearing House system, which impacted to the business model of international mobile roaming with no more intermediaries fee for call data record (CDR) processing and open up for online billing and settlement among parties. In conclusion the business value of blockchain implementation in the international mobile roaming has been measured using TCO comparison between current situation and target architecture that impacted cost reduction of operational platform is 19%. With this information and understanding the blockchain technology has significant benefit in the international mobile roaming business.

scholarly journals Measuring Software Maintainability with Naïve Bayes Classifier

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 136
Author(s):  
Nayyar Iqbal ◽  
Jun Sang ◽  
Jing Chen ◽  
Xiaofeng Xia
Keyword(s):  
Business Processes ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Business Value ◽  
Software Components ◽  
Naive Bayes Classifier ◽  
Bayes Classifier ◽  
Naïve Bayes Classifier ◽  
Error Type ◽  
Software Maintainability

Software products in the market are changing due to changes in business processes, technology, or new requirements from the customers. Maintainability of legacy systems has always been an inspiring task for the software companies. In order to determine whether the software requires maintainability by reverse engineering or by forward engineering approach, a system assessment was done from diverse perspectives: quality, business value, type of errors, etc. In this research, the changes required in the existing software components of the legacy system were identified using a supervised learning approach. New interfaces for the software components were redesigned according to the new requirements and/or type of errors. Software maintainability was measured by applying a machine learning technique, i.e., Naïve Bayes classifier. The dataset was designed based on the observations such as component state, successful or error type in the component, line of code of error that exists in the component, component business value, and changes required for the component or not. The results generated by the Waikato Environment for Knowledge Analysis (WEKA) software confirm the effectiveness of the introduced methodology with an accuracy of 97.18%.

scholarly journals A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter

2021 ◽  
Author(s):  
Irina Wedel ◽  
Michael Palk ◽  
Stefan Voß
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Topic Modeling ◽  
New Product ◽  
Business Value ◽  
Data Driven ◽  
New Product Introduction ◽  
Social Media Analytics ◽  
Product Introduction ◽  
Textual Data

AbstractSocial media enable companies to assess consumers’ opinions, complaints and needs. The systematic and data-driven analysis of social media to generate business value is summarized under the term Social Media Analytics which includes statistical, network-based and language-based approaches. We focus on textual data and investigate which conversation topics arise during the time of a new product introduction on Twitter and how the overall sentiment is during and after the event. The analysis via Natural Language Processing tools is conducted in two languages and four different countries, such that cultural differences in the tonality and customer needs can be identified for the product. Different methods of sentiment analysis and topic modeling are compared to identify the usability in social media and in the respective languages English and German. Furthermore, we illustrate the importance of preprocessing steps when applying these methods and identify relevant product insights.

scholarly journals The COVID-19 Pandemic and Commercial Property Rent Dynamics

2021 ◽  
Vol 14 (8) ◽  
pp. 360
Author(s):  
Roddy Allan ◽  
Ervi Liusman ◽  
Teddy Lu ◽  
Desmond Tsang
Keyword(s):  
Public Health ◽  
Real Estate ◽  
Asia Pacific ◽  
Pacific Region ◽  
Asia Pacific Region ◽  
Health Crisis ◽  
Commercial Property ◽  
Public Health Crisis ◽  
Industrial Sectors ◽  
Retail Property

This paper utilizes timely proprietary data to examine the contemporary impact of the COVID-19 pandemic on commercial property rent dynamics in the Asia–Pacific region. Given that the Asia–Pacific region was the first to be impacted by the public health crisis, it is important to examine how the COVID-19 pandemic has affected the real estate markets in this region and to assess how the region has been recovering since then. Our regression analysis, controlling for different macroeconomic fundamentals and city and property type fixed effects, documents substantial declines in rents of approximately 15% during the first six months of 2020 across the Asia–Pacific commercial property market. We further observe that the most significant declines in rent occur in regions where exposure to the COVID-19 pandemic is the more severe, and in the retail property sector, where we have been observing continued declines of over 30%, with little recovery as of the second quarter of 2020. In additional analysis, we examine capital values and show that while capital targeting the retail property sector has been muted, there is some evidence showing capital flows into the residential and industrial sectors. We also show that fiscal stimuli imposed by governments have moderated the adverse impact of the pandemic. Overall, our study shows that while the effect of the COVID-19 public health crisis is detrimental to commercial real estate, its impact varies significantly across different regions and property sectors.

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