Soft Computing and Machine Intelligence Journal 

Volume 1, Issue 2, (2021)

Analyzing the Performance of User Generated Contents in B2B Firms Based on Big Data and Machine Learning

Zeinab Shahbazi (a) and Yung-cheol Byun(a)*

(a) Department of Computer Engineering, Jeju National University, Jeju 63243, Korea
* Corresponding author ✉:

Abstract: Social media platforms act as a significant role in human life in recent decades. Marketing scholars show interest in the field of big data based on user-generated content from social media platforms. However, maximum user-generated content is conducted in terms of business-to-consumer (B2C) context to improve the knowledge differences in business to business (B2B) area. The dataset used in the proposed system collects from the Twitter platform. The extracted information is related to eight years of stock data related to 407 companies. Similarly, machine learning techniques are applied to predict data performance. The result of machine learning is converted to the monthly panel dataset. Based on the analysis results, user-generated contents have a considerable impact on companies, showing the differences between B2B and B2C firms. The generated results show that B2C performance is higher and more reliable than B2B. In this process, the consumer's positive response does not affect the stock data performance.

DOI: (In Process)
Hierarchization and Identification of Agile Development Process Success Determinants in the Context of Global Software Development

Saima Rafi (a) and Muhammad Hamza(b)*

(a) School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
(b) School of Big Data & Software Engineering, Chongqing University, Chongqing, 401331, China
* Corresponding author ✉:

Abstract:Global software development (GSD) is the most adaptable phenomenon in the software development industry. To produce good quality and low-cost software, the software industry has been motivated to conduct its development activities across the globe. However, the agile software development process is considered more flexible and practical to develop the strategy within time and budget. Though, while adopting the agile approach in the context of GSD, the software organizations faced several problems. In this study, we identify the success factors that positively impact the agile process activates in the domain of GSD. By adopting the informal literature review, a total of 12 critical success factors are identified. Furthermore, the analytical hierarchy process (AHP) is assumed to rank the identified success factors for their significance to the agile approach in the context of GSD. The AHP result revolving around "team communication and structure," "defined methodology," and "procedure of task coupling" is declared as the highest-ranked success factor for the successful implementation of agile process activities in the context of GSD. The result provides the guidelines to real-world practitioners to consider the most priority success factor to execute the agile process activities effectively and efficiently.

DOI: (In Process)
SCMI Journal

Soft Computing and
Machine Intelligence Journal 

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