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The BCG matrix. 1) Dogs: These products are characterized by low growth rates and market shares. 2) Question marks or problem child: These products are in high-growth markets with low market shares. 3) Stars: These products thrive in high-growth markets and enjoy substantial market shares. 4) Cash cows: These are products that operate within low-growth markets but possess significant market shares
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This study explores the integration of data mining, customer relationship management (CRM), and strategic management to enhance the understanding of customer behavior and drive revenue growth. The main goal is the use of application of data mining techniques in customer analytics, focusing on the Extended RFM (Recency, Frequency, Monetary Value and...
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Context 1
... BCG matrix has gained significant prominence in the business world and is regarded as one of the most influential strategic tools ever developed (Hambrick et al., 1982). The BCG matrix for this paper is shown in Figure 2. ...
Context 2
... BCG matrix has gained significant prominence in the business world and is regarded as one of the most influential strategic tools ever developed (Hambrick et al., 1982). The BCG matrix for this paper is shown in Figure 2. ...
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Citations
Behavioral customers of library are changing now. Most university students prefer to reserve the study-room services than borrow books. In campaign planning, the university’s library focuses on study-room services and needs the decision support system. Therefore, this research designed and developed this system. The objective of this paper aims to demonstrate the integrating concepts between RFM (recency, frequency, monetary) and business intelligence for supporting library analytics. For research methodology, the research illustrated the design and development based on RFM and business intelligence, namely BI-Clib. The design process consisted of system architecture, use case diagram, ER diagram, and dimensional design. The examples of user interface were presented in user roles at the development process. BI-Clib provided rights and features based on three user roles: admin, managers, and CRM officers. In future works, developers and libraries can apply the study’s demonstration in their works.
Consumer behaviour studies consumers' processes to select, use (consume), and dispose of products and services. This research investigates the factors influencing consumer behaviour by considering the role of personality and behavioural characteristics. This study adopts an applied research approach that focuses on understanding the influence of personality traits and behavioural characteristics on consumer behaviour outcomes, particularly satisfaction and loyalty. This study aims to discover the relationships between these variables through a correlational research design. This study is based on a positivist research philosophy and uses systematic empirical observation and rigorous scientific methods to investigate these phenomena in the context of consumer behaviour research. Standard questionnaires were used to measure research variables. The study population consists of consumers living in urban areas of England who have recently purchased products or services from various industries, including retail, technology and healthcare. Based on the Morgan table, a minimum sample size of 384 participants was targeted to achieve adequate statistical power for the analyses. To minimize the bias and increase the generalizability of the results, 500 questionnaires were distributed among the statistical sample. Data were collected through a combination of online surveys and face-to-face interviews. Data analysis was done using SmartPLS 4. The results of the research showed that personality and behavioural characteristics have a significant effect on consumer behaviour. Conscientiousness had the most significant impact on consumer satisfaction and loyalty among the investigated personality traits. Also, regarding behavioural characteristics, decision-making styles showed the most potent effect on consumer satisfaction.
