Introduction to Microservices and AKS

The term “Business intelligence” is described as a plan or a strategy where the operations like reporting, data analysis, data mining, event processing are performed to improve the production and growth of a business enterprise or a business entity. And on the other hand, the “Knowledge management” is explained as well-organized management of resources and information within a commercial organization it can be a business too. Almost all business will have limitations and challenges which can be also known as the business problems. One of the main business problem is demand, the business plans must work according to the demand of the consumers. Analyzing the demand would provide the solutions for queries like what is the business trend? What is the need of the users? What should be the improvement make in the production? Where is the current position of the enterprise? And who all will be the competitors? For the predictive analysis a dataset of bitcoin is taken. The major aim of the study is to implement the strategies to overcome the business problems mainly the demand prediction. And the objective is to find out the relevant issues and the remedies by using knowledge management and business intelligence to the common business problems. The dataset has columns called lowest price, highest price, open price, close price, trading volume and market capital. The research methodology used is predictive analysis using PCA and K-means clustering algorithm. By this dataset predictive plots are developed as achieved results for easy analysis by using research methodology. PCA and K-means are the algorithm used for accurate prediction. The importance of study is to predict the future sale, as it is very essential for a business enterprise to find future demand so that the organization can improve production.

Business schools continue to monitor student perceptions of their curriculum during the ongoing pandemic. 274 graduating business seniors filled out a Spring 2022 exit survey asking their perceptions about the business school’s curriculum improving their abilities on twelve goals. A factor analysis of these twelve individual items resulted in keeping all items and creating three smaller scales (items/scale): Business Problem Solving (6 items), Presentation Skills (3 items) and Team-related Skills (3 items). These three scales were found to be reliable and sufficiently distinct from each other. Overall, students perceived that the business school’s curriculum improved their team-related skills significantly more than business problem solving and presentation skills. Grade Point Average or gender were not related to any scale improvement differences. Paired t-test results included finding that transfer students indicated significantly higher improvement on business problem solving and team-related skills than non-transfer students. In addition, non-quantitative majors showed higher improvement on presentation skills than quantitative majors. A stronger baseline for these three curriculum improvement scales has now been established for follow-up monitoring. Results are further discussed.

The present research aims to use SWOT analysis to identify strategic problems of small business companies (SBCs) from the automotive selling parts of a brazilian city and use the GUT matrix for identifying a Priority Level (PL) result of each problem listed. This case-study is expected to bring improvements to the automotive pole in territory, as a way to quantify and prioritize the actions focused on the weaknesses and threats identified though the SWOT analysis (an acronym for strengths, weaknesses, opportunities, and threats and is a structured method that evaluates those four elements on a strategic way), the GUT matrix (technique for priorization and decision making) will be used according its aspects of severity, urgency and tendency. It finds that solving problems of “Low cooperation between the companies” and increase the level of interaction between the companies will increase generation of information. Solve “infrastructure deficiency and accessibility to the Pole” problems will increase the Association’s recognition and representativeness, bringing closer and enabling the gradual implementation of a more adequate governance.

The halal industry in Indonesia is experiencing significant growth, with an increasing number of business actors involved, including within the pesantren environment. Pesantren have great potential to develop entrepreneurship through creative thinking skills. However, there are challenges in optimizing entrepreneurial creativity among santri. This study aims to explore the influence of creative thinking skills in developing entrepreneurial creativity in halal industry SMEs based in Bobos Cirebon Islamic boarding schools. This research provides novelty by examining the relationship between creative thinking skills and entrepreneurship development in pesantren within the context of the halal industry. The method used is qualitative research with a case study approach, involving in-depth interviews with SME managers and students involved in the halal industry. The results show that creative thinking skills play a crucial role in driving product innovation, solving business problems, and creating new opportunities within halal industry SMEs. Additionally, social support factors and entrepreneurship training in pesantren also strengthen entrepreneurial creativity. In conclusion, the ability to think creatively can be key to developing entrepreneurial creativity in pesantren and increasing the competitiveness of SMEs in the halal industry sector. The social implication of this study is the importance of integrating creativity and entrepreneurship training into the pesantren curriculum to produce creative entrepreneurs who can contribute to the development of the halal industry.

The Management Science theory is one of the theories of management that attributes management effectiveness to the application of scientific methods. It goes a step beyond the famous scientific management theory by applying operations research tools and techniques to solving practical problems. Its origin can be traced to the Second World War in Britain. Its method of expressing business factors in form of variables allows for the accurate prediction of business phenomena and overall optimization of profits. The management science approach uses computer applications and operations research tools to solve business problems around quantitative management, operations research, total quality management and management information systems. Its major limitation is its inability to accurately predict business phenomena that contain behavioral elements. The theory ignores the importance of people, relationships and other non-quantifiable factors. Overall, the management science theory provides a new and proactive way of solving business problems by identifying relationships among different business variables that were previously considered unrelated and so, have provided modern businesses with a better way of doing things.   Key words: Management Science theory, scientific management theory, operations research, total quality management, linear programming.

A failure implementation of enterprise resource planning, ERP System can be a disaster for organizations, as the fee of a ERP system is sky-high. Furthermore, a familiar user of an ERP system is required an exhaustive business knowledge to analysis business operation flows to diagnose and solve business problems. These complex business analysis, diagnose and issues solving may require mentoring rather than training of a particular skill. There is, however, only very limited research addresses to the effects of mentoring on ERP system implementation. This paper argues that mentoring can play an important role of moderating in affecting user's perceived usefulness, satisfaction and intention to continue use.

This paper proposes the use of multi-agent simulation model for making decisions on business process design in emergent organisations. Empirical and theoretical evidence makes it explicit that theoretical models are useful in defining and solving business problems. It is difficult to gauge the value of new business ideas in a real life business environment and simulation of complex business processes is a potential solution. The simulation process can be repeated as theoretical experiments until simulated results fall within the recommended level. These decisions can then be incorporated with confidence into the real life decision-making process. We critically discuss challenges and opportunities in the areas of managing carbon-footprint and environmental reporting. We show how to build a multi-agent simulation model of business processes as complex adaptive systems and how it can form a decision making tool. In this process, the theory of deferred action is invoked as the base theory.

Data mining is a technique that involves evaluating big data in order to reveal patterns or connections that can aid in solving business problems through the analysis of data. Exceptional model mining (EMM) is a system for finding local patterns in a dataset by identifying subgroups whose behavior deviates substantially from that which is anticipated. Incremental learning allows the model to continuously learn from new examples while retaining prior knowledge. In the instance of EMM, incremental learning increases the process by adding new training samples, which helps to enhance the model's performance over time. This research presents an incremental learning approach in EMMiner (InEMMiner) using a deep learning model. A novel hybrid optimizing algorithm, double exponential‐running city game optimizer (DE‐RCGO), is proposed by putting together double exponential smoothing (DES) and running city game optimizer (RCGO) for the purpose of finding outstanding subgroups in within‐individual clusters. To assess quality of these subgroups, four different metrics are suggested: (1) a combination of weighted Kraskov entropy with a support vector machine (SVM), (2) a combination of weighted Fuzzy entropy with an Autoencoder, (3) a combination of weighted Boltzmann entropy with a gated recurrent unit (GRU), and (4) a metric that combines weighted Gibbs entropy with isolation forest. Such measures are incorporated in the EMMiner system in order to effectively filter and prioritize most appropriate exceptional subgroups with an improvement on overall EMM task performance. InEMMiner incorporates an incremental learning approach using a deep learning model, TabNet, which is further optimized by the proposed DE‐RCGO algorithm. Experimental results validate the efficiency of the model, with quality metric achieving a value of 98.9%, memory usage of 985.65 MB, and a computational time of 81.52 s.

Action Research (AR) is a powerful method involving an iterative and circular process of planning, evaluation, intervention and assessment, to generate/test theory, and solve business problems. Although not yet widely used in marketing, it is well suited to our domain. Caveat Emptor is counsel for those who plan to adopt AR to be well prepared with appropriate skills and resources. We examine the decision processes behind the choice and application of 'high level' emancipatory type AR in the context of IMC. Our contribution is a broadly generalisable Action Research Risk/Reward Matrix.

Journal of the American Society for Information ScienceVolume 48, Issue 9 p. 862-863 Book Review Data mining with neural networks: Solving business problems from application development to decision support Alan T. Schroeder Jr., Corresponding Author Alan T. Schroeder Jr. “alansc@scups.edu”@deltanet.com Research Librarian, Webmaster, Southern California University for Professional Studies, Santa Ana, CA 92705-8605Research Librarian, Webmaster, Southern California University for Professional Studies, Santa Ana, CA 92705-8605Search for more papers by this author Alan T. Schroeder Jr., Corresponding Author Alan T. Schroeder Jr. “alansc@scups.edu”@deltanet.com Research Librarian, Webmaster, Southern California University for Professional Studies, Santa Ana, CA 92705-8605Research Librarian, Webmaster, Southern California University for Professional Studies, Santa Ana, CA 92705-8605Search for more papers by this author First published: 07 December 1998 https://doi.org/10.1002/(SICI)1097-4571(199709)48:9<862::AID-ASI12>3.0.CO;2-TCitations: 1AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article.Citing Literature Volume48, Issue9September 1997Pages 862-863 RelatedInformation

Business Intelligence and Service Oriented Architecture – Improving IT Investments

"Solving Business Problems by Simulation." Journal of the Operational Research Society, 40(3), pp. 306–307

Business schools around the world are increasingly integrating design thinking into their curricula, which invites definition of a new professional identity for individuals effectively working at the intersection of the two fields. Research is needed, however, to understand what such a profession might entail and in what ways students might best be prepared to enter it. Defining the capabilities that a design thinking business professional will embody requires an understanding of the ways design thinking complements or contradicts more traditional critical thinking approaches applied to business decisions. This chapter adopts a framework grounded in learning theory to describe the four basic capabilities needed to frame and solve problems in practice: observing and noticing; framing and reframing; imagining and designing; and making and experimenting. Using that framework, it unpacks the contributions that design and critical thinking make to the development of each of the capabilities in a business setting and highlights challenges associated with helping business students learn design thinking and how they might use it to complement other approaches to framing and solving business problems.

© 2018, The Author(s) 2018. A questioning of the neoliberal consensus in the global economic order is creating turbulence in Western democracies. Long regarded as the only viable capitalist model, neoliberalism is now subjected to increasing scrutiny. Management education that has been aligned to a neoliberal worldview must now respond to this shifting landscape in order to retain its legitimacy. One core element of management education undergoing revision as a result is the case method of teaching. The case method’s traditionally narrow focus on training students to solve business problems is increasingly problematic in an environment where the structure of the capitalist system in which firms operate is now a topic of debate. To address this, we argue for a reconceptualization of the case method’s relationship with theory. This has conventionally taken two forms: a hostility to any inclusion of theory in the analytical process and an approach that uses theory as an instrument for profit maximization. We propose an alternative third approach that encourages students to engage in a critical questioning of business-as-usual capitalism from the perspective of multiple stakeholders, including managers, employees, unions, not-for-profit organizations, government, and the natural environment.

This paper's primary purpose is to address the business issues and management concerns that arise in healthcare organisations of the knowledge age, and to explore the impact of Application Services Provision (ASP) in this vertical industry sector. It will examine the strategies that will enable healthcare organisations to better manage ASP resources, in the knowledge age, for competitive advantage. While the phenomenon of ASP is still in an embryonic stage, we draw from seminal works of IS pioneers like Markus, Porter, Checkland, Maslow and others. Their intellectual contributions, plus findings from research work at Brunel University, provide a framework for discussion. ASP delivers personal productivity software and professional support systems, assisting healthcare organisations in processing information, solving business problems, developing new products, and creating new knowledge. The need to exploit ASP capabilities to achieve sustainable competitive advantage in e-business strategy is clearly defined in this paper.