Solve Business Problems Research Articles

A Taxonomy of Data Mining Problems

Much of the research in data mining and knowledge discovery has focused on the development of efficient data mining algorithms. Researchers and practitioners have developed data mining techniques to solve diverse real-world data mining problems. But there is no single source that identifies which techniques solve what problems and how, the advantages and limitations, and real-life use-cases. Lately, identifying data mining techniques and corresponding problems that they solve has drawn significant attention. In this paper, the author describes the progress made in developing data mining techniques and then classify them in terms of data mining problems taxonomy to help assist practitioners in using appropriate data mining techniques that solve business problems. This will allow researchers to expand the body of knowledge in this discipline. This article proposes a data mining problems taxonomy based on data mining techniques being used. Prominent data mining problems include classification, optimization, prediction, partitioning, relationship, pattern matching, recommendation, ranking, sequential patterns and anomaly detection. The data mining techniques that are used to solve these data mining problems in general fall under top 10 data mining algorithms.

Know When to Run: Recommendations in Crowdsourcing Contests

Crowdsourcing contests have emerged as an innovative way for firms to solve business problems by acquiring ideas from participants external to the firm. As the number of participants on crowdsourcing contest platforms has increased, so has the number of tasks that are open at any time. This has made it difficult for solvers to identify tasks in which to participate. We present a framework to recommend tasks to solvers who wish to participate in crowdsourcing contests. The existence of competition among solvers is an important and unique aspect of this environment, and our framework considers the competition a solver would face in each open task. As winning a task depends on performance, we identify a theory of performance and reinforce it with theories from learning, motivation, and tournaments. This augmented theory of performance guides us to variables specific to crowdsourcing contests that could impact a solver’s winning probability. We use these variables as input into various probability prediction models adapted to our context, and make recommendations based on the probability or the expected payoff of the solver winning an open task. We validate our framework using data from a real crowdsourcing platform. The recommender system is shown to have the potential of improving the success rates of solvers across all abilities. Recommendations have to be made for open tasks and we find that the relative rankings of tasks at similar stages of their time lines remain remarkably consistent when the tasks close. Further, we show that deploying such a system should benefit not only the solvers, but also the seekers and the platform itself.

ANALYSIS OF FACTORS AFFECTING SUPPLY CHAIN PERFORMANCE IN SME TEMPE CHIPS IN SANAN VILLAGE MALANG

Small Medium Enterprise (SME) that has good supply chain performance can help its ability to solve business problems. In fact, there are still a lot of SMEs that fail in supply chain management due to many factors influencing their implementation. This research aims to analysis relation between factors influencing supply chain and the performance of supply chain management in Tempe Chips Industries in Sanan Village Malang.Data collections were done through questionnaire deployed to 200 owners or manager of Tempe Chips SME in SananVillage, Malang. Data were analyzed using Structural Equation Modeling (SEM). Analysis result shows that information sharing and customer service give the most dominant influence to supply chain management’s performance in Sanan’s Tempe Chips industries.

Overcoming the Problem With Solving Business Problems: Using Theory Differently to Rejuvenate the Case Method for Turbulent Times

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.

Data Mining Techniques and Applications

Data mining has been gaining attention with the complex business environments, as a rapid increase of data volume and the ubiquitous nature of data in this age of the internet and social media. Organizations are interested in making informed decisions with a complete set of data including structured and unstructured data that originate both internally and externally. Different data mining techniques have evolved over the last two decades. To solve a wide variety of business problems, different data mining techniques are developed. Practitioners and researchers in industry and academia continuously develop and experiment varieties of data mining techniques. This article provides an overview of data mining techniques that are widely used in different fields to discover knowledge and solve business problems. This article provides an update on data mining techniques based on extant literature as of 2018. That might help practitioners and researchers to have a holistic view of data mining techniques.

Trzecia platforma ICT w transformacji cyfrowej organizacji inteligentnych

SMAC (social, mobile, analytics and cloud) is the concept that four technologies are currently driving business innovation. SMAC creates an ecosystem that allows a business to improve its operations and get closer to the customer with minimal overhead and maximum reach. The proliferation of structured and unstructured data that is being created by mobile devices, sensors, social media, loyalty card programs and website browsing is creating new business models built upon customer- generated data. None of the four technologies can be an afterthought because it’s the synergy created by social, mobile, analytics and cloud working together that creates a competitive advantage. Social media has provided businesses with new ways to reach and interact with customers, while mobile technologies have changed the way people communicate, shop and work. Analytics allow businesses to understand how, when and where people consume certain goods and services and cloud computing provides a new way to access technology and the data a business needs to quickly respond to changing markets and solve business problems. While each of the four technologies can impact a business individually, their convergence is proving to be a disruptive force that is creating entirely new business models for service providers.

Investigate Economical Decision System Framework to Support Gas Crisis - Case Study: UAE

Decision Support Systems (DSS) are mainly computer based applications include essential component called Database to support rational Decision Making process by analyzing, determining and evaluating the available raw data, documentations, knowledge to reach rational alternative set of actions, identify and solve business problems, and present various economical business decisions. UAE has been determine more than ten years ago a clear strategy to reduce the dependency of their GDP on Oil products. The main aim of this paper is to analyze the UAE’s oil independence strategy and to propose a Decision Support Framework (DSF) generalizing their excellent perspective for the other oil producer countries to determine the most appropriate economical alternative solution as a substitute for a Gas Crisis. In this article, one of the famous DSS is used; Group Decision Support system is the most suitable tool for the investigated problem to build an effective Decision Support to help the oil producer countries for the sack of their GDP’s oil independency.The proposed DSF will help the users to achieve their main competitive advantage through effective acts in innovation. Its simulate the UAE strategy through the new technologies as well as modern techniques that used to create new things has never been made before and can be recognized as a unique product. This article introduced a DSF to support the oil producer countries to diversify their GDP resources and to reduce its oil dependency.

Overcoming the Impact of Corruption through Diligence: The Experience of Russian Female Managers

ABSTRACTThis article proposes that managerial time spent dealing with regulations, in addition to being a reflection of regulatory burden, can also be partially accounted by managerial strategy and propensity to “play by the rules” rather than rely on informal corrupt means to solve business problems in Russia. Using top-manager gender as a proxy for such behaviors, the study finds that firms headed by female managers are more likely to devote more time to dealing with regulations, and to protect their interests in courts. Such firms are less likely to be in a situation where corrupt requests are made, and also minimize corruption impact such as relative size of payments, when actually exposed to corruption pressures. It appears that there are non-spurious gender effect persisting after controlling for multiple firm- and region- level variables. With regards to managerial time spent on dealing with regulations in particular, it appears that the gender effects are reflected in differential responses to corrupt pressures (e.g. spending more time dealing with regulations), but increase in time tax by itself does not appear to limit impact of corruption, except waiting times for operating license, which are shortened. Implications for theory and practice are discussed.

Promoting the Entrepreneurial Success of Women Entrepreneurs Through Education and Training

To support early stage women entrepreneurs there is a need to increase their performance and growth potential through entrepreneurial education and training. The objective of the study is to develop a theoretically and empirically based entrepreneurship education and training for early stage women entrepreneurs. The focus of this study is placed exemplarily on early stage women entrepreneurs in Germany and Ireland. The components, program goals, program elements, as well as the participants’ characteristics, the program’s contextual environment, and the availability of funding for operations provide a framework for designing a theoretically and empirically based program to help early stage women entrepreneurs increase their entrepreneurial success. This Entrepreneurship Education and Training is built on the core dimensions of entrepreneurship education action-orientation, autonomy and the interplay between risk and responsibility. Action-orientation is reflected in acting in learning to solve business problems in one’s own company. Autonomy is manifested by selecting individual learning objectives. Interplay between risk and responsibility is shown through taking responsibility for individual and organizational development, which participants will learn is in part a risk-taking process. Because we expand on these core dimensions, entrepreneurial learning can be understood as learning through entrepreneurial action, reflection and narration. The design of the program targeted at early stage women entrepreneurs not only shows how the core components of an entrepreneurial education and training program can be designed for the specific target group of early stage women entrepreneurs in Germany and Ireland, but also how the Entrepreneurship Education and Training Effectiveness Framework can be enriched. We include the process of deriving program and learner goals as a critical starting point for designing programs affecting both learning performance and outcome.

Let’s Tell a Story Together

Aim/Purpose: The teaching solution presented in this paper was implemented to overcome the common problems encountered by authors during years of practice of applied business studies teaching. Background: In our school, we have deep multicultural environments where both teachers and students are coming from different countries and cultures. The typical problems encountered with students include: not reading the case studies, language problems, different backgrounds and cultures, a different understanding of leadership in teamwork related to various management traditions, lack of student participation, and engagement in teamwork. Methodology : The above problems were solved on the basis of the novelty use of several tools usually used separately: a combination of case studies with visualization and current representation of knowledge related to the case study. The visualization context is provided by “rich picture” (as a part of SSM methodology) to create a shared understanding among students. Another ingredient of the proposed solution is based on Pacific storytelling tradition and the Pacific methodology of solving problems. Contribution: It was suggested the new delivery model strengthening advantages of case studies. Findings: Studies and surveys made from 2009 to the present are promising. There is a visible improvement in students’ grades and observed changes in students’ behavior toward more active in-class participation. Recommendations for Practitioners: This paper focuses on implementation and technical aspects of the presented method. However, the application of the presented method needs robust and time-consuming preparation of the teacher before the class. Recommendation for Researchers: The current results show that the proposed method has the potential to improve students’ experience in applied business courses. The project is ongoing and will undergo progressive changes while collecting new experiences. The method may be applied to other types of courses. By focusing on the storytelling and rich picture, we avoid technological bias when we teach business problem-solving. We focus instead on teaching students the social-organizational interactions influencing the problem solution. Impact on Society: Implementing of cultural sensitivity into the teaching process. Making teaching process more attractive for multicultural students. Future Research: Reducing teacher overload when using the method presented by the development of computerized tools. This is undergoing through utilizing Unreal Engine. Also, it is planned to enhance our team by artists and designers related to computer games.

The Impact of the Implementation of Business Intelligent to Support Decision-Making in the American Banking Industry: A Literature Review

In facing globalization era, companies need to have innovation to survive in business competition. A change is needed to make a successful inovation, when a company needs a leader who has a strong managerial ability. The application of technology, in this case is business intelligence (BI), is an innovation that can becarried out by the management leader to survive in the complex world competition by finding appropriate decisions to solve business problems. This article was a literature review that concerned to exploration of the role of leadership and managerial ability in the application of BI on First American Company (FAC). The authors retrieved articles from google scholar with keywords, such as: leadership, managerial ability, and business. The implementation of BI on FAC proves to be a successful innovation formulated by the managementwho manage to change the company's financial situation that loss into a profit and managed to become the market leaders. In addition, this article also presented some cases of successful BI implementation which helped resolving credit problems and segmentation

Think Like a Hacker.

Ready or not, the Internet of things (IoT) is here. No longer just a buzz term, it'll continue to grow at an unprecedented pace over the next few years expecting to reach over 25 billion connected devices by 2020. History shows us that most fast growth technology solutions focus on solving business problems first and security is an afterthought. Unfortunately, IoT is following the same trend. Most IoT devices, apps, and infrastructure were developed without security in mind and are likely going to become targets of hackers. According to some security experts, major cyberattacks against the IoT devices are looming. According to the FBI, criminals can gain access to unprotected devices used in home health care, such as those used to collect and transmit personal monitoring data or time-dispensed medicines. Once criminals have breached such devices, they gain access to any personal or medical information stored on the devices, as well as the power to change the coding that controls the dispense mechanism of medicines or health data collection. This can result in major health issues and potential loss of lives. Are organizations ready to protect themselves? What are the key vulnerable points? There are various steps that companies can take to raise the barrier. In this article, we'll talk about the background, issues, potential attack vectors liable to be hacked, protection strategies, and more.

A Study on the Relative Importance of Underlying Competencies of Business Analysts

Business analysis is a key factor of project success or failure in information systems. However, there are few studies on business analysis competencies. The objective of this paper is to identify which competencies a business analyst (BA) needs, and analyze the importance weights and priorities of business analysis competencies. Literature review yielded 6 competency dimensions and 30 competencies. Based on interviews with 12 experts and analytic hierarchy process analysis, the relative importance weight and priority of each business analysis competency were analyzed. Moreover, an importance–perception gap between stakeholders in different positions was identified. This result can be used as selection and development criteria for superior BAs that are responsible for solving business problems using information systems solutions.

Neuroscience Analysis Approach to Investigating the Effect of Positive and Negative Emotion on Decision-Maker’s Business Problem-Solving Creativity under Uncertainty

본 연구에서는 경영의사결정 과제 수행 시 의사결정자의 감성이 의사결정의 대안선택 성향과 성과에 어떠한 영향을 미치고 어떠한 인지적 특정을 갖는지 확인하기 위하여, 행동실험을 수행함과 동시에 뉴로사이언스 연구방법 중 하나인 뇌파(EEG) 측정을 통한 실증적 연구를 수행하였다. 특히 본 연구에서는 의사결정자가 불확실성이 수반된 경영 의사결정문제를 해결하고자 할 때 긍정, 부정감성이 의사결정의 성과, 즉 비즈니스 문제해결 창의성에 어떻게 영향을 주는지를 뉴로사이언스 관점에서 분석하고자 한다. 이를 위하여 부정적 감성상태와 긍정적 감성상태의 두 그룹으로 구분된 피실험자들에게 퍼지인식도를 작성하는 경영의사결정 과제를 수행하게 하였으며, 과제 수행 시 피실험자들의 뇌파활동과 의사결정 활동의 결과물에 대한 성과, 즉 비즈니스 문제해결 창의성을 측정 하였다. 연구 결과 불확실성에 대처하는 의사결정자의 의사결정 성향과 의사결정 성과에 있어서 부정적 감성 그룹과 긍정적 감성 그룹 간에 유의한 차이가 있는 것으로 확인되었다. 특히, 부정감성 그룹이 긍정감성 그룹보다 불확실성에 보다 관대한 성향을 보였으며, 의사결정의 성과가 더 큰 것으로 나타났다. 이러한 결과는 우려 등과 같은 부정적 감성이 경영의사결정 상황과 같은 맥락에서 긍정적 감성보다 높은 비즈니스 문제해결 창의성 성과를 낼 수 있음을 보여주는 것이라 할 수 있다. 또한, 과제 수행 시 측정한 뇌파 데이터의 분석결과, 부정감성 그룹과 긍정감성 그룹 간에 의사결정 과제 수행 시 활성화되는 뇌파의 종류와 발현되는 부위간에 유의미한 차이가 있는 것이 확인되어, 인지 과정 상에도 차이가 있음을 확인하였다. 즉, 의사결정 과제 수행 시 부정감성 그룹에게는 창의성 발현과 관련된 뇌 영역 및 뇌파 활성화 수준이 상대적으로 높게 나타났으며, 이를 통해 행동실험의 결과를 뉴로사이언스 방법으로도 지지할 수 있음을 알 수 있었다.

Profit from science: solving business problems using data, math, and the scientific process

Profit from science: solving business problems using data, math, and the scientific process

RELEVANSI DAN KEKUATAN HUKUM AKTA PERDAMAIAN DALAM PENYELESAIAN SENGKETA DI BIDANG EKONOMI

Business relationships can give rise to disagreements that need to be resolved through the procedures for handling civil cases. In practice to solve business problems, the parties can make a peace agreement in the form of a deed under hand or a notarial deed known as a deed of peace. Mediation is a part of the stage of completion of a court that is required is offered by the judges and may terminate the proceedings if it obtained an agreement in mediation by the litigants. However, to simplify the process of resolving civil cases the parties can make advance a peace agreement in the form of a deed under hand or a notarial deed. Furthermore, the deed of peace created in front of the notary, submitted to the court to obtain a determination of the judges to get legal certainty.Keywords: The Power of Law, Deed of Peace, Dispute Resolution

The Theory of Practice and the Practice of Theory

As academics who interact with senior and mid-level business managers on a regular basis, both informally and as consultants, the authors often note that ideas of theory and practice are not well developed among people outside of academia. It is posited that this deficit offers the prospect of less than optimal approaches to matters such as solving business problems, understanding the role of management education and nurturing useful interaction between businesses and business schools. This paper attempts to explain the role of theory and its relationship to practice in a business setting so that it can act as a standing reminder for business practitioners.

Nature and characteristics of management consulting in Serbia

Given the current trends in the consulting countries of our region, as well as the degree of development of guidelines consulting with EU countries, the market for consultancy services in Serbia has not been significantly developed in the past. Owners and managers of companies are still not enough to feel the need for external services, which would solve business problems. Bearing in mind the level and quality of demand, not offer to consult services has not reached the required level. Accordingly aim at this paper is to examine the nature and developmental aspects of management consulting in Serbia in the transformation of the economy towards market business model. The research results show that the development of the market of consulting services is not a simple or easy task that can be accomplished in a short period and with modest financial contribution to the country. Local private consulting sector often lacks not only an interest in this area, but the real capacities, and entrepreneurs are willing to spend their time and money only to services from which they can see direct benefits in a very short period of time. In such circumstances, private market these service can hardly be generated independently.

Harnessing Web 2.0 for ERP Implementations

The paper discusses the enterprise resource planning (ERP).ERP implementation solves business problems by customizing and integrating off-the-shelf enterprise software packages. A successful ERP implementation involves extensive collaboration and communication among the customer, implementation consultancy, and software vendor. Collaboration allows implementation personnel from different organizations to utilize each other's experiences. An example of this is the Web 2.0. A Web 2.0 knowledge repository system can reduce costs, improve quality, and lower the risks of ERP implementations.Through the case study, the key desired features for Web 2.0 knowledge repository system to support ERP implementations were defined. Epics was designed to fulfill these requirements and developed a prototype. Epics can be used by software vendors, ERP consulting firms, and ERP users. Human aspects play a critical role in ERP implementation. ERP implementation quality depends largely on how the implementation personnel's knowledge and past experiences are reused and communicated. Although knowledge reuse, collaboration, and communication are important for all software projects, they're particularly critical in ERP implementation owing to its unique challenges.

ФОРМИРОВАНИЕ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНТНОСТИ У СТУДЕНТОВ-ЭКОНОМИСТОВ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ДЕЛОВОЙ КОММУНИКАЦИИ

В статье рассматриваются теоретические предпосылки для формирования и усовершен­ствования у студентов межкультурной компетентности как структурного компонента иноязычной профессиональной коммуникативной компетентности, обосновывается не­обходимость использования интерактивных форм работы, изучаются их дидактические возможности и предлагаются некоторые упражнения. Такая задача обусловлена тем, что студенты экономических специальностей, которые специализируются в сфере междуна­родных экономических отношений, нуждаются в развитии умений деловой коммуникации с учетом ее межкультурных особенностей. Изучение студентами основ устной и письмен­ной деловой коммуникации на иностранном языке должно проходить в интерактивных формах работы с образцами документов, с аутентичными текстами для чтения и ау­дирования, чтобы усвоить терминологию, расширить знания социокультурного контек­ста деловых контактов и научиться применять эти знания при моделировании ситуаций делового общения. На основе результатов исследования утверждается, что использование приемов интерактивного обучения позволит студентам решать деловые проблемы, разви­вать свои творческие способности в процессе профессионально ориентированной деятель­ности и соблюдать межкультурные нормы общения.