Why should you learn about Linux? It’s a fast-growing operating system,
and it is inexpensive and flexible. Linux is also a major player in the
small and mid-sized server field, and it’s an increasingly viable platform for
workstation and desktop use, as well. By understanding Linux, you’ll
increase your standing in the job market. Even if you already know Windows
or MacOS and your employer uses these systems exclusively, understanding
Linux will give you an edge when you are looking for a new job or if you are
looking for promotion.
We wrote this book for business school students who wanted an in-depth look at how business
firms use information technologies and systems to achieve corporate objectives.
Information systems are one of the major tools available to business managers for achieving
operational excellence, developing new products and services, improving decision making,
and achieving competitive advantage.
When interviewing potential employees, business firms often look for new hires who
know how to use information systems and technologies for achieving bottom-line business
Decision support systems (DSS) have evolved over the past four decades from
theoretical concepts into real world computerized applications. DSS architecture contains
three key components: a knowledge base, a computerized model, and a user interface. DSS
simulate cognitive decision-making functions of humans based on artificial intelligence
methodologies (including expert systems, data mining, machine learning, connectionism,
logistical reasoning, etc.) in order to perform decision support functions.
Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology,
Information is a crucial component of today's society. With a smaller world, faster communications,
and greater interest, information relevant to a person's life, work, and recreation
has exploded. However, many believe this is not all good. Richard S. Wurman (in a book
entitled Information Anxiety) notes that the information explosion has backfired, leaving
us stranded between mere facts and real understanding.
Information management is vital for today’s businesses. It requires significant investment and
supports critical business processes. With the proliferation of the information economy and
information systems, effective information management determines success of virtually every
business operation. Obtaining business value from vast amount of information collected by businesses
is no longer only a technological challenge. The choice of decision making tools and information
solutions rests with the business, as well as with IT managers....
This book is an introduction to game theory from a mathematical perspective.
It is intended to be a first course for undergraduate students of mathematics,
but I also hope that it will contain something of interest to advanced students
or researchers in biology and economics who often encounter the basics of game
theory informally via relevant applications. In view of the intended audience,
the examples used in this book are generally abstract problems so that the
reader is not forced to learn a great deal of a subject – either biology or economics
– that may be unfamiliar.
Marketing research is the systematic procedure used to gather, record, and analyze new information to help managers make decision about the marketing of goods and services. The many tpes of information gathered can help marketers recruit, retain, and regain customers. The results of research help define the product concept, select the target market, and develop the primary advertising message elements. Pretesting helps detect and eliminate weaknesses before a campaign runs.
This book has been made possible by a sea of efforts. Collating this book was a labour of love. I share the
topic of Decision-making support systems with the reader with a sense of zeal and oceans of enthusiasm.
I think that these attributes are reflected in this book and perhaps make it better.
I wish to thank Sophie Tergeist from Bookboon Ltd for her guidance and Shafaqat Hussain for designing
the cover of this book.
Each chapter in this book was subject to a previous peer-review process.
Tham khảo sách 'efficient decision support systems – practice and challenges in multidisciplinary domains', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
Progress in information technology (IT) has been remarkable, but the best truly is yet to come: the power of IT as a human enabler is just beginning to be realized. Whether the nation builds on this momentum or plateaus prematurely depends on today’s decisions about fundamental research in computer science (CS) and the related fields behind IT. The Computer Science and Telecommunications Board (CSTB) has often been asked to examine how innovation occurs in IT,
Today, approximately one in every hundred babies born in the US is
conceived using ART. Growth in the use and scientific refinement of ART is
carefully monitored by the American Society for Reproductive Medicine
(ASRM) and its affiliate, the Society for Assisted Reproductive Technology
(SART), whose memberships consist of specialists in this field of medicine.
In December 2009, ASRM convened a meeting of professionals, patient
advocates, congressional and federal agency representatives, legal experts,
and consumers to examine the oversight of ART.
Making decisions under conditions of risk and uncertainty is one of the most important activities that managers engage in. Generally, there is a lack of information and a limited amount of time available to make the decision. Procrastinating and not making a decision sometimes has greater risk than making it.
Statistical Prediction Models
Bayes' theorem, as presented above, deals with a clinical prediction problem that is unrealistically simple relative to most problems a clinician faces. Prediction models, based on multivariable statistical models, can handle much more complex problems and substantially enhance predictive accuracy for specific situations. Their particular advantage is the ability to take into account many overlapping pieces of information and assign a relative weight to each based on its unique contribution to the prediction in question.
As with most design development projects, one key challenge was how to select and organize
the content of the notice to address these goals and questions. We used the information and
elements required by the law, organizing them in different ways throughout the process to
arrive at a final organization of the content that worked.
We developed and tested a variety of designs, ultimately structuring the disclosure of
information sharing practices in a table format.
In this paper we present a quantitative and qualitative analysis of annotation in the Hinoki treebank of Japanese, and investigate a method of speeding annotation by using part-of-speech tags. The Hinoki treebank is a Redwoods-style treebank of Japanese dictionary deﬁnition sentences. 5,000 sentences are annotated by three different annotators and the agreement evaluated. An average agreement of 65.4% was found using strict agreement, and 83.5% using labeled precision. Exploiting POS tags allowed the annotators to choose the best parse with 19.5% fewer decisions. ...
The study focuses on the use of information systems in the Heavy Engineering industry in South Africa and the decision to make, buy or rent information systems. Special focus was placed on the factors that influence the decision to make, buy or rent information systems. It is undeniable that changes in the competitive environment, such as technological advances and globalisation, are driving organisations toward new ways of operating. In striving to become flexible, lean, and more competitive, organisations have been increasingly swift to externalise support service functions.
Lecture Quantiative methods for bussiness - Chapter 4 include all of the following contents: Problem formulation, decision making without probabilities, decision making with probabilities, risk analysis and sensitivity analysis, decision analysis with sample information, computing branch probabilities.
After studying this chapter, you should be able to: Describe the major business activities and related information processing operations performed in the human resources management (HRM)/payroll cycle; discuss the key decisions to be made in the HRM/payroll cycle and identify the information needed to make those decisions; identify the major threats in the HRM/payroll cycle and evaluate the adequacy of various internal control procedures for dealing with them.