E.1.8, E.1.9

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Explain why the aims of human factors may conflict with other design aims.Explain that the ergonomic data required in systems design depends on the role of people in that system.

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Option E Human Factors Design Human Factors Design E.1.8 E.1.9

E.1.8 Explain why the aims of human factors may conflict with other design aims ,[object Object],[object Object]

E.1.9 Explain that the ergonomic data required in systems design depends on the role of people in that system ,[object Object]

Integrating Human Factors and the Design Process ,[object Object],Abstract by V Paquet

[object Object],[object Object],[object Object],Human Factors: the balance between the user and the system

[object Object],[object Object],[object Object],[object Object]

Task ,[object Object],[object Object],[object Object],[object Object],[object Object]

Links ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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BBA 3551, Information Systems Management 1 Course Learning Outcomes for Unit I Upon completion of this unit, students should be able to: 1. Analyze the key differences between data, information, information technology (IT), and information systems (IS). 1.1 Define data, information, IT, and IS. 1.2 Discuss the difference between IT and IS. 1.3 Illustrate the difference between information and data. Course/Unit Learning Outcomes Learning Activity 1.1 Unit Lesson Chapter 1 Unit I Scholarly Activity 1.2 Unit Lesson Chapter 1 Unit I Scholarly Activity 1.3 Unit Lesson Chapter 1 Unit I Scholarly Activity Reading Assignment Chapter 1: The Importance of MIS Unit Lesson In this unit, we explore the importance of management information systems (MIS). MIS have several components such as data, information, hardware, software, processes, and human elements that provide organizations with the tools for decision-making (Kroenke & Boyle, 2017). Before we start a discussion about information systems (IS), let’s first examine what a computer system is. Computers perform a number of tasks (e.g., calculations, word processing, programming, application development). A computer consists of some basic components such as hardware-like memory chips; a hard drive and motherboard, which contain the central processing unit; and software, which tells the computer what to do. There are other hardware components such as a monitor, which helps us to see what the computer is doing, and a keyboard and a mouse, which help us to input data or tell the computer what we want to do. We can apply all of this to better understand an IS. An IS contains five important components: hardware, software, data, procedures, and people (Figure1) (Kroenke & Boyle, 2017). UNIT I STUDY GUIDE Why MIS? BBA 3551, Information Systems Management 2 UNIT x STUDY GUIDE Title An IS contains hardware such as personal computers, tablets, servers, and server farms. It also includes software such as operating systems and applications, which tell the hardware what to do. An IS uses data that can be organized into useful information, such as reports, and the IS uses procedures, such as instructions, to help users understand how to complete tasks (e.g., saving a file, printing a report). Lastly, an IS is used by people who input data and evaluate that data. Let’s use a database as an example. The database is stored using hardware, and the interface for the database is the software. A database contains data that can be organized in some way (e.g., queries, reports), and there are procedures that instruct the users of the system on how to use the database (Kroenke & Boyle, 2017). Compared to IS, information technology (IT) contains four components, and these four components are used for the purpose of producing information (Figure 2) (Kroenke & Boyle, 2017). Products are the goods or commodities that support te ...

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Chapter 9: The People in Information Systems Learning Objectives Upon successful completion of this chapter, you will be able to: • describe each of the different roles that people play in the design, development, and use of information systems; • understand the different career paths available to those who work with information systems; • explain the importance of where the information- systems function is placed in an organization; and • describe the different types of users of information systems. Introduction The opening chapters of this text focused on the technology behind information systems, namely hardware, software, data, and networking. The last chapter covered business processes and the Chapter 9: The People in Information Systems | 189 U. S. Bureau of Labor Statistics – 2020 Projections key role they can play in the success of a business. This chapter discusses people, the last component of an information system. People are involved in information systems in just about every way. People imagine information systems, people develop information systems, people support information systems, and, perhaps most importantly, people use information systems. The Creators of Information Systems The first group of people to be considered play a role in designing, developing, and building information systems. These people are generally technical and have a background in programming, analysis, information security, or database design. Just about everyone who works in the creation of information systems has a minimum of a bachelor’s degree in computer science or information systems, though that is not necessarily a requirement. The process of creating information systems will be covered in more detail in Chapter 10. The following chart shows the U. S. Bureau of Labor Statistics projections for computing career employment in 2020. 190 | Information Systems for Business and Beyond (2019) Systems Analyst The systems analyst straddles the divide between identifying business needs and imagining a new or redesigned system to fulfill those needs. This individual works with a team or department seeking to identify business requirements and analyze the specific details of an existing system or a system that needs to be built. Generally, the analyst is required to have a good understanding of the business itself, the purpose of the business, the business processes involved, and the ability to document them well. The analyst identifies the different stakeholders in the system and works to involve the appropriate individuals in the analysis process. Prior to analyzing the problem or the system of concern, the analyst needs to a) clearly identify the problem, b) gain approval for the project, c) identify the stakeholders, and d) develop a plan to monitor the project. The analysis phase of the project can be broken down into five steps. 1. Se.

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Discussion 1 post responses. Please respond to the following: LG’s post states the following:Top of Form "When Problem Decomposition is not Easy" Consider the development of a simple mobile application that displays personal financial management video clips selected from a central repository. Discuss how you would systematically analyze the requirements of this application and identify its problem components. Using a spiral process of stakeholder engagement which includes understanding the business objectives or needs the application is to provide. Next, looking at the requirements gathering process, whereby sitting with the stakeholders and customers to define those needs, understanding the assumptions and constraints, expectations, and coming up with a conceptual model both from a business and system design. Using the model as a base, the requirements will be developed into a high-level requirement set, where they are broken into the logical grouping, such as business, user, functional, non-functional, and transitional segments. Next, the requirements will be viewed with the stakeholders and customers, to address priority, need vs. want, and addressing any ambiguous requirements to gain clarity for completeness. Explain how software engineering would help you identify the components and their interconnections. Software engineering helps identify the components and their interconnections because the approach requires identification of components such as hardware, software, users, tasks, and databases, amongst other pieces to be determined and understand how each will interact with the others. Some boundaries must be known that similar to the scope of a project to help provide a context on what is in or out. It includes things like the activities that will be performed and the entities associated with the activities. Understanding these provide the developers in the design and development process. For example, the above mention contextual design or model can be used or provide a reference to things like architectural design, displaying these components and interconnections on paper (or visual drawing) to help articulate the boundaries, activities, and entities for the system. Phleeger, S. L., Atlee, J. M. (2009-02-01). Software Engineering: Theory and Practice, 4th Edition [VitalSource Bookshelf version]. Retrieved from vbk://9781323089309 Pochimcherla, A., Pochimcherlahttp, A., & Pochimcherla, A. (2018, January 26). Computer science basics - Decomposition - break a problem into smaller. Retrieved from http://steamism.com/compsci-decomposition/. SP’s post states the following:Top of Form "When Problem Decomposition is not Easy" Please respond to the following: Consider the development of a simple mobile application that displays personal financial management video clips selected from a central repository. Discuss how you would systematically analyze the requirements of this application and identify its problem component ...

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1. Emergence of Software Engineering In the software industry, we have seen the complexity of computer-based systems increase dramatically over the past decades along with advances in technology. This new technology has increased the demand for computer-based systems to control many infrastructures with software. As a result, designing and building cost-effective, reliable, and high-quality software has become the focus of software engineering in the computer industry. In the past the processes used for designing and developing software were very informal, which contributed to the rise in development and maintenance costs. The results of ad hoc development processes contributed to a higher percentage of unreliable and lesser quality products entering the marketplace. Many accidents resulted from failures in computer-based systems with hardware devices that were controlled with software. At the time, the industry was considered to be in a crisis state, which then led to the emergence of new practices and methods in software engineering. Technological advances have had a big impact on the complexity level required in software systems. The emergence of new communication protocols, hardware devices, and graphical user interface components have placed a greater demand on software engineers to design quality, reliable, and safe software. A Brief History of Software Engineering In the 1950s and the early 1960s, the various engineering disciplines were beginning to analyze how aspects of the engineering field could be applied to methods used in developing software products. As computing power evolved over the decades, the demand increased along with the complexity of the problems that needed to be addressed in the design of software. The term software engineering was introduced in 1968 at the first international software engineering conference, held by the North Atlantic Treaty Organization (NATO) Science Committee (Mahoney 2004). Many practitioners believe this is the milestone that marked the emergence of the software engineering discipline. Software was developed to control critical hardware devices in the mid- to late-1960s and early 1970s. During this time, cases emerged that involved operational errors and accidents resulting in the loss of human lives and damage to property. Defects in software were uncovered, which heightened public awareness to the need for better quality and reliability of software. The escalating cost of building quality and reliable software was on the rise in the computer industry and the demand for skilled programmers could not be met. The state of software development was viewed by practitioners as being in a "crisis" state and was commonly referred to as the software crisis. In response to the software crisis, researchers and practitioners have been trying to develop a set of methodologies, processes, and tools as the "silver bullet" for building software. The combination of these methodologies, processes, and tools i ...

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Insurance IoT is a social good! Because: 🔵 Expected losses can be reduced structured programs with both real-time mitigation actions to solve a specific situation, and behavioral change mechanisms to promote safer behaviors (both in personal and commercial lines) 🔵 Rate can be matched to risks better: - Smaller and more accurate pricing clusters allow a large part of profiles to receive a lower rate - Even with the ability to price the individual probability of loss (cluster of one) the insurance foundation isn’t canceled (The risk of each policy will contribute to the expected losses of the portfolio; The premiums paid by many lucky policyholders will be used to pay the claims of the few unlucky policyholders who had an accident in a period of coverage) 🔵 IoT data can be used to increase the effectiveness and efficiency of the claim process, so improving the combined ratio ceteris paribus ⏩ Large part of the policyholders will pay less (and portfolios currently difficult to insure will become more insurable) Insurance IoT (and telematics) is not about providing a discount Insurance IoT (and telematics) is about creating economic value using the data and sharing part of this value with policyholders (and agents & brokers) An integrated holistic adoption of the IoT paradigm is a game changer for your insurance business and a social good: ◾ it allows to improve the availability and affordability of insurance coverages ◾while allowing the sector to write a profitable business Below you can enjoy a selection of best practices in both personal and commercial lines - written with some of the IoT Insurance Observatory members - that have already started to obtain results from their IoT business transformation journeys

Insurers' journeys to build a mastery in the IoT usage

Matteo Carbone

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Insurers' journeys to build a mastery in the IoT usage

E.1.8, E.1.9

1. Option E Human Factors Design Human Factors Design E.1.8 E.1.9

10.

Editor's Notes

E.1.8 Explain why the aims of human factors may conflict with other design aims Examine the notion of optimum compromise and consider cost, form, function, which may be more important aims to achieve in a specific design context. E.1.9 Explain that the ergonomic data required in systems design depends on the role of people in that system Consider an operator of a system or a user of a system. Reduced system efficiency and failures that occur early in the life cycle are frequently caused by poor human factors design.

E.1.8, E.1.9

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E.1.8, E.1.9

Editor's Notes