Computer Systems and the Digital Business Environment

Introduction

Computing is a foundation of contemporary business. Organisations use computers to record transactions, communicate with customers and suppliers, analyse markets, manage employees, control production, deliver services and support strategic decisions. A modern business is therefore not merely an organisation that owns computers; it is a coordinated socio-technical system in which people, procedures, data, hardware and software work together to create value.

This chapter establishes the conceptual foundation required for studying computer fundamentals and operating systems. It explains how computers evolved, what characteristics distinguish them from other machines, how they are classified, and how their major components interact. It also distinguishes data from information and examines how computing contributes to business productivity and competitive advantage.

Learning Objectives

After studying this chapter, you should be able to:

• describe major stages in the evolution of computing;
• explain the characteristics and basic operating cycle of a computer;
• classify computers according to purpose, capacity, portability and use;
• identify the major hardware, software, data, user and procedural components of a computer system;
• distinguish data from information and explain how information quality affects decisions;
• assess the contribution of computing to business functions, productivity and competitive advantage; and
• recognise important ethical, security and governance responsibilities associated with digital business.

1. The Meaning of a Computer System

A computer is an electronic, programmable device that accepts input, processes it according to instructions, stores data and instructions, and produces output. The term programmable is important: a computer can perform many different tasks when supplied with different programs.

A computer system is broader than the physical machine. It includes:

1. Hardware—the physical equipment, such as processors, memory, keyboards, displays and network devices.
2. Software—programs and related instructions that direct hardware, including operating systems and application software.
3. Data—recorded facts, measurements, symbols or observations that can be processed.
4. People—users, managers, analysts, developers, administrators and other stakeholders.
5. Procedures—rules and methods governing how systems are used and maintained.
6. Communication networks—connections that allow systems to exchange data and access shared resources.

These components are interdependent. A powerful computer without appropriate software is of little practical use. Accurate software cannot produce reliable results from poor-quality data, and a technically sound system may fail if employees are not trained or if procedures are badly designed.

The basic information-processing cycle is often represented as input, processing, output and storage. For example, when a retailer records a sale, the barcode scanner supplies input, software calculates the price and tax, the system updates inventory, a receipt is produced as output, and the transaction is stored for accounting and analysis.

2. Evolution of Computing

The history of computing reflects the continuing search for faster, more reliable and more flexible ways to represent and process information.

2.1 Early calculating devices

Before electronic computers, people used manual and mechanical devices. The abacus supported arithmetic by representing numbers with movable beads. Later devices, including mechanical calculators and punched-card systems, automated particular calculations or data-recording tasks. Punched cards were especially important in census processing and business record keeping because holes in cards represented data and could be sorted mechanically.

Charles Babbage proposed the Analytical Engine in the nineteenth century. Although it was not completed as a practical machine, its design included ideas resembling a processor, memory, input, output and programmed instructions. Ada Lovelace’s notes on the machine are widely associated with the early concept of general-purpose computer programming.

2.2 First generation: vacuum-tube computers

The first generation of electronic computers, developed mainly during the 1940s and early 1950s, used vacuum tubes for switching and amplification. These machines were very large, consumed substantial electricity, generated considerable heat and were expensive to operate. Programming was difficult and often involved machine-level instructions or physical rewiring.

Despite their limitations, vacuum-tube computers demonstrated that electronic processing could be much faster than mechanical calculation. Their use was concentrated in scientific, military and government applications.

2.3 Second generation: transistors

Transistors replaced vacuum tubes during the 1950s and 1960s. A transistor was smaller, more reliable, more energy-efficient and produced less heat. Second-generation computers therefore became more practical for universities, government agencies and large businesses. Assembly languages and early high-level languages such as FORTRAN and COBOL improved programming productivity.

Businesses began to use computers for payroll, accounting, inventory and billing. This marked an important shift from purely scientific computing toward commercial data processing.

2.4 Third generation: integrated circuits

The third generation used integrated circuits, in which many electronic components were placed on a semiconductor chip. Integrated circuits increased processing capability while reducing physical size and cost. Operating systems became more sophisticated, supporting features such as multiprogramming, which allowed a computer to manage more than one program or task during a period of operation.

The expansion of operating systems made computing more accessible to organisations because users no longer had to control every hardware operation directly. Terminals and time-sharing systems allowed several users to interact with a central computer.

2.5 Fourth generation: microprocessors and personal computers

The microprocessor placed the central processing unit on a single chip. This development made possible affordable personal computers, workstations and embedded systems. During the late twentieth century, computers moved from specialised computer rooms into offices, classrooms, homes and industrial equipment.

Graphical user interfaces, computer networks, spreadsheets and databases expanded the business value of personal computers. Employees could prepare documents, analyse financial information, communicate electronically and access shared organisational systems.

2.6 Networked, mobile and cloud computing

The contemporary period is characterised by connected computing. The internet, wireless networks, smartphones, tablets, cloud platforms and connected sensors have made computing continuously available. Processing and storage may occur locally, in a data centre or across a distributed cloud environment.

Cloud computing provides on-demand access to computing resources over a network. Organisations can obtain storage, applications or processing capacity without purchasing all underlying infrastructure. However, cloud use also creates responsibilities concerning privacy, service availability, vendor dependence, data location and access control.

Artificial intelligence, machine learning, automation and the Internet of Things represent important contemporary developments. They extend computing from routine calculation toward prediction, pattern recognition, natural-language interaction and autonomous or semi-autonomous action. These technologies do not eliminate the need for human judgement: their value depends on appropriate objectives, representative data, valid evaluation and responsible governance.

2.7 A pattern in technological evolution

Although generations are useful for historical study, technological change is not a series of completely separate periods. Older technologies continue to operate alongside newer ones. Mainframes remain important in banking and government; personal computers remain central to office work; cloud platforms support both new applications and traditional systems.

Several long-term trends can be observed:

• increasing processing speed and storage capacity;
• decreasing cost per unit of computation;
• smaller and more portable devices;
• greater connectivity and collaboration;
• more accessible interfaces;
• increasing automation; and
• growing dependence on data and digital infrastructure.

These trends create opportunities, but they also increase organisational dependence on reliable systems, cybersecurity and skilled personnel.

3. Characteristics of Computers

Computers have several characteristics that explain their value in business.

Speed

Computers can execute large numbers of instructions in a short time. Speed is useful in transaction processing, financial modelling, search, simulation and analysis. However, fast processing does not guarantee a valuable result. A system can quickly process inaccurate data or an inappropriate model.

Accuracy and consistency

When correctly programmed and supplied with valid data, computers perform repetitive calculations consistently. They do not become tired or distracted in the human sense. Nevertheless, computer output is only as reliable as the instructions, data and controls behind it. The principle commonly summarised as “garbage in, garbage out” highlights this limitation.

Storage capacity

Computers can store large volumes of digital data and retrieve it rapidly. Storage supports historical analysis, customer records, documents, multimedia and operational logs. Storage capacity should not be confused with information quality: retaining more data does not automatically produce better decisions.

Automation

A computer can perform a sequence of activities automatically once rules and conditions have been specified. Automation can reduce processing time and routine labour, but poorly designed automation may reproduce errors at scale or make decisions that lack appropriate human review.

Versatility

The same general-purpose computer can support word processing, accounting, communication, design, data analysis and many other activities by running different software. This flexibility is a major distinction between general-purpose computers and single-purpose machines.

Connectivity

Networked computers exchange data and share applications, printers, databases and services. Connectivity supports remote work, online commerce, supply-chain coordination and integrated enterprise systems. It also creates exposure to unauthorised access, malware and service disruption.

Limitations

Computers do not possess human common sense, values or independent understanding. They operate according to programmed instructions, learned models or rules established by people. They may fail because of hardware faults, software defects, power loss, cyberattacks, poor data, unclear requirements or misuse. Effective business computing therefore combines technology with human supervision, governance and professional judgement.

4. Classifications of Computers

Computers may be classified using several overlapping criteria. No single classification is sufficient for every purpose.

4.1 Classification by purpose

General-purpose computers perform many types of tasks through different software. Desktop computers, laptops and most servers are examples.

Special-purpose computers are designed for a specific function. Examples include a device controlling a traffic signal, a point-of-sale terminal or a digital instrument in manufacturing. Special-purpose systems may be efficient and reliable for their defined task but less flexible than general-purpose systems.

4.2 Classification by size and processing capacity

Microcomputers are relatively small systems intended for individual or small-group use. Personal computers, laptops and many tablets fit this category.

Workstations are high-performance single-user systems used for computer-aided design, engineering, media production or advanced analysis.

Servers provide services such as file storage, web delivery, databases, authentication or applications to other computers. A server is defined primarily by its role, not merely by its physical size.

Mainframes are powerful systems designed for very large-scale, reliable transaction processing and simultaneous access by many users. Banks, airlines, governments and large retailers may use them.

Supercomputers are specialised high-performance systems used for complex scientific simulations, climate modelling, advanced research and certain large-scale computational problems.

4.3 Classification by portability and location

Desktop computers are generally installed at a fixed location. Laptops combine processing, display, keyboard and battery power in a portable form. Tablets and smartphones emphasise touch interaction, wireless communication and mobility. Wearable computers and embedded computers are integrated into objects or equipment.

Cloud and distributed systems classify computing less by a single physical machine and more by the location and coordination of resources. A business application may use several servers, databases and network services located in different data centres.

4.4 Classification by data handled

Digital computers represent data using discrete values, normally binary digits. Analogue computers work with continuously varying physical quantities and are associated with specialised measurement and control tasks. Hybrid systems combine digital processing with analogue input or control. Most business information systems today are digital.

5. Components of a Computer System

5.1 Central processing unit

The central processing unit (CPU) executes instructions and coordinates processing. It includes an arithmetic and logic unit, control circuitry and high-speed registers. The arithmetic and logic unit performs arithmetic and logical operations. The control unit directs the movement of instructions and data. Registers hold very small amounts of information temporarily during execution.

A simplified instruction cycle consists of:

1. Fetch an instruction from memory.
2. Decode the instruction to determine the required operation.
3. Execute the operation.
4. Store or write back the result where required.

Modern processors may execute several instructions concurrently through pipelining and may contain multiple cores. These architectural improvements increase performance, but actual performance also depends on memory speed, software design, workload and input/output operations.

5.2 Primary memory

Primary memory is directly accessible to the processor. Random-access memory (RAM) temporarily holds programs and data currently being used. RAM is generally volatile, meaning its contents are lost when power is removed. Read-only memory and firmware provide persistent instructions needed for starting or controlling basic hardware functions.

Memory capacity is commonly measured in bytes. A byte consists of eight bits, and a bit represents a binary value of 0 or 1. In technical contexts, prefixes such as kilobyte, megabyte and gigabyte may be used in decimal or binary ways; therefore, organisations should state measurement conventions clearly when capacity matters.

5.3 Secondary storage

Secondary storage retains data when power is removed. Hard disk drives use magnetic storage, while solid-state drives use flash memory and have no moving mechanical disk. Optical media and removable storage may also be used for particular purposes. Storage selection involves capacity, speed, cost, durability, portability, backup and security.

5.4 Input devices

Input devices capture data or commands. Examples include keyboards, pointing devices, scanners, cameras, microphones, biometric readers, sensors and barcode readers. Input validation is essential because an input device can capture information accurately while the underlying information remains false or incomplete.

5.5 Output devices

Output devices present processed results. Displays, printers, speakers, projectors and industrial actuators are examples. Business output may take the form of a dashboard, invoice, alert, report, recommendation or automated control action. Effective output should be understandable, timely and appropriate for its user.

5.6 Software

System software manages hardware and provides a platform for applications. The operating system is the central example. It manages processes, memory, files, devices, users and security, and provides interfaces through which users and applications interact with hardware.

Application software performs user-oriented tasks such as accounting, word processing, customer relationship management, enterprise resource planning, data analysis and e-commerce.

Utility software supports maintenance, backup, compression, security, diagnostics and system management. Firmware is software stored in non-volatile memory and closely associated with a device’s basic operation.

5.7 Networks and communication components

Network interface cards, wireless adapters, switches, routers and communication links allow systems to exchange data. Networks may be classified by geographic scope, such as local area networks and wide area networks, or by organisational purpose. Business networks support shared resources, digital communication, remote access and integrated applications.

5.8 People and procedures

Users enter data, interpret results and make decisions. Specialists design, develop, operate, secure and maintain systems. Procedures define how accounts are created, transactions are approved, backups are performed, incidents are reported and systems are retired. These human and organisational elements are essential components, not optional additions.

6. Data, Information and Knowledge

6.1 Data

Data are raw recorded representations of facts, events or observations. They may be numbers, text, dates, images, sounds, sensor readings or transaction records. For example, “42,” “2025-03-10,” and “Product A” are data elements, but their meaning depends on context.

6.2 Information

Information is data that have been processed, organised, interpreted or presented so that they have meaning and usefulness for a particular purpose. A sales record becomes more informative when it is associated with a product, customer, time period and location. A manager may use a report showing that Product A sales increased by 12% in a region during a quarter. The report is useful because the data have been placed in context and transformed into a basis for action.

6.3 Knowledge

Knowledge is the understanding developed from information, experience, rules and judgement. Information may show that demand rises before a holiday; managerial knowledge may support a decision to increase inventory early. Knowledge therefore involves interpretation and application, not merely storage.

6.4 Qualities of useful information

Information quality is multidimensional. Important qualities include:

• Accuracy: freedom from errors.
• Completeness: inclusion of necessary data.
• Timeliness: availability when needed.
• Relevance: connection to the decision or task.
• Consistency: agreement across systems and periods.
• Accessibility: ability of authorised users to obtain it.
• Understandability: presentation in a form users can interpret.
• Reliability: confidence that the source and process are dependable.
• Security: protection from unauthorised disclosure or alteration.

These qualities may conflict. Real-time information may be less complete than a carefully reconciled monthly report. Highly detailed information may be accurate but difficult for a senior manager to interpret. Information systems must therefore be designed for specific decisions and users.

6.5 From transaction data to managerial information

Consider a supermarket. Individual barcode scans are operational data. A daily report of units sold by store is information for store managers. A comparison of seasonal demand, margins and competitor prices may support knowledge used by senior managers to plan purchasing and pricing. The same underlying data can produce different information products for different organisational levels.

7. Computing in Business Functions

Computing supports nearly every functional area of an organisation.

Marketing and sales

Customer relationship systems record interactions, segment customers, manage campaigns and support sales forecasting. Digital analytics can measure website visits, conversion rates and campaign performance. Ethical use requires transparency, lawful collection and responsible handling of personal data.

Finance and accounting

Accounting systems record transactions, prepare reports, support budgeting and help organisations monitor cash flow. Automated controls can enforce approval limits and detect unusual transactions. Human review remains necessary because accounting classifications, estimates and regulatory judgements are not purely mechanical.

Human resource management

Human resource systems manage employee records, recruitment, attendance, payroll, training and performance information. Organisations must control access to sensitive personal data and assess whether automated screening tools create unfair bias.

Operations and production

Computing supports inventory control, scheduling, procurement, quality management, warehouse automation and production monitoring. Sensors and enterprise systems can provide current information about equipment and stock, enabling faster responses to disruption.

Supply-chain management

Shared systems connect suppliers, manufacturers, distributors and retailers. Accurate demand information can reduce excess inventory and stockouts. Integration also increases interdependence: an outage or incorrect record in one organisation can affect many partners.

Customer service and administration

Help-desk systems, chat interfaces, knowledge bases and workflow platforms improve response coordination. Automation can answer routine enquiries, while complex or sensitive cases should be escalated to trained employees.

8. Productivity and Competitive Advantage

Productivity concerns the relationship between outputs and inputs. A simple conceptual expression is:

Output may be measured in units produced, cases resolved or services delivered. Input may include labour hours, materials, capital or total operating cost. The measure is meaningful only when the units, period and quality conditions are defined. For example, producing more units is not a productivity improvement if defect rates increase substantially.

Computing can improve productivity through:

• automation of repetitive activities;
• faster communication and coordination;
• reduced duplication of data entry;
• improved scheduling and resource utilisation;
• better forecasting and decision support;
• digital self-service for customers; and
• improved monitoring of quality and performance.

However, technology investment does not automatically create productivity. Benefits may be delayed while employees learn new processes, data are cleaned and systems are integrated. Poorly designed systems can create extra work, surveillance concerns and process bottlenecks.

Competitive advantage exists when an organisation creates greater value or operates more effectively than competitors in a way that is difficult to imitate or substitute. Computing may contribute through:

• lower operating costs;
• faster delivery and responsiveness;
• differentiated digital services;
• superior customer insight;
• network effects from a large user community;
• reliable and convenient customer experience; and
• organisational agility.

A technology itself is rarely a permanent advantage because competitors may acquire similar hardware or software. Sustainable advantage more often depends on complementary resources: high-quality data, skilled employees, effective processes, trusted relationships, organisational learning and disciplined governance.

9. Illustrative Case: A Regional Retailer’s Digital Transformation

Background

FreshMart, a fictional regional grocery retailer, operated 25 stores. Each store maintained partly separate inventory records, while head-office staff received sales summaries at the end of each day.

Problem

The retailer experienced frequent stockouts of popular products and overstocking of slow-moving goods. Managers also spent considerable time reconciling inconsistent spreadsheets. Competitors with online ordering were providing faster and more personalised service.

Analysis

The problem was not simply a lack of faster computers. It involved fragmented data, incompatible procedures, delayed information and weak coordination between stores, purchasing and marketing. The organisation needed an integrated system connecting point-of-sale data, inventory, suppliers and customer orders.

Approach and solution

FreshMart introduced a cloud-based retail platform. Barcode transactions updated a shared inventory database. Managers received dashboards showing current stock levels, sales trends and reorder alerts. The company also established data definitions, role-based access controls, backup procedures and employee training. Online ordering was introduced gradually, with human review of unusual orders and customer complaints.

Outcome

The retailer reduced avoidable stockouts and improved purchasing coordination. Managers spent less time reconciling records and more time analysing demand. Nevertheless, the company incurred subscription costs, had to manage vendor dependence and needed continuing cybersecurity training. The project succeeded because process redesign, governance and employee adoption accompanied the technology investment.

Learning points

1. Business value comes from integrating technology with processes and people.
2. Data become useful information when they are timely, accurate and relevant to decisions.
3. A shared system improves coordination but increases the importance of access control and continuity planning.
4. Competitive advantage depends on capabilities and organisational learning, not hardware alone.

10. Challenges, Ethics and Governance

Digital business creates responsibilities as well as opportunities. Privacy requires organisations to collect and use personal data fairly and for legitimate purposes. Security controls should protect confidentiality, integrity and availability. Organisations should use authentication, least-privilege access, secure configuration, backups, monitoring, incident response and employee awareness training.

Data governance establishes ownership, quality standards, retention rules, access rights and accountability. Regulatory obligations differ by jurisdiction and industry, so organisations must understand applicable privacy, consumer protection, financial reporting and records-management requirements.

Automation and artificial intelligence raise additional questions. Organisations should examine whether training data are biased, whether decisions can be explained, whether humans can challenge outcomes and whether responsibility is clearly assigned. Convenience is not sufficient justification for intrusive data collection or unjust automated decisions.

Accessibility is also an ethical and practical requirement. Systems should be usable by people with different abilities, devices, languages and levels of technical confidence. Sustainable computing requires attention to energy consumption, equipment lifecycles, electronic waste and responsible procurement.

11. Best Practices for Business Computing

Effective organisations generally:

• begin with a clearly defined business problem;
• identify users, decisions, processes and information requirements;
• maintain accurate and standardised data;
• select technology according to total cost, risk and organisational fit;
• test systems before deployment and monitor them after implementation;
• train users and provide support;
• separate duties and apply appropriate access controls;
• maintain backups and continuity plans;
• measure outcomes rather than merely counting installations; and
• review ethical, legal, accessibility and environmental effects.

A business manager does not need to be a programmer to make sound technology decisions. The manager should, however, understand the capabilities and limitations of computing, ask informed questions, evaluate evidence and ensure that technology supports organisational purpose.

Chapter Summary

A computer is a programmable electronic device that accepts input, processes data, stores instructions and data, and produces output. A computer system includes hardware, software, data, people, procedures and networks. Computing evolved from mechanical and punched-card devices through vacuum tubes, transistors, integrated circuits and microprocessors to networked, mobile, cloud and intelligent systems.

Computers are valued for speed, consistency, storage, automation, versatility and connectivity, but they remain dependent on valid instructions, reliable data, human judgement and effective governance. They may be classified by purpose, capacity, portability, location and the type of data handled. Their major components include the CPU, primary memory, secondary storage, input and output devices, software, networks, people and procedures.

Data are raw recorded facts; information is processed and contextualised data that support a purpose; knowledge involves interpretation and application. Useful information is accurate, complete, timely, relevant, consistent, accessible, understandable, reliable and secure. Computing supports marketing, finance, human resources, operations, supply chains and customer service. It can improve productivity and contribute to competitive advantage, but benefits depend on complementary organisational capabilities.

Finally, digital business requires responsible treatment of privacy, security, accessibility, fairness, sustainability and regulatory obligations. Technology creates value when it is integrated with sound processes, skilled people, quality data and accountable decision-making.

Key Terms

Computer: A programmable electronic device that processes data according to instructions.

Computer system: Hardware, software, data, people, procedures and networks working together.

Hardware: The physical components of a computing system.

Software: Programs and instructions that direct computer operations.

Operating system: System software that manages hardware resources and provides services for applications.

Data: Raw recorded facts, observations or representations.

Information: Processed and contextualised data that are meaningful for a purpose.

Knowledge: Understanding developed through information, experience and judgement.

CPU: The central processing unit that executes instructions and coordinates processing.

RAM: Volatile primary memory used for active programs and data.

Secondary storage: Non-volatile storage that retains data after power is removed.

Input device: Equipment used to capture data or commands.

Output device: Equipment used to present results or control an external activity.

General-purpose computer: A computer capable of performing many tasks through different software.

Special-purpose computer: A computer designed for a specific task.

Server: A computer or service that provides resources or applications to other systems.

Cloud computing: On-demand access to shared computing resources through a network.

Productivity: The relationship between outputs produced and inputs used.

Competitive advantage: A superior ability to create value or operate effectively compared with competitors.

Data governance: Policies and responsibilities for data quality, access, security, use and retention.

Review Questions

5 Short Answer Questions

1. What is a computer system, and why does it include more than hardware?
2. Identify two differences between primary memory and secondary storage.
3. Explain the distinction between data and information using a business example.
4. List four characteristics of computers and state one limitation.
5. What role does an operating system play in a computer system?

5 Long Answer Questions

1. Explain the major stages in the evolution of computing and relate each stage to changes in business use.
2. Describe the major components of a computer system and explain how they interact during transaction processing.
3. Compare general-purpose, special-purpose, server, mainframe and supercomputer classifications.
4. Discuss how information quality affects managerial decision-making.
5. Explain how computing can improve productivity and create competitive advantage, including the conditions required for sustainable benefits.

3 Analytical / Application Questions

1. A retailer has accurate sales data but receives reports two weeks after transactions occur. Analyse which information-quality dimensions are weak and recommend improvements.
2. A company plans to automate employee recruitment using an artificial-intelligence screening tool. Identify potential benefits, risks and governance controls that should be considered.
3. A manufacturing firm wants to replace isolated spreadsheets with an integrated cloud system. Analyse the likely effects on operations, productivity, security, employee roles and competitive advantage.

Multiple Choice Questions with Answers

Question 1

Which statement best defines a computer system?

A. A physical machine containing a processor and memory only

B. A combination of hardware, software, data, people, procedures and networks

C. A collection of digital files stored on a server

D. An internet connection used by an organisation

Correct Answer: B. A combination of hardware, software, data, people, procedures and networks

Question 2

Which technology replaced vacuum tubes in the second generation of computers?

A. Transistors

B. Integrated circuits

C. Microprocessors

D. Optical disks

Correct Answer: A. Transistors

Question 3

Which characteristic means that a computer can perform different tasks when supplied with different programs?

A. Accuracy

B. Storage capacity

C. Versatility

D. Volatility

Correct Answer: C. Versatility

Question 4

Which classification describes a computer designed primarily for one defined function?

A. General-purpose computer

B. Special-purpose computer

C. Supercomputer

D. Workstation

Correct Answer: B. Special-purpose computer

Question 5

What is the main function of RAM?

A. To provide permanent archival storage

B. To hold programs and data currently being used

C. To print processed information

D. To connect separate organisations to the internet

Correct Answer: B. To hold programs and data currently being used

Question 6

Which option is an example of information rather than raw data?

A. Individual barcode scan records

B. A product code entered at checkout

C. A report showing quarterly sales growth by region

D. A sensor reading recorded every minute

Correct Answer: C. A report showing quarterly sales growth by region

Question 7

According to the simple productivity expression, productivity is calculated as:

A. Input ÷ output

B. Output ÷ input

C. Output × input

D. Output − input

Correct Answer: B. Output ÷ input

Question 8

Which factor most directly limits the reliability of computer output?

A. The colour of the user interface

B. The physical size of the monitor

C. The quality of the data and instructions supplied

D. The number of people in the organisation

Correct Answer: C. The quality of the data and instructions supplied

Question 9

Which business function commonly uses computing for payroll, recruitment and employee records?

A. Human resource management

B. Production engineering only

C. External auditing only

D. Retail merchandising only

Correct Answer: A. Human resource management

Question 10

Why does technology alone rarely guarantee sustainable competitive advantage?

A. Computers cannot store data

B. Competitors may obtain similar technology, while organisational capabilities are harder to imitate

C. Software cannot support business processes

D. Networked systems cannot improve customer service

Correct Answer: B. Competitors may obtain similar technology, while organisational capabilities are harder to imitate