International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated.

Lesson 36/59 | Study Time: Min


International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated.


Have you ever thought how crucial the ethical, international, and social dimensions are when managing information systems? In a global and digital age where data is the new oil, understanding these aspects is of utmost importance. This lesson delves deep into discussing these problems associated with managing information systems in modern organizations.

Understanding the International Challenges

One of the key challenges in managing international information systems is the variances in data privacy regulations across the globe. For instance, the European Union's General Data Protection Regulation (GDPR) is a significant legal framework that has redefined data privacy norms.

Example: A company headquartered in the United States, with operations in the EU, needs to ensure GDPR compliance for its EU data subjects. Failure to do so can lead to hefty penalties, hurting the company's reputation and bottom line.


The cross-border transfer of data is another international challenge. Data sovereignty issues, where nations demand data related to their citizens or operations to reside within their geographical boundaries, further complicates this.

Delving into Ethical Issues

Information systems are not devoid of ethical concerns. Data privacy and security are paramount. With the increasing number of data breaches, the cybersecurity landscape is in constant flux.

Example: The infamous Facebook-Cambridge Analytica scandal highlighted how personal data can be misused, violating privacy norms. It underlines the pressing need for ethical management of information systems.


Organizations need to ensure they responsibly handle data, adhering to privacy norms and protecting against potential breaches. This brings us to another ethical dimension - the need for transparency about how data is collected, used, and shared.

Examining the Social Impact

Information systems have a profound social impact. For instance, the digital divide - the gap between those who have access to information technology and those who don't - is a significant social concern.

Example: During the pandemic-induced shift to online learning, the digital divide became more evident, affecting the learning experience of countless students around the globe.


Moreover, the ethical use of data for decision-making is another increasingly important social aspect. Biases in data or algorithms can lead to unfair practices or outcomes, thereby underscoring the need for ethical data usage and decision-making.

In conclusion, managing information systems is not just about the technology but also involves navigating the complex terrain of international regulations, ethical dilemmas, and social consequences. The responsibility is heavy, but so is the potential reward for organizations that can effectively steer through these challenges.


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1- Introduction 2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks. 3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks. 4- IP addressing in computer networks: Set up IP addressing in a computer network. 5- Static and dynamic routing: Set up static and dynamic routing in a computer network. 6- Network traffic management and control: Manage and control network traffic in a computer network. 7- Network troubleshooting: Diagnose and fix network problems. 8- Introduction 9- Concepts and sources of big data. 10- Recommendation systems, sentiment analysis, and computational advertising. 11- Big data types: streaming data, unstructured data, large textual data. 12- Techniques in data analytics. 13- Problems associated with large data sets used in applied analytical models. 14- Approaches to visualize the output from an enforced analytical model. 15- Big data processing platforms and tools. 16- Performing simple data processing tasks on a big data set using tools 17- Introduction 18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system. 19- Entity Relationship Model: Analyze the components of an entity relationship model. 20- Relational Model: Analyze relation, record, field, and keys in a relational model. 21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model. 22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies. 23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form. 24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages. 25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL. 26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands. 27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions. 28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR. 29- Join Operations: Perform MySQL operation. 30- Introduction 31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases. 32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations. 33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS. 34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations. 35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications. 36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated. 37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS. 38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS. 39- Security and legislative issues in maintenance. 40- Introduction 41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing. 42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech. 43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer. 44- Data privacy: Define data privacy and analyse the types of data included in data privacy. 45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics. 46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology. 47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime. 48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems. 49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare. 50- Introduction 51- Technologies involved in building a secure e-commerce site. 52- Common problems faced by e-commerce sites. 53- Requirements analysis and specification for an e-commerce project. 54- Writing a project proposal and creating a presentation. 55- Front-end development tools, frameworks, and languages. 56- Back-end development languages, frameworks, and databases. 57- Application of software development methodologies. 58- Creating a project report and user documentation. 59- Delivering structured presentations on the software solution.
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