Introduction to Organizational Informatics and Information Systems

Introduction to Organizational Informatics

Founders/Authors: Ts. Dr. Aidrina Sofiadin and Dr. Shuhaili Talib.
Definition: Organizational informatics is the study and application of Information Communication Technology (ICT) to enhance business processes, decision-making, and overall performance within an organization.
Nature of the Field: It is an interdisciplinary field integrating insights from Information Systems. It influences organizations to adapt to technological innovations for improved efficiency, competitiveness, and innovation.
Core Focus: Understanding the complex interaction between technology and organizational culture, processes, and stakeholders.

Historical Context and Development

Origins: Trace back to early studies of information systems (IS) and their impact on organizational behavior, specifically from the $1980\text{s}$ onward when computers/digital technologies became integral to business.
Conceptual Emergence: Emerged to bridge the gap between purely technical approaches to IS and the human, social, and organizational aspects of deployment/use.
Socio-Technical Perspective: Scholars realized that while IT automated processes, it had significant implications for how organizations functioned. This led to an expanded view considering organizational strategies, communication patterns, and decision-making alongside technology.

Elements of Organizational Informatics

Human Skills: The people element within the system.
Workflow (Process): The structured sequence of work activities.
IT Systems (Technology): The hardware and software components.
Activity/Application: Identifying how these three elements interact in weekly organizational systems.

Defining the Organization

Technical Definition: A formal social structure that processes resources from the environment to produce outputs. It is a formal legal entity with internal rules, procedures, and a social structure.
Behavioral Definition: A collection of rights, privileges, obligations, and responsibilities balanced over time through conflict and resolution.
Standard Features: * Use of hierarchical structure. * Accountability and authority in a system of impartial decision-making. * Adherence to the principle of efficiency. * Reliance on routines and business processes. * Influence of organizational politics, culture, environments, and specific structures.

Key Theoretical Fields

Socio-Technical Systems Theory: Suggests organizations consist of social (people, structures) and technical (technology, tools) elements. Excellence results from optimizing both in tandem.
Information Theory: Rooted in Claude Shannon’s work on information transmission. It explores how information flows within and between organizational boundaries, aiming to minimize noise and enhance accuracy.
Organizational Learning: Examines how organizations learn and adapt to new technologies by accumulating knowledge from experiences and incorporating it into practices.
Knowledge Management (KM): Focuses on capturing, organizing, and leveraging collective expertise. It ensures systems do not just store data but transform it into actionable insights for decision-making.

Applications of Organizational Informatics

Decision Support Systems (DSS): Aggregates data from various sources to offer analytical tools for informed management choices. OI studies how these integrate into daily workflows.
Enterprise Resource Planning (ERP) Systems: Integrates core business processes into a unified system. OI investigates socio-technical challenges of implementation, such as employee adaptation.
Organizational Change and IT: Analyzes how new IT leads to changes in processes, roles, and culture. Emphasizes alignment with business goals and employee readiness.
Digital Transformation: Provides a framework for integrating digital technologies into all aspects of operations, from internal processes to customer interactions.

Challenges in Organizational Informatics

Technology Acceptance: Related to training, perceived usefulness, and ease of use by stakeholders.
Data Governance: Managing big data ethics, privacy, security, and regulatory compliance.
Innovation vs. Stability: Balancing the constant need for innovation with the requirement for stable operational processes.
Inter-organizational Information Systems: Managing collaboration across supply chains and business networks.

Future Trends in Organizational Informatics

Artificial Intelligence (AI) and Machine Learning (ML): Reshaping data handling, automation, and predictive insights, which alters human roles.
Blockchain and Distributed Ledgers: Transforming areas like supply chain and contract execution through transparency and trust.
Remote Work and Virtual Collaboration: Examining how systems enable coordination in dispersed teams and affect employee engagement.
Sustainability and Green Informatics: Designing systems that support environmental initiatives, reduced energy consumption, and optimized resource use.

Fundamentals of Information Systems

Information Technology (IT): The hardware and software a business uses to achieve objectives.
Information System (IS): Interrelated components (technology, people, processes) that manage information to support decision-making, analysis, and product creation.
Data: Raw facts (e.g., $331$ Brite Dish Soap $1.29$).
Information: Data shaped into meaningful, useful form (e.g., Sales Region: Northwest, Total Units Sold: $7,156$ ).
System Activities: * Input: Collecting raw data. * Processing: Classifying, arranging, and calculating. * Output: Transferring processed information to people or activities. * Feedback: Output returned to organization members to help evaluate or correct the input stage.
Analogy: Computer software/hardware is the technical foundation (like materials/tools for a house), but the IS includes the broader structure and purpose.

Dimensions of Information Systems

Organizations: * Hierarchy of authority: Senior Management (scientists/knowledge workers), Middle Management, Operational Management (production/service workers/data workers). * Major Business Functions: Sales/Marketing, Human Resources, Finance/Accounting, Manufacturing/Production.
Management: Managers set strategy, respond to challenges, and act creatively to coordinate/re-create the organization.
Information Technology: * Computer hardware/software. * Data management technology. * Networking and telecommunications (Internet, intranets, extranets, World Wide Web). * IT Infrastructure: The platform upon which the system is built.

Strategic Business Objectives of Information Systems

Operational Excellence: Improving efficiency for higher profits (e.g., Walmart’s digital links with suppliers helping achieve over $524 \text{ billion}$ in sales in $2019$ ).
New Products, Services, and Business Models: Creating new ways to produce and sell (e.g., Apple’s iTunes transformational model).
Customer and Supplier Intimacy: Serving customers well to create repeat business (e.g., Mandarin Oriental Hotel preferences tracking) and tightening supplier ties (e.g., J C Penney and Hong Kong suppliers).
Improved Decision Making: Using real-time data instead of forecasts/guesses (e.g., Verizon’s web-based digital dashboard for customer complaints/network performance).
Competitive Advantage: Achieving better performance or lower prices (e.g., UPS, Apple, Walmart).
Survival: Investing due to necessity, such as Citibank’s introduction of ATMs or meeting regulations like the Toxic Substances Control Act and the Sarbanes-Oxley Act.

The Business Perspective on Information Systems

Economic Value: IS is an instrument for creating value, aiming for superior returns in productivity and revenue.
Business Information Value Chain: Raw data is acquired and transformed through stages to add value. The final value depends on how much it improves decisions and efficiency.
Complementary Assets: Realizing value from IT requires investments in organizational capital (efficient processes/culture), managerial assets (innovation incentives/teamwork), and social assets (standards/infrastructure).

IT Infrastructure Components and Evolution

Definition: The set of physical devices and software required to operate an enterprise. It includes computing platforms, facilities management, and IT services.
Evolutionary Eras: 1. Mainframe and Minicomputer ( $1959$ to Present). 2. Personal Computer ( $1981$ to Present). 3. Client/Server ( $1983$ to Present). 4. Enterprise Computing ( $1992$ to Present). 5. Cloud and Mobile Computing ( $2000$ to Present).
Infrastructure Components: * Hardware Platforms: Client machines (PCs, laptops, smartphones), Servers, Mainframes (IBM). * OS Platforms: Windows Server, Unix, Linux, Android, iOS, Chrome OS. * Enterprise Software: Largest providers are SAP and Oracle; includes Middleware (IBM, Oracle). * Data Management/Storage: IBM DB2, Oracle, Microsoft SQL Server, MySQL, Apache Hadoop. * Networking/Telecom: Cisco, Juniper Networks, AT&T, Verizon. * Internet Platforms: Web-hosting services, Routers, development tools (Visual Studio, .NET, Java). * Consulting/Integration: Ensuring new infrastructure works with Legacy Systems (older Transaction Processing Systems too costly to replace).

Modern Business Trends and the Digital Firm

Financial Scope: Global IT spending reached nearly $3.8 \text{ trillion}$ in $2019$ ; $160 \text{ billion}$ spent on management consulting.
Technological Innovations: Cloud computing, Big Data, Internet of Things (IoT), AI/Machine Learning.
E-commerce Expansion: Global e-commerce reached $3.6 \text{ trillion}$ in $2019$ . Mobile retail e-commerce is growing at over $20 \text{ percent}$ annually, expected to reach nearly $300 \text{ billion}$ in $2020$ .
The Digital Firm: A firm where business relationships are digitally mediated, core processes are managed via digital networks, and key assets are digital. This allows for time shifting and space shifting.