Introduction to Digital Society

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Questions and Answers

What is the primary purpose of big data analytics capability?

To enhance instinctual decision-making

To capture, store, and analyze data for value creation (correct)

To replace traditional data processing methods

To reduce the workforce in organizations

Which of the following components is NOT part of big data analytics capability?

Organizational learning and culture

Human resources and labor (correct)

Technical and managerial skills

Tangible resources and technology

What is a significant outcome of establishing a data-driven culture?

Fostering reliance on instinct rather than data insights

Enabling decision-makers to base their decisions on insights (correct)

Reducing technological investments

Limiting organizational learning opportunities

What does the quadruple-helix model include that the triple-helix model does not?

Individuals and citizens Signup and view all the answers

How do data actors continuously improve their big data analytics capabilities?

By using past experiences to guide future actions Signup and view all the answers

What role does organizational learning play in big data initiatives?

It helps exploit existing knowledge and explore new knowledge Signup and view all the answers

Which of the following is considered a data actor in the big data ecosystem?

Academia, industry, government, and civil society Signup and view all the answers

What is the main benefit of big data-driven decision-making?

It enables improved insights for decisions Signup and view all the answers

What was the significance of Cambridge Analytica in the 2016 US elections?

It facilitated innovative political marketing using big data. Signup and view all the answers

What is a major challenge to the adoption of big data analytics mentioned?

Privacy concerns of individuals regarding their data. Signup and view all the answers

Which of the following describes a key requirement for utilizing big data effectively?

Creating findable and accessible data management standards. Signup and view all the answers

What does the General Data Protection Regulation (GDPR) aim to address?

Enhancing individuals' rights over their personal data. Signup and view all the answers

What is a noted barrier to the digital transformation through big data?

The absence of consensus and regulations. Signup and view all the answers

Which field is NOT mentioned as being affected by digital infrastructures and big data?

Education Signup and view all the answers

What is required to harness the potential of big data beyond technical aspects?

Identifying the right questions to ask. Signup and view all the answers

What does the content suggest about the relationship between innovation and digital infrastructures?

Investing in digital infrastructures fosters innovation. Signup and view all the answers

What is a primary reason for the difference in maturity levels of big data analytics between private and public organizations?

They have different goals and resources. Signup and view all the answers

What type of data do private organizations typically own that public organizations might not?

Data from mobile and web-based transactions. Signup and view all the answers

According to the findings, what is necessary for digital transformation between public and private sectors?

Enhanced interaction and cooperation. Signup and view all the answers

What do Okwechime et al. (2017) suggest could help public organizations improve their data analysis skills?

Collaboration and knowledge transfer from private organizations. Signup and view all the answers

What could potentially create friction between public and private organizations in a big data ecosystem?

Disregarding their respective differences. Signup and view all the answers

How can contemporary technologies aid in achieving digital transformation in public services?

By integrating big data with low technology services. Signup and view all the answers

What is one proposed method to help governments utilize big and open data effectively?

Utilizing data-driven dashboards for decision-making. Signup and view all the answers

What is suggested as a potential outcome of combining various types of data in an ecosystem?

Industry disruption and societal transformation. Signup and view all the answers

What gap is highlighted in recent studies regarding graduates?

Graduates lack some skills that are necessary in industry. Signup and view all the answers

Which of the following is NOT listed as a necessary skill for graduates in the industry?

Foreign language proficiency Signup and view all the answers

What major area of interest is identified for course curricula in the future?

Development of skills for big data analytics Signup and view all the answers

How do big data and business analytics ecosystems contribute to society?

They help in creating sustainable societies. Signup and view all the answers

What is one potential outcome of the creation of a big open data ecosystem?

Greater control for individuals over shared data. Signup and view all the answers

Which of the following roles do big data and business analytics ecosystems enhance for individuals?

Active participation in various societal roles Signup and view all the answers

What is a critical need emphasized in the context of industry and skill development?

Adaptation of learning tools according to market demands Signup and view all the answers

What does the presence of a big data ecosystem facilitate among its multiple actors?

Cooperation, collaboration, and coopetition Signup and view all the answers

What has been a significant effect of the progress in ICT on societies?

Increased availability of information. Signup and view all the answers

Which of the following best describes the impact of big data on organizations?

Organizations are unsure of how to utilize big data effectively. Signup and view all the answers

How does big data influence societal members, according to the content?

It influences individuals, businesses, and governments. Signup and view all the answers

What is considered one of the most significant technological disruptions in recent years?

Big data. Signup and view all the answers

Which statement accurately reflects the nature of big data?

It is generated from various sources, including transactions and sensors. Signup and view all the answers

What challenge do organizations face in relation to big data and business analytics?

Giving purpose to data for driving performance. Signup and view all the answers

What can be concluded about the relationship between big data and traditional business models?

Existing business models are challenged by big data. Signup and view all the answers

What influence do digital media platforms have on societies?

They facilitate the organization of societies and interactions. Signup and view all the answers

Study Notes

Introduction to Big Data and Its Impact

Progress in Information and Communication Technology (ICT) is shaping a digitalized 21st-century society.
Increased data generation from diverse sources includes social media interactions, transactions, and sensor data from various devices.
Organizations are leveraging big data and analytics for competitive advantages; however, implementation challenges persist.

Big Data Fundamentals

Big data refers to large data volumes available in digital media and online.
Big data analytics allows the analysis and prediction of phenomena ranging from stock prices to voter behavior.
Knowledge derived from analytics can influence perceptions, attitudes, and behaviors of individuals and organizations.

Case Study: Cambridge Analytica

Cambridge Analytica's role in the 2016 US elections highlighted big data's influence on political marketing.
This case emphasizes ongoing concerns regarding data privacy, individual rights, and the effectiveness of regulations like the GDPR.

Need for Data Management Standards

Growing demand for findable, accessible, interoperable, and reusable data infrastructures.
Investments in digital infrastructures promote innovation and enhance city services.

Big Data Analytics Capability

Defined as the capability to effectively capture, store, analyze data for value creation.
Requires a data-driven culture to shift decision-making from intuition to data insights.
Organizational learning is essential for adapting to volatile market conditions.

Triple-Helix and Quadruple-Helix Models

Triple-Helix Model includes academia, industry, and government for innovation in a knowledge-based society.
Quadruple-Helix Model adds civil society, acknowledging individuals' and citizens' contributions to innovation.

Data Ecosystem Dynamics

A big data ecosystem involves collaboration among various actors (academia, industry, government, civil society).
Differences in maturity and resource availability between private and public organizations affect big data implementation.

Inter-Organizational Collaboration

Knowledge transfer from private to public organizations can enhance big data analytics capabilities.
Combining modern technologies with traditional services can achieve digital transformation.

Evolving Skills and Education

Industry studies reveal significant skills gaps in graduates, necessitating educational reform to meet market demands.
Essential skills include programming, data handling, visualization, soft skills, and domain-specific knowledge.

Societal Implications

Society functions as a big data ecosystem, fostering data sharing and cooperation.
Such ecosystems present opportunities for new business strategies and innovative digital designs.
Empowering individuals through open data ecosystems enhances participation and engagement.

Future of Big Data and Digital Transformation

Emerging big data ecosystems hold transformative potential for business models, management practices, and academic theories related to information systems and technology.

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Description

Explore the transformative impact of Information and Communication Technology (ICT) on our lives and societies. This quiz delves into the creation of life-affirming values and sustainable patterns of living in an increasingly digitalized world.