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• How is the success of information technology (IT) traditionally measured?

  By time, cost, and scope
• What are the dimensions of success for information technology?

  Project management, stakeholder acceptance, customer impact, business success, and future preparation
• What does the iron triangle measure?

  Project management, timeliness, cost, and scope
• What does the Technology Acceptance Model (TAM) measure?

  Stakeholder acceptance
• What does the Balanced Scorecard (BSC) measure?

  Organizational performance
• What is the conclusion regarding the measure of IT project success?

  No unified measure of success has been agreed upon
• What are the two main aspects of project success?

  Output and outcome
• What is the most appropriate criterion for project success?

  Achievement of project objectives
• How does technical project management affect IT project success?

  It is measured by the fulfillment of time, cost, and project scope
• How does stakeholder acceptance affect IT project success?

  It is related to the level of confidence in the usefulness of the system
• How does product quality affect IT project success?

  It is related to the quality of a product in terms of systems, information, or services
• How do organizational benefits affect IT project success?

  They contribute positively to IT project success
• What are the stages of the research method for IT project success?

  1. Literature review

  2. Development of an IT project success model

  3. Validation of the model through a quantitative survey
• What software is used to test the validity and reliability of the questionnaire?

  SPSS
• What tool is used to determine the relationships between variables and test the hypotheses?

  Sem-gesca tool
• What was the result of the descriptive analysis regarding the measurement of IT project success?

  The iron triangle was the most used measurement
• What statistical method was used for validity and reliability tests?

  Pearson product moment correlation
• What is the significance level used in the validity and reliability tests?

  0.05
• What does the Measure of Fit Measurement Model assess?

  Reliability and validity
• What does the Measure of Fit Structural Model evaluate?

  The relationship between variables
• What is the conclusion regarding the effect of product quality on IT project success?

  Product quality has a positive and significant effect on IT project success
• What is the conclusion regarding the effect of technical project management, stakeholder acceptance, and organizational benefits on IT project success?

  They have a positive effect but are not significant
• What is the primary goal of business analytics?

  Describing what has happened
• What is Python's role in business analytics?

  It is used to manipulate data, streamline workflows, and create visualizations
• What is the role of Python in machine learning?

  It is the go-to language for creating models for predictive analytics
• What does decision science in business analytics anticipate?

  What, when, and why certain outcomes will happen
• What is the purpose of the Artificial Intelligence Act proposed by the EU Commission?

  To provide a comprehensive legal framework for AI
• What is the goal of the AI Coordination Plan?

  To achieve global leadership in the development of human-centric, sustainable, secure, inclusive, and trustworthy AI
• What is the scope of the Artificial Intelligence Act?

  It covers providers and users of AI systems in the EU, regardless of where the provider is based
• What are the four levels of risk in the risk categorization of AI systems?

  Unacceptable risk, high risk, limited risk, and minimal risk
• What are the penalties for serious infringements of the new AI regulatory regime?

  Up to €30 million or 6% of global revenue
• What is the potential implication of the AIA proposal for firms with customers in the EU?

  It has extraterritorial reach
• What are the possible steps to anticipate and manage the new AI regulatory regime?

  • Inventory of all AI systems used by the organization
  • Risk-classification system
  • Risk-mitigation measures
  • Independent audits
  • Data risk-management processes
  • AI governance structure