Scenario 1:

As a manager at an engineering firm considering a partnership with a new technology supplier, several critical research steps must precede any decision. First, thorough market research is essential to compare the new technology against existing solutions in terms of features, costs, and industry adoption trends. Validating the supplier's claims about industry standards requires a deep dive into industry reports and expert analysis to gauge future technological trajectories and competitive benchmarks.

Additionally, evaluating the supplier itself involves scrutinizing its financial stability, reputation, and performance to ensure they can deliver on promises of innovation and ongoing support. To make an informed decision, both qualitative and quantitative data play pivotal roles. Qualitative insights from engineers and project managers in the company provide invaluable feedback on usability, integration, and alignment with operational needs. This firsthand user perspective complements quantitative analyses that weigh the financial implications of adopting the new technology against potential gains in productivity, project efficiency, and market competitiveness. Utilizing both primary sources and secondary sources ensures a comprehensive understanding of risks, opportunities, and the broader implications of integrating the new technology into the company's strategic roadmap. This dual approach empowers the manager to navigate confidently towards a decision that aligns with the company's growth objectives while mitigating potential risks.

Scenario 2:

In analyzing the adoption of new technology at an engineering company, a methodical decision-making process is essential. Initially, verifying the supplier's credibility through client reviews and track records is crucial. The technology should then be evaluated via a detailed demo or pilot project to assess compatibility with existing systems. Market analysis is necessary to confirm industry adoption claims, supported by industry reports and expert analyses. A cost-benefit analysis will measure the financial implications against potential benefits, including direct and indirect costs. Risk assessment is also vital to identify potential pitfalls with the new technology and supplier.

Data plays a critical role in this process. Quantitative data, such as performance metrics and ROI projections, provide objective insights, while qualitative data from user feedback and demo experiences offer deeper understanding of usability and service quality. Both primary sources, like direct feedback, and secondary sources, such as published research, are utilized to ensure a comprehensive evaluation. This thorough approach aligns operational needs with strategic goals, ensuring a well-informed decision.

Based on the two scenario above

• Can you spot bias or illogical or unethical arguments initial post?
• Explain your response and give examples.