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Dacey Rankins

agregó una foto Marketing and Advertising
2025-10-10 20:08:59 -

Common Mistakes and Pitfalls in Market Research (and How to Avoid Them)
Introduction: Why Good Research Still Fails Even the most ambitious marketing teams and well-funded research projects can fail to deliver useful insights — not because research isn’t valuable, but because it’s done incorrectly. From poorly designed surveys and unrepresentative samples to misinterpreted data and overconfidence in flawed conclusions, market research mistakes...

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Dacey Rankins

agregó una foto Marketing and Advertising
2025-10-13 17:47:29 -

Common Mistakes to Avoid in Market Research (and How to Fix Them)
Introduction Market research is one of the most powerful tools a business can use.It guides decisions, validates ideas, and minimizes risk. But — and this is crucial — bad research can be more dangerous than no research at all. Poorly planned or executed studies can mislead decision-makers, waste budgets, and even derail entire product launches. So if you’re investing time...

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Dacey Rankins

agregó una foto Marketing and Advertising
2025-10-13 17:42:05 -

How Reliable Are Market Research Results (and How Much Can You Trust Them?)
Introduction Market research promises clarity. You invest time, money, and effort to understand your audience — to know what they think, what they want, and how they behave. But here’s the uncomfortable truth: not all research is reliable. Even professionally conducted studies can be distorted by bias, flawed sampling, misleading questions, or misinterpreted results. And in an...

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Dacey Rankins

agregó una foto Marketing and Advertising
2025-10-10 20:03:29 -

How Reliable Are Market Research Results? (And How Much Should You Trust Them?)
Introduction: The Confidence Problem in Market Research Market research is often described as the foundation of smart business decisions — but how much can you really trust the results? You might spend weeks conducting surveys, running focus groups, or analyzing customer data, only to realize that your insights didn’t translate into success once applied in the real world. A new...

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Dacey Rankins

agregó una foto Business
2025-08-12 15:42:33 -

How to Adopt a Data-Driven Hiring Process?
A data-driven hiring process leverages objective metrics and analytics to make better recruitment decisions. It minimizes biases, improves candidate quality, and increases the efficiency of hiring efforts by using quantifiable information. What Is Data-Driven Hiring? Data-driven hiring uses measurable data points such as: Candidate assessment scores Time-to-hire metrics...

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Dacey Rankins

agregó una foto Business
2025-07-05 18:41:02 -

What Are Ethical Issues in Management Science?
Concerns Include Bias, Fairness, Data Privacy, Transparency, Accountability, and Stakeholder Impacts Management Science, with its reliance on data analysis, optimization models, and decision-making frameworks, plays a crucial role in shaping strategies and operations across industries. However, the growing complexity and automation of decision-support systems have brought ethical...

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Dacey Rankins

agregó una foto Business
2025-08-15 20:28:13 -

What Ethical and Bias Considerations Arise in Its Application?
While Management Science offers powerful tools for decision-making, ethical and bias issues can arise in its application. These considerations must be addressed to ensure fair and responsible outcomes. One major concern is data bias. If the data used to build models reflects existing inequalities or errors, the results will reproduce those flaws. For example, recruitment algorithms trained on...

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