Consumer Perceptions of Advertising as Misleading
A mail survey was conducted of 314 residents of two California cities to measure consumer perception of the prevalence of misleading advertising. Information was obtained concerning the extent of misleading advertising in the various media, for 30 products and services and for three age groups. The findings indicate that over half of the sample viewed “most” or “all” mail and telephone advertising as misleading, and that 38 percent of the respondents regarded “most” or “all” television advertising as misleading. Newspaper advertising was considered the most credible. Findings indicate that “most” or “all” advertising for products and services was viewed as misleading by 30 percent of the respondents. Findings for actions taken concerning misleading advertising indicate that nearly half of the sample had registered a complaint to the store or person advertising and that 29 percent of the respondents had complained to a manufacturer. Also, findings for the age groups indicate that two out of three respondents regarded “most” or “all” advertising directed at children as seriously misleading. Advertising directed at senior citizens was viewed as seriously misleading by 45 percent of the sample, and advertising directed at young and middle-aged adults was viewed as only slightly less misleading.
Understanding Business Ethics
CHAPTERS Chapter 1 The Foundation of Ethical Thought Chapter 2 Contemporary Issues in Business Ethics Chapter 3 Stakeholders and Corporate Social Responsibility Chapter 4 Corporate Governance and Corporate Compliance Chapter 5 Ethics and the Environment Chapter 6 Health Care Ethics Chapter 7 Ethics and Information Technology Chapter 8 Strategic Planning and Corporate Culture Chapter 9 Ethics and Financial Reporting Chapter 10 Establishing a Code of Ethics and Ethical Guidelines Chapter 11 Evaluating Corporate Ethics CASES Case 1: Adelphia: What's Wrong With This Picture? Case 2: Ahold: Is That The Dutch Translation of Enron? Case 3: Blue Bayou Case 4: Boeing: How Low Can They Fly? Case 5: Bre-X: All That Glitters Isn't Gold Case 6: Conrad Black and Hollinger International: All the News That's Fit to Sell Case 7: Enron: Were They The Crookedest Guys in the Room? Case 8: Google: Don't Do Evil Unless... Case 9: HealthSouth: The Rise and Fall of the Scrushy Empire Case 10: Herman Miller: Eddie Get Off That Chair Case 11: Interface: More Than Just a Carpet Company Case 12: Livedoor: Ethical Issues in Japan Case 13: Lucent Technologies: What Does FCPA Mean Again? Case 14: Martha Stewart and ImClone: What Color Goes with Prison Gray? Case 15: McWane: A Dangerous Business Case 16: Merck's Vioxx: How Would You Interpret the Data? Case 17: Music Industry: Ethical Issues In a Digital Age Case 18: Parmalat: Can You Sue Over Spilled Milk? Case 19: Perfect Payday: How Apple Computer And Others Have Learned to Love Stock Options Case 20: Tyco: I'm Sure That It's A Really Nice Shower Curtain Case 21: Volkswagen: Herbie Takes Investors for a Ride Case 22: Wal-Mart: But We Do Give Them A 10% Employee Discount Case 23: WorldCom: Can You Hear The Lawsuits Now?
Law and the Fireside Inductions: Some Reflections of a Clinical Psychologist1, 2,
Legislators and judges have relied upon the "fireside inductions" (common sense, anecdotal, introspective, and culturally transmitted beliefs about human behavior) in making and enforcing law as a mode of social control. The behavior sciences conflict at times with the fireside inductions. While the sources of error in "common knowledge" about behavior are considerable, the behavior sciences are plagued with methodological problems which often render their generalized conclusions equally dubious. Legal applications of generalizations from experimental research on humans and animals in laboratory contexts often involve risky parametric and population extrapolations. Statistical analysis of file data suffers from inherent interpretative ambiguities as to causal inference from correlations. Quasi-experiments in the "real-life" setting may often be the methodologically optimal data-source. Language: en