Everyone agrees it is wrong to buy things made with sweatshop labor. Yet many of us are willing to justify our decision when a product—a pair of jeans, for example—is something we really want. HBS doctoral student Neeru Paharia and Professor Rohit Deshpandé study the dark side of buying behavior. Their good news: We can influence change for the better.
Most consumers in America have purchased products made with sweatshop labor at one point or another. However, very little attention has been focused on the psychological mechanisms that enable consumers to propagate a system that implicates harm. Although many people say they care about ethical issues such as humane labor conditions, demand for products that guarantee it remains low. According to some estimates, there are hundreds of thousands of sweatshops still operating today. HBS doctoral student Neeru Paharia and professor Rohit Deshpandé examine whether people may be motivated to morally disengage in the presence of harmful attributes such as sweatshop labor when desire for a product is high. They found that research participants were significantly more likely to agree with statements such as: "The use of sweatshop labor is okay because companies must remain competitive," and "Sweatshops are the only realistic source of income for workers in poorer countries," when confronted with a hypothetical pair of shoes with a higher appeal, versus shoes with a lower appeal. The researchers also found that moral disengagement can drive people to like products they believe to be made with sweatshop labor even more. The authors suggest that since we are confronted with conflicts between our desires and our moral standards on nearly a daily basis, this research calls into question the foundation from which our moral judgments rest on. If our moral judgments are likely to vary based on our affective desires, any moral standards we may hold ourselves to are dubious at best.
Published in 2008
Some places, like Silicon Valley, seem almost magically entrepreneurial with a new start-up on every street corner. Other areas, like declining cities of the Rust Belt, appear equally starved of whatever local attributes make entrepreneurship more likely. Many academics, policymakers, and business leaders stress the importance of local conditions for explaining spatial differences in entrepreneurship and economic development. This paper uses data from the U.S. Census Bureau to characterize these entry relationships more precisely within the manufacturing sector.
Where are the biggest polluters? And what is your company doing to protect the environment? A new Web site—both a public service and a research tool—posts managers' data in real time, allowing a balanced view of industrial environmental performance. HBS professor Michael W. Toffel and senior research fellow Andrew A. King explain.
Published in 2007
Most industries exhibit some degree of geographic concentration. Although many theories attempt to explain this agglomeration, empirical tests of these theories are difficult as they all predict similar outcomes within individual industries. This study considers how industries coagglomerate—that is, which industry pairs locate together—to form a tractable analysis. The authors specifically study the relative importance of proximity to suppliers and customers, to firms using similar labor, and the sharing of ideas for explaining agglomeration.
The interdisciplinary research of economist Kim Clark, former dean of Harvard Business School and now President of Brigham Young University-Idaho, occupies a unique place in management scholarship for three reasons. First, he tended to focus on little known and under-appreciated management groups such as manufacturing managers, product development managers, and product and process architects. Thus, he directly positioned himself outside the "traditional" management disciplines of strategy, finance, marketing, and organizational behavior. Second, he swam against the academic tide by recognizing the power of comparative and longitudinal field studies. Third, he sought frameworks beyond his own field in design theory, the engineering sciences, and finance. This paper reviews his research contributions over almost thirty years.
Published in 2006
Harvard Business School faculty dissect where U.S. auto makers went wrong, and how they might again get on the road to growth. From HBS Alumni Bulletin.
Published in 2005
Homers are things you make for personal use while on company time. Professor Michel Anteby says that although the practice might be illegal, some companies secretly endorse it. Here's why.
Malcolm P. McLean (1914-2001) hit on an idea to dramatically reduce labor and dock servicing time. An excerpt from In Their Time: The Greatest Business Leaders of the Twentieth Century by Harvard Business School's Anthony J. Mayo and Nitin Nohria.
In Alfred D. Chandler Jr's new history of the modern chemical and pharma industries, American Home Products follows a singular path to success. An excerpt from Shaping the Industrial Century.
Published in 2002
As one of the oldest and largest foreign multinationals doing business in the U.S., the history of Unilever's investment in the United States offers a unique opportunity to understand the significant problems encountered by foreign firms. Harvard Business School professor Geoffrey Jones has done extensive research on Unilever, based on full access to restricted corporate records. This recent article from Business History Review is the first publication resulting from that research.
It's not easy to transform a trusty but ailing old stalwart. In an excerpt from their book, Changing Fortunes: Remaking the Industrial Corporation, HBS professor Nitin Nohria and co-authors Davis Dyer and Frederick Dalzell discuss how General Motors and Kodak are attempting precisely that.
That little red number looked smashing onscreen, but the puce caftan the delivery guy brought is just one more casualty of the online shopping battle. HBS professor Jan Hammond researches what the textile and apparel industries can do to curtail returns.
Published in 2001
Toyota's reputation for sustaining high product quality is legendary. But the company's methods are not secret. So why can't other carmakers match Toyota's track record? HBS professor Steven Spear says it's all about problem solving.
Pulitzer Prize-winning historian Alfred D. Chandler Jr. examines the development of two pivotal industries in post-World War II America—the consumer electronics and computer industries.
It's no secret that innovation is what has always made places like Silicon Valley and Hollywood so special. Creativity and expertise centered in one location, it seems, spurs yet more innovation at ever increasing speeds. But what happens when the well runs dry?
Published in 2000
In the late 1960s, Firestone was perhaps the best managed company in its industry. But when Michelin introduced the radial tire and shook up the U.S. market, writes HBS professor Donald Sull, Firestone's historical success proved its own worst enemy.
Published in 1999
A simple bar code scan at your local department store today launches a whirlwind of action: data is transmitted about the color, the size, and the style of the item to forecasters and production planners; distributors and suppliers are informed of the demand and the possible need to restock. All in the blink of an electronic eye. It wasn’t always this way, though. HBS Professor Janice Hammond has focused her recent research on the transformation of the apparel and textile industries from the
classic, limited model to the new lean inventories and flexible manufacturing
capabilities.
How can one production operation be both rigidly scripted and enormously flexible? In this summary of an article from the Harvard Business Review, HBS Professors H. Kent Bowen and Steven Spear disclose the secret to Toyota's production success. The company's operations can be seen as a continuous series of controlled experiments: whenever Toyota defines a specification, it is establishing a hypothesis that is then tested through action. The workers, who have internalized this scientific-method approach, are stimulated to respond to problems as they appear; using data from the strictly defined experiment, they are able to adapt fluidly to changing circumstances.
