Introducing innovative new products and ideas to the marketplace can be a tricky proposition. Sometimes they take off immediately (like the iPod) and sometimes they can take a while to garner consumer confidence (like the Segway). A troubled economy can make it more difficult to convince consumers to take a leap on a new product. But new research from North Carolina State University finds that targeted marketing to opinion leaders makes it more likely that consumers will buy into innovative products and ideas.

“There are lots of reasons why it might be difficult to get buy-in for a new idea or product,” says Dr. Jon Bohlmann, associate professor of marketing in NC State’s College of Management and co-author of a new paper on how acceptance of innovative technology spreads in the marketplace. “There may be a lack of consumer understanding, uncertainty about whether a product is viable, or it may be that tough financial times make people more hesitant to buy something new.” So Bohlmann and his co-authors looked at how consumers are connected to each other, to see what they could learn about how the relationships between consumers affects the “diffusion of innovation.”

For products that were difficult to diffuse, meaning they were not readily accepted by consumers, the researchers found that clustered networks could be a key to getting greater buy-in from consumers. Clustered networks are social networks where a person’s friends are likely to be friends of each other, rather than being connected to random individuals. People are more likely to take a risk on a new product if someone in their close network cluster is trying the product, rather than if they see an advertisement for the product.

In addition, the presence of well-connected opinion leaders can mean the difference between a new idea catching on or not. In some social networks, large numbers of people are connected by links to a relatively small number of people. For example, every person who reads a popular blog is connected to the person who writes that blog, but they are not necessarily connected to each other. The blogger serves as a sort of hub, serving as the primary link for the network and offering a potential kick-start to the innovation.

“How consumers are connected to each other is essential to understanding the spread of new products,” Bohlmann says, “because social communication is the key to diffusing innovation.”

Bohlmann explains that this finding could be important given the economic climate. “People are being more judicious in spending their marketing money, and we found that spending money to reach out to a large audience would be better spent focusing on well-connected, influential members of a social network – such as opinion leaders on blogs, industry leaders, and so on,” Bohlmann says. “Instead of an ad campaign, I’ll seek out the opinion leaders in the network I’m marketing to.

“But,” Bohlmann adds, “we found that it is not only about getting people on board, but getting people on board who are influential in their social network. Not just having a lot of connections, but having strong connections. Depending on the kind of innovation we’re talking about, these influential people could be community leaders, members of trade groups, et cetera.”

For example, Bohlmann says, some nationally influential physicians may prescribe an innovative drug. This might influence some regionally prominent physicians to follow suit. Soon you have a domino effect, with local physicians willing to prescribe the new drug.

The study, “The Effects of Market Network Heterogeneity on Innovation Diffusion: An Agent-Based Modeling Approach,” was co-authored by Bohlmann, Dr. Roger Calantone of Michigan State University and Dr. Meng Zhao of California State University, Dominguez Hills. The paper will be published in the September issue of the Journal of Product Innovation Management.

The movie Logorama is set in a “stylized Los Angeles,” and includes the depiction of more than 2,500 contemporary and historical logos and mascots.

You might find it “kitschy,” or possibly “brilliant.” Keep in mind that any sense of comfort derived from these visuals illustrates how deeply immersed one is in our consumerist culture.

Below you’ll find a clip to watch.

For those of you having a more developed attention span, Plexav is proud to present to you the full length version of:

For the past several weeks there has been a shocking increase in the number of searchbot visits to my site, Plexav.com. My real-time visitor tracking software fails to identify these bots, tagging them as actual people instead. What’s going on here?

In a finding that may speed efforts to conserve oil and intensify the search for alternative fuel sources, scientists in Kuwait predict that world conventional crude oil production will peak in 2014 — almost a decade earlier than some other predictions. Their study is in ACS’ Energy & Fuels, a bi-monthly journal.

Ibrahim Nashawi and colleagues point out that rapid growth in global oil consumption has sparked a growing interest in predicting “peak oil” — the point where oil production reaches a maximum and then declines. Scientists have developed several models to forecast this point, and some put the date at 2020 or later. One of the most famous forecast models, called the Hubbert model, accurately predicted that oil production would peak in the United States in 1970. The model has since gained in popularity and has been used to forecast oil production worldwide. However, recent studies show that the model is insufficient to account for more complex oil production cycles of some countries. Those cycles can be heavily influenced by technology changes, politics, and other factors, the scientists say.

The new study describe development of a new version of the Hubbert model that accounts for these individual production trends to provide a more realistic and accurate oil production forecast. Using the new model, the scientists evaluated the oil production trends of 47 major oil-producing countries, which supply most of the world’s conventional crude oil. They estimated that worldwide conventional crude oil production will peak in 2014, years earlier than anticipated. The scientists also showed that the world’s oil reserves are being depleted at a rate of 2.1 percent a year. The new model could help inform energy-related decisions and public policy debate, they suggest.