Making in America Berger, Suzanne; MIT Task Force on Production in the Inno, M. I. T. Task
08/2013
eBook
America is the world leader in innovation, but many of the innovative ideas that are hatched in American start-ups, labs, and companies end up going abroad to reach commercial scale. Apple, the ...superstar of innovation, locates its production in China (yet still reaps most of its profits in the United States). When innovation does not find the capital, skills, and expertise it needs to come to market in the United States, what does it mean for economic growth and job creation? Inspired by the MIT Made in America project of the 1980s,Making in Americabrings experts from across MIT to focus on a critical problem for the country.MIT scientists, engineers, social scientists, and management experts visited more than 250 firms in the United States, Germany, and China. In companies across America--from big defense contractors to small machine shops and new technology startups--these experts tried to learn how we can rebuild the industrial landscape to sustain an innovative economy. At each stop, they asked this basic question: "When you have a new idea, how do you get it into the market?" They found gaping holes and missing pieces in the industrial ecosystem. Critical strengths and capabilities that once helped bring new enterprises to life have disappeared: production capacity; small and medium-size suppliers; spillovers of research, training, and new technology from big corporations. (Production in the Innovation Economy, also published by the MIT Press in 2013, describes this research.)Even in an Internet-connected world, proximity to innovation and users matters for industry.Making in Americadescribes ways to strengthen this connection, including public-private collaborations, new government-initiated manufacturing innovation institutes, and industry-community college projects. If we can learn from these ongoing experiments in linking innovation to production, American manufacturing could have a renaissance.
How do markets evolve? Why are some innovations picked up straightaway whilst others take years to be commercialized? Are there first-mover advantages? Why do we behave with 'irrational exuberance' ...in the early evolution of markets as was the case with the dot.com boom? Paul Geroski is a leading economist who has taught economics to business school students, managers, and executives at the London Business School. In this book he explains in a refreshingly clear style how markets develop. In particular he stresses how the early evolution of markets can significantly shape their later development and structure. His purpose is to show how a good grasp of economics can improve managers' business and investment decisions. Whilst using the development of the Internet as a case in point, Geroski also refers to other sectors and products, for example cars, television, mobile phones, and personal computers. This short book is an ideal introduction for managers, MBA students, and the general reader wanting to understand how markets evolve. Available in OSO: http://www.oxfordscholarship.com/oso/public/content/economicsfinance/0199248893/toc.html
Task-Dependent Algorithm Aversion Castelo, Noah; Bos, Maarten W.; Lehmann, Donald R.
Journal of marketing research,
10/2019, Volume:
56, Issue:
5
Journal Article
Peer reviewed
Research suggests that consumers are averse to relying on algorithms to perform tasks that are typically done by humans, despite the fact that algorithms often perform better. The authors explore ...when and why this is true in a wide variety of domains. They find that algorithms are trusted and relied on less for tasks that seem subjective (vs. objective) in nature. However, they show that perceived task objectivity is malleable and that increasing a task's perceived objectivity increases trust in and use of algorithms for that task. Consumers mistakenly believe that algorithms lack the abilities required to perform subjective tasks. Increasing algorithms' perceived affective human-likeness is therefore effective at increasing the use of algorithms for subjective tasks. These findings are supported by the results of four online lab studies with over 1,400 participants and two online field studies with over 56,000 participants. The results provide insights into when and why consumers are likely to use algorithms and how marketers can increase their use when they outperform humans.
Few observers are unimpressed by the economic ambition of China or by the nation's remarkable rate of growth. But what does the future hold? This meticulously researched book closely examines the ...strengths and weaknesses of the Chinese economic system to discover where the nation may be headed and what the Chinese experience reveals about emerging market economies. The authors find that contrary to popular belief, cutting edge innovation is not a prerequisite for sustained economic vitality-and that China is a perfect case in point.
What is sensory marketing and why is it interesting and also important? Krishna defines it as "marketing that engages the consumers' senses and affects their behaviors." In this edited book, the ...authors discuss how sensory aspects of products, i.e., the touch , taste, smell, sound, and look of the products, affect our emotions, memories, perceptions, preferences, choices, and consumption of these products. We see how creating new sensations or merely emphasizing or bringing attention to existing sensations can increase a product's or service's appeal. The book provides an overview of sensory marketing research that has taken place thus far. It should facilitate sensory marketing by practitioners and also can be used for research or in academic classrooms.
Research on growth of innovations introduced to the market has gradually shifted its focus from aggregate-level diffusion to exploring how growth is influenced by a given social network structure's ...characteristics. In this paper, we critically review this branch of literature. We argue that the growth of an innovation in a social network is shaped by the network's structure. Borrowing from the field of industrial organization in economics, which defines itself as the study of the effect of market structure on market performance, we describe this new wave of research on growth of innovations as the effect of social network structure on innovation performance. Hence, social network structural characteristics should be incorporated into research on new product growth as well as into managerial marketing decisions such as targeting and new product seeding.
We review how social network structure influences innovations' market performance. Specifically, we discuss (1) a networks' global characteristics, namely average degree, degree distribution, clustering, and degree assortativity; (2) dyadic characteristics, or the relationships between pairs of network members, namely tie strength and embeddedness; (3) intrinsic individual characteristics, namely opinion leadership and susceptibility; and (4) location-based individual characteristics, namely the degree centrality, closeness centrality, and betweenness centrality of an individual network member.
Overall, we find that growth is particularly effective in networks that demonstrate the “3 Cs”: cohesion (strong mutual influence among its members), connectedness (high number of ties), and conciseness (low redundancy). We identify gaps in current knowledge, discuss the implications on managerial decision making, and suggest topics for future research.
A chemistry professor explains the mechanism of the copper(I)‐catalyzed alkyne–azide cycloaddition (CuAAC) while suggesting that by interrupting the click reaction, it is possible to exploit the ...reactivity of the copper metallacycle intermediate to synthesize new products. The students who are listening are imagining novel synthetic pathways and finding ways to access products that are typically hard to obtain. More information can be found in the Review by M. Giustiniano, G. C. Tron and co‐workers (DOI: 10.1002/chem.202303844).
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