Search results

Highlights product development problems in the UK and suggests the UK has brilliant design skills, but poor processes and is therefore unable to translate design into goods. Describes the view of Sheridan Tatsuno (principal of NeoConcepts) at a recent conference, discusses the future of design as regards concurrent engineering (CE), humanware engineering (HE), human‐computer interface (HCI) and the shift to user‐centric innovation. Examines designs by Britain, Kenneth Grange (consultant product designer) who suggests the reason for the schism between the maker and the merchant in the UK is due to the assembly side of the industry being traditionally less well funded. Concludes UK designers are some of the best in the world but UK companies are the slowest to use this home‐grown talent.

Why should businesses invest in the arts? Why ‘sing for your supper’ when you can earn much more by coding? In an era when artificial intelligence (AI) is forecast to eliminate millions of jobs, many educators and policy-makers advocate scientific, technology, engineering and mathematics (STEM) education as the solution to future unemployment. They envision a workforce of diligent coders who automate everything, including their own jobs. While useful for finding tech jobs today, this myopic approach ignores the coming ‘Cambrian explosion’ of content and services that are being catalysed by exponential technologies. In Silicon Valley, virtual reality (VR) and augmented reality are already being applied to surgery, warehousing, retailing, architecture, construction, cars, therapy and concerts. Top VR managers and developers come from the social sciences and humanities, which provide the analytical and social skills for understanding customers and identifying new use cases and business models. STEM alone cannot answer the complex ethical and policy issues facing businesses: companies need employees with ‘soft skills’ who can integrate STEM with the arts (STEAM). In Silicon Valley today, the most challenging jobs are going to people who can offer practical answers to bottom-line questions about the value of social, cultural and artistic soft skills. What is the value of the arts for business growth? What can businesses learn from the creative industries? How can return on investment in the arts be measured? How will STEAM and exponential technologies enable new business models? How can STEAM education prepare people for the AI era?

Sets out to provide an understanding of the theory of fuzzy logic by supplying background details concerning its evolution in mathematics and computer science. Once a basic understanding of the theory is obtained, then it is easier to understand the implications for computer applications. Fuzzy logic processors and compilers have facilitated the development of expert systems that typically use a lot of imprecise data. These expert systems have been used successfully as control units in industrial settings and as decision support systems in hospital settings. Fuzzy logic has been found to be a practical and viable form of artificial intelligence that mitigates the current drawbacks of other forms of artificial intelligence. But the really exciting development that is poised to emerge is the introduction of fuzzy logic appliances. These appliances employ an expert system on a chip that is able to mimic the range of flexibility of the human mind, while utilizing resources more efficiently.

In the knowledge economy, greater togetherness is the prerequisite for innovating and having more: selflessness extends scope while selfishness increases limitations. But human beings are not automatically attracted to innovation: between the two lies culture and cultural values vary widely, with the egoistic accent or the altruistic intonation setting the scene. In the representations of open innovation we submit to the reader’s attention, selfishness and selflessness are active in the cultural space.

Popularized in the early 2000s, open innovation is a systematic process by which ideas pass among organizations and travel along different exploitation vectors. With the arrival of multiple digital transformative technologies and the rapid evolution of the discipline of innovation, there was a need for a new approach to change, incorporating technological, societal and policy dimensions. Open Innovation 2.0 (OI2) – the result of advances in digital technologies and the cognitive sciences – marks a shift from incremental gains to disruptions that effect a great step forward in economic and social development. OI2 seeks the unexpected and provides support for the rapid scale-up of successes.

‘Nothing is more powerful than an idea whose time has come’ – this thought, attributed to Victor Hugo, tells us how a great deal is at stake with open innovation. Amidon and other scholars have argued that the twenty-first century is not about ‘having more’ but about ‘being more’. The promise of digital technologies and artificial intelligence is that they enable us to extend and amplify human intellect and experience. In the so-called experience economy, users buy ‘experiences’ rather than ‘services’. OI2 is a paradigm about ‘being more’ and seeking innovations that bring us all collectively on a trajectory towards sustainable intelligent living.

Manufacturing is a key to continuous economic growth. Fuzzy expert systems, fuzzy logics, fuzzy languages, fuzzy neural networks, and intelligent control are proposed as additional tools in manufacturing. Fuzzy logic is a new way to program computers and appliances to mimic the imprecise way humans make decisions. Fuzzy logic has been applied to cameras, subways, computers and air conditioners. Through the use of fuzzy logic, fuzzy expert systems can be built which add a new dimension in the technologies for intelligent factories.

We live in the Age of Knowledge, which is impelling us towards the Age of Imagination. The technological wave rises and with it rises a wave of change that will affect both the economy and society. When these two waves will reach the coast where knowledge meets ignorance, and how to ride them, are questions that require us to imagine the future. We must, therefore, embark on the vessel of imagination, leaving behind us the baggage of what we know and understand. Imagination is not just the springboard for ideas; it also acts to connect ideas in different ways that may blossom in the garden of an entrepreneurial renaissance. Symbols, metaphors and concepts that belong to our tacit knowledge come to light in our memory. It is from here that the imagination draws its lifeblood, broadening our horizons, inducing us to interact with others who may be the bearers of other cultures. Are we ready to engage in an imaginative learning process to join business with innovation and art? Are we prepared to design a wide-open white space where the actors of entrepreneurship, innovation and art can generate a constructive tension that will sweep away what appears to be mutual antagonism or incompatibility?

Companies deal with many decision‐making processes whose impact on the global performance can be very strong. As a consequence, the role of the decision support systems (DSSs) within the organization is critical. Considering the imprecise or fuzzy nature of the data in real‐world problems, it becomes obvious that the ability to manage uncertainty turns out to be a crucial issue for a DSS. In this framework, this paper discusses the key role of fuzzy logic (FL) in the DSSs, presents new applications of FL in DSSs in various sectors and identifies new challenges and new directions for further research.