Thought, Action and Scientific Technology

Rationalists assign primacy to rational thought, not to action; irrationalists dispute this. This discrepancy should be recast in view of recent modifications of rationalism.Traditional rationalism ascribes rationality to demonstrated opinions; contemporary rationalism replaces this by some more moderate view. According to traditional rationalism the rationality of actions is borrowed from the rationality of the opinion on which they rest (given actors' goals and circumstances). This creates an unbridgeable chasm between thought and action. It is therefore better to view rationality as a quality of action alone, and take actors' knowledge to be a component of their circumstances, and their search for new knowledge as rational action. As the rationality of opinions, it is now viewed as a matter of tests, which is a rational activity, so that now thought and action may combine.Scientific technology invites further reform of the theory of rationality, with the rejection of the old view of it as applied demonstrable opinion. Technological conduct often rests on institutionalized opinions, not on actors' personal opinions: institutions determine levels of rationality and of social responsibility. Scientific technology depends more on skills than on information; it thus differs from fully articulated knowledge and is differently institutionalized.Scientific technology is an institutional complex of articulated knowledge and skills that depends on social responsibility. The irrationalist view of the primacy of tradition or of action precludes their rational control. Rational control is best attained by democratic legislation aimed at improving the performance level of technology and its contribution to the quality of life.     

Toward an Ethics of Technologies as Prostheses

This paper discusses critically the historical bond that exists between contemporary culture and the instrumental definition of technology, according to which technology is a means, a complex of instruments that serve particular human ends. It argues and illustrates that technologies not only serve human ends but also have ends in themselves. Ancient and modern technologies have always had intrinsic ends, they are highly effective achieving those ends and these have ethical importance. As cultural entities with intrinsic ends, technologies are not necessarily congruous with our ends and have generally transformed our ways of life in very unconscious ways.I propose an ethics of technologies based on the idea that all technologies have a tendency to become prostheses. As part of our being, the ends of technologies become our ends. In the frenzy of instrumentalism and presumed progress, contemporary technologies as prostheses transform the experience of what is far at the expense of what is near. Our ethics opens ways of raising questions with respect to these structural transformations and the communities we might want to envision and consider for humans who may hopefully be capable and willing to choose their technologies in more conscious ways.     

The power of imperfect imitation

We examine the power and limitations of imitation. Naive intuition may hold that the efficacy of imitation would be diminished by imperfections in copying high‐performing firms. Employing a computational model, we study the dynamics of imitation when firms are subject to bounded rationality that limits their ability to copy the market leader. We find that imperfect imitation can generate unexpectedly good outcomes for follower firms—indeed, better than the outcomes achieved if they were perfect imitators. Moreover, imperfect imitation, from time to time, enables follower firms to surpass superior firms. These findings suggest there is an adaptive role to mechanisms, such as bounded rationality, that make perfect imitation difficult. Copyright © 2012 John Wiley & Sons, Ltd.     

Ethics of autonomous weapons systems and its applicability to any AI systems

Most artificial intelligence technologies are dual-use. They are incorporated into both peaceful civilian applications and military weapons systems. Most of the existing codes of conduct and ethical principles on artificial intelligence address the former while largely ignoring the latter. But when these technologies are used to power systems specifically designed to cause harm, the question must be asked as to whether the ethics applied to military autonomous systems should also be taken into account for all artificial intelligence technologies susceptible of being used for those purposes. However, while a freeze in investigations is neither possible nor desirable, neither is the maintenance of the current status quo. Comparison between general-purpose ethical codes and military ones concludes that most ethical principles apply to human use of artificial intelligence systems as long as two characteristics are met: that the way algorithms work is understood and that humans retain enough control. In this way, human agency is fully preserved and moral responsibility is retained independently of the potential dual-use of artificial intelligence technology.     

Technology search investments: evolutionary,option reasoning,and option pricing approaches

How do firms allocate limited search resources among substituting technologies with uncertain prospects? This paper contrasts three different approaches. The first follows evolutionary theorists' portrayals of decision‐making processes under bounded rationality. The second approach—real option reasoning—fosters flexibility by investing in more than one technology and postponing the decision to specialize. Following the third approach—real option pricing—firms base their search investments on forward‐looking calculations of technology option prices. We lay out the contrasting theoretical assumptions behind each of these three approaches and construct a simulation model to compare their implications. Copyright © 2004 John Wiley & Sons, Ltd.     

Design and application of task administration protocols for collaborative production and service systems

This research investigates the design of Task Administration Protocols (TAPs) for effective task allocation and administration in collaborative production/service systems. Customer-focused and concurrent engineering service systems process tasks more effectively as a result of the power of collaboration among multiple participants. In such environments, however, complex situations might arise that require decisions that cannot be handled by simple Coordination Protocols (CPs). To design an effective control mechanism to manage complex situations, this research identifies basic problems in collaborative task administration and proposes the design framework of protocols to solve the problems. In the framework, TAPs consist of three component-protocols: (1) Task Requirement Analysis Protocol, (2) Shared Resource Allocation Protocol, and (3) Synchronization and Time-Out Protocol. Each component protocol is activated to address priority-based allocation, resource-aware allocation, and task re-allocation at a different task administration context, ranging from task initialization, task allocation, to task monitoring, respectively. To analyze feasibility and effectiveness of the proposed design, TAPs are applied to two collaborative production/service systems. Simulations are conducted to evaluate the performance achieved by different TAPs and non-TAP CPs under various load conditions. The results show that there is a significant performance improvement by TAPs over CPs in most cases, e.g., 84% vs. 64% in terms of task completion ratio. The advantage of TAPs can be explained by their design with relatively higher level of collaborative intelligence, addressing more complex control logic than non-TAP CPs.     

Nutrition planning is alive and well, thank you

This article is a rejoinder to an article by John Osgood Field which discussed the failure of multisectoral nutrition planning. The author argues that, although nutrition planners may have been overly optimistic in their hopes that political systems could be made responsive to the problems, significant advances have been achieved. He outlines many of the successes of nutrition planning and the importance of multisectoral work. Malnutrition is a problem that escapes all the standard programmes, and cannot be tackled through the health and agriculture sectors alone.     

New product success factors: A comparison of 'kills' versus successes and failures

The paper reports an analysis of the characteristics of those new projects that are killed, that is, terminated before commercialisation. Such projects constitute the majority of new product projects. The authors' aim was to learn from the differences between 'kills' and those that are commercialised. The latter may, of course, turn out to be successes or failures.
Their sample consisted of 250 new projects of which 123 were ultimately successful, 80 failed and 47 were kills. Two hypotheses were tested: that kills and failures had similar characteristics and that kills differed from successes in the way that failures differed from successes. Four groups of multidimensional project characteristics were measured: product advantage, market attractiveness, competitive situation, and synergy/familiarity.
The results showed that neither hypothesis was generally supported, The patterns of characteristics observed were complex but were unravelled through a computer model simulating how managers perform the evaluation process. It showed that the results could be explained on the basis that errors could be made in evaluation. For example, it is difficult to evaluate product advantage. Surprisingly, competitive situation is not a discriminator between successes, failures and kills but managers treat it as if it were. Some characteristics are perceived by managers to be negative although they are, in fact, favourable to project success.
The authors claim that these results should lead to better allocation of R&D resources among proposed projects.     

Designing an electronic auction market for complex ‘smart parts’ logistics: Options based on LeBaron's computational stock market

Modern technologies, such as RFID, offer never-before seen learning abilities to parts moving in supply chains. Logistics systems may be understood as complex adaptive logistics systems (CALS). They also may be conceived as electronic auction markets as ‘smart parts’ bid for the best routing and pricing from transportation firms. To ensure the world-wide functionality and efficiency of CALS transportation markets, we suggest the utility of an agent-based computational market design based on Blake LeBaron's stock-market model. Given that parts may be more or less smart, markets more or less complex, and self-organizing CALS systems probabilistically subject to the bullwhip effect, we suggest nine different computational CALS market-design options, offering more adaptivity to unexpected environmental contingencies.     

Socio-economic characteristics and the effect of taxation as a health policy instrument

This paper analyses the quantitative effects of using economic instruments in health policy on the basis of price elasticities calculated from estimated demand systems. The nutritional effects of various taxation schemes are compared for households in different age groups and social classes. Focusing on the consumption of saturated fats, fibre and sugar; it is generally found that the impact of price instruments is stronger for lower social classes than in other groups of the population. With regard to age groups, it is mostly the youngest that decrease their demand for saturated fat in response to price changes, while it is mostly the middle-aged who exhibit price responsiveness in their demand for sugar. These groups are however not considered as key target groups for dietary regulation; thus tax instruments may be effective in improving diets on average, but the design of the instruments and the targeting of vulnerable groups with special needs should be done with care. It should be noted that a tax on a single nutrient or food may have undesired effects on the demand for other food components, though this may be avoided by introducing taxes/subsidies on several food products simultaneously.     

Network-centric digital development in Korea: Origins,growth and prospects

South Korea is currently the world leader in digital network infrastructure and the leading example of ICT-driven development. However, the explanation of how and why Korea accomplished these things is not clearly apparent from a review of mainstream scholarship. A deeper understanding of Korea’s “miracle on the Han” requires more historical, cultural, political and social context. This study addresses questions of how, when and why a nation whose infrastructures were utterly destroyed at the 1953 cessation of hostilities in the Korean War could emerge as the world’s digital network leader. It examines policy issues bearing on digitization of networks, network architecture and network technologies, along with broader context in which these policies were considered, drafted and implemented. Chronologically, the study explains the origins of digital development in the revolutionary decade of the 1980s, Korea’s rise to world broadband leader in the 1990s and its ambitious plans for next generation networks. The study concludes with a review of policy “lessons”, including both successes and failures, that may be drawn from the Korean experience.     

Commitment to technological change,sales force intelligence norms,and salesperson key outcomes

Despite increasing interest in sales technology investments, companies continue to struggle with getting their salespeople to use these expensive technologies. In this context, two under-researched issues warrant attention. First, although sales technology represents a continuous source of change, little is known about why salespeople commit to technology-induced changes. Second, knowledge on whether sales force intelligence norms play a role into translating use of sales technology to performance gains is remarkably sparse. To address these gaps, this study develops a conceptual framework that explores the linear and non-linear effects of commitment to technological change (i.e., affective, normative, and continuance) on sales technology infusion, and, in turn, on two key outcomes (i.e., customer-oriented selling and sales performance). Our framework also advances knowledge on how sales force intelligence norms (i.e., analytical sales processes and knowledge sharing with customers) moderate the relationships between sales technology infusion and key outcomes. Analysis is done using multilevel structural equation modeling on a sample of 303 salespeople nested within 22 firms. Findings support the view that the three components of commitment are distinct, with some counter-intuitive results. Specifically, affective commitment does not exert a significant positive influence as expected; yet, normative commitment does. In contrast, while lower levels of continuance commitment reduce infusion, higher levels have positive effects, thus depicting a U-shaped effect. Finally, sales technology infusion influences both key outcomes — and findings support the importance of fostering sales force intelligence norms. Implications of the study are discussed.     

The integrative domain of foresight and competitive intelligence and its impact on R&D management

R&D takes years to come to fruition, thus choosing R&D programs should be set in the context of the environment that will exist at the time that research is completed. Foresight and competitive intelligence are two fields that seek to address future oriented environmental scanning. The paper looks at what the domains of foresight and competitive intelligence entail and in particular how competitive technical intelligence can work to integrate and enable competitive agility in foresight positioning. Focus is put on reviewing literature that addresses how foresight impacts R&D project selection. A review is made on foresight programs from around the world based on a recently completed study on Canada's foresight capacity. The authors conclude that agile organizations need to be adaptive and well prepared for tomorrow's challenges and so by integrating competitive technical intelligence, (typically oriented to business needs) with strategic technology foresight, (typically designed to address government priorities for technology investments and innovation policy issues), enterprises will be best positioned to address uncertainties in the technology cycle.     

Strategic decision making in business relationships: A dyadic agent-based simulation approach

This study employs agent-based simulation to model strategic decision making in business relationships, examining the influence of two important strategy drivers in business relationships (performance and power) on relationship success (relationship survival and performance). The study offers insights into the complex and evolutionary interaction and feedback effects between networking strategy choice, relationship performance and power. Findings show that although certain strategies may be desirable for firms to manage their business relationships, they are not necessarily as successful in all situations. Results indicate that a trade-off exists between relationship context and performance which needs to be considered in strategic networking decisions. Further, the study shows that too many strategy changes cause relationships to become unstable and thus negatively affect performance. The authors refer to this phenomenon as strategy volatility — the rate at which actors change their networking strategies within relationships. This phenomenon arises when too many variables influence firms' decision making and thus cause firms to frequently change their strategy. Although strategy volatility has a relationship safeguarding effect in the short term, this effect diminishes over time.     

Working around technologies—invisible professionalism?

This study discusses how professionalism and work ethics influence how health care professionals work around new technologies. When people avoid using technologies, they are not necessarily ceasing to engage in their work activities. The workaround strategies presented here are rather practical expressions of professionals’ active encounter with the complexity of work situations, and can therefore be important signs of professional ethical judgement. Drawing on science and technology studies and the concept of invisible work, the study discusses workaround situations that arise in health care work in Denmark. The aim and contribution of the study is twofold. First, it attempts to revitalise the discussion on technology workaround strategies as responsible professionalism. Second, it will direct attention to and contribute to an understanding of how the normativity embedded in technological development in the health care sector is central to the work of health care professionals.     

Artificial intelligence-based systems applied in industrial marketing: An historical overview,current and future insights

Intelligent systems have particular potentialities and strengths to support decisional situations faced by companies, especially those of a strategic nature, where good strategic intelligence is necessary. In this paper, we carry out an historical literature review of artificial intelligence-based systems applied to marketing, covering a time period of several decades (from the 1970s to the present day), with special focus on applications to industrial marketing. A detailed review is presented, along with conclusions and some future insights. Then, we briefly introduce the set of papers in this special issue.     

Enabling open innovation in small‐ and medium‐sized enterprises: how to find alternative applications for your technologies

A critical success factor in the practice of Open Innovation is the timely identification of opportunities for out‐licensing a firm's technologies outside its core business. This can be particularly challenging for small‐ and medium‐sized enterprise (SMEs), because of their focussed business portfolio, specialized knowledge basis, and limited financial resources that can be devoted to innovation activities. The paper illustrates a quick and easy‐to‐use methodology for the identification of viable opportunities for out‐licensing a firm's technologies outside its core business. The method uses established TRIZ instruments in combination with non‐financial weighting and ranking techniques and portfolio management tools. It has been developed by the authors in collaboration with an Italian SME working in the packaging industry.     

Aspects of technology assessment – the future role of artificial intelligence

The author regrets that the artificial intelligence (Al) community is too inward looking. There is not enough concern with the potential impact of the new technologies of Al on the world outside. For example, it gives too little importance to the needs of the system user. Continued neglect may mean that it will fall victim to the current shake-out in the computer industry. The current tendency to restrict system development to modelling expertise rather than general intelligence is a good sign, reflected in the general adoption of the term knowledge engineering rather than Al.
The author surveys briefly some of the problems that may bar rapid development: secrecy, the gap between Academe and the industrial user and lack of standardisation. For continued progress it will be necessary to concentrate on designing simple systems, studying knowledge acquisition and orientation on the user. The author appeals for a systematic technology assessment programme to devise means of avoiding negative social impacts such as further de-skilling of the workforce, concentration of the know-how into too few hands amd fostering the false idea that Al will eliminate the need for human judgment in decision-making.     

How does sales force automation influence relationship quality and performance? The mediating roles of learning and selling behaviors

Sales force automation (SFA) technologies are increasingly used to support customer relationship management strategies. However, previous studies have reported mixed results about the performances of SFA technologies. Therefore, this study seeks to further examine the impact of SFA usage on both customer relationship quality and sales performance. Additionally, the mediating roles of learning and adaptive selling behaviors on the outcomes of SFA usage are investigated. The results highlight the mediating role of salesperson learning and adaptive selling behaviors in the SFA usage and sales performance relationship. Especially noteworthy is the impact of learning through adaptive selling on those outcome variables. Implications for SFA research and practice that may further improve our understanding of this increasingly relevant topic are also offered.     

2005 ASEE–EED Business Meeting Minutes

Tolerance is an important aspect in comparing alternative designs and manufacturing processes. This paper presents a brief review of the previous work in the area of tolerance as it relates to manufacturing strategies and technologies. In addition, models for the economic selection of part tolerance that consider reworking are developed. The models can be helpful in augmenting some of the current artificial intelligence modules and expert systems to improve their performance.