A study of new product market search and user adoption

The research was carried out in the Aviation Division of Dunlop Limited and was initiated as a search for more diverse uses for carbon/carbon composites. An assumed communication model of adoption was refined by introducing the concept of a two way search after making cross industry comparisons of supplier and consumer behaviour. This research has examined methods of searching for new uses for advanced technology materials. Two broad approaches were adopted. First, a case history approach investigated materials that had been in a similar oosition to carbon/carbon to see how other material producing firms had tackled the problem. Second, a questionnaire survey among industrialists examined: the role and identity of material decision makers in different sized firms; the effectiveness of various information sources and channels; and the material adoption habits of different industries. The effectiveness of selected information channels was further studied by monitoring the response to publicity given to carbon/carbon. A flow chart has been developed from the results of this research which should help any material producing firm that is contemplating the introduction of a new material to the world market. Further benefit to our understanding of the innovation and adoption of new materials would accrue from work in the followino areas: "micro" type case histories; understanding more fully the role of product champions or promoters; investigating the phase difference between incremental and radical type innovations for materials; examining the relationship between the adoption rate of new materials and the advance of technology; studying the development of cost per unit function methods for material selection; and reviewing the benefits that economy of scale studies can have on material developments. These are all suggested areas for further work.

Learner support and discovery in a virtual non-judgmental environment

This thesis is a qualitative case study that draws upon a grounded genre analysis approach situated within the social constructivist paradigm. The study describes the various obligatory, desired, and optional moves used by post-graduate students as they interacted within an online, non-judgmental environment in order to seek solutions to issues they were experiencing with their research projects or teaching. The postgraduate students or case participants met individually online with me at pre-arranged times to take part in Instant Messenger Cooperative Development (IMCD) (Boon, 2005) 30-minute to one hour sessions via the text-chat function of Skype. Participants took on the role of ‘Explorer’ in order to articulate their thoughts and ideas about their research. I took on the role of ‘Understander’ to provide support to each Explorer by reflecting my understanding of the ongoing articulations as the Explorers investigated their specific issues, determined possible ways to overcome them, made new discoveries, and formulated plans of action regarding the best way for them to move forward. The description of generic moves covers 32 IMCD sessions collected over a threeyear period (2009-2012) from 10 different participants (A-J). Data collected is drawn from live IMCD sessions, field notes, and post-session email feedback from participants. In particular, the thesis focuses on describing the specific generic moves of Explorers within IMCD sessions as they seek satisfactory resolutions to particular research or pedagogic puzzles. It also provides a detailed description of a longitudinal case (Participant A – four sessions), a one-session case (Participant B – one session), and an outlier case in which the Explorer underwent a negative IMCD experience. The thesis concludes by arguing that IMCD is a highly effective tool that helps facilitate the research process for both distance-learning and on-campus students and has the potential to be utilized across all disciplines at the tertiary level.

Firms’ knowledge search and local knowledge externalities in innovation performance

We use an augmented version of the UK Innovation Surveys 4–7 to explore firm-level and local area openness externalities on firms’ innovation performance. We find strong evidence of the value of external knowledge acquisition both through interactive collaboration and non-interactive contacts such as demonstration effects, copying or reverse engineering. Levels of knowledge search activity remain well below the private optimum, however, due perhaps to informational market failures. We also find strong positive externalities of openness resulting from the intensity of local interactive knowledge search—a knowledge diffusion effect. However, there are strong negative externalities resulting from the intensity of local non-interactive knowledge search—a competition effect. Our results provide support for local initiatives to support innovation partnering and counter illegal copying or counterfeiting. We find no significant relationship between either local labour quality or employment composition and innovative outputs.

Combinatorial solid phase synthesis of multiply substituted 1,4-benzodiazepines and affinity studies on the CCK2 receptor (Part 1)

One hundred sixty-eight multiply substituted 1,4-benzodiazepines have been prepared by a five-step solid-phase combinatorial approach using syn-phase crowns as a solid support and a hydroxymethyl-phenoxy-acetamido linkage (Wang linker). The substituents of the 1,4-benzodiazepine scaffold have been varied in the -3, -5, -7, and 8-positions and the combinatorial library was evaluated in a cholecystokinin (CCK) radioligand binding assay. 3-Alkylated 1,4-benzodiazepines with selectivity towards the CCK-B (CCK2) receptor have been optimized on the lipophilic side chain, the ketone moiety, and the stereochemistry at the 3-position. Various novel 3-alkylated compounds were synthesized and [S]3-propyl-5-phenyl-1,4-benzodiazepin-2-one, [S]NV-A, has shown a CCK-B selective binding at about 180 nM. Fifty-eight compounds of this combinatorial library were purified by preparative TLC and 25 compounds were isolated and fully characterized by TLC, IR, APCI-MS, and 1H/13C-NMR spectroscopy.

Synthesis and evaluation of asperlicin analogues as non-peptidal cholecystokinin-antagonists

The SAR of Asperlicin analogues is reported, leading to bioactive 1,4-benzodiazepine-2-ones, which were prepared in a 3 step reaction sequence. The Asperlicin substructure was built up using Tryptophan and readily available 2-amino-acetophenones. This template, containing a 1,4-benzodiazepin-2-one moiety with a 3-indolmethyl side chain, was transformed into mono- and di-substituted 3-indol-3 '-yl-methyl-1,4-benzodi-azepine-2-ones by selective alkylation and acylation reactions. The SAR optimization of the 1,4-benzodiazepine scaffold has included variations at the 5-, 7-, 8-position, at the N1, N-indole nitrogen and the configuration of the C3-position. The most active Asperlicin analogue, having an IC50 of 1.6 microM on the CCKA receptor subtype, was obtained from Tryptophan in only 3 steps in an overall yield of 48%.

Modulation of certain 5-HT-related behaviours by serotonergic and noradrenergic systems

The modulation of 5-hydroxytryptamine (5-HT)-related head-twitchbehaviour by antimigraine drugs and migraine triggers was examined inmice. The antimigraine drugs examined produced either inhibition or noeffect on 5-HT-related head-twitching. On the basis of these resultsit is suggested that 5-HT-related head-twitching is unlikely to beuseful in the preclinical screening and discovery of systemically-activeantimigraine agents. The migraine triggers examined, tyramineand beta-PEA initially produced a repeatable complex time-relatedeffect on 5-HT-related head-twitching, with both inhibition andpotentiation of this behaviour being observed, however, when furtherexamination of the effect of the migraine triggers on 5-HT-relatedhead-twitching was attempted some time later the effects seeninitially were no longer produced. The effect of (±)-1-<2, 5-dimethoxy-4-iodophenyl)-2-aminopropane,((±)DOl), on on-going behaviour of mice and rats was examined. Shakingbehaviour was observed in both species. In mice, excessive scratchingbehaviour was also present. (±)DOl-induced scratching and shakingbehaviour were found to be differentially modulated by noradrenergicand serotonergic agents, however, the fact that both behaviours wereblocked by ritanserin (5-HT2/5-HT1c receptor antagonist) and inhibitedby FLA-63 (a dopamine-beta-oxidase inhibitor which depletesnoradrenaline), suggests the pathways mediating these behaviours mustbe convergent in some manner, and that both behaviours require intact5-HT receptors, probably 5-HT2 receptors, for their production. Ingeneral, the behavioural profile of (±)DOI was as expected for anagent which exhibits high affinity binding to 5-HT2/5-HT1c receptors.Little sign of the 5-HTl-related '5-HT syndrome' was seen in eithermice or rats. The effect of a variety of noradrenergic agents on head-twitchinginduced by a variety of shake-inducing agents was examined. A patternof modulatory effect was seen whereby the modulatory effect of thenoradrenergic agents on 5-hydroxytryptophan <5-HTP) (and in some cases, 5-methoxy-N,N-dimethyltryptamine (5-MeODMT)) was found to be the opposite of that observed with quipazine and (±)DOI. The relationship between these effects, and their implications for understanding the pharmacology of centrally acting drugs is discussed.

Overcoming network overload and redundancy in inter-organizational networks:the roles of potential and latent ties

This paper builds on Granovetter's distinction between strong and weak ties [Granovetter, M. S. 1973. The strength of weak ties. Amer. J. Sociol. 78(6) 1360–1380] in order to respond to recent calls for a more dynamic and processual understanding of networks. The concepts of potential and latent tie are deductively identified, and their implications for understanding how and why networks emerge, evolve, and change are explored. A longitudinal empirical study conducted with companies operating in the European motorsport industry reveals that firms take strategic actions to search for potential ties and reactivate latent ties in order to solve problems of network redundancy and overload. Examples are given, and their characteristics are examined to provide theoretical elaboration of the relationship between the types of tie and network evolution. These conceptual and empirical insights move understanding of the managerial challenge of building effective networks beyond static structural contingency models of optimal network forms to highlight the processes and capabilities of dynamic relationship building and network development. In so doing, this paper highlights the interrelationship between search and redundancy and the scope for strategic action alongside path dependence and structural influences on network processes.

Does online information drive offline revenues? Only for specific products and consumer segments!

While many offline retailers have developed informational websites that offer information on products and prices, the key question for such informational websites is whether they can increase revenues via web-to-store shopping. The current paper draws on the information search literature to specify and test hypotheses regarding the offline revenue impact of adding an informational website. Explicitly considering marketing efforts, a latent class model distinguishes consumer segments with different short-term revenue effects, while a Vector Autoregressive model on these segments reveals different long-term marketing response. We find that the offline revenue impact of the informational website critically depends on the product category and customer segment. The lower online search costs are especially beneficial for sensory products and for customers distant from the store. Moreover, offline revenues increase most for customers with high web visit frequency. We find that customers in some segments buy more and more expensive products, suggesting that online search and offline purchases are complements. In contrast, customers in a particular segment reduce their shopping trips, suggesting their online activities partially substitute for experiential shopping in the physical store. Hence, offline retailers should use specific online activities to target specific product categories and customer segments.

Regrouping metric-space search index for search engine size adaptation

This work contributes to the development of search engines that self-adapt their size in response to fluctuations in workload. Deploying a search engine in an Infrastructure as a Service (IaaS) cloud facilitates allocating or deallocating computational resources to or from the engine. In this paper, we focus on the problem of regrouping the metric-space search index when the number of virtual machines used to run the search engine is modified to reflect changes in workload. We propose an algorithm for incrementally adjusting the index to fit the varying number of virtual machines. We tested its performance using a custom-build prototype search engine deployed in the Amazon EC2 cloud, while calibrating the results to compensate for the performance fluctuations of the platform. Our experiments show that, when compared with computing the index from scratch, the incremental algorithm speeds up the index computation 2–10 times while maintaining a similar search performance.

Predicting dyslexia using prereading skills:the role of sensorimotor and cognitive abilities

Background: It is well established that phonological awareness, print knowledge and rapid naming predict later reading difficulties. However, additional auditory, visual and motor difficulties have also been observed in dyslexic children. It is examined to what extent these difficulties can be used to predict later literacy difficulties. Method: An unselected sample of 267 children at school entry completed a wide battery of tasks associated with dyslexia. Their reading was tested 2, 3 and 4 years later and poor readers were identified (n = 42). Logistic regression and multiple case study approaches were used to examine the predictive validity of different tasks. Results: As expected, print knowledge, verbal short-term memory, phonological awareness and rapid naming were good predictors of later poor reading. Deficits in visual search and in auditory processing were also present in a large minority of the poor readers. Almost all poor readers showed deficits in at least one area at school entry, but there was no single deficit that characterised the majority of poor readers. Conclusions: Results are in line with Pennington’s (2006) multiple deficits view of dyslexia. They indicate that the causes of poor reading outcome are multiple, interacting and probabilistic, rather than deterministic. Keywords: Dyslexia; educational attainment; longitudinal studies; prediction; phonological processing.

Ranking ontologies with AKTiveRank

Ontology search and reuse is becoming increasingly important as the quest for methods to reduce the cost of constructing such knowledge structures continues. A number of ontology libraries and search engines are coming to existence to facilitate locating and retrieving potentially relevant ontologies. The number of ontologies available for reuse is steadily growing, and so is the need for methods to evaluate and rank existing ontologies in terms of their relevance to the needs of the knowledge engineer. This paper presents AKTiveRank, a prototype system for ranking ontologies based on a number of structural metrics.

A comparative evaluation of term recognition algorithms

Automatic Term Recognition (ATR) is a fundamental processing step preceding more complex tasks such as semantic search and ontology learning. From a large number of methodologies available in the literature only a few are able to handle both single and multi-word terms. In this paper we present a comparison of five such algorithms and propose a combined approach using a voting mechanism. We evaluated the six approaches using two different corpora and show how the voting algorithm performs best on one corpus (a collection of texts from Wikipedia) and less well using the Genia corpus (a standard life science corpus). This indicates that choice and design of corpus has a major impact on the evaluation of term recognition algorithms. Our experiments also showed that single-word terms can be equally important and occupy a fairly large proportion in certain domains. As a result, algorithms that ignore single-word terms may cause problems to tasks built on top of ATR. Effective ATR systems also need to take into account both the unstructured text and the structured aspects and this means information extraction techniques need to be integrated into the term recognition process.

Computer aided selection of candidate vaccine antigens

Immunoinformatics is an emergent branch of informatics science that long ago pullulated from the tree of knowledge that is bioinformatics. It is a discipline which applies informatic techniques to problems of the immune system. To a great extent, immunoinformatics is typified by epitope prediction methods. It has found disappointingly limited use in the design and discovery of new vaccines, which is an area where proper computational support is generally lacking. Most extant vaccines are not based around isolated epitopes but rather correspond to chemically-treated or attenuated whole pathogens or correspond to individual proteins extract from whole pathogens or correspond to complex carbohydrate. In this chapter we attempt to review what progress there has been in an as-yet-underexplored area of immunoinformatics: the computational discovery of whole protein antigens. The effective development of antigen prediction methods would significantly reduce the laboratory resource required to identify pathogenic proteins as candidate subunit vaccines. We begin our review by placing antigen prediction firmly into context, exploring the role of reverse vaccinology in the design and discovery of vaccines. We also highlight several competing yet ultimately complementary methodological approaches: sub-cellular location prediction, identifying antigens using sequence similarity, and the use of sophisticated statistical approaches for predicting the probability of antigen characteristics. We end by exploring how a systems immunomics approach to the prediction of immunogenicity would prove helpful in the prediction of antigens.

Food colours:a study of the effects of regulation

In the 1960s the benefits of government regulation of technology were believed to outweigh any costs. But recent studies have claimed that regulation has negative effects on innovation, health and consumer choice. This case study on food colours examines such claims. EFFECTS ON HEALTH were measured by allocating a hazard rating to each colour. The negative list of 1925 removed three harmful colours which were rapidly replaced, so the benefits were short-lived. Had a proposed ban been adopted in the 1860s it would have prevented many years exposure to hazardous mineral colours. The positive list of 1957 reduced the proportion of harmful coal tar dyes from 54% of the total to 20%. Regulations brought a greater reduction in hazard levels than voluntary trade action. Delays in the introduction of a positive list created a significant hazard burden. EFFECTS ON INNOVATION were assessed from patents and discovery dates. Until the 1950s food colours were adopted from textile colours. The major period of innovation for coal tar colours was between 1856 and 1910, finishing well before regulations were made in 1957, so regulations cannot be blamed for the decline. Regulations appear to have spurred the development of at least one new coal tar dye, and many new plant colours, creating a new sector of the dye industry. EFFECTS ON CONSUMER CHOICE were assessed by case studies. Coloured milk, for example, was banned despite its popularity. Regulations have restricted choice, but have removed from the market foods that were nutritionally impoverished and poor value for money. Compositional regulations provided health protection because they reduced total exposure to colours from certain staple foods. Restricting colours to a smaller range of foods would be an effective way of coping with problems of quality and imperfect toxicological knowledge today.

Individual differences in human-computer interaction

This thesis initially presents an 'assay' of the literature pertaining to individual differences in human-computer interaction. A series of experiments is then reported, designed to investigate the association between a variety of individual characteristics and various computer task and interface factors. Predictor variables included age, computer expertise, and psychometric tests of spatial visualisation, spatial memory, logical reasoning, associative memory, and verbal ability. These were studied in relation to a variety of computer-based tacks, including: (1) word processing and its component elements; (ii) the location of target words within passages of text; (iii) the navigation of networks and menus; (iv) command generation using menus and command line interfaces; (v) the search and selection of icons and text labels; (vi) information retrieval. A measure of self-report workload was also included in several of these experiments. The main experimental findings included: (i) an interaction between spatial ability and the manipulation of semantic but not spatial interface content; (ii) verbal ability being only predictive of certain task components of word processing; (iii) age differences in word processing and information retrieval speed but not accuracy; (iv) evidence of compensatory strategies being employed by older subjects; (v) evidence of performance strategy differences which disadvantaged high spatial subjects in conditions of low spatial information content; (vi) interactive effects of associative memory, expertise and command strategy; (vii) an association between logical reasoning and word processing but not information retrieval; (viii) an interaction between expertise and cognitive demand; and (ix) a stronger association between cognitive ability and novice performance than expert performance.