This thesis has investigated the positive and negative analogical transfer in which we proposed three hypotheses that shed more light on the process of human behaviour in problem solving. We have found that people exhibited both positive and negative analogical transfer in the conducted study. The positive and negative transfer depends on two factor process; search space and type of transformation. This predication was tested in an experiment with four conditions by using matchsticks arithmetic problems. Results have indicated the activation of positive transfer in the problems that share the same search space and type of transformation. On the other hand, negative transfer was activated when the problem search space and type of transformation were different. Results have also indicated, in several comparisons that were made, a simultaneous activation of both positive and negative transfer.

This thesis has investigated the positive and negative analogical transfer in which we proposed three hypotheses that shed more light on the process of human behaviour in problem solving. We have found that people exhibited both positive and negative analogical transfer in the conducted study. The positive and negative transfer depends on two factor process; search space and type of transformation. This predication was tested in an experiment with four conditions by using matchsticks arithmetic problems. Results have indicated the activation of positive transfer in the problems that share the same search space and type of transformation. On the other hand, negative transfer was activated when the problem search space and type of transformation were different. Results have also indicated, in several comparisons that were made, a simultaneous activation of both positive and negative transfer.

The WMC-gF relationship has been attributed to attentional control by some, and to a learning-based account by others. The current study explores inconsistencies in solving structurally-identical problems and how such factors may explain the WMC-gF relationship. Participants completed multiple versions of the same visual-analogies problems, with some problems sharing surface features and others looking vastly different, to test the ability to generalize a rule. In addition, subsequent iterations were shown either immediately after the first presentation, after two intervening items (second presentation), or after at least 10 intervening items (third presentation). Performance on second-presentation items supported both attention and learning-based accounts and performance on third-presentation items supported only a learning-based account. Furthermore, surface similarities interacted with third-presentation item accuracy and WMC, with a stronger relationship for dissimilar looking items. These findings suggest that the ability to learn and generalize rules throughout a task may largely contribute to the WMC-gF relationship.

Who provides better inputs to new product ideation tasks: problem solvers with expertise in the area for which new products are to be developed, or problem solvers from "analogous" markets that are distant but share an analogous problem or need? Conventional wisdom appears to suggest that target market expertise is indispensable, which is why most managers searching for new ideas tend to stay within their own market context even when they do search outside their firms' boundaries. However, in a unique symmetric experiment that isolates the effect of market origin, we find evidence for the opposite: Although solutions provided by problem solvers from analogous markets show lower potential for immediate use, they demonstrate substantially higher levels of novelty. Also compared to established novelty drivers, this effect appears highly relevant from a managerial perspective: we find that including problem solvers from analogous markets vs. the target market accounts for almost two thirds of the well-known effect of involving lead users instead of average problem solvers. This effect is further amplified when the analogous distance between the markets increases, i.e., when searching in far vs. near analogous markets. Finally, results indicate that the analogous market effect is particularly strong in the upper tail of the novelty distribution, which again underscores the effect's practical importance. All this suggests that it might pay to systematically search across firm-external sources of innovation that were formerly out of scope for most managers. (authors' abstract)

Although the independent roles of working memory capacity (WMC) and knowledge in problem solving have been thoroughly researched, there is significantly less work that has explored how WMC and knowledge interact during problem solving. The present study investigated how the quality of knowledge representations contribute to rule transfer in a problem-solving context and how WMC might contribute to the subsequent failure or success in transferring the relevant information. Participants were trained on individual figural analogies rules and then asked to rate how similar they thought the rules were to determine how stimulispecific or abstract their rule representations were. Their rule representation score, along with other measures (WMC and fluid intelligence measures) were used to predict accuracy on a set of test items, of which half included only the trained rules, and the other half were comprised of entirely new rules. Results indicated that the training did improve performance on the test items and that WMC largely explained the ability to transfer rules. Although the rule representations scores did not predict accuracy on the trained items, the results suggest that rule representations may be important for inductive reasoning or pattern recognition, rather than explaining transfer. Furthermore, rule representations uniquely explained performance on the figural analogies task, even after accounting for WMC and fluid intelligence. Altogether, these results indicate that WMC plays a large role in knowledge transfer, even when transferring to a more complex problem-solving context, and that rule representations may be important for novel problem solving.