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AbstractIn this paper, we try to explain the use of knowledge transfer mechanisms in franchising firms by applying the knowledge‐based view of the firm that integrates results from the information richness theory. Starting from the information richness theory we argue that the degree of tacitness of system‐specific knowledge determines the information richness of the knowledge transfer mechanisms of franchising firms. We examine the following hypotheses: (1) the franchisor uses more knowledge transfer mechanisms with a lower degree of information richness (such as email, intra‐ and internet), if the tacitness of system‐specific knowledge is low, and (2) the franchisor uses more knowledge transfer mechanisms with a higher degree of information richness (such as training, seminar, meetings, visits), if the tacitness of system‐specific knowledge is high. We test these hypotheses by using data from 83 franchising firms in the Austrian franchise sector. The data provide partial support for the hypotheses. Copyright © 2010 John Wiley & Sons, Ltd.

Phone use is likely to distract cyclists and possibly increase crash risk. Therefore, handheld phone use among cyclists is forbidden by law in some countries, even though cyclists use compensatory strategies to attempt to mitigate distractions and related effects. Both demographic, environmental, and psychological factors have been associated with cyclists' phone use. This study extends the existing literature by including traffic rule beliefs as an explanatory measure in predicting cyclists' handheld phone use and additionally explores how well cyclists know these rules in different legislative contexts. Online questionnaire responses were collected in 2019 among 1055 cyclists living in Denmark (N = 568), where handheld phone use for cyclists was forbidden, and in the Netherlands (N = 487), where it was legal. Responses on phone use, traffic rule knowledge, cycling behaviour, demographic, and psychological measures were used to identify factors contributing to the likelihood of handheld phone use in three regression models; one for all respondents and one for each country. In the combined model, believing there are no rules on handheld phone use increased the likelihood of handheld phone use while cycling. Other significant factors were subjective norm, perceived behavioural difficulty, self-identity as a safe cyclist as well as demographic factors. The country-specific models found that male gender was only associated with more handheld phone use in the Netherlands, while believing there was no ban was only connected to an increase in the likelihood of using handheld phone in Denmark. Correct traffic rule knowledge was almost three times higher in Denmark, where handheld phone use was forbidden. The results identify subjective norms, potential overconfidence, and traffic rule awareness (when there is a ban) as relevant factors in reducing the likelihood of cyclists' handheld phone use. Findings from country-specific models possibly point to a connection between culture and traffic rules. Future research should focus on underlying mechanisms and awareness of traffic rules.

Emphasis is on knowledge gained during political campaigns with the increase of the electorate's political attention. Campaigns offer voters a chance to make decisions about the public interest, with candidates voicing their positions on the pertinent issues. Explored here is the matter of how questions measuring citizens' knowledge of candidates' issue positions ought to be posed. Findings indicate that researchers can inquire about two candidates within one question rather than seeking separate answers for single candidates. Drawing on survey data from the 2000 US presidential election, two strategies for posing questions are evaluated: the separated format & the combined format. 2 Tables, 1 Figure, 8 References. K. Coddon

Abstract
The actual "information society" is also connected with a deluge of irrelevant communications. This situation produced new interdisciplinary topics in the sphere of science and research, mainly the area of data and knowledge reduction, the selection of relevant data and knowledge which forms an important part of the domain usually denoted as " knowledge management".

Repatriates are mostly an underestimated resource within a company. Repatriates could contribute to sustained competitive advantage of firms as a rare and imperfectly imitable resource, if firms would fully employ their knowledge. In extant literature, we find four major categories of expatriate knowledge: market specific knowledge, personal skills (Adler 2000, Antal 2000, Downes/Thomas, 1999, Kühlmann/Stahl 1995), job related management skills, and network skills (Antal 2000, Downes/Thomas 1999, Kühlmann/Stahl 1995). In an explorative qualitative case study in Austrian commercial banks, we collected data about the knowledge acquired by expatriates using narrative interview techniques. From the perspective of the interviewed repatriates, the existent categories could be confirmed and an additional category of importance was found that so far was not identified in the literature: the general management capacity of expatriates was substantially enhanced during their assignment abroad.

Abstract
Public hearings are frequently used on all levels of government to systematically collect and analyze information in the early stages of legislative policymaking. The methods currently employed measure knowledge utilization in this context by means of citation analysis of edited articles and/or reports that summarize the information shared at these meetings. By combining citation analysis and social network analysis, this article develops a methodology that can be used to capture citations in transcripts of public hearings that precede these reports. In order to demonstrate its strengths and weaknesses, the method is utilized to analyze the 2009 hearings that informed the 2010 House of Commons Transport Committee report on developing the capacity of major roads in the United Kingdom to meet the country's strategic transport needs. The research shows a good degree of consistency between two independent coders who employed this method to distinguish citations from non-citations and classify the data. It is concluded that the method can be utilized to reliably measure knowledge utilization at public hearings, and that it can be employed in conjunction with research that focuses on measuring citations in memos, briefings, articles or reports integrating some of the evidence given at these meetings.