The Role,Use and Activation of Strong and Weak Network Ties: A Qualitative Analysis*

abstract A characteristic of studies seeking to explain the structure and operation of networks is the use of Granovetter's strong and weak tie hypothesis. Whilst this hypothesis has become an established paradigm, questions and disagreements arise over its applicability at demonstrating the real use and value of each tie. This study extends the work of Granovetter. Using a qualitative ethnographic approach to explore in‐depth the networking activities of fourteen respondents, it aims to enhance understanding about the role of ties, how they are used and activated for business activity. Findings demonstrate that it is strong ties that are instrumental for business activity and used extensively to provide knowledge and information but also to maintain, extend and enhance business and personal reputations. Unless activities require their reactivation and manifestation, strong ties remain latent and dormant within the network. Strong ties also provide the mechanism to invoke ‘weak’ ties, represented by nodes operating in a wider social context.     

The impact of market conditions on the organizational structure and effectiveness of firms operating in Italy

In the past decade, several organization theorists have begun to examine the organization—environmental interface in the functioning of complex organizations and have argued that an organization's internal structural arrangement is contingent upon the demands of the external environment. The purpose of this article is to further examine the validity of the findings of these theorists with reference to firms operating in Italy. The variables studied consisted of: a) Market conditions—which was divided into the two categories of high and low competition. b) Decentralization of decision-making, and c) Organization effectiveness. To investigate the impact of decentralization on the organization effectiveness of firms under differing market conditions the statistical techniques of a Mann-Whitney U Test and Kendall's Tau Measure of Correlation were used to compute the scores. The resulting computations provide some support for the contingency theory of organization, but also indicates areas of disagreement.     

Portfolio analysis of asset and liability management in small-, medium- and large-sized banks

The paper presents an analysis of the commercial banking firm based on Markowitz portfolio analysis. A bank is treated as a portfolio of five banking assets and three banking liabilities. The average rate of return and risk of each asset and liability is estimated empirically for groups of banks categorized by size — small, medium and large. Banks' rates return on equity are defined as the weighted average of the assets' rates of return less the liabilities' rates of return. Quadratic programming is used to delineate the set of banking portfolios which have the maximum rate of return on equity at each level of risk.     

Presenting hypothesis testing by analogy

Auditing students often have difficulty with hypothesis testing. In this article, a concise approach for presenting hypothesis testing is discussed. Specifically, the author shows that the construction of an hypothesis test for the mean per-unit estimator is analogous to the formulation of such a test for auxiliary estimators. Because these tests are comparable, the approach encompasses a logical progression from the mean per-unit estimator to the auxiliary estimators. This approach enables students to perceive the similarities among these estimators and to better understand and assimilate the subject matter.     

The crazy economics of air freight

Measured by value of goods transported, about one third of all international trade today is moved by air. Severe cyclical fluctuations around the generally strong growth trend of the last decade have meant considerable problems for air freight companies, however. How have they attempted to deal with these problems? How would they be advised to behave in future?     

Beneficial changes in random variables under multiple sources of risk and their comparative statics

The consequences of a change in a random parameter are determined for a decision model with more than one source of randomness. The two cases of independent and stochastically dependent sources of risk are discussed. Four comparative static theorems are given. These state the effect of first degree stochastically dominant shifts or risk decreases for one random variable while the other random variable is held fixed. Deterministic transformations are used to represent random parameter changes. The results are presented in the context of the coinsurance demand model with a risky insurable asset and background risk.