For nearly all companies, an Internet presence is no longer an issue, but rather a question of how the Web site can be used to add value to the company's business. What applies to one company in a certain sector in one country, however, does not necessarily apply to a comparable company in the same sector in another country. National characteristics play a key role in determining human interaction of all forms—also including electronic communication. This paper takes an exploratory approach and analyzes three matched pairs of U.S. and German Web sites of companies drawn from commercial airlines, traditional mail-order companies, and package delivery services. As a result, national culture, telecommunication infrastructure, and market characteristics are identified as key drivers influencing the structure and functionality of corporate Web sites.
Electronic commerce, cultural differences, Web site evaluation, comparative study
McKnight, D. Harrison.
Kacmar, Charles J.
This study examines whether some types of dispositional trust/distrust concepts are better than other types at inducing consumers to trust a Web advice provider. We propose and test a model in which dispositional trust and distrust concepts are given separate roles. This unique approach is based on the growing, but untested theoretical consensus that trust and distrust are separate concepts that co-exist yet differ in terms of their emotional makeup. While trust concepts tend to be calm and collected, distrust concepts embody significant levels of fear and insecurity. Based on this difference, we propose that dispositional distrust concepts will be better predictors of high-risk Internet legal advice site perceptions, while the corresponding trust concepts will be better predictors of low-risk Internet legal advice site perceptions. As proposed, the study finds that dispositional trust better predicts low-risk perceptions, while dispositional distrust better predicts high-risk perceptions. For e-commerce advice site research, the findings of
this article suggest that perhaps scholars should not only study dispositional trust but also dispositional distrust.
Trust, distrust, disposition, risk, Internet perceptions
Internet in public administration -- United States.
Local government -- United States.
This article empirically examines the current stages of development of e-government adoption in U.S. local governments; a two-stage model of e-government growth is applied. Stage I is the cataloging of information online and Stage II the completion of transactions online. This article empirically derives and tests indices of the development of local governments in these stages along with the e-government relationships being either Government to Citizen (G2C), Government to Business (G2B), or Government to Government (G2G). This two-stage model is applied to data from an e-government survey. Some of the results indicate that local governments in Stage II (transaction phase) have the following attributes: a council-manager form of government, located in the Western U.S., having populations greater than 250,000, having separate IT departments, and benefit from e-government in, for example, reducing administrative costs. Barriers such as privacy and security limit e-government growth.
E-government, stages of development, government-to-government, government-to- business, government-to-citizen
User satisfaction with information provided by information services, such as a search of an online product category, can be improved by recommending potentially useful query alternatives in information retrieval. Naïve recommendation methods do not consider the association between keywords and the prior information retrieval preferences of users. Current improved methods utilize association analysis, a data mining technique, to augment query alternatives, but do not effectively handle continuously changing user query preferences. Improving the automated recommendation method to provide accurate associated query terms is very important. This study designs an incremental rule revision (IRR) mechanism based on a multi-agent architecture for dealing with incremental mining, rule integration, and rule conflict resolution. The IRR method predicts rule accuracy based on rule quality and strength by using back- propagation neural networks. The rule prediction error and rule conflict rate are constantly reduced by the IRR mechanism. Empirical test results demonstrate that the recommendation system using the IRR mechanism achieves better user information satisfaction than by using the query extraction method.
Neural networks, user information satisfaction, multi-agent system, association analysis, incremental rule revision