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Management Information Systems Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Management Information Systems
Strategies For Manufacturing In Southern China, Hilda M.S Lai, Domenic Sculli
Strategies For Manufacturing In Southern China, Hilda M.S Lai, Domenic Sculli
Journal of International Technology and Information Management
This paper investigates the structure of industrial and business network strategies in the global manufacturing environment based on empirical data from 87 manufacturing firms in the Pearl River Delta of Southern China. Relevant data was collected using a questionnaire approach and analyzed using appropriate statistical techniques. Hierarchical cluster analysis was employed to devise taxonomy for industrial network strategies. Three distinct clusters were identified: Network Integrators, Network Learners and Network Conformists. Results indicate that the former two clusters, though differing in the extent of scale, adopt a holistic approach in developing both intra- and inter-firm strategies and that the third cluster …
The Moderating Effects Of Technology On Career Success: Can Social Networks Shatter The Glass Ceiling?, Paul Fadil, Cindi Smatt, Sharon L. Segrest, Crystal Owen
The Moderating Effects Of Technology On Career Success: Can Social Networks Shatter The Glass Ceiling?, Paul Fadil, Cindi Smatt, Sharon L. Segrest, Crystal Owen
Journal of International Technology and Information Management
This paper reviews the demographic predictors of career success and proposes that technology plays a critical role in alleviating career success barriers for various demographic groups who have historically encountered barriers. Specifically we propose that technology can act as a moderator allowing minority groups greater participation and acceptance in networks. And, ultimately the greater participation and acceptance in networks will lead to greater career success for groups who have typically encountered “glass ceilings” based on demographic variables such as gender, age, race and ethnicity.
Inference-Guiding On Bayesian Knowledge-Based Systems, Jinchang Wang
Inference-Guiding On Bayesian Knowledge-Based Systems, Jinchang Wang
Journal of International Technology and Information Management
Bayesian network is a robust structure for representing knowledge containing uncertainties in a knowledge-based system. In applications of expert systems and knowledge-based systems, it often happens that initial data are not sufficient to derive a conclusion of high enough certainty. Inference-guiding is in that case to identify the missing information, pursue its value, and lead inference to a conclusion. This paper presents and characterizes a criterion for effectively selecting key missing information, and thereby develops a “smart” inference approach with the inference-guiding function based on the newly developed criterion for uncertain inference in a Bayesian knowledge-based system.