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Managerial practices and perceptions in the implementation ofjust‐in‐time (JIT) principles and concepts are significantly differentin the United Kingdom compared to the…
Managerial practices and perceptions in the implementation of just‐in‐time (JIT) principles and concepts are significantly different in the United Kingdom compared to the United States. In a study of 99 companies located throughout both countries, several distinct differences between the US and the UK were found. US companies tend to provide a greater range of training and education for their employees than do UK companies. Incentives for employees are more prevalent in the US than the UK. The UK lags behind the US in taking JIT to the shopfloor. Respondents in both countries indicated comparable dissatisfaction with the implementation process. Problems in implementation included: lack of top management commitment and support, poor communication, lack of cross‐functional planning teams, data accuracy, and supplier participation. In conclusion, JIT tends to be viewed more often as a technique by UK managers whereas their US counterparts practise JIT from a philosophical perspective.
The location‐allocation problem involves multiple shipping destinations, with known demands for a given product and known transportation costs from sources to…
The location‐allocation problem involves multiple shipping destinations, with known demands for a given product and known transportation costs from sources to destinations. The problem is to determine the number of facilities and their locations in order to best service the shipping destinations. This paper presents an approach to facility location which allows the analysis of multiple conflicting goals as an extension of previous solution approaches. Specifically, the paper applies the branch and bound integer goal programming approach to the location‐allocation problem.
The purpose of this paper is to identify the success factors of open‐source software in the enterprise level. It expands the application of the information systems (IS…
The purpose of this paper is to identify the success factors of open‐source software in the enterprise level. It expands the application of the information systems (IS) success model in the literature to enterprise information systems (EIS). The paper presents a simplified open‐source EIS success model by removing several constructs in the existing open‐source software models.
To test the research model, a survey questionnaire was developed based on previous studies dealing with IS success models and adapting them to the open‐source EIS context. The research instrument contained 30 items that represent seven constructs in the research model. Data were collected from 250 open‐source enterprise software end‐users. Due to its confirmatory nature, this study applied the structural equation model.
The results of the study indicate that only community service quality has a positive direct effect on open‐source EIS use, while information quality, EIS quality, and user satisfaction do not. Open‐source EIS quality has a direct positive effect on user satisfaction, which in turn has a positive effect on individual net benefits, which also positively affects organizational net benefits.
This study focused on the open‐source EIS users' perspective. Future studies could expand the scope by covering a broader open‐source EIS aspect such as motivation of its use, development processes, social dynamics in the development group, diffusion process, and the like. A longitudinal study could provide a more concrete trend of open‐source EIS use by organizations. The small sample size of this study is also a limitation.
The present research provides a practical evidence of relationships in the open‐source EIS application model. The developers in on‐line open‐source communities need to take the success factors identified in this study into account when developing open‐source EIS.
There is a paucity of empirical studies in open‐source EIS applications. The paper expends the traditional IS success model to the open‐source EIS context by collecting and analyzing data from 150 real‐world open‐source EIS users.