Employees' data mining readiness in the telecommunications industry-an exploratory study
dc.contributor.author | Lai Mei, Looi | |
dc.date.accessioned | 2015-08-25T07:35:16Z | |
dc.date.available | 2015-08-25T07:35:16Z | |
dc.date.issued | 2002-05 | |
dc.description.abstract | The challenge that faces most telecommunication organizations is that the volume of data that can potentially be collected are so huge and the range of customer behavior is so diverse that seems impossible to rationalize what is happening. Information extracted through data mining allows the organization to predict the future trends and behaviors of its customers. In return, it enables the organization to make strategic and informed decisions. Data Mining Readiness Index of the employees in the telecommunication industry was adapted from Parasuraman (2000)' s Technology Readiness Index. The Data Mining Readiness score ipdicated readiness of the employees to embrace data mining and with high levels of optimism and innovativeness. A total of 115 respondents were received coming from the five telecommunication organizations presently operating in Malaysia. The findings also noted that Clarity of the Business Strategy is the most significant factor that affects Data Mining Readiness. The implications of the findings and the limitations of this study were discussed for researchers and future practitioners | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/1116 | |
dc.language.iso | en | en_US |
dc.subject | Data mining readiness | en_US |
dc.subject | Telecommunications industry-an exploratory study | en_US |
dc.title | Employees' data mining readiness in the telecommunications industry-an exploratory study | en_US |
dc.type | Thesis | en_US |
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