完整後設資料紀錄
DC 欄位語言
dc.contributor.authorSu, Chao-Tonen_US
dc.contributor.authorYang, Tsung-Mingen_US
dc.date.accessioned2015-07-21T08:29:14Z-
dc.date.available2015-07-21T08:29:14Z-
dc.date.issued2015-02-01en_US
dc.identifier.issn1478-3363en_US
dc.identifier.urihttp://dx.doi.org/10.1080/14783363.2012.756743en_US
dc.identifier.urihttp://hdl.handle.net/11536/124173-
dc.description.abstractThe Hoshin Kanri (HK) planning process is widely used in Japanese and Western companies for strategy planning and performance measurement in the manufacturing sector. Human resource management (HRM) plays an important role in business operations; HRM practices have a significant positive effect on implementing total quality management and on employee and customer satisfaction. However, HRM has always been considered reactive, uncoordinated, and unprofessional, delivering poor, slow, and ineffective services. This study presents the envision, identify, diagnose, prioritise, execute, and review (EIDPER) model, an extension of HK. EIDPER translates strategies into achievable actions to fulfil organisational objectives. We introduce a case study to illustrate applying EIDPER to the recruitment process of the HRM department in a high-tech manufacturing firm. The approach was successfully applied in the HRM department of the case company and effectively reduced hiring costs by US$360,000 in 5 years and improved recruitment cycle time by 40%. Managerial implications are also discussed at the end of the study.en_US
dc.language.isoen_USen_US
dc.subjecthuman resource managementen_US
dc.subjectHoshin Kanrien_US
dc.subjectrecruitmenten_US
dc.titleHoshin Kanri planning process in human resource management: recruitment in a high-tech firmen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/14783363.2012.756743en_US
dc.identifier.journalTOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCEen_US
dc.citation.volume26en_US
dc.citation.issue1-2en_US
dc.citation.spage140en_US
dc.citation.epage156en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000346262600011en_US
dc.citation.woscount0en_US
顯示於類別:期刊論文