英文摘要
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In recent years, as enterprises compete in the smart development of Industry 4.0, they have also developed new types of business models and changed the structure of human resources. When human resources personnel face challenges from internal and external environments, their role gradually changed from the conventional administrative supporting role to that of an enterprise partner. Accordingly, the professional competencies of human resources must be further advanced. This study first adopted the modified Delphi method to obtain the consensus among 35 experts as well as analyzed five indicator dimensions-namely human capital curators, strategic positioners, honest actors, data operators, and technology innovators and integrators-and 25 indicator checkup items. Subsequently, the fuzzy analytic hierarchy process was utilized to obtain the relative weights among indicator to construct the indicator framework of the human resources professional competency model under Industry 4.0. Data analysis revealed that the relative weight of the dimensions, in descending order were human capital curators (0.332), strategic positioners (0.230), honest actors (0.180), data operators (0.142), and technology innovators and integrators (0.115); the indicator of each of them that accounted for the highest weight was "1.1 In light of the organizational development and innovation of Industry 4.0, talents must be redefined" (0.296), "2.1 To understand the changes in the internal and external environments under Industry 4.0" (0.312), "3.1 The ability to abide by the law to protect employees' personal data from being leaked by the system" (0.412), "4.5 Use data to generate values for the organization" (0.335), and "5.1 Establish a human resources management standards that suits the organization as the references for implementing intelligent human resources" (0.239), respectively. Finally, on the basis of the research results, this study proposed concrete and practical suggestions for improving human resources professional competencies and future research directions.
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参考文献
|
-
王明傑,呂國禎(2015)。應用模糊層級分析法探討自來水事業經營策略與經費配置之適配。管理實務與理論研究,9(2),20-42。
連結:
-
林正敏(2018)。CDIOT物聯網工程教育模式可行性分析。大學教學實務與研究學刊,2(1),25-52。
連結:
-
林湘霖,王貞淑(2015)。結合模糊層級分析法與關聯法則建構數位學習系統活動流程評估準則。管理與系統,22(1),125-147。
連結:
-
紀乃文,張火燦(2006)。人力資源主管角色、人力資源部門績效指標與組織績效關係之研究。人力資源管理學報,6(3),71-93。
連結:
-
張美燕,貝家寶,余姵歆(2017)。人力資源專業職能與人力資源管理及策略性人力資源管理關係之研究:以臺灣造紙業為例。臺灣企業績效學刊,11(1),23-44。
連結:
-
張美燕,貝家寶,余姵歆(2017)。人力資源專業職能與人力資源管理及策略性人力資源管理關係之研究:以臺灣造紙業為例。臺灣企業績效學刊,11(1),23-44。
連結:
-
戚玉樑(2019)。語意網技術在工業4.0的角色與應用。機械工業雜誌,437,75-84。
連結:
-
郭楚其,徐作聖(2018)。工業4.0」下製造業之轉型政策。管理評論,37(3),1-13。
連結:
-
郭楚其,徐作聖(2018)。工業4.0」下製造業之轉型政策。管理評論,37(3),1-13。
連結:
-
陳佩鈴(2019)。從人力資源業務夥伴展現人力資源價值的最佳實踐—以某外商集團公司實務為例。科技與人力教育季刊,6(1),28-40。
連結:
-
陳殷哲,李彩琴(2019)。應用模糊層級法分析人力資源職能模型指標與發展訓練課程體系之研究。企業管理學報,44(2),87-111。
連結:
-
曾淑穎,黃生(2017)。運用大數據分析員工個人背景對教育訓練之影響—以旅館業為例。育達科大學報,45,33-49。
連結:
-
葉晉嘉,翁興利,吳濟華(2007)。德菲法與模糊德菲法之比較研究。調查研究—方法與應用,21,31-58。
連結:
-
Bonvillian, W. B.(2013).Advanced manufacturing policies and paradigms for innovation.Science,342(6163),1173-1175.
-
Dalkey, N. C.(1969).,Santa Monica, CA:Rand Corporation.
-
Faherty, V.(1979).Continuing social work education: results of a delphi survey.Journal of Education for Social Work,15(1),12-19.
-
Gehrke, L., Kühn, A. T.,Rule, D.,Moore, P.,Siemes, S.(2015).Industry 4.0: a discussion of qualifications and skills in the factory of the future: a German and American perspective.Verein Deutscher Ingenieure e.V. and American Society of Mechanical Engineers,Düsseldorf, Germany:
-
Holden, M. C.,Wedman, J. F.(1993).Future issues of computer-mediated communication: the results of a Delphi study.Educational Technology Research and Development,41(4),5-24.
-
Mayo, E. J.,Jarvis, L. P.(1981).The Psychology of Leisure Travel: Effective Marketing and Selling of Travel Services.Boston, MA:CBI.
-
Murry, J. W., Jr.,Hammons, J. O.(1995).Delphi: a versatile methodology for conducting qualitative research.The Review of Higher Education,18(4),423-436.
-
Parry, S. B.(1996).The quest for competencies.Training,33(7),48-54+56.
-
Pikas, B.,Zhang, X.,Peek, W. A.,Lee, T.(2016).The transformation and upgrading of the Chinese manufacturing industry: based on “German industry 4.0.Journal of Applied Business and Economics,18(5),97-105.
-
Rowe, G.,Wright, G.,Bolger, F.(1991).Delphi: a reevaluation of research and theory.Technological Forecasting and Social Change,39(3),235-251.
-
Saaty, T. L.(1980).The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation.New York, NY:McGraw-Hill.
-
Saaty, T. L.(1971).On polynomials and crossing numbers of complete graphs.Journal of Combinatorial Theory, Series A,10(2),183-184.
-
Ślusarczyk, B.(2018).Industry 4.0—are we ready?.Polish Journal of Management Studies,17(1),232-248.
-
Ulrich, D(2016).16HR at a crossroads.Asia Pacific Journal of Human Resources,54(2),148-164.
-
Ulrich, D.(1987).Organizational capability as a competitive advantage: human resource professionals as strategic partners.Human Resource Planning,10(4),169-184.
-
Ulrich, D.,Brockbank, W.,Yeung, A. K.,Lake, D. G.(1995).Human resource competencies: an empirical assessment.Human Resource Management,34(4),473-495.
-
Ulrich, D.,Younger, J.,Brockbank, W.,Ulrich, M.(2012).HR from the Outside in: Six Competencies for the Future of Human Resources.New York, NY:McGraw-Hill.
-
Ulrich, M., Kryscynski, D., Ulrich, D., Brockbank, W. and Slade, J., (accessed February, 2020), 2015, 2016 HR competency model, .
-
van Laarhoven, P. J. M.,Pedrycz, W.(1983).A fuzzy extension of Saaty’s priority theory.Fuzzy Sets and Systems,11(1-3),229-241.
-
中山淳史,(accessed February, 2020),2015,日本追趕德國工業4.0,。
-
王聖閔(2019)。數位時代下之人力資源發展與包容性成長。臺灣經濟研究月刊,42(5),41-47。
-
行政院,(accessed December, 2019),2015,行政院生產力4.0發展方案:民國105年至民國113年,。
-
林弘洲(2017)。實現工業4.0之創新商業模式的進程與關鍵布局。電工通訊季刊,2017(3),73-83。
-
林蒧均(2015)。淺談工業4.0浪潮下的國際製造業政策。經濟前瞻,162,65-72。
-
林顯明(2016)。兩岸新世代生產模式的發展和挑戰:臺灣生產力4.0與中國製造202。新社會政策,43,65-73。
-
范維恩(2013)。桃園,國立中央大學。
-
莊朝榮(2015)。中國製造2025規劃前瞻。臺灣經濟研究月刊,38(2),94-99。
-
陳宇威(2016)。生產力4.0趨勢—「智慧機器人產業」對職業訓練發展與挑戰。就業安全,15(1),66-70。
-
楊千慧,黃美婷(2015)。運用修正式德菲法及層級分析法探討團購行為之關鍵因素。中華管理評論,18(1),1-29。
-
楊和炳(2019).市場調查.臺北:五南.
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