An expanded model of the factors affecting the acceptance and effectiveness of electronic human resource management systems

被引:42
|
作者
Stone, Dianna L. [1 ]
Lukaszewski, Kimberly M. [2 ]
机构
[1] Univ Texas San Antonio, Dept Management, Coll Business, San Antonio, TX 78249 USA
[2] SUNY New Platz, Sch Business, New Paltz, NY 12561 USA
关键词
Electronic human resource systems; Communication; Personalization; ELABORATION LIKELIHOOD MODEL; MEDIA RICHNESS; WEB; RECRUITMENT; COMMUNICATION; PERSONALIZATION; TECHNOLOGIES; FEEDBACK; INTERNET; CONTEXT;
D O I
10.1016/j.hrmr.2008.11.003
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Despite the widespread use of eHR systems, surveys show that there may be a number of problems associated with their design and implementation [CedarCrestone (2007). CedarCrestone 20072008 HR systems survey: HR technologies, service delivery approaches, and metrics. Available at www.cedarcrestone.com/research.php. Retrieved July, 2008]. In an effort to overcome these problems we expanded the model of eHR acceptance and effectiveness developed by Stone. Stone-Romero, & Lukaszewski [Stone, D. L. Stone-Romero, E. F., & Lukaszewski, K. (2006). Factors affecting the acceptance and effectiveness of electronic human resource systems. Human Resources Management Review, 16, 229-244]. The expanded model provides a more detailed discussion of the communication processes underlying these systems including the effects of media and message characteristics. In addition, we offer a number of testable hypotheses based on the model that can be used to guide future research on eHR systems. (C) 2008 Elsevier Inc. All rights reserved.
引用
下载
收藏
页码:134 / 143
页数:10
相关论文
共 50 条
  • [1] Factors affecting the effectiveness and acceptance of electronic selection systems
    Stone, Dianna L.
    Lukaszewski, Kimberly M.
    Stone-Romero, Eugene F.
    Johnson, Teresa L.
    HUMAN RESOURCE MANAGEMENT REVIEW, 2013, 23 (01) : 50 - 70
  • [2] Human resource factors affecting enterprise resource planning acceptance
    Mthupha, Thobile P.
    Bruhns, Estelle
    SA JOURNAL OF HUMAN RESOURCE MANAGEMENT, 2022, 20
  • [3] Antecedents of User Acceptance of Electronic Human Resource Management Systems (e-HRM) at SEAT
    Vazquez, Marcial
    Sunyer, Albert
    INTERNATIONAL JOURNAL OF HUMAN CAPITAL AND INFORMATION TECHNOLOGY PROFESSIONALS, 2021, 12 (04) : 65 - 84
  • [4] Factors of Human Resource Management Practices Affecting Organizational Performance
    Zainon, Saunah
    Ismail, Rina Fadhilah
    Ahmad, Raja Adzrin Raja
    Shafi, Roslina Mohamad
    Misman, Faridah Najuna
    Nawi, Sofwah Md
    Kadir, Juliana Mohamed Abdul
    INTERNATIONAL JOURNAL OF ORGANIZATIONAL LEADERSHIP, 2020, 9 (04) : 184 - 197
  • [5] Factors Affecting Acceptance of Smartphone Application for Management of Obesity
    Jeon, Eunjoo
    Park, Hyeoun-Ae
    HEALTHCARE INFORMATICS RESEARCH, 2015, 21 (02) : 74 - 82
  • [6] MANAGEMENT EVALUATION STUDIES - FACTORS AFFECTING THE ACCEPTANCE OF RECOMMENDATIONS
    OMAN, RC
    CHITWOOD, SR
    EVALUATION REVIEW, 1984, 8 (03) : 283 - 305
  • [7] Study of human resource management model in electronic commerce environment
    Guo Chunyan
    HUMAN RESOURCES MANAGEMENT IN THE KNOWLEDGE ECONOMY ERA, 2008, : 1 - 5
  • [8] Toward an Integrated Model for Examining the Factors Affecting the Acceptance of Queue Management Solutions in Healthcare
    AlQudah, Adi Ahmad
    Al-Emran, Mostafa
    Daim, Tugrul U. U.
    Shaalan, Khaled
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2022, 71 : 6116 - 6132
  • [9] Adopting Factors of Electronic Human Resource Management: Evidence from Bangladesh
    Masum, Abdul Kadar Muhammad
    Alam, Md. Golam Rabiul
    Alam, Mohammed Shamsul
    Azad, Md. Abul Kalam
    2016 INTERNATIONAL CONFERENCE ON INNOVATIONS IN SCIENCE, ENGINEERING AND TECHNOLOGY (ICISET 2016), 2016,
  • [10] The impact of cost, technology acceptance and employees' satisfaction on the effectiveness of the electronic customer relationship management systems
    Navimipour, Nima Jafari
    Soltani, Zeynab
    COMPUTERS IN HUMAN BEHAVIOR, 2016, 55 : 1052 - 1066