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Self-Efficacy, Organizational Commitment, And Employee Performance - From Public Office

Author

Listed:
  • Siti Maria

    (Faculty of Economics and Business, Mulawarman University, Indonesia)

  • Digra Lestar

    (Faculty of Economics and Business, Mulawarman University, Indonesia)

  • Eny Rochaida

    (Faculty of Economics and Business, Mulawarman University, Indonesia)

  • Dio Caisar Darm

    (Department of Management, Sekolah Tinggi Ilmu Ekonomi Samarinda, Indonesia)

  • Heni Rahayu Rahmawati

    (Faculty of Economics and Business, Mulawarman University)

Abstract

Employee performance is important because it is the foundation and direction of every organization. In this paper, we attempt to investigate the effect of self-efficacy on organizational commitment and employee performance, then the effect of organizational commitment on employee performance. The objectivity of the study refers to 100 informant units obtained through a survey of employees in the Tourism and Culture Office of East Kalimantan Province, Indonesia. The sampling approach uses a saturated sample method with Structural Equation MedellingPartial Least Square (SEM-PLS). These findings indicate that self-efficacy has a significant effect on organizational commitment and employee performance. Similar to the previous results, organizational commitment has a significant effect on employee performance. With these findings, it can contribute to the role of a leader who must have optimal leadership characteristics, so that self-efficacy, organizational commitment, and employee performance continue to be optimal as expected.

Suggested Citation

  • Siti Maria & Digra Lestar & Eny Rochaida & Dio Caisar Darm & Heni Rahayu Rahmawati, 2021. "Self-Efficacy, Organizational Commitment, And Employee Performance - From Public Office," Cactus - The tourism journal for research, education, culture and soul, Bucharest University of Economic Studies, vol. 3(1), pages 6-15.
    • Handle: RePEc:bum:cactus:v:3:y:2021:i:1:p:6-15
    as

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    References listed on IDEAS

    as
    1. Purwadi & Dio Caisar Darma & Widya Febrianti & Dedy Mirwansyah, 2020. "Exploration of Leadership, Organizational Culture, Job Satisfaction, and Employee Performance," Technium Social Sciences Journal, Technium Science, vol. 6(1), pages 116-130, April.
    2. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    3. Muhammad Asif Qureshi & Jawaid Ahmed Qureshi & Jalil Ahmed Thebo & Ghulam Mustafa Shaikh & Noor Ahmed Brohi & Shahzad Qaiser, 2019. "The nexus of employee’s commitment, job satisfaction, and job performance: An analysis of FMCG industries of Pakistan," Cogent Business & Management, Taylor & Francis Journals, vol. 6(1), pages 1654189-165, January.
    4. Tri Cicik Wijayanti & Made Setini & Dio Caisar Darma & Purwadi Purwadi & Prisciella Rizky Alka, 2020. "Connectivity Continuous Improvement Program and Employee Performance," International Review of Management and Marketing, Econjournals, vol. 10(1), pages 54-62.
    5. Hengky Latan & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes de Sousa Jabbour, 2019. "‘Whistleblowing Triangle’: Framework and Empirical Evidence," Journal of Business Ethics, Springer, vol. 160(1), pages 189-204, November.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    HRM; Civil servants; Public office; Survey; SEM-PLS;
    All these keywords.

    JEL classification:

    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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