IDEAS home Printed from https://ideas.repec.org/a/eco/journ3/2019-01-12.html
   My bibliography  Save this article

Job Satisfaction and Employee Performance Shoes Industry in Tangerang Regency Banten Province

Author

Listed:
  • Juanda Usman

    (Sekolah Tinggi Ilmu Ekonomi PPI Tangerang, Indonesia,)

  • Dede Nuary Sukmayuda

    (Sekolah Tinggi Ilmu Ekonomi PPI Tangerang, Indonesia,)

  • Sri Kurniawati

    (Faculty of Economic and Bussines, Universitas Persada Indonesia Y.A.I. Jakarta Indonesia.)

Abstract

The background of this research is how to improve employee performance shoes industry in Tangerang Regency, Banten Province. The purpose of this study is to identify and analyze influence both partial and simultaneously leadership, work compensation, work environment and job satisfaction toward employee performance Shoes Industry in Tangerang Regency, Banten Province.The research method used descriptive, verificative, causality to test the hypothesis. This study was conducted through a survey of 200 respondents from a population of 413 permanent employee in three shoes factories in Tangerang Regency, Banten Province. Instrument tests were also conducted on 30 respondents prior to field research. The research analysis used descriptive and explanatory statistic method. Data were analyzed with Structural Equation Model (SEM) using LISREL 8.7 software. The results of this study, processed by using 2nd CFA (Second Order Confirmatory Factor Analysis). This research proves that there are positive and significant influence of leadership, work compensation and work environment to job satisfaction either partially or simultaneously with coefficient of determination (R2) equal to 60%. Furthermore, this study proves that the variables of leadership, work compensation, work environment and job satisfaction influence employee performance with contribution of 85% with the most dominant variable influencing job satisfaction is work compensation. While the most dominant variables influencing employee performance is work environment. The findings of this study explain that job satisfaction variables mediate the three variables of leadership, work compensation and work environment on employee performance, so that job satisfaction variable as mediating variable, but the dominant variable influencing employee performance is work environment, especially physical environment dimension with work facility as indicator. Meanwhile, to increase job satisfaction need to pay attention to work compensation, especially in financial compensation, especially insurance.

Suggested Citation

  • Juanda Usman & Dede Nuary Sukmayuda & Sri Kurniawati, 2019. "Job Satisfaction and Employee Performance Shoes Industry in Tangerang Regency Banten Province," International Review of Management and Marketing, Econjournals, vol. 9(1), pages 98-103.
    • Handle: RePEc:eco:journ3:2019-01-12
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/irmm/article/download/7447/pdf
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/irmm/article/view/7447/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stephen A. Hillegeist & James P. Kavourakis & Matthew Pinnuck, 2023. "The association between quarter length, forecast errors, and firms’ voluntary disclosures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 1885-1918, June.
    2. Florian Meier, 2020. "The Age of Cheap Money and Passive Investing: Are Pro Forma Earnings Value Relevant?," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 9(2), pages 1-1.
    3. Pinto, Inês & Morais, Ana Isabel & Quick, Reiner, 2020. "The impact of the precision of accounting standards on the expanded auditor’s report in the European Union," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 40(C).
    4. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    5. Mei Luo & Shuai Shao & Frank Zhang, 2018. "Does financial reporting above or below operating income matter to firms and investors? The case of investment income in China," Review of Accounting Studies, Springer, vol. 23(4), pages 1754-1790, December.
    6. Bertrand, Jérémie & Burietz, Aurore, 2023. "(Loan) price and (loan officer) prejudice," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 26-42.
    7. Umar, Tarik, 2022. "Complexity aversion when SeekingAlpha," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    8. Po-Hsuan Hsu & Dongmei Li & Qin Li & Siew Hong Teoh & Kevin Tseng, 2022. "Valuation of New Trademarks," Management Science, INFORMS, vol. 68(1), pages 257-279, January.
    9. Wang, Weimin & (Frank) Wang, Xu, 2014. "Predicting earnings in a poor information environment," Journal of Contemporary Accounting and Economics, Elsevier, vol. 10(1), pages 46-58.
    10. Narongdech Thakerngkiat & Hung T. Nguyen & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2021. "Do accounting information and market environment matter for cross‐asset predictability?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4389-4434, September.
    11. Zhu, Hui, 2014. "Implications of limited investor attention to customer–supplier information transfers," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(3), pages 405-416.
    12. Ole-Kristian Hope & Danqi Hu & Hai Lu, 2016. "The benefits of specific risk-factor disclosures," Review of Accounting Studies, Springer, vol. 21(4), pages 1005-1045, December.
    13. Samuel B. Bonsall & Brian P. Miller, 2017. "The impact of narrative disclosure readability on bond ratings and the cost of debt," Review of Accounting Studies, Springer, vol. 22(2), pages 608-643, June.
    14. Barinov, Alexander & Park, Shawn Saeyeul & Yildizhan, Celim, 2016. "Firm Complexity and Post-Earnings-Announcement Drift," MPRA Paper 91421, University Library of Munich, Germany, revised 14 Dec 2018.
    15. Jannis Bischof & Ulf Brüggemann & Holger Daske, 2012. "Fair Value Reclassifications of Financial Assets during the Financial Crisis," SFB 649 Discussion Papers SFB649DP2012-010, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    16. Kim, Jongkyum & Lim, Jee-Hae & Yoon, Kyunghee, 2022. "How do the content, format, and tone of Twitter-based corporate disclosure vary depending on earnings performance?," International Journal of Accounting Information Systems, Elsevier, vol. 47(C).
    17. Lin, Mei-Chen & Wu, Chu-Hua & Chiang, Ming-Ti, 2014. "Investor attention and information diffusion from analyst coverage," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 235-246.
    18. Mehmet Asutay & Primandanu Febriyan Aziz & Banjaran S. Indrastomo & Yusuf Karbhari, 2023. "Religiosity and Charitable Giving on Investors’ Trading Behaviour in the Indonesian Islamic Stock Market: Islamic vs Market Logic," Journal of Business Ethics, Springer, vol. 188(2), pages 327-348, November.
    19. Abeysekera, Indra, 2016. "Does the classification of intangibles matter? An equivalence testing," Advances in accounting, Elsevier, vol. 35(C), pages 135-142.
    20. Claudia Arena & Simona Catuogno & Nicola Moscariello, 2021. "The unusual debate on non-GAAP reporting in the current standard practice. The lens of corporate governance," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(3), pages 655-684, September.

    More about this item

    Keywords

    Leadership; Work Compensation; Work Environment; Job Satisfaction; Employee Performance;
    All these keywords.

    JEL classification:

    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • N75 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Asia including Middle East

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ3:2019-01-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.