IDEAS home Printed from https://ideas.repec.org/a/rsf/jgrcss/v2y2022i2p67-74.html

Organizational Practices of Income-Generating Projects: Basis for IGP Model Development

Author

Listed:
  • Fershie D. Yap

    (College of Accountancy and Business Administration, President Ramon Magsaysay State University)

Abstract

This research attempted to develop a proposed model for income-generating projects (IGPs) through their organizational practices to ensure their performance as expected. The study determined the level of performance of the IGPs operated; the status of organizational practices in terms of unit/organization structure, internal control, financial management, strategic planning, human resource management, and the marketing mix; the differences between means when grouped according to IGPs categories; and the predictor variables of IGP performance. The descriptive and causal design was assisted by the validated and reliability-tested researcher-made survey questionnaire. Data gathered from the 320 respondents participated by the IGP employees of the 13 State Universities and Colleges in Central Luzon were statistically interpreted using descriptive analysis, one-way analysis of variance, and multinomial logistic regression. The results show that in terms of individual IGPs, the non-agri-based projects are performing well compared with agri-based projects; however, both of them are not performing excellently. The IGPs were not practicing the organizational practices in their operation at all times but occasionally. The test of difference of the organizational practices between IGPs operated shows that formalization, risk assessment, information & communication system, financial reporting & analysis, vision and mission, business plan/planning, motivation, price, and promotion are statistically significant in operating agri-based IGPs; while all of the organizational practices are statistically significant in operating non-agri-based IGPs. Multinomial logistic regression indicated that there was a combination of organizational practices fit in operating agri-based and non-agri-based IGPs to achieve a low, average, and high performance.

Suggested Citation

Handle: RePEc:rsf:jgrcss:v:2:y:2022:i:2:p:67-74
DOI: 10.31098/jgrcs.v2i2.685
as

Download full text from publisher

File URL: https://journals.researchsynergypress.com/index.php/jgrcs/article/download/685/555
File Function: Full text
Download Restriction: no

File URL: https://libkey.io/10.31098/jgrcs.v2i2.685?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;
;

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:rsf:jgrcss:v:2:y:2022:i:2:p:67-74. 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.

We have no bibliographic references for this item. You can help adding them by using 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: Santi Rahmawati (email available below). General contact details of provider: https://journals.researchsynergypress.com/index.php/jgrcs .

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.