2019
DOI: 10.1177/0020720918815998
|View full text |Cite
|
Sign up to set email alerts
|

Working conditions and effective supervision: Does it matter for engineering faculty job satisfaction

Abstract: The purpose of this study is to examine the impact of supervisor support and working conditions on job satisfaction among teaching faculty in private engineering colleges. The study on job satisfaction has greater importance with the passage of time because of its nature and impact on the faculty and society. The researcher administered a standardized questionnaire on 180 individual respondents to collect the data. Respondents filled the items manually with their characteristics: age, gender, qualification, wo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 20 publications
0
4
0
Order By: Relevance
“…1-5 scores range from "Strong opposition" to "very consent" / "not at all" to "very willing". 20 In February 2019, a preliminary survey was conducted, 240 initial questionnaires were distributed and 203 valid questionnaires were collected, with an effective rate of 84.58%. Then, SPSS 24.0 was used for exploratory factor analysis, principal component analysis was used to extract factors, and maximum variance method was used for orthogonal rotation to extract factors with eigenvalue greater than 1, and measurement items with factor loading less than 0.5 were deleted.…”
Section: Questionnaire Designmentioning
confidence: 99%
“…1-5 scores range from "Strong opposition" to "very consent" / "not at all" to "very willing". 20 In February 2019, a preliminary survey was conducted, 240 initial questionnaires were distributed and 203 valid questionnaires were collected, with an effective rate of 84.58%. Then, SPSS 24.0 was used for exploratory factor analysis, principal component analysis was used to extract factors, and maximum variance method was used for orthogonal rotation to extract factors with eigenvalue greater than 1, and measurement items with factor loading less than 0.5 were deleted.…”
Section: Questionnaire Designmentioning
confidence: 99%
“…Very low levels of satisfaction in the absence of close supervision fearing that this may hamper patient care quality and increase errors. Recent studies confirm the causality between supervision and job satisfaction (Kakada and Deshpande, 2019;Guevara et al, 2019;Singhapakdi et al, 2015).…”
Section: Discussion and Theoretical Implicationsmentioning
confidence: 84%
“…An internal environment plays a vital role in the satisfaction of the employees. Therefore, when the job description is defined appropriately, the task is easy to achieve in the guidance of executives employees' and performance increases (Kakada & Deshpande, 2019). Therefore, hypothesis 5 noted with positive beta value 0.682, t-value 15.830, and p-value 0.000.…”
Section: Discussionmentioning
confidence: 94%