Shanlax International Journal of Management

Job Satisfaction of Government Engineering College Teachers in Tiruchirappalli District

N. Senthamil Selvamurugan — 2026-10-01

Job satisfaction is a pleasurable emotional state that results when a person’s job fulfils their dominant needs and is consistent with their personal expectations and values. The feeling is positive or negative depending on whether the need is satisfied. Job satisfaction is distinct from motivation and morale. Motivation refers to the willingness to work; satisfaction implies a positive emotional condition; morale implies a general attitude of a group towards work and the work environment; and job satisfaction is an individual feeling. Job satisfaction may be considered a dimension of morale, and morale can be a source of satisfaction. This study examines the job satisfaction of government engineering college teachers in the Tiruchirappalli district. Primary data were collected from a convenience sample of 50 teachers drawn from two government engineering colleges in the district using a structured questionnaire. Percentage analysis, chi-square test, t-test, and one-way ANOVA were used to analyze the data. The results show that 56 per cent of the respondents reported high job satisfaction and 44 per cent reported low job satisfaction. There was a statistically significant association between job satisfaction and the subject taught by the respondents (χ² = 16.601, df = 4, p = 0.002), but no significant association between job satisfaction and either the age (χ² = 1.231, df = 2, p = 0.540) or the educational qualification of the respondents. The findings indicate that demographic and occupational variables have a differential rather than a uniform influence on the job satisfaction of government engineering college teachers. The study concludes with suggestions for policymakers regarding salary structure, transfer policy, and work–family balance. Future research should extend the study to larger multi-district samples, use validated job satisfaction instruments with reported reliability coefficients, and adopt longitudinal or government-versus-self-financing comparative designs.

Organic Food Consumption in South India: Factors Influencing Customer Satisfaction in Tiruchirappalli District

Yamini Mohan — 2026-10-01

Increasing awareness of health, nutrition, and environmental factors has spearheaded the rapid growth of the global organic food market. However, in the Indian context, customer satisfaction determinants with respect to organic food products are not well known, especially at the sub-regional level. This study explores the significant determinants of customer satisfaction for consumers of organic foods in the Tiruchirappalli District, Tamil Nadu, which is a glaring gap in empirical data of the district in the context of the Indian organic food business. A convenience sample of 300 consumers of organic food in the retail outlets and weekly markets of Tiruchirappalli was used for the quantitative, cross-sectional survey design. Questionnaires using five-point Likert scales were used to measure perceptions of quality related to the product, price perception, trust in organic certification, availability of the products, and health consciousness. Descriptive statistics, Pearson correlation analysis, and multiple linear regression were used to analyze the data. The regression model explained 68.1% of the variance in customer satisfaction (R2=0.681,F=125.26, p <.001). The strongest predictors were product quality (β = 0.470, p < .001), trust in certification (β = 0.285, p < .001), health consciousness (β = 0.182, p < .001), and price perception (β = 0.106, p = .005) in that order. The availability of products was not significant. The results highlight the key role of quality assurance and reliable certification frameworks in boosting customer satisfaction in Tier-2 organic food markets. These findings have significant implications for retailers and policymakers who wish to develop sustainable consumption in emerging economies. The cross-sectional design and convenience sampling of existing organic buyers limit causal inferences and generalizability. Future research should employ longitudinal designs and probability sampling in multiple Tier-2 cities.

Microfinance, Cold-Storage Infrastructure, and Market Linkages as Determinants of Profitability in Perishable Agricultural Enterprises: Evidence from Karnataka, India

A. Roopashree — 2026-10-01

Small-scale perishable agriculture businesses in Karnataka, India, still lose a considerable amount of production because of post-harvest spoiling problems, lack of capacity to store products in cold storage, and market fragmentation. The aim of this study is to examine the correlation among the profitability performance of 450 agriculture entrepreneurs who produce products that are easily perishable to the following: access to microfinance, availability of cold storage infrastructure, quality of market linkages, entrepreneurial training, access to government subsidy, and risk-management. Out of five districts, namely Hassan, Mandya, Chickballapur, Kolar, and Ramanagara, the entrepreneurs were selected. The researcher used Pearson’s correlation, ordinary least squares multiple linear regression, one-way analysis of variance, and two-way analysis of variance and analyzed cross-sectional data obtained from primary surveys carried out from January to March 2026. The positive relation between all the six main variables and the profitability performance index is statistically justified at the significance level of p < 0.05. The whole model accounts for 73.1% of the variation in profitability performance (R² = 0.731, adjusted R² = 0.726, F(9, 440) = 133.19, p < 0.001). The interaction between the two factors is not significant, indicating that the variables have additive rather than synergistic effects on the data; the most powerful standardized predictor is quality of market-linkage (β = 0.469), followed by access to microfinance (β = 0.346) and infrastructure of cold-storage (β = 0.331). This study is subject to self-reporting and is cross-sectional; therefore, conclusions about relations and not causes or effects are made. Future research should apply quasi-experimental methods, such as difference-in-differences that leverage staggered introduction of microfinance and cold-chain services, adopt objective accounting variables, validate constructs at the item-level, and utilize panel designs to replicate such linkages and associations under stronger causal identification and in more Indian states.