Employees' Satisfaction towards Working Conditions in a Public Sector Organization: A Case Study of Chaudhary Devi Lal University, Sirsa

08 58 Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways Employees’ Satisfaction towards Working Conditions in a Public Sector Organization: A Case Study of Chaudhary Devi Lal University, Sirsa Diwakar1, Dr. Sachin Dev2 1Assistant Professor, Department of Management-I, Baba Farid College of Engineering & Technology, Bathinda. 2Associate Professor, Department of Business Studies, Baba Farid College of Engineering & Technology, Bathinda. Abstract Employee satisfaction plays a central role in determining organizational effectiveness, particularly in public sector organizations where employees’ commitment and morale shape service delivery. This case study explores the satisfaction levels of employees working in Chaudhary Devi Lal University (CDLU), Sirsa, Haryana, India. Using a descriptive design and survey method, responses were collected from 126 employees (44 teaching and 82 non-teaching) regarding their perceptions of working conditions, infrastructure, welfare measures, and administrative practices. Findings reveal moderate satisfaction with workplace facilities such as health care, security, and road infrastructure, but highlight significant dissatisfaction in areas like day-care facilities, gym provision, and digital connectivity. Neutral responses across many parameters suggest ambiguity or lack of confidence in policies. The study identifies gaps in employee welfare and calls for reforms in infrastructure upgradation, participative decisionmaking, and enhanced transparency. The case offers insights into the dynamics of employee satisfaction in Indian public universities, providing practical recommendations for managers and policy makers to strengthen human resource outcomes in higher education institutions. Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 59 Keywords: employee satisfaction, working conditions, higher education, public sector, Chaudhary Devi Lal University. 1. Introduction Employee satisfaction has been a subject of study for decades, rooted in the belief that satisfied employees contribute more productively to organizational performance (Porter, 1985; Spector, 1997). In higher education, where employees are both knowledge disseminators and administrative enablers, satisfaction levels directly influence academic standards, student experiences, and institutional reputation. In the Indian context, public universities face unique challenges. Unlike private institutions, public universities operate under state governance with limited flexibility in financial and administrative decisions. Employees’ satisfaction is thus influenced not only by material resources but also by structural, political, and procedural dynamics (Organ & Ryan, 1995). Chaudhary Devi Lal University (CDLU), established in 2003 in Sirsa, Haryana, provides an apt context to examine employee satisfaction in a state-run institution. With a workforce comprising both teaching and non-teaching employees, CDLU represents a typical Indian public university balancing infrastructural development, policy compliance, and employee expectations. This case study evaluates the working conditions at CDLU, identifying the level of employee satisfaction, and exploring actionable improvements. 2. Review of Literature Employee satisfaction has long been recognized as a critical variable influencing organizational effectiveness, productivity, retention, and service quality. Early empirical and theoretical work framed satisfaction as a multi-dimensional construct shaped by both dispositional and situational factors (Arvey et al., 1991; Spector, 1997). Over the last six decades, research on job and employee satisfaction has examined determinants ranging from work content and supervision to organizational policies and contextual socio-economic conditions. 60 Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 3. Theoretical perspectives and measurement Several foundational instruments and conceptual frameworks have been used to measure job satisfaction, highlighting its multi-faceted nature. The Job Descriptive Index (JDI) emphasized core facets such as work itself, supervision, pay, co-workers, and promotion opportunities (Smith, Kendall, & Hulin, 1969). The Minnesota Satisfaction Questionnaire (MSQ) provided a broader facet-level view of satisfaction (Weiss, Dawis, England, & Lofquist, 1967). The two-factor perspective (Herzberg) and person-environment fit models further underscored that both intrinsic job attributes and contextual fits shape satisfaction (Herzberg; Kristof, 1996). Determinants of job satisfaction Empirical studies have consistently identified several recurring determinants:  Work content and autonomy. Challenging, meaningful work and freedom in performing tasks are repeatedly linked to higher satisfaction among managers and professionals (Singha & Singh, 1995; Sharma & Baskar, 1991).  Supervision and leadership quality. Good supervision, supportive leadership and informal interactions foster satisfaction (Roy, 1960; Gobalakrishnan, 2013). The importance of supervisor behaviour as a predictor emerges across sectors.  Pay and material rewards. Economic compensation shows mixed effects; while important, pay frequently interacts with expectations and non-monetary factors (Sharma, 1980; Nazir, 1998).  Work environment and facilities. Physical working conditions, infrastructural support and welfare facilities (e.g., healthcare, housing) significantly influence satisfaction in public and industrial settings (Kannan et al., 2008; Gupta & Sharma, 2009).  Career development and promotion opportunities. Perceived fairness in promotion processes and opportunities for growth are key contributors (Kumar, 1982).  Organizational culture and policy transparency. Organizational norms, clarity of rules and employee voice affect perceptions of fairness and engagement (Biswas & Tripathi, 1998; Kristof, 1996). Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 61 Sectoral and contextual studies Research in the Indian public sector and allied contexts reports similar patterns but highlights context-specific nuances. Studies on bank employees, engineers, and public sector workers emphasize the salience of job security, promotion, and local work norms (Sharma, 1980; Sharma & Baskar, 1991; Neelakandan & Rajendran, 2007). Investigations in healthcare and service environments show that staff satisfaction not only affects internal outcomes (absenteeism, turnover) but also client or patient outcomes (Weisman & Nathanson, 1985). Agho, Mueller, and Price (1999) proposed causal models linking situational and job characteristics to satisfaction, which have been tested across organizational forms. Measurement and methodological notes The literature also documents methodological diversity: from qualitative criticalincident techniques (Herzberg’s approach) to large-scale surveys using validated scales (JDI, MSQ). Many empirical works rely on cross-sectional surveys and chisquare or correlation analyses to test associations, frequently using convenience or stratified samples (Agho et al., 1999; Gobalakrishnan, 2013). The preponderance of cross-sectional designs highlights the need for longitudinal research to examine causal pathways and changes over time. 4. Research gap Although a rich body of literature exists on determinants of job satisfaction, a few gaps remain relevant to this study: 1. Institutional specificity for state universities: Few studies focus specifically on employee satisfaction in state public universities in Haryana (and similar regional contexts). Existing studies often treat public sector organizations generically or focus on industrial or banking sectors (Sharma, 1980; Neelakandan & Rajendran, 2007). 2. Welfare and infrastructure facets in university settings: While the literature emphasizes pay and supervision, comparatively less attention has been paid to campus-specific welfare amenities (day-care, residential facilities, gym, digital 62 Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways connectivity) and how these shape satisfaction among teaching and non-teaching staff. 3. Role-differentiated perceptions: Although some studies note differences across occupational groups, few have systematically contrasted teaching versus nonteaching employees within a single state university to identify role-sensitive policy needs. 4. Local governance and policy transparency: There is limited empirical investigation into employees’ perceptions of rule accessibility, participative decision-making, and the transparency of university ordinances in the Indian higher education setting. The present study addresses these gaps by examining employee satisfaction at Chaudhary Devi Lal University (CDLU), Sirsa, with explicit attention to infrastructure and welfare facets, role-based differences between teaching and nonteaching employees, and perceptions of institutional transparency and participatory governance. 5. Objectives of the Case Study The specific objectives are: 1. To study the quality of working conditions at Chaudhary Devi Lal University, Sirsa. 2. To measure satisfaction levels among teaching and non-teaching employees. 3. To examine perceptions of facilities, infrastructure, and administrative policies. 4. To identify feasible suggestions for enhancing employee satisfaction and institutional growth. 6. Methodology 6.1 Research Design The study followed a descriptive research design, combining fact-finding and diagnostic approaches. It sought to capture the present state of employees’ perceptions without manipulating variables. Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 63 6.2 Sample Profile  Population: Employees of CDLU (teaching and non-teaching).  Sample Size: 126 respondents (44 teaching, 82 non-teaching).  Sampling Technique: Convenience sampling.  Data Source: Structured e-questionnaire using Likert scale items.  Analysis Tools: Percentage distribution and Chi-square test to test differences. 6.3 Limitations 1. Restricted to one university (CDLU, Sirsa). 2. Limited sample size; results not generalizable to all universities. 3. Relied on self-reported data, subject to bias. 4. Time and response constraints limited data depth. 7. Case Description: Chaudhary Devi Lal University, Sirsa 7.1 University Background Named after Chaudhary Devi Lal, former Deputy Prime Minister of India, CDLU was established in 2003 under Act 9 of the Haryana State Legislature. Spread across 213 acres, the university hosts teaching blocks, laboratories, hostels, a health center, Wi-Fi facilities, and a vibrant campus life. It offers over 30 programs in technology, management, commerce, law, social sciences, and humanities. 7.2 Employee Composition The university employs both teaching and non-teaching staff. For this study:  Teaching employees: 44 respondents.  Non-teaching employees: 82 respondents.  Total sample: 126 respondents. 64 Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 8. Data Analysis and Findings 8.1 Demographic Profile Table 1: Sample Profile of Respondents (Adapted from survey data) Variable Category No. of Respondents % Age (years) 36-45 56 44.4 45-55 49 38.9 Gender Male 102 81.0 Female 24 19.0 Employment Teaching 44 34.9 Non-teaching 82 65.1 Monthly Income Above ₹1,00,000 44 34.9 Up to ₹50,000 49 38.9 Experience 12-16 years 48 38.1 16-20 years 22 17.5 The demographic profile reflects a workforce dominated by middle-aged, male employees with significant years of service. 8.2 Workplace Conditions  Work Environment: 47% respondents agreed that their department environment is pleasant; 22% remained neutral, indicating room for improvement.  Additional Duties: 53% reported receiving additional assignments beyond core responsibilities due to staff shortages.  Residential Facilities: 48.4% were satisfied, though dissatisfaction was higher among non-teaching staff.  Wi-Fi Facilities: 22.2% dissatisfied; overall mixed responses.  Healthcare: 45% satisfied, but 22% neutral.  Safety & Security: 56% satisfied; moderate confidence in measures.  Day-Care: 48% dissatisfied, indicating a major gap in welfare facilities. Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways 65  Gym: 33% dissatisfied, with many neutral responses-suggesting underdeveloped facilities.  Rules & Regulations: 34% satisfied, but 24% dissatisfied with transparency.  Collegial Relationships: Over 88% agreed relationships were cordial.  Motivation: 70% agreed they feel motivated to achieve higher goals.  Decision-Making: Only 43% felt satisfied with participation in decision processes. 8.3 Key Tables Table 2: Employees’ Satisfaction with Selected Facilities Facility Satisfied (%) Neutral (%) Dissatisfied (%) Work Environment 47 22 31 Residential Facility 48 25 27 Wi-Fi Facility 47 15 38 Health Care 45 28 27 Safety & Security 56 17 27 Day-Care Facility 18 48 34 Gym Facility 6 37 57 (Source: Survey data, 2024) The table highlights a pattern: while core facilities like safety and health generate moderate satisfaction, welfare-related facilities (day-care, gym) are viewed poorly. 9. Discussion The findings illustrate the complex satisfaction landscape at CDLU. On one hand, employees express high enthusiasm, strong collegial relations, and moderate satisfaction with safety and healthcare. On the other hand, dissatisfaction with welfare facilities (day-care, gym), infrastructural concerns (Wi-Fi, sanitation), and limited participation in decision-making highlight systemic issues. Comparing with earlier studies (Sharma, 1980; Gupta & Sharma, 2009), employee satisfaction in Indian public organizations is often influenced less by monetary incentives and more by organizational culture, infrastructure, and transparency. The 66 Stochastic Analytical Frameworks for Indian Knowledge Systems and Innovation: Future Pathways high proportion of neutral responses suggests policy ambiguity and employees’ lack of trust in grievance redressal mechanisms. A key insight is the divergence between teaching and non-teaching staff. Teaching employees expressed relatively higher satisfaction with housing and administrative support, while non-teaching employees reported dissatisfaction in welfare measures. This reinforces the need for role-sensitive interventions. 10. Implications and Suggestions  For University Management 1. Infrastructure Upgradation: Improve Wi-Fi connectivity, sanitation, and recreational spaces. 2. Welfare Measures: Develop a functional day-care center and modernize gym facilities. 3. Capacity Building: Conduct regular training and workshops on new policies and digital tools. 4. Participative Decision-Making: Institutionalize committees involving staff in governance.  For Policy Makers 1. Introduce uniform welfare guidelines for public universities. 2. Allocate dedicated budgets for employee facilities. 3. Encourage transparent digital platforms for rules, policies, and grievance management.  General Implications The case shows that employee satisfaction is multidimensional. Beyond salary, it includes welfare, recognition, and voice in decision-making. Public universities must integrate these aspects to attract and retain talent. 11. Conclusion This case study underscores that employee satisfaction in public universities depends not only on physical infrastructure but also on transparent policies, welfare