General Article

International Journal of Sustainable Building Technology and Urban Development. 30 June 2024. 261-271
https://doi.org/10.22712/susb.20240019

ABSTRACT


MAIN

  • Introduction

  •   Objectives

  •   Motivation and contribution

  • Material and Methods

  •   Study Period and Design Study Environment

  •   Gathering Data and Accumulation

  •   Data Analysis

  • Results Analysis

  •   Attributes of Female Employees as per Socio-demographic Perspective

  •   Administrative and work-related aspects of female employees as a whole

  •   Factors that affect female employees’ levels of stress at work

  • Discussions

  •   Management strategies for reducing stress at work

  • Conclusion and Future Work

Introduction

The development of sustainable urban societies is fundamentally depending upon the working atmosphere, lifestyle and health facilities in urban area. Due to increase in global economic competition, the life of workers working in the industries have been overloaded which has caused many impacts upon the society [1, 2]. Workplace stress is a troubling health issue that needs to be taken seriously by taking the proper precautions because it could have major socioeconomic repercussions [1, 2]. The WHO defines workplace stress as the response that employees display when workload and pressure don’t match their ability and skills, which puts them in a stressful situation. The setting in which workers are employed has a negative impact on the physical and mental health of those workers [3]. Stress at work significantly increases sickness rates in developing nations due to the negative effects it has on workers’ emotional, mental, and overall wellbeing.

In order to compete, both employees and employers in the business world have started to disregard the impacts of workplace stress in their daily lives. For perhaps the first time, Selye (1936) inscribed about working stress and its physiological and psychological reactions to unfavourable situations or influences [4]. He asserts that the concept of stress predates the development of human civilisation. The Latin term “Stringere,” which denotes limitation or going beyond human potential, is the root of the English word “stress.” In their studies on job stressors, Newman and Beehr (1979) [5] described it as a circumstance in which pressure from the job causes the employee to deviate from proper function due to his or her shifting mental state. Later, Loghan et al. (2005) [6] looked at stress by way of a stimulus-response to the employee’s talents and restrained needs. Researchers have found that organisational work culture has an impact on how stress develops since sources of stress depend on how things are done there [7].

In overall, stress can be used to characterise the anxiety among people experience in life, whether it comes from the family or job environment [8, 9]. However, it has been found that a definite degree of occupational stress increases output and efficacy, indicating that not all stresses in the workplace are bad [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]. Numerous academics have previously stated that factors in the workplace, for example, the landscape of the job and the socio-cultural changing aspects of the organisation, have a variety of effects on employees’ levels of stress and how severe it is [11]. Employees in the paper industry were affected by factors such as shifting or modifying their work schedules [12], drinking and other drug usage [13], social support [14, 15], their occupation, and their age [16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30]. Researchers are deeply concerned about work-oriented stress and its effects on employees, but there is little information available about the strictness and contributing variables of work-oriented stress experienced by women working in paper mills. Our goal in the current study was to learn more about the effects of workplace stress on women employees, as well as its associated causes and management methods in the Ludhiana paper sector. Further, Figure 1 and Figure 2 show the glimpse of the most stressed female workers and stress assessment tools in sustainable urban areas for different scenarios.

https://static.apub.kr/journalsite/sites/durabi/2024-015-02/N0300150209/images/Figure_susb_15_02_09_F1.jpg
Figure 1.

Scenario-1: most stressed female workers and stress assessment tools in sustainable urban areas [3].

https://static.apub.kr/journalsite/sites/durabi/2024-015-02/N0300150209/images/Figure_susb_15_02_09_F2.jpg
Figure 2.

Scenario-2: most stressed female workers and stress assessment tools in sustainable urban areas [3].

Objectives

This study, which was conducted in the industries present in Tier 2 cities in India, was crucial because it closes a significant gap in the body of current literature, which frequently ignores the particular setting of Tier 2 cities. The infrastructure and socioeconomic dynamics of Tier 2 cities differ from those of metropolises, and this might have a noticeable impact on working women’s performance and stress levels. This study is important because it focuses on sustainable urban regions, where it is important to strike a balance between development and well-being. By providing insights into these locations, more sophisticated and locally-specific interventions to help women in the workforce may be possible.

Motivation and contribution

The need to comprehend and reduce work-related stress amongst working women in sustainable urban areas is the driving force behind this research, which also seeks to identify the underlying factors affecting their productivity. Its goal is to provide information for practices and policies that promote women’s mental health at work, which will ultimately increase their contribution to the urban economy and promote a more fair and sustainable urban future.

The rest of the paper is organized as below: section 2 discusses the materials and methods. Section 3 and 4 is about the results analysis, and analysis, respectively. Finally, section 5 come up with the conclusion and future work of the present research study.

Material and Methods

This section further discusses the design study environment and data gathering and analysis.

Study Period and Design Study Environment

Among the most important industrial cities in Punjab, India, is Ludhiana, where the study was carried out. Three specifically chosen paper companies, Trident Limited, JK Paper Mills, and Nahar Paper and Board Mills Pvt. Ltd, were located in Industrial area of Ludhiana, and had roughly 320, 260, and 310 individuals working there. Trident and JK paper mills mainly dealing with all type of paper sheets and notebook printing and they are distributing their goods to international and domestic markets whereas Nahar Group of Industries is dealing with packing cardboard services where they supply their goods to big textiles industries of Ludhiana i.e., Vardhman and Oswal industries.

Gathering Data and Accumulation

Women employees of certain paper manufacturing were direct questioned for the current study using a questionnaire developed by Etefa et al. (2018) [17], and Karasek et al. (1998) [18]. The questionnaire was created to evaluate each necessary characteristic, including stress connected to the workplace, organisational, socioeconomic, physical, and psychological factors. Inquiries about work-related stress and its effects were made of 100 female employees from each of the chosen industries. Between the months of July 2021 and June 2021, the survey was conducted. There were 360 participants in the entire sample [30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42].

Data Analysis

To determine the link among each parameter and its output variable, bivariate and multivariate analysis via Binary Logistics Regression was performed. In accordance with Bendel and Afifi, 1977 [19], Hosmer-Lemeshow statistics were performed for goodness of fit (P>0.05). The course and statistical correlation between several elements and work-oriented stress were resolute by odds ratios with 95% confidence intervals (P<0.05 considered relevant in this investigation) [42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59]. Table 1 shows the attributes of female employees as per socio-demographic perspective in sustainable urban society. Further, Figures 3, 4 and 5 shows the % of Attributes of Female Employees as per Socio-demographic Perspective in Sustainable Urban Society: for different age group, marital status and Wealth.

Table 1.

Attributes of Female Employees as per Socio-demographic Perspective in Sustainable Urban Society

Variables Category Nahar Trident JK Total %age
Age groups 18-25 29 37 33 99 27.5
26-35 39 36 42 117 32.5
36-45 45 32 33 110 30.6
>45 7 15 12 34 9.4
Marital Status Unmarried 31 33 42 106 29.4
Married 89 87 78 254 70.6
Wealth Poor 59 73 61 193 53.6
Average 47 31 49 127 35.3
Rich 14 16 10 40 11.1
Type of Living Stay with family 73 79 81 233 64.7
Without family 47 41 39 127 35.3
Employment type Permanent 21 22 27 70 19.4
Temporary 99 98 93 290 80.6

https://static.apub.kr/journalsite/sites/durabi/2024-015-02/N0300150209/images/Figure_susb_15_02_09_F3.jpg
Figure 3.

% of Attributes of Female Employees for different Age Group as per Socio-demographic Perspective in Sustainable Urban Society.

https://static.apub.kr/journalsite/sites/durabi/2024-015-02/N0300150209/images/Figure_susb_15_02_09_F4.jpg
Figure 4.

% of Attributes of Female Employees for Marital Status as per Socio-demographic Perspective in Sustainable Urban Society.

https://static.apub.kr/journalsite/sites/durabi/2024-015-02/N0300150209/images/Figure_susb_15_02_09_F5.jpg
Figure 5.

% of Attributes of Female Employees for Wealth as per Socio-demographic Perspective in Sustainable Urban Society.

Results Analysis

Attributes of Female Employees as per Socio-demographic Perspective

A total 360 respondents have been participated in this survey. Table 1 indicates the basic statistics of the participants where about 60% women has age of less than 35, 71% married, 54% poor, 11% rich, 65% staying with family, 81% of women were employed on temporary basis. Further, Table 2 tabulated the administrative and work-related aspects of female employees as a whole in sustainable urban society.

Table 2.

Administrative and work-related aspects of female employees as a whole in sustainable urban society

Variables Category Frequency Percentage
Working hours/week ≤ 48 hours 272 75.56
> 48 hours 88 24.44
Salary Satisfied 112 31.11
Not satisfied 248 68.89
Working environment Comfortable 204 56.67
Uncomfortable 156 43.33
Organizational support Appropriate 216 60.00
Inappropriate 144 40.00
Workplace violence Yes 107 29.72
No 253 70.28
Job security Good 78 21.67
Poor 282 78.33
Work experience ≤ 5 years 282 78.33
> 5 years 78 21.67
Overtime working hours/month ≤ 25 hours 210 58.33
> 25 hours 150 41.67
Conflict at workplace Yes 112 31.11
No 248 68.89
Shift-work Fixed 266 73.89
Rotation wise 94 26.11
Injury at workplace Yes 132 36.67
No 228 63.33
Safety and health facilities Yes 72 20.00
No 288 80.00
Time pressure High 302 83.89
Low 58 16.11
Resources Appropriate 242 67.22
Inappropriate 118 32.78

Administrative and work-related aspects of female employees as a whole

Amongst 360 employees who addressed the several work oriented stress at their place of employment, 156 (43%) reported uncomfortable working environment, 144 (40%) inappropriate organisational support, 248 (69%) worried due to unsatisfactory salary offered, 107 (30%) employees who experienced workplace violence, 282 (78%) employees who reported poor job security, 132 (37%) employees who experienced injury at workplace, and 288 (80%) employee denied safety and health facilities offered inside the factory (Table 2).

Factors that affect female employees’ levels of stress at work

Table 3 lists the findings from bivariate and multivariate analysis for relationships to work oriented stress. The following were significantly correlated with work-oriented stress: workplace violence, social support, shifts in working hours, wage satisfaction, monthly hours worked in excess of the standard, industrial accidents, and organisation support (Table 3). Rotating work schedules and fewer social supports were revealed to be statically important in the multivariate analysis of work-oriented stress in respect to all the factors. Comparing rotating individuals to their counterparts, the odds of work-oriented stress were two times higher for shifting staffs (adjusted odds ratio=2.37, 95% CI=1.41-3.41). In comparison to strong social support, lower social support has more risk factors for work-oriented stress (adjusted odds ratio =3.71, 95% CI=2.92-5.12), as does intermediate social support (AOR=3.11, 95% CI=1.81-4.92). Also, when compared with salary satisfied working women, unsatisfied women had more working stress (Adjusted odds ratio=2.57, 95% CI=1.32-2.97).

Table 3.

Factors that affect female employees’ levels of stress at work

Variables Category Work-oriented stress COR (95% CI) AOR (95% CI)
Yes No
1= Reference, **P-value < 0.01, ***P-value < 0.001
Organizational support Appropriate 198 18 1 1
Inappropriate 107 37 1.12 (0.85-1.67) 1.47 (1.01-2.09)
Salary Unsatisfied 204 44 1.31 (0.81-1.71) 2.57 (1.32-2 .97)**
Satisfied 78 34 1 1
Shift-work Fixed 234 32 1 1
Rotation wise 54 40 1.22 (0.89-1.99) 2.37 (1.41-3.41)**
Workplace violence No 195 58 1 1
Yes 62 45 1.04 (0.72-1.57) 1.18 (0.95-1.98)
Injury at workplace No 190 38 1 1
Yes 88 44 0.47 (0.31-0.69) 0.94 (0.76-1.27)
Overtime working hours/week ≤ 25 hours 64 208 1 1
> 25 hours 52 36 1.32 (1.06-1.92) 1.47 (1.39-1.91)
Social support Poor 82 26 3.89 (3.41-5.88) 3.71 (2.92-5.12)***
Moderate 117 72 3.21 (1.89-5.19) 3.11 (1.81-4.92)**
High 38 25 1 1

Discussions

In the current study, the total occurrence of work-oriented stress was 47.3% (95% confidence interval CI= 37.2-47.2). The results of this research work are comparable to those of further studies conducted in several other regions of the world, such as West Sussex (43%) [20], Ethiopia (40.4%) [17]. However, it was discovered that work oriented stress was lower in comparison to our study in the Congo (28%) [16], Thailand (27.5%) [21], and Iran (21.3%) [22]. In particular, Bangalore City (26%) and India (25%) in general have low levels of work-related stress, according to Anandi et al. [23] and Mohan et al. [24], respectively. The populace of the study region, the size of the sample, and the techniques utilised for the study could all be contributing factors to these variations in work-related stress across the globe. The likely cause of these variations is that developed countries have better socioeconomic situations, access to health facilities, safety precautions, and frequent training [11, 25]. The current study likewise discovered that operative setting, or working environment, and shifting of working time were both related to work-oriented stress; these findings may be due to the effects of surroundings on employees’ brains. Our findings support previous studies that show shifting workers are more susceptible to work-oriented stress than their counterparts [26], [27]. This is because shifting workers experience more stress because their biological clocks change, which could lead to a variety of psychiatric symptoms. Our findings also showed that low and moderate social support contributed significantly to work-related stress, which has been seen by some other researchers from around the world [21, 28, 29, 30]. Poor social support negatively affects the quality of life for female employees [31, 32, 33]. For women working in the workplace, psychological support from society and the organisation is crucial since it significantly improves their physical and mental health when dealing with stress at work [34].

Management strategies for reducing stress at work

From our research, we identified a few crucial elements for the authority to control work-related stress. Innovative training programmes for working women employees should be organised by management to reduce stress. Industry must put greater emphasis on stress management programmes in order to reduce the tension. The management should recognise its workers for their accomplishments, promote temporary workers to permanent positions, and give periodic appraisals to motivate their workforce. The availability of social and emotional support for working women employees should be increased to reduce stress.

Conclusion and Future Work

The recognition of work-related stress (WRS) as a noteworthy obstacle to the sustainability of society is growing, with a special focus on its impact on female employees. We found that about 47.3% (95% confidence interval CI= 37.2-47.2) of participants reported feeling stressed out at work, which is consistent with worldwide statistics but varies by location. When it comes to workplace stress, people having rotating working hours are 2.37 times more likely to experience it than fixed-working hours workers. Comparing the risk of stress to that of strong support, insufficient and moderate social support are associated with 3.71 and 3.11 times higher risk, respectively. The adjusted odds ratio of 2.57 for salary dissatisfaction among working women highlights the need for supportive work settings as it contributes to higher stress levels. According to our research, a significant percentage of women who work encounter different degrees of WRS. Their susceptibility to work stress is increased by elements including lower earnings, job uncertainty, irregular shifts, and insufficient social support. In the end, this stress might seriously reduce female employees’ productivity and organizational contributions. Therefore, it is essential to monitor work-related stress proactively in order to prevent accidents, stop productivity losses, and lower the expenses of replacing employees who are unable to work because of stress-related problems.

Future developments of this work might include longitudinal research to monitor how work-related stress (WRS) develops over time in female employees across different industries. This would make it possible to investigate the long-term impacts on mental health and work performance as well as the efficacy of various stress-reduction techniques. Furthermore, comparative research in other cultural contexts and economic domains may offer a more thorough comprehension of WRS, resulting in internationally applicable solutions and the creation of global standards for the establishment of supportive work environments. Incorporating technology innovations like artificial intelligence and machine learning can also improve WRS prediction and prevention by customizing interventions to meet the unique needs of each patient and the unique challenges faced by the industry.

Conflicts of Interest

Details on potential conflicts of interest are included under Publishing Ethics. Manuscripts that do not include a conflict-of-interest statement will be returned to the authors for amendment before any editorial consideration.

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N. Jha, D. Prashar, M. Rashid, S.K. Gupta, and R.K. Saket, Electricity Load Forecasting and Feature Extraction in Smart Grid Using Neural Networks. Computers & Electrical Engineering. 96 (2021), Part A, 107479, pp. 1-12, (SCIE, IF=4.3). DOI: https://doi.org/10.1016/j.compeleceng.2021.107479.

10.1016/j.compeleceng.2021.107479
45

R. Shailendra, A. Jayapalan, S. Velayutham, A. Baladhandapani, A. Srivastava, S.K. Gupta, and M. Kumar, An IoT and Machine Learning based Intelligent System for the Classification of Therapeutic Plants. Neural Processing Letters. 54 (2022), pp. 4465-4493. DOI: 10.1007/s11063-022-10818-5.

10.1007/s11063-022-10818-5
46

C. Chunka, S. Banerjee, and S.K. Gupta, A secure communication using multifactor authentication and key agreement techniques in internet of medical things for COVID-19 patients. Concurrency and Computation: Practice and Experience. 35(7) (2023), pp. 1-22. DOI: https://doi.org/10.1002/cpe.7602.

10.1002/cpe.7602
47

I. Sharma and S.K. Gupta, Channel Tracking in IRS-based UAV Communication Systems using Federated Learning. Journal of Electrical Engineering. 74(6) (2023), pp. 521-531.

10.2478/jee-2023-0060
48

I. Sharma and S.K. Gupta, SFL-MDrone: Synchronous Federated Learning Enabled Multi Drones. Journal of Intelligent & Fuzzy Systems. 46(4) (2024), pp. 8543-8562. DOI: 10.3233/JIFS-235275.

10.3233/JIFS-235275
49

A. Gupta and S.K. Gupta, UAVs in collaboration with Fog computing network for improving QoS. International Journal of Communication Systems. 37(9) (2024), pp. 1-19.

10.1002/dac.5759
50

P. Yadav, S. Yadav, A. Srivastava, S.K. Gupta, R.R. Chandan, B.D. Mazumdar, and N. Goyal, Sensor Injection Based Routing Protocol for Effective Load Balancing in Underwater Wireless Sensor Networks. Wireless Personal Communications. 133(2) (2023), pp. 951-979. DOI: 10.1007/s11277-023-10799-1.

10.1007/s11277-023-10799-1
51

S.K. Gupta, R. Sharma, and R.K. Saket, Effect of variation in active route timeout and delete period constant on the performance of AODV protocol. International Journal of Mobile Communications. 12(2) (2014), pp. 177-191. DOI: 10.1504/IJMC.2014.059737.

10.1504/IJMC.2014.059737
52

S. Kumar, S. Kumar, M.K. Chaube, S.K. Gupta, and R.K. Saket, Role of Mathematical Modelling and Learning Techniques for Privacy Preservation. GMSARN International Journal. 17(1) (2023), pp. 96-110.

53

A. Gupta and S.K. Gupta, Intelligent Collaboration of Multi-Agent Flying UAV-Fog Networking for better QoS. IEEE 2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022), Maldives National University, Maldives, pp. 1-6, 16-18, November 2022, DOI: 10.1109/ICECCME55909.2022.9987934.

10.1109/ICECCME55909.2022.9987934
54

A. Gupta and S.K. Gupta, UAV Aided Fog Network (UAFN): A Proposal Framework for Better QoS. IEEE 2nd International Conference on Computing and Information Technology (ICCIT), University of Tabuk, Tabuk, Saudi Arabia, pp. 265-270, 25-27 Jan. 2022, DOI: 10.1109/ICCIT52419.2022.9711624.

10.1109/ICCIT52419.2022.9711624
55

H.M. Khan and F.A. Alkhalifa, Using smart sustainable city indicators to evaluate urban quality in the Kingdom of Bahrain. International Journal of Sustainable Building Technology and Urban Development. 14(3) (2023), pp. 299-319. DOI: 10.22712/susb.20230023.

56

R. Kim, H. Kim and S. Park, Development of environmental impact coefficients for major construction materials for green renovation. International Journal of Sustainable Building Technology and Urban Development. 15(1) (2024), pp. 109-118. DOI: 10.22712/susb.20240009.

57

E. Farooq, A. Sahu, and S.K. Gupta, Survey on FSO Communication System Limitations and Enhancement Techniques. Optical and Wireless Technologies, Lecture Notes in Electrical Engineering (LNEE), Springer Nature Singapore. 472 (2018), pp. 255-264. DOI: 10.1007/978-981-10-7395-3_29.

10.1007/978-981-10-7395-3_29
58

O. Kaoutar and R. Idchabani, Urban vegetation as a climate change adaptation measure of moroccan cities: A case study. International Journal of Sustainable Building Technology and Urban Development. 15(1) (2024), pp. 68-81. DOI: 10.22712/susb.20240006.

59

C. Kwon, AI and the future of architecture: A Smart secretary, revolutionary tool, or a cause for concern?. International Journal of Sustainable Building Technology and Urban Development. 14(1) (2023), pp. 128-131. DOI: 10.22712/susb.20230010.

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