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Home > Intra-Organizational Stressors in Power Wing of Water and Power Development Authority: An Empirical Study a Test of the Demands-Control-Support Model

Intra-Organizational Stressors in Power Wing of Water and Power Development Authority: An Empirical Study a Test of the Demands-Control-Support Model

Thesis Info

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External Link

Author

Khan, Saif-Ur-Rehman

Program

PhD

Institute

National University of Modern Languages

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2008

Thesis Completion Status

Completed

Subject

Management Sciences

Language

English

Link

http://prr.hec.gov.pk/jspui/handle/123456789/426

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676724814102

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KEY WORDS: (STRESSORS, JOB STRESS & STRAIN, DEMANDS-CONTROL- SUPPORT MODEL) Most of the stress theories were developed to describe reactions to “inevitable” acute stress in a work environment threatening the individual organic survival. However, the demand-control-support model (DCSM) was constructed for work environments where “stressors” are persistent, not initially life threatening, and are the products of complicated human organizational decision making process. Here, the controllability of these stressors is very important, and becomes more important as we develop ever more complex and integrated organizational system, with ever more complex personality traits of individual behavior. The DCSM (Karasek 1976 & 1979; Karasek and Theorell 1990) is based on psychosocial and physical characteristics of work environment: the psychological and physical demands of work and a combined measure of task control through personal skills (decision latitude) and social support. Job control includes the worker’s abilities and skills for coping with demands and the latitude to decide how a specific task should be accomplished. Job stress depends on the level of demands, on the worker’s decision- making latitude, and on the quality of social support available from management and co-workers. The models predict, first, stress-related strain indices, and, secondly, active/passive behavioral correlates of jobs. These models propose that worker strain and active learning are determined by particular combinations of job demands, job control and social support at workplace. Specifically, incumbents of jobs that are high in demands, low in control, and low in support are expected to show high levels of strain, whilst incumbents of jobs that are high in all three job factors are expected to display high levels of activity, learning and participation, both on and off the job. The models also propose that prolonged exposure to combinations of these job conditions influence workers'' immediate indices (job anxiety, job dissatisfaction and somatic symptoms) and remote indices (mastery, neuroticism, and employee’s turnover intention and activity participation) of job strain. This thesis reports an attempt to clarify, critically evaluate, extend and test Karasek & Theorell’s models. Self-report data, as well as information obtained from Distribution Companies (DISCOs) of power wing of Water and Power Development Authority (WAPDA) are used to assess the independent linear, quadratic, additive and interactive effects of job factors. Study 1 is being conducted a cross-sectional design, and self-report measures of job demands, job control and job stressors to predict several indices of worker strain and performance. Study 2 was designed to ensure the authenticity of study 1 and thus to provide a more valid and logical proof of test of Karasek’s hypothesis and models. Personality variables of employees (neuroticism, mastery) were also determined to predict the relationship with job factors and indices of job strain. In general, the results from this research confirm past findings regarding the effects of job demands, control and social support on strain. The research makes several important contributions to practical implications to job development and jobs re-design. More practically, the research reinforces the importance of providing "control-enhancing" opportunities for employees who are facing problems to highly demanding jobs. Because the cost of stress and strain is very high for individuals (poor health, accidents, job dissatisfaction, health care expenditures), for companies or organizations (poor performance, lack of productivity, effects the quality of work, spoilage and defective work, absenteeism, medical costs, turnover, even labor conflicts and strikes), and for society (health care costs, loss of intellectual capital, low-level performance and economic competitiveness). Recommendations for future research include the need to test an expanded model using multi-wave cross-sectional designs and magnitude of multi-stressors of work environment.
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٢۔حبیب تنویر کاڈرامہ

 

حبیب تنویر کا ڈرامہ " آگرہ بازار"

احمد سہیل

کلیدی لفظیات اوراصطلاحات —: آگرہ بازار،سوانح عمری  حبیب تنویر ، نظیر اکبرآبادی، تھیٹر، انڈین تھیٹر، نیا تھیٹر، بشری تہذیب ، تاریخ سازی۔ لسانی تجربات :::

آگرہ میں بازار پر افسردگی کا راج ہے اور کچھ نہیں بکتا۔ ایک کھیرا بیچنے والے کو لگتا ہے کہ اگر اسے اپنی مصنوعات کی خوبیوں کے بارے میں لکھی ہوئی نظم مل جائے تو یہ بہتر فروخت ہوگی۔ وہ کئی شاعروں سے رجوع کرتا ہے لیکن وہ اس کی درخواست کو ٹھکرا دیتے ہیں۔ آخر میں وہ شاعر نظیر کے پاس جاتا ہے جو اسے فوراً پابند کرتا ہے۔ وہ کھیرے کے بارے میں نظیر کا گانا گاتا ہے اور اس کے پروڈکٹ کے لیے گاہک جمع ہوتے ہیں۔ دوسرے دکاندار - لڈو والا، تربوز والا، وغیرہ - اس کی پیروی کرتے ہیں اور جلد ہی پورا بازار نظیر اکبر آبادی کے گانوں سے گونجنے لگتا ہے۔

اس مرکزی پلاٹ کے ارد گرد ایک نوجوان آوارہ کی کہانی بنی ہے جو ایک ویگن کا پیچھا کرتا ہے اور اپنے حریف ایک پولیس انسپکٹر کے ہاتھوں انجام کو پہنچتا ہے، جسے وہ محبت کے اس کھیل میں پہلے شرمندہ کر چکا ہے۔ ٹی اے، ممبئی کے سرگرم رکن ہونے کے علاوہ، وہ ایڈیٹر اور ڈرامہ نقاد بھی رہ چکے ہیں۔ ان کی کچھ اہم پروڈکشن جن میں آگرہ بازار، مٹی کی گاڑی، چرنداس چور، جن لاہور نہیں دیکھا، راجکت اور بہت کچھ شامل ہے۔ حبیب تنویر کو سنگیت ناٹک اکادمی ایوارڈ، ڈرامہ کے لیے شیکھر سمان، ناندیکر ایوارڈ، فرنگ فرسٹ ملا۔

* نیا تھیٹر*

نیا تھیٹرحبیب تنویرنے 1959 میں قائم کیا ۔ ایک پیشہ ور...

COMPARISON OF REGIONAL MANUAL THERAPY AND STANDARD PHYSICAL THERAPY INTERVENTION IN FEMALES WITH SACROILIAC JOINT PAIN

Background and Aim: Sacroiliac joint pain is localized in the region of sacroiliac joint which can be increased by stress and provocation tests of the joint. Aim of this study was to compare two interventions for reduction of sacroiliac joint pain. Methodology: Study design was randomized clinical trial. Study was conducted in bajwah hospital and children polyclinic Lahore. Duration of study was six months. The total sample size was 64 patients. Females of 20-50 years old with diagnosed sacroiliac joint pain were included in this study. Compression and distraction objective tests were performed for further confirmation of sacroiliac joint pain.  Purposive sampling technique was used. Numeric pain rating scale (NPRS) and Oswestry low back disability questionnaire (ODI) were used to collect the data. Exclusion criteria was females with fractures and other abnormalities of spine. Results: Results showed that both groups were equal when assessed on baseline by normality test colmogorov-smirnova. Independent t test was applied to compare the mean value of NPRS. Pretreatment mean of NPRS scale for both the regional treatment and standard treatment groups was 7.After 4 weeks NPRS of regional treatment group was 4 and of standard treatment group was 7. The mean value of pretreatment ODI for regional treatment group was 33 and for standard treatment group was 34.After 4 weeks ODI of regional treatment group was 24 and mean of standard treatment group was 27. Conclusion: It is concluded that after giving equal sessions to both groups when results were assessed regional treatment is more effective than standard treatment.

Enhancing Qos in 5G Networks Using Self Optimization of Radio Resource Management Parameters

Enhancing QoS in 5G networks using Self Optimization of Radio Resource Management Parameters The demand for high data rate mobile traffic is increasing tremendously as the world transcends into High Definition (HD) quality applications, video calling, streaming traffic, social media etc. To match these sky-rocketing user demands, increasing traffic and volatile radio environment, mobile networks are continually evolving and becoming more and more sophisticated. While, the trend of mobile networks has been towards an all IP flat network, the network Quality of Service (QoS) metric has shifted from simple voice services to providing high volume data services. The increased network complexity puts a high burden on operation and maintenance costs making the traditional methods obsolete. In this backdrop, the concept of Self Organizing Networks (SONs) was introduced in the 4G mobile network standard by the 3rd Generation Partnership Project (3GPP) to enhance network performance and reduce operational costs. SON is also a significant component in the upcoming 5G mobile standard and thus has received much interest by the research community. SONs behave like an intelligent living organism and adapt to changing environment, resources and traffic loads. Two areas that have a notable impact on network performance are, interference mitigation and coverage adaptation for load balancing and these are the main focus of this PhD research work. We have worked on finding and comparing different self-optimisation techniques based on network Key Performance Indicators (KPIs), to reduce network interference and balance traffic load in the context of SON. In particular, we have applied simple machine learning techniques of Stochastic Cellular Learning Automata (SCLA), simple Q-Learning and Artificial Neural Networks (ANN) QLearning in a fully distributed SON 5G environment with a unique information sharing model among cells, its neighbours and the network. This model is unique in the sense that it depends on a simple distance separation criteria instead of Radio Frequency (RF) environment to identify and define neighbours for information sharing. Interference reduction was done for femtocells, and coverage adaptation for load balancing was done using active antenna tilt model. Test results from network-based simulators based on 3GPP guidelines show that simple SON technique like SCLA adapt quickly, as compared to advance techniques like Q-Learning but are limited in capturing complex network scenarios. The reason being, simple Q-Learning techniques fail to swiftly adjust to changing environment conditions as the number of state variables grow. This is due to increased training time required to build a meaningful Q matrix. ANN showed promising results concerning agility and adaptability to complex changing environments. ANN has the inherent capacity to accept a large number of inputs, reduce the input dimension and adapt to changes as time grows. It is thus concluded, that simple machine learning techniques like SCLA are best suited for enhancing QoS in 5G networks where optimisation input variables are unavailable or unknown like in standalone Femtocell case. However, in scenarios where the numbers of input variable are known and readily available from the network, i.e. cooperative distributed environment, ANN gives better results.