Coworker Discretionary Support: The Meaning of a ConstructMaggie Collins
Presentation of my thesis research in which I behaviorally defined coworker support, developed a measure, and demonstrated its relationship to employee engagement
Presentation made by Dr. Jim Gold at the Schizophrenia Research Forum's Live Webinar of November 10, 2014 - http://www.schizophreniaforum.org/for/live/detail.asp?liveID=94
OPRA’s Managing Psychologist, Ben Hainsworth, represents a thought leader in Safety Psychological Profiling and presented findings of a 3 year Longitudinal Study at the 2015 Australian Psychological Society’s 11th Industrial and Organisational Psychology Conference. The research conducted with Australia’s oldest Apprenticeship Training company, Hunter Valley Training Company, highlighted the value of best practice psychometric assessments and the resulting impact on reducing injuries and associated insurance costs.
Assumptions in I/O Psych to be tested: A blue print for progressing the disci...OPRA Psychology Group
OPRA is a proud team of organisational psychologists. Our acronym stands for Occupational Psychology Research Associates.
Being true to our field, we admit both the strengths and limitations of our discipline. The following presentation, from 2007, discusses some of the common half truths that are permeated within our field.
Only by understanding the limitations of psychology will its true benefit to business be realized. This remains the goal of the OPRA Group.
Coworker Discretionary Support: The Meaning of a ConstructMaggie Collins
Presentation of my thesis research in which I behaviorally defined coworker support, developed a measure, and demonstrated its relationship to employee engagement
Presentation made by Dr. Jim Gold at the Schizophrenia Research Forum's Live Webinar of November 10, 2014 - http://www.schizophreniaforum.org/for/live/detail.asp?liveID=94
OPRA’s Managing Psychologist, Ben Hainsworth, represents a thought leader in Safety Psychological Profiling and presented findings of a 3 year Longitudinal Study at the 2015 Australian Psychological Society’s 11th Industrial and Organisational Psychology Conference. The research conducted with Australia’s oldest Apprenticeship Training company, Hunter Valley Training Company, highlighted the value of best practice psychometric assessments and the resulting impact on reducing injuries and associated insurance costs.
Assumptions in I/O Psych to be tested: A blue print for progressing the disci...OPRA Psychology Group
OPRA is a proud team of organisational psychologists. Our acronym stands for Occupational Psychology Research Associates.
Being true to our field, we admit both the strengths and limitations of our discipline. The following presentation, from 2007, discusses some of the common half truths that are permeated within our field.
Only by understanding the limitations of psychology will its true benefit to business be realized. This remains the goal of the OPRA Group.
Improve your test item writing skills to help create better nursing examsExamSoft
Presented by Ainslie Nibert, Associate Dean and Associate Professor, Texas Woman's University College of Nursing
This webinar assists with creating critical-thinking test items for all of your exams. You’ll obtain valuable student response data from these new questions that can guide future editing, and help you obtain the greatest benefit from your authoring efforts. By performing a systematic item analysis after each exam, you can pinpoint students’ knowledge gaps, which will help you focus your item writing on those course objectives that are globally misunderstood or ignored. In addition to reviewing item writing techniques, we’ll also cover the advantages of using electronic test blueprints to establish test validity and tie your assessments to your overall program objectives.
Widya de Bakker, MSc., HU University of Applied Sciences Utrecht, The Netherlands Andrea Donker, PhD, HU University of Applied Sciences Utrecht, The Netherlands drs. Johan Boxstaens, Karel de Grote University College and the University of Antwerp, Belgium.
Prato 2018.
Work from Home - Feasibility, Impact, and OutcomeParesh Munjani
This ppt aims to look specifically at the impact and performance levels of employees who currently have the flexibility and opportunity of working from home and in addition to this how their work-life balance may be affected based upon their motivation and satisfaction. Research has been done on a sample size of 115 (Respondents from Gujarat state only) using the non-probability convenience method.
Searching for outcomes in rural Tanzania: Harvesting directly from those infl...John Mauremootoo
The benefits and challenges of using Outcome Harvesting to evaluate a short-term intervention are explored using the example of an 18 month social change project supported by the UK Department for International Development in Tanzania. The project was that was highly ambitious: it sought to influence changes in gender attitudes and behaviour of the general public in Tanzania. Challenges included the lack of outcome indications in project document and the lack of knowledge of outcomes among project personnel. Outcome Harvesting was adapted to allow the harvesting of outcomes using focus groups of those the project sought to influence directly. The concept of ‘proto-outcome’ was used for suggestions of attitude changes that may lead ultimately to behaviour changes. Substantiation of outcomes involved not only third parties but direct observation. The resulting descriptions of outcomes and the evaluation findings proved valuable for learning in the organisation, Search for Common Ground.
Working alliance with mandated clients
Centre Social Innovation HU University of Applied Sciences.
Anneke Menger, Annelies Sturm, Andrea Donker
24 may 2018 Prato, Italy
CPHA 2014: Partnerships for Health System ImprovementHealth Evidence™
Slides from an oral presentation given at the Canadian Public Health Association's annual conference, Public Health 2014. This presentation presented the results from a Partnerships for Health System Improvement study.
1
CPD research
Student name
Instructor name
Course title
Date
Introduction
Training department has been experiencing a decline in the attendance of the nurses to the CPD activities for the last two years. Based on this decline, it is important as a training department to look forward examining some of the factors that might have led to the decline. Therefore, a survey which involves a cross sectional study design was mandatory to investigate these factors. The primary aim of the survey was to collect data using questionnaires on what motivated the nurses to attend the continuing professional development (CPD) activities along with the impact of these activities on the nurses’ performance as they perceived. The department will be trying to find strategies that will enhance CPD participation. However, the finding will be used to improve attendance and planning the next year continuing professional activities annual plan. The research managed to collect qualitative data. The dependent variables are variables that change based on other variables, thus these variables are the questions asked to the respondent such as what motivated them to undertake CPD activities, the strategies they consider to enhance their CPD activities and how these strategies impact their learning including their colleagues and organization and also how they can measure the impact of the CPD they attended on their growth and development and effectiveness of the strategies identified. The independent variables are variables that do not change based on other variables. In this case, the independent variables are the responses from the participants.
Research questions
There were four research questions. These are as follows;
· What motivates them to undertake CPD activities?
· What strategies do they consider in enhancing your CPD activities?
· How these strategies made impact on their as a learner, to their colleagues or the organization in which they work?
· How do they measure the impact of the CPD they attended on their growth and development and the effectiveness of the strategies identified?
Research hypothesis
Hypothesis
The hypothesis is the proposed explanation with limited evidence that guide the research by giving it a starting point. In most cases, the research consist of two hypotheses, this include null hypothesis and alternative hypothesis. The null hypothesis is the hypothesis that has no significant difference between the specified populations while alternative hypothesis is the hypothesis that has a significant difference between the specified populations.
Hypothesis one
Null hypothesis: There is no significant difference between the respondent views.
Alternative hypothesis: There is a significant difference between the respondent views.
Or
H0: μr=μr where r represent respondent views
H1: μrμr
Hypothesis two
Null hypothesis: There are no significant factors led to decline in the attendance of the nurses to the CPD activities for the last two ...
Improve your test item writing skills to help create better nursing examsExamSoft
Presented by Ainslie Nibert, Associate Dean and Associate Professor, Texas Woman's University College of Nursing
This webinar assists with creating critical-thinking test items for all of your exams. You’ll obtain valuable student response data from these new questions that can guide future editing, and help you obtain the greatest benefit from your authoring efforts. By performing a systematic item analysis after each exam, you can pinpoint students’ knowledge gaps, which will help you focus your item writing on those course objectives that are globally misunderstood or ignored. In addition to reviewing item writing techniques, we’ll also cover the advantages of using electronic test blueprints to establish test validity and tie your assessments to your overall program objectives.
Widya de Bakker, MSc., HU University of Applied Sciences Utrecht, The Netherlands Andrea Donker, PhD, HU University of Applied Sciences Utrecht, The Netherlands drs. Johan Boxstaens, Karel de Grote University College and the University of Antwerp, Belgium.
Prato 2018.
Work from Home - Feasibility, Impact, and OutcomeParesh Munjani
This ppt aims to look specifically at the impact and performance levels of employees who currently have the flexibility and opportunity of working from home and in addition to this how their work-life balance may be affected based upon their motivation and satisfaction. Research has been done on a sample size of 115 (Respondents from Gujarat state only) using the non-probability convenience method.
Searching for outcomes in rural Tanzania: Harvesting directly from those infl...John Mauremootoo
The benefits and challenges of using Outcome Harvesting to evaluate a short-term intervention are explored using the example of an 18 month social change project supported by the UK Department for International Development in Tanzania. The project was that was highly ambitious: it sought to influence changes in gender attitudes and behaviour of the general public in Tanzania. Challenges included the lack of outcome indications in project document and the lack of knowledge of outcomes among project personnel. Outcome Harvesting was adapted to allow the harvesting of outcomes using focus groups of those the project sought to influence directly. The concept of ‘proto-outcome’ was used for suggestions of attitude changes that may lead ultimately to behaviour changes. Substantiation of outcomes involved not only third parties but direct observation. The resulting descriptions of outcomes and the evaluation findings proved valuable for learning in the organisation, Search for Common Ground.
Working alliance with mandated clients
Centre Social Innovation HU University of Applied Sciences.
Anneke Menger, Annelies Sturm, Andrea Donker
24 may 2018 Prato, Italy
CPHA 2014: Partnerships for Health System ImprovementHealth Evidence™
Slides from an oral presentation given at the Canadian Public Health Association's annual conference, Public Health 2014. This presentation presented the results from a Partnerships for Health System Improvement study.
1
CPD research
Student name
Instructor name
Course title
Date
Introduction
Training department has been experiencing a decline in the attendance of the nurses to the CPD activities for the last two years. Based on this decline, it is important as a training department to look forward examining some of the factors that might have led to the decline. Therefore, a survey which involves a cross sectional study design was mandatory to investigate these factors. The primary aim of the survey was to collect data using questionnaires on what motivated the nurses to attend the continuing professional development (CPD) activities along with the impact of these activities on the nurses’ performance as they perceived. The department will be trying to find strategies that will enhance CPD participation. However, the finding will be used to improve attendance and planning the next year continuing professional activities annual plan. The research managed to collect qualitative data. The dependent variables are variables that change based on other variables, thus these variables are the questions asked to the respondent such as what motivated them to undertake CPD activities, the strategies they consider to enhance their CPD activities and how these strategies impact their learning including their colleagues and organization and also how they can measure the impact of the CPD they attended on their growth and development and effectiveness of the strategies identified. The independent variables are variables that do not change based on other variables. In this case, the independent variables are the responses from the participants.
Research questions
There were four research questions. These are as follows;
· What motivates them to undertake CPD activities?
· What strategies do they consider in enhancing your CPD activities?
· How these strategies made impact on their as a learner, to their colleagues or the organization in which they work?
· How do they measure the impact of the CPD they attended on their growth and development and the effectiveness of the strategies identified?
Research hypothesis
Hypothesis
The hypothesis is the proposed explanation with limited evidence that guide the research by giving it a starting point. In most cases, the research consist of two hypotheses, this include null hypothesis and alternative hypothesis. The null hypothesis is the hypothesis that has no significant difference between the specified populations while alternative hypothesis is the hypothesis that has a significant difference between the specified populations.
Hypothesis one
Null hypothesis: There is no significant difference between the respondent views.
Alternative hypothesis: There is a significant difference between the respondent views.
Or
H0: μr=μr where r represent respondent views
H1: μrμr
Hypothesis two
Null hypothesis: There are no significant factors led to decline in the attendance of the nurses to the CPD activities for the last two ...
6
SURVEY REPORT
INTRODUCTION
Management of knowledge is one of the domineering methods that are being used by the companies in order to encounter their pre-emptive and planned requirements. It is comprised of the ingenuities, procedures, tactics and schemes that endure and boost the modification, sharing, assessment, and storage and information formulation. Therefore, the practices of knowledge management play an important role in attaining company goals and objectives in effective manner. It helps generating value for the company (Alegre, Sengupta and Lapiedra, 2013).SURVEY AIM
To find out the impact of knowledge management in Qatar Airways on their strategic planningOBJECTIVE
Objective of the conducted survey is to scrutinise practices of the knowledge management that affect the strategic planning activities and also evaluate the issues and factors that are associated with the knowledge management and put their both positive and negative impact on the strategic planning of the organisation. In order to analyse, the researcher emphasises on the following research objective:
· To identify the relationship between Knowledge management and strategic planning
· To evaluate the factors of KNOWLEDGE MANAGEMENT that affects the practices of strategic planning.
· To examine how the practices of strategic planning affect the corporate performance of Qatar airways.
· To determine the importance of strategic planning on Qatar airways.SURVEY QUESTION
Intended for obtaining the above-illustrated objectives of this project, the researcher will search pro solutions to the substantial questions:
· Is there any association among knowledge management and strategic planning?
· What are the major elements of knowledge management that affect the strategic planning practices of Qatar Airways?
· How the practices of knowledge management and strategic planning impact the performance of Qatar Airways?
· Are the practices of knowledge management important for organisations?REASEARCH FACTORS
Knowledge management communicates important information widely and quickly and it assists to address this difficulty throughout modified portal as well as particular search engines. If average procedures as well as measures have been distinct they ought to constantly be followed. There are many factors that involve knowledge management. They are either independent or depend on other factors. All these factors are categorized mainly into three categories which are further classified into other factors. (Lindner and Wald, 2011). (IV) (DV)
1. People
a. Knowledge Managers (IV)
b. Communities or Practice (IV)
c. Training and Communication (IV)
d. Measurement and Reward system (IV)
e. Knowledge sharing culture (DV)
f. Knowledge advisors (IV)
g. Employee satisfaction survey
2. Process
a. Knowledge capture and reuse (DV)
b. Communities of Practice (DV)
c. Best practice selection and replication (IV)
d. Project Team Collaboration (DV)
e. Metrics and Reporting (IV)
f. Managem.
Highlights from three different speakers on the actual use of dashboards for decisionmaking.
MEASURE Evaluation shares the results of a landscape analysis looking for specific examples of dashboards prompting action. BroadReach shares an example of how their Vantage platform is making HIV data accessible in South Africa. JSI shares an example of low-tech but high-impact dashboard development and coaching that has transformed districts in Zimbabwe.
11
4
Sun Coast Remediation
Michell Muldrow
Columbia Southern University
Research Methods
Todd Senft
August 10, 2021
Research Objectives, Research Questions, and Hypotheses
This research is designed to provide an insight into a safe and healthier work environment for the employees working in hazardous and contaminated work sites that comes in contact with employees. This study's first and foremost objective is to find out any relationship between the microns or particulate matter and employee health. The second objective of the study under observation is to understand if the training has been successful and helpful in decreasing the effects of lost-time hours, and if they have been successfully working for employees, then how the lost-time hours can be predicted from the overall training cost. Another objective of the study is to find out if the collected data can be used to estimate the level of decibels for the work environment prior to putting the employees on work at the particular site. The fourth objective of the study is to determine if the new training program proves to be more effective than the previous one. The fifth objective of the research is to determine if the level of lead in the blood of employees working there has increased. The last objective of the research understudy is to find out if there are any differences in all the lines of services for the return of investment.
Research Questions and Hypothesis
Upon reviewing the data collected, we can induce the following research questions and hypotheses for each of the questions under observation to provide us with the research objective, question, null hypothesis, and alternative hypothesis of the corresponding statement.
RO1: To determine if there is a relationship between microns and the health of employees on site.
RQ1: Is there a relationship between particulate matter and employee health?
Ho1: There is no statistically significant relationship between the annual sick days per employee and microns on site.
Ha1: There is a statistically significant difference between microns on-site and annual sick days per employee.
RO2: To determine if lost-time hours have been reduced by training.
RQ2: Is the training successful in determining the lost-time hours?
Ho2: Training and lost-time hours have no statistically significant relationship.
Ha2: There is a statistically significant relationship between training and lost-time hours.
RO3: To determine if the collected data can be used to predict the decibels levels of the work environment.
RQ3: Is it feasible to predict the decibels levels of the work environment from the data collected?
Ho3: A decibel level of the work environment cannot be predicted statistically from the collected data.
Ha3: A decibel level of the work environment can be predicted statistically from the collected data.
RO4: To determine whether the new training program has been effective than the previous ones.
RQ4: Is the revised training program ...
11
4
Sun Coast Remediation
Michell Muldrow
Columbia Southern University
Research Methods
Todd Senft
August 10, 2021
Research Objectives, Research Questions, and Hypotheses
This research is designed to provide an insight into a safe and healthier work environment for the employees working in hazardous and contaminated work sites that comes in contact with employees. This study's first and foremost objective is to find out any relationship between the microns or particulate matter and employee health. The second objective of the study under observation is to understand if the training has been successful and helpful in decreasing the effects of lost-time hours, and if they have been successfully working for employees, then how the lost-time hours can be predicted from the overall training cost. Another objective of the study is to find out if the collected data can be used to estimate the level of decibels for the work environment prior to putting the employees on work at the particular site. The fourth objective of the study is to determine if the new training program proves to be more effective than the previous one. The fifth objective of the research is to determine if the level of lead in the blood of employees working there has increased. The last objective of the research understudy is to find out if there are any differences in all the lines of services for the return of investment.
Research Questions and Hypothesis
Upon reviewing the data collected, we can induce the following research questions and hypotheses for each of the questions under observation to provide us with the research objective, question, null hypothesis, and alternative hypothesis of the corresponding statement.
RO1: To determine if there is a relationship between microns and the health of employees on site.
RQ1: Is there a relationship between particulate matter and employee health?
Ho1: There is no statistically significant relationship between the annual sick days per employee and microns on site.
Ha1: There is a statistically significant difference between microns on-site and annual sick days per employee.
RO2: To determine if lost-time hours have been reduced by training.
RQ2: Is the training successful in determining the lost-time hours?
Ho2: Training and lost-time hours have no statistically significant relationship.
Ha2: There is a statistically significant relationship between training and lost-time hours.
RO3: To determine if the collected data can be used to predict the decibels levels of the work environment.
RQ3: Is it feasible to predict the decibels levels of the work environment from the data collected?
Ho3: A decibel level of the work environment cannot be predicted statistically from the collected data.
Ha3: A decibel level of the work environment can be predicted statistically from the collected data.
RO4: To determine whether the new training program has been effective than the previous ones.
RQ4: Is the revised training program ...
Pathway to Practice: Incorporating Evidence into Military Family ServicesMFLNFamilyDevelopmnt
This 90-minute webinar will assist service professionals in "bridging the gap" between research and practice. We encourage you to join us in learning how our data can be applied to our everyday work with clients.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Impact of Work life balancing (WLB) practices on employee performance
1. STUDY ON WORK LIFE BALANCING (WLB)
PRACTICES AND EMPLOYEE
PERFORMANCE
IN SC PLC.
Presented By : M. Kajan
Research No. : 5877
Student Reg. No. : T/PQHRM/105/104/19
1
2. CONTENTS
• Problem Statement
• Objectives
• Methodology
Conceptual Framework
Hypothesis
Population & Sample
Data Collection
Analytical tools
Issues & Limitations
• Analysis & Presentation
• Testing of Hypothesis
• Conclusion & Recommendation
• Suggestions for future researchers
2
3. Reasons for starting up this research…
Increasing trend of tardiness observed from employees
Frequent leave requests coming from the employees for the
personal reasons
Involvement of female employees in the work force drastically
declining
Grievances and complaints
Personal interest to conduct a research on a latest hot topic
3
4. 4
USA Denmark Luxembourg Norway Sweden
Population
(in millions)
321.4 5.7 0.6 5.2 9.8
Patents (Rank)
– 2015 WIPO
2 19 31 27 13
7. OBJECTIVES……….
General
To find the effect of work-life balancing practices (such as WLB
policies, Supervisor support and corporate culture) on employee
performance
Specific
To study WLB practices and factors available in SC PLC and their effectiveness.
To identify work-Life balance challenges faced by employees of SC PLC.
To identify the influence of imbalance Work-Life practices on organizational
performance of SC PLC, and the social life of its employees.
To make recommendation to SC PLC based on the observations on available
WLB practices and how they affect the organizational performance
7
8. Support for WLB Practices
Organizational Culture
Organizational Policies
INDEPENDENT VARIABLES
WORK LIFE
BALANCE
(WLB)
METHODOLOGY
Job Performance
DEPENDENT VARIABLE
8
9. VARIABLES TESTED
Organizational
Policies
Organizational
Culture
Support for
WLB Practices
Work life
balance (WLB)
Job
Performance
Availability Team spirit WLB issues
communication
Utilization of
WLB practices
Achieving
Targets
Policy
communicatio
n
Family friendly
culture
Room to
discuss
personal
matters
Satisfaction of
employee on
WLB policies
Motivation (Self-
directed; extra
work; positive
attitude)
Adequacy Suitable
environment
Support for
Balancing
work-life
Motivated by
WLB policies
Quality
Acceptance Punctuality
Commitment
9
11. POPULATION & SAMPLE
Total Population was 40
Adopted the sample size determination
formula by Mugenda & Mugenda (2003)
Sample size was calculated at 95% confidence
level and 5 confidence intervals
Estimated sample size : 36
Responses received : 34
Convenience sampling technique
Voluntary participation
11
12. DATA COLLECTION
Primary – Self administered
questionnaire
Secondary- Supervisor comments
ANALYTICAL TOOLS
Statistical Software- SPSS
Graphical Illustration – office package
(For power point only)
12
13. ISSUES & LIMITATIONS
Decoding errors of the respondents
Fear to provide genuine response
Lack of confidence over Management
Limited No. of respondents
Peer influence on feedbacks
Missing data of some other influencing
factors
13
14. ANALYSIS & PRESENTATION
• Frequency Analysis on Demographic
factors
• Frequency analysis for Likert scale
responses for each factor , related with
Employee performance
• Outcome of the SPSS Analysis
(correlation)
• Ranking of factors on priority basis
14
15. DEMOGRAPHIC FACTORS
Based on the frequency % figures graphical
presentation was done for the demographic factors of,
Gender distribution
Distribution of age groups
Distribution of marital status & No. of Children
Distribution of job type
Distribution of past experience
Distribution of educational level
Distribution of distance from home to office
15
56%
44%
Gender
Male
Female
27%
44%
29%
Age
18-30 Years
31-45 Years
46-60 Years
24%
3%
29%
35%
9%
Unmarried
No Children
One child
Two Children
Three children
20
10
4
0 5 10 15 20
Clerical
Executive
Managerial
Job Type
10
18
6
0-5 Years 6-10 Years Above 11
Past Experience
4
10
12
8
0 5 10 15
O/L
A/L
Degree
PostGrad
Educational Level
6
14 14
0-10 km 11-20
km
Above
20 km
Distance from Home
to Office
16. FREQUENCY ANALYSIS FOR LICKERT
SCALE RESPONSES FOR EACH
FACTOR• Analysis done based on the frequency % for each respondent obtain
in par with the Likert scale value.
• Responses were tabulated as per the lickert scale values,
• In-between positive questions few negative questions also raised in
the questionnaire to avoid the errors.
• In negative questions the lickert scale was reversed
• For facts that was not involved in the Pearson correlation, If average
score is above 3 it was considered as agreed
Lickert scale Value
Strongly Agreed 5
Agreed 4
Neither Agreed nor disagreed 3
Disagreed 2
Strongly disagreed 1
16
17. AVAILABLE WLB PRACTICES IN SC
PLC
Question # Criteria Availability
14,15 Flexi Hours
16 Transport Arrangements
17 Healthcare facility
18 Support for studies
19 Paid time-off facility
20 Occupational safety measures
21 Company sponsored family events
22 Pooled leave arrangements
23 Recreational facility
24 WLB counselling
17
✓
✓
✓
✓
✓
✘
✘
✘
✘
✘
18. Intermediate variable
/ Independent variable Satisfaction Motivation by
WLB policiesDependent
WLB Policy Availability
WLB Policy Adequacy
WLB Policy Grievances
Communicating WLB issues with Supervisor
Room to discuss personal matters with
Supervisor
Supervisor support for work-life balancing
Conducive environment
Punctuality
18OUTCOME OF THE SPSS DATA
ANALYSISFollowing correlations found during the Pearson
correlation analysis done using the SPSS
software
Yellow letters – Negative questions
✓
✓
✓
✓
✓
✓
✓
✓
20. FACTORS RANKED BY EMPLOYEE SCORE
AND PERFORMANCE CORRELATION
Factors that influence the performance was ranked from the
most important to the least important using the Average
performance score given by the supervisor for each individual
participant
1. Room to discuss personal matters
2. WLB policy communication
3. Family friendly Culture
4. Availability of WLB Policy
5. Supervisor support for WLB
6. Adequacy of WLB policy
7. No grievances with existing WLB policy
8. Supervisor Communicate WLB Issues with Subordinates
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21. TESTING OF
HYPOTHESISBased on the out come of the Pearson correlation analysis
following positive relationships were found.
So, Alternative hypothesis was accepted indicating a positive
relationships as,
There is a correlation between employee performance and
WLB policies
There is a correlation between employee performance and
WLB practices
There is a correlation between employee performance and
WLB supportive environment
One alternative hypothesis was rejected as the outcome
showed negative relationship between the two factors.
Accordingly, it concluded that there is no correlation between
the team spirit and employee performance
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22. CONCLUSION &
RECOMMENDATIONS
Conclusion
Achievement
of objectives
Acceptance of
hypothesis
Acceptance of
the importance
of WLB
policies
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Recommendations
Improve WLB practices
and policies at national
level
Improve female
participation in workforce
Improve commitment and
innovation
23. SUGGESTIONS FOR FURTHER
STUDIES
Search for some other missed factors
Try to extract the gender specific data and
identify the hidden patterns
Expand the study in more methodical way
to identify the major WLB practices and
policies that could give high ROI
Expand the study to various types of other
organizations
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