It is proved from the literatures that, perceptual factors have a great influence on employees’ job performances in organization. The current study tried to sort out some crucial perceptual factors affecting employees’ job performance. The study developed 28 perceptual items based on FGD and literature analysis such as decision making, learning, orientation, training, engagement, evaluation policy etc. Then a proposed perceptual model had been developed. A structured questionnaire was surveyed among the selective respondents (n=500); then tested the items’ reliability and passed (α = .789); after that, the study went for exploratory factor analysis (EFA). Total seven (7) factors (Perceived HR practice; Perceived performance appraisal; Perceived supervisor’s quality & leadership; Perceived work environment & climate; Perceived organizational support; Perceived work pressure; and Perceived compensation plan) were identified. Finally, in confirmatory factors analysis (CFA) testing, one of those factors named Perceived compensation plan (PCP) fall short to pass the validity from the model.
Keywords: Employee perception, Perceptual factors, Perceptual model, Garment workers, Factor analysis, Bangladesh.
Received: 16 October 2018 / Revised: 30 November 2018 / Accepted: 4 December 2018/ Published: 28 March 2019
This study is one of very few studies which have investigated a perceptual model based on any under developing & developing country whose labor markets are unstructured and chaotic. So the paper will provide a fare idea to the entrepreneurs and managers who are interested to deal with such labor markets like Bangladesh.
Perception is a process of consciousness of an object of nervous system and the modern organizations integrate the knowledge from employees and convert it into goods and services (Grant, 1996). But the objective cannot be achieved unless there is a significant collaboration among individuals or employees and the organization or industries at any level. The reason behind this is employees’ perception become very important for the organization. The components of employee perception support the organization to develop both the employee effectiveness and organizational performance (Howell and Frost, 1989; Pearce and Ensley, 2004).
Bernanke and Parkinson (1991) stated that, positive employee perception is a crucial factor of existence, development and growth of any organization. On the other hand, negative employee perceptions of the company and the work environment can cause qualified employees to seek opportunities elsewhere. The employees are also concerned about themselves in return for doing a good job; such as adequate pay, good working conditions, training and development, security of job, certain amounts of appreciation, power and prestige, Stoner et al. (2002) and those issues are a part of job performance & insecurity. The job insecurity is correlated with huge amount of work-related concern and can reduce employee’s organizational commitment (Ogwueleka and Udoudoh, 2018).
Individual & organizational perceptual factors had impacts on employee behaviour (Chan et al., 2005).
Gray et al. (2012) stated that, mind perception is the substance of integrity. Moral judgements are ingrained in pair of perceived minds those are a patient and an agent. Various researches have been conducted on employees’ perceptual factors such as workplace safety, perceived organizational support (POS), workplace, proper HR practice, leadership empowerment, leadership behaviour, supervisor’s support, award and incentives program, financial benefits, psychological empowerment towards job performance & satisfaction; the study shows affirmative and significant relationship among those variable (Atkinson and Lucas, 2013; Mcfarlin and Coget, 2013; Piening et al., 2014). Gregory et al. (2010) however, flawed training & management system, affiliation between communication and peer relationships, create negative perception towards employees’ development and commitment (Horan and Chory, 2009; Rahman and Rahman, 2013).
Based on above discussion, the study was intended to focus on employee perception as major variable towards job performance. For that consequence the study developed a two-step process. In step-1 a perceptual model was developed based on literature support, where 28 items were picked up and sort out the most dominant factors through exploratory factor analysis (EFA). Finally in step-2 the study tried to validate the model by using confirmatory factor analysis (CFA).
2.1. Work Pressures & Policies
Khalid and Ahmed (2016) stated that perceived organizational politics creates the organizational environment risky & uncertain and Employee’s attitudes, feelings, cognitions, behaviors and perceptions, are influenced by those types of organizational uncertainty (Van den Bos and Lind, 2002) which are shocking for employees (Van den Bos and Miedema, 2000) and they couldn’t manage the circumstances and the outcomes (Tangirala and Alge, 2006). The reasons cause reduced job performance, job attitudes (job satisfaction and commitment), increased turnover intention, job neglect etc. (Vigoda, 2000; Ferris et al., 2002). A study on truck accident revealed that job pressure has positive relationship with road accident (Belzer, 2018).
2.2. Work environment
Work environment positively affects employees attitudes and behaviors (Verquer et al., 2003; Kristof-Brown et al., 2005; Hoffman and Woehr, 2006) perception and performance (Blumberg and Pringle, 1982; Peters et al., 1985; Olson and Borman, 1989) and also both Person-organization and Person–Job fit have strong, but distinct impacts on individual attitudes and behaviors (Kristof-Brown et al., 2005) where Person–Organization fit is strongly associated with organizational commitment and turnover, and high Person–Job fit is associated with high levels of job satisfaction.
2.3. Work Climate
An ethical and sound work environment and climate guides to more trust about the organization, stronger employee attachment, lower of absenteeism and turnover rate, higher scale of productivity, and again from the employees there is a more positive attitude (Sims and Keon, 1997) & job satisfaction (Tomaževič et al., 2018) toward the job (Viswesvaran and Ones, 2002) find a positive relationship between organization’s ethical climate and employee job satisfaction. Again social reputation of corporation is indirectly evaluated the job satisfaction and lower employee turnover (Riordan et al., 1997). If employees understood that they are treated by fair process, they will react positive attitudes and behaviors to the organization (Coyle-Shapiro et al., 2004c). Otherwise extreme dissatisfaction will be perceived if the process is not fair enough (Skarlicki and Folger, 1997).
2.4. HR Practice
HR practices as critical determinants in eliciting employees’ perception as supportive of organizational goals (Ostroff and Bowen, 2000). Employee perceptions, attitudes, and behaviors are shaped by good HR practices. Employee attitudes and behaviors, HRM implementation in HR practices has a particular consequence (Den Hartog et al., 2013; Woodrow and Guest, 2014). Strategic HRM study has (try) to find the methods for bringing about employee perception and organizational outcomes (Kehoe and Wright, 2013) because by taking employee perceptions of HR practices to the foreground (Boon et al., 2011; Guest, 2011) for making attributions about HR practices there has been an increasing emphasis placed on the psychological processes (Nishii et al., 2008). Several Strategic HRM studies show that good HR practices are positively and significantly related to various types of outcomes such as performance and commitment (Huselid, 1995; Ramsay et al., 2000) but various research suggests, individuals’ perceptions of HR practices in organizations are different (Gerhart et al., 2000; Wright et al., 2001).
2.5. Perceived organizational Support (POS)
Eisenberger et al. (1986) stated that Perceived organizational support (POS) is the employees’ perception to organization’s commitment to them that reflects their beliefs how organization values their hard works, contributions and be concerned about their welfare. So POS is a major indicator of employees’ perception (Kiewitz et al., 2009; Zagenczyk et al., 2010) and employees’ knowledge enhancement (Yang et al., 2018). Wiesenfeld et al. (2001) argue that supportive organization enhances employees’ feeling of being included, central, valued and respected, which in turn directed to a stronger conviction to the organizational participation and that’s why employee will experience a responsibility to pay back the organization through positive attitudes, behavior, perception (Eisenberger et al., 1990; Coyle-Shapiro et al., 2004c).
2.6. Employee Engagement
Employee engagement is a key challenge in lean culture (Weerasooriyan and Alwis, 2017) like Bangladesh. Employee engagement defines the employee’s cognitive, emotional and behavioral status that leads to preferred organizational outcomes (Shuck and Wollard, 2010) and beneficial for management policies (Johnson et al., 2018) which is important for successful organizational effectiveness and performance (Xanthopoulou et al., 2009). Employee engagement is one of the positive organizational behaviors (Jeung, 2011) which is the employee’s state of mind of fulfilling, positive, and work-related and it is described by dedication, vigor and absorption (Schaufeli et al.,2006). A fully engaged employee will confidently accomplish high-quality attitude, behavior, perception and performance (Bechtoldt et al., 2011). That’s why employee engagement is directly related with job satisfaction, organizational commitment, and negatively related to turnover intention and burnout (Albrecht and Andreetta, 2011; Shuck et al., 2011).
2.7. Supervisor & Leadership
For developing employees’ perceptions to the organization, supervisors play an important role (DeConinck and Johnson, 2009) and also influence employees’ behaviors and attitudes (Van Vianen et al., 2011). When social relationship bind between the employee and the supervisor by obligations, socio emotional resources, trust, Dysvik and Kuvaas (2013) that enhanced employees’ work motivation, attitudes and behavior (Gerstner and Day, 1997) and give back with more favorable attitudes toward their employer (Meyer and Allen, 1991).
Many studies suggests that the employee’s attitudes and behavior directly affected by the trust of the supervisor (Perry and Mankin, 2004) and an authentic leadership directly affected employees’ perception and job satisfaction, organizational commitment (Dirks and Ferrin, 2002). For those consequences, employees are willing to engage in the risk taking attitudes and behavior, believing in the leader’s integrity, ability, and benevolence (Mayer et al., 1995) and maximization of long-term strategic leadership will assist senior executives (Keeton, 2018) for better performance in organization.
2.8. Performance Appraisal
For analyzing, obtaining and recording information about an employee worth is also called performance appraisal (Dowling and Welch, 2009). Several literatures suggest that this procedure has important consequence on employee attitude and perception (Bowen and Ostroff, 2004) and good performance & efficiency in workplace (Cropanzano et al., 2007; Sabiu et al., 2018). The fairness of performance appraisal positively effects on employee’s perception and procedural fairness and monetary benefits are significant predictors of job satisfaction and employees performance (Tyler et al., 1985). Mullins (2007) argues that employee perception will be helpful if the employees understand that the performance appraisal system is useful for getting feedback that’s lead to improve their job performance and job satisfaction. Another important factor for influencing the employee perception is the pay and raise (Mullins, 2007) which has significant impact on worker’s perception.
2.9. Compensation Plans
Most of the studies has focused on (i) investigating outcomes of compensation plans and programs (Stone and Ziebart, 1995) (ii) how pay (Meyer, 1975; Ost, 1990) or goal-setting relate to performance and (iii) studies related to effective or ineffective compensation plans and those factors affecting the efficiency that employees are keen to apply to succeed in an award or incentive program (Ogwueleka and Udoudoh, 2018).
2.10. Psychological Empowerment
Psychological empowerment has mediating effects (Albrecht and Andreetta, 2011; Dewettinck and Van Ameijde, 2011) on employee and the empowered employees are more dedicated to their organization and work (Bordin et al., 2006). Through this psychological empowerment mechanism; organizational policies, practices, and structures influence employee’s attitudes and behaviors (Spreitzer, 1995) and also directly influences organizational commitment, job satisfaction (Seibert et al., 2004).
Step-1: Perceptual model development
To develop a model, the study went through many related literatures and it was an extensive review of different international and national researches. 5 items have been generated from the authors’ previous research (Khan et al., 2017). Rest of the 23 items were developed from literature. Finally, 28 items are picked up and found coherent for this particular study.
3.1. Methodology of Step-1
After having the items, the study developed a proposed model of perception based on different literature review. The proposed model is showed in Figure 1 (Please see the appendix). After furnishing in total 28 items the study prepared a structured questionnaire which contained two parts. In 1st part contained demographic information such as age, gender, education, designation, years of experience. In 2nd part, a Likert scale of seven points was established, where 1 denoted strongly disagree and 7 denoted strongly agree. Then the questionnaire surveyed to different garment employees in Bangladesh as per convenient sampling technique basis.
Figure-1. Proposed model of perceptual factors (Based on literature & authors’ observation).
Source: Authors’ observation from literatures.
3.2. Respondents & Process
The sample size was set as 500 employees from various garments in Bangladesh under non probability convenient sampling method; whereas, only 490 responses found suitable for the study (n= 490). The demographic characteristics of data consisted of different types of full time, part time, and contractual employees from various garments. The respondents consisted (n=490) where (n=366, 74.69%) were male and (n=124, 25.31%) were female, with having average age of 47.57 years. The education standard of the participants were below Secondary School Certificate level (n=260, 53.06%); SSC or equivalent (n=96, 19.59%); Higher Secondary Certificate (n=88, 17.96%); and graduate or above (n=46, 9.39%). The average year of experience of the job displayed 4.631 years. The respondents’ designation showed as General Manager (n=3),Assistant Manager (n=7),Admin Officer (n=11), Accounts (n=15),Executive officer (n=6),Store officer (n=2),Delivery officer (n=4),Booking officer (n=2),Contract Merchandiser (n=9),Supervisor (n=23),Technician (Master & Junior) (n=25),Designer (n=1),Line man (n=14), Cutting; Knitting; Finishing; Dying; Iron Operator (n=211), Quality Inspector (n=41), Helper (n=71), Security Guard (n=27),Sales & Distribution (n=37),Packaging (n=2), Checker (n=6). The data were collected completely voluntary basis from the employees. All of them were filled data at their suitable places of contracting.
3.3. Data Analysis (Step-1)
Upon collecting data, the study went for a reliability (Cronbach’s alpha) testing to observe the consistency of data set and, after passing the consistency test; the study went for an exploratory factor analysis (EFA) where the sample size was considered as (n=490).
3.3.1. Exploratory Factor Analysis (EFA)
To apply EFA the study went to investigate the data suitability through Kaiser Mayer-Olkin (KMO) test and Bartlett’s test of sphericity. The KMO value was observed as 0.884; KMO value more than 0.6 is suitable for EFA and about to 0.9 or above is excellent (Kaiser, 1974; Hutcheson and Sofroniou, 1999; Tabachnick and Fidell, 2001) and the Bartlett’s test result showed significant ( χ2 = 4424.294; p ˂ .001) as well for the EFA.
After running the factor analysis with 28 items the eigen value of all the 7 revealed factors were more than 1 where the first three factors’ eigen value were respectively 7.260, 2.184, & 1.966 and the total variance explained from the model was determined as 58.303%. The Cronbach's Alpha of 28 items was .879 which means data were goody consistent (Cortina, 1993; George and Mallery, 2003).
Table-1. Obtained factors’ named, mean, standard deviation, and factor loading from EFA (n=490).
Principal Component Analysis |
||||||
Perceptual factors |
Variables |
Step-1 |
||||
Mean |
SD |
Loading |
Alpha (α) |
|||
Perceived HR practice |
1. Decision Making |
4.51 |
1.84 |
0.875 |
||
2. Learning & Growth |
4.34 |
1.83 |
0.766 |
|||
3. Employee orientation |
4.83 |
1.64 |
0.632 |
|||
4. Selecting for training |
5.06 |
1.46 |
0.609 |
|||
5. Career development |
5.23 |
1.44 |
0.606 |
0.847 |
||
6. Confident building |
5.09 |
1.52 |
. |
|||
77 |
||||||
7. Performance based remuneration |
5.26 |
1.45 |
0.528 |
|||
Perceived performance appraisal |
8. Data documentation of performance |
4.41 |
1.63 |
0.667 |
0.747 |
|
9. Informed evaluation method |
4.37 |
1.66 |
0.638 |
|||
10. Performance feedback |
3.53 |
1.85 |
0.628 |
|||
11. Building individual/team behavior |
4.9 |
1.84 |
0.525 |
|||
12. Clear appraisal system |
4.97 |
1.72 |
0.502 |
|||
13. Performance based appraisal system |
4.69 |
1.58 |
0.409 |
|||
Perceived supervisor’s quality & leadership |
14. Supervisor’s attentiveness to employee |
4.98 |
1.48 |
0.733 |
0.742 |
|
15. Employees’ Engagement |
4.67 |
1.68 |
0.721 |
|||
16. Supervisor’s supports & suggestions |
4.71 |
1.64 |
0.522 |
|||
17. Satisfaction on work environment |
5.29 |
1.61 |
0.792 |
|||
Perceived work environment & climate |
18. Fair performance evaluation |
4.87 |
1.59 |
0.708 |
0.733 |
|
19. Being valued by organization |
4.94 |
1.53 |
0.509 |
|||
20. Regular performance observation |
4.81 |
1.57 |
0.709 |
|||
Perceived organizational support |
21. Supportive Team |
4.62 |
1.41 |
0.641 |
0.745 |
|
22. Organization’s expectation |
4.37 |
1.54 |
0.615 |
|||
23. Organization’s support for improvement |
5.03 |
1.34 |
0.443 |
|||
Perceived work pressure |
24. Workload |
4.89 |
1.44 |
0.648 |
0.648 |
|
25. Meeting goal and objective |
4.72 |
1.46 |
0.599 |
|||
26. Problem addressing |
4.97 |
1.45 |
0.467 |
|||
Perceived compensation plan. |
27. Experience based promotion |
3.58 |
2.07 |
-0.64 |
-0.968 |
|
28. Performance based compensation |
5.11 |
1.93 |
0.538 |
***N.B The (α) value of Perceived compensation plan (CP) is negative because a negative average covariance among items.
Source: Authors’ calculation through SPSS (v, 22).
Table 1 obtained name and alpha (α) value of indentified seven different factors which affecting employee perception from 28 selected items. The obtained seven factors were named as Factor-1: Perceived HR practice; Factor-2 : Perceived performance appraisal ; Factor-3 : Perceived supervisor’s quality & leadership ; Factor-4 : Perceived work environment & climate ; Factor-5 : Perceived organizational support ; Factor-6 : Perceived work pressure ; and Factor-7 : Perceived compensation plan along with the mean, standard deviation, and factor leading of each items.
3.3.2. Correlation Matrix
Table 2 contain the seven unearth perceived factors and they correlated to each other and the relationship showed all the relationship were significant at 1% ( 0.01 level of significance) level except the relationship between work pressure and HR practice & the relationship between compensation and HR practice are significant at 5% (0.05) level of significance.
Table-2. Component Correlation Matrix (Extract seven factors).
Component |
HP |
PA |
SQL |
WEC |
POS |
WP |
CP |
HR Practice (HP) |
1 |
||||||
Performance appraisal (PA) |
.383** |
1 |
|||||
Supervisor’s quality & leadership (SQL) |
318* |
.223** |
1 |
||||
Work environment & climate (WEC) |
.436** |
.504** |
.431** |
1 |
|||
Perceived Organizational Support (POS) |
.385** |
.402** |
.270** |
.414** |
1 |
||
Work pressure (WP) |
325* |
.295** |
.431** |
.413** |
.341** |
1 |
|
Compensation Plan (CP) |
.105* |
.263** |
.135** |
.178** |
.148** |
.149** |
1 |
**. Correlation is significant at the 0.01(1%) level (2-tailed).
*. Correlation is significant at the 0.05 (5%) level (2-tailed).
Source: Authors’ calculation through SPSS (v, 22).
The above table revealed factors are positively correlated to each other.
3.3.3 Step-1: Discussion to Result
In step-1the study determined 28 items for scale development based on extensive literature review and develops a proposed model of perceptual factors affecting employee’s job behaviour; where eleven factors were expected as influential factors. However, after the EFA result seven factors were indentified and the identified model is showed in Figure 2 (Please see the appendix).
Figure-2. Factors unearth from EFA result (Based on calculation).
Source: Authors’ calculation from EFA through SPSS (v, 22).
Table 3 define the unearth factors.
Table-3. Names & Definitions of obtained factors from perceptual model.
Factor names | Definition |
One: Perceived HR practice (PHRP) | Concerned with organization’ decision making, learning & growth, orientation, training, motivation, and performance based remuneration activities. |
Two : Perceived performance appraisal (PPA) | Concentrate on as how well the organization designed its overall performance appraisal and focusing more on performance based clear and fare appraisal system. |
Three : Perceived supervisor’s quality & leadership (PSQL) | Define as the overall supervisors’ leading & motivational quality to their subordinates. |
Four: Perceived work environment & climate (PWEC) | Address the employee satisfaction both the physical and psychological aspect of employees towards working environment. |
Five: Perceived organizational support (POS) | How well the organization support to its employees through team building, employee development, and day by day performance observation along with constructive feedback. |
Six : Perceived work pressure (PWP) | Speak about overall workload, meeting goal pressure along with problem addressing. |
Seven: Perceived compensation plan (PCP) | How the employees get compensated and promoted to their various career sages. |
3.4. Validate the indentified model (Step-2)
The purpose of this step was to authenticate the indentified model revealing from the EFA, a fitness test of the model was tested through a confirmatory factor analysis (CFA) by SPSS (v, 22) and Amos (v, 20).
3.4.1. Method (Step-2)
SPSS Amos (v, 20) was used to run the fitness test of the model. The study basically tried to observe the variance among the factors, which were generated from step-1. The participants of the model were same respondents (n=490) who responded in EFA.
3.4.2. Data Analysis (Step-2)
To check the fit of CFA model, the first tested CMIN/DF the rules of thumb for the test is ˂ 3 ratio should be acceptable (Wheaton et al., 1977; McIver and Carmines, 1981) some other study also recommended the level of acceptance ration can be low as 2 or as high as 5 (Marsh and Hocevar, 1985). The study also used few more additional fit test indexes such as IFI (Incremental Fit Index), Then CFI (Comparative Fit Index), GFI (Goodness-of-fit index), Adjusted Goodness-of-fit index (A)GFI, Root Mean Square of Approximation (RMSEA), and (Standardized) Root Mean Square Residual (SRMR). Indices Ideal Value Recommended by Model Fit Indices, CFI ≥ 0.95 (Hu and Bentler (1999). GFI > .80 Hair et al. (2015) ≤ 0.90; Hooper et al. (2008) ≤ 0.95 Shevlin and Miles (1998) AGFI ≥ .80 Hair et al. (2015) ≤ 0.90; Hooper et al. (2008) RMSEA ≤ 0.05 Hooper et al. (2008) ˂ 0.07 Steiger (2007) ˂ 0.08 MacCallum et al. (1996) SRMR ≤ 0.05 Hooper et al. (2008) ˂ 0.08 Hu and Bentler (1999).
3.4.3. Results (CFA) & Discussion (Step-2)
As the sample sizes were same for both the EFA & CFA so the study showed the data were internally consistent in Table 1. The following Figure 1 shows the CFA model result generated from Amos (v, 20) output. Form the EFA the study indentified seven factors for the model but perceived compensation plan was not find suitable for the CFA. So the study eliminated that factor and then run a CFA. Figure 3 shows the confirmatory factor analysis (CFA) model in appendix Figure 3.
Figure-3. The CFA model, perceptual factors’ variances & items’ parameter.
Source: Authors’ calculation through SPSS AMOS (v, 20)
The model fit summary for the CFA showed the fitness level of the model as follows X2 = 603.764; df (Degree of freedom) = 281; X2/df (CMIN/DF) = 2.141; Probable level (p) ˂ .001; IFI = .92; CFI= .919, GFI = .915; (A)GFI = .90; and RMSEA = .048 (4.8%). Kline (2005) recommended model chi square, CFI, RMSEA should be minimum requirements of fitness test of model.
As per literature it was proved that the good perception towards organization can create better productivity, economic growth, employee commitment, job satisfaction and so on (Gallie and White, 1993; Mcfarlin and Coget, 2013; Piening et al., 2014). The authors pointed some major contribution of that study as follows
Some limitations should really be obtained and played a vital role of the study; otherwise the study would more obvious. The major limitations are addressed as; the convenient sampling technique may occur the response bias as many of them are working same organization. The study area was Dhaka zone there are some other garments factories located in different areas in Bangladesh where the researcher could not reach due to time and budget insufficiency. Respondents’ ignorance of perceptual issues would be another vital restraint of the study. The items development was based on literature; as the country perspective varies from country to country so the items development could be developed through FGD or observations of garments worker’s job behavior. In future study the model can be used to check the relationship between employee perception towards commitment, organizational citizenship behavior, job satisfaction, and do so. Besides the 28 items more items can be examined such as psychological empowerment, organization identity, uncertainty etc.
In this manuscript, the study developed 28 perceptual items based on FGD and literature analysis such as decision making, learning, orientation, training, engagement, evaluation policy etc. Then a proposed perceptual model had been developed. A structured questionnaire were made based on proposed model and surveyed by the related respondents to verify the model for Bangladeshi garments workers. The study found seven dominant factors which could affect the employees’ perception by using EFA but to certify the model the study used a CFA and found one factor named Perceived compensation plan (PCP) fall short to pass the validity from the model and finally six factors were retained in that perceptual model.
Finally, the researchers expect that the study will have a huge impact on labor market & organizational development. Especially, for under developing & developing country (as the perceived trends are expected to be more or less same) and be helpful for the supervisors & the managers to lead and to function smoothly the organizational activities and create a peaceful industry which is related to garment in those countries who have the same economic and labor market trend like Bangladesh.
List of abbreviation
EFA = Exploratory Factor Analysis
CFA = Confirmatory Factor Analysis
SPSS = Statistical Package for the Social Sciences
PHRP = Perceived HR practice
PPA = Perceived performance appraisal
PSQL= Perceived supervisor’s quality & leadership
PWEC = Perceived work environment & climate
POS = Perceived organizational support
PWP = Perceived work pressure
PCP = Perceived compensation plan
Funding: This study received no specific financial support. |
Competing Interests: The authors declare that they have no competing interests. |
Contributors/Acknowledgement: We first acknowledge the creator who gave us strengths & wisdom for learning. After that we acknowledge many unknown respondents & organizations for their valuable opinions & support to unearth the manuscript. We also show a very special acknowledgement to our beloved students of 32nd & 35th batch, BBA program, Department of Business Administration, City University for their tremendous effort for data collections. |
Albrecht, S.L. and M. Andreetta, 2011. The influence of empowering leadership, empowerment and engagement on affective commitment and turnover intentions in community health service workers: Test of a model. Leadership in Health Services, 24(3): 228-237.Available at: https://doi.org/10.1108/17511871111151126.
Atkinson, C. and R. Lucas, 2013. Worker responses to HR practice in adult social care in England. Human Resource Management Journal, 23(3): 296-312.Available at: https://doi.org/10.1111/j.1748-8583.2012.00203.x.
Bechtoldt, M.N., S. Rohrmann, I.E. De Pater and B. Beersma, 2011. The primacy of perceiving: Emotion recognition buffers negative effects of emotional labor. Journal of Applied Psychology, 96(5): 1087-1094.Available at: https://doi.org/10.1037/a0023683.
Belzer, M.H., 2018. Work-stress factors associated with truck crashes: An exploratory analysis. The Economic and Labour Relations Review, 29(3): 289-307.Available at: https://doi.org/10.1177/1035304618781654.
Bernanke, B.S. and M.L. Parkinson, 1991. Procyclical labor productivity and competing theories of the business cycle: Some evidence from interwar US manufacturing industries. Journal of Political Economy, 99(3): 439-459.Available at: https://doi.org/10.1086/261761.
Blumberg, M. and C.D. Pringle, 1982. The missing opportunity in organizational research: Some implications for a theory of work performance. Academy of Management Review, 7(4): 560-569.Available at: https://doi.org/10.2307/257222.
Boon, C., D.N. Den Hartog, P. Boselie and J. Paauwe, 2011. The relationship between perceptions of HR practices and employee outcomes: Examining the role of person–organisation and person–job fit. The International Journal of Human Resource Management, 22(01): 138-162.
Bordin, C., T. Bartram and G. Casimir, 2006. The antecedents and consequences of psychological empowerment among Singaporean IT employees. Management Research News, 30(1): 34-46.Available at: https://doi.org/10.1108/01409170710724287.
Bowen, D.E. and C. Ostroff, 2004. Understanding HRM–firm performance linkages: The role of the “strength” of the HRM system. Academy of Management Review, 29(2): 203-221.Available at: https://doi.org/10.5465/amr.2004.12736076.
Chan, M., I. Woon and A. Kankanhalli, 2005. Perceptions of information security in the workplace: Linking information security climate to compliant behavior. Journal of Information Privacy and Security, 1(3): 18-41.Available at: https://doi.org/10.1080/15536548.2005.10855772.
Cortina, J.M., 1993. What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1): 98-104.Available at: https://doi.org/10.1037//0021-9010.78.1.98.
Coyle-Shapiro, J.A.M., M.S. Taylor, L.M. Shore and L.E. Tetrick, 2004c. Commonalities and conflicts between different perspectives of the employment relationship: towards a unified perspective’. In Coyle-Shapiro, J. A. M., Shore, L. M., Taylor, M. S. and Tetrick, L. E. (Eds), The Employment Relationship: Examining Psychological and Contextual Perspectives: Oxford: Oxford University Press. pp: 119–131.
Cropanzano, R., D.E. Bowen and S.W. Gilliland, 2007. The management of organizational justice. Academy of Management Perspectives, 21(4): 34-48.
DeConinck, J.B. and J.T. Johnson, 2009. The effects of perceived supervisor support, perceived organizational support, and organizational justice on turnover among salespeople. Journal of Personal Selling & Sales Management, 29(4): 333-350.Available at: https://doi.org/10.2753/pss0885-3134290403.
Den Hartog, D.N., C. Boon, R.M. Verburg and M.A. Croon, 2013. HRM, communication, satisfaction, and perceived performance: A cross-level test. Journal of Management, 39(6): 1637-1665.Available at: https://doi.org/10.1177/0149206312440118.
Dewettinck, K. and M. Van Ameijde, 2011. Linking leadership empowerment behaviour to employee attitudes and behavioural intentions: Testing the mediating role of psychological empowerment. Personnel Review, 40(3): 284-305.Available at: https://doi.org/10.1108/00483481111118621.
Dirks, K.T. and D.L. Ferrin, 2002. Trust in leadership: Meta-analytic findings and implications for research and practice. Journal of Applied Psychology, 87(4): 611-628.Available at: https://doi.org/10.1037//0021-9010.87.4.611.
Dowling, P.J. and D.E. Welch, 2009. International human resource management. 4th Edn., London: Thomson Learning.
Dysvik, A. and B. Kuvaas, 2013. Perceived job autonomy and turnover intention: The moderating role of perceived supervisor support. European Journal of Work and Organizational Psychology, 22(5): 563-573.Available at: https://doi.org/10.1080/1359432x.2012.667215.
Eisenberger, R., P. Fasolo and V. Davis-LaMastro, 1990. Perceived organizational support and employee diligence, commitment, and innovation. Journal of Applied Psychology, 75(1): 51-59.Available at: https://doi.org/10.1037//0021-9010.75.1.51.
Eisenberger, R., R. Huntington, S. Hutchison and D. Sowa, 1986. Perceived organizational support. Journal of Applied Psychology, 71(3): 500-507.
Ferris, G.R., G. Adams, R.W. Kolodinsky, W.A. Hochwarter and A.P. Ammeter, 2002. Perceptions of organizational politics: Theory and research directions. In The many faces of multi-level issues. Emerald Group Publishing Limited. pp: 179-254.
Gallie, D. and M. White, 1993. Employee commitment and the skills revolution. London: PSI Publishing.
George, D. and P. Mallery, 2003. SPSS for Windows step by step: A simple guide and reference. 11.0 update. 4th Edn., Boston: Allyn& Bacon.
Gerhart, B., P.M. Wright and G.C. McMahan, 2000. Measurement error in research on the human resources and firm performance relationship: Further evidence and analysis. Personnel Psychology, 53(4): 855-872.Available at: https://doi.org/10.1111/j.1744-6570.2000.tb02420.x.
Gerstner, C.R. and D.V. Day, 1997. Meta-analytic review of leader–member exchange theory: Correlates and construct issues. Journal of Applied Psychology, 82(6): 827-844.Available at: https://doi.org/10.1037/0021-9010.82.6.827.
Grant, R.M., 1996. Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(S2): 109-122.Available at: https://doi.org/10.1002/smj.4250171110.
Gray, K., L. Young and A. Waytz, 2012. Mind perception is the essence of morality. Psychological Inquiry, 23(2): 101-124.Available at: https://doi.org/10.1080/1047840x.2012.651387.
Gregory, B.T., M.D. Albritton and T. Osmonbekov, 2010. The mediating role of psychological empowerment on the relationships between P–O fit, job satisfaction, and in-role performance. Journal of Business and Psychology, 25(4): 639-647.Available at: https://doi.org/10.1007/s10869-010-9156-7.
Guest, D.E., 2011. Human resource management and performance: Still searching for some answers. Human Resource Management Journal, 21(1): 3-13.Available at: https://doi.org/10.1111/j.1748-8583.2010.00164.x.
Hair, J.J.F., M. Wolfinbarger, A.H. Money, P. Samouel and M.J. Page, 2015. Essentials of business research methods. Routledge.
Hoffman, B.J. and D.J. Woehr, 2006. A quantitative review of the relationship between person–organization fit and behavioral outcomes. Journal of Vocational Behavior, 68(3): 389-399.Available at: https://doi.org/10.1016/j.jvb.2005.08.003.
Hooper, D., J. Coughlan and M. Mullen, 2008. Structural equation modelling: Guidelines for determining model fit. Articles, 2.
Horan, S.M. and R.M. Chory, 2009. When work and love mix: Perceptions of peers in workplace romances. Western Journal of Communication, 73(4): 349-369.Available at: https://doi.org/10.1080/10570310903279042.
Howell, J.M. and P.J. Frost, 1989. A laboratory study of charismatic leadership. Organizational Behavior and Human Decision Processes, 43(2): 243-269.
Hu, L.T. and P.M. Bentler, 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1): 1-55.Available at: https://doi.org/10.1080/10705519909540118.
Huselid, M.A., 1995. The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of Management Journal, 38(3): 635-672.Available at: https://doi.org/10.2307/256741.
Hutcheson, G.D. and N. Sofroniou, 1999. The multivariate social scientist: Introductory statistics using generalized linear models. Sage Publisher.
Jeung, C.W., 2011. The concept of employee engagement: A comprehensive review from a positive organizational behavior perspective. Performance Improvement Quarterly, 24(2): 49-69.Available at: https://doi.org/10.1002/piq.20110.
Johnson, A., H. Nguyen, M. Groth and L. White, 2018. Workplace aggression and organisational effectiveness: The mediating role of employee engagement. Australian Journal of Management, 43(4): 614-631.Available at: https://doi.org/10.1177/0312896218768378.
Kaiser, H.F., 1974. An index of factorial simplicity. Psychometrika, 39(1): 31-36.Available at: https://doi.org/10.1007/bf02291575.
Keeton, W., 2018. Command, leadership, intelligence and management (CLIM): A proposed theory for improved strategic leadership. FIIB Business Review, 7(2): 146-151.
Kehoe, R.R. and P.M. Wright, 2013. The impact of high-performance human resource practices on employees’ attitudes and behaviors. Journal of Management, 39(2): 366-391.Available at: https://doi.org/10.1177/0149206310365901.
Khalid, J. and J. Ahmed, 2016. Perceived organizational politics and employee silence: Supervisor trust as a moderator. Journal of the Asia Pacific Economy, 21(2): 174-195.Available at: https://doi.org/10.1080/13547860.2015.1092279.
Khan, M.R., M. Arafin and S.K. Hossain, 2017. The practice of basic HR functions in garments industry in Bangladesh: Focus group finding. Journal of Management and Sustainability, 7(3): 120-132.Available at: https://doi.org/10.5539/jms.v7n3p120.
Kiewitz, C., S.L.D. Restubog, T. Zagenczyk and W. Hochwarter, 2009. The interactive effects of psychological contract breach and organizational politics on perceived organizational support: Evidence from two longitudinal studies. Journal of Management Studies, 46(5): 806-834.Available at: https://doi.org/10.1111/j.1467-6486.2008.00816.x.
Kline, R.B., 2005. Principles and practice of structural equation modeling. 2nd Edn., New York: Guilford. pp: 366.
Kristof-Brown, A.L., R.D. Zimmerman and E.C. Johnson, 2005. Consequences of individuals'fit at work: A meta‐analysis of person–job, person–organization, person–group, and person–supervisor fit. Personnel Psychology, 58(2): 281-342.Available at: https://doi.org/10.1111/j.1744-6570.2005.00672.x.
MacCallum, R.C., M.W. Browne and H.M. Sugawara, 1996. Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2): 130-149.Available at: https://doi.org/10.1037//1082-989x.1.2.130.
Marsh, H.W. and D. Hocevar, 1985. Application of confirmatory factor analysis to the study of self-concept: First-and higher order factor models and their invariance across groups. Psychological Bulletin, 97(3): 562-582.Available at: https://doi.org/10.1037//0033-2909.97.3.562.
Mayer, R.C., J.H. Davis and F.D. Schoorman, 1995. An integrative model of organizational trust. Academy of Management Review, 20(3): 709-734.Available at: https://doi.org/10.2307/258792.
Mcfarlin, D.B. and J.F. Coget, 2013. Research briefs how does empowerment work in high and low power-distance cultures? Academy of Management Perspectives, 27(2).
McIver, J. and E.G. Carmines, 1981. Unidimensional scaling. Sage. pp: 24.
Meyer, J.P. and N.J. Allen, 1991. A three-component conceptualization of organizational commitment. Human Resource Management Review, 1(1): 61-89.Available at: https://doi.org/10.1016/1053-4822(91)90011-z.
Meyer, R.B., 1975. The pay-for-performance dilemma. Organizational Dynamics, 3: 39-50.
Mullins, J.L., 2007. Management and organizational behavior. 8th Edn., Edinburgh Gate, UK: Prentice Hall; Financial Times.
Nishii, L.H., D.P. Lepak and B. Schneider, 2008. Employee attributions of the “why” of HR practices: Their effects on employee attitudes and behaviors, and customer satisfaction. Personnel Psychology, 61(3): 503-545.Available at: https://doi.org/10.1111/j.1744-6570.2008.00121.x.
Ogwueleka, A.C. and F.P. Udoudoh, 2018. The impact of risk and reward dynamics in incentive compensation plans in the Nigerian construction industry. International Journal of Construction Management, 18(3): 247-259.Available at: https://doi.org/10.1080/15623599.2017.1315545.
Olson, D.M. and W.C. Borman, 1989. More evidence on relationships between the work environment and job performance. Human Performance, 2(2): 113-130.Available at: https://doi.org/10.1207/s15327043hup0202_3.
Ost, E.J., 1990. Team-based pay: New wave strategic incentives. MIT Sloan Management Review, 31(3): 19-27.
Ostroff, C. and D.E. Bowen, 2000. Moving HR to a higher level: HR practices and organizational effectiveness’. In Klein, K. J. and Koslowski, S. W. J. (Eds), Multilevel Theory, Research, and Methods in Organizations. San Francisco, CA: Jossey-Bass. pp: 211–66.
Pearce, C.L. and M.D. Ensley, 2004. A reciprocal and longitudinal investigation of the innovation process: The central role of shared vision in product and process innovation teams (PPITs). Journal of Organizational Behavior, 25(2): 259-278.Available at: https://doi.org/10.1002/job.235.
Perry, R.W. and L.D. Mankin, 2004. Understanding employee trust in management: Conceptual clarification and correlates. Public Personnel Management, 33(3): 277-290.Available at: https://doi.org/10.1177/009102600403300303.
Peters, L.H., E.J. O’Connor and J.R. Eulberg, 1985. Situational constraints: sources, consequences, and future considerations’, in G. R. Ferris and K. M. Rowlands (eds) Research in Personnel and Human Resources Management. Greenwich, CT: JAI Press. pp: 79–114.
Piening, E.P., A.M. Baluch and H.G. Ridder, 2014. Mind the intended-implemented gap: Understanding employees’ perceptions of HRM. Human Resource Management, 53(4): 545-567.Available at: https://doi.org/10.1002/hrm.21605.
Rahman, M. and A. Rahman, 2013. Employee perception towards effective training program: A study on some selective private commercial banks. European Journal of Business and Management, 5(12): 62-74.
Ramsay, H., D. Scholarios and B. Harley, 2000. Employees and high-performance work systems: Testing inside the black box. British Journal of Industrial Relations, 38(4): 501-531.
Riordan, C.M., R.D. Gatewood and J.B. Bill, 1997. Corporate image: Employee reactions and implications for managing corporate social performance. Journal of Business Ethics, 16(4): 401-412.
Sabiu, M.S., K.M. Kura, T.S. Mei, J.M.H. Raihan and W.A. Umrani, 2018. The mediating role of ethical climate in the relationship between performance appraisal and organizational performance. International Journal of Public Administration: 1-12.Available at: https://doi.org/10.1080/01900692.2018.1498105.
Schaufeli, W.B., A.B. Bakker and M. Salanova, 2006. The measurement of work engagement with a short questionnaire: A cross-national study. Educational and Psychological Measurement, 66(4): 701-716.Available at: https://doi.org/10.1177/0013164405282471.
Seibert, S.E., S.R. Silver and W.A. Randolph, 2004. Taking empowerment to the next level: A multiple-level model of empowerment, performance, and satisfaction. Academy of Management Journal, 47(3): 332-349.Available at: https://doi.org/10.5465/20159585.
Shevlin, M. and J.N. Miles, 1998. Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual Differences, 25(1): 85-90.Available at: https://doi.org/10.1016/s0191-8869(98)00055-5.
Shuck, B., J.T.G. Reio and T.S. Rocco, 2011. Employee engagement: An examination of antecedent and outcome variables. Human Resource Development International, 14(4): 427-445.Available at: https://doi.org/10.1080/13678868.2011.601587.
Shuck, B. and K. Wollard, 2010. Employee engagement and HRD: A seminal review of the foundations. Human Resource Development Review, 9(1): 89-110.Available at: https://doi.org/10.1177/1534484309353560.
Sims, R.L. and T.L. Keon, 1997. Ethical work climate as a factor in the development of person-organization fit. Journal of Business Ethics, 16(11): 1095-1105.
Skarlicki, D.P. and R. Folger, 1997. Retaliation in the workplace: The roles of distributive, procedural, and interactional justice. Journal of Applied Psychology, 82(3): 434-443.Available at: https://doi.org/10.1037/0021-9010.82.3.434.
Spreitzer, G.M., 1995. Psychological empowerment in the workplace: Dimensions, measurement, and validation. Academy of Management Journal, 38(5): 1442-1465.Available at: https://doi.org/10.5465/256865.
Steiger, J.H., 2007. Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 45(5): 893-898.Available at: https://doi.org/10.1016/j.paid.2006.09.017.
Stone, D.N. and D.A. Ziebart, 1995. A model of financial incentive effects in decision making. Organizational Behavior and Human Decision Processes, 61(3): 250-261.Available at: https://doi.org/10.1006/obhd.1995.1020.
Stoner, J.A.F., A.E. Freeman and D.A.G. Gilbert, 2002. Management. 6th Edn.: Pearson.
Tabachnick, B.G. and L.S. Fidell, 2001. Principal components and factor analysis. Using Multivariate Statisticss, Pearson, 4: 582-633.
Tangirala, S. and B.J. Alge, 2006. Reactions to unfair events in computer-mediated groups: A test of uncertainty management theory. Organizational Behavior and Human Decision Processes, 100(1): 1-20.Available at: https://doi.org/10.1016/j.obhdp.2005.11.002.
Tomaževič, N., J. Seljak and A. Aristovnik, 2018. Occupational values, work climate and demographic characteristics as determinants of job satisfaction in policing. Police Practice and Research: 1-18.Available at: https://doi.org/10.1080/15614263.2018.1500282.
Tyler, T.R., K.A. Rasinski and K.M. McGraw, 1985. The influence of perceived injustice on the endorsement of political leaders 1. Journal of Applied Social Psychology, 15(8): 700-725.Available at: https://doi.org/10.1111/j.1559-1816.1985.tb02269.x.
Van den Bos, K. and E.A. Lind, 2002. Uncertainty management by means of fairness judgments. In Advances in experimental social psychology. Academic Press, 34: 1-60.
Van den Bos, K. and J. Miedema, 2000. Toward understanding why fairness matters: The influence of mortality salience on reactions to procedural fairness. Journal of Personality and Social Psychology, 79(3): 355-366.Available at: https://doi.org/10.1037/0022-3514.79.3.355.
Van Vianen, A.E., C.T. Shen and A. Chuang, 2011. Person–organization and person–supervisor fits: Employee commitments in a Chinese context. Journal of Organizational Behavior, 32(6): 906-926.Available at: https://doi.org/10.1002/job.726.
Verquer, M.L., T.A. Beehr and S.H. Wagner, 2003. A meta-analysis of relations between person–organization fit and work attitudes. Journal of Bocational Behavior, 63(3): 473-489.Available at: https://doi.org/10.1016/s0001-8791(02)00036-2.
Vigoda, E., 2000. Organizational politics, job attitudes, and work outcomes: Exploration and implications for the public sector. Journal of Vocational Behavior, 57(3): 326-347.Available at: https://doi.org/10.1006/jvbe.1999.1742.
Viswesvaran, C. and D.S. Ones, 2002. Examining the construct of organizational justice: A meta-analytic evaluation of relations with work attitudes and behaviors. Journal of Business Ethics, 38(3): 193-203.
Weerasooriyan, N.W.M.R. and A.C.D. Alwis, 2017. Impact of employee engagement on lean manufacturing: An empirical study in Sri Lanka. FIIB Business Review, 6(2): 33-42.Available at: https://doi.org/10.29368/fiib.6.2.2017.33-42.
Wheaton, B., B. Muthen, D.F. Alwin and G.F. Summers, 1977. Assessing reliability and stability in panel models. Sociological Methodology, 8: 84-136.Available at: https://doi.org/10.2307/270754.
Wiesenfeld, B.M., S. Raghuram and R. Garud, 2001. Organizational identification among virtual workers: The role of need for affiliation and perceived work-based social support. Journal of Management, 27(2): 213-229.Available at: https://doi.org/10.1016/s0149-2063(00)00096-9.
Woodrow, C. and D.E. Guest, 2014. When good HR gets bad results: Exploring the challenge of HR implementation in the case of workplace bullying. Human Resource Management Journal, 24(1): 38-56.Available at: https://doi.org/10.1111/1748-8583.12021.
Wright, P.M., T.M. Gardner, L.M. Moynihan, H.J. Park, B. Gerhart and J.R. Delery, 2001. Measurement error in research on human resources and firm performance: Additional data and suggestions for further research. Personnel Psychology, 54: 875–901.
Xanthopoulou, D., A.B. Bakker, E. Demerouti and W.B. Schaufeli, 2009. Reciprocal relationships between job resources, personal resources, and work engagement. Journal of Vocational Behavior, 74(3): 235-244.Available at: https://doi.org/10.1016/j.jvb.2008.11.003.
Yang, H., M.B. Van Rijn and K. Sanders, 2018. Perceived organizational support and knowledge sharing: Employees’ self-construal matters. The International Journal of Human Resource Management: 1-21.Available at: https://doi.org/10.1080/09585192.2018.1443956.
Zagenczyk, T.J., K.D. Scott, R. Gibney, A.J. Murrell and J.B. Thatcher, 2010. Social influence and perceived organizational support: A social networks analysis. Organizational Behavior and Human Decision Processes, 111(2): 127-138.Available at: https://doi.org/10.1016/j.obhdp.2009.11.004.
Views and opinions expressed in this article are the views and opinions of the author(s), International Journal of Management and Sustainability shall not be responsible or answerable for any loss, damage or liability etc. caused in relation to/arising out of the use of the content. |