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(2)

Mohd Asaad and Yusoff, Organizational Culture Influence On Total Productive Maintenance (TPM) and Operational Performance Using RASCH Model Analysis

However poor organisational competencies in managing the maintenance function effectively can severely affect competitiveness by reducing throughput, increasing inventory, and leading to poor due date performance (Ashayeri, 2007). According to Georgios and Prodromos (2008) organizational performance can be divided into two parts: financial performance and non-financial performance.

The operational performance is part of the non-financial performance and is defined as the measurement aspects organization output resulting from organizational processes (Voss, Ahlstrom, & Blackmon, 1997).

According to John (1999) many TPM implementation failed due to the culture of the organization. Organizational culture is defined as the values and beliefs that are practiced by all employees in an organization (Weese, 1996). According to Maddox (2009) the successful implementation of TPM, shall begin with the commitment and leadership of the management team to ensure the success of the program. Radnor and Walley (2008)

argues that a change in attitude not only to management but involve all employees in order to create lasting organizational change.

Therefore, this study is intended to determine the influence of organizational culture on the relationship TPM with operational performance.

2. Research Framework

After explaining the problem statement, the next step is to build a conceptual framework to guide research. Hence the conceptual framework of major importance in identifying the concept, the relationship between the variables and the direction of the relationship.

Figure 1: Research Framework shows the relationship between TPM, organizational culture and operational performance. The independent variable in this framework is TPM. On the other hand, the dependent variable is the performance of the operation.

Organizational culture is a moderator variable between TPM and operational performance.

Figure 1. Research Framework

2.1 . Research Methodology

Sample survey or population study is comprised of companies that manufacture products and automotive components adopting lean tools. These companies or the respondent are a supplier of components and products to

the automotive industry. This study only focused on the Northern Peninsular Malaysia only covering Perlis, Kedah, Penang and Perak. This is because most of the automotive companies operating in the area north of the peninsular and has the same type of manufacturing process. Respondents assigned  

Operational  Performance 

Organizational  culture 

  TPM 

 

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The Asian Journal of Technology Management Vol 6. No.2 (2013):72-81

a six-digit code to facilitate analysis. The first two digits indicate the number of respondents or organization is the location of the third digit, fourth digit indicates the number of years of operation, the fifth digit indicates the number of employees and sixth digits indicate the total turnover.

Based on the total sample, this study considers the results of tests on samples of this study may reflect the results of the overall study population. A total of 76 companies have been identified through the list of suppliers in the vehicle manufacturer. The sample size for population size 76 is 63 (Krejcie & Morgan, 1970; Sekaran, 2003). Thus a total of 63 were randomly selected and required to fill out an online questionnaire or online. Unit of analysis for this study is the organization and most of the respondents were CEOs, managers, engineers and executives.

This questionnaire is designed to assess the capacity of organizations in implementing TPM items to enhance operational performance and the influence of organizational culture on this relationship. It was developed based on extensive literature review and also expert opinion involving management representative in the organization. Before further research was conducted it is important to ensure the instrument used is valid and reliable. Due to the importance of reliable instrument, the instrument should represent what it is supposed to measure; hence the objective of this paper is to conduct an exercise to check the reliability of the instruments using Rasch Model.

These questions are divided into three variables, namely TPM as independent variables and the operational performance as the dependent variable and the culture of the organization as a moderator variable. The formation of this research question was to undergo two types of measurement validity, content validity and construct validity.

Content validity is to ensure that the measurement includes a series of items that emphasize concepts. Construct validity to test

all these questions the appropriateness of an item analysis to meet or fit the Rasch model.

Reliability test was conducted to measure the extent to which the indicator without bias (error-free) and ensure consistent measurement over time and include various items in the instrument (Sekaran, 2003). In the Rasch model reliability of the instrument can be seen through the items and reliability of person.

Most of the questions were mostly taken from previous studies and modified to suit the purposes of some, such as TPM (McLachlin, 1992), organizational culture (Cameron, Kim, Quinn, & Robert, 1999; Knapp, 2010) and operational performance (Ahmad &

Schroeder, 2003). TPM questions divided into two dimensions with B11.X code where the X indicates the number of dimensions Preventive Maintenance (1), and Equipment (2). While organizational culture questions divided into six dimensions with C.Y code where the value of Y indicates the number of dimensions of dominant feature (1), leadership organization (2) employee management (3), bonding organization (4), emphasis strategic (5) and success criteria (6). Similarly, the operating performance of questions it is divided into six dimensions with D.Z code where the Z indicates the number of dimensions of quality (1) cost (2), time (3), delivery (4), productivity (5) and flexibility (6). Six Likert scale measurement range (6 point Likert scales) used in this study. This is because the scale of measurement does not provide the range of 6 points midrange (midpoint) or neutral point (Tang, Shaw, & William, 1999).

2.2 . Rasch Model

Current practice of measuring performance is only counting the responses of priorities from the organizations. The rating is only an order of preference; which is continuum in nature and it is not linear and also do not have equal intervals which contradict with the nature of numbers for statistical analysis (A. A. Aziz, 2008). In Traditional Test, the scatter plot is applied to establish the best regression.

However prediction from ordinal response is

(4)

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No.2 (2013):72-8

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The Asian Journal of Technology Management Vol 6. No.2 (2013):72-81

TABLE 1.0 Lean tools (TPM), OC and OP ZOU880WS.TXT Sep 23 15:27 2013 INPUT: 23 Person 269 Item MEASURED: 22 Person 29 Item 6 CATS WINSTEPS 3.69.1.16 ---

Person - MAP - Item <more>|<rare>

3 + | | | 123244 T|

092222 | | 2 + 233244 | 032233 | 182244 S|

| 192233 |

| C1.2 1 +T

072222 102243 113344 202222 212243 |

172344 223344 M| C3.4 C6.3

| C2.1 D1.2

042122 |S C1.1 C3.2 012244 |

082222 132132 | C5.3 C6.1 C6.2

0 022222 S+ B11.2.9 C2.3 D6.2 D6.3

062444 142134 |M C1.3 D2.5

154334 | B11.2.3 B11.2.5

162444 | B11.1.1 C5.4

| B11.1.2 B11.2.2 D1.3 D5.1

|S B11.2.4 B11.2.7 T|

-1 + B11.1.3 B11.2.1 D4.1

<less>|<frequ>

Figure 8: Map Variables TPM, Organizational Culture and Operational Performance

TPM Organization Culture Operation Performance

Average item: 

‐0.03 logit  Average person: 

0.77 logit 

(8)

Mohd Asaad and Yusoff, Organizational Culture Influence On Total Productive Maintenance (TPM) and Operational Performance Using RASCH Model Analysis

Figure 8 Map Variables TPM, Organizational Culture and Operational Performance shows the relationship between the person (respondent) with items (questions). Person position is on the left in map variable while item position on the other hand on the right.

Person position arranged from average levels (mean) where highest position shows the person the ability to answer those items. Top position show person can answer many items while the bottom person position can managed to answer a little item. The item on the right side of the variable map shows the level of difficulty of items. The item on the bottom left side of variable map shows the items easily to answer or to be implemented. To facilitate the analysis made, these items are rearranged according to TPM, organizational culture and performance of operations.

Thirteen person (respondent) was well above the average person (0.77 logit), two are on average and while nine person below average as shown in Figure 8 Map Variables TPM, Organizational Culture and Operational Performance. The highest ranking person is 123244 and the lowest person is 162444.

Based on the organization code shown person (162444) which is the lowest in the state of Kedah and has been in operation for 30 years, has more than 150 employees and achieved a turnover of over 25 million. Person (123244), which are at the top shows the organization's ability to perform the whole item. Based on that organization indicates this organization is in the state of Penang and has been operating between 21 to 30 years, has more than 150 employees and achieved a turnover of over 25 million.

One item TPM is on average (-0.03 logit ) and nine items are below average. The lowest items are B11.1.3 and B11.2.1 but the highest is B11.2.9 items. Item below 162444 person shows a simple question answered by all organizations. In total all items TPM below the average line can be easily implemented by 20 organizations (from 142134 to 123244 person).

All organizational culture items are above average except C5,4 This shows that these items are difficult to answer This shows that these items are difficult to answer by the organization. The lowest item is C5.4 and the highest is C1.2 items. Only six person can answer to all the items (092 222, 123244, 233244, 032233, 183244 and 193233). Based on that, five person had operates between 21 and 30 years and three of them have more than 150 workers with earnings over 25 million.

Although most organizations have different backgrounds, but it is easy to adopt the culture of the organization. To achieve the success that other organizations should strive to overcome.

There are four items operating performance was well above average and three items are below average. The easiest item to be addressed is related to the delivery DP4.1 while the most difficult item to be addressed is D1.2 to the quality. Most items are above average levels which showed operating performance items difficult to answer and illustrate the difficulty of achieving operational performance. However, 13 organizations ( from 123 244 to 223344 ) easily answer all the operating performance questions and it show that all organizations are concerned to achieve outstanding operational performance.

On the other organization (person 162444) is only able to answer questions (item D1.3, D5.1 and D4.1) showed low operating performance. Based on the organization code shown person (162444) which is the lowest in the state of Kedah and has been in operation for 30 years, has more than 150 employees and achieved a turnover of over 25 million.

This shows that even if the organization has a good background, but it is not able to achieve good performance. This is likely caused obstruction in the culture of the organization.

The operational performance is achieved by implementing all items TPM and operating performance and overcome obstacles that are present in the culture of the organization.

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The Asian Journal of Technology Management Vol 6. No.2 (2013):72-81

However, to achieve outstanding operational performance, organizations must be able to answer all items organizational culture and items operational performance. There are six organizations (from 123244 to 192233 person) are able to implement TPM and good organizational culture and achieve outstanding operational performance.

4. Conclusion

The study conducted showed clearly that the TPM are tool that can improve operational performance. The successful implementation of TPM is not entirely dependent on the number of years of operation, number of employees and sales turnover. Success or failure in the implementation of TPM to excel in operational performance much influenced by the culture of the organization.

This is in line with the view of some researchers TPM (Halim Mad & Ramayah, 2010; Johnson, 2001; Park & Han, 2001) and also other lean tools (Al Smadi, 2009;

Charlene & Harold, 2002; John, 1999;

Taleghani, 2010) as Charlene (2002) opined that organizational culture is a big obstacle in the implementation of cellular manufacturing.

Organizational leadership is one of the most important factors in the lead role of organizational culture TPM implementation in the organization (Park & Han, 2001;

Taleghani, 2010).

In addition to the bond between the employee and the employee and employee-management needs to be improved from time to time. It can be done by improving the relationship between the employee and also through training programs. Some researchers say one of the main obstacles is the willingness of people to change, especially unionized organization (Hutchins, 2007). However, if organizations implement good labor management, it will increase employee motivation (Mahal, 2009) and motivate employees with successful TPM activities.

Researchers agree that the main obstacle to change is an issue that must be addressed by the organization in excellent shape

organizational culture. However, with a strategic emphasis and understand the criteria for success of an organization is able to form a good organizational culture and achieve excellence in operational performance. This study focuses on TPM one of the lean tools, it can be expanded as future research to determine the influence of organizational culture on the relationship between the other lean tools and operational performance.

Reference

Al Smadi, S. (2009). Kaizen strategy and the drive for competitiveness: challenges and opportunities. Competitiveness Review 19 (3):

203.

Ashayeri, J. (2007). Development of computer-aided maintenance resources planning (CAMRP): A case of multiple CNC machining centers. Robotics and Computer- Integrated Manufacturing 23 (6).

Aziz, A. A. (2008). Rasch Model fundalmentals: Scale construct and measurement structure. Kuala Lumpur.

Aziz, A. A., Mohamad, A., Arshad, N., Zakaria, S., & Masodi, M. (2007). Appraisal of Course Learning Outcomes using Rasch Measurement: A Case Study In Information Technology Education. International Journal of Systems Applications, Engineering &

Development 4 (1).

Charlene, A. Y., & Harold, J. S. (2002).

Cellular manufacturing for small businesses:

Key cultural factors that impact the conversion process. Journal of Operations Management 20 (5): 593.

Georgios, N. T., & Prodromos, D. C. (2008).

Enhancing performance through best HRM practices, organizational learning and knowledge management. European Business Review 20 (3): 185.

Greene, B. M. (2002). A taxonomy of the adoption of lean production tools and techniques. Ph.D., The University of

(10)

Mohd Asaad and Yusoff, Organizational Culture Influence On Total Productive Maintenance (TPM) and Operational Performance Using RASCH Model Analysis

Tennessee, United States -- Tennessee.

Retrieved from http://proquest.umi.com/pqdweb?did=765622

341&Fmt=7&clientId=28929&RQT=309&V Name=PQD

Halim Mad, L., & Ramayah, T. (2010).

Maintenance strategy in Malaysian manufacturing companies: a total productive maintenance (TPM) approach. Business Strategy Series, 11(6), 387-396. doi:

http://dx.doi.org/10.1108/1751563101109309 8

Holweg, M. (2007). The genealogy of lean production. Journal of Operations Management 25 (2): 420-437.

Hutchins, C. B. (2007). Five "S" improvement system: An assessment of employee attitudes and productivity improvements. Ph.D., Capella University, United States -- Minnesota. Retrieved from http://proquest.umi.com/pqdweb?did=122173

8901&Fmt=7&clientId=28929&RQT=309&

VName=PQD

John, J. L. (1999). Use mathematical modeling to give your TPM implementation effort an extra boost. Journal of Quality in Maintenance Engineering 5 (1): 62.

Johnson, M. A. (2001). Work group satisfaction as a predictor of total productive maintenance (TPM) performance outcomes.

Ph.D., Wayne State University, United States - - Michigan.

Krejcie, R., & Morgan, D. (1970).

Determining sample size for research activities. Educational and Psychological Measurement 30, 607-610.

Mahal, P. K. (2009). Organizational culture and organizational climate as a determinant of

motivation. IUP Journal of Management Research 8 (10): 38-51.

McLachlin, R. D. (1992). Management initiatives and the implementation of Just-In- Time manufacturing by Canadian firms.

Ph.D., The University of Western Ontario (Canada), Canada.

Park, K. S., & Han, S. W. (2001). TPM--Total Productive Maintenance: Impact on competitiveness and a framework for successful implementation. Human Factors and Ergonomics in Manufacturing, 11(4), 321-338. doi: 10.1002/hfm.1017

Radnor, Z., & Walley, P. (2008). Learning to Walk Before We Try to Run: Adapting Lean for the Public Sector. Public Money &

Management 28 (1): 13-20.

Sekaran, U. (2003). Research Methods for Business: a Skill Building Approach. New York: John Wiley.

Taleghani, M. (2010). Success and failure issues to lead lean manufacturing implementation. World Academy of Science, Engineering and Technology 62, 618.

Tang, R., Shaw, J., & William, M. (1999).

Towards the identification of the optimal number of relevance categories. [Article].

Journal of the American Society for Information Science 50 (3): 254-264.

Voss, C. A., Ahlstrom, P., & Blackmon, K.

(1997). Benchmarking and operational performance: Some empirical results.

International Journal of Operations &

Production Management 17 (10).

Weese, W. J. (1996). Do leadership and organizational culture really matter? Journal of Sport Management 10 (2): 197-206.

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