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The implementation of statistical process control can improve the quality of halal cosmetics product and give a benefit to the company: Partial Least Square Structural Equation Modeling Approach
Rosita Husain Husain, Astri Yulia, Mohd Fuad Mohd Salleh

Last modified: 2017-01-05


The demand for halal cosmetics products is rapidly increasing due to the high quality of the products. Hance, it is not surprising that  halal cosmetics industry can be the next emerging sector for the Halal Industries in Malaysia . The halal cosmetic products in Malaysia are certified and control under JAKIM (Department of Islamic Development Malaysia) and follow the Malaysian Standard MS 2200:2008 requirement.  According to the Standard MS2200: 2008, Halal Cosmetics products must be safe and not hazardous to be used by customers. It means the products should have high quality in the manufacturing process. Thus, the implementation of Quality Control method intended to improve the quality of the halal products has become a business strategy for organizations. Statistical Process Control (SPC) is known as a powerful technique which organizations can use in improving the quality of products or services and lead to the many benefit for companies. Therefore, the purpose of this study is to examine the influence of management commitment on SPC implementation and the impact of SPC implementation on company benefit.  The study was conducted for 10 cosmetics companies in Selangor, and use self-administered questionnaires as data collection method. This study applies modelling methodology of Partial Least Squares (PLS) using SmartPLS software to study the relationships in the theoretical model. The results of the PLS analysis support the proposed model with all regression coefficients are significant at 0.05 (t-value > 1.97), i.e. the relationships among the constructs are statistically significant. As a result, the model is statistically valid and give a clear indicators of SPC implementation in Halal cosmetics companies.



Halal Cosmetics, Statistical Process Control, Management Commitment


Arshia Mukhtar, Mohsin Muhammad Butt, (2012),"Intention to Choose Halal Products: The Role of Religiosity", Journal of Islamic Marketing,3(2), 1 – 1

Asif , M., de Bruijn, E.J.,Douglas. A.and Fisscher,O.A.M (2009),”Why Quality Management Programs fail: A strategic and operations management perspective”, International Journal of Quality & Reliability Management,26 (8),778-794

Bacon,L.D.(1999).Using LISREL and PLS to Measure Customer Satisfaction, Software Conference proceeding ,California,Feb 2-5,305-306

Bagozzi, R. P., and Yi, Y. 1988. On the evaluation of structural equation models,  Journal of the Academy of Marketing Science (16:1), pp. 74-94.

Ben MasonJiju Antony, (2000),"Statistical process control: an essential ingredient for improving service and manufacturing quality", Managing Service Quality: An International Journal, 10 (4) , 233 – 238

Chin,W.W.(1998).The partial least square approach to structural equation modelling.In G.A.Marcouliders(Ed), Modern methods for business research,New Jersy,295-336

Chin,W.W.(2010). Chapter 28:How to write up and report PLS Analysis ,Handbook of Partial Least Square, Springer Handbooks

Claes Fornell; David F Larcker(1981), “Evaluating Structural Equation Models with  Unobserved Variables and Measurement Error”, Journal of Marketing Research ,18(1),39-50

Claire Hewson Peter O’Sullivan Keith Stenning, (1996),"Training needs associated with statistical process control", Training for Quality,4 (4 ), 32 - 36

Compeau, D., Higgins, C. A., and Huff, S. (1999), "Social cognitive theory and individual reactions to computing technology: A longitudinal study," MIS Quarterly ,23(2) , 145-158.

D Barclay, C Higgins, R Thompson(1995), “The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration”, Technology studies 2 (2), 285-309

Daniel I. Prajogo Christopher M. McDermott, (2005),"The relationship between total quality management practices and organizational culture", International Journal of Operations & Production Management,25 ( 11 ), 1101 - 1122

David R. Bamford, Richard W. Greatbanks(2005), “The use of quality management tools and techniques: a study of application in everyday situationsInternational Journal of Quality HYPERLINK ""&HYPERLINK "" Reliability Management, 22 (HYPERLINK "" 4)

Davison, A. C., & Hinkley, D. V. (1997). Bootstrap methods and their application. Cambridge, UK: Cambridge University Press.

Dennis Krumwiede Chwen Sheu, (1996),"Implementing SPC in a small organization: a TQM approach", Integrated Manufacturing Systems,  7 ( 1) , 45 – 51

Department of Standard Malaysia (2008) MS 2200:2008 Islamic Consumer

Douglas C. Montgomery (2009), Statistical Quality Control: A Modern Introduction 6 th Edition; John Wiley & Sons.

Efron, B., & Tibshirani, R. (1986). Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statistical Science, 1, 54-75.

Esposito Vinzi,V.,Trinchera,L.,&Amato,S.(2010).PLS Path Modelling :From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement. Handbook of Partial Least Square: Concept, method and Application, Springer Berlin Heidelberg

Falk,R.F &Miller,N.B.(1992). A primer for soft modelling. Akron,OH:University of Akron Press

Geral M.Smith (2000). Statistical Process Control and Quality Improvement, Fourth Edition. Prentice Hall, New Jersey, Ohio

Goods-Part 1 Cosmetics and Personal Care-General Guidelines,     Ministry of Science  and Innovation (MOSTI), Malaysia.

Haenlein,M.&Kaplan,A.M(2004). A beginner’s guide to partial least square analysis, Understanding statistics , 3(4),283-297

Hair,J.F.,Ringle,C.M.,&Sarstedt,M. (2014), A Premir on Partial Least Square Structural Equation Modelling (PLS-SEM), SAGA Publication Ltd.

Hair,J.F.,Ringle,C.M.,&Sarstedt,M.(2011). PLS-SEM:Indeed a silver bullet. Journal of MarketingTheory and Practice, 19(2),130-151

Harjeev K. Khanna D.D. Sharma S.C. Laroiya, (2011),"Identifying and ranking critical success factors for implementation of total quality management in the Indian manufacturing industry using TOPSIS", Asian. Journal on Quality,  12 (1 ), 124 – 138

Helm, S., Eggert, A., & Garnefeld, I. (2010). Modelling the impact of corporate reputation on customer satisfaction and loy alty using PLS. In V. Esposito Vinzi,W. W. Chin,J. Henseler, & H. Wang (Eds.),Handbook of partial least squares: Concepts, methods and applications in marketing and related fields,Springer ,515-534

Henseler, J., & Fassott, G. (2010). Testing moderating effects in PLS path models: An illustration of available procedures. In V. Esposito Vinzi, W.W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods and applications in marketing and related fields ,Springer ,713-735.

Hwang,H.,Malhotra,N.K.,Kim,Y.,Tomiuk,M.a.,& Hong,S. (2010).A comparative study on parameter recovery of three approaches to structural equation modelling.Journal of Marketing Research, 47,699-712

Jiju Anthony, Tolga Taner, (2003), “ A conceptual Framework for the effective implementation of statistical process control”, Business Process Management Journal, 9(4 ), 473-489

Jiju Antony, Alejandro Balbontin and Tolga Taner (2000),  Key ingredients for the effective implementation of statistical process control, Work Study (MCB University Press ISSN 0043-8022),  49  (6 ). 2000, 242±247

John S. Oakland (2008) “Chapter 15 - The implementation of statistical process controlStatistical Process Control (Sixth Edition),  382-390

Jukka Rantamaki, Eeva.Liisa Tiainen and Tuomo Kassi(2013). A case of implementing SPC in a pup mill.International Journal of Lean Six Sigma,  4 (3), 321-337

Karijn Bonne, Iris Vermeir, Florence Bergeaud-Blackler, Wim Verbeke, (2007),"Determinants of halal meat consumption in France", British Food Journal, 109 ( 5),367 – 386

Keith Goffin Marek Szwejczewski, (1996),"Is management commitment to quality just “a given”?", The TQM Magazine, 8 (2) , 26 – 31

Kottner, J. (2014). The value of Statistical Process Control in quality improvement contexts: Commentary on Unbeck et al.(2013). International journal of nursing studies, 51(2), 346-348.

L. Kamal Gaafar and J. Bert Keats (1992), Statistical Process Control: A Guide for Implementation, International Journal of Quality & Reliability Management,  9 ( 4, 1992), 9-20,

Latan, H., and Ghozali, I. 2012. Partial Least Squares: Concept, Technique and Application SmartPLS 2.0 M3, Badan Penerbit Universitas Diponegoro, Semarang.

M. Rungtusanatham, John. C. Anderson and Kevin. J. Dooley(1999), “Towards measuring the SPC implementation/ practice construct”, International Journal of Quality & Reliability Management. 16 (4), 301-29

M.Xie, T.N.Goh and D.Q.Cai (2001), An Integrated SPC Approach for Manufacturing Process, Integrated Manufacturing System, 12(2), 134-138

Mal Owen Barrie Dale Peter Shaw, (1989),"Implementing SPC: Keys to success", The TQM Magazine, 1(5)

Marco Tieman, (2011),"The application of  Halal  in supply chain management: in-depth interviews",Journal of Islamic Marketing, 2 ( 2) ,186 – 195

Mattias Elg Jesper Olsson Jens Jörn Dahlgaard, (2008),"Implementing statistical process control: an organizational perspective", International Journal of Quality & Reliability Management, 25 ( 6) , 545 – 560

Maurice Pillet and Jean-Luc Maire(2008). How to sustain improvement at high level: Application in the field of statistical process control. The TQM Magazine ,20(6),  570-587

Michael E. Gordon, John W. Philpot, Gregory M. Bounds, W.Steven Long (1994) “ Factors associated with the success of the implementation of statistical process controlThe Journal of High Technology Management Research, 5(1),101-121

Mosadeghard, Ferlie and Rosenberg (2008), “A study of the relationship between job satisfaction, organizational commitment and turnover intention among hospital employees”. Journal of health services Management research, 21 (4), 211-227.

National Pharmaceutical Control Bureau Guidelines for Control of Cosmetics products in Malaysia(2009), Ministry of Health, Malaysia

Nigel P. Grigg (1998), Statistical process control in UK food production: an overview International Journal of Quality & Reliability Management, 15 (2), 223-238

Nunnally, J. C.  (1978).  Psychometric theory (2nd ed.).  New York:  McGraw-Hill.

Puziah Hashim, Neelam Shahab, Theanmalar Masilamani, Rozita Bharom, and Rohaidah Ibrahim,(2009), “A cosmetics Analaysis in Compliance with the Legistrative Requirements, Halal and Quality Control”, Malaysia Journal of Chemistry, 11,1081-087

R.J.M.M. Does, W.A.J. Schippers& A.Trip (1997),“A framework for implementation of statistical process control” International Journal of Quality Science, 2 (3), 181-198.

Richard L.Scheaffer, William Mendenhall and Lyman Ott(2006), Elementary Survey Sampling 4th Edition, PWS-KENT Publishing Company, Boston

Rick M. Watson, (1998),"Implementing self-managed process improvement teams in a continuous improvement environment", The TQM Magazine, 10 (4 ), 246 – 257

Roland Caulcutt,(1996), “Statistical Process Control(SPC)” , Journal of Assembly Automation,16,(4) ,10-14

Rupa Mahanti& James R.Evans (2012), “Criticall success factors for implementing statistical process control in the software industry”,An International Journal, 19 (3), 374-394

Selvan RungasamyJiju AntonySid Ghosh, (2002),"Critical success factors for SPC implementation in UK small and medium enterprises: some key findings from a survey", The TQM Magazine, 14 (4), 217 – 224

Shambavi Rajagopal, Sitalakshmi Ramanan, Ramanan Visvanathan, Subhadra Satapathy, (2011)," Halal certification: implication for marketers in UAE", Journal of Islamic Marketing, 2 (2) ,138 – 153

Vanumamalai Kannan and S.K. Bose & N.G. Kannan(2012). “Improving the service quality of ocean container carriers: an Indian case study”, Benchmarking: An International Journal , 19 (6), 709-729

Wong, K.K(2010).Handling Small survey sample size and skewed dataset with partial least square path modelling. The Magazine of the Marketing Research and Intelligence Association,20-23

Yanyan Gao,Jianghuai Zheng &Maoliang Bu (2014). “Rural-urban income gap and agricultural growth in China: An empirical study on the provincial panel data, 1978-2010”, China Agricultural Economic Review , 6 (1), 92-107

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