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Developing and validating the qualitative labour productivity measurement in service industry

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Abstract

Over the past two centuries, labour productivity (LP) measured has long been synonymous with productivity measured in manufacturing quantitative features reflecting to its economic dominance. While manufacturing continues to be critical for economic growth, the world has evolved into a service-based economy that is more customer-focused, labour-intensive, and interactive in nature. The dominance of quantitative LP measure is not comprehensive enough to capture soft service factors in the service industry, as it is not solely concerned with quantity but relies heavily on labour quality. Unfortunately, the qualitative LP measure is still under-researched. Therefore, this paper aims at developing measurement scales for a conceptual model of qualitative LP measurement (QLPM) and its strategic outcomes. To validate the model, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed. This paper offers the authenticity of qualitative LP, which shifts away from the dependency on quantitative LP measure into a more comprehensive measurement that captured the importance of qualitative factors of LP in the service industry.

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References

  • Agya, V.A., Singh Sekhon, H.: Service production process: implications for service productivity. Int. J. Product. Perform. Manag. 63(8), 1012–1030 (2014)

    Article  Google Scholar 

  • Alex, C.M.: Encyclopedia of Quality of Life and Well-Being. Springer, Dordrecht Heidelberg (2014)

    Google Scholar 

  • Amirul, S.R., Amirul, S.M., Mail, R.: Strategic Flexible Working Arrangement: the Realignment Between Human Resource and Management Accounting. Humanities & Social Sciences Reviews 8(4), 1252–1265 (2020). https://doi.org/10.18510/hssr.2020.84118

    Article  Google Scholar 

  • Anderson, J.C., Gerbing, D.W.: The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor. The Psychometric Society 49(2), 155–173 (1984)

    Article  Google Scholar 

  • Asian Productivity Organization. (2020). APO Manual: Public Sector Productivity.

  • Bellet, C., De Neve, J.-E., Ward, G.: Does employee happiness have an impact on productivity? SSRN Electron. J. (2019). https://doi.org/10.2139/ssrn.3470734

    Article  Google Scholar 

  • Böckerman, P., Ilmakunnas, P.: The job satisfaction-productivity nexus: a study using matched survey and register data. ILR Rev. 65(2), 244–262 (2012)

    Article  Google Scholar 

  • Boles, M., Pelletier, B., Lynch, W.: The relationship between health risks and work productivity. J. Occup. Environ. Med. 46(7), 737–745 (2004). https://doi.org/10.1097/01.jom.0000131830.45744.97

    Article  Google Scholar 

  • Brown, S., McHardy, J., McNabb, R., Taylor, K.: Workplace performance, worker commitment, and loyalty. J. Econ. Manag. Strat. 20(3), 925–955 (2011). https://doi.org/10.1111/j.1530-9134.2011.00306.x

    Article  Google Scholar 

  • Brunner, B., Igic, I., Keller, A.C., Wieser, S.: Who gains the most from improving working conditions? Health-related absenteeism and presenteeism due to stress at work. Eur. J. Health Econ. 20(8), 1165–1180 (2019). https://doi.org/10.1007/s10198-019-01084-9

    Article  Google Scholar 

  • Calabrese, A.: Service productivity and service quality: A necessary trade-off? Int. J. Prod. Econ. 135(2), 800–812 (2012). https://doi.org/10.1016/j.ijpe.2011.10.014

    Article  Google Scholar 

  • Castañeda, J.A.: Relationship between customer satisfaction and loyalty on the internet. J. Bus. Psychol. 26(3), 371–383 (2011). https://doi.org/10.1007/s10869-010-9196-z

    Article  Google Scholar 

  • Centre for Reviews and Dissemination: Systematic Reviews: CRD’s guidance for undertaking reviews in health care. University of York, CRD (2008)

    Google Scholar 

  • Cheng, C.C., Chiu, S., Hu, H., Chang, Y.: A study on exploring the relationship between customer satisfaction and loyalty in the fast food industry: With relationship inertia as a mediator. Afr. J. Bus. Manage. 5(13), 5118–5126 (2011). https://doi.org/10.5897/AJBM10.870

    Article  Google Scholar 

  • Chew, J., Chan, C.C.A.: Human resource practices, organizational commitment and intention to stay. Int. J. Manpow. 29(6), 503–522 (2008). https://doi.org/10.1108/01437720810904194

    Article  Google Scholar 

  • Cooper, C., Dewe, P.: Well-being Absenteeism, Presenteeism, Costs and Challenges In stress to wellbeing volume 2, 2nd edn. Palgrave macmillan, London (2013)

    Google Scholar 

  • Dean, E.R., Kunze, K.: Productivity Measurement in Service Industries. In: Griliches, Z. (ed.) Output Measurement in the Service Sectors, pp. 73–107. University of Chicago Press, United States (1992)

    Google Scholar 

  • Dixit, V., Bhati, M.: A study about employee commitment and its impact on sustained productivity in Indian auto-component industry. Eur. J. Bus. Soc. Sci. 1(6), 34–51 (2012)

    Google Scholar 

  • Dixon, R., Shepherd, D.: Models of labour services and estimates of total factor productivity. Appl. Econ. 42(28), 3629–3634 (2010). https://doi.org/10.1080/00036840802314549

    Article  Google Scholar 

  • Djellal, F., Gallouj, F.: The productivity challenge in services: measurement and strategic perspectives. Serv. Ind. J. 33(3–4), 1–18 (2013)

    Google Scholar 

  • Donald, I., Taylor, P., Johnson, S., Cooper, C., Cartwright, S., Robertson, S.: Work environments, stress, and productivity: An examination using asset. Int. J. Stress. Manag. 12(4), 409–423 (2005). https://doi.org/10.1037/1072-5245.12.4.409

    Article  Google Scholar 

  • Dubois, D., Rothwell, W., Stern, D., Kemp, L.K., Rothwell, W., King, D.J.: Competency-based human resource management. Davies-Black Publishing, Boston, United States (2004)

    Google Scholar 

  • Evans, J.R., Lindsay, W.M.: Managing for quality and performance excellence, 9th edn. South-Western Cengage Learning, Mason (2008)

    Google Scholar 

  • Fassoulis, K., Alexopoulos, N.: The workplace as a factor of job satisfaction and productivity A case study of administrative personnel at the University of Athens. J. Facil. Manag. 13(4), 332–349 (2015). https://doi.org/10.1108/JFM-06-2014-0018

    Article  Google Scholar 

  • Foldspang, L., Mark, M., Rants, L. L., Laurits, R. H., Langholz, C., Poulsen, O., Johansson, U., Ahonen, G., & Aasnaess, S. Working environment and productivity. 1–90 (2014)

  • Gallardo, M.A.S.: Competences to Improve Productivity : A Structural Model. Ajayu 8(1), 11–37 (2010)

    Google Scholar 

  • Grawitch, M.J., Waldrop, J.S., Erb, K.R., Werth, P.M., Guarino, S.N.: Productivity loss due to mental- and physical-health decrements: Distinctions in research and practice. Consult Psychol. J.: Pract. Res. 69(2), 112–129 (2017)

    Article  Google Scholar 

  • Grönroos, C., Ojasalo, K.: Service productivity - Towards a conceptualization of the transformation of inputs into economic results in services. J. Bus. Res. 57(4), 414–423 (2004). https://doi.org/10.1016/S0148-2963(02)00275-8

    Article  Google Scholar 

  • Gulezian, R., Samelian, F.: Baseline determination in construction labor productivity-loss claims. J. Manag. Eng. 19(4), 160–165 (2003). https://doi.org/10.1061/(ASCE)0742-597X(2003)19:4(160)

    Article  Google Scholar 

  • Gummesson, E.: Productivity, quality and relationship marketing in service operations: A revisit in a new service paradigm. Int. J. Contemp. Hosp. Manag. 26(5), 656–662 (2014)

    Article  Google Scholar 

  • Haapakangas, A., Hallman, D.M., Erik, S., Jahncke, H.: Self-rated productivity and employee well-being in activity-based offices: The role of environmental perceptions and workspace use. Build. Environ. 145, 115–124 (2018). https://doi.org/10.1016/j.buildenv.2018.09.017

    Article  Google Scholar 

  • Hair, J. F.: Multivariate data analysis (6th ed.). Pearson Prentice Hall (2006)

  • Hafee, I., Yingjun, Z., Hafeez, S., Mansoor, R., Rehman, K.U.: Impact of workplace environment on employee performance: Mediating role of employee health. Bus., Manag. Educ. 17(2), 173–193 (2019). https://doi.org/10.3846/bme.2019.10379

    Article  Google Scholar 

  • Hair, J.F., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis: Global Edition, 7th edn. Pearson, London (2013)

    Google Scholar 

  • Harold, S.S.T.: Qualitative productivity analysis: does a non-financial measurement model exist? Int. J. Product. Perform. Manag. 63(2), 250–256 (2014). https://doi.org/10.1108/IJPPM-03-2013-0034

    Article  Google Scholar 

  • Higgins, J.P.T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M.J., Welch, V.A.: Cochrane handbook for systematic reviews of interventions version 6.2, 2nd edn. John Wiley & Sons, Hoboken, New Jersey (2021)

    Google Scholar 

  • Hu, L., Bentler, P.M.: Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives. Struct. Equ. Model. 6(1), 1–55 (1999). https://doi.org/10.1080/10705519909540118

    Article  Google Scholar 

  • Huddleston, P., Whipple, J., Mattick, R.N., Lee, S.J.: Customer satisfaction in food retailing: Comparing specialty and conventional grocery stores. Int. J. Retail Distrib. Manag. 37(1), 63–80 (2009). https://doi.org/10.1108/09590550910927162

    Article  Google Scholar 

  • Imran, M., Mehwish, Q., Yusaf, S., Khalid, J.: Empirical investigation of mobbing, stress and employees’ behavior at work place : quantitatively refining a qualitative model. Qual. Quant. 49, 93–113 (2015). https://doi.org/10.1007/s11135-013-9976-4

    Article  Google Scholar 

  • Indriasari, I., Setyorini, N.: The impact of work passion on work performance: the moderating role of P-O fit and meaningfulness of work. Diponegoro Int. J. Bus. 1(1), 26–32 (2018). https://doi.org/10.14710/dijb.1.1.2018.26-32

    Article  Google Scholar 

  • Ishak, M. I. M., Suhaida, M. S., & Yuzainee, M. Y. Performance measurement indicators for academic staff in Malaysia private higher education institutions : A case study in UNITEN. Performance Measurement Association Conference (PMA2009), 1–20 (2009)

  • Isham, A., Mair, S., & Jackson, T. Wellbeing and productivity : A review of the literature. (2019)

  • Jabar, M.A., Sidi, F., Selamat, M.H., Ghani, A.A.A., Ibrahim, H., Baharom, S.: Capturing tacit knowledge for assessing employees’ competency and productivity. Am. J. Econ. Bus. Adm. 3(2), 358–362 (2011). https://doi.org/10.3844/ajebasp.2011.358.362

    Article  Google Scholar 

  • Johari, J., Mohd Shamsudin, F., Tan, F.Y., Yahya, K.K., Adnan, Z.: Job characteristics, employee well-being, and job performance of public sector employees in Malaysia. Int. J. Public Sect. Manag. 32(1), 102–119 (2019)

    Article  Google Scholar 

  • Johnson, S., Robertson, I., Cooper, C.L.: Well-being: Productivity and Happiness at Work, 2nd edn. Palgrave Macmillan, Cham (2018)

    Book  Google Scholar 

  • June, M., Schultz, D.E., Bailey, S.E.: Journal of advertising research customer / brand loyalty in an interactive marketplace. J. Adv. Res. 40(3), 41–52 (2000)

    Article  Google Scholar 

  • Kanghwa, C., Lee, D.H., Olson, D.L.: Service quality and productivity in the US airline industry: a service quality-adjusted DEA model. Serv. Bus. 9(1), 137–160 (2015). https://doi.org/10.1007/s11628-013-0221-y

    Article  Google Scholar 

  • Katz, A.S., Pronk, N.P., Mclellan, D., Dennerlein, J., Katz, J.N.: Perceived workplace health and safety climates: associations with worker outcomes and productivity. Am. J. Prev. Med. 57(4), 487–494 (2019). https://doi.org/10.1016/j.amepre.2019.05.013

    Article  Google Scholar 

  • Konishi, Y., & Nishiyama, Y. Productivity of service providers: microeconometric measurement in the case of hair salons. RIETI Discussion Paper Series, 10-E-051 (2010)

  • Li, X., & Prescott, D. M. Measuring Productivity in the Service Sector Measuring Productivity in the Service Sector. Canadian Tourism Human Resource Council, 1–18 (2009)

  • Linna, M.: Health care financing reform and the productivity change in Finnish hospitals. J. Health Care Finance 26(3), 83–100 (2000)

    Google Scholar 

  • Linna, P., Pekkola, S., Ukko, J., & Melkas, H.: Defining and measuring productivity in the public sector: managerial perceptions. Int J Public Sect Manag 23(5), 479–499 (2010). https://doi.org/10.1108/09513551011058493

    Article  Google Scholar 

  • MacCallum, R.C., Browne, M.W., Sugawara, H.M.: Power analysis and determination of sample size for covariance structure modeling. Psychol. Methods 1, 130–149 (1996)

    Article  Google Scholar 

  • Mahmood, R., Hee, O.C., Yin, O.S., Hanis, M.S.: The mediating effects of employee competency on the relationship between training functions and employee performance. Int. J. Academic Res. Bus. Soc. Sci. 8(7), 664–676 (2018). https://doi.org/10.6007/IJARBSS/v8-i7/4410

    Article  Google Scholar 

  • Mandel, N., Petrova, P.K., Cialdini, R.B.: Images of success and the preference for luxury brands. J. Consum. Psychol. 16(1), 57–69 (2006). https://doi.org/10.1207/s15327663jcp1601_8

    Article  Google Scholar 

  • Mao, H.-Y., Hsieh, A.-T., Chen, C.-Y.: The relationship between workplace friendship and perceived job significance. J. Manag. Organ. 18(2), 247–262 (2012). https://doi.org/10.1017/s1833367200000985

    Article  Google Scholar 

  • Marsden, D., Moriconi, S.: The impact of employee well-being policies and sickness absence on workplace performance. Adv. Ind. Labor Relat. 18, 115–152 (2015). https://doi.org/10.1108/S0742-6186(2011)0000018007

    Article  Google Scholar 

  • Marsh, H.W., Balla, J.: Goodness of fit in confirmatory factor analysis: The effects of sample size and model parsimony. Qual Quant 28, 185–217 (1994)

    Article  Google Scholar 

  • Massy, W. F., Sullivan, T., Mackie, C. D.: Data needed for improving productivity measurement in higher education. Research & Practice in Assessment. 7, 5-15 (2012) http://ezproxy.bethel.edu/login?url=http://www.rpajournal.com/dev/wp-content/uploads/2012/11/SF.pdf

  • Mclellan, R.: Work, health, and worker well-being: roles and opportunities for employers. Health Aff. 36, 206–213 (2017)

    Article  Google Scholar 

  • Miller, J.: The well-being and productivity link: a significant opportunity for research-into- practice. J. Org. Eff.: People Perform. 3(3), 289–311 (2016)

    Google Scholar 

  • OECD: Measuring productivity: measuring the aggregate and industry-level productivity growth. OECD Manual (2001). https://doi.org/10.1787/9789264194519-en

    Article  Google Scholar 

  • OECD.: OECD Compendium of Productivity Indicators, OECD Publishing, Paris (2021). https://doi.org/10.1787/f25cdb25-en.

  • Ojasalo, K.: Conceptualizing Productivity in Services. Helsinki/Helsingfors: Swedish School of Economics Finland/CERS Centre for Relationship Marketing and Service Management. (1999)

  • Ooi, K.B., Safa, M.S., Arumugam, V.: TQM practices and affective commitment: a case of Malaysian semiconductor packaging organizations. Int. J. Manag. Entrepreneurship 2(1), 37–55 (2006)

    Google Scholar 

  • Oswald, A.J., Proto, E., Sgroi, D.: Happiness and productivity. J. Law Econ. 33(4), 789–822 (2015)

    Google Scholar 

  • Pallant, J.: SPSS Survival Manual, 6th edn. Open University Press, United Kingdom (2016)

    Google Scholar 

  • Patterson, M., Warr, P., West, M.: Organizational climate and company productivity: The role of employee affect and employee level. J. Occup. Org. Psychol. 77(2), 193–216 (2004)

    Article  Google Scholar 

  • Public Health England: Measuring employee productivity Topic overview. Public Health England, London (2015)

    Google Scholar 

  • Puteh, F.: Employee core competencies and organizational excellence: An interpretative analysis. Aust. J. Bus. Econ. Studies 2(1), 45–55 (2016)

    Google Scholar 

  • Ramani, G., Kumar, V.: Interaction Orientation and Firm Performance. J. Mark. 72(1), 27–45 (2008)

    Article  Google Scholar 

  • Reinard, J. C. (2006). Communication Research Statistics (T. R. Armstrong (ed.)). Sage Publications

  • Ruch, W.A.: Measuring and managing individual productivity. In organizational linkages: understanding the productivity paradox. The National Academies Press, Washington D.C. (1994). https://doi.org/10.17226/2135

    Book  Google Scholar 

  • Rutkauskas, J., Paulavičienė, E.: Concept of productivity in service sector. Eng. Econ. 3(3), 1–34 (2005)

    Google Scholar 

  • Sánchez-ollero, J.L., García-pozo, A.: Measuring the effects of quality certification on labour productivity An analysis of the hospitality sector. Int. J. Contemp. Hosp. Manag. 27(6), 1100–1116 (2015). https://doi.org/10.1108/IJCHM-02-2014-0057

    Article  Google Scholar 

  • Shamsudin, N.M., Mahmood, N.H.N., Rahim, A.R.A., Mohamad, S.F., Masrom, M.: Virtual reality training approach for occupational safety and health: a pilot study. Adv. Sci. Lett. 24(4), 2447–2450 (2018). https://doi.org/10.1166/asl.2018.10977

    Article  Google Scholar 

  • Shenhav, Y., Haberfeld, Y.: The various faces of scientific productivity : A contingency analysis. Qual. Quant. 22, 365–380 (1988)

    Article  Google Scholar 

  • Sickles, R.C., Zelenyuk, V.: Measurement of Productivity and Efficiency. Cambridge University Press, In Measurement of Productivity and Efficiency (2019). https://doi.org/10.1017/9781139565981

    Book  Google Scholar 

  • Spring Singapore. A Guide to Productivity Measurement. In A Guide to Productivity Measurement. https://www.spring.gov.sg/Resources/Documents/Guidebook_Productivity_Measurement.pdf (2011)

  • Smith, A.D.: Customer relationships management for improved productivity. Int. J. Adult Vocat. Educ. Technol. 10(2), 40–48 (2019). https://doi.org/10.4018/IJAVET.2019040104

    Article  Google Scholar 

  • Solarin, S.A.: Sources of labour productivity : a panel investigation of the role of military expenditure. Qual. Quant. 50, 849–865 (2016). https://doi.org/10.1007/s11135-015-0178-0

    Article  Google Scholar 

  • Song, Y., Su, Q., Liu, Q., Wang, T.: Impact of business relationship functions on relationship quality and buyer’s performance. J. Bus. Indus. Market. 27(4), 286–298 (2012). https://doi.org/10.1108/08858621211221661

    Article  Google Scholar 

  • Stepanek, M., Jahanshahi, K., Millard, F.: Employee productivity loss. J. Occup. Environ. Med. 61(6), 469–478 (2019). https://doi.org/10.1097/JOM.0000000000001573

    Article  Google Scholar 

  • Strauss, G.: Human relations- 1968 Style. Ind. Relat. 7(3), 262–276 (1968)

    Article  Google Scholar 

  • Taiwo, A.S.: The influence of work environment on workers productivity: A case of selected oil and gas industry in Lagos Nigeria. Afr. J. Bus. Manag. 4(3), 299–307 (2010)

    Google Scholar 

  • Thomas, H., Sanvido, V.E.: Quantification of losses caused by labor inefficiencies: Where is the elusive measured mile? J. Construct. Law Bus. 1(3), 1–14 (2000)

    Google Scholar 

  • Tomic, I., Tesic, Z., Kuzmanovic, B., Tomic, M.: An empirical study of employee loyalty, service quality, cost reduction and company performance. Econ. Res.-Ekonomska Istrazivanja 31(1), 827–846 (2018). https://doi.org/10.1080/1331677X.2018.1456346

    Article  Google Scholar 

  • Torrisi, B.: The quality of work in public universities with no-parametric statistical models. Qual. Quant. 49, 349–363 (2015). https://doi.org/10.1007/s11135-014-9990-1

    Article  Google Scholar 

  • Waardenburg, L.: The influence of commitment on employees ’ sense of belongingness and the consequences on employees ’ turnover intentions in high-commitment organizations : A study at the Royal Netherlands Navy. Student Undergraduate Research E-Journal. 2, (2016)

  • Walters, J.: Positive Management: Increasing Employee Productivity (M. Carpenter (ed.)). Business Expert Press (2010)

  • Wee, L.H., Lay, L., Yeap, L., Mei, C., Chan, H., Wong, J.E., Jamil, N.A.: Anteceding factors predicting absenteeism and presenteeism in urban area in Malaysia. BMC Public Health 19(Suppl 4), 1–12 (2019)

    Google Scholar 

  • Yoko, K.:Measuring Productivity in the Service Sector: Current status and challenges. (2016)

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This research is sponsored by the Ministry of Education Malaysia under the Fundamental Research Grant Scheme. Project Code: FRG0460-2017

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Amirul, S.R., Pazim, K.H., Amirul, S.M. et al. Developing and validating the qualitative labour productivity measurement in service industry. Qual Quant 56, 2853–2874 (2022). https://doi.org/10.1007/s11135-021-01220-9

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