[1] D. Ammons, Municipal benchmarks: assessing local performance and stablishing community standards, 2ded ,
Thousand Oaks, CA, Sage Publications. 2016.
[2] A. Arjmandinejad, H. Doaei, N.M. Yaghoubi and S.A.Gh. Roshan, Exploratory study of components affecting
human resource productivity in the Islamic context from the perspective of Mashhad municipality staff, Product.
Manag. 10 (2016), no. 39, 41–65.
[3] T. Atkinson, Atkinson report on measuring government output and productvity published today, Online page :
www.Statistics. Gov.uk/pdfdir/nsrt203pdf. (2010).
[4] G.P. Baker, Incentive contracts and performance measures, J. Politic. Econ. 100 (2012), no. 6, 598–614.
[5] R. Beretta, A critical review of the delphi technique, Nurse Res. 3 (2016), no. 4, 79–89.
[6] E.M. Berman, Productivity in public and nonprofit organizations, Routledge, 2014.
[7] I. Bernolak, Linking managerial actions to productivity measures, Int. Product. J. 26 (2011), no. 7, 29–38.
[8] C. Bernad and F. Lucio, The effect of mergers and acquisitions on productivity: an empirical application to
spanish banking, Empir. Res. EU Bank. Sector Financ. Crisis 38 (2015), no. 5, 283–293.
[9] R. Bijl, Delphi in a future scenario study on mental health and mental health care, Future 24 (2012), no. 3,
232–250.
[10] K. Black, EFQM Model Guide,Online page. (2012).
[11] G.B. Bouckart, Public productivity in retrespective, Public Product. Handbook, edited by Holzer, United State,
2012.
[12] Y.J. Cho and G.B. lewis, Turnover intention and turnover behavior: Implications for retaining fedral employses,
Review Public Person. Admin. 32 (2012), no. 1, 4–23.
[13] R. Clarke, The measurement of physical distribution productivity: South Carolina, a case in point, Transport. J.
31 (2011), no. 1, 14–21.
[14] P. Collesi, Volume measures and productivity analysis for the nonmarket sector: the italian experience, 15th Meet.
Voorburg Group on Services Statistics, 2000.
[15] J. Cparadi and Z.H.U. Haiyan, A Survey on bank branch efficiency and performance research with data envelopment analysis, Omega Mag. 41 (2018), no. 1, 61–79.
[16] D. Dawson, H. Gravelle, M. O’Mahony, A. Street, M. Weale, A. Castelli, R. Jacobs, P. Kind, P. Loveridge, S.
Martin and P. Stevens, Developing new approaches to measuring NHS outputs and productivity, Final Report,
Centre Health Econ. Res. Paper 6 (2005).
[17] P.D. Epstein, Measuring the performance of P.S, Public Productivity Handbook, 2012.
[18] S. Ebrahimi, Identify and rank the factors affecting human resource productivity and rank them, Research Project
of AJA University of Medical Sciences, 2014.
[19] S. Ellis and P. Dick, Introduction to organizational behavior, Mc- Graw Hill, 2013.
[20] M. Faraji Marjanloo, B. Faraji Marjanloo and S. Sehat, Investigating the effect of using information and communication technology (ICT) on increasing the productivity of employees (Tabriz Housing Bank Employees), Product.
Manag. 11 (2017), no. 42, 149–174.
[21] D.M. Fisk, Measuring productivity in state and local government, Month. Lab. Rev. 107 (1984), 47.
[22] D.G. Gnote, Painless performance appraisals focus on results, behaviors, HR Mag. 43 (1998), 52–55.
[23] D.E. Goldberg, Genetic algorithms in search, optimization and machine learning, Addison Wesley, 2009.
[24] D.R. Ilgen and H.J. Klein Individual motivation and performance: Cognitive influences on effort and choice, New
perspectives from industrial and organizational psychology (1988), 143-176.
[25] H.P. Hatry and D.M. Fisk, Measuringproductivity in the public sector, Public Productivity Handbook, 2012.
[26] H. Hatami, The relationship between quality of work life and organizational commitment and productivity in the
staff of Jahrom university of medical sciences, New Approach Educ. Manag. 2 (2011), no. 3, 149–163.
[27] M. Holtzer and S. Juan Lee, Public productivity handbook, Marcel Dekker Inc. New York, 2005.
[28] C.T. Horngren and D. Foster, Cost accounting: A managerial emphasis, New Jersey, Prentice-Hall, 2016.
[29] Y. Jabbarzadeh, Identifying effective indicators in measuring employee productivity, a case study of the NAJA
General inspection, Quart. J. Supervis. Inspect. 24 (2013), 55–72.
[30] H.J. Jackson, Decision elements for using, Human Resource (2008) 18–28.
[31] Y. Kando, Customer satisfaction: how can I measure it?, Total Qual. Manag. 12 (2011), no. 8, 867–872.
[32] Ch. Kao, Ch. Liang-Hsuan, W. Tai-Yue and K. Shyanjaw, Productivity improvement: efficiency approach VS
effectiveness approach, Omega Mag. 23 (2005), no. 2, 197–204.
[33] P. Keehley, S. Medlin, S. MasBride and L. longmore, Benchmarking for best practices in the public sector, San
Francisco: Jossey-Bass, 2017.
[34] J.M. Kelly, If you only knew how well we are proforming, you”d be highly satisfied with the quality of our service,
National Civie Rev. 91 (2012), no. 3, 283–292.
[35] R. Kenley, Pproductivity improvement in the construction process, Construct. Manag. Econ. 32 (2014), no. 6,
489–494.
[36] Y. Kim and G. Lee, Strtegic use of IT: The effectiveness of the seoal metropolitan goverments open system, Online
page : http://www.sdi.re.kr /nfiles/pdf. (2016).
[37] M. Kesti, Organization human resources development connection to business performance, Econ. Finance 2 (2017),
257–264.
[38] Ch. Liang, The productivity growth in the Asian NICs: a case study of R.O.C., APO Product. J. (2015) 17–40.
[39] D.R. Lyon, I.L. Navis and T. Reilly, Intelligence–Led governance: Establishing meaningful community indicators,
Online page, 2016.
[40] Y. Jabbarzadeh, Identifying effective indicators in measuring employee productivity, a case study of the NAJA
General Inspection, Quart. J. Supervis. Inspect. 24 (2013), 55–72.
[41] S. Kudyba, Knowledge management: The art of enhancing productivity and innovation with the human resource
in your organization, DM Rev. 13 (2003), 58–59.
[42] L.R. Mathis and H.J. Jackson, Human resource management, South- Western College Pub., 2012.
[43] P. Mawson and N. McLellan, Productivity measurement: alternative approaches and estimates, No. 3/12, New
Zealand Treasury Working Paper, 2003.
[44] F. Mehrabian, Measuring the components of human resource productivity, J. Guilan Univ. Med. Sci. 19 (2010),
no. 74, 58–67.
[45] G. Miller, Government financial management theory, Marcel Dekke: NY., 2011.
[46] S.A. Mirkazemi, S. Rastgou and M. Kharashadizadeh, Designing tools to measure the factors affecting human
resource productivity in Iranian sports federations, Dev. Sports Manag. 6 (2017), no. 2, 153–169.
[47] M. Mitchell, An introduction to genetic algorithms, Cambridge: MIT Press, 2006.
[48] J. Molaei, M. Bagheri and B. Gholami, Meta-analysis of factors affecting human resource productivity in the
organization, NAJA Sci. Quart. 11 (2020), no. 61, 79–102.
[49] P. Osborne, T. Bovaird, S. Martin, M. Tricker and P. Waterston. Performance mangement and accountability in
complex public programmes, Financ. Account. Manag. 11 (1995), no. 1, 19–37.
[50] M. Ozbiligin, Theory and practice, International human recource management, first published by dalagrave
macmlilan, Product. Guilan Univ. Med. Sci. Using Path Anal. ZUMS J. 19 (2010), no. 75, 94–106.
[51] C. Parker and P. Mathews, Customer satisfaction contrasting academic and consumers interpretations, Market.
Intell. Plann. 19 (2011), no. 1, 38–44.
[52] P. Parrotta, D. Pozzoli and M. Pytlikova, Does labor diversity affect firm productivity?, Work. Denmark Paper
(2015), no. 10–12.
[53] F. Rahnavard and M. Khodabakhsh, Structural model of improving the productivity of production employees,
Public Manag. 3 (2011), no. 7, 81–94.
[54] Y.P. Rao, Professional practice motivation model for improving productivity in a manufacturing unit–a success
story, Int. J. Product. Perform. Manag. 55 (2016), no. 5, 430–436.
[55] M. Silver and B. Alan, Potential productivity: concepts and application, Omega Mag. 14 (2006), no. 6, 443–452.
[56] R. Sinke, Education for the 21st century, J. Education. 9(1) (2001) 11–17.
[57] A. Stainer, Productivity management: The Japanese experience, MCB University Press Limited 33 (2005), no. 8,
4–12.
[58] K. Shashank, S. Hazra and N. Nath Pale, Analysis of key factors affecting the variation of labour productivity in
construction projects, Int. J. Emerg. Technol. Adv. Engin. 4 (2019), no. 5, 152–160.
[59] S.S. Shojaei, Gh. Jamali and N. Manteghi, Identify factors affecting human resource productivity, Quart. J. Human
Resource Manag. Res. Imam Hossein Univ. 8 (2015), no. 2, 161–181.
[60] J. Sullivan, Increasing employee productivity: The strategic role that HR essentially ignores, Talent Manag. ERE.
(2016).
[61] G.S. Sureshaudar, C. Rajendran and R.N. Anantharaman, The relationship between management s perception of
total quality service and customer perception of service quality, Total Quality Manag. 13 (2012), no. 1, 64–88.
[62] A.L. Tolentino, New concepts of productivity and its improvement, Eur. Product. Network Seminar 37 (2009),
no. 2, 13–14.
[63] Gh. Tzeng, Ch. Chiang and C.W. Li, Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM
model based on factor analysis and DEMATEL, Expert Syst. Appl. 32 (2007), no. 4, 1028–1044.
[64] P. Vardarliera, Strategic approach to human resources management during crisis, Procedia Soc. Behav. Sci. 235
(2016), 463–472.
[65] A. Vaziri, H. Mansoori and A. Adiban, Identifying and prioritizing factors affecting productivity on human resource
using MADM techniques, Quart. J. Educ. 100 (2009), 135–159.
[66] W.Ch. Wang, L. Chia-Li and L. Ming-Tsung, Using SIA and dematel to identify the factors affecting design
delays, 27th Int. Symp. Automation Robotics Construction, 2015.
[67] L. Wu, Developing global managers competencies using the fuzzy dematel method, Expert Syst. Appl. 32 (2007),
no. 2, 499–507.
[68] X. Yang and M. Hiroshi, Efficiency improvement from multiple perspectives: an application to Japanese banking
industry, Omega Mag. 41 (2013), no. 3, 501–509.
