[1] S. Shahraki, E. Saghatforoush, A.Z. Ravasan, Identification and Classification of Factors Affecting the Performance of Building Supervisor Engineers for Construction Industry., J. Eng. Proj. Prod. Manag. 8 (2018).
[2] S. Mjakuškina, M. Kavosa, I. Lapiņa, Achieving Sustainability in the Construction Supervision Process, J. Open Innov. Technol. Mark. Complex. 5 (2019) 47.
[3] A. Salehi, P. Sadat Goosheh, Evaluating the role of supervising engineers and designers in optimizing buildings energy consumptions in line with the implementation of national building regulations, in: 3rd Natl. Conf. Clim. Build. Energy Consum. Optim. with Sustain. Dev. Approach [In Persian], 2015.
[4] FIDIC | Quality of Construction | International Federation of Consulting Engineers, (n.d.).
[5] M.J. Spilsbury, J. Brann, S. Norgbey, Quality of project supervision review 2009, in: Summ. Rep., Evaluation Office, Quality Assurance Section, UNEP, 2010.
[6] D. Peterson, Safety Supervision, second ed, American Society of Safety Engineers, Des Plaines., 1999.
[7] G. Odiorne, The new breed of supervisor: leaders in self-managed work teams, Supervision. 52 (1991) 14–17.
[8] F. Liu, Analysis of supervision engineers’ quality, Shanxi Constr. 30 (2004) 86–87.
[9] D. Hardison, M. Behm, M.R. Hallowell, H. Fonooni, Identifying construction supervisor competencies for effective site safety, Saf. Sci. 65 (2014) 45–53.
[10] R.S. Maheshkumar, S.K. Purva, Impact of Supervision on Rework in Construction In, Int. J. Recent Innov. Trends Comput. Commun. 4 (2016) 1–7.
[11] J.H. Michael, Z.G. Guo, J.K. Wiedenbeck, C.D. Ray, Production supervisor impacts on subordinates’ safety outcomes: An investigation of leader-member exchange and safety communication, J. Safety Res. 37 (2006) 469–477.
[12] J.R. Hackman, G.R. Oldham, Development of the job diagnostic survey., J. Appl. Psychol. 60 (1975) 159.
[13] I. Djastuti, The influence of job characteristics on job satisfaction, organizational commitment and managerial performance a study on construction companies in Central Java, Int. Res. J. Bus. Stud. 3 (2015).
[14] L. Hsu, P. Liao, From job characteristics to job satisfaction of foreign workers in Taiwan’s construction industry: The mediating role of organizational commitment, Hum. Factors Ergon. Manuf. Serv. Ind. 26 (2016) 243–255.
[15] K. Mostert, M. Peeters, I. Rost, Work–home interference and the relationship with job characteristics and well‐being: a South African study among employees in the construction industry, Stress Heal. 27 (2011) e238–e251.
[16] N.A. Said, R. Munap, Job characteristics and job satisfaction: A relationship study on supervisors performance, in: 2010 IEEE Int. Conf. Manag. Innov. Technol., IEEE, 2010: pp. 714–719.
[17] J. Johari, F.M. Shamsudin, T.F. Yean, K.K. Yahya, Z. Adnan, Job characteristics, employee well-being, and job performance of public sector employees in Malaysia, Int. J. Public Sect. Manag. (2019).
[18] H.N. Onukwube, R. Iyagba, Construction professionals job performance and characteristics: A comparison of indigenous and expatriate construction companies in Nigeria, Australas. J. Constr. Econ. Build. 11 (2011) 71–83.
[19] J.B. Sørensen, D.J. Phillips, Competence and commitment: employer size and entrepreneurial endurance, Ind. Corp. Chang. 20 (2011) 1277–1304. https://doi.org/10.1093/icc/dtr025.
[20] C.-P. Lin, C.-M. Liu, H.-T. Chan, Developing job performance: mediation of occupational commitment and achievement striving with competence enhancement as a moderator, Pers. Rev. 51 (2022) 750–769. https://doi.org/10.1108/PR-04-2020-0296.
[21] A. Grobelna, Effects of individual and job characteristics on hotel contact employees’ work engagement and their performance outcomes, Int. J. Contemp. Hosp. Manag. 31 (2019) 349–369. https://doi.org/10.1108/IJCHM-08-2017-0501.
[22] E. Kahya, The effects of job characteristics and working conditions on job performance, Int. J. Ind. Ergon. 37 (2007) 515–523. https://doi.org/https://doi.org/10.1016/j.ergon.2007.02.006.
[23] A. Katebi, M.H. HajiZadeh, A. Bordbar, A.M. Salehi, The Relationship Between “Job Satisfaction” and “Job Performance”: A Meta-analysis, Glob. J. Flex. Syst. Manag. (2021). https://doi.org/10.1007/s40171-021-00280-y.
[24] J.E. Bono, T.A. Judge, Core self‐evaluations: A review of the trait and its role in job satisfaction and job performance, Eur. J. Pers. 17 (2003) S5–S18.
[25] F.L. Schmidt, J.E. Hunter, Development of a causal model of processes determining job performance, Curr. Dir. Psychol. Sci. 1 (1992) 89–92.
[26] T.A. Judge, A. Erez, J.E. Bono, The power of being positive: The relation between positive self-concept and job performance, Hum. Perform. 11 (1998) 167–187.
[27] P. Folan, J. Browne, A review of performance measurement: Towards performance management, Comput. Ind. 56 (2005) 663–680.
[28] N. Valaei, S. Jiroudi, Job satisfaction and job performance in the media industry: A synergistic application of partial least squares path modelling, Asia Pacific J. Mark. Logist. (2016).
[29] M. Sony, N. Mekoth, The relationship between emotional intelligence, frontline employee adaptability, job satisfaction and job performance, J. Retail. Consum. Serv. 30 (2016) 20–32.
[30] E. Fallah Tafti, H. Mosalman Yazdi, M. Javaheri, Investigating and evaluating the performance of supervising engineers and prioritizing the factors affecting it, in: 3rd Natl. Conf. Constr. Mater. New Technol. Constr. Ind. [In Persian], 2016.
[31] N.A. Krima, G. Wood, G.F. Aouad, Z. Hatush, Assessing the performance of Libyan supervising engineers, Constr. Manag. Econ. 25 (2007) 509–518.
[32] R.K. Purvanova, J.E. Bono, J. Dzieweczynski, Transformational leadership, job characteristics, and organizational citizenship performance, Hum. Perform. 19 (2006) 1–22.
[33] J.R. Hackman, E.E. Lawler, Employee reactions to job characteristics., J. Appl. Psychol. 55 (1971) 259.
[34] G.R. Oldham, Job characteristics and internal motivation: The moderating effect of interpersonal and individual variables, Hum. Relations. 29 (1976) 559–569.
[35] P. Yuxiu, W. Kunaviktikul, P. Thungjaroenkul, Job characteristics and job performance among professional nurses in the university hospitals of people’s Republic of China, Chiang Mai Univ. J. Nat. Sci. 10 (2011) 171–180.
[36] S. Hassan, Sources of professional employees’ job involvement: An empirical assessment in a government agency, Rev. Public Pers. Adm. 34 (2014) 356–378.
[37] N. CUI, S.-F. XIAO, How Much does Job Autonomy Matter for Job Performance of Chinese Supervising Engineers: A Quantitative Study, East Asian J. Bus. Econ. 9 (2021) 71–82.
[38] J. Krasman, Putting feedback‐seeking into “context”: job characteristics and feedback‐seeking behaviour, Pers. Rev. (2013).
[39] S. Hauff, N. Richter, Power distance and its moderating role in the relationship between situational job characteristics and job satisfaction: An empirical analysis using different cultural measures, Cross Cult. Manag. 22 (2015) 68–89.
[40] M.A. Faturochman, The job characteristics theory: A review, Bul. Psikol. UGM, December 2nd1997. (1997).
[41] A.A. Uruthirapathy, G.G. Grant, The influence of job characteristics on IT and non-IT job professional’s turnover intentions, J. Manag. Dev. 34 (2015) 715–728.
[42] J.R. Hackman, G.R. Oldham, Work Redesign, AddisonWesley, Reading, MA. (1980).
[43] P. Ghosh, A. Rai, R. Chauhan, N. Gupta, A. Singh, Exploring the moderating role of context satisfaction between job characteristics and turnover intention of employees of Indian public sector banks, J. Manag. Dev. 34 (2015) 1019–1030.
[44] E. Bacha, The relationship between transformational leadership, task performance and job characteristics, J. Manag. Dev. 33 (2014) 410–420.
[45] A. Alsop, Perspectives on competence, Br. J. Ther. Rehabil. 8 (2001) 258–264.
[46] P. Hager, A. Gonczi, Professions and competencies, Boundaries Adult Learn. (1996) 246–260.
[47] M. Eraut, Concepts of competence, J. Interprof. Care. 12 (1998) 127–139. https://doi.org/10.3109/13561829809014100.
[48] A. Gonczi, P. Hager, J. Athanasou, The development of competency-based assessment strategies for the professions, AGPS Canberra, 1993.
[49] S. Messick, The psychology of educational measurement, ETS Res. Rep. Ser. 1984 (1984) i–55.
[50] U. Sekaran, F.R. Wagner, Sense of competence: A cross-cultural analysis for managerial application, Gr. Organ. Stud. 5 (1980) 340–352.
[51] J.P. Meyer, N.J. Allen, A three-component conceptualization of organizational commitment, Hum. Resour. Manag. Rev. 1 (1991) 61–89.
[52] S. Qian, Q. Yuan, W. Niu, Z. Liu, Is job insecurity always bad? The moderating role of job embeddedness in the relationship between job insecurity and job performance, J. Manag. Organ. (2019) 1–17.
[53] N. Ribeiro, D. Gomes, S. Kurian, Authentic leadership and performance: the mediating role of employees’ affective commitment, Soc. Responsib. J. (2018).
[54] N.J. Allen, J.P. Meyer, Construct validation in organizational behavior research: The case of organizational commitment, in: Probl. Solut. Hum. Assess., Springer, 2000: pp. 285–314.
[55] R.P. Settoon, N. Bennett, R.C. Liden, Social exchange in organizations: Perceived organizational support, leader–member exchange, and employee reciprocity., J. Appl. Psychol. 81 (1996) 219.
[56] C. Vandenberghe, K. Bentein, F. Stinglhamber, Affective commitment to the organization, supervisor, and work group: Antecedents and outcomes, J. Vocat. Behav. 64 (2004) 47–71.
[57] J.R. Hackman, Group influences on individuals in organizations., Consulting Psychologists Press, 1992.
[58] T.S. Heffner, J.R. Rentsch, Organizational commitment and social interaction: A multiple constituencies approach, J. Vocat. Behav. 59 (2001) 471–490.
[59] N.J. Allen, J.P. Meyer, Affective, continuance, and normative commitment to the organization: An examination of construct validity, J. Vocat. Behav. 49 (1996) 252–276.
[60] J.P. Meyer, D.J. Stanley, L. Herscovitch, L. Topolnytsky, Affective, continuance, and normative commitment to the organization: A meta-analysis of antecedents, correlates, and consequences, J. Vocat. Behav. 61 (2002) 20–52.
[61] A. Rego, A. Vitória, A. Magalhães, N. Ribeiro, M.P. e Cunha, Are authentic leaders associated with more virtuous, committed and potent teams?, Leadersh. Q. 24 (2013) 61–79.
[62] A.S.D. Semedo, A.F.M. Coelho, N.M.P. Ribeiro, Effects of authentic leadership, affective commitment and job resourcefulness on employees’ creativity and individual performance, Leadersh. Organ. Dev. J. (2016).
[63] N. Ribeiro, A.P. Duarte, R. Filipe, R. Torres de Oliveira, How authentic leadership promotes individual creativity: The mediating role of affective commitment, J. Leadersh. Organ. Stud. 27 (2020) 189–202.
[64] M. Riketta, Attitudinal organizational commitment and job performance: a meta‐analysis, J. Organ. Behav. Int. J. Ind. Occup. Organ. Psychol. Behav. 23 (2002) 257–266.
[65] C. Vandenberghe, K. Bentein, A. Panaccio, Affective commitment to organizations and supervisors and turnover: A role theory perspective, J. Manage. 43 (2017) 2090–2117.
[66] A. Cooper-Hakim, C. Viswesvaran, The construct of work commitment: testing an integrative framework., Psychol. Bull. 131 (2005) 241.
[67] J.P. Meyer, L. Herscovitch, Commitment in the workplace: Toward a general model, Hum. Resour. Manag. Rev. 11 (2001) 299–326.
[68] S.E. Hobfoll, Social and psychological resources and adaptation, Rev. Gen. Psychol. 6 (2002) 307–324.
[69] É. Lapointe, C. Vandenberghe, A. Panaccio, Organizational commitment, organization-based self-esteem, emotional exhaustion and turnover: A conservation of resources perspective, Hum. Relations. 64 (2011) 1609–1631.
[70] K.-H. Schmidt, Organizational commitment: A further moderator in the relationship between work stress and strain?, Int. J. Stress Manag. 14 (2007) 26.
[71] É. Lapointe, C. Vandenberghe, J.-S. Boudrias, Psychological contract breach, affective commitment to organization and supervisor, and newcomer adjustment: A three-wave moderated mediation model, J. Vocat. Behav. 83 (2013) 528–538.
[72] B.J. Avolio, W.L. Gardner, F.O. Walumbwa, F. Luthans, D.R. May, Unlocking the mask: A look at the process by which authentic leaders impact follower attitudes and behaviors, Leadersh. Q. 15 (2004) 801–823.
[73] J.E. Mathieu, D.M. Zajac, A review and meta-analysis of the antecedents, correlates, and consequences of organizational commitment., Psychol. Bull. 108 (1990) 171.
[74] D.M. Randall, The consequences of organizational commitment: Methodological investigation, J. Organ. Behav. 11 (1990) 361–378.
[75] A. Cohen, Career stage as a moderator of the relationships between organizational commitment and its outcomes: A meta‐analysis, J. Occup. Psychol. 64 (1991) 253–268.
[76] J. Chen, C. Silverthorne, J. Hung, Organization communication, job stress, organizational commitment, and job performance of accounting professionals in Taiwan and America, Leadersh. Organ. Dev. J. (2006).
[77] S. Samad, S.A. Selangor, Unraveling the organizational commitment and job performance relationship: Exploring the moderating effect of job satisfaction, Bus. Rev. 4 (2005) 79–84.
[78] N. Ribeiro, İ. Yücel, D. Gomes, How transformational leadership predicts employees’ affective commitment and performance, Int. J. Product. Perform. Manag. (2018).
[79] Z.A. Rashid, M. Sambasivan, J. Johari, The influence of corporate culture and organisational commitment on performance, J. Manag. Dev. (2003).
[80] I.O. Ugboro, Organizational commitment, job redesign, employee empowerment and intent to quit among survivors of restructuring and downsizing, J. Behav. Appl. Manag. 7 (2006) 232–257.
[81] M.S. Zargar, C. Vandenberghe, C. Marchand, A.K. Ben Ayed, Job scope, affective commitment, and turnover: The moderating role of growth need strength, J. Occup. Organ. Psychol. 87 (2014) 280–302.
[82] S.E. Humphrey, J.D. Nahrgang, F.P. Morgeson, Integrating motivational, social, and contextual work design features: a meta-analytic summary and theoretical extension of the work design literature., J. Appl. Psychol. 92 (2007) 1332.
[83] S. Nikou, Factors driving the adoption of smart home technology: An empirical assessment, Telemat. Informatics. 45 (2019) 101283.
[84] A. Katebi, P. Homami, M. Najmeddin, Acceptance model of precast concrete components in building construction based on Technology Acceptance Model (TAM) and Technology, Organization, and Environment (TOE) framework, J. Build. Eng. 45 (2021) 103518. https://doi.org/https://doi.org/10.1016/j.jobe.2021.103518.
[85] E. Almanasreh, R. Moles, T.F. Chen, Evaluation of methods used for estimating content validity, Res. Soc. Adm. Pharm. 15 (2019) 214–221.
[86] P. Ifinedo, An empirical analysis of factors influencing Internet/e-business technologies adoption by SMEs in Canada, Int. J. Inf. Technol. Decis. Mak. 10 (2011) 731–766.
[87] C.H. Lawshe, A quantitative approach to content validity, Pers. Psychol. 28 (1975) 563–575.
[88] D.F. Polit, C.T. Beck, The content validity index: are you sure you know what’s being reported? Critique and recommendations, Res. Nurs. Health. 29 (2006) 489–497.
[89] D.D. Nulty, The adequacy of response rates to online and paper surveys: what can be done?, Assess. Eval. High. Educ. 33 (2008) 301–314.
[90] J.F. Hair Jr, G.T.M. Hult, C.M. Ringle, M. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM), Sage publications, 2021.
[91] J. Henseler, W.W. Chin, A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling, Struct. Equ. Model. 17 (2010) 82–109.
[92] S. Geisser, A predictive approach to the random effect model, Biometrika. 61 (1974) 101–107.
[93] M. Stone, Cross‐validatory choice and assessment of statistical predictions, J. R. Stat. Soc. Ser. B. 36 (1974) 111–133.
[94] C.M. Ringle, S. Wende, J.-M. Becker, SmartPLS 3, Boenningstedt SmartPLS GmbH. (2015).
[95] F. Manzoor, L. Wei, T. Bányai, M. Nurunnabi, Q.A. Subhan, An examination of sustainable HRM practices on job performance: An application of training as a moderator, Sustainability. 11 (2019) 2263.
[96] J.B. Thatcher, L.P. Stepina, R.J. Boyle, Turnover of information technology workers: Examining empirically the influence of attitudes, job characteristics, and external markets, J. Manag. Inf. Syst. 19 (2002) 231–261. https://doi.org/10.1080/07421222.2002.11045736.
[97] M.G. Morris, V. Venkatesh, Job characteristics and job satisfaction: understanding the role of enterprise resource planning system implementation., Mis Q. 34 (2010).
[98] G.M. Spreitzer, Psychological empowerment in the workplace: Dimensions, measurement, and validation, Acad. Manag. J. 38 (1995) 1442–1465.
[99] J.P. Meyer, N.J. Allen, C.A. Smith, Commitment to organizations and occupations: Extension and test of a three-component conceptualization., J. Appl. Psychol. 78 (1993) 538.
[100] J. Henseler, C.M. Ringle, R.R. Sinkovics, The use of partial least squares path modeling in international marketing, in: New Challenges to Int. Mark., Emerald Group Publishing Limited, 2009.
[101] M. Tenenhaus, V.E. Vinzi, Y.-M. Chatelin, C. Lauro, PLS path modeling, Comput. Stat. Data Anal. 48 (2005) 159–205.
[102] J.F. Hair, C.M. Ringle, M. Sarstedt, PLS-SEM: Indeed a silver bullet, J. Mark. Theory Pract. 19 (2011) 139–152.
[103] C.M. Ringle, M. Sarstedt, R. Schlittgen, Genetic algorithm segmentation in partial least squares structural equation modeling, OR Spectr. 36 (2014) 251–276.
[104] C.M. Ringle, M. Sarstedt, D.W. Straub, Editor’s comments: a critical look at the use of PLS-SEM in" MIS Quarterly", MIS Q. (2012) iii–xiv.
[105] J.F. Hair, M. Sarstedt, C.M. Ringle, J.A. Mena, An assessment of the use of partial least squares structural equation modeling in marketing research, J. Acad. Mark. Sci. 40 (2012) 414–433.
[106] C. Fornell, D.F. Larcker, Evaluating structural equation models with unobservable variables and measurement error, J. Mark. Res. 18 (1981) 39–50.
[107] C.-Y. Lee, H.-Y. Chong, Q. Li, X. Wang, Joint contract–function effects on BIM-enabled EPC project performance, J. Constr. Eng. Manag. 146 (2020) 4020008.
[108] J. Henseler, C.M. Ringle, M. Sarstedt, A new criterion for assessing discriminant validity in variance-based structural equation modeling, J. Acad. Mark. Sci. 43 (2015) 115–135.
[109] W.W. Chin, The partial least squares approach to structural equation modeling, Mod. Methods Bus. Res. 295 (1998) 295–336.
[110] J. Cohen, Statistical power analysis for the social sciences, (1988).
[111] W.W. Chin, B.L. Marcolin, P.R. Newsted, A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study, Inf. Syst. Res. 14 (2003) 189–217.
[112] P.M. Bentler, D.G. Bonett, Significance tests and goodness of fit in the analysis of covariance structures., Psychol. Bull. 88 (1980) 588.
[113] T.K. Dijkstra, J. Henseler, Consistent partial least squares path modeling, MIS Q. 39 (2015) 297–316.
[114] M. Wetzels, G. Odekerken-Schröder, C. Van Oppen, Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration, MIS Q. (2009) 177–195.
[115] R.M. Baron, D.A. Kenny, The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations., J. Pers. Soc. Psychol. 51 (1986) 1173.
[116] K.J. Preacher, G.J. Leonardelli, Calculation for the Sobel test: An interactive calculation tool for mediation tests, (2001).
[117] C. Nitzl, J.L. Roldan, G. Cepeda, Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models, Ind. Manag. Data Syst. (2016).
[118] W.W. Chin, B.L. Marcolin, P.R. Newsted, A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study, in: 17th Int. Conf. Inf. Syst. Cleveland, OH., 1996.
[119] P. Ifinedo, The moderating effects of demographic and individual characteristics on nurses’ acceptance of information systems: A canadian study, Int. J. Med. Inform. 87 (2016) 27–35.
[120] J.F. Dawson, Moderation in management research: What, why, when, and how, J. Bus. Psychol. 29 (2014) 1–19.
[121] P.J. Leather, Safety and accidents in the construction industry: a work design perspective, Work Stress. 1 (1987) 167–174.