Acceso abierto

Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises


Cite

[1] Hu Y, Zhou P, Zhou D. What is low-carbon development? A conceptual analysis. Energy Procedia. 2011;(5):1706-10. https://www.sciencedirect.com/science/article/pii/S1876610211012264?via%3Dihub.10.1016/j.egypro.2011.03.290Search in Google Scholar

[2] Tsai SB, Yu J, Ma L, Luo F, Zhou J, Chen Q, et al. A study on solving the production process problems of the photovoltaic cell industry. Renew Sust Energy Rev. 2018;82:3546-53. https://www.sciencedirect.com/science/article/pii/S136403211731479X.10.1016/j.rser.2017.10.105Search in Google Scholar

[3] Liu B, Li T, Tsai SB. Low carbon strategy analysis of competing supply chains with different power structures. Sustainability. 2017;9:835. DOI:10.3390/su9050835.10.3390/su9050835Open DOISearch in Google Scholar

[4] Tsai SB. Using the DEMATEL model to explore the job satisfaction of research and development professionals in China’s photovoltaic cell industry. Renew Sust Energy Rev. 2018;81:62-8. https://www.sciencedirect.com/science/article/pii/S1364032117310821.10.1016/j.rser.2017.07.014Search in Google Scholar

[5] Raineri A. Linking human resources practices with performance: the simultaneous mediation of collective affective commitment and human capital. Int J Human Resource Manage. 2017;28(22):3149-78. https://www.tandfonline.com/doi/abs/10.1080/09585192.2016.1155163.10.1080/09585192.2016.1155163Open DOISearch in Google Scholar

[6] Kristen M, Joshua JD, Kyle T, Franz WK. Family firm human resource practices: Investigating the effects of professionalization and bifurcation bias on performance. J Business Res. 2018;84:326-37. https://www.sciencedirect.com/science/article/pii/S0148296317302187.10.1016/j.jbusres.2017.06.021Search in Google Scholar

[7] Daspit JJ, Madison K, Barnett T, Long RG. The emergence of bifurcation bias from unbalanced families: Examining HR practices in the family firm using circumplex theory. Human Resource Manage Rev. 2017;28(1):18-32. https://www.sciencedirect.com/science/article/pii/S1053482217300359.10.1016/j.hrmr.2017.05.003Search in Google Scholar

[8] Ghadimi P, Toosi FG, Heavey C. A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain. Europ J Operational Res. 2018;269(1):286-301. https://www.sciencedirect.com/science/article/pii/S0377221717306410.10.1016/j.ejor.2017.07.014Search in Google Scholar

[9] Hosseini S, Sarder MD. Development of a Bayesian network model for optimal site selection of electric vehicle charging station. Int J Electrical Power Energy Systems. 2019;105:110-22. https://www.sciencedirect.com/science/article/pii/S0142061517309936.10.1016/j.ijepes.2018.08.011Search in Google Scholar

[10] Kellner F. Sustainability in supplier selection and order allocation: Combining integer variables with Markowitz portfolio theory. J Cleaner Production. 2019;214:462-74. https://www.sciencedirect.com/science/article/pii/S0959652618340460?via%3Dihub.10.1016/j.jclepro.2018.12.315Search in Google Scholar

[11] Narayanamoorthy S, Geetha S, Rakkiyappan R, Joo YH. Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection. Expert Systems Applications. 2019;121:28-37. https://www.sciencedirect.com/science/article/pii/S0957417418307772.10.1016/j.eswa.2018.12.015Search in Google Scholar

[12] Prosman EJ, Sacchi R. New environmental supplier selection criteria for circular supply chains: lessons from a consequential LCA study on waste recovery. J Cleaner Production. 2018;172:2782-92. https://www.sciencedirect.com/science/article/pii/S0959652617328068.10.1016/j.jclepro.2017.11.134Search in Google Scholar

[13] Sinha AK, Anand A. Towards fuzzy preference relationship based on decision making approach to access the performance of suppliers in environmental conscious manufacturing domain. Computers Industrial Eng. 2017;105:39-54. https://www.sciencedirect.com/science/article/pii/S0360835216305113.10.1016/j.cie.2016.12.033Search in Google Scholar

[14] Chrisman, JJ, Devaraj S, Patel PC. The impact of incentive compensation on labor productivity in family and nonfamily firms. Family Business Rev. 2017;30(2):119-36. https://journals.sagepub.com/doi/abs/10.1177/0894486517690052.10.1177/0894486517690052Open DOISearch in Google Scholar

[15] Saaty TL. The Analytic Hierarchy Process. New York: McGraw-Hill; 1980. ISBN: 0070543712.10.21236/ADA214804Search in Google Scholar

[16] Saaty TL. Decision Making with Dependence and Feedback: The Analytic Network Process. Pittsburgh: RWS Publications;1996. ISBN: 1888603070.Search in Google Scholar

[17] Saaty TL, Shih HS. Structures in decision making: On the subjective geometry of hierarchies and networks. European J Operational Res. 2009;199(3),867-72. https://www.sciencedirect.com/science/article/pii/S0377221709002203.Search in Google Scholar

[18] Sarkis, J. A strategic decision framework for green supply chain management. J Cleaner Production. 2003;11(4):397-409. https://www.sciencedirect.com/science/article/pii/S0959652602000628.10.1016/S0959-6526(02)00062-8Search in Google Scholar

[19] Leung LC, Lam KC, Cao D. Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process. J Operational Res Soc. 2006;57(6):682-91. https://www.tandfonline.com/doi/abs/10.1057/palgrave.jors.2602040.10.1057/palgrave.jors.2602040Open DOISearch in Google Scholar

[20] Lan LW, Wu WW, Lee YT. On the decision structures and knowledge discovery for ANP modeling. Int J Intelligence Sci. 2013;3(1A):15-23. DOI: 10.4236/ijis.2013.31A003.10.4236/ijis.2013.31A003Open DOISearch in Google Scholar

[21] Deng XY, Hu Y, Deng Y, Mahadevan S. Environmental impact assessment impact assessment based on numbers. Expert Systems Applications. 2014;41(2):635-43. https://www.sciencedirect.com/science/article/pii/S0957417413005897.10.1016/j.eswa.2013.07.088Search in Google Scholar

[22] Abhishek RD, Sejal SB. Analysis of suitable locations of urban green space based on AHP for Surat City. J Recent Activities Infrastructure Sci. 2017;2(2):1-10. http://matjournals.in/index.php/JoRAIS/article/view/1533.Search in Google Scholar

[23] Validi S, Bhattacharya A, Byrne PJ. Sustainable distribution system design: a two-phase DoE-guided meta-heuristic solution approach for a three-echelon bi-objective AHP-integrated location-routing model. Annals Operations Res. 2018:1-32. https://link.springer.com/article/10.1007/s10479-018-2887-y.10.1007/s10479-018-2887-ySearch in Google Scholar

[24] Huang L. A cultural model of online banking adoption: Long-term orientation perspective. J Organizational End User Computing. 2017;29(1):1-22. DOI: 10.4018/JOEUC.2017010101.10.4018/JOEUC.2017010101Open DOISearch in Google Scholar

[25] Fabisiak L. Web service usability analysis based on user preferences. J Organizational End User Computing. 2018;30(4):1-13. DOI: 10.4018/JOEUC.2018100101.10.4018/JOEUC.2018100101Open DOISearch in Google Scholar

[26] Avdic A. Second order interactive end user development appropriation in the public sector: Application development using spreadsheet programs. J Organizational End User Computing. 2018;30(1):82-106. DOI: 10.4018/JOEUC.2018010105.10.4018/JOEUC.2018010105Open DOISearch in Google Scholar

[27] Awasthi A, Govindan K, Gold S. Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. Int J Production Economics. 2018;195:106-17. https://www.sciencedirect.com/science/article/pii/S0925527317303286.10.1016/j.ijpe.2017.10.013Search in Google Scholar

[28] Kalinichenko A, Havrysh V. Environmentally friendly fuel usage: Economic margin of feasibility. Ecol Chem Eng S. 2019;26(2):241-54. DOI: 10.1515/eces-2019-0030.10.1515/eces-2019-0030Open DOISearch in Google Scholar

[29] Awasthi A, Kannan G. Green supplier development program selection using NGT and VIKOR under fuzzy environment. Computers Industrial Eng. 2016;91:100-8. https://www.sciencedirect.com/science/article/pii/S036083521500457X.10.1016/j.cie.2015.11.011Search in Google Scholar

[30] Bavafa A, Mahdiyar A, Marsono AK. Identifying and assessing the critical factors for effective implementation of safety programs in construction projects. Safety Sci. 2018;106:47-56. https://www.sciencedirect.com/science/article/pii/S0925753517309827.10.1016/j.ssci.2018.02.025Search in Google Scholar

eISSN:
1898-6196
Idioma:
Inglés