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Efficient team formation from pool of talent: comparing AHP-LP and TOPSIS-LP approach

机译:高效的团队从人才池中形成:比较AHP-LP和TopSIS-LP方法

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Purpose This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical. Design/methodology/approach Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model. Findings As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team. Research limitations/implications Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection. Originality/value The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.
机译:目的本研究旨在为一家准备开办新的冷链业务的供应链企业提出一个优化模型,以利用先进的多准则决策方法选择最佳员工。设计/方法/方法研究已在印度北部的一家供应链公司进行,该公司希望在高效团队成员的帮助下扩大业务。该公司从人才库中初步筛选后,总共考虑了38名申请人。分别采用AHP-LP和TOPSIS-LP综合方法对人员选拔模型进行评价和实施。此外,对两种方法进行了比较,以找到最佳拟合和优化模型。调查结果根据调查结果,可以使用AHP和TOPSIS从可用的备选方案中选择最佳候选人。TOPSIS被发现更容易实施,因为它只涉及对申请者就各自工作概况所需的每项技能进行一次排名,而AHP涉及候选人之间就各自工作概况所需的每项技能进行成对比较,并对每项比较进行规范化,从而形成比较矩阵的数量。然而,AHP更可靠,因为它考虑了每一级成对比较的一致性检查。因此,有机会避免或修正人类的判断错误。综合排名和优化方法通过建议相关职位来组建高效团队,从而将成本降至最低。研究局限性/含义:一组面试官参与了决策过程,因此,排名方法中存在可能影响团队决策的偏差。研究仅限于印度北部的一个特定地理区域,因此也需要在其他地区进行测试,以便进行概括。本研究将有助于第三方物流(3PL)和其他相关企业有效地选择团队。原创性/价值研究者关注于通过考虑组织的约束,形式化潜在候选人选择的方法。据观察,关于AHP-LP或TOPSIS-LP综合方法在选择过程中的应用,已经进行了有限的研究。因此,本研究提出了两种综合排名优化方法,并通过比较这两种方法提出了最佳匹配。

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