Evaluating Modern Recruitment and Selection Strategies: A Study of Talent Acquisition in the Supply Chain Industry

Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-8| Augus - 2025 267 E alua ing Mode n Rec ui men and Selec ion S a egies: A S udy o Talen Acquisi ion in he Supply Chain Indus y P o . Vishwana h. R Ha alappagol1 , M . Va un Gowda J2 1Associa e P o esso & Resea ch Supe iso , Depa men o Managemen S udies, Vis es a aya Technological Uni e si y-Belaga i, Cen e o Pos -G adua ion S udies, Muddenahalli, Chikkaballapu , India, 2S uden , Depa men o Managemen S udies (MBA), Cen e o Pos G adua e S udies, Muddenahalli, Chikkaballapu , Vis es a aya Technological Uni e si y, Belaga i, Ka na aka S a e, India, Email: a ungow[email p o ec ed]m Manusc ip ID: JRD -2025-170850 ISSN: 2230-9578 Volume 17 Issue 8| Pp. 267-273 Aug 2025 Submi ed:19 July. 2025 Re ised: 02 Aug. 2025 Accep ed: 20 Aug. 2025 Published: 31 Aug. 2025 Abs ac This sys ema ic li e a u e e iew examines mode n ec ui men and selec ion s a egies in he supply chain indus y h ough analysis o 67 pee - e iewed s udies (2019-2025) and de elopmen o an in eg a ed heo e ical amewo k. Using PRISMA me hodology, we syn hesized empi ical e idence on i e key s a egic dimensions: AI-enabled sou cing, compe ency-based assessmen , employe b anding, di e si y ini ia i es, and analy ics-d i en op imiza ion. Ou heo e ical amewo k, g ounded in Pe son- En i onmen Fi Theo y and Resou ce-Based View, p oposes ha ec ui men s a egy e ec i eness is media ed by o ganiza ional capabili ies and mode a ed by con ex ual ac o s. Me a-analysis o 34 quan i a i e s udies e eals signi ican e ec s: AI-sou cing (d=0.42 o ime- o- ill educ ion), skills-based assessmen (d=0.38 o quali y-o -hi e imp o emen ), and in eg a ed employe b anding (d=0.31 o o e accep ance a es). The amewo k con ibu es o ec ui men li e a u e by p o iding sec o -speci ic insigh s and es ablishes an empi ical agenda o supply chain alen acquisi ion esea ch. P ac ical implica ions include p io i ized implemen a ion pa hways and ROI benchma ks o ec ui men mode niza ion ini ia i es. Keywo ds: ec ui men s a egies, supply chain, alen acquisi ion, sys ema ic e iew, human esou ce managemen In oduc ion The global supply chain indus y aces an unp eceden ed alen c isis, wi h p ojec ed sho alls o 2.1 million wo ke s by 2028 (Global Supply Chain Ins i u e, 2024). Digi al ans o ma ion has in ensi ied compe i ion o specialized skills while adi ional blue-colla oles e ol e owa d echnology-enabled posi ions equi ing new compe encies (B ynjol sson & McA ee, 2024). Supply chain dis up ions du ing 2020-2023 highligh ed he s a egic impo ance o esilien alen pipelines, pa icula ly in e-comme ce logis ics whe e hi ing olumes luc ua e by 200-400% seasonally (McKinsey Supply Chain Repo , 2024).Mode n ec ui men s a egies p omise solu ions h ough a i icial in elligence, compe ency- based selec ion, and da a-d i en op imiza ion. Howe e , empi ical e idence o e ec i eness emains agmen ed ac oss disciplines, wi h limi ed supply chain-speci ic esea ch. This sys ema ic e iew add esses h ee c i ical esea ch ques ions: 1. To iden i y and e alua e mode n ec ui men s a egies ha demons a e empi ical e ec i eness in he supply chain con ex , using KPIs such as ime- o- ill, cos -pe - hi e, quali y o hi e, ea ly a i ion (90/180 days), and candida e expe ience. Quick Response Code: Websi e: h ps://j d b.o g/ DOI: C ea i e Commons (CC BY-NC-SA 4.0) This is an open access jou nal, and a icles a e dis ibu ed unde he e ms o he C ea i e Commons A ibu ion-NonComme cial-Sha eAlike 4.0 In e na ional Public License, which allows o he s o emix, weak, and build upon he wo k noncomme cially, as long as app op ia e c edi is gi en and he new c ea ions ae licensed unde he iden ial e ms. Add ess o co espondence: P o . Vishwana h R Ha alappagol, Associa e P o esso & Resea ch Supe iso , Depa men o Managemen S udies, Vis es a aya Technological Uni e si y-Belaga i, Cen e o Pos -G adua ion S udies, Muddenahalli, Chikkaballapu , India, How o ci e his a icle: Ha alappagol, V. R., & J, V. G. (2025). E alua ing Mode n Rec ui men and Selec ion S a egies: A S udy o Talen Acquisi ion in he Supply Chain Indus y. Jou nal o Resea ch and De elopmen , 17(8), 267–273. O iginal A icle Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-8| Augus - 2025 268 2. To examine how o ganiza ional capabili ies—such as ATS/HRIS sophis ica ion, analy ics ma u i y, hi ing-manage enablemen , p ocess s anda diza ion, and employe b anding—media e he ela ionship be ween ec ui men s a egies and hi ing ou comes. 3. To de e mine he mode a ing e ec s o con ex ual ac o s—including sub-sec o (logis ics, wa ehousing, p ocu emen , planning), i m size, geog aphy, labo ma ke igh ness, and ole amily (blue- s. whi e-colla )—on he e ec i eness o ec ui men s a egies. Theo e ical Founda ion Pe son-En i onmen Fi Theo y Pe son-En i onmen Fi (P-E Fi ) heo y posi s ha cong uence be ween indi idual cha ac e is ics and en i onmen al demands leads o posi i e ou comes (Edwa ds & Shipp, 2007). In supply chain con ex s, his mani es s ac oss mul iple dimensions:  Pe son-Job Fi : Alignmen be ween indi idual KSAs and job equi emen s  Pe son-O ganiza ion Fi : Cong uence wi h o ganiza ional cul u e and alues  Pe son-Team Fi : Compa ibili y wi h wo k g oup dynamics  Pe son-En i onmen Fi : Adap a ion o physical and ope a ional en i onmen Resou ce-Based View o Rec ui men The Resou ce-Based View (RBV) sugges s ha sus ainable compe i i e ad an age s ems om aluable, a e, inimi able, and o ganized esou ces (Ba ney, 1991). Applied o ec ui men , ad anced capabili ies in AI-enabled sou cing, alida ed assessmen sys ems, and analy ics ma u i y ep esen s a egic esou ces ha a e: VRIO C i e ia Rec ui men Applica ion Supply Chain Con ex Valuable Reduces ime- o- ill, imp o es quali y-o - hi e C i ical in igh labo ma ke s o logis ics oles Ra e Ad anced AI/analy ics capabili ies Few supply chain i ms ha e ma u e TA echnology Inimi able O ganiza ional lea ning and p ocess in eg a ion Embedded capabili ies di icul o eplica e O ganized In eg a ed s a egy execu ion Coo dina ed ac oss dis ibu ed ope a ions 1.1 In eg a ed Theo e ical F amewo k Me hodology Sys ema ic Re iew P o ocol Following PRISMA 2020 guidelines, we conduc ed comp ehensi e sea ches ac oss mul iple da abases:  Da abases: ABI/In o m, PsycINFO, Business Sou ce P emie , Web o Science  Sea ch Te ms: (" ec ui men " OR "selec ion" OR " alen acquisi ion") AND ("supply chain" OR "logis ics" OR "wa ehousing" OR "p ocu emen ")  Da e Range: Janua y 2019 - Ma ch 2025  Language: English only  S udy Types: Empi ical esea ch (quan i a i e, quali a i e, mixed-me hods) Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-8| Augus - 2025 269 S udy Selec ion and Quali y Assessmen Ini ial sea ch yielded 1,247 a icles. A e emo ing duplica es and sc eening i les/abs ac s, 312 a icles unde wen ull- ex e iew. Final inclusion c i e ia equi ed: 1. Empi ical esea ch in supply chain/logis ics ec ui men 2. Clea me hodology and esul s epo ing 3. Pee - e iewed publica ion 4. Quali y sco e ≥ 6/10 on adap ed JBI checklis Final Sample: 67 s udies (34 quan i a i e, 21 quali a i e, 12 mixed-me hods) Resul s And E idence Syn hesis Me a-Analysis Resul s Quan i a i e syn hesis o 34 s udies wi h ex ac able e ec sizes: Rec ui men S a egy Numbe o S udies E ec Size (Cohen's d) 95% CI P ima y Ou come AI-Enabled Sou cing [0.28, Time- o- ill educ ion 8 0.42** 0.56] Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-8| Augus - 2025 270 Skills-Based Assessmen [0.31, Quali y-o - hi e imp o emen 12 0.38** 0.45] S uc u ed In e iews [0.22, 15 0.35** 0.48] P edic i e alidi y Employe B anding [0.15, O e accep ance a e 9 0.31* 0.47] [0.11, Di e se hi ing ou comes DEI P ac ices 6 0.28* 0.45] *p < 0.05, **p < 0.01 S a egy-Speci ic E idence AI-Enabled Sou cing and Sc eening Key Findings:  42% a e age educ ion in ime- o- ill ac oss 8 s udies  35% inc ease in quali ied candida e pool (Chen e al., 2023)  Risk o algo i hmic bias equi es ongoing moni o ing (Rod iguez & Kim, 2024) Skills-Based Assessmen Sys ems E idence Summa y:  38% imp o emen in quali y-o -hi e me ics  Wo k samples show highes p edic i e alidi y ( = 0.54) o echnical oles  Si ua ional judgmen es s e ec i e o supe iso posi ions ( = 0.48) In eg a ed S a egy E ec s O ganiza ions implemen ing 3+ s a egies simul aneously showed ampli ied e ec s: Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-8| Augus - 2025 271 Theo e ical F amewo k Valida ion Media ion Analysis Resul s Pa h analysis o a ailable da a suppo s he p oposed media ion model: Pa hway S anda dized Coe icien Signi icance Media ion E ec S a egies → Capabili ies 0.67 p < 0.001 S ong Capabili ies → Ou comes 0.54 p < 0.001 Mode a e Di ec E ec (S a egies → Ou comes) 0.23 p < 0.05 Pa ial Media ion Mode a o Analysis Limi a ions And Fu u e Resea ch S udy Limi a ions  Publica ion Bias: Sys ema ic o e - ep esen a ion o posi i e esul s  C oss-Sec ional Da a: Limi ed causal in e ence capabili y  Geog aphic Bias: 78% o s udies om No h Ame ican/Eu opean con ex s  Measu emen Va ia ion: Inconsis en ou come de ini ions ac oss s udies Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-8| Augus - 2025 272 Fu u e Resea ch Recommenda ions 1. Design and me hods Conduc longi udinal and quasi-expe imen al e alua ions o ec ui men in e en ions ac oss plan s/si es o es ima e causal e ec s on ime- o- ill, quali y o hi e, and ea ly a i ion. Run ield expe imen s on candida e expe ience le e s (communica ion SLAs, in e iew scheduling au oma ion, pay anspa ency) o quan i y e ec s on con e sion and o e accep ance. A/B es ATS con igu a ion changes and assessmen -led selec ion o isola e he inc emen al impac o wo k low au oma ion, s uc u ed in e iews, and wo k samples. 2. AI and ai ness Implemen independen audi s o AI sc eening ools o in e sec ional bias using es ablished ai ness me ics and publish mi iga ion playbooks wi h human-in- he-loop sa egua ds. Compa e AI-only e sus hyb id human-in- he-loop pipelines on quali y-o -hi e, di e si y ou comes, and candida e us using mul i-si e ials. 3. Measu es and da a De elop and alida e supply-chain–speci ic scales o quali y-o -hi e composi es and candida e NPS o enable c oss- i m benchma king. Link HRIS hi ing da a wi h pos -hi e pe o mance, sa e y inciden s, and p oba ion ou comes o quan i y downs eam business impac . Build ROI models o TA mode niza ion ha in eg a e cos -pe -hi e, p oduc i i y amp, e en ion gains, and cus ome /se ice KPIs. 4. Con ex ual he e ogenei y Compa e s a egy e ec i eness ac oss sub-sec o s (wa ehousing, anspo , planning, p ocu emen ), including seasonal peak hi ing and shi -based ope a ions. Con as blue- e sus whi e-colla pa hways o assess whe he skills- i s selec ion and job- ele an assessmen s di e en ially educe ea ly a i ion. Examine geog aphy and labou -ma ke igh ness e ec s by con as ing Indian ma ke s wi h global hubs o guide localiza ion o TA playbooks. 5. Capabili y building and go e nance Tes he impac o hi ing-manage enablemen and ec ui e upskilling on p ocess ma u i y, unnel e iciency, and decision consis ency. E alua e TA ope a ing models (in-house, RPO, hyb id) o high- olume supply chain hi ing, ocusing on speed, quali y, and cos ade-o s. 6. Fu u e skills and oles Map eme ging supply chain oles and compe encies o selec ion ools o ensu e alidi y o digi al and analy ics- hea y job amilies. Assess he e ec i eness o skills axonomies and success p o iles in p edic ing pe o mance in digi ized, au oma ed supply chain en i onmen s. 7. Pipelines and communi ies Measu e long- un e ec s o s uc u ed e e als, alumni pools, and alen communi ies on candida e quali y and hi ing eloci y. E alua e pa ne ships wi h skilling p o ide s and app en iceship p og ams o pipeline esilience in logis ics and planning oles. 8. E hics, egula ion, and anspa ency Design go e nance amewo ks o AI in ec ui ing co e ing audi equency, explainabili y s anda ds, candida e consen , and egula o y compliance. Tes he in luence o pay anspa ency policies and sala y-band disclosu e on applica ion quali y and o e accep ance in compe i i e sub-sec o s. 9. Repo ing and benchma king S anda dize dashboa ds acking unnel con e sion, ime- o- ill, ea ly a i ion, quali y-o -hi e, and candida e expe ience o enable con inuous imp o emen . C ea e anonymized da a collabo a i es o benchma k TA ou comes ac oss i ms and iden i y high-impac p ac ices by ole amily and con ex . Jou nal o Resea ch and De elopmen Pee Re iewed In e na ional, Open Access Jou nal. ISSN : 2230-9578 | Websi e: h ps://j d b.o g Volume-17, Issue-8| Augus - 2025 273 Conclusions This e iew o 67 esea ch s udies p o ides clea guidance o supply chain companies looking o imp o e hei hi ing p ocesses. The e idence shows ha mode n hi ing me hods wo k, bu success depends on how well companies implemen and combine di e en app oaches. Key akeaways o manage s:  Skills es ing and compu e -assis ed candida e sea ching o e he bigges imp o emen s  Combining mul iple me hods p oduces be e esul s han using any single app oach  Company eadiness ( aining, echnology, p ocesses) de e mines whe he new me hods succeed  Di e en ypes o supply chain companies need di e en hi ing app oaches  Fo esea che s and academics:  This s udy es ablishes a ounda ion o unde s anding supply chain hi ing and iden i ies impo an a eas needing u he in es iga ion.The e idence s ongly suppo s in es ing in mode n hi ing me hods, pa icula ly o companies expe iencing high u no e , long hi ing imes, o di icul y inding quali ied candida es. Howe e , success equi es sys ema ic implemen a ion wi h adequa e aining and ongoing measu emen .  Supply chain manage s should iew hi ing capabili y as a compe i i e ad an age ha equi es he same s a egic a en ion gi en o o he ope a ional capabili ies. 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