Hybrid intelligence in procurement: Disillusionment with AI’s superiority?

Despite the numerous benefits of general artificial intelligence applications, there are challenges in its introduction and implementation. This paper examines the limits of artificial intelligence and the capabilities of so-called hybrid intelligence, the interplay between human and artificial inte...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Burger, Markus [verfasserIn] Nitsche, Anna-Maria [verfasserIn] Arlinghaus, Julia [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Hybrid intelligence Artificial intelligence Procurement Case study

Übergeordnetes Werk:	Enthalten in: Computers in industry - Amsterdam [u.a.] : Elsevier Science, 1979, 150
Übergeordnetes Werk:	volume:150

DOI / URN:	10.1016/j.compind.2023.103946

Katalog-ID:	ELV010239189

Internformat


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allfields	10.1016/j.compind.2023.103946 doi (DE-627)ELV010239189 (ELSEVIER)S0166-3615(23)00096-9 DE-627 ger DE-627 rda eng 070 070 VZ 54.80 bkl 50.03 bkl Burger, Markus verfasserin (orcid)0000-0002-6185-9738 aut Hybrid intelligence in procurement: Disillusionment with AI’s superiority? 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Despite the numerous benefits of general artificial intelligence applications, there are challenges in its introduction and implementation. This paper examines the limits of artificial intelligence and the capabilities of so-called hybrid intelligence, the interplay between human and artificial intelligence. We present four in-depth case studies of the combined use of human and artificial intelligence in procurement processes, such as demand planning, supplier selection, order management and procurement analytics. This study identifies the advantages and disadvantages of human and artificial intelligence in different applications and proposes a model process of hybrid intelligence in procurement. The findings are summarized in eight propositions concerning the impact and role of human and artificial intelligence as well as mutual learning. We conclude that the unilateral application of artificial or human intelligence poses risks in numerous process steps, whereas an iterative hybrid intelligent process offsets shortcomings and boosts performance regarding cost, time, and quality. Practical implications include the identification of benefits and risks of human, artificial and hybrid intelligence in typical processes at the buyer-supplier interface and an outlook on the future of artificial and hybrid intelligence in procurement. Hybrid intelligence Artificial intelligence Procurement Case study Nitsche, Anna-Maria verfasserin (orcid)0000-0003-3164-5066 aut Arlinghaus, Julia verfasserin aut Enthalten in Computers in industry Amsterdam [u.a.] : Elsevier Science, 1979 150 Online-Ressource (DE-627)320415767 (DE-600)2001900-2 (DE-576)094056633 0166-3615 nnns volume:150 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.80 Angewandte Informatik VZ 50.03 Methoden und Techniken der Ingenieurwissenschaften VZ AR 150
spelling	10.1016/j.compind.2023.103946 doi (DE-627)ELV010239189 (ELSEVIER)S0166-3615(23)00096-9 DE-627 ger DE-627 rda eng 070 070 VZ 54.80 bkl 50.03 bkl Burger, Markus verfasserin (orcid)0000-0002-6185-9738 aut Hybrid intelligence in procurement: Disillusionment with AI’s superiority? 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Despite the numerous benefits of general artificial intelligence applications, there are challenges in its introduction and implementation. This paper examines the limits of artificial intelligence and the capabilities of so-called hybrid intelligence, the interplay between human and artificial intelligence. We present four in-depth case studies of the combined use of human and artificial intelligence in procurement processes, such as demand planning, supplier selection, order management and procurement analytics. This study identifies the advantages and disadvantages of human and artificial intelligence in different applications and proposes a model process of hybrid intelligence in procurement. The findings are summarized in eight propositions concerning the impact and role of human and artificial intelligence as well as mutual learning. We conclude that the unilateral application of artificial or human intelligence poses risks in numerous process steps, whereas an iterative hybrid intelligent process offsets shortcomings and boosts performance regarding cost, time, and quality. Practical implications include the identification of benefits and risks of human, artificial and hybrid intelligence in typical processes at the buyer-supplier interface and an outlook on the future of artificial and hybrid intelligence in procurement. Hybrid intelligence Artificial intelligence Procurement Case study Nitsche, Anna-Maria verfasserin (orcid)0000-0003-3164-5066 aut Arlinghaus, Julia verfasserin aut Enthalten in Computers in industry Amsterdam [u.a.] : Elsevier Science, 1979 150 Online-Ressource (DE-627)320415767 (DE-600)2001900-2 (DE-576)094056633 0166-3615 nnns volume:150 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.80 Angewandte Informatik VZ 50.03 Methoden und Techniken der Ingenieurwissenschaften VZ AR 150
allfields_unstemmed	10.1016/j.compind.2023.103946 doi (DE-627)ELV010239189 (ELSEVIER)S0166-3615(23)00096-9 DE-627 ger DE-627 rda eng 070 070 VZ 54.80 bkl 50.03 bkl Burger, Markus verfasserin (orcid)0000-0002-6185-9738 aut Hybrid intelligence in procurement: Disillusionment with AI’s superiority? 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Despite the numerous benefits of general artificial intelligence applications, there are challenges in its introduction and implementation. This paper examines the limits of artificial intelligence and the capabilities of so-called hybrid intelligence, the interplay between human and artificial intelligence. We present four in-depth case studies of the combined use of human and artificial intelligence in procurement processes, such as demand planning, supplier selection, order management and procurement analytics. This study identifies the advantages and disadvantages of human and artificial intelligence in different applications and proposes a model process of hybrid intelligence in procurement. The findings are summarized in eight propositions concerning the impact and role of human and artificial intelligence as well as mutual learning. We conclude that the unilateral application of artificial or human intelligence poses risks in numerous process steps, whereas an iterative hybrid intelligent process offsets shortcomings and boosts performance regarding cost, time, and quality. Practical implications include the identification of benefits and risks of human, artificial and hybrid intelligence in typical processes at the buyer-supplier interface and an outlook on the future of artificial and hybrid intelligence in procurement. Hybrid intelligence Artificial intelligence Procurement Case study Nitsche, Anna-Maria verfasserin (orcid)0000-0003-3164-5066 aut Arlinghaus, Julia verfasserin aut Enthalten in Computers in industry Amsterdam [u.a.] : Elsevier Science, 1979 150 Online-Ressource (DE-627)320415767 (DE-600)2001900-2 (DE-576)094056633 0166-3615 nnns volume:150 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.80 Angewandte Informatik VZ 50.03 Methoden und Techniken der Ingenieurwissenschaften VZ AR 150
allfieldsGer	10.1016/j.compind.2023.103946 doi (DE-627)ELV010239189 (ELSEVIER)S0166-3615(23)00096-9 DE-627 ger DE-627 rda eng 070 070 VZ 54.80 bkl 50.03 bkl Burger, Markus verfasserin (orcid)0000-0002-6185-9738 aut Hybrid intelligence in procurement: Disillusionment with AI’s superiority? 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Despite the numerous benefits of general artificial intelligence applications, there are challenges in its introduction and implementation. This paper examines the limits of artificial intelligence and the capabilities of so-called hybrid intelligence, the interplay between human and artificial intelligence. We present four in-depth case studies of the combined use of human and artificial intelligence in procurement processes, such as demand planning, supplier selection, order management and procurement analytics. This study identifies the advantages and disadvantages of human and artificial intelligence in different applications and proposes a model process of hybrid intelligence in procurement. The findings are summarized in eight propositions concerning the impact and role of human and artificial intelligence as well as mutual learning. We conclude that the unilateral application of artificial or human intelligence poses risks in numerous process steps, whereas an iterative hybrid intelligent process offsets shortcomings and boosts performance regarding cost, time, and quality. Practical implications include the identification of benefits and risks of human, artificial and hybrid intelligence in typical processes at the buyer-supplier interface and an outlook on the future of artificial and hybrid intelligence in procurement. Hybrid intelligence Artificial intelligence Procurement Case study Nitsche, Anna-Maria verfasserin (orcid)0000-0003-3164-5066 aut Arlinghaus, Julia verfasserin aut Enthalten in Computers in industry Amsterdam [u.a.] : Elsevier Science, 1979 150 Online-Ressource (DE-627)320415767 (DE-600)2001900-2 (DE-576)094056633 0166-3615 nnns volume:150 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.80 Angewandte Informatik VZ 50.03 Methoden und Techniken der Ingenieurwissenschaften VZ AR 150
allfieldsSound	10.1016/j.compind.2023.103946 doi (DE-627)ELV010239189 (ELSEVIER)S0166-3615(23)00096-9 DE-627 ger DE-627 rda eng 070 070 VZ 54.80 bkl 50.03 bkl Burger, Markus verfasserin (orcid)0000-0002-6185-9738 aut Hybrid intelligence in procurement: Disillusionment with AI’s superiority? 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Despite the numerous benefits of general artificial intelligence applications, there are challenges in its introduction and implementation. This paper examines the limits of artificial intelligence and the capabilities of so-called hybrid intelligence, the interplay between human and artificial intelligence. We present four in-depth case studies of the combined use of human and artificial intelligence in procurement processes, such as demand planning, supplier selection, order management and procurement analytics. This study identifies the advantages and disadvantages of human and artificial intelligence in different applications and proposes a model process of hybrid intelligence in procurement. The findings are summarized in eight propositions concerning the impact and role of human and artificial intelligence as well as mutual learning. We conclude that the unilateral application of artificial or human intelligence poses risks in numerous process steps, whereas an iterative hybrid intelligent process offsets shortcomings and boosts performance regarding cost, time, and quality. Practical implications include the identification of benefits and risks of human, artificial and hybrid intelligence in typical processes at the buyer-supplier interface and an outlook on the future of artificial and hybrid intelligence in procurement. Hybrid intelligence Artificial intelligence Procurement Case study Nitsche, Anna-Maria verfasserin (orcid)0000-0003-3164-5066 aut Arlinghaus, Julia verfasserin aut Enthalten in Computers in industry Amsterdam [u.a.] : Elsevier Science, 1979 150 Online-Ressource (DE-627)320415767 (DE-600)2001900-2 (DE-576)094056633 0166-3615 nnns volume:150 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.80 Angewandte Informatik VZ 50.03 Methoden und Techniken der Ingenieurwissenschaften VZ AR 150
language	English
source	Enthalten in Computers in industry 150 volume:150
sourceStr	Enthalten in Computers in industry 150 volume:150
format_phy_str_mv	Article
bklname	Angewandte Informatik Methoden und Techniken der Ingenieurwissenschaften
institution	findex.gbv.de
topic_facet	Hybrid intelligence Artificial intelligence Procurement Case study
dewey-raw	070
isfreeaccess_bool	false
container_title	Computers in industry
authorswithroles_txt_mv	Burger, Markus @@aut@@ Nitsche, Anna-Maria @@aut@@ Arlinghaus, Julia @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	320415767
dewey-sort	270
id	ELV010239189
language_de	englisch
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title	Hybrid intelligence in procurement: Disillusionment with AI’s superiority?
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title_sort	hybrid intelligence in procurement: disillusionment with ai’s superiority?
title_auth	Hybrid intelligence in procurement: Disillusionment with AI’s superiority?
abstract	Despite the numerous benefits of general artificial intelligence applications, there are challenges in its introduction and implementation. This paper examines the limits of artificial intelligence and the capabilities of so-called hybrid intelligence, the interplay between human and artificial intelligence. We present four in-depth case studies of the combined use of human and artificial intelligence in procurement processes, such as demand planning, supplier selection, order management and procurement analytics. This study identifies the advantages and disadvantages of human and artificial intelligence in different applications and proposes a model process of hybrid intelligence in procurement. The findings are summarized in eight propositions concerning the impact and role of human and artificial intelligence as well as mutual learning. We conclude that the unilateral application of artificial or human intelligence poses risks in numerous process steps, whereas an iterative hybrid intelligent process offsets shortcomings and boosts performance regarding cost, time, and quality. Practical implications include the identification of benefits and risks of human, artificial and hybrid intelligence in typical processes at the buyer-supplier interface and an outlook on the future of artificial and hybrid intelligence in procurement.
abstractGer	Despite the numerous benefits of general artificial intelligence applications, there are challenges in its introduction and implementation. This paper examines the limits of artificial intelligence and the capabilities of so-called hybrid intelligence, the interplay between human and artificial intelligence. We present four in-depth case studies of the combined use of human and artificial intelligence in procurement processes, such as demand planning, supplier selection, order management and procurement analytics. This study identifies the advantages and disadvantages of human and artificial intelligence in different applications and proposes a model process of hybrid intelligence in procurement. The findings are summarized in eight propositions concerning the impact and role of human and artificial intelligence as well as mutual learning. We conclude that the unilateral application of artificial or human intelligence poses risks in numerous process steps, whereas an iterative hybrid intelligent process offsets shortcomings and boosts performance regarding cost, time, and quality. Practical implications include the identification of benefits and risks of human, artificial and hybrid intelligence in typical processes at the buyer-supplier interface and an outlook on the future of artificial and hybrid intelligence in procurement.
abstract_unstemmed	Despite the numerous benefits of general artificial intelligence applications, there are challenges in its introduction and implementation. This paper examines the limits of artificial intelligence and the capabilities of so-called hybrid intelligence, the interplay between human and artificial intelligence. We present four in-depth case studies of the combined use of human and artificial intelligence in procurement processes, such as demand planning, supplier selection, order management and procurement analytics. This study identifies the advantages and disadvantages of human and artificial intelligence in different applications and proposes a model process of hybrid intelligence in procurement. The findings are summarized in eight propositions concerning the impact and role of human and artificial intelligence as well as mutual learning. We conclude that the unilateral application of artificial or human intelligence poses risks in numerous process steps, whereas an iterative hybrid intelligent process offsets shortcomings and boosts performance regarding cost, time, and quality. Practical implications include the identification of benefits and risks of human, artificial and hybrid intelligence in typical processes at the buyer-supplier interface and an outlook on the future of artificial and hybrid intelligence in procurement.
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title_short	Hybrid intelligence in procurement: Disillusionment with AI’s superiority?
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