Factors affecting customers' intention to voice shopping over smart speaker

Gespeichert in:

Autor*in:	Hsu, Chin-Lung [verfasserIn] Lin, Judy Chuan-Chuan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Artificial intelligence perceived privacy risk perceived value smart speaker quality smart speakers

Übergeordnetes Werk:	Enthalten in: The service industries journal - London : Frank Cass, 1981, 43(2023), 11/12, Seite 785-805
Übergeordnetes Werk:	volume:43 ; year:2023 ; number:11/12 ; pages:785-805

Links:	Link aufrufen Link aufrufen

DOI / URN:	10.1080/02642069.2021.2008913

Katalog-ID:	185502506X

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allfields	10.1080/02642069.2021.2008913 doi (DE-627)185502506X (DE-599)KXP185502506X DE-627 ger DE-627 rda eng Hsu, Chin-Lung verfasserin aut Factors affecting customers' intention to voice shopping over smart speaker Chin-Lung Hsu and Judy Chuan-Chuan Lin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial intelligence (dpeaa)DE-206 perceived privacy risk (dpeaa)DE-206 perceived value (dpeaa)DE-206 smart speaker quality (dpeaa)DE-206 smart speakers (dpeaa)DE-206 Lin, Judy Chuan-Chuan verfasserin aut Enthalten in The service industries journal London : Frank Cass, 1981 43(2023), 11/12, Seite 785-805 Online-Ressource (DE-627)34135192X (DE-600)2067915-4 (DE-576)26325416X 1743-9507 nnns volume:43 year:2023 number:11/12 pages:785-805 https://www.tandfonline.com/doi/pdf/10.1080/02642069.2021.2008913 Verlag lizenzpflichtig https://doi.org/10.1080/02642069.2021.2008913 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 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_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 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_4335 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 11/12 785-805 26 01 0206 4364211370 x1z 09-08-23 26 00 DE-206 AI-enabled applications such as smart speakers (e.g. Amazon's Alexa and Google's Nest Audio) have been widely accepted in the home and workplace. In addition to their native functionality, such devices allow for integration of and access to third party services such as music streaming, internet of things applications and e-commerce. This study seeks to better explain factors that increase device usage 'stickiness', particularly that of the voice shopping function in terms of information system quality, perceived complementarity, perceived value and privacy risk. This study uses survey data from 291 smart speaker users to empirically model the effect of such factors on device stickiness and intention to purchase products/services via smart speakers. Overall, the results reveal that voice recognition quality, utilitarian and hedonic value, and perceived privacy risk explain about 71% of smart speaker stickiness which then determines 58% of voice shopping intention.
spelling	10.1080/02642069.2021.2008913 doi (DE-627)185502506X (DE-599)KXP185502506X DE-627 ger DE-627 rda eng Hsu, Chin-Lung verfasserin aut Factors affecting customers' intention to voice shopping over smart speaker Chin-Lung Hsu and Judy Chuan-Chuan Lin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial intelligence (dpeaa)DE-206 perceived privacy risk (dpeaa)DE-206 perceived value (dpeaa)DE-206 smart speaker quality (dpeaa)DE-206 smart speakers (dpeaa)DE-206 Lin, Judy Chuan-Chuan verfasserin aut Enthalten in The service industries journal London : Frank Cass, 1981 43(2023), 11/12, Seite 785-805 Online-Ressource (DE-627)34135192X (DE-600)2067915-4 (DE-576)26325416X 1743-9507 nnns volume:43 year:2023 number:11/12 pages:785-805 https://www.tandfonline.com/doi/pdf/10.1080/02642069.2021.2008913 Verlag lizenzpflichtig https://doi.org/10.1080/02642069.2021.2008913 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 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_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 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_4335 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 11/12 785-805 26 01 0206 4364211370 x1z 09-08-23 26 00 DE-206 AI-enabled applications such as smart speakers (e.g. Amazon's Alexa and Google's Nest Audio) have been widely accepted in the home and workplace. In addition to their native functionality, such devices allow for integration of and access to third party services such as music streaming, internet of things applications and e-commerce. This study seeks to better explain factors that increase device usage 'stickiness', particularly that of the voice shopping function in terms of information system quality, perceived complementarity, perceived value and privacy risk. This study uses survey data from 291 smart speaker users to empirically model the effect of such factors on device stickiness and intention to purchase products/services via smart speakers. Overall, the results reveal that voice recognition quality, utilitarian and hedonic value, and perceived privacy risk explain about 71% of smart speaker stickiness which then determines 58% of voice shopping intention.
allfields_unstemmed	10.1080/02642069.2021.2008913 doi (DE-627)185502506X (DE-599)KXP185502506X DE-627 ger DE-627 rda eng Hsu, Chin-Lung verfasserin aut Factors affecting customers' intention to voice shopping over smart speaker Chin-Lung Hsu and Judy Chuan-Chuan Lin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial intelligence (dpeaa)DE-206 perceived privacy risk (dpeaa)DE-206 perceived value (dpeaa)DE-206 smart speaker quality (dpeaa)DE-206 smart speakers (dpeaa)DE-206 Lin, Judy Chuan-Chuan verfasserin aut Enthalten in The service industries journal London : Frank Cass, 1981 43(2023), 11/12, Seite 785-805 Online-Ressource (DE-627)34135192X (DE-600)2067915-4 (DE-576)26325416X 1743-9507 nnns volume:43 year:2023 number:11/12 pages:785-805 https://www.tandfonline.com/doi/pdf/10.1080/02642069.2021.2008913 Verlag lizenzpflichtig https://doi.org/10.1080/02642069.2021.2008913 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 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_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 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_4335 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 11/12 785-805 26 01 0206 4364211370 x1z 09-08-23 26 00 DE-206 AI-enabled applications such as smart speakers (e.g. Amazon's Alexa and Google's Nest Audio) have been widely accepted in the home and workplace. In addition to their native functionality, such devices allow for integration of and access to third party services such as music streaming, internet of things applications and e-commerce. This study seeks to better explain factors that increase device usage 'stickiness', particularly that of the voice shopping function in terms of information system quality, perceived complementarity, perceived value and privacy risk. This study uses survey data from 291 smart speaker users to empirically model the effect of such factors on device stickiness and intention to purchase products/services via smart speakers. Overall, the results reveal that voice recognition quality, utilitarian and hedonic value, and perceived privacy risk explain about 71% of smart speaker stickiness which then determines 58% of voice shopping intention.
allfieldsGer	10.1080/02642069.2021.2008913 doi (DE-627)185502506X (DE-599)KXP185502506X DE-627 ger DE-627 rda eng Hsu, Chin-Lung verfasserin aut Factors affecting customers' intention to voice shopping over smart speaker Chin-Lung Hsu and Judy Chuan-Chuan Lin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial intelligence (dpeaa)DE-206 perceived privacy risk (dpeaa)DE-206 perceived value (dpeaa)DE-206 smart speaker quality (dpeaa)DE-206 smart speakers (dpeaa)DE-206 Lin, Judy Chuan-Chuan verfasserin aut Enthalten in The service industries journal London : Frank Cass, 1981 43(2023), 11/12, Seite 785-805 Online-Ressource (DE-627)34135192X (DE-600)2067915-4 (DE-576)26325416X 1743-9507 nnns volume:43 year:2023 number:11/12 pages:785-805 https://www.tandfonline.com/doi/pdf/10.1080/02642069.2021.2008913 Verlag lizenzpflichtig https://doi.org/10.1080/02642069.2021.2008913 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 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_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 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_4335 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 11/12 785-805 26 01 0206 4364211370 x1z 09-08-23 26 00 DE-206 AI-enabled applications such as smart speakers (e.g. Amazon's Alexa and Google's Nest Audio) have been widely accepted in the home and workplace. In addition to their native functionality, such devices allow for integration of and access to third party services such as music streaming, internet of things applications and e-commerce. This study seeks to better explain factors that increase device usage 'stickiness', particularly that of the voice shopping function in terms of information system quality, perceived complementarity, perceived value and privacy risk. This study uses survey data from 291 smart speaker users to empirically model the effect of such factors on device stickiness and intention to purchase products/services via smart speakers. Overall, the results reveal that voice recognition quality, utilitarian and hedonic value, and perceived privacy risk explain about 71% of smart speaker stickiness which then determines 58% of voice shopping intention.
allfieldsSound	10.1080/02642069.2021.2008913 doi (DE-627)185502506X (DE-599)KXP185502506X DE-627 ger DE-627 rda eng Hsu, Chin-Lung verfasserin aut Factors affecting customers' intention to voice shopping over smart speaker Chin-Lung Hsu and Judy Chuan-Chuan Lin 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial intelligence (dpeaa)DE-206 perceived privacy risk (dpeaa)DE-206 perceived value (dpeaa)DE-206 smart speaker quality (dpeaa)DE-206 smart speakers (dpeaa)DE-206 Lin, Judy Chuan-Chuan verfasserin aut Enthalten in The service industries journal London : Frank Cass, 1981 43(2023), 11/12, Seite 785-805 Online-Ressource (DE-627)34135192X (DE-600)2067915-4 (DE-576)26325416X 1743-9507 nnns volume:43 year:2023 number:11/12 pages:785-805 https://www.tandfonline.com/doi/pdf/10.1080/02642069.2021.2008913 Verlag lizenzpflichtig https://doi.org/10.1080/02642069.2021.2008913 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 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_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 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_4335 GBV_ILN_4393 GBV_ILN_4700 AR 43 2023 11/12 785-805 26 01 0206 4364211370 x1z 09-08-23 26 00 DE-206 AI-enabled applications such as smart speakers (e.g. Amazon's Alexa and Google's Nest Audio) have been widely accepted in the home and workplace. In addition to their native functionality, such devices allow for integration of and access to third party services such as music streaming, internet of things applications and e-commerce. This study seeks to better explain factors that increase device usage 'stickiness', particularly that of the voice shopping function in terms of information system quality, perceived complementarity, perceived value and privacy risk. This study uses survey data from 291 smart speaker users to empirically model the effect of such factors on device stickiness and intention to purchase products/services via smart speakers. Overall, the results reveal that voice recognition quality, utilitarian and hedonic value, and perceived privacy risk explain about 71% of smart speaker stickiness which then determines 58% of voice shopping intention.
language	English
source	Enthalten in The service industries journal 43(2023), 11/12, Seite 785-805 volume:43 year:2023 number:11/12 pages:785-805
sourceStr	Enthalten in The service industries journal 43(2023), 11/12, Seite 785-805 volume:43 year:2023 number:11/12 pages:785-805
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topic_facet	Artificial intelligence perceived privacy risk perceived value smart speaker quality smart speakers
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authorswithroles_txt_mv	Hsu, Chin-Lung @@aut@@ Lin, Judy Chuan-Chuan @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
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In addition to their native functionality, such devices allow for integration of and access to third party services such as music streaming, internet of things applications and e-commerce. This study seeks to better explain factors that increase device usage 'stickiness', particularly that of the voice shopping function in terms of information system quality, perceived complementarity, perceived value and privacy risk. This study uses survey data from 291 smart speaker users to empirically model the effect of such factors on device stickiness and intention to purchase products/services via smart speakers. Overall, the results reveal that voice recognition quality, utilitarian and hedonic value, and perceived privacy risk explain about 71% of smart speaker stickiness which then determines 58% of voice shopping intention.</subfield></datafield></record></collection>
author	Hsu, Chin-Lung
spellingShingle	Hsu, Chin-Lung misc Artificial intelligence misc perceived privacy risk misc perceived value misc smart speaker quality misc smart speakers Factors affecting customers' intention to voice shopping over smart speaker
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topic_title	26 00 DE-206 AI-enabled applications such as smart speakers (e.g. Amazon's Alexa and Google's Nest Audio) have been widely accepted in the home and workplace. In addition to their native functionality, such devices allow for integration of and access to third party services such as music streaming, internet of things applications and e-commerce. This study seeks to better explain factors that increase device usage 'stickiness', particularly that of the voice shopping function in terms of information system quality, perceived complementarity, perceived value and privacy risk. This study uses survey data from 291 smart speaker users to empirically model the effect of such factors on device stickiness and intention to purchase products/services via smart speakers. Overall, the results reveal that voice recognition quality, utilitarian and hedonic value, and perceived privacy risk explain about 71% of smart speaker stickiness which then determines 58% of voice shopping intention Factors affecting customers' intention to voice shopping over smart speaker Chin-Lung Hsu and Judy Chuan-Chuan Lin Artificial intelligence (dpeaa)DE-206 perceived privacy risk (dpeaa)DE-206 perceived value (dpeaa)DE-206 smart speaker quality (dpeaa)DE-206 smart speakers (dpeaa)DE-206
topic	misc Artificial intelligence misc perceived privacy risk misc perceived value misc smart speaker quality misc smart speakers
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title	Factors affecting customers' intention to voice shopping over smart speaker
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title_full	Factors affecting customers' intention to voice shopping over smart speaker Chin-Lung Hsu and Judy Chuan-Chuan Lin
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title_sort	factors affecting customers' intention to voice shopping over smart speaker
title_auth	Factors affecting customers' intention to voice shopping over smart speaker
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title_short	Factors affecting customers' intention to voice shopping over smart speaker
url	https://www.tandfonline.com/doi/pdf/10.1080/02642069.2021.2008913 https://doi.org/10.1080/02642069.2021.2008913
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up_date	2024-07-04T19:23:49.057Z
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In addition to their native functionality, such devices allow for integration of and access to third party services such as music streaming, internet of things applications and e-commerce. This study seeks to better explain factors that increase device usage 'stickiness', particularly that of the voice shopping function in terms of information system quality, perceived complementarity, perceived value and privacy risk. This study uses survey data from 291 smart speaker users to empirically model the effect of such factors on device stickiness and intention to purchase products/services via smart speakers. Overall, the results reveal that voice recognition quality, utilitarian and hedonic value, and perceived privacy risk explain about 71% of smart speaker stickiness which then determines 58% of voice shopping intention.</subfield></datafield></record></collection>
score	7.4006615

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Factors affecting customers' intention to voice shopping over smart speaker

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