Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model

This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain expertsâ€™ opinions and practical experience. This study develops an integrated rough multiple attri...
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Autor*in:	James J. H. Liou [verfasserIn] ArtÅ«ras Kaklauskas [verfasserIn] Ming-Tsang Lu [verfasserIn] Yen-Ching Chuang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	strategic orientation hotel service performance multiple attribute group decision making (MAGDM) rough number rough DEMATEL-based analytic network process (RDANP) modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G)

Übergeordnetes Werk:	In: Technological and Economic Development of Economy - Vilnius Gediminas Technical University, 2018, 25(2019), 2
Übergeordnetes Werk:	volume:25 ; year:2019 ; number:2

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3846/tede.2019.8419

Katalog-ID:	DOAJ085785490

Internformat


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allfields	10.3846/tede.2019.8419 doi (DE-627)DOAJ085785490 (DE-599)DOAJff80428b5f1a42ab94c4be6f4f2323c9 DE-627 ger DE-627 rakwb eng HD72-88 HF5001-6182 James J. H. Liou verfasserin aut Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain expertsâ€™ opinions and practical experience. This study develops an integrated rough multiple attribute group decision-making (MAGDM) model that supports decision makers to acquire a systematic view of strategic methods for improving performance to the desired level. The model incorporates three methods. First, we use the rough number approach to determine group opinions from the practical experience of domain experts. We then apply the rough decision making trial and evaluation laboratory (DEMATEL)-based analytic network process to develop a rough influential network relation map (RINRM). The rough influential weights based on strategic orientations and their corresponding attributes are calculated. Finally, we use the modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) and the influential weights to calculate the relationship ratio between performance and aspiration level. Our model flexibly assesses the vagueness involved in decision-making, enabling more objective expert estimation of attributes in subjective surroundings than traditional multiple attributes decision-making models. We use the Taiwanese hotel industry as an empirical case study. Our study provides useful information on how to enhance hotel services and achieve optimal performance based upon expert judgments and the RINRM. The results show that customer orientation is the optimal strategy for hotel service promotion. strategic orientation hotel service performance multiple attribute group decision making (MAGDM) rough number rough DEMATEL-based analytic network process (RDANP) modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) Economic growth, development, planning Business ArtÅ«ras Kaklauskas verfasserin aut Ming-Tsang Lu verfasserin aut Yen-Ching Chuang verfasserin aut In Technological and Economic Development of Economy Vilnius Gediminas Technical University, 2018 25(2019), 2 (DE-627)507186044 (DE-600)2220773-9 20294921 nnns volume:25 year:2019 number:2 https://doi.org/10.3846/tede.2019.8419 kostenfrei https://doaj.org/article/ff80428b5f1a42ab94c4be6f4f2323c9 kostenfrei http://localhost/journals.vgtu.lt/index.php/TEDE/article/view/8419 kostenfrei https://doaj.org/toc/2029-4913 Journal toc kostenfrei https://doaj.org/toc/2029-4921 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 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_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_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 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_2472 GBV_ILN_4012 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 25 2019 2
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allfieldsGer	10.3846/tede.2019.8419 doi (DE-627)DOAJ085785490 (DE-599)DOAJff80428b5f1a42ab94c4be6f4f2323c9 DE-627 ger DE-627 rakwb eng HD72-88 HF5001-6182 James J. H. Liou verfasserin aut Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain expertsâ€™ opinions and practical experience. This study develops an integrated rough multiple attribute group decision-making (MAGDM) model that supports decision makers to acquire a systematic view of strategic methods for improving performance to the desired level. The model incorporates three methods. First, we use the rough number approach to determine group opinions from the practical experience of domain experts. We then apply the rough decision making trial and evaluation laboratory (DEMATEL)-based analytic network process to develop a rough influential network relation map (RINRM). The rough influential weights based on strategic orientations and their corresponding attributes are calculated. Finally, we use the modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) and the influential weights to calculate the relationship ratio between performance and aspiration level. Our model flexibly assesses the vagueness involved in decision-making, enabling more objective expert estimation of attributes in subjective surroundings than traditional multiple attributes decision-making models. We use the Taiwanese hotel industry as an empirical case study. Our study provides useful information on how to enhance hotel services and achieve optimal performance based upon expert judgments and the RINRM. The results show that customer orientation is the optimal strategy for hotel service promotion. strategic orientation hotel service performance multiple attribute group decision making (MAGDM) rough number rough DEMATEL-based analytic network process (RDANP) modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) Economic growth, development, planning Business ArtÅ«ras Kaklauskas verfasserin aut Ming-Tsang Lu verfasserin aut Yen-Ching Chuang verfasserin aut In Technological and Economic Development of Economy Vilnius Gediminas Technical University, 2018 25(2019), 2 (DE-627)507186044 (DE-600)2220773-9 20294921 nnns volume:25 year:2019 number:2 https://doi.org/10.3846/tede.2019.8419 kostenfrei https://doaj.org/article/ff80428b5f1a42ab94c4be6f4f2323c9 kostenfrei http://localhost/journals.vgtu.lt/index.php/TEDE/article/view/8419 kostenfrei https://doaj.org/toc/2029-4913 Journal toc kostenfrei https://doaj.org/toc/2029-4921 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 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_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_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 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_2472 GBV_ILN_4012 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 25 2019 2
allfieldsSound	10.3846/tede.2019.8419 doi (DE-627)DOAJ085785490 (DE-599)DOAJff80428b5f1a42ab94c4be6f4f2323c9 DE-627 ger DE-627 rakwb eng HD72-88 HF5001-6182 James J. H. Liou verfasserin aut Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain expertsâ€™ opinions and practical experience. This study develops an integrated rough multiple attribute group decision-making (MAGDM) model that supports decision makers to acquire a systematic view of strategic methods for improving performance to the desired level. The model incorporates three methods. First, we use the rough number approach to determine group opinions from the practical experience of domain experts. We then apply the rough decision making trial and evaluation laboratory (DEMATEL)-based analytic network process to develop a rough influential network relation map (RINRM). The rough influential weights based on strategic orientations and their corresponding attributes are calculated. Finally, we use the modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) and the influential weights to calculate the relationship ratio between performance and aspiration level. Our model flexibly assesses the vagueness involved in decision-making, enabling more objective expert estimation of attributes in subjective surroundings than traditional multiple attributes decision-making models. We use the Taiwanese hotel industry as an empirical case study. Our study provides useful information on how to enhance hotel services and achieve optimal performance based upon expert judgments and the RINRM. The results show that customer orientation is the optimal strategy for hotel service promotion. strategic orientation hotel service performance multiple attribute group decision making (MAGDM) rough number rough DEMATEL-based analytic network process (RDANP) modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) Economic growth, development, planning Business ArtÅ«ras Kaklauskas verfasserin aut Ming-Tsang Lu verfasserin aut Yen-Ching Chuang verfasserin aut In Technological and Economic Development of Economy Vilnius Gediminas Technical University, 2018 25(2019), 2 (DE-627)507186044 (DE-600)2220773-9 20294921 nnns volume:25 year:2019 number:2 https://doi.org/10.3846/tede.2019.8419 kostenfrei https://doaj.org/article/ff80428b5f1a42ab94c4be6f4f2323c9 kostenfrei http://localhost/journals.vgtu.lt/index.php/TEDE/article/view/8419 kostenfrei https://doaj.org/toc/2029-4913 Journal toc kostenfrei https://doaj.org/toc/2029-4921 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 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_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_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 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_2472 GBV_ILN_4012 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 25 2019 2
language	English
source	In Technological and Economic Development of Economy 25(2019), 2 volume:25 year:2019 number:2
sourceStr	In Technological and Economic Development of Economy 25(2019), 2 volume:25 year:2019 number:2
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	strategic orientation hotel service performance multiple attribute group decision making (MAGDM) rough number rough DEMATEL-based analytic network process (RDANP) modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) Economic growth, development, planning Business
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container_title	Technological and Economic Development of Economy
authorswithroles_txt_mv	James J. H. Liou @@aut@@ ArtÅ«ras Kaklauskas @@aut@@ Ming-Tsang Lu @@aut@@ Yen-Ching Chuang @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	507186044
id	DOAJ085785490
language_de	englisch
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callnumber-first	H - Social Science
author	James J. H. Liou
spellingShingle	James J. H. Liou misc HD72-88 misc HF5001-6182 misc strategic orientation misc hotel service performance misc multiple attribute group decision making (MAGDM) misc rough number misc rough DEMATEL-based analytic network process (RDANP) misc modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) misc Economic growth, development, planning misc Business Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model
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topic_title	HD72-88 HF5001-6182 Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model strategic orientation hotel service performance multiple attribute group decision making (MAGDM) rough number rough DEMATEL-based analytic network process (RDANP) modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G)
topic	misc HD72-88 misc HF5001-6182 misc strategic orientation misc hotel service performance misc multiple attribute group decision making (MAGDM) misc rough number misc rough DEMATEL-based analytic network process (RDANP) misc modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) misc Economic growth, development, planning misc Business
topic_unstemmed	misc HD72-88 misc HF5001-6182 misc strategic orientation misc hotel service performance misc multiple attribute group decision making (MAGDM) misc rough number misc rough DEMATEL-based analytic network process (RDANP) misc modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) misc Economic growth, development, planning misc Business
topic_browse	misc HD72-88 misc HF5001-6182 misc strategic orientation misc hotel service performance misc multiple attribute group decision making (MAGDM) misc rough number misc rough DEMATEL-based analytic network process (RDANP) misc modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) misc Economic growth, development, planning misc Business
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title	Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model
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title_full	Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model
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title_sort	improving strategic orientations for promoting hotel services using an integrated rough magdm model
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title_auth	Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model
abstract	This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain expertsâ€™ opinions and practical experience. This study develops an integrated rough multiple attribute group decision-making (MAGDM) model that supports decision makers to acquire a systematic view of strategic methods for improving performance to the desired level. The model incorporates three methods. First, we use the rough number approach to determine group opinions from the practical experience of domain experts. We then apply the rough decision making trial and evaluation laboratory (DEMATEL)-based analytic network process to develop a rough influential network relation map (RINRM). The rough influential weights based on strategic orientations and their corresponding attributes are calculated. Finally, we use the modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) and the influential weights to calculate the relationship ratio between performance and aspiration level. Our model flexibly assesses the vagueness involved in decision-making, enabling more objective expert estimation of attributes in subjective surroundings than traditional multiple attributes decision-making models. We use the Taiwanese hotel industry as an empirical case study. Our study provides useful information on how to enhance hotel services and achieve optimal performance based upon expert judgments and the RINRM. The results show that customer orientation is the optimal strategy for hotel service promotion.
abstractGer	This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain expertsâ€™ opinions and practical experience. This study develops an integrated rough multiple attribute group decision-making (MAGDM) model that supports decision makers to acquire a systematic view of strategic methods for improving performance to the desired level. The model incorporates three methods. First, we use the rough number approach to determine group opinions from the practical experience of domain experts. We then apply the rough decision making trial and evaluation laboratory (DEMATEL)-based analytic network process to develop a rough influential network relation map (RINRM). The rough influential weights based on strategic orientations and their corresponding attributes are calculated. Finally, we use the modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) and the influential weights to calculate the relationship ratio between performance and aspiration level. Our model flexibly assesses the vagueness involved in decision-making, enabling more objective expert estimation of attributes in subjective surroundings than traditional multiple attributes decision-making models. We use the Taiwanese hotel industry as an empirical case study. Our study provides useful information on how to enhance hotel services and achieve optimal performance based upon expert judgments and the RINRM. The results show that customer orientation is the optimal strategy for hotel service promotion.
abstract_unstemmed	This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain expertsâ€™ opinions and practical experience. This study develops an integrated rough multiple attribute group decision-making (MAGDM) model that supports decision makers to acquire a systematic view of strategic methods for improving performance to the desired level. The model incorporates three methods. First, we use the rough number approach to determine group opinions from the practical experience of domain experts. We then apply the rough decision making trial and evaluation laboratory (DEMATEL)-based analytic network process to develop a rough influential network relation map (RINRM). The rough influential weights based on strategic orientations and their corresponding attributes are calculated. Finally, we use the modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) and the influential weights to calculate the relationship ratio between performance and aspiration level. Our model flexibly assesses the vagueness involved in decision-making, enabling more objective expert estimation of attributes in subjective surroundings than traditional multiple attributes decision-making models. We use the Taiwanese hotel industry as an empirical case study. Our study provides useful information on how to enhance hotel services and achieve optimal performance based upon expert judgments and the RINRM. The results show that customer orientation is the optimal strategy for hotel service promotion.
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title_short	Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model
url	https://doi.org/10.3846/tede.2019.8419 https://doaj.org/article/ff80428b5f1a42ab94c4be6f4f2323c9 http://localhost/journals.vgtu.lt/index.php/TEDE/article/view/8419 https://doaj.org/toc/2029-4913 https://doaj.org/toc/2029-4921
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up_date	2024-07-03T16:50:26.370Z
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Liou</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Improving strategic orientations for promoting hotel services using an integrated rough MAGDM model</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain expertsâ€™ opinions and practical experience. This study develops an integrated rough multiple attribute group decision-making (MAGDM) model that supports decision makers to acquire a systematic view of strategic methods for improving performance to the desired level. The model incorporates three methods. First, we use the rough number approach to determine group opinions from the practical experience of domain experts. We then apply the rough decision making trial and evaluation laboratory (DEMATEL)-based analytic network process to develop a rough influential network relation map (RINRM). The rough influential weights based on strategic orientations and their corresponding attributes are calculated. Finally, we use the modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) and the influential weights to calculate the relationship ratio between performance and aspiration level. Our model flexibly assesses the vagueness involved in decision-making, enabling more objective expert estimation of attributes in subjective surroundings than traditional multiple attributes decision-making models. We use the Taiwanese hotel industry as an empirical case study. Our study provides useful information on how to enhance hotel services and achieve optimal performance based upon expert judgments and the RINRM. 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