7 research outputs found
Key sources when formulating competitive advantages for hotel chains
Th is paper's purpose was to identify the key sources when formulating competitive advantages of hotel
chains. Th e research assessed the fi nancial activities performance included in annual hospitality industry
reports and on their offi cial websites; questioning of loyal and potential customers; the fi ve-point
Likert scale and the Pearson correlation coeffi cient were applied to understand the possible consumer
reaction to a certain competitive advantage or its absence. Th e paper confi rms the eff ectiveness of
key sources used by management to win and retain competitive advantages: despite strong dependence
on the economic cycle phase etc., after the devastating crisis of 2007, 2008, but also to achieve
sustainable growth. All the networks examined over the last decade have expanded their presence in
international markets, diversifi ed the portfolio of brands, increased the number of jobs and profi ts.
It was also proved that the opinion of the fi nal consumer is still not suffi ciently taken into account in
the assessment of the Pearson correlation coeffi cient (the latter allowed the authors to propose their
own defi nition of the competitive advantage in the industry). Th e paper attempts for the fi rst time
to consider the competitive advantages of hotel chains from the point of view not only of theorists
and business practitioners, but also with the view of the opinion of the services consumer; there were
identifi ed the discrepancies, which consideration would allow to increase the level of guest satisfaction
and, accordingly, the effi ciency of the hotel business. In future papers, the authors plan to verify the
existence of a correlation between the degree of guest loyalty to a particular hotel network and the
main fi nancial results of its activities
ΠΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ°, ΠΊΠ°ΠΊ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π½ΠΎΠ²ΡΠΉ ΠΏΠ»Π°ΡΠ΅ΠΆΠ½ΡΠΉ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½Ρ ΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ Π΅Π΅ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π² ΠΌΠΈΡΠΎΠ²ΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ
Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ β ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΡΠ½ΠΊΠ° Π²Π΅Π΄ΡΡΠΈΡ
ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ ΠΈ ΠΎΡΠ΅Π½ΠΈΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠ΅ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΠΈΡ
Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π² ΠΌΠΈΡΠΎΠ²ΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ.
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π Π΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠΎΡΠ»Π΅ΠΆΠ΅Π½Π° ΠΈΡΡΠΎΡΠΈΡ ΠΏΡΠΎΠΈΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΈ ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ ΠΠΈΡΠΊΠΎΠΈΠ½Π° (Bitcoin), ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ Β«ΠΠ»ΠΎΠΊΡΠ΅ΠΉΠ½Β» (Β«BlockchainΒ»). ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΈ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΡΠΎΡΠΎΠ½Ρ ΡΠ°Π±ΠΎΡΡ Ρ ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ°ΠΌΠΈ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° Π±Π»ΠΈΠΆΠ°ΠΉΡΠ°Ρ ΠΏΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΊ ΠΠΈΡΠΊΠΎΠΈΠ½Ρ ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ° ΠΡΠΈΡ (Ethereum) ΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ Π½ΠΈΠΌΠΈ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ ΠΏΡΠΎΠ³Π½ΠΎΠ· ΠΎ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Π΅ΡΠΎΡΡΠ½ΠΎΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ Π½Π° Π±Π»ΠΈΠΆΠ°ΠΉΡΠ΅Π΅ Π±ΡΠ΄ΡΡΠ΅Π΅ ΠΈ ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΡ
ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π² ΠΌΠΈΡΠΎΠ²ΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ.
Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ°ΡΡΠΎΡΡΠ΅Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ Π΅Π³ΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π±ΡΠ΄ΡΡ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠΉ Π½Π°ΡΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ β ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΡΡΠ½ΠΎ-ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΌΠ½Π΅Π½ΠΈΡ Π°ΠΊΠ°Π΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π½Π°ΡΠΊΠΈ ΠΊ Π½ΠΎΠ²ΠΎΠΌΡ ΡΠ΅Π½ΠΎΠΌΠ΅Π½Ρ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ β ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ°ΠΌ ΠΈ ΠΈΡ
ΡΠΎΠ»ΠΈ Π² ΠΌΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅.
ΠΡΠΈΠ³ΠΈΠ½Π°Π»ΡΠ½ΠΎΡΡΡ/ΡΠ΅Π½Π½ΠΎΡΡΡ/Π½Π°ΡΡΠ½Π°Ρ Π½ΠΎΠ²ΠΈΠ·Π½Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π Π°Π±ΠΎΡΠ° ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π½Π΅ΠΌΠ½ΠΎΠ³ΠΈΡ
, ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π½ΡΡ
Π½ΠΎΠ²ΠΎΠΌΡ ΡΠ²Π»Π΅Π½ΠΈΡ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ β ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ°ΠΌ; ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π°Π²ΡΠΎΡΡΠΊΠΈΠ΅ ΠΏΡΠΎΠ³Π½ΠΎΠ·Ρ ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΡ
Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ.
ΠΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΠ°ΡΡΠΎΡΡΠ°Ρ ΡΠ°Π±ΠΎΡΠ° ΠΎΡΠΊΡΡΠ²Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΡΠ½ΠΊΠ° ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ, Π΅Π³ΠΎ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π² ΠΌΠΈΡΠΎΠ²ΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ.
Π’ΠΈΠΏ ΡΡΠ°ΡΡΠΈ β ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ ΡΠΈΡΡΠΎΠ²ΡΡ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° ΠΌΠΈΡΠΎΠ²ΠΎΠΉ ΡΡΠ½ΠΎΠΊ ΡΡΠ»ΡΠ³ ΠΏΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΡΠΌΠΈ ΠΈ ΡΠ°ΡΡΠ½ΡΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ
Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΡΠ½ΠΊΠ° ΡΡΠ»ΡΠ³ ΠΏΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΠΌΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΡΠΌΠΈ ΠΈ ΡΠ°ΡΡΠ½ΡΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ ΠΈ ΠΎΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°ΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΈΡΡΠΎΠ²ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΡΠ½ΠΊΠ°.
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΡΡΠ½ΠΎΡΡΡ ΠΏΠΎΠ½ΡΡΠΈΡ Β«ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΡΠ°ΡΡΠ½ΡΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌΒ» ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΡ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π½Π° Π½Π΅Π³ΠΎ ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΉ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° Π½Π°ΠΌΠ΅ΡΠΈΠ²ΡΠ΅ΠΉΡΡ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ΅ΠΌΠΏΠΎΠ² ΡΠΎΡΡΠ° Π°ΠΊΡΠΈΠ²ΠΎΠ², Π½Π°Ρ
ΠΎΠ΄ΡΡΠΈΡ
ΡΡ ΠΏΠΎΠ΄ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΡΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠΉ. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π° ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠ° ΡΠΊΡΠ°ΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΡΡΠ½ΠΊΠ° ΡΡΠ»ΡΠ³ ΠΏΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°ΡΡΠ½ΡΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π²ΡΡΠ²Π»Π΅Π½Ρ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΡΠ½ΠΊΠ° ΡΡΠ»ΡΠ³ ΠΏΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΠΌΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΡΠΌΠΈ ΠΈ ΡΠ°ΡΡΠ½ΡΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ Π² ΡΡΠ΅Π΄Π½Π΅ΡΡΠΎΡΠ½ΠΎΠΉ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅.
Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ·ΡΡΠ΅Π½Π½ΡΠ΅ Π² ΡΠ°Π±ΠΎΡΠ΅ Π²ΠΎΠΏΡΠΎΡΡ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΡΡ ΡΡΠΊΠΎΡΠ΅Π½ΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΉ ΡΡΠ½ΠΎΠΊ ΡΡΠ»ΡΠ³ ΠΏΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΠΌΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΡΠΌΠΈ ΠΈ ΡΠ°ΡΡΠ½ΡΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π² ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΡΠ½ΠΊΠΈ.
ΠΡΠΈΠ³ΠΈΠ½Π°Π»ΡΠ½ΠΎΡΡΡ/ΡΠ΅Π½Π½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΡΠ»ΠΈΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΡ Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ±ΠΈΠ»ΠΈΠ΅ ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° ΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°Ρ
ΡΠ°Π±ΠΎΡΡ ΠΊΡΡΠΏΠ½Π΅ΠΉΡΠΈΡ
ΠΌΠΈΡΠΎΠ²ΡΡ
ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΈΠ½ΡΡΠΈΡΡΡΠΎΠ² β Π»ΠΈΠ΄Π΅ΡΠΎΠ² Π² ΠΎΡΡΠ°ΡΠ»ΠΈ ΡΡΠ»ΡΠ³ ΠΏΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΠΌΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΡΠΌΠΈ ΠΈ ΡΠ°ΡΡΠ½ΡΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ.
ΠΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΠ°ΡΡΠΎΡΡΠ°Ρ ΡΠ°Π±ΠΎΡΠ° ΠΎΡΠΊΡΡΠ²Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΠΎΠ±Π»Π°ΡΡΠΈ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠΈΡΡΠΎΠ²ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΉ ΡΡΠ½ΠΎΠΊ ΡΡΠ»ΡΠ³ ΠΏΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΠΌΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΡΠΌΠΈ ΠΈ ΡΠ°ΡΡΠ½ΡΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ ΠΈ ΡΠΎΠΏΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Ρ ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π΄Π°Π½Π½ΡΠΌΠΈ ΠΎ ΡΠ°Π±ΠΎΡΠ΅ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΈΠ½ΡΡΠΈΡΡΡΠΎΠ².
Β Π’ΠΈΠΏ ΡΡΠ°ΡΡΠΈ β ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ
The application features of seasonal-cyclic patterns in international financial markets
The presence of cyclic patterns in the development of society is a recognized and confirmed fact. The cyclical nature of the economy was hypothesised by William Herschel as early as 1801, when he suggested the existence of a relationship between the cycles of sunspots and the weather, which he believed could affect the price of the crop and, ultimately, the economy as a whole (Schwager, 1996). Since that time, many scientists have dealt with the issues of cyclicality in the economy, and a large number of scientific works are devoted to this problem. However, cycle theory is still more developed at the theoretical than at the practical
level (Sardak, 2016; Sardak & Sukhoteplyi, 2013).
The financial market, as an integral part of the global socio-economic system, also has a cyclical nature, so the knowledge and understanding of the cyclic laws, their practical use for the formation of forecasts on the direction of market movement can bring significant profits to entities engaged in investment activities (Afonin et al., 2008; Poletaev & Savel'eva, 1993). Therefore, applied research in this area is up-and-coming.The paper deals with the topical issue of studying cyclic patterns in the economy and their practical application for the forecasts on the development of financial markets.
The work aims to establish the features of the seasonal-cyclic patterns "The January barometer" and "The first five days of January" in the international financial markets in current conditions and to develop recommendations for the practical application of these patterns in the
investment activities.
The US stock market as an integral part of the World financial market was chosen as a basis for research. The research was conducted by statistical processing of data on the values of the broad market index Standard & Poor's-500 for the period from 1950 to 2019.
The study showed that the formation of forecasts about the annual growth or decline of the stock market index using the seasonal-cyclic patterns "The January barometer" and "The first five days of January" can show a high result in cases where the growth of the Standard & Poor's-500 index by the results of both the first five days of January and the results of the entire month of January of this year is a positive value. Otherwise, forecasting based on these instruments is not advisable. The best results (the forecast efficiency was 93.3%) were achieved with the joint application of both cyclic patterns.
The practical application of the research results makes it possible to improve the efficiency of investment activities in international financial markets
The application features of seasonal-cyclic patterns in international financial markets
The presence of cyclic patterns in the development of society is a recognized and confirmed fact. The cyclical nature of the economy was hypothesised by William Herschel as early as 1801, when he suggested the existence of a relationship between the cycles of sunspots and the weather, which he believed could affect the price of the crop and, ultimately, the economy as a whole (Schwager, 1996). Since that time, many scientists have dealt with the issues of cyclicality in the economy, and a large number of scientific works are devoted to this problem. However, cycle theory is still more developed at the theoretical than at the practical
level (Sardak, 2016; Sardak & Sukhoteplyi, 2013).
The financial market, as an integral part of the global socio-economic system, also has a cyclical nature, so the knowledge and understanding of the cyclic laws, their practical use for the formation of forecasts on the direction of market movement can bring significant profits to entities engaged in investment activities (Afonin et al., 2008; Poletaev & Savel'eva, 1993). Therefore, applied research in this area is up-and-coming.The paper deals with the topical issue of studying cyclic patterns in the economy and their practical application for the forecasts on the development of financial markets.
The work aims to establish the features of the seasonal-cyclic patterns "The January barometer" and "The first five days of January" in the international financial markets in current conditions and to develop recommendations for the practical application of these patterns in the
investment activities.
The US stock market as an integral part of the World financial market was chosen as a basis for research. The research was conducted by statistical processing of data on the values of the broad market index Standard & Poor's-500 for the period from 1950 to 2019.
The study showed that the formation of forecasts about the annual growth or decline of the stock market index using the seasonal-cyclic patterns "The January barometer" and "The first five days of January" can show a high result in cases where the growth of the Standard & Poor's-500 index by the results of both the first five days of January and the results of the entire month of January of this year is a positive value. Otherwise, forecasting based on these instruments is not advisable. The best results (the forecast efficiency was 93.3%) were achieved with the joint application of both cyclic patterns.
The practical application of the research results makes it possible to improve the efficiency of investment activities in international financial markets
<b>Key sources when formulating competitive advantages for hotel chains</b>
This paper's purpose was to identify the key sources when formulating competitive advantages of hotel chains. The research assessed the financial activities performance included in annual hospitality industry reports and on their official websites; questioning of loyal and potential customers; the five-point Likert scale and the Pearson correlation coefficient were applied to understand the possible consumer reaction to a certain competitive advantage or its absence. The paper confirms the effectiveness of key sources used by management to win and retain competitive advantages: despite strong dependence on the economic cycle phase etc., after the devastating crisis of 2007, 2008, but also to achieve sustainable growth. All the networks examined over the last decade have expanded their presence in international markets, diversified the portfolio of brands, increased the number of jobs and profits. It was also proved that the opinion of the final consumer is still not sufficiently taken into account in the assessment of the Pearson correlation coefficient (the latter allowed the authors to propose their own definition of the competitive advantage in the industry). The paper attempts for the first time to consider the competitive advantages of hotel chains from the point of view not only of theorists and business practitioners, but also with the view of the opinion of the services consumer; there were identified the discrepancies, which consideration would allow to increase the level of guest satisfaction and, accordingly, the efficiency of the hotel business. In future papers, the authors plan to verify the existence of a correlation between the degree of guest loyalty to a particular hotel network and the main financial results of its activities.competitive advantagecompetitive advantage</p