Titlebook: Land Commune And Peasant Community In Russia; Communal Forms In Im Roger Bartlett (Reader in Russian History) Book 1990 Palgrave Macmillan,

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,Differentiation in Russian Peasant Society: Causes and Trends, 1880–1905,questions — namely: what were the causes of the indeed observable differentiation in the countryside; what was the trend — not the degree — of differentiation during the second half of the nineteenth century and at the beginning of the twentieth, which means we should ask how the observable degree o

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Agricultural Advance Under the Russian Village Commune System,d rural sector; and that these Malthusian pressures, which supposedly reached famine proportions in the early 1890s, stoked up the smouldering peasant discontent which finally exploded in the early twentieth century. These perspectives have perhaps become most closely associated with Alexander Gersc

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,The Peasant Commune and the Stolypin Reforms: Peasant Attitudes, 1906–14,on continued throughout the Reforms’ implementation as critics pointed to the peasant disorders associated with the Reforms and the government’s use of ‘influence’, mandatory procedures, and even ‘force’ to implement them.. In addition, critics cited Stolypin’s famous statement about a‘wager on the

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Roger Bartlettcontext, secondary data, generated from the existing literature, were used to collect data. According to the results obtained, Kotler, Kartajaya, and Setiawan (2017)’s 5A (Awareness, Appeal, Ask, Act and Advocacy) model, developed instead of the AIDA (Attention, Interest, Desire and Action) model, c

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Dorothy Atkinsonion and information technology is predictable. This investigation reviews various kinds of literature from research papers, articles, books, newspapers, and studies, the significance and benefits of IT applications, and how they contribute to the tourism industry. The chapter showed that IT is incre

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Moshe Lewin opportunities for various destinations and its stakeholders. Social media is rapidly impacting the hospitality industry, through wide reach and peer reviews of the tourist operators, hotels, and transporters via online technologies, messaging systems with voice commands, and AI-machine learning to

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Vadim Aleksandrovich Aleksandrovcontext, secondary data, generated from the existing literature, were used to collect data. According to the results obtained, Kotler, Kartajaya, and Setiawan (2017)’s 5A (Awareness, Appeal, Ask, Act and Advocacy) model, developed instead of the AIDA (Attention, Interest, Desire and Action) model, c