Titlebook: Enterprise Applications and Services in the Finance Industry; 6th International Wo Fethi A. Rabhi,Peter Gomber Conference proceedings 2013

Thoracic

書目名稱Enterprise Applications and Services in the Finance Industry影響因子(影響力)




書目名稱Enterprise Applications and Services in the Finance Industry影響因子(影響力)學(xué)科排名




書目名稱Enterprise Applications and Services in the Finance Industry網(wǎng)絡(luò)公開度




書目名稱Enterprise Applications and Services in the Finance Industry網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Enterprise Applications and Services in the Finance Industry被引頻次




書目名稱Enterprise Applications and Services in the Finance Industry被引頻次學(xué)科排名




書目名稱Enterprise Applications and Services in the Finance Industry年度引用




書目名稱Enterprise Applications and Services in the Finance Industry年度引用學(xué)科排名




書目名稱Enterprise Applications and Services in the Finance Industry讀者反饋




書目名稱Enterprise Applications and Services in the Finance Industry讀者反饋學(xué)科排名

Fortify

Conference proceedings 2013012, held in Barcelona, Spain, on June 10, 2012..The workshop spans multiple disciplines, including technical, service, economic, sociological, and behavioral sciences. It reflects on technologically enabled opportunities, implications, and changes due to the introduction of new business models or r

使害羞

PHAG

https://doi.org/10.1007/978-3-031-64944-8ert user. It assesses the benefits and drawbacks of using the ADAGE approach versus conventional manual analysis processes. This chapter also outlines some avenues for future research to address existing limitations.

resistant

Richa Kothari,Zakir Husain,Mousumi Duttathe investigated topic. We will go one step further and include discussed impacts and issues weighted by their occurrence in literature. Based on this approach the paper concludes that frequently mentioned impacts and issues of XBRL are not yet researched but in turn minor research questions are well investigated.

obscurity

Humans vs. Algorithms – Who Follows Newcomb-Benford’s Law Better with Their Order Volume?th groups follow NBL more than the uniform distribution. Comparing these two groups, we give a proof that algorithmic traders match NBL better than human traders, as human traders tend to overuse the FSD five.

obscurity

規(guī)范要多

XBRL: Impacts, Issues and Future Research Directionsthe investigated topic. We will go one step further and include discussed impacts and issues weighted by their occurrence in literature. Based on this approach the paper concludes that frequently mentioned impacts and issues of XBRL are not yet researched but in turn minor research questions are well investigated.

OTTER

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