Corporate Culture and Empathy and Excitement Labor of Service Employees inService Company, Mainly at Tokyo Disneyland

東京ディズニーランド(ディズニーシーを含むパーク)の大成功(集客と驚異的リピート率)の要因は、①「夢と魔法の王国」にふさわしいアトラクション1、②接客従業員(主に、非正社員、キャラクターを含む)のホスピタリティ・サービスが、顧客に「素晴らしい思い出に残る感動経験」を与えていることである。望ましいサービス労働のあり方は「顧客・従業員インターラクティブの共感に基づく従業員の感動労働」であるという仮説をたて、その解明を研究目的とした。①先行研究の考察、②運営会社へのインタビュー、③現場でのキャストのサービス労働の実査と簡単な質問、④顧客へのヒストリカル・インタビュー・アンケート実施という研究方法によって、接客従業員の「共感・感動労働」を実証中である。共感・感動労働の視点で、東京ディズニーランドと日本マクドナルド、スターバックスコーヒーとを比較した

Protein-protein interaction network of genes containing mutations predicted as drivers by InCa only.

<p>A) 1-hop network for the proteins containing mutations predicted as drivers in InCa only. The original proteins are shown as red ellipses. Connecting proteins are shown as green circles. 29 of 215 proteins are in a giant component. B) Induced network of connections between original proteins only excluding orphans. The network contains 94 proteins and optimal communities are colour coded. The legend show the top enriched GO BP term in each community.</p

Hydrogen bond enrichment in interface residues for charged and polar residues in driver mutations.

<p>Densities (denoted P(x)) are shown for mutations of each amino acid in both sets with their associated p-values comparing 1k and drivers with a two-sample Wilcoxon test using a one-sided alternative hypothesis.</p

Area propensities of mutations by accessibility.

<p>For each area, the percentages denote the relative ASA. Ratios denote the driver/neutral fraction. Values for the set of 23 proteins which contain both neutral and driver mutations is shown on the right.</p

ROC curve for InCa and other mutation predictors.

<p>Shown are the standard metrics averaged using 10% randomly withheld annotations and 100 repetitions at each point. “simple structure” denotes a model without using frequency profiles of neighbouring residues. A model denoted “InCa FI” is a combined model using FI as a parameter. AUC values are shown next to the names.</p

ROC curve and prediction parameters for optimal thresholds in all tested methods.

<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p

Contingency tables for post-translational modifications, disulphide bonds and electrostatic (h-bonds and salt bridges) interface bonds in mutated residues.

<p>P-values are calculated with a Fisher's test with a two-sided alternative hypothesis.</p

Unique mutations and proteins predicted as drivers by InCa and by CHASM from mutations in COSMIC that were not in the training driver set.

<p>Unique mutations and proteins predicted as drivers by InCa and by CHASM from mutations in COSMIC that were not in the training driver set.</p

Summary of top mutation types in each category enriched in drivers.

<p>Summary of top mutation types in each category enriched in drivers.</p

Energy minimisation of the S660R mutation in BARD1.

<p>The top panel shows the mutant Arg residue in the mutant structure causing a steric clash with the helix opposite. The wild-type (WT) structure is shown in red overlaid with the mutatnt structure in blue. The bottom panel shows the WT Ser residue.</p