Building an Aggregate Rating of Popular SaaS Services Based on Organization of Customer Support Channels
| Parent link: | Lecture Notes in Electrical Engineering (LNEE) Vol. 857 : Advances in Automation III.— 2022.— [P. 313-323] |
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| Autor Principal: | |
| Autor Corporativo: | |
| Summary: | Title screen The article analyzes popular SaaS services based on the organization of customer support channels. The main “strengths” of the customer service for these SaaS projects are shown, and several positions are noted that should be improved. Also, based on the analysis, a rating of popular SAAS services was built based on the used customer support channels using the non-compensatory threshold aggregation method. The calculation was carried out in the developed software. Режим доступа: по договору с организацией-держателем ресурса |
| Idioma: | inglés |
| Publicado: |
2022
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-3-030-94202-1_30 |
| Formato: | Electrónico Capítulo de libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668237 |
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| 200 | 1 | |a Building an Aggregate Rating of Popular SaaS Services Based on Organization of Customer Support Channels |f S. V. Razumnikov | |
| 203 | |a Текст |c электронный | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 20 tit.] | ||
| 330 | |a The article analyzes popular SaaS services based on the organization of customer support channels. The main “strengths” of the customer service for these SaaS projects are shown, and several positions are noted that should be improved. Also, based on the analysis, a rating of popular SAAS services was built based on the used customer support channels using the non-compensatory threshold aggregation method. The calculation was carried out in the developed software. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Lecture Notes in Electrical Engineering (LNEE) | ||
| 463 | |t Vol. 857 : Advances in Automation III |o proceedings of the International Russian Automation Conference, RusAutoCon2021, September 5-11, 2021, Sochi, Russia |f edit. A. A. Radionov ; V. R. Gasiyarov |v [P. 313-323] |d 2022 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a SAAS services | |
| 610 | 1 | |a cloud technologies | |
| 610 | 1 | |a rating | |
| 610 | 1 | |a threshold aggregation | |
| 610 | 1 | |a communication support channels | |
| 610 | 1 | |a облачные технологии | |
| 610 | 1 | |a рейтинг | |
| 700 | 1 | |a Razumnikov |b S. V. |c specialist in the field of informatics and computer engineering |c Associate Professor of Yurga technological Institute of Tomsk Polytechnic University, Candidate of technical sciences |f 1988- |g Sergey Viktorovich |3 (RuTPU)RU\TPU\pers\34681 |9 18031 | |
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| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-030-94202-1_30 |z https://doi.org/10.1007/978-3-030-94202-1_30 |
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