Analytics and operations research increases win rates for IBM's information technology service deals
Aly Megahed, Taiga Nakamura, Mark Smith, Shubhi Asthana, Michael Rose, Maja Daczkowska, Sandeep Gopisetty
| Year of publication: |
2020
|
|---|---|
| Authors: | Megahed, Aly ; Nakamura, Taiga ; Smith, Mark ; Asthana, Shubhi ; Rose, Michael ; Daczkowska, Maja ; Gopisetty, Sandeep |
| Published in: |
INFORMS journal on applied analytics. - Catonsville, Md. : INFORMS, ISSN 2644-0865, ZDB-ID 2967741-5. - Vol. 50.2020, 1, p. 50-63
|
| Subject: | IT deals | win prediction | contract costing | B2B pricing | market benchmarking | RFP analytics | structured and unstructured data | revenue management | Revenue-Management | Revenue management | Operations Research | Operations research | Preismanagement | Pricing strategy | Benchmarking | Lieferantenmanagement | Supplier relationship management |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/inte.2019.1023 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012172339