Data-Informed Mission Statements: : Using Text-Mining to Create an Information Technology Firm's Strategic Mission Statement / Julián Cortés.

Format:

Book

Author/Creator:

Cortés, Julián, author.

Language:

English

Subjects (All):

Strategic planning.

Physical Description:

1 online resource

Other Title:

Data-Informed Mission Statements

Place of Publication:

[Place of publication not identified] : SAGE Publications, Inc., 2024.

Summary:

Mission statements are one of the most used strategic planning conceptual and communication tools. In this data challenge, students will assess this strategic planning tool through a series of hands-on exercises in a fictional, though plausible, scenario for an early-career professional. Essentially, students will have a central role in the strategic planning activity of a fictional company in the information technology sector. The strategic planning board will ask the student for a benchmarking report and concrete guidelines regarding the mission statement definition, textual properties, key components, and most frequent keywords used. The challenge ends with the delivery of a mission statement proposal to the company's strategic planning committee. Students will find two open access databases with mission statements from worldwide organizations with additional information on sectors, countries, and innovation performance among other characteristics. Through this data challenge, students will learn to recognize the seminal conceptual definitions and components of mission statements, and they will develop practical and theoretical skills of text mining analysis and evidence-based discussions on strategic management. This data challenge will be of interest to business and management graduate and undergraduate students. It may be used in courses on topics such as strategic management; business analytics; innovation management; international business; marketing and management communication; and operations, information, and decisions. Background and basic skills that could be helpful for the data challenge are strategic management, communication studies, marketing, data science, text mining analysis, and statistical and general-purpose languages such as R, Python, and Matlab among others.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-0719-6102-0

9781071961025

OCLC:

1463987615