TY - JOUR
T1 - The demographics of change
T2 - Enterprise characteristics and behaviors that influence transformation
AU - Yu, Zhongyuan
AU - Serban, Nicoleta
AU - Rouse, William B.
N1 - Publisher Copyright:
© IIE, INCOSE.
PY - 2013
Y1 - 2013
N2 - Tolstoy asserts that happy families are all alike, but that every unhappy family is unhappy in its own way. Successful companies achieve strong performance based on many attributes-total revenue, current profitability, stock market valuation, and future potential profitability. Unsuccessful companies that experience decreases in these metrics may fail along any dimension, or combination of dimensions, for a wide range of reasons. We characterize the various combinations of changes, including explanations for how they arise, as the “demographics of change.” In this article, we elaborate the demographics of change by exploring companies’ changes in ranks and financial performance within two industry sectors: information technology and healthcare. We then pursue explanations of these changes using text mining of press releases, business news reports, and related materials to identify enterprise behaviors associated with changes in ranks and financial performance. The contribution of the article is in applying advanced yet easy-to-use techniques to study the demographics of change, understand the dynamics of industries as they change, explore reasons for enterprise changes, and provide potential insights into investment opportunities.
AB - Tolstoy asserts that happy families are all alike, but that every unhappy family is unhappy in its own way. Successful companies achieve strong performance based on many attributes-total revenue, current profitability, stock market valuation, and future potential profitability. Unsuccessful companies that experience decreases in these metrics may fail along any dimension, or combination of dimensions, for a wide range of reasons. We characterize the various combinations of changes, including explanations for how they arise, as the “demographics of change.” In this article, we elaborate the demographics of change by exploring companies’ changes in ranks and financial performance within two industry sectors: information technology and healthcare. We then pursue explanations of these changes using text mining of press releases, business news reports, and related materials to identify enterprise behaviors associated with changes in ranks and financial performance. The contribution of the article is in applying advanced yet easy-to-use techniques to study the demographics of change, understand the dynamics of industries as they change, explore reasons for enterprise changes, and provide potential insights into investment opportunities.
KW - Company ranking
KW - Enterprise transformation
KW - Financial performance
KW - Industry trends
KW - Ranking methodologies
KW - Text mining
UR - http://www.scopus.com/inward/record.url?scp=84971414253&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84971414253&partnerID=8YFLogxK
U2 - 10.1080/19488289.2013.860346
DO - 10.1080/19488289.2013.860346
M3 - Article
AN - SCOPUS:84971414253
SN - 1948-8289
VL - 3
SP - 285
EP - 306
JO - Journal of Enterprise Transformation
JF - Journal of Enterprise Transformation
IS - 4
ER -