385: Polynomial Regression Analysis with Response Surface Methodology in Organizational Science (18225)

Saturday, August 10, 2024

13:00 – 16:00 CT (GMT-5/UTC-5)

Location: Swissotel: St Gallen 3

Session Number: 385
PDW (workshop)
Orientation: Teaching,Research
Shareable link: https://cdmcd.co/5nWrqW

Organizer(s)

CT

Chou-Yu Tsai

Binghamton U.-State U. of New York, United States

Panelist(s)

AK

Amy L. Kristof-Brown

U. of Iowa, United States
LS

Lisa Schurer Lambert

Oklahoma State U., United States

Organizer(s)

YY

Yongheng Yao

Wilfrid Laurier U., Canada
MC

Minyoung Cheong

Kyung Hee U., Korea, Republic of

Presenter(s)

RS

Rong Su

Tippie College of Business, U. of Iowa, United States
YL

Yih-teen Lee

IESE Business School, Spain
CO

Chunghyun Oh

Binghamton U.-State U. of New York
JM

Jinhee Moon

Binghamton U.-State U. of New York, United States
SW

Sheng-Bin Wang

National Sun Yat-Sen U., Taiwan

Panelist(s)

JE

Jeffrey R. Edwards

U. of North Carolina, United States

Since its introduction by Edwards and colleagues, polynomial regression analysis (PRA) combined with response surface methodology (RSM) has become a valuable research tool for investigating and exploring topics related to congruence, agreement, alignment, and similarity frameworks within organizational science. Over the past three decades, due to the inherent complexity of organizational settings, PRA and RSM have been utilized in various ways and often in conjunction with other complementary research methods. In this proposed PDW, we aim to introduce the origins of this method, address inconsistencies, and discuss its implications when combined with other research methods and designs. We hope to improve comprehension and utilization of PRA with RSM, address inconsistencies, and advocate for its effectiveness and reliability in theory testing and development across diverse research topics and domains within organizational science.