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Email Date 2015-10-25 17:36:30
File Workshop GMC 2016 (102315).pdf(59.9 KB)
Title Research & Publishing Skills Workshop by Prof. Arch Woodside

Research, Writing, Publishing

Skills-Building Workshop:

Building Implementable Case-Based Quantitative

Models Using fsQCA (Fuzzy-Set Qualitative

Comparative Analysis) plus How to Publish Articles

in A* and A Ranked SSCI Journals

One-day only during GAMMA 2016 in Hong Kong:

Saturday, 23 July 2106



- Professor Arch G. Woodside (Boston College)

Editor-in-Chief of Journal of Business Research


This one-day workshop provides hands-on training in constructing

theory, collecting data, doing data analysis, and writing scholarly

papers that apply quantitative and qualitative case study research

(CSR) methods. This workshop focuses on building participants

skills for using fuzzy-set qualitative comparative analysis (FS/QCA)

and in developing skills in doing research and writing papers that

editors accept for publication in A* and A SSCI ranked journals

the workshop includes hands-on training in using the fsQCA.com

software (free software at fsQCA.com) and nitty-gritty details on

how to do research to publish in SSCI journals.


Brief Description of Coverage: CSR theory construction includes

mapping out the flow of events, decision processes, and outcomes in

contexts and the use of multiple data analysis methods for theory testing.

FS/QCA applies Boolean algebra for testing consistency and coverage

of alternative causal recipes (configurations of moderately complex

antecedent conditions) to explain an outcome.


Participants Take-Aways: During the workshop, to achieve

hands-on skills, participants complete individual and group exercises

in applying each of the five methods. Participants receive skill-

building readings on how match case-based theory and data analysis

and an electronic copy of Case Study Research: Theory Methods

Practice (Emerald Publishing, 2010) which includes comprehensive

chapters on using each of the 14 case study methods. Each

participant receives an invitation to send his or her CSR paper for

review and comment by the workshops trainer.


Workshop Trainer: Arch G. Woodside, Professor of Marketing,

Boston College, is the lead workshop trainer. Arch is the Editor-in-

Chief, Journal of Business Research. He is the author of the workshop

exercises-solutions and the CSR textbook of the workshop. His own

articles using CSR methods appear in the Journal of Marketing,

Journal of Applied Psychology, Industrial Marketing Management,

Journal of Advertising Research, Journal of Business & Industrial

Marketing, and Journal of Travel Research. Arch is a member and

Fellow of APA, APS, Royal Society of Canada, International Academy

for the Study of Tourism and the Society for Marketing Advances.

Research authored and co-authored by Arch has received more than

14,500+ citations and this work has an H-index equal to 56 and a

Google 1-10 index of 222 222 articles/books each have been cited

ten-plus times.


Date: July 23, 2015


Time: 9 AM to Noon and 1:30PM to 4:30 PM


Venue: Conference Hotel of 2016 Global Marketing Conference

at Hong Kong


Tuition: GAMMA Prestige Club Member: USD 90; KSMS Member:

USD 150; Non-KSMS Member (Student): USD 125; Non-KSMS

Member (Faculty): USD 290


Tuition benefits includes instruction, an electronic copy of the CSR

book, the training program workbook and coffee breaks, and a personal

written commentary on one paper (co)authored by each participant.

Each participant needs to bring his/her PC laptop with a copy of

fs/qca.com installed (free at fsqca.com). The workshop includes

all instruction, workbook exercises and solutions, textbook, personal

follow-up review of participants research and manuscript by the trainer,

and coffee/tea breaks (lunch is not included).

Attendance is limited so please reserve early.


Registration: Participants need to register on the 2016 GMC at

Hong Kong homepage.


2016 Global Marketing Conference at Hong Kong Homepage:



Professor Arch Woodsides homepage:



IP Address :