Investigating Process Maturity Modeling as an Advertising Process Improvement Paradigm

Author:

Doss Daniel Adrian1,Henley Russ1,Hong Qiuqi2,Pickett Trey1

Affiliation:

1. University of West Alabama , USA

2. Guangzhou College of Technology and Business, International Educational College , Guangdzu, Guangdong , China

Abstract

Summary This article examined a variant of the Capability Maturity Model integrated (CMMi) through the lens of advertising process improvement. The population and sample were taken from a national array of U.S. marketing organizations. Using ANOVA, a 0.05 significance level, and a stratification of service marketing organizations versus product marketing organizations, the study showed a statistically significant difference (F(1, 304) = 4.03; p = 0.04; ω 2 = 0.00) regarding the hypothesis representing the notion that processes were potentially sporadic, chaotic, and ad hoc. This notion corresponded to the first maturity level of the examined process maturity framework. With respect to the Likert-scale data representing the first maturity level, the successive means analysis showed that both service marketing firms (M = 2.99) and product marketing firms (M = 2.74) reported neutrality regarding whether processes were deemed sporadic, chaotic, and ad hoc. Thus, the respondents perceived no evidence of the first maturity level among the queried work settings. Future studies may examine different stratifications of marketing firms (e.g., for-profit versus non-profit; domestic versus international; and so on) to better explore the proposed advertising maturity model.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Reference43 articles.

1. 1. Bagad, V. S. (2008). Management science. Pune, Indie: Technical Publications Pune.

2. 2. Bahr, N. J. (2014). System safety engineering and risk assessment: A practical approach. (2nd ed.). Boca Raton, FL: CRC Press.

3. 3. Battista, C. & Massimiliano, M. S. (2013). The logistic maturity model: Application to a fashion company. International Journal of Engineering Business Management, 5, 1–11.

4. 4. Broderick, A., Garry, T., & Beasley, M. (2010). The need for adaptive processes of benchmarking in small business-to-business services. The Journal of Business & Industrial Marketing, 25 (5), 324–337.

5. 5. Carcary, M. (2013). IT risk management: A Capability Maturity Model perspective. Electronic Journal of Information Systems Evaluation, 16 (1), 3–13.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3