A Framework for Evaluating R&D Process Using a Best Practice Approach

2012 ◽  
Vol 433-440 ◽  
pp. 1620-1628
Author(s):  
Yeong Ran Jo ◽  
Chan Woo Cho ◽  
Jee Eun Kim ◽  
Sung Joo Lee ◽  
Jea Wook Yoon

Recently a strong increase in R&D investment has encouraged a firm to create a more effective and efficient R&D process, which allows it to save time and costs significantly. In order to build such a process, a firm should be able to evaluate its process, based on which the process can be improved. With all its importance and value, however, the previous studies on R&D process have seldom focused on the method of evaluating the process. Therefore this study aims to develop a framework for evaluating R&D process. For the purpose, CMMI (Capability Maturity Model Integrated) is used as a main method, which is a process improvement approach that provides organizations with the essential elements of effective processes that ultimately improve their performance and thus considered suitable for this research. We tried to develop a framework for evaluating R&D process based on the CMMI approach by modifying it to be suitable for measuring R&D performance where the essential elements for effective R&D process are obtained from the literature on best practices. A simple case study was conducted to illustrate how the proposed framework could be applied. The research results are expected to guide R&D process improvement across a project, a division, or an entire organization.

Author(s):  
Farley Simon Nobre ◽  
Andrew M. Tobias ◽  
David S. Walker

This chapter is concerned with the implementation of The Capability Maturity Model in the organization of study. In this application, we define measures of organization process improvement and we propose correlations between them and organizational cognition. Among these measures are included organization process maturity, capability, and performance. Therefore, we define correlations between organizational cognition and organization process maturity, and also between organizational cognition and organization process capability and performance. From such correlations, we also define an association between organizational cognition and organizational learning. Hence, we outline new directions to the development of approaches to assess, to evaluate and to measure the degree of organizational cognition from appraisal methods of The Capability Maturity Model and of other organization process improvement models. Moreover, Chapter IX is complemented by Appendix I which summarizes concepts and characteristics about the five maturity levels of The Capability Maturity Model.


2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Prof. Karuna Devi Mishra

The objective of the paper is to bring out the various aspects of CMMI and TMMI standards in software testing. It also aims to bring out a new frame work which will cover all aspects into one standard implementation rather than carrying out various tests and still feeling something is left out. CMMI (Capability Maturity Model Integration) is a process improvement approach that provides organizations with the essential elements of effective processes, which will improve their performance. CMMI-based process improvement includes identifying organization's process, strengths and weaknesses and making process change to turn weaknesses into strengths. CMMI applies to teams, work groups, projects, divisions, and entire organizations etc. Finding out why CMMI has been adopted by so many organizations worldwide.


2019 ◽  
Vol 32 (2) ◽  
pp. 1-26
Author(s):  
Daniel Adrian Doss ◽  
Russ Henley ◽  
Qiuqi Hong ◽  
Trey Pickett

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; ω2 = 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.


2014 ◽  
pp. 1385-1400 ◽  
Author(s):  
Maged Abdullah ◽  
Rodina Ahmad ◽  
Lee Sai Peck ◽  
Zarinah Mohd Kasirun ◽  
Fahad Alshammari

Software Process Improvement (SPI) has become the survival key of numerous software development organizations who want to deliver their products cheaper, faster, and better. A software process ultimately describes the way that organizations develop their software products and supporting services; meanwhile, SPI on the other hand, is the act of changing the software process and maintenance activities. This chapter purposefully describes the benefits of software process improvement. The Capability Maturity Model (CMM) and the Capability Maturity Model Integration (CMMI) are briefly surveyed and extensively discussed. Prior literature on the benefits and impacts of CMM and CMMI-based software process improvement is also highlighted.


Author(s):  
Keith R. Worfolk

The critical inter-dependencies between Enterprise Services and Enterprise Data are often not given due consideration. With the advent of Cloud Computing, it is becoming increasingly important for organizations to understand the relationships between them, in order to formulate strategies to jointly manage and coordinate enterprise services and data to improve business value and reduce risk to the enterprise. Enterprise Services encompass Service-driven applications deployed on-premises in the enterprise data centers as well as in the Cloud for the “extended enterprise.” Enterprise Data Management encompasses the cross-application enterprise-level perspective of data in an information-sharing enterprise, and the critical business data that is created, maintained, enriched, and shared outside the traditional enterprise firewall. This chapter discusses and proposes best practice strategies for coordinating the enterprise SOA & EDM approaches for mutual success. Primary coordination aspects discussed include: Service & Data Governance, Master Data Management, Service-driven & EDM Architecture Roadmaps, Service Portfolio Management, Enterprise Information Architecture, and the Enterprise Data Model. It recommends a facilitative Service-driven Data Architecture Framework & Capability Maturity Model to help enterprises evaluate and optimize overall effectiveness of their coordinated Service-driven & EDM strategies.


Author(s):  
Badariah Solemon ◽  
Shamsul Sahibuddin ◽  
Abdul Azim Abd Ghani

Requirements Engineering (RE) is a key discipline in software development, and several standards and models are available to help assess and improve RE processes. However, different standards and models can also help achieve different improvement goals. Thus, organizations are challenged to select these standards and models to best suit their specific context and available resources. This chapter presents a review of selected RE-specific and generic process improvement models that are available in the public domain. The review aims to provide preliminary information that might be needed by organizations in selecting these models. The chapter begins with analyses of how RE maturity is addressed in the Capability Maturity Model Integration (CMMI) for Development. Then, it describes the principal characteristics of, and the assessment and improvement framework applied in four RE-specific process assessment and improvement models: the Requirements Engineering Good Practice Guide (REGPG), the Requirements Engineering Process Maturity(REPM), the Requirements Capability Maturity Model (R-CMM), and the Market-Driven Requirements Engineering Process Model (MDREPM). This chapter also examines the utility and lesson learned of these models.


Author(s):  
Syeda Umema Hani ◽  
Abu Turab Alam

Information Systems acquisition, implementation, and development have been taking place in business organization to gain the competitive advantage. Rapid advancement of Technology is also popping up unethical issues involving violations of End users' data protection and privacy. This article discusses standard quality practices adhere to which a good quality software product is guaranteed while supporting the organizational strategic needs. It presents a framework that bridges Quality software development process improvement with strategic needs of an organization. Standard practices under consideration includes Capability Maturity Model for Development (CMMI-DEV) while using multi-model Process Improvement approach where an organization could use Balance Score Card technique while setting its strategic goals and monitoring their performance related to Information System development, and also link it with Information System management framework “Control Objectives for Information and Related Technology” (COBIT) - 5 released by Information Systems Audit and Control Association (ISACA), so that users could easily switch between the two standards. In last benefits are reported for using quality practices to realize attainment of competitive advantage.


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