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How to Build a Climate of Quality in a Small to Medium Enterprise: An Action Research ProjectBishop, Desmond M., III 22 October 2018 (has links)
Quality Management (QM) in one of its many forms has become an integral part of contemporary business. Most research in this field was conducted within the context of large business. This study is one of the first to examine QM for small to medium enterprises (SMEs). This article used the action research methodology to explore how a SME located in the southeastern United States implemented a climate of quality. QM implementation in this company was executed in two separate interventions. In the first intervention, the factors of top management commitment, collaboration, data-centered decision making and process focus were implemented using tactics that resulted in an 80% decrease in defects and substantial cost savings. In the second intervention a training system was developed that resulted in a 60% reduction in defects over the measured time period. The study provides an illustrative example of how small businesses can implement a QM climate, and the potential benefits of such climate for the organization.
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IT’S IN THE DATA : A multimethod study on how SaaS-businesses can utilize cohort analysis to improve marketing decision-makingFridell, Gustav, Cedighi Chafjiri, Saam January 2020 (has links)
Incorporating data and analytics within marketing decision-making is today crucial for a company’s success. This holds true especially for SaaS-businesses due to having a subscription-based pricing model dependent on good service retention for long- term viability and profitability. Efficiently incorporating data and analytics does have its prerequisites but can for SaaS-businesses be achieved using the analytical framework of cohort analysis, which utilizes subscription data to obtain actionable insights on customer behavior and retention patterns. Consequently, to expand upon the understanding of how SaaS-businesses can utilize data-driven methodologies to improve their operations, this study has examined how SaaS-businesses can utilize cohort analysis to improve marketing decision-making and what the prerequisites are for efficiently doing so. Thus, by utilizing a multimethodology approach consisting of action research and a single caste study on the fast-growing SaaS-company GetAccept, the study has concluded that the incorporation and utilization of cohort analysis can improve marketing decision-making for SaaS-businesses. This conclusion is drawn by having identified that: The incorporation of cohort analysis can streamline the marketing decision-making process; and The incorporation of cohort analysis can enable decision-makers to obtain a better foundation of information to base marketing decisions upon, thus leading to an improved expected outcome of the decisions. Furthermore, to enable efficient data-driven marketing decision-making and effectively utilize methods such as cohort analysis, the study has concluded that SaaS- businesses need to fulfill three prerequisites, which have been identified to be: Management that support and advocate for data and analytics; A company culture built upon information sharing and evidence-based decision-making; and A large enough customer base to allow for determining similarities within and differences between customer segments as significant. However, the last prerequisite applies specifically for methods such as or similar to cohort analysis. Thus, by utilizing other methods, SaaS-businesses might still be able to efficiently utilize data-driven marketing decision-making, as long as the first two prerequisites are fulfilled.
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