This paper compares two academic articles examining Software as a Service (SaaS) in the context of business cost analysis and negotiation techniques. The first article, by Benlian (2009), applies transaction cost theory to study SaaS adoption across European firms, focusing on enterprise size and uncertainty. The second article, by Lee (2021), explores pricing models for SaaS, PaaS, and IaaS providers, emphasizing value-based pricing and profit management. The comparison evaluates each article's goals, purpose, author viewpoints, and potential biases, highlighting the growing relevance of cloud computing for cost minimization, profit maximization, and social welfare considerations in modern business environments.
The paper demonstrates comparative article analysis, a core academic skill at the undergraduate level. Rather than treating each article in isolation, the writer systematically evaluates shared themes — cost reduction, SaaS adoption, pricing models — while noting key differences in scope, methodology, and recency. This technique shows the writer's ability to synthesize multiple sources within a unified analytical framework.
The paper is organized into four substantive sections following a brief introduction: goals and objectives, purpose, authors' points of view, and bias. Each section addresses both articles in sequence, creating a clear, reader-friendly comparison format. The conclusion is implicit within the bias section rather than a standalone paragraph, which is a minor structural limitation, but the overall progression from descriptive to evaluative analysis is logical and well-executed.
For making important business decisions, both small and large companies must conduct cost analyses to maximize profits. High returns on investment and efficient utilization of available resources are only possible when thorough cost analysis is paired with strong negotiation skills to reduce risks. This paper compares two articles that examine software used for cost analysis and negotiation purposes. Both articles focus on Software as a Service (SaaS) as a tool employed by a wide range of companies in the modern business environment.
In the first article, Benlian (2009) discusses the factors that lead to the adoption of SaaS for cost analysis and demand sourcing software. The assessment of these factors was carried out by developing four hypotheses grounded in transaction cost theory (TCT). A survey was then conducted across 154 firms within Europe to test the hypotheses and the theoretical model. The findings revealed that enterprise size — whether small or large — significantly influenced SaaS adoption, with uncertainty playing a substantial role. Additionally, the specific SaaS application itself emerged as a factor driving the decision to adopt it within small and medium-sized businesses (SMBs) and other types of enterprises.
In the second article, Lee (2021) elaborates on the widespread use of SaaS alongside other cloud computing applications such as PaaS (Platform as a Service) and IaaS (Infrastructure as a Service). Previous studies are reviewed to present the existing literature on the topic. Value-based pricing is discussed in relation to cloud services that support cost minimization and the calculation of profit margins.
The purpose of both articles is evident from their goals and objectives: cost reduction and profit maximization are the primary targets for businesses of all sizes today. As the internet becomes integrated with nearly every hardware and software management system in companies, cloud computing has become both convenient and indispensable. Companies can no longer make sound decisions without effectively calculating costs. Negotiating with service providers and delivering value alongside competitive prices to customers represents the optimal solution for enterprises. The overarching purpose of both articles, therefore, is to contribute to profitability for both companies and consumers.
It has also been noted that social welfare has not always been adequately considered when conducting cost analyses through cloud computing services such as SaaS. The three most commonly used pricing schemes — subscription pricing, pay-per-use, and two-part tariff pricing — have been the subject of ongoing discussion, with pay-per-use emerging as the most effective option (Chun, 2019). The selected articles share a similar purpose in arguing that social welfare considerations should inform service pricing so that supply, demand, and profits can be optimally balanced for both providers and consumers.
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