Failure Analysis and Fatigue Behavior of Engineering Materials under Cyclic Loading

Abstract

This study assesses the impact of cloud-based accounting systems on the efficiency of financial reporting by comparing them with traditional on-premises systems. A quantitative, cross-sectional survey was conducted among 400 accounting and finance professionals, 200 of whom used cloud-based systems and 200 traditional systems, and the data were analysed with SPSS. Seven constructs were measured: system quality and integration, information quality, service quality and support, ease of use and user readiness, security and compliance, cost and resource efficiency, and reporting efficiency and outcomes. Independent-samples t-tests showed that cloud users reported significantly higher scores on six of the seven constructs, with the largest mean differences for reporting efficiency (4.20 versus 3.60) and cost efficiency (4.00 versus 3.40), while service quality did not differ significantly (p = .058). Reporting efficiency also differed across industry sectors, F(7, 392) = 3.72, p = .001. All constructs correlated positively with reporting efficiency (r = .51 to .62), and a regression model explained 58% of its variance, with system quality (β = .32) and cost efficiency (β = .28) as the strongest predictors. The findings indicate that cloud adoption is associated with more efficient reporting, while vendor support, customisation and user readiness remain areas that need attention.

Introduction

1.1 Background of the Study

Financial reports are the main channel through which organisations account to owners, lenders, regulators and managers, and the value of those reports depends on how quickly, accurately and cheaply they can be produced. The accounting information system sits at the centre of this process because it captures transactions, applies accounting rules and assembles the figures that appear in statements. For many years these systems were installed on an organisation's own servers and maintained by its own technical staff, an arrangement that produced stability but also slow closing cycles, repeated data entry and costly upgrades.

Digital technologies have changed this picture. Moll and Yigitbasioglu (2019) argued that internet-related technologies, including cloud computing, big data and blockchain, are reshaping the work of accountants and moving it from routine processing toward analysis and decision support. Within this broader change, cloud-based accounting has become one of the most visible developments, and many organisations now ask whether moving their ledgers and reporting processes to the cloud will make reporting more efficient.

1.2 Cloud Accounting in Contemporary Practice

Cloud accounting refers to accounting software that is hosted by a provider and delivered over the internet, so that users access it through a browser or mobile application instead of installing it locally. Dimitriu and Matei (2015) described this as a new business model in which the provider handles hosting, maintenance and updates, and the client pays a subscription instead of making a large upfront investment. Because the same data can be reached from any location, accountants, managers and external advisers can work on current figures at the same time.

The model has been studied most often in small and medium-sized enterprises (SMEs). Gupta et al. (2018) identified organisational, technological and extrinsic factors that shape the implementation of cloud enterprise resource planning (ERP) in such firms, while Lutfi (2022) and Rawashdeh and Rawashdeh (2023) examined the adoption of cloud accounting in SMEs in Jordan. These studies explain why organisations adopt cloud systems, but fewer studies compare how users of cloud and traditional systems actually evaluate the quality of their reporting processes across firms of all sizes.

1.3 Financial Reporting Efficiency

Efficiency in financial reporting is a multidimensional idea. It includes the speed with which periodic statements are produced, the accuracy and completeness of the information, the cost of the resources consumed and the transparency of the process for those who rely on it. A system that is fast but error-prone, or accurate but expensive to run, cannot be described as efficient in a full sense, which is why the present study treats reporting efficiency as an outcome influenced by several system and organisational characteristics.

The scope of reporting is also widening. Vasarhelyi et al. (2015) and Cockcroft and Russell (2018) showed that large volumes of data create new opportunities for accounting and finance, but they also raise expectations about the timeliness and richness of the information that reporting systems should deliver.

1.4 Traditional and Cloud-Based Systems Compared

Traditional on-premises systems offer familiarity and direct control over data and infrastructure, and long-serving staff are often comfortable with them. Their weaknesses are the cost of maintaining hardware and software, limited integration with other applications and the effort needed to consolidate data from separate sources. Cloud-based systems reduce the infrastructure burden and tend to integrate more easily with payroll, banking and customer systems, but they create dependence on the provider and raise questions about data security, customisation and vendor support (Dimitriu & Matei, 2015).

Whether these differences translate into better reporting outcomes is an empirical question. Gupta et al. (2020) found that the benefits of cloud ERP operate through organisational capabilities rather than automatically, which suggests that the gains depend on the context in which the system is used.

1.5 Organisation of the Paper

The paper is organised as follows. Section 2 reviews the theoretical foundations and empirical evidence and develops ten hypotheses. Section 3 describes the research methodology, including the sample of 400 respondents, the questionnaire and the statistical procedures run in SPSS. Section 4 presents the results through eleven tables and six figures and discusses them in light of earlier research. Section 5 concludes with implications, limitations and suggestions for further study.

Conclusion

This study compared users of cloud-based and traditional accounting systems on seven constructs related to financial reporting efficiency, using a sample of 400 professionals and a set of SPSS procedures. Cloud users reported significantly higher scores for system quality and integration, information quality, ease of use, security and compliance, cost efficiency and reporting efficiency, while service quality did not differ significantly. Reporting efficiency differed across industry sectors, all constructs correlated positively with it, and a regression model with five predictors explained 58% of its variance, with system quality and cost efficiency as the leading predictors. The results have practical implications. Organisations that adopt cloud accounting can expect their largest benefits in cost and reporting efficiency, but they should evaluate vendor support carefully, since it does not improve automatically with the delivery model. Vendors should invest in customisation options and service quality, and finance leaders should treat adoption as a change programme that includes training and staff preparation, in line with the capability view of Gupta et al. (2020). For policy makers, clear guidance on cloud security and compliance would help build trust in cloud-based solutions. The study has limitations. It uses a cross-sectional design and self-reported perceptions, so it cannot establish causation or measure objective outcomes such as closing time and error rates. The comparison groups are defined by the system respondents already use, so differences may also reflect organisational characteristics that influence which system was chosen. Future studies could use longitudinal designs, compare organisations before and after migration, include objective reporting indicators and extend the analysis to other regions. They could also examine the governance and ethical questions raised by automated reporting (Lehner et al., 2022).

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