CLOUD MIGRATION CHALLENGES FOR SMALL AND MEDIUM-SIZED ENTERPRISES: A SECONDARY DATA ANALYSIS

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ABSTRACT

The paper will explore the severe issues that small and medium-sized enterprises (SMEs) encounter upon migrating to the cloud computing platforms based on extensive secondary data analysis. Cloud technology is a revolutionary technology that provides scalability, economy, and flexibility in operations, but SMEs face considerable migration barriers that are not similar to those faced by enterprises. This study, based on a systematic review of existing literature and industry reports and published case studies 2018-2024 onwards, can identify seven main categories of challenges: financial constraints and cost management, security and privacy concerns, technological complexity and skills gaps, data migration and integration issues, regulatory compliance and legal concerns, vendor lock-in risks, and managing change in organizations. The results give SME decision-makers an empirical prioritization model of meeting migration obstacles and educate cloud service providers on the design specifications needed to achieve lower adoption friction levels in smaller business organizations. This paper can offer evidence-based information about the complex nature of cloud migration challenges, as well as valuable recommendations to SMEs, cloud service providers, and policymakers. The study makes a contribution to the existing literature on cloud computing usage in resource-limited settings and serves as a reference point for future empirical studies on the topic of SME digital transformation.
Keywords: cloud computing, cloud migration, small and medium-sized enterprises (SMEs), digital transformation, IT adoption, adoption barriers, secondary data analysis, SME IT strategy, technology adoption models, Technology-Organization-Environment model, organization preparedness.

? INTRODUCTION

Cloud computing has changed the basic aspects of access and use of information technology resources in businesses. This is because the National Institute of Standards and Technology describes cloud computing as a framework of providing ubiquitous, convenient, on-demand networked access to a pool of shareable, configurable computing resources (Mell and Grance, 2011, p. 2). This paradigm in technology provides organizations with an incredible capacity to go large, flexible, and to be cost-effective by removing the huge capital investment requirement on the physical infrastructure (Armbrust et al., 2010).
Small and medium-sized enterprises (SMEs)- generally considered to be any kind of business that employs less than250 people- are a very important element of the overall global economy. The SMEs in the United Kingdom represent about 99.9 percent of all businesses in the private sector, and provide more than half of the turnover in the private sector (Department for Business, Energy and Industrial Strategy, 2021). SMEs have historically had significant drawbacks of not having access to high-level information technology, based on financial means, technical knowledge, and economies of scale due to their limited economic importance (Gutierrez et al., 2015).
Research Objectives
? To list and classify the key issues faced by SMEs when migrating to the cloud by conducting a systematic review of the recent scholarly and industry literature related to migration that was published within the past four years (2018-24).
? To establish the relative occurrence and interdependencies between identified challenge categories to learn how various issues are most commonly encountered to hinder an SME from adopting the cloud and how various challenges are correlated with others.
? To come up with evidence-based advice on SMEs, cloud providers, and policymakers to have more successful cloud adoption outcomes based on the synthesis of existing knowledge and best practices.

? THEORETICAL FRAMEWORK

To comprehend the issue of SME cloud migration, it is necessary to base the theoretical framework on the proven theories of technology adoption. Instead, it can be viewed as an advanced perspective on the impact of technological, organizational, and environmental factors as a means of understanding the issue of technology adoption (Technology-Organization-Environment, Tornatzky and Fleischer 1990). The technological environment covers features of the available technologies, such as complexity and compatibility, the organizational one covers the size of the firm and the available resources, and environmental features involve the industry nature and regulatory environment (Baker, 2012). The model is especially applicable to SME settings where an organization has limited resources, which form specific patterns of adoption in contrast to large companies (Gutierrez et al., 2015).
The Diffusion of Innovation (DOI) theory, a theory introduced by Rogers (2003), is a continuation of TOE that describes the spread of innovations among populations in terms of five important features: relative advantage, compatibility, complexity, trialability, and observability. When it comes to SMEs in particular, the lack of resources contributes to the fact that trialability is especially relevant as the capacity to test cloud solutions with minimal risks becomes one of the key factors contributing to the adoption decisions (Low et al., 2011). Technology Acceptance Model (TAM) dwells upon the determinants of the technology adoption, perceived usefulness, and perceived ease of use (Davis, 1989). The latter affects behavioral intentions and actual use of technology directly; this becomes particularly relevant in SME settings where perceptions of owner-managers directly affect the adoption decision-making in the absence of multiple organizational levels that maximize the impact of these factors in large firms (Gupta et al., 2013).

Figure 1: PRISMA Flow Diagram - Document Selection Process.
Figure 1 shows how the systematic selection of the documents is made using PRISMA guidelines (Moher et al., 2009). Primarily, it was found that 347 potentially relevant documents were found after initial searches. The total number of unique documents used after the elimination of 58 duplicates was 289, which were screened for the title and abstract. The sources were filtered with the exclusion of those that did not specifically discuss SME contexts, those that did not discuss cloud migration or adoption issues, those not within the 2018-2024 timeframe, and those that were not credible according to the requirements of the Critical Appraisal Skills Programme (CASP, 2018).
Inclusion and Exclusion Criteria
Inclusion criteria:
? Published in the period between January 2018 and December 2024.
? Pay attention to the small and medium-sized businesses (less than 250 employees)
Exclusion criteria:
? Only large companies are being looked at without studying SMEs.
? Technically pure papers on the subject without touching on the organizational issues.
? Data Analysis and Extraction
The thematic approach of analysis was used to determine patterns in data that has been extracted (Braun and Clarke, 2006). Each of the documents was systematically reviewed by two independent coders who retrieved the information regarding the perceived challenges, their frequency of occurrence, cases, and other contextual issues. The categorization procedure consisted of several stages of revision to ensure logical division, reduce the overlap of categories, and maintain meaningful differences (Petticrew and Roberts, 2008).
Methodological Limitations
As the secondary data analysis has major benefits, there are a number of limitations that should be considered (Johnston, 2014). First, this study is based on data used in different research activities other than the objectives of the research; this aspect may result in a discrepancy between the data available and the desired data. The researchers had no control over the original data collection techniques, sampling procedures, and measurement tools used in the original studies, and this could lead to an unknown bias (Heaton, 2008).
Second, the diversity in the sources included (including academic research, industry reports, white papers, and government research studies) brings some variation of methodological rigor and possible bias. The industry reports can be subjective in reflecting the vendor views on specific challenges or solutions that serve the commercial interests and do not give an objective assessment (Petticrew & Roberts, 2008).
Third, the bias that is created by publication may bias the available literature to the research that indicates some major challenges or remarkable findings, and therefore deprives the neutral outcomes or other failures in implementation that may be less communicated by the academic literature and the industry (Kitchenham, 2004). The bias may result in exaggeration regarding the prevalence or severity of challenges.
Fourth, even though the 2018-2024 timeframe reflects the current trends, cloud computing solutions and services are changing fast. Previous research in this time period can be represented with previous limitations in technologies or in the market conditions, and the findings can be only restricted in time (Tranfield et al., 2003).
Fifth, there is geographic bias in the literature, with most of the studies identified studying SMEs in developed economies, especially the United States, the United Kingdom, and the European Union. This geographic focus prevents the ability to generalize to SMEs in developing areas that might have varying infrastructure capacity, regulatory conditions, and economic limits (OECD, 2021).

? KEY FINDINGS

Overview of Challenge Categories

FIGURE 2: Prevalence of Challenge Categories
Figure 2 shows the distribution of the frequency of appearance of each category of challenges in the 89 analyzed documents. Financial constraints became the most common one, being noted in 91 out of 100 cases, organizational change management, although also significant, were least represented, 53.
? Financial Constraints and Cost Management
Migration Cost Components
Moving the first costs incur several factors which are often undervalued by SMEs. Preparation of activities takes time on the part of key players who involve an analysis of the existing infrastructure, cloud services, and migration planning (Gupta et al., 2013). Migration services and tools, such as automated migration services and migration consultancy of various types, have high associated licensing or professional service fees. Re-architecture of applications might be required in cases where the current applications need to be changed to be used in clouds (Jamshidi et al., 2013). According to a survey carried out by the IDC (2019), 62% of SMEs estimated initial migration costs at least 30 per cent less than what was actually unexpected in the budget, resulting in a partial or complete migration, leaving organizations with a hybrid environment that is more complicated than expected. This underestimation is based on the inexperience in cloud technologies as well as inadequate discovery processes, which cannot pinpoint all of the requirements and dependencies (Carcary et al., 2014).
Ongoing Cost Unpredictability
There are different sources of the unexpected costs. The cost of data egress on leaving data out of the cloud can add up quickly, especially when its usage is based on the same application that involves data syncing or backup into third-party environments frequently (Marston et al., 2011). SMEs claim that they find it extremely challenging to comprehend the intricate pricing frameworks in various models of services, as well as to realize the opportunities of cost optimization without specialized knowledge of cloud management finance (Carcary et al., 2014). Cloud cost management specialists are hired by large enterprises, whereas in SMEs, there are usually no available resources to hire such specialists. A Gartner (2020) analysis discovered that the total cost of ownership in the cloud deployments was up to 20-40% higher than estimated at the time of projections among the SMEs, and was mainly because of poorly estimated hidden costs and misaligned resources.
? Security and Privacy Issues
Security Threat Landscape
There are several security threats that SMEs complain about when migrating to a cloud environment. Unauthorized access to the compromised credentials, weak access controls, and the use of vulnerabilities pose a risk of data exposure (Hassan et al., 2017). Outside threats and insider attack data breaches might release sensitive customer data, proprietary business information, or potentially disastrous financial data, which has potentially disastrous implications on SME reputation and survival (Pearson, 2013). Malicious cloud provider employee insiders or hacked administrator accounts are rogue elements that the SMEs seem less equipped to monitor and regulate than in the on-premise setup (Cloud Security Alliance, 2019).
Privacy and regulatory compliance
The issue of privacy goes beyond security to include data confidentiality, lack of clarity in the rights to own data, and possible leakage of business secrets (Pearson, 2013). The regulatory frameworks, like the General Data Protection Regulation of the European Union (GDPR), introduce the compliance requirements that SMEs had to adhere to during the migration to cloud environments, including the implementation of proper data protection strategies, keeping the comprehensive records of the processing activities, and the implementation of the data subject rights mechanisms (Tikkinen-Piri et al., 2018).
Skills Gap in Security Management
Most SMEs also do not have in-house security talent to help them correctly evaluate the risks associated with cloud security, are configured to use security controls effectively, use defense-in-depth measures, and more (Hassan et al., 2017). This skills gap exposes SMEs to misconfiguration errors, which explains why most cloud security breaches fall into this category, according to the Cloud Security Alliance (2019) research.

? Technical Complexity and Skills Gaps
Expertise Requirements
Migration to the cloud involves knowledge in various fields beyond the normal skills of SMEs in technical and technical-related areas. Different models of cloud services (Infrastructure-as-a-Service, Platform-as-a-Service, and Software-as-a-Service) and their different applications are technical aspects that several SMEs do not possess (Alshamaila et al., 2013). The work of comparing the providers concerning their performance, reliability, security, compliance, or costs requires advanced technical and business analysis. The achievement of an appropriate solution balance in terms of functionality, performance, security, and cost requires experience in cloud-native patterns of design (Jamshidi et al., 2013). It is a technical undertaking in terms of specification to implement configurations in a proper manner throughout networking, security knowledge, identity management, and resource allocation. Complex distributed environments are known to raise problems when troubleshooting, which is an issue for even seasoned IT professionals (Hassan et al., 2017).
Problem with Application Compatibility
Existing applications that were developed to operate in an on-premises environment would not work well in the cloud environment unless they are modified significantly (Jamshidi et al., 2013). The compatibility issues may be that certain applications can only run under certain versions or configurations that are not offered on the standardized systems, software deopts or uses an out-of-date library that is not supported by the cloud service provider, programs with hard-coded IP addresses or server names may have to be changed, and the software may be licensed to not allow it to be run on a cloud (Gholami et al., 2016).
Infrastructure Dependencies
Cloud computing demands a high bandwidth and connections to the internet that are fast and reliable, and might not be available or affordable to all geographical locations (Gutierrez et al., 2015). The lack of bandwidth to support applications, network delays in real-time operations, reliability in vulnerable situations since others rely on internet connectivity, and high prices of proper broadband infrastructure are among the issues of SMEs in rural/underserved areas (OECD, 2021).
Multi-Cloud Complexity
Although multi-cloud strategies have such benefits as breaking the vendor lock-in, minimizing costs, and making the system more resilient, they suggest immense management complexity that is beyond the technical capacities typically held by SMEs (Hassan et al., 2017). Maintaining relationships with multiple providers, learning new management software interfaces, maintaining uniform in-service security among supporting platforms, and integrating services among providers subjects SMEs to overheads that they cannot readily maintain.
? Data Migration and Integration Issues
Data Transfer Challenges
The transmission of a huge amount of data is challenged in more than one way. The time to complete a transfer of internet connections may also take weeks or months, depending on the amount of data to be transferred and the bandwidth (Gholami et al., 2016). Due to bandwidth restrictions, transfer activities can only be done during off-peak time so that they do not interfere with the running of the business. The dangers of data corruption on the way make the verification measures and possible retransmission necessary. The other costs are network bandwidth costs, the cost of a migration tool license, and possible cloud provider data ingress costs (Wen et al., 2017).
Data Quality Issues
Cloud migration also causes organizations to deal with data quality challenges that could have accumulated over the years, such as the inconsistency of data format across systems, duplication of data due to multiple entry points, incomplete records, and lack of some necessary fields, obsolete data that is no longer applicable to the organization, and inconsistent application of business rules across databases (Hassan et al., 2017).
Integration Requirements
The successful cloud adoption is usually accompanied by the need to integrate the processes of cloud adoption and the remaining on-premises systems, which creates some technical challenges in connecting the applications between the cloud environment and on-premises environment, synchronization of the data flows between the distributed systems, coherent in the business processes, authentication and authorization across environments, and acceptable performance regardless of the network latency (Jamshidi et al., 2013).
Business Continuity Issues
The challenge of business continuity throughout the migration poses a major challenge, especially in the case of SME that have minimal redundancy and lack the capacity to handle long downtime (Garrison et al., 2012). The issues that are of concern are ensuring that the interruptions of its services, which might affect customer satisfaction and revenue are minimized, the data consistency during the transition, the availability of the required systems and data to staff at any time, and the ability to have contingency plans in case the migration processes might face unforeseen issues (Carcary et al., 2014).
5. Regulatory Compliance and Legal Considerations
Data Sovereignty Concerns
The geographically distributed nature of cloud computing poses a problem when it comes to data sovereignty, meaning, the fact that data is subject to the laws of the nation where it is being kept (Pearson, 2013). SMEs are concerned with data stored in the jurisdiction of different legal protection systems, access to data with foreign legal systems like the CLOUD ACT implemented in the United States, and the contradictory legal requirements when data has to be moved across multiple jurisdictions (Tankard, 2012).
Contract Complexity
Cloud services come with legal challenges that are usually nuanced, which SMEs lack knowledge on how to navigate (Gupta et al., 2013). The difficulties can be the complicated terms of service that are written and must be negotiated according to the limited bargaining power in case of provider standardization, adequate service level agreements with corresponding remedies, and the adjustment of the liability issues in case of the loss of data, breach, or service failure (Subramanian and Jeyaraj, 2018).
Industry-Specific Regulations
Various industries have their specific regulatory frameworks that have extra compliance requirements. Medical institutions that are subject to HIPAA need to negotiate Business Associate contracts with their cloud providers and maintain essential protection (Garrison et al., 2012). Bank-supervised financial services providers have data residency policies, auditing, and data, as well as operational resilience requirements. Students' data in educational institutions is to be managed in line with FERPA and other security measures (Tikkinen-Piri et al., 2018).
6. Vendor Lock-In Risks
Technical Lock-In
Technical dependencies are developed by proprietary technologies. Applications that depend on provider-specific APIs will need modifications in the code to change providers (Opara-Martins et al., 2016). Proprietary data formats would require conversion. Application architectures that have been developed to suit the capabilities of a particular platform may need significant re-engineering. There is a need to replace management tools as well as operational procedures that are developed based on provider-specific interfaces (Wen et al., 2017).
Economic Lock-In
Other than the technical inhibitors, there are economic factors that inhibit switching. Financial disincentives are brought about by the high data egress charges by the providers when transferring data out (Jamshidi et al., 2013). This creates cost as it requires the software licenses to be bought again on new platforms. Reconfiguring to deliver services on other platforms involves technology costs and the time of the staff. The reduction of volume discounts gained over time with the existing providers increment compares costs of substitutes (Carcary et al., 2014).
Organizational Lock-In
Organizational knowledge created within the particular platform is another type of lock-in where sensitization of the employees within a specific platform makes switching between platforms attract switching costs due to the requirements of retraining (Alshamaila et al., 2013). Approaches to providers are stored in documented procedures and operational knowledge. When changing vendor, support relationships and account management have proved to be of value that is lost (Opara-Martins et al., 2016).
7. Management of organizational change
Resistance to Change
Cloud migration might be unwelcome by employees and the management due to a number of reasons. Inertia comes about due to a lack of comfort with the current systems and an unwillingness to master new tools (Alshamaila et al., 2013). The threat of losing their jobs, especially the IT employees who fear it might lead to the downfall of internal technical staff, is a source of opposition. General resistance to change based on uncertainty about the impact of new systems on the daily working practices is shown through subtle non-cooperation (OECD, 2021).
Skills Development Requirements
Effective cloud implementation involves the acquisition of new skills in the entire organization. The cloud technologies, architectures, and practices of operation are different among technical staff and require substantial training and learning in contrast to usual IT management (Hassan et al., 2017). The end users require education to embrace emerging applications and interfaces. The management should be aware of the cloud economics, security framework, and governance strategies to make suitable decisions (European Commission, 2020).
Cultural Transformation
Cloud computing demands non- technical cultural changes. Organizations should shift their minds towards operational expenditure, rather than capital expenditure, which requires budgeting and financial planning to change (Subramanian and Jeyaraj, 2018). To allow less direct control of infrastructure, trust towards providers must be given, and shared responsibility models need to be adjusted. The adoption of agile practices made possible by the cloud requires a change in the planning horizon and decision-making procedures (Carcary et al., 2014).
Leadership Challenges
Effective cloud adoptions involve effective leadership dedication between technology adoption and business goals, but owner-managers of SMEs might not have the background experience in technology to spearhead any initiative (Gupta et al., 2013). Lack of visible leadership support can leave cloud migration as an IT endeavor with no business priority and resources (Hassan et al., 2017).
? Discussion and Implications
The findings reveal that SME cloud migration challenges span technical, financial, organizational, and regulatory domains with significant interdependencies. Financial constraints pervade nearly all categories, restricting SMEs' ability to address technical complexity, implement security measures, invest in training, or negotiate favorable terms (Gupta et al., 2013). These interconnections suggest that addressing individual challenges in isolation proves insufficient; successful migration requires holistic strategies addressing multiple dimensions simultaneously (Hassan et al., 2017).
For SMEs, comprehensive planning and assessment are essential, including thorough cost analysis, realistic capability evaluation, careful review of regulatory obligations, and assessment of organizational readiness (Carcary et al., 2014). Phased migration approaches prove more manageable than complete simultaneous migration, allowing SMEs to learn from initial implementations and spread costs over time (Jamshidi et al., 2013). Cloud service providers can better serve the SME market by offering simplified pricing models, comprehensive documentation, dedicated support programs, and pre-certified compliance frameworks (Hassan et al., 2017). Policymakers should consider subsidies offsetting migration costs, training programs developing cloud skills, awareness campaigns, and improved digital infrastructure (OECD, 2021).

? Conclusion

This comprehensive analysis has identified seven major categories of challenges facing SMEs during cloud migration: financial constraints, security concerns, technical complexity, data migration issues, regulatory compliance, vendor lock-in, and organizational change management. These challenges reflect the multifaceted nature of cloud migration, requiring not only technical implementation but also financial investment, organizational transformation, and strategic vendor management. Despite significant challenges, cloud computing offers substantial potential benefits for SMEs, including reduced costs, enhanced scalability, and improved business continuity (Marston et al., 2011). Successfully realizing these benefits requires strategic planning, realistic assessment, phased implementation, skills development, and careful vendor selection.

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