Shared Service Center Research Articles

Research and Application of Business Law Information Management System Based on Big Data

China’s manufacturing industry has set off a wave of digital transformation innovation, and the commercial law information management system, as one of the important tools to enhance the intelligent management ability of enterprises, will also face a new round of reform and upgrade. Building an “intelligent commercial law information management system platform” is the primary transformation path for traditional manufacturing enterprises to realize intelligent upgrading of commercial law information management system. The “intelligent commercial law information management system platform” is a management information sharing service platform that enables enterprises to achieve the goal of collaborative management by integrating their own business models and product technology needs with the help of emerging digital technologies, which can help enterprises realize the organic integration of business processes, risk management, value creation, and other management needs and change the original. The platform can help enterprises realize the organic integration of business processes, risk management, value creation, and other management needs and change the focus of the traditional financial shared service center, so that the enterprise business law information management system can be shifted to the enterprise strategy-oriented, focusing on risk control, decision support, and other high-level management. Therefore, it is particularly important to evaluate and optimize the “intelligent business law information management system platform” of manufacturing enterprises in the process of digital transformation. In this context, this paper conducts research and application of commercial law information management system based on big data, conducts an in-depth study on the current status of commercial law information management system in China, and provides an outlook on commercial law information management in China by establishing a relevant model system.

The Application of Big Data Technology in the Construction of Financial Shared Service Center of Agricultural Enterprise Group

The prerequisite for the reasonable construction and successful implementation of the financial sharing center of the agricultural enterprise group is that the agricultural enterprise group must fully understand the financial sharing center, understand the steps and key points of its construction, and comprehensively design and re-engineer the business process. This paper combines the big data technology to construct the financial sharing center system of agricultural enterprise groups, combines the machine learning algorithm to improve the big data processing algorithm, and builds the intelligent financial sharing platform with the support of the improved algorithm, and builds the overall system architecture and operation process. After constructing the system, the performance verification and practical verification of this system are carried out through experimental research. From the research results, it can be seen that the system constructed in this paper has good data processing effects and data sharing effects, and has good security, which meets the financial sharing needs of agricultural enterprise groups.

A Discussion on the Establishment of Financial Shared Service Center for Medical Groups

Financial transformation has become a trend, and under the influence of medical reform policies, such as the zero-price difference in pharmaceutical consumables and medical insurance payment by disease, the cost pressure on the medical industry is exceptionally high. The primary focus of this paper is on how to integrate resources and obtain cost advantages through financial shared service center, so as to increase the competitiveness of regional medical groups.

Human Capital Readiness in Facing Industry 4.0 – Study Case Shared Services Finance in Energy Company, PT Perminyakan

PT Perminyakan established a new organization named Shared Service Center (SSC) in 2018 as one of the embodiment of digital transformation of the company. SSC consist of four functions called multitower, they are Finance, IT, Human Capital and Asset Management. Shared Service Finance (SSF) provide services to stakeholders (customers, suppliers, and other function inside PT Perminyakan) in finance operation activities. In the daily job, SSF face many challenges, high volume and repetitive jobs are occurs every day. SSF helped by the management team that provide technologies industry 4.0 based to help and assist them in doing their daily activities. But the utilization of the tools is still low. Based on these problems, in this final project a research was conducted using a combination of quantitative and qualitative methods using questionnaire and equipped with semi-structured interviews to obtain data and information that will be included in the concept of Human Capital Readiness. Human Capital Readiness seen from four aspects: Knowledge, Hard Skill, Soft Skill, and Attitude. Furthermore, interviews were conducted to determine and give deeper information about the questionnaire result and gain insight about how company respond to the condition. SSF also has SIERA, it is an industry 4.0 based tool that develop by SSF itself. It uses Artificial Intelligence based technology. Writer also use the quantitative and qualitative method to find out the Human Capital Readiness of SSF in implementing SIERA. Furthermore, from Human Capital Readiness assessment that provide Human Development Index (HDI), a gap was used to determine some aspects that defined as ready, optimal, not ready. From the questionnaire and interviews that validate the questionnaire result, writer also give some recommendation of implementation plan to the company. The findings in this study are divided into two scopes. The first is about readiness to face the industrial 4.0, and the second is about the readiness in implementing SIERA. First scope give result that Knowledge and Soft Skill are not ready, but Hard Skill and Attitude are optimal. By this result, writer give recommendation to increase digital literation, upskilling and re-skilling, and culture development (digital leadership and digital mindset). Second scope give result that Hard Skill and Attitude are not ready, meanwhile Knowledge is optimal and Soft Skill is ready. Writer give three recommendations: upskilling, solve application issues and update, and aggressive branding for SIERA.

The Impact of Workforce Skills on the Choice of Location of Enterprises from the Business Process Outsourcing/ Shared Service Center Sector

Human capital consists of knowledge, skills, and competences innate or acquired by employees working in the organization. This article deals with the issue of the effect of human capital on the location decisions of enterprises from the BPO/SSC sector. We focused on two main components of human capital, i.e., soft skills and hard skills, which are crucial location factors for the BPO/SSC enterprises. The research instrument was the questionnaire containing questions regarding location factors of enterprises from the BPO/SSC sector. The research sample consisted of 58 enterprises. The principal component analysis and the linear regression were used to conduct analyses. Our findings show that only soft skills have the impact on the choice of location by offshoring companies.

Improving the Application of Blockchain Technology for Financial Security in Supply Chain Integrated Business Intelligence

For major organizations, establishing financial shared service centers to unify the financial activities of entities in multiple countries and regions for bookkeeping and reporting has become the trend for financial and management optimization. Based on this, this paper selects security company A as a case study, introduces the emerging blockchain technology (BCT) as the core and embeds it into the concept of financial shared center, tries to explore a new model of financial shared service model under BCT from the theoretical perspective, and optimizes the original service model by improving its business process, creating visualized, supervisible, and traceable financial data processing capability, and expanding. This paper first examines the financial shared service model of Company A. This paper starts with the actual situation of Company A’s financial shared service model. Complex procedures, highly centralized information, unreasonable division of labor in corporate processes, and a lack of adequate information communication methods are discovered through process analysis. New requirements for accountants have emerged in the digital age, and the security protection of private keys in asymmetric encryption algorithms in organizations, particularly in large and medium-sized enterprises, must be done well.

Optimization of University Financial Services Using the Blockchain Technology

At present, the financial work of most colleges and universities is facing the dilemma of low intelligence level. The financial sharing mode of colleges and universities using blockchain technology can effectively supervise their financial management while solving the problems of high costs related to financial sharing services, hidden dangers of data security, and low efficiency. Therefore, this paper makes an in-depth study on the application of blockchain technology and the financial sharing service mode of colleges and universities. Firstly, the University Financial Sharing Service Center platform based on blockchain technology is constructed. Furthermore, each module of the service center platform is described. Combined with the constructed platform, university finance is deeply mined by using the mining algorithm based on certain association rules, which is convenient for effective management. Finally, an artificial intelligence algorithm is used to adaptively optimize financial management. Similarly, the planning model and fitting algorithm of the least square method are used to control the risk of the financial management so as to realize the optimization of the financial sharing service mode. The experiment results demonstrate that the proposed method can effectively improve the efficiency of the financial sharing service and reduce the potential safety problems and costs of financial management.

Exploration of Lean Management Methods Used in Shared Services Centers, Drivers and Barriers to Process Selection for Improvements in the Light of Risk Management and ESG Reporting

This paper aims to study how processes are selected for improvements in shared services centers (SSCs), and if the risk management aspect is considered during process improvements. Lean management has become a highly regarded platform for process improvement within organizations with the focus being on waste reduction and value added at the customer level. As a leading destination of SSCs, Poland has been seen implementing this approach since at least 2015 with the main benefit being cost reduction. This philosophy opens the door to identifying potential waste reduction and ongoing efficiencies of processes that have been migrated to SSCs. With the identification of the research need, firstly, a targeted literature review on tools and models of process selection for improvements was performed. The second step entails in-depth interviews with lean management experts, surveys with detailed questions in the area of lean management implementation, and finally a case study on measurements of testing the effectiveness of applying lean management methodology. The findings present drivers and barriers to selecting of processes subject to lean management. Although lean management activities are strongly supported by risk management experts, there is no synergy between the two streams causing the need for further research in SSCs.

A fuzzy-set qualitative comparative analysis of factors influencing successful shared service center implementation

PurposeOrganizations nowadays require services supplied by shared service centers (SSCs) to achieve organizational responsiveness. Previous contributions focused on distinct qualitative-explorative factors for explaining successful SSC implementation but failed to consider the interdependencies and combined effects between factors.Design/methodology/approachDrawing on complexity and configuration theories, this research employed a fuzzy-set qualitative comparative analysis (fsQCA). A unique dataset of 121 international firms was obtained to examine the combined effects of five conditions (factors), namely, modularization, standardization, decision-rights, portfolio and customer-orientation .FindingsThe findings show that multiple configurations of conditions (or solutions) can lead to successful SSC implementation. The fsQCA results indicated that portfolio and standardization are perceived as core conditions in all configurations. Firms that focus on portfolio and continuous evaluation of customer-orientation are more likely to be successful. Furthermore, in some configurations, the size of the firm size matters.Research limitations/implicationsThe cross-sectional survey data might be a potential limitation. In future research, a more extensive survey can be collected to help generalize the results.Practical implicationsSuccess factors are dependent on the SSC configuration. Standardization, portfolio management and regular evaluations of changing customer services by executive management are needed.Originality/valueTo the best of the authors' knowledge, there is no academic study that examines SSC implementation based on salient conditions using a configurational thinking approach. As such, the findings of the research allow us to better understand the causal complexity and interdependencies between essential SSC factors.

Research on Travel Reimbursement Behavior Management Based on Deep Learning in Financial Sharing Mode

The standardization, transformation and upgrading of financial management plays an important supporting role in promoting the standardized management and healthy operation of corporate expense reimbursement behaviors. This paper starts with the behavioral portrait of enterprise personnel travel expense reimbursement. Based on the problems of lengthy process and complex financial accounting in most reimbursement behaviors at this stage, an efficient and efficient expense reimbursement processing method is proposed, that is, reimbursement through collection Information images, using the convolutional neural network algorithm under deep learning, to detect target images and identify valid information, and rely on the financial shared service center's screening function of expense reimbursement behavior portraits under big data, the integrity of expense reimbursement data. Compliance is judged, thus forming a complete set of standardized and procedural personal self-service reimbursement model, which optimizes the management of enterprise expense reimbursement behavior, avoids subsequent losses and resource waste caused by human risks, and improves enterprise operation efficiency and expenses. Control has certain value and reference significance.

The Construction of Haier Financial Shared Service Center under the " Integrating Order with Personnel " Model

Founded in Qingdao, Shandong in 1984, Haier Group has grown from a small refrigerator manufacturer to the world's No. 1 white goods brand. In 2005, the concept of " Integrating Order with Personnel " was put forward, and in 2006, under the guidance of this concept, it became one of the first enterprises to establish a financial shared service center in China. This paper mainly analyzes the structure of Haier Financial shared service center from three aspects: the background, development and effect of its construction, so as to deepen the understanding of the financial shared service center.

No longer second-class citizens: Redefining organizational identity as a response to digitalization in accounting shared services

AbstractNew technologies can become an identity-challenging threat for organizations. While there is a growing literature on how new technologies challenge fundamental questions of organizational existence such as ‘who are we?’, ‘what do we do?’, and ‘what do we want to be?’, this literature has largely overlooked how new technologies can become drivers of organizational identity change. In this article, we investigate the impact of digitalization, especially Robotic Process Automation, on organizational identity. Drawing on the analysis of shared service centers in Asia and Eastern Europe, we explored how these organizations respond to identity-challenging technologies. While traditionally, work in shared services has been characterized by a combination of standardization, controlling the labor process, and deskilling, we found in this study that shared service organizations are responding to the digital challenges by moving up the value chain to more complex, knowledge-intensive work. As a result, shared service organizations in our study began to redefine their organizational identity by, among others, professionalizing their workforce.

Shared Service Center: measuring performance from the perspective of the customer, supplier and theory

Shared service centers have become one of the most discussed models and have been widely diffused by companies. It helps to reduce costs and to standardize operational processes, bringing more efficiency. But there is still a dilemma under its performance, the gain in processes centralization and especially when compared to outsourcing services. The intention of this article is to demonstrate the various perceptions of this model, comparing the views of the client, the supplier and the available theory. A bibliographic review and a case study were applied and demonstrated that in shared service center, the specialization workforce is a strong ally. Also, it centralized the processes with scale gain, eliminated distance between the units, improved the information technology processes and improved communication.

Enterprise Financial Data Sharing Based on Information Fusion Cloud Computing Environment

At present, many companies have many problems such as high financial costs, low financial management capabilities, and redundant frameworks; at the same time, the SASAC requires that the enterprise’s financial strategy transfer from “profit-driven” to “value-driven”, finance separate from accounting to improve the operational efficiency of the company. Under this background, more and more enterprise respond to the call of the SASAC; in order to achieve the goals of corporate financial cost savings and financial management efficiency improved, we began to provide services through financial sharing. The research of information fusion theory involves many basic theories, which can be roughly divided into two large categories from the algorithmic point of view: probabilistic statistical method and artificial intelligence method. The main task of artificial intelligence is to realize the computer for some learning, thinking process, and wisdom formation of simulation, and an important goal of information integration is the human brain comprehensive processing ability simulation, so artificial intelligence method will have broad application prospects in the field of information fusion; the common methods have D-S evidence reasoning, fuzzy theory, neural network, genetic algorithm, rough set, and other information fusion methods. The purpose of this paper is to proceed from the internal financial situation of the enterprise, analyze data security issues in the operation of financial shared services, and find a breakthrough in solving problems. But, with constantly expanding of enterprise group financial sharing service scale, the urgent problem to be solved is how to ensure the financial sharing services provided by enterprises in the cloud computing environment. This paper combines financial sharing service theory and information security theory and provides reference for building financial sharing information security for similar enterprises. For some enterprise that have not established a financial shared service center yet, they can learn from the establishment of the financial sharing information security system in this paper and provide a reference for enterprise to avoid the same types of risks and problems. For enterprise that has established and has begun to practice a financial shared information security system, appropriate risk aversion measures combined with actual situation of the enterprise with four dimensions related to information security system optimization was formulated and described in this paper. In summary, in the background of cloud computing, financial sharing services have highly simplified operational applications, and data storage capabilities and computational analysis capabilities have been improved greatly. Not only can it improve the quality of accounting information but also provide technical support for the financial sharing service center of the enterprise group, perform financial functions better, and enhance decision support and strategic driving force, with dual practical significance and theoretical significance.

Implementation of new technologies in accounting and financial processes: An effectiveness assessment

Objective: The aim of this paper is to explore accountants’ views on the usage of Robotic Process Automation technology (RPA) which brings efficiency increase. Research Design & Methods: An online survey has been addressed to over 500 respondents from international companies, where 160+ complete answers were received from the most important types of organizations in the business services industry. The non-parametric rho Spearman correlation coefficient and the non-parametric Kruskal-Wallis test and business case for the RPA implementation efficiency were used. Findings: Based on the research results obtained, it should be emphasized that robotization technologies which raise the efficiency of financial and accounting services make an important impact on the efficiency of modern business services sector. Application of RPA assumes replacing work of an existing employee with the use of dedicated software (software robots) to support activities, primarily repeated and uncomplicated, characterized by a low number of exceptions. Implications & Recommendations: RPA application is commonly used in modern business services, particularly in the areas of Finance, Accounting, IT and Human Resources Management. By utilizing RPA technology, the effectiveness of operations increases while reducing workload, minimizing possible errors in the process. The greatest efficiency resulting from the RPA implementation was observed in the Accounts Payable department, to a lesser extent in the General Ledger department and in the Tax section. The assessment of managers in terms of the effects of RPA implementation is unequal, while for Business, IT Process Outsourcing companies (BPO / ITO), Shared Service Centers (SSC), Consulting / Advisory companies and their customers no significant differences were found. Contribution & Value Added: The article presents an assessment of the effectiveness of the use of Robotic Process Automation in Process Outsourcing companies (BPO / ITO) and Shared Service Centers (SSC) operating in Poland. It is one of the first studies of this type for enterprises operating in Poland. The article uses a relatively large number of responses (160+) from the respondents. In the previous studies in the literature, the answers obtained came from a much smaller number of respondents and were conducted in the form of direct interviews. In the article, the group of respondents consists not only of managers of outsourcing companies, but also auditing companies and clients of outsourcing companies. The article also presents a financial simulation of the effectiveness of BPO / ITO and SSC using Robotic Process Automation, which additionally validates the responses obtained in the questionnaire.

The Culture of Diversity and Creativity or the Monotony of Processes and the Culture of Servitude? The Analysis of the Characteristic Features of the Organizational Culture of the Shared Service Centers of Transnational Corporations

Poland is the European center of specialized, outsourced competences and services, an example of which is the growing number of Shared Service Center (SSC) of transnational corporations in Poland. One of the factors that influence the quality and nature of the work in SSCs is their organizational culture. The objective of the article is to get to know the characteristic features and manifestations of SSC organizational culture, which is crucial to understanding the specificity of the work in SSCs. The article is theoretical and practical. Due to the multifaceted and definitional complexity of the organizational culture, the theory in the theoretical part was organized in such a way that four areas of its analysis were defined. In the practical part, the analysis of the characteristic features and manifestations of the organizational culture of Shared Service Centers, as well as its relationship with the parent company (headquarters), was carried out on the basis of the conducted empirical research.

Gerenciamento de reclamações: O impacto da satisfação pós-reclamação no comportamento organizacional

Abstract Purpose: The objective of this research was to investigate satisfaction with the management of complaints through perceptions of organizational justice and its subsequent impact on organizational commitment, involvement, and engagement at work of internal customers in the shared services centers (SSC). Originality/value: We used the model developed and tested by Tax et al. (1998), which in this study was adapted to the organizational context of the SSC. This approach is unprecedented and aims to reduce the defragmentation of academic literature in SSC (Richter & Brül, 2017), which is at an early stage of development (Knol et al., 2014). Design/methodology/approach: This is a quantitative-descriptive cross-sectional study, whose data were collected from internal clients of SSC (employees of the branches) through a survey, resulting in 172 valid answers that were analyzed through structural equation modeling (SEM). Findings: The results obtained indicate that perceptions of distributive and procedural justice affect the satisfaction of internal clients with the management of complaints. Organizational commitment, involvement and engagement are directly influenced by satisfaction with the management of complaints.

Projektowanie efektywnego transferu wiedzy w organizacji - studium przypadku na podstawie projektów migracyjnych realizowanych w dwóch organizacjach typu SSC

This article deals with the subject of knowledge transfer in an organisation, with particular emphasis on the description of tools used for knowledge transfer, as well as the possibility of using theoretical models to design effective knowledge transfer in organisations, such as shared services centres (SSCs). The main objectives of this research were to identify knowledge transfer tools used in SSC companies and check the possibility of using the Knowledge to Action (KTA) model to design effective knowledge transfer in an organisation. The analysis was based on qualitative research carried out in two SSC organisations, with the results showing that both organisations use a variety of knowledge transfer tools, such as in-house training or development programmes using new technologies, and confirmed that the KTA model can be used to design the knowledge transfer process. As the data analysis shows, the human factor plays a very important role in the transfer of knowledge - primarily the skills of people involved in the transfer of knowledge and their motivation to transfer it and share it with other employees. The obtained results can be treated as an indication for organisations in the area of knowledge management, and in particular in the field of designing effective knowledge transfer. Creating an effective knowledge management strategy allows a company to retain knowledge, and as a result contributes to strengthening its market position.

Problems and Optimization of Enterprise Financial Sharing Service Center -- Take Order Group as an Example

Digital economy has become the core element of modern business, among which financial digitization means to change the traditional financial model, and plays a decisive role in the digital transformation of enterprises. The financial sharing service center integrates the financial functions which were scattered at all levels of the enterprise and improves the efficiency of financial management. The construction of financial sharing service center often encounters difficulties in personnel management, information system construction and other aspects. If the existing problems can be analyzed and the solutions can be put forward in time, the operational value of financial sharing service center can be guaranteed. This paper will start with Order Group to analyze the problems from the construction to the landing and operation of its financial sharing service, and analyze the reasons and optimization scheme.

Improving Software Robot Maintenance in Large-Scale Environments–is Center of Excellence a Solution?

Robotic Process Automation (RPA) performs high-volume tasks such as checking invoices. However, the governance and maintenance of large-scale software robot environments can be challenging when robot servers perform automatized tasks simultaneously for customer organizations with complex programming rules, dedicated parameters, and dependencies on timetables. A multivocal literature review (MLR) was conducted to explore whether there are 1) mechanisms to improve software robot maintenance in large-scale robot environments, 2) or software robot maintenance practices for scalable RPA in organizations providing shared services, 3) or governance models for optimizing the performance of software robot maintenance, and 4) is the Center of Excellence (CoE) one of the success factors concerning large-scale robot environments. By doing this, 5) we found eleven functional requirements for the monitoring tool to support maintenance in a large-scale environment. In addition, we adapted them to the RPA monitoring tool abilities for the Finnish Government Shared Services Centre for Finance and HR (Palkeet). As a result, the eleven functional requirements and the monitoring tool abilities are adaptable for other large-scale environments to improve software robot maintenance. However, commercial monitoring tools for RPA maintenance do not fulfil functional requirements, and organizations in large-scale environments must develop their monitoring tools. Based on MLR, either in-house or outsourced CoE seems to be one of the success factors in RPA maintenance in large-scale environments.