Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment
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Hu, Kuang-Hua; Hsu, Ming-Fu; Chen, Fu-Hsiang; Liu, Mu-Ziyun Article Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment Financial Innovation Provided in Cooperation with: Springer Nature Suggested Citation: Hu, Kuang-Hua; Hsu, Ming-Fu; Chen, Fu-Hsiang; Liu, Mu-Ziyun (2021) : Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment, Financial Innovation, ISSN 2199-4730, Springer, Heidelberg, Vol. 7, Iss. 1, pp. 1-27, https://doi.org/10.1186/s40854-020-00219-9 This Version is available at: https://hdl.handle.net/10419/237242 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes. You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by/4.0/
Identifying thekey factors ofsubsidiary supervision andmanagement using aninnovative hybrid architecture inabig data environment Kuang‑Hua Hu1, Ming‑Fu Hsu2, Fu‑Hsiang Chen3* and Mu‑Ziyun Liu4 Abstract In a highly intertwined and connected business environment, globalized layout plan‑ ning can be an effective way for enterprises to expand their market. Nevertheless, conflicts and contradictions always exist between parent and subsidiary enterprises; if they are in different countries, these conflicts can become especially problematic. Internal control systems for subsidiary supervision and management seem to be particularly important when aiming to align subsidiaries’ decisions with parent enter‑ prises’ strategic intentions, and such systems undoubtedly involve numerous criteria/ dimensions. An effective tool is urgently needed to clarify the relevant issues and discern the cause‑and‑effect relationships among them in these conflicts. Traditional statistical approaches cannot fully explain these situations due to the complexity and invisibility of the criteria/dimensions; thus, the fuzzy rough set theory (FRST), with its superior data exploration ability and impreciseness tolerance, can be considered to adequately address the complexities. Motivated by efficient integrated systems, aggregating multiple dissimilar systems’ outputs and converting them into a consen‑ sus result can be useful for realizing outstanding performances. Based on this concept, we insert selected criteria/dimensions via FRST into DEMATEL to identify and analyze the dependency and feedback relations among variables of parent/subsidiary gaps and conflicts. The results present the improvement priorities based on their magni‑ tude of impact, in the following order: organizational control structure, business and financial information system management, major financial management, business strategy management, construction of a management system, and integrated audit management. Managers can consider the potential implications herein when formulat‑ ing future targeted policies to improve subsidiary supervision and strengthen overall corporate governance. Keywords: Decision making, Swarm intelligence, Internal audit, Fuzzy rough set theory Open Access © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the mate‑ rial. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons .org/licen ses/by/4.0/. RESEARCH Huetal. Financ Innov (2021) 7:10 https://doi.org/10.1186/s40854-020-00219-9 Financial Innovation *Correspondence: [email protected] 3 Department and Graduate School of Accounting, Chinese Culture University, Taipei, Taiwan Full list of author information is available at the end of the article
Page 2 of 27 Huetal. Financ Innov (2021) 7:10 Introduction With globalization and the rise of emerging economies, many companies have simultaneously invested in domestic and foreign countries and set up subsidiaries to promote rapid growth by developing more markets and enhancing market competitiveness (Decreton etal. 2019; Doz etal. 2001). Faced with existing political and economic environments and market changes in different regions while trying to avoid the contradiction of business diversification, firms must simultaneously ensure that subsidiary operations do not deviate from the parent company’s strategic intentions and harm its investment interests (Hensmans and Liu 2018; Stea etal. 2015). To address the problem of subsidiary management, Chiang etal. (2008) investigated the relationship between the parent firm and subsidiaries required to reach the goal of smooth operations and positive performance outcomes. Strengthening subsidiary supervision is a major problem for parent companies when they take actions to expand their business success by adding overseas operations (Nuruzzaman etal. 2018). Expansion by parent companies is important to national economic development; therefore, establishing a scientific supervision system for subsidiaries is crucial for the survival and development of these companies (Zhao etal. 2013). When an enterprise sets up subsidiaries, it needs to keep pace with the market and continuously adjust its business strategies. Furthermore, industry characteristics and both internal and external environments must be considered when establishing supervision to effectively prevent and resolve various risks and obtain competitive advantages. As a gatekeeper of a parent company’s supervision over its subsidiaries, an internal audit is paramount to any management success (Cahill 2006). It can supervise the entire process of subsidiaries’ business activities and transfer internal information through multiple channels in order to reduce the asymmetry of an enterprise’s internal information and to realize comprehensive subsidiary monitoring. Similarly, as an important component of corporate governance, an internal audit helps the parent company conduct more effective subsidiary supervision by identifying the risks subsidiaries may face in ever-changing environments (Zaharia etal. 2014; Arthur 2017). An internal audit evaluates the level of enterprise risk management and the effectiveness of internal control, helps a firm achieve strategic goals, and adds value to operations by providing suggestions for enterprise management (Gul etal. 2018). An effective internal audit can ensure the quality of subsidiary supervision, assist the parent company’s management, and improve internal controls. Based on the goal of effectively performing their fiduciary responsibility, an internal auditor participates in corporate governance activities by evaluating the internal controls of various specialized areas within an organization, thus forming a balance of power (Singh 2003). In this way, an internal audit can go beyond the traditional role of monitoring internal control procedures and play a special role in governance. In this role, an internal audit improves the quality of subsidiary governance, aids in achieving the parent company’s goals, and helps managers better arrange and more effectively control subsidiary operating activities. Thus, it is necessary for businesses to clarify the required factors for subsidiary supervision and management. Prior studies on subsidiary supervision and management are not comprehensive and primarily consist of empirical case studies (Botez 2012; Petrascu and Tieanu 2014) or regression analysis (Jaussaud and Schaaper 2006; Luo 2001). However, the assumptions
Page 3 of 27 Huetal. Financ Innov (2021) 7:10 of independence, normality, and linear relationships between variables in these traditional statistical methods are often inconsistent with the real-world characteristics of the complex and intertwined relationships among supervision elements, limiting the ability to extract important information. Accordingly, to comprehensively explain real-world situations and explore hidden information, numerous artificial intelligence (AI)-based approaches have been introduced to handle internal control issues, such as performance measurement, (Dossi and Patelli 2008; Fitzgerald and Rowley 2015), credit rating analysis (Yu etal. 2015), mutual fund performance (Kong etal. 2019; Moradi and Mokhatab Rafiei 2019), and corporate governance (Alharbi etal. 2016), without satisfying strict statistical assumptions. For unknown domains, users generally want to collect as much information as possible to understand the underlying situation. However, too much information confuses users and leads to biased judgments. To handle this challenge, data exploration that aims to assist users in realizing the investigated reality faster and provide reliable results. The rough set theory (RST) (Pawlak 1982) is a potent mathematical tool for data exploration. Use of RST allows for the exploration of data via a rule representation structure, such as an if_(condition)-then_(decision) representation, which makes it possible to conveniently depict a knowledge domain as relations connecting premises and conclusions arising out from the observations of those premises (Nowak-Brzezińska and Wakulicz-Deja 2019). Furthermore, if the extracted knowledge cannot be examined or tested by users, they will have a strong incentive not to employ this model and to impede its practical applications. The knowledge expression in an if–then format has demonstrated its intuitiveness and clearness. Thus, RST has been widely initiated upon many research domains, such as quality prediction (Yin etal. 2019), energy consumption (Cao etal. 2020), spam classification (Dutta etal. 2018), stock exchange (Joulaei and Mirbolouki 2020), and customer churn prediction (Vijaya and Sivasankar 2018). Traditional RST has two significant data pre-processing deficiencies that need to be overcome: (1) it only can handle crisp data (i.e., it cannot handle real-valued data) and (2) it is inadequate at finding the minimal reduct (i.e., the smallest sets of features possible) because its run time of generating all reducts is exponential (Chang etal. 2018; Keramati etal. 2016; Jensen and Shen 2005). To solve these issues simultaneously, this study adopted the characteristics of the membership function of the fuzzy set theory (FST) to solve the RST defect of data loss and to improve data quality and the reliability of decision-making. By integrating FST into RST, the hybrid model (i.e., fuzzy rough set theory, FRST) can handle both data structures (i.e., crisp data and real-valued data) and also can extend their practical applications (Jensen and Shen 2005). An additional problem with traditional RST is finding the best variable combination (that is, the minimal reduct). In past decades, direct calculations (i.e., greedy search) were used to search for the best solutions, but this technique consumes considerable time and resources and easily falls into a local optimal (Jensen and Mac Parthaláin 2015; Lin etal. 2019; Chang and Hsu 2019). Recently, many scholars have proposed adapting the concept of swarm intelligence, which is based on observations of the behavior of natural creatures, and the ant colony optimization (ACO) algorithm, as it can best highlight its characteristics (Paul and Das 2015; Shunmugapriya and Kanmani 2017). The ACO approach simulates ants’ pheromone
Page 4 of 27 Huetal. Financ Innov (2021) 7:10 scattering on search paths while they forage for food; they search for the best path through the continuous accumulation of pheromones and then seek the best solution through iteration. Compared to a genetic algorithm (GA) or greedy search, ACO, with its greater flexibility and superior performance (Jensen and Shen 2005), has been successfully applied to a large number of different combinational problems, such as warehouse management (Arnaout etal. 2020), product usability (Midhunchakkaravarthy and SelvaBrunda 2020), ecological emission (Raviprabakaran and Subramanian 2018), and energy management (Sutar etal. 2020). Additionally, combining multiple system outcomes and translating them into one conclusive result can lead to outstanding performance. The fundamental idea is to complement any error(s) made by a singular system. Therefore, the joint utilization of ACO and FRST (ACO-FRST) complements their respective advantages—identifying the most essential features for users to gain more insights plus reducing computational cost—and minimize disadvantages—determining the optimal reduct is time-consuming—echoing the “integrated systems” trend (Jensen and Shen 2005; Wang etal. 2007). After performing ACO-FRST to explore the data, the selected criteria/dimensions are then fed into DEMATEL to reveal the interrelated and intertwined relations among evaluation criteria. Apart from prior statistical approaches, this method further considers the dependency and feedback relations among criteria (Ou Yang etal. 2013; Hu etal. 2017; Liu etal. 2018), allowing users to realize the influential directions and weights of the adopted criteria when forming a final decision. Abdullah and Zulkifli (2019) and Lin etal. (2020a, b) performed DEMATEL to illustrate relationships among the assessment criteria and filter out irrelevant and less essential attributes to prevent information overload. Asgaria and Abbasi (2015) also stated that the solution for a pairwise comparison in DEMATEL is very complicated for reaching a stable result if the dataset is too large. Özkan and İnal (2014) and Mohaghari etal. (2014) also indicated that it is hard to find an optimal solution when too many criteria/dimensions are considered simultaneously. The purpose of this research is to provide a new approach to allow companies to manage their subsidiaries to maintain consistent internal control and align strategic goals using integrated analysis of management factors and recognizing unique risks faced by subsidiaries in ever-changing environments. We first link FST and RST for decision-makers to handle data with mixed types (i.e., crisp data and real-valued data) to reveal more intrinsic information for internal auditors. Next, the key factors screened by FRST are then fed into DEMATEL to depict the interrelated and intertwined relations among adopted criteria and to further examine their impact on the final decision. Next, we adopt interactive influential network relationship map (IINRM) derived from DEMATEL to realize which part of subsidiary supervision and management should be modified first to produce the most effective response. The results may help managers formulate firm policies to reach the company’s goals for sustainable development. The remainder of this article is organized as follows. Section 2 describes the dimensions and criteria of supervision and management for subsidiaries in the existing literature. Section3 describes the introduced hybrid model, while Sect.4
Page 5 of 27 Huetal. Financ Innov (2021) 7:10 analyzes the empirical results. Section5 presents the discussion and practical application. Section6 concludes. Supervision andmanagement matrix When the scale of subsidiaries continues to expand, regulatory issues between parent and subsidiary companies are gradually highlighted. Parent company supervision is crucial to the healthy development of subsidiaries, but in the current economic situation following the first several months of the COVID-19 pandemic, the effectiveness of subsidiary control does not meet expectations. As an independent and objective supervision, evaluation, and consulting activity, an internal audit can effectively supervise subsidiary production and operation, risk management, and governance structure, thereby improving subsidiary operating environments, promoting improvements in the corporate governance of parent-subsidiary companies, increasing corporate value, and achieving strategic objectives. Therefore, to help internal auditors clarify the key factors of subsidiary supervision and management based on the relevant literature (Ackermann and Fourie 2013; Ke 2018; Kostova etal. 2015; Markus and Martin 2019; Situmoranga and Japutra 2019; Zhao etal. 2013) and interviews with domain experts, the evaluation framework has been determined to include six dimensions: organizational control structure, business strategy management, construction of a management system, major financial management, business and financial information system management, and integrated audit management and its related sub-factors. The six dimensions and 31 criteria are identified in the second stage, as shown in Table1. Organizational control structure The organizational structure, a product of economic constraints imposed by environmental factors, is a system that clearly defines the division of labor and the rights and responsibilities in an organization; it affects corporate performance and financial decision-making (Child 1972; Lai and Limpaphayom 2010). Organizational structure is necessary to set up internal institutions properly, divide responsibility and authority scientifically, and promote business strategy implementation through cross-functional collaboration to ensure an enterprise operates smoothly in dynamic environments. Ke (2018) pointed out that the reasonable allocation of directors and supervisors of subsidiaries is a key means of strengthening subsidiary control. A board of directors can conduct operational control, strategic guidance, and business coordination through the management process (White 1979). When a parent company assigns board members and auditors to subsidiaries, subsidiary business strategy and business decisions can better cater to the parent’s interests, resulting in a more significant supervision effect (Cai etal. 2018). When the enterprise expands further, subsidiary corporations should reposition and redesign their management functions, stipulate the authority and responsibility of each department, and ensure coordination with the parent’s functional departments, thus improving the efficiency of subsidiary supervision (Boussebaa 2015).
Page 6 of 27 Huetal. Financ Innov (2021) 7:10 Business strategy management Business strategy management provides long-term planning for overall enterprise development issues (such as production and operations management, marketing management, financial decision-making, risk management). A business strategy is influenced by the business’s complexity and the external environment’s uncertainty, but it also determines the company’s product structure and competitive market, technology, and organizational structures (Lim etal. 2018). On one hand, to achieve the synergy of strategy and operations in a parent-subsidiary company, the parent company imposes its overall strategic objectives into each subsidiary, then forms the subsidiary’s business objectives and plans, conducting scientific assessments of each subsidiary’s accomplishment of its annual business plan, thus strengthening management’s control over subsidiaries (Matolcsy and Wakefield 2017). On the other hand, the parent company needs to Table 1 Criteria of supervision and management of subsidiaries for the pre-test questionnaire Dimensions Criteria A: Organizational control structure (a1) Directors and supervisors of subsidiaries (a2) Department division of responsibilities in subsidiaries (a3) Establishment of internal audit department (a4) Managers of subsidiaries B: Business strategy management (b1) Management of subsidiary operating efficiency (b2) Implementation of the subsidiaries’ annual business plan (b3) Risk management of subsidiaries (b4) Strategic management of subsidiary development C: Construction of a management system (c1) Management of budget and final accounts (c2) Payment management (c3) Purchasing and supply management (c4) Production and inventory management (c5) Supplier management (c6) Information disclosure management D: Major financial management (d1) Operations management (d2) Investment management (d3) Capital Management (d4) Financing management (d5) Fixed assets management E: Business and financial information system management (e1) Financial and business communication system (e2) Provision of management reports (e3) Management security of information system (e4) Financial information system F: Integrated audit management (f1) Construction of internal control system in subsidiaries (f2) Implementation of annual internal audit plan (f3) Project audits of subsidiaries (f4) Rectification of internal audit issues (f5) Construction of internal audit teams in subsidiaries (f6) Perform internal audit of subsidiaries regularly or irregularly (f7) Internal audit quality control (f8) Competence of internal auditors in subsidiaries
Page 7 of 27 Huetal. Financ Innov (2021) 7:10 regularly evaluate the subsidiary’s operations, first pre-setting the subsidiary’s operating efficiency indicators (such as sales, profits, inventory), and then using the subsidiary’s financial reports to evaluate its annual operating benefits. Accordingly, the parent assesses the performance of the subsidiary directors and senior executives to achieve effective supervision of subsidiary businesses and finances. Construction ofamanagement system A management control system is the institutional arrangement for the daily business activities of enterprises, and it plays an important role in the management of the business by guaranteeing the execution of corporate strategies (Matolcsy and Wakefield 2017). In the process of supervising subsidiaries, the institutional system and operational mechanisms established by the parent company regulate various aspects of the subsidiary’s daily operations. Management of the budget and final accounts is an important means of planning and control in enterprise management (Dunk 2001; Defranco and Schmidgall 2017; Djebali and Zaghdoudi 2020) to provide a basis for the parent company to supervise its subsidiaries and conduct business planning and performance evaluations (Markus and Martin 2019). Also, Sonia etal. (2014) found that working capital management (such as cash management, accounts payable management, accounts receivable management) has a positive impact on corporate financial performance, and payment management plays a significant role in adjusting corporate cash flow and improving the benefits of working capital management. Otherwise, a scientific procurement management system will significantly improve the efficiency and effectiveness of enterprise operations (Weele and Raaij 2014). If the parent company continues to expand, establishing an effective procurement management system will help achieve cost savings and resource optimization, and enhance subsidiaries’ continued competitiveness (Johnsen 2018). Major financial management As the number of subsidiaries continues to increase, the parent company faces a more complex and more volatile environment, and the challenges of corporate strategic management, organizational operations, and capital management follow (Gibbons et al. 2011; Schotten and Morais 2019). Operations management is a key factor in an enterprise’s survival (Rahiminezhad Galankashi et al. 2020). By transforming enterprise investment into output, operations management can gain a competitive advantage in the market and help enterprises realize value-added (Bromiley and Rau 2015). Cheng etal. (2013) point out that the quality (return on assets) and efficiency (capital recovery period) of an investment directly affect corporate financial performance, because the risk in enterprise investment is not easy to control in such a complex procedure. Therefore, the parent company needs to pay attention to the investment behavior of its subsidiaries to avoid their deviation from the parent company’s overall goal, thus affecting the company’s financial indicators and business performance (Chang and Taylor 1999). Capital management is considered an important contributor to the creation of corporate value (Mortensen 2014). Some studies have also found that the parent company can improve overall profitability through effective subsidiary working capital management (Büyüközkan and Güler 2020; Yue 2019).
Page 8 of 27 Huetal. Financ Innov (2021) 7:10 Business andfinancial information system management In view of the role of information production, delivery systems, and communication coordination mechanisms in supervision and management, how the financial department uses the information system to realize business coordination and financial integration between the parent company and its subsidiary is a key supervision issue. Consistency between the enterprise information system and business strategy has a certain effect on the achievement of organizational goals. Sharing and integrating financial and business data facilitates the communication channels between parent companies and subsidiaries (Rao 2012). Internal information systems can provide accurate and timely business and financial information for senior management, and enhance corporate decision-making ability and efficiency (Hsu 2019). However, strengthening system organizational management control and maintenance can reduce and eliminate the impact of human control and ensure effective implementation of subsidiary internal control (Kostova etal. 2015). Auditors can also use computer-aided audit technology to improve audit efficiency, discover subsidiary operating problems in a timely way, and achieve effective supervision (Fan 2020). In addition, the parent company can establish an internal management reporting system to comprehensively supervise the financial status, capital use, and business operations of subsidiaries, enhancing the timeliness and pertinence of internal management (Zhai etal. 2020). Integrated audit management Internal audit can promote consistent strategic objectives and management systems in parent-subsidiary organizations, improve business performance, and ensure internal control compliance (Ackermann and Fourie 2013; Chang etal. 2018). An effective internal control system can properly regulate the company’s various operations and contribute greatly to its sustainable and stable operation (Aziz etal. 2017). The parent company may release subsidiary annual internal audit plans according to each subsidiary’s business characteristics and business scale and assign auditors to supervise the plan’s implementation (Elbardan etal. 2016). The parent company should regularly review subsidiary financial reports to evaluate their performance and strengthen supervision of the auditing process. Auditors in the parent company should conduct special audits on major business projects and investment activities of subsidiaries to evaluate the feasibility and benefits of investment projects (Weng and Cheng 2019). The internal audit department should classify the operational problems found in each audit, using the parent-subsidiary information exchange and feedback mechanism, reasonably determine the risk level, formulate detailed rectification plans, and track rectification to ensure the effectiveness of the internal audit (Ke etal. 2008). An innovative hybrid architecture As of 2020, AI has demonstrated its usefulness in the modelling of linear and non-linear interpretations of a given dataset for over two decades and has shown incredible potential for learning the non-linear relationships among criteria by analyzing historical messages from experimental datasets (Okafor etal. 2020). Hybrid/integrated systems that focus on combining several different models’ outputs and translating them into a synthesized result are efficient at improving the predictive performance of a single system.
Page 15 of 27 Huetal. Financ Innov (2021) 7:10 Fig. 3 The results of comparisons
Page 16 of 27 Huetal. Financ Innov (2021) 7:10 measure (i.e., accuracy), this study further takes the other two measures (precision and recall) into consideration so as to reach a reliable outcome. Table2 displays the results. We can see that FRST performs better than the other two models under all assessment measures. A description of each criterion derived from FRST is represented in Tables3 and 4. In the third stage, the formal questionnaire was constructed according to Table4 and the results of the expert knowledge and was administered. A total of 20 interviews were conducted with chief audit executives or heads of internal audit from China’s listed companies in Guangzhou, Shenzhen, and Shanghai. Each questionnaire was conducted through face-to-face survey interviews of more than 1.5h between January 2019 and May 2019. The respondents were requested to make pair-comparison judgements of 16 criteria and the satisfaction of criteria at this stage. The estimation of the impact of a pair-comparison was based on scoring using a five-point scale (0 = absolutely no influence and 4 = very high influence) based on the opinions/perceptions gathered from the domain experts. To determine the reliability of the sample collection, a random selection of 19 questionnaires was used to capture the consensus level with an average gap ratio of 1.01% < 5% (i.e., more than 95% confidence), indicating consensus (see Note in Table5). Additionally, the performance questionnaire invited respondents to rate from 0 = extreme dissatisfaction to 10 = extreme satisfaction. Consequently, 20 completed expert forecasting questionnaires serve as the basis for the empirical analysis of the methodology described in this study. Table 2 The compared results * , **, ***p < 0.1, 0.05, 0.001, respectively The number ofclusters: K = 3 (rank) Accuracy Precision Recall FRST 85.00 (1) 86.67 (1) 83.86 (1) RST 70.56 (3) 72.22 (3) 69.72 (3) HFW 74.12 (2) 82.22 (2) 68.56 (2) p‑value 0.022** 0.042** 0.022** Table 3 The selected criteria byACO-FRST Status Selected criteria Forecasting accuracy Rule coverage AFARC K = 2 a2, a3, b1, b3, b4, c1, c4, c5, d1, d4, e3, e4, f1, f3, f5, f8 0.82 0.85 1.67 K = 3 a1, a2, b1, b2, c1, c2, c3, d1, d2, d3, e1, e2, f1, f2, f3, f4 0.85 0.87 1.72 K = 4 a1, a3, a4, b1, b3, c1, c3, c4, c5, d1, d3, d4, e1, e2, e3, f1, f2, f3,f6 0.78 0.82 1.6 K = 5 a1, b3, b4, c1, c3, c4, d1, d2, d5, e3, f1, f5, f8 0.74 0.74 1.48 K = 6 a2, b1, b2, c1, c4, c6, d1, d4, d5, e1, e2, f1, f3, f4, f8 0.71 0.69 1.4 K = 7 a1, b2, b4, c1, c3, c6, d3, d5, e1, e3, f2, f4, f7, f8 0.68 0.67 1.35 K = 8 a2, b1, b4, c3, c5, c6, d2, d4, e3, e4, f1, f4, f7 0.64 0.62 1.26 K = 9 a1, b2, c2, c3, c6, d1, d3, e4, f2, f6, f8 0.62 0.61 1.23 K = 10 a1, b1, b3, c1, c6, d2, d4, d5, e4, f1, f7, f8 0.53 0.58 1.11
Page 17 of 27 Huetal. Financ Innov (2021) 7:10 Table 4 Supervision and management of subsidiaries factor (criterion) assessment architecture Dimensions Criteria Descriptions Sources A Directors and supervisors of subsidiaries ( a1 )The power of the parent com‑ pany to appoint and remove directors and supervisors of the subsidiaries Situmoranga and Japutra (2019), Cai et al. (2018) Department division of responsibilities in subsidiar‑ ies ( a2 ) Clarity of the division of authority and responsibility between departments in subsidiary companies Boussebaa (2015) B Management of subsidiary operating efficiency ( b1 )The extent to which subsidiar‑ ies completes the expected performance indicators (e.g. sales, profits, inventory, etc.) of the parent company Zhai et al. (2020) Implementation of the subsidi‑ aries’ annual business plan ( b2 ) Subsidiaries complete the business objectives and business plans issued by the parent company during each year Matolcsy and Wakefield (2017) C Management of budget and final accounts ( c1 )Annual budget and final accounts management issued by the parent com‑ pany to subsidiaries Dunk 2001, Defranco and Schmidgall (2017) Payment management ( c2 ) Management of accounts receivable, payable, etc Sonia et al. (2014) Purchasing and supply man‑ agement ( c3 )Management of the organiza‑ tion, implementation and control of the procurement process of subsidiaries Weele and Raaij (2014), Johnsen (2018) D Operations management ( d1 ) To plan, organize, implement and control the business process of the enterprise, the essence of which is to manage financial account‑ ing, technology, production and operation, marketing and human resources man‑ agement in an integrated manner Bromiley and Rau (2015) Investment management ( d2 ) Parent company’s manage‑ ment of the quality (return on assets) and efficiency (payback period) in subsidi‑ aries’ investments Hsu and Liu (2018) Capital Management ( d3 ) Capital management mainly includes centralized man‑ agement of fund budget, cash, settlement and financing Mortensen (2014)
Page 18 of 27 Huetal. Financ Innov (2021) 7:10 * A represents organizational control structure; B represents business strategy management; C represents construction of a management system; D represents major financial management; E represents business and financial information system management; and F represents integrated audit management Table 4 (continued) Dimensions Criteria Descriptions Sources E Financial and business com‑ munication system ( e1 )Based on the communication of business and finan‑ cial information, parent company adopts control means to accurately grasp the actual operating condi‑ tions of subsidiaries and push subsidiaries to achieve organizational goals Poston and Grabski (2015) Provision of management reports ( e2 )Subsidiaries provides the parent company with vari‑ ous internal management reports(including fund analysis reports, operating financial activities reports, asset use reports, investment benefit analysis reports, internal audit reports, etc..) Chang and Taylor (1999) FConstruction of internal con‑ trol system in subsidiaries ( f1 )Risk management control, operational level control, major investment project control, internal audit system, reporting and disclo‑ sure control, financial state‑ ment management, etc. Aziz et al. (2017) Implementation of the annual internal audit plan ( f2 )The parent company issues the subsidiaries’ internal audit plan each year according to the operating characteristics and business scale of each subsidiary, and assigning the correspond‑ ing auditor to evaluate the implementation of subsidiar‑ ies’ internal audit plan Chen et al. (2015), Hu et al. (2018a, b) Project audits of subsidiar‑ ies ( f3 )Special audit of major business projects and investment activities of subsidiaries to judge the feasibility of investment projects and the efficiency of capital use Weng and Cheng (2019) Rectification of internal audit issues ( f4 )The audit department classifies the operational problems found in each audit, using the information exchange and feedback mechanism in parent‑ subsidiary companies, reasonably determining the risk level, and formulat‑ ing a detailed rectification plan (clear rectification requirements, time limit, responsible person, result), follows up and evaluates the internal rectification situation Ke (2018)
Page 19 of 27 Huetal. Financ Innov (2021) 7:10 Creation ofanIINRM using DEMATEL Table5 shows the results of DEMATEL’s calculations. Of the six dimensions, dimension A (organizational control structure, ri−si=0.240 ) is the most influential factor, which means that dimension A had the strongest impact and its improvement will lead to improvement in other dimensions. Dimension C (construction of a management system, ri−si=0.007 ) and dimension F (integrated audit management, ri−si=−0.209 ) are the least important factors. Organizational control structure (A), business strategy management (B), construction of a management system (C), major financial management (D), and business and financial information system management (E) are positive, which confirms their direct effect on other dimensions. On the other hand, the ri−si value of integrated audit management (F) is negative, which means this dimension is influenced by other dimensions. In the criteria assessment of a subsidiary supervision framework, criterion a1 (directors and supervisors of subsidiaries) has the largest ri−si value ( ri−si=0.088 ) among all the criteria, indicating that this criterion has the largest impact on other criteria. However, with a minimal value of − 0.088, criterion a2 (department division of responsibilities in subsidiaries) is most easily influenced by other criteria. The IINRM in this study was constructed by measuring the degree of interaction between the six dimensions and 16 criteria of a parent-subsidiary supervision Table 5 Sum ofcause ri andeffect si influence amongthecore dimensions andcriteria Average gap ratio = 1 n×(n−1) n i=1 n j=1( z20 ij −z19 ij z20 ij )×100% =1.01% < 5% , n = 16 is number of key factors. This result indicates that significant confidence of consensus is 98.99%, where z19 ij and z 20 ij are the average scores of the domain experts for 19 and 20, respectively. Dimensions/criteria Row sum ( ri ) Column sum ( si ) ri+si ri−si Organizational control structure (A) 0.707 0.467 1.174 0.240 Directors and supervisors of subsidiaries ( a1 ) 0.218 0.130 0.348 0.088 Department division of responsibilities in subsidiaries ( a2 ) 0.101 0.189 0.290 ‑0.088 Business strategy management (B) 0.514 0.494 1.007 0.021 Management of subsidiary operating efficiency ( b1 ) 0.154 0.106 0.260 0.048 Implementation of the subsidiaries’ annual business plan ( b2 ) 0.095 0.143 0.238 ‑0.048 Construction of a management system (C) 0.501 0.494 0.995 0.007 Management of budget and final accounts ( c1 ) 0.170 0.202 0.372 ‑0.032 Payment management ( c2 ) 0.164 0.202 0.366 ‑0.038 Purchasing and supply management ( c3 ) 0.243 0.173 0.416 0.070 Major financial management (D) 0.514 0.473 0.987 0.041 Operations management ( d1 ) 0.228 0.151 0.379 0.077 Investment management ( d2 ) 0.153 0.205 0.358 ‑0.052 Capital Management ( d3 ) 0.178 0.204 0.382 ‑0.026 Business and financial information system management (E) 0.611 0.445 1.056 0.166 Financial and business communication system ( e1 ) 0.171 0.092 0.263 0.079 Provision of management reports ( e2 ) 0.105 0.129 0.234 ‑0.024 Integrated audit management (F) 0.509 0.718 1.227 ‑0.209 Construction of internal control system of subsidiaries ( f1 ) 0.254 0.256 0.510 ‑0.002 Implementation of the annual internal audit plan ( f2 ) 0.233 0.298 0.531 ‑0.065 Project audits of subsidiaries ( f3 ) 0.295 0.225 0.520 0.070 Rectification of Internal audit issues ( f4 ) 0.286 0.289 0.575 ‑0.003
Page 20 of 27 Huetal. Financ Innov (2021) 7:10 framework using the DEMATEL method, as shown in Fig.4. The horizontal axis ri+si and the vertical axis ri−si represent the degree of a relationship between criteria and the degree of causality between variables, respectively. IINRM enables us to clearly recognize the interdependence of various criteria in the parent-subsidiary supervision framework. For example, dimension A (organizational control structure) acknowledges that it has a direct impact on other dimensions, such as dimension E (business and financial information system management) and also has a significant influence on dimension B (business strategy management), dimension C (construction of a management system), dimension D (major financial management), and d1(0.379, 0.077) d3(0.382, -0.026) 0.30 0.35 0.10 0.05 -0.05 -0.10 0 r i -s i r i +s i 0.40 d2(0.358, -0.052) Major financial management (D) e 2 (0.234, -0.024) 0.20 0.25 0.30 0.10 0.05 -0.05 -0.10 0 r i +s i r i -s i e 1 (0.263, 0.079) Business and financial information system management(E) a2(0.290, -0.088) 0.20.3 0.4 0.10 0.05 -0.05 -0.1 0 r i -s i r i +s i a1(0.348, 0.088) Organizational control structure (A) -0.10 0.95 1.00 1.05 1.10 1.201.15 0.05 0.10 0.15 0.20 0.25 0 1.25 -0.05 -0.15 -0.20 -0.25 A (1.174,0.240) B (1.007, 0.021) C (0.995, 0.007) D (0.987, 0.041) E (1.056, 0.166) F (1.227, -0.209) a 1 :Directors and supervisors of subsidiaries a 2 :Department division of responsibilities in subsidiaries b 1 :Management of subsidiary operating efficiency b 2 :Implementation of the subsidiaries'annual business plan c 1 :Management of budget and final accounts c 2 :Payment management c 3 :Purchasing and supply management d 1 :Operations management d 2 :Investment management d 3 :Capital Management e 1 :Financial and business communication system e 2 :Provision of management reports f 1 :Construction of internal control system in subsidiaries f 2 :Implementation of the annual internal audit plan f 3 :Project audits of subsidiaries f 4 : Rectification of internal audit issues r i -s i r i +s i c 1 (0.372, -0.032) c 3 (0.416, 0.070) 0.35 0.40 0.10 0.05 -0.05 -0.10 0 r i -s i r i +s i 0.45 c 2 (0.366, -0.038) Construction of a management system (C) b 1 (0.260, 0.048) 0.20 0.25 0.10 0.05 -0.05 -0.10 0 r i -s i r i +s i 0.30 b 2 (0.238, -0.048) Business strategy management (B) f 1 (0.510, -0.002) f 3 (0.520,0.070) 0.50 0.55 0.10 0.05 -0.05 -0.10 0 r i -s i r i +s i 0.60 f 2 (0.531, -0.065) Integrated audit management (F) f 4 (0.575,-0.003) Fig. 4 The IINRM of influence relationships based on DEMATEL within supervision and management of subsidiaries
Page 21 of 27 Huetal. Financ Innov (2021) 7:10 dimension F (integrated audit management). Dimension F (integrated audit management) was below the horizontal axis, indicating it is the most susceptible to other dimensions. Discussion, implications, andpractical application This study analyzed the causal relationship between the dimensions and criteria in subsidiary supervision and management, based on the experience and knowledge of experts in business circles. The IINRM was then constructed using the DEMATEL method, as shown in Fig.4. According to the results of the influence relationships, the priority of improving each dimension is: dimension A (organizational control structure), dimension E (business and financial information system management), dimension D (major financial management), dimension B (business strategy management), dimension C (construction of a management system), and dimension F (integrated audit management). The results show that dimension A has the most critical and direct influence on the other dimensions. Therefore, dimension A (organizational control structure) should be given priority for improvement in the parent-subsidiary supervision process, as it will significantly impact the effect of supervision. According to “The Company Law of the People’s Republic of China,” subsidiaries are required to set up an organizational structure in accordance with the law to facilitate the parent company’s strategic coordination and management and control. Also, Birkinshaw (2008) finds that interaction between the directors and executives in the parent company and the managers in subsidiaries can promote the realization of organizational goals and the effect of quality supervision. Pudelko and Tenzer (2013) suggest that one of the ways a parent company can realize subsidiary supervision and control is to dispatch personnel to the subsidiaries’ key management positions. A scientific and reasonable organizational structure can guarantee enrichment of the effect of supervision. The parent company, as an investor, actively participates in the strategic decision-making of its subsidiaries by recommending directors and senior executives to the subsidiaries as a means of obtaining various types of information. In addition, criterion a1 (directors and supervisors of subsidiaries), criterion b1 (management of subsidiary operating efficiency), criterion c3 (purchasing and supply management), criterion d1 (operations management), criterion e1 (financial and business communication system), and criterion f3 (project audits of subsidiaries) each had a significant influence on each dimension. These six indicators (factors) are key factors in the supervision system and they significantly impact the effect of supervision in a parentsubsidiary company. Among all the sub-indicators, directors and supervisors of subsidiaries (a1) has the highest influence on the other criteria. The board of directors is the core of corporate governance as well as the main body leading the company’s operations and strategic implementation measures. The governance level of the board of directors directly affects the company’s operating efficiency. The subsidiary’s board of directors is the authority that conducts comprehensive supervision and compliance management on behalf of the parent company (Kiel etal. 2010). Therefore, to strengthen subsidiary management and safeguard the legitimate rights and interests of the parent company as a funder, the parent company should constantly standardize and strengthen management of the duties
Page 22 of 27 Huetal. Financ Innov (2021) 7:10 and procedures of subsidiary directors and supervisors, who are appointed or recommended by the parent, and then improve the parent company’s management system and achieve coordinated development. Cai etal. (2018) found that a parent company’s supervision of the board of directors helps reduce the operating risks of its subsidiaries, and, as the parent company’s governance improves, managers in subsidiaries will more diligently perform their duties of disclosure and reporting. Du etal. (2015) also found that an active board of directors is a control mechanism for managing subsidiaries and a tool for responding to the external environment; the parent company should emphasize the assignment of the board of directors of its subsidiaries when conducting supervision. A financial and business communication system (e1) is also a valuable supervisory indicator. Whether the financial information in parent-subsidiaries is unblocked is related to the operational efficiency of the entire financial control system. An effective financial information control system creates realistic conditions for improving the effectiveness of financial information. The parent company can use the financial information system to understand the business activities of its subsidiaries in a timely manner and to provide timely evaluation and control of the financial and operational risks to improve the efficiency of supervision (Chen etal. 2015). From the nature of a multinational company, the parent company should effectively conduct supervision over subsidiaries’ businesses, commercial channels, and customer resources. A special supervision and guidance department can be established in the parent company to maintain its overall benefits (Wang 2012). Despite the increasingly complex global environment, a close-knit linkage exists between the parent firm and its subsidiaries. The parent company is able to control the board of directors of the subsidiary and has the right to replace its directors and supervisors. Subsidiary firms need to communicate and implement the parent company’s relevant strategies and plans that are given to the subsidiaries. The parent company needs each subsidiary to provide effective feedback on market information, give suitable deployment for the latest development direction, share information, and have some discussion so as to fully grasp the operation status of each subsidiary. Good internal control and corporate governance tend to help form a predominant organization structure (Hsu and Liu 2018). Therefore, the empirical results of this paper provide a practical reference for the formulation of a multinational corporate’s internal supervision strategy, internal control, and internal audit of its subsidiaries. The managerial implications of this proposed hybrid architecture are highlighted as follows. (1) A data exploration technique (i.e., ACO-FRST) is applied to determine the critical features from large datasets that still maintain the predictive capability of the model and to speed up the data processing procedure. In a vague and uncertain information environment, such as cross-border and cross-region supervision and management issues, the model demonstrates better superiority. (2) The selected factors via ACO-FRST are imported into DEMATEL to determine the most influential dimension and criteria. By doing so, the dependency and feedback relationship among key factors for subsidiary supervision and management can be clearly represented to respond to an ever-changing dynamic environment, especially in the context of today’s dramatic economic downturns.
Page 23 of 27 Huetal. Financ Innov (2021) 7:10 Conclusion andfuture research This research contributes to the current literature in several ways. First, we propose an innovative hybrid technique to resolve the problem of unifying subsidiary supervision and management, linking FST and RST to provide more intrinsic information for internal audits. Second, we add to the stream of financial research that concentrates on internal control architecture development. Compared to other studies (i.e., information system adoption and financial trouble forecasting), works on the key factor extraction for subsidiary supervision and management are quite scarce. Third, the key factors screened by FRST are then fed into DEMATEL to depict the interrelated and intertwined relations among adopted criteria and to further examine their impact on the final decision. Fourth, we adopt interactive influential network relationship map (IINRM) derived from DEMATEL to realize which part of subsidiary supervision and management has to be modified first to receive the most effective response. Managers can thus consider the potential implications of this study to formulate future firm policy to reach the goal of sustainable development. We propose an innovative hybrid technique for resolving the problem of unifying subsidiary supervision and management. ACO-FRST and DEMATEL have been chosen herein to explore the pattern and critical factors for subsidiary supervision and management. Based on the outcome derived from DEMATEL, the IINRM can be reached. IINRM determines the directions and ways that the indicators interact amongst themselves, which can help managers understand the underlying issues of subsidiary supervision and develop appropriate improvement strategies. Regarding business dimensions, the findings are based on expert knowledge, and the priorities for improvement include organizational control structure, business and financial information system management, major financial management, business strategy management, construction of a management system, and integrated audit management. Among all the criteria, “directors and supervisors of subsidiaries” represent the core of corporate governance and internal control for multinational corporations as well as the principal body for capturing a company’s operations and strategic implementation policies. Although we successfully constructed a practical evaluation model for a transnational corporation, some other interesting views are worth examining for future work. The assessment architecture proposed herein is based on general guidelines, and other special circumstances can be considered, such as the impact of the recent COVID-19 pandemic or advanced quality of service mechanism on the supervision of subsidiaries. The adoption of more samples or other bio-inspired meta-heuristic algorithms, such as discrete antlion optimization approach (Barma etal. 2019), will improve the reliability and robustness of empirical results. Other multi-criteria group decision making approaches, such as Pythagorean m-polar fuzzy soft sets (Riaz and Tehrim 2020a, b, c), may have greater flexibility to handle data with imprecise messages and identify specific directions for subsidiary supervision and management. Other multi-criteria group decision making (GDM) approaches, such as Pythagorean m-polar fuzzy soft sets (Riaz and Tehrim 2020a, b, c), the nearest consistent metrics (NCM)-based GDM (Lin etal. 2020a), the soft consensus-based GDM (Zhang etal. 2019), minimum adjustment-based GDM (Zhang etal. 2020), non-cooperative-based
Page 24 of 27 Huetal. Financ Innov (2021) 7:10 GDM (Chao etal. 2021) and more sophisticated algorithms for individual judgments aggregation (Kou etal. 2014; Lin etal. 2020b), may have greater flexibility to handle data with imprecise messages and also identify specific directions for subsidiary supervision and management. Funding The authors would like to thank the Ministry of Science and Technology, Taiwan, for financially supporting this work under contracts Nos. 108‑2410‑H‑034‑050‑MY2 and 108‑2410‑H‑034‑056‑MY2. Availability of data and materials The datasets used during the current study are available from the corresponding author on reasonable request. Author details 1 School of Accounting, Finance and Accounting Research Center, Nanfang College of Sun Yat‑Sen University, Guang‑ zhou, China. 2 English Program of Global Business, Chinese Culture University, Taipei, Taiwan. 3 Department and Graduate School of Accounting, Chinese Culture University, Taipei, Taiwan. 4 School of Accounting, Nanfang College of Sun Yat‑Sen University, Guangzhou, China. Received: 21 May 2020 Accepted: 11 December 2020 References Abdullah L, Zulkifli N (2019) A new DEMATEL method based on interval type‑2 fuzzy sets for developing causal relation‑ ship of knowledge management criteria. Neural Comput Appl 31(8):4095–4111 Ackermann C, Fourie H (2013) The impact of COSO control components on internal control effectiveness: An internal audit perspective. J Econ Finance Sci 6(2):495–518 Alharbi J, Gelaidan H, Al‑Swidi A (2016) Control mechanisms employed between headquarters and subsidiaries in Multi‑ national Enterprises (MNEs). Rev Int Bus Strategy 26(4):493–516 Arnaout J, ElKhoury C, Karayaz G (2020) Solving the multiple level warehouse layout problem using ant colony optimiza‑ tion. Oper Res Int J 20:473–490 Arthur KNA (2017) Financial innovation and its governance: cases of two major innovations in the financial sector. Financ Innov 3:10 Asgari MS, Abbasi A (2015) Comparing MADM and artificial neural network methods for evaluating suppliers in multiple sourcing decision. Decis Sci Lett 4(2):193–202 Aziz M, Said J, Alam MM (2017) Assessment of the practices of internal control system in the public sectors of MALAYSIA. Asia Pac Manag Account J 10:44–62 Barma PS, Dutta J, Mukherjee A (2019) A 2‑opt guided discrete antlion optimization algorithm for multi‑depot vehicle routing problem. Decis Mak Appl Manag Eng 2:112–125 Birkinshaw BJ (2008) Weight versus voice: how foreign subsidiaries gain attention from corporate headquarters. Acad Manag J 51(3):577–601 Botez D (2012) Internal audit and management entity. Procedia Econ Financ 3(6):1156–1160 Boussebaa M (2015) Control in the multinational enterprise: the polycentric case of global professional service firms. J World Bus 50(4):696–703 Bromiley P, Rau D (2015) Operations management and the resource based view: another view. J Oper Manag 41:95–106 Büyüközkan G, Güler M (2020) Analysis of companies’ digital maturity by hesitant fuzzy linguistic MCDM methods. J Intell Fuzzy Syst 38:1119–1132 Cahill E (2006) Audit committee and internal audit effectiveness in a multinational bank subsidiary: a case study. J Bank Reg 7:160–179 Cai G, Xie S, Xu Y, Zeng Y, Zhang J (2018) Ultimate parent’s board reform and controlling shareholder entrenchment: evidence from a quasi‑natural experiment in China. Emerg Mark Rev 38:389–403 Cao J, Zhang X, Zhang C, Feng J (2020) Improved convolutional neural network combined with rough set theory for data aggregation algorithm. J Ambient Intell Hum Comput 11:647–654 Chang TM, Hsu MF (2019) Integration of incremental filter‑wrapper selection strategy with artificial intelligence for enter‑ prise risk management. Int J Mach Learn Cybern 9:477–489 Chang E, Taylor MS (1999) Control in multinational corporations (MNCS): the case of Korean manufacturing subsidiaries. J Manag 25(4):541–565 Chang YT, Chen H, Cheng RK, Chi W (2018) The impact of internal audit attributes on the effectiveness of internal control over operations and compliance. J Contemp Account Econ 15(1):1–19 Chao X, Kou G, Peng Y, Viedma EH (2021) Large‑scale group decision‑making with non‑cooperative behaviors and het‑ erogeneous preferences: an application in financial inclusion. Eur J Oper Res 288(1):271–293 Chen FH, Tzeng GH, Chang CC (2015) Evaluating the enhancement of corporate social responsibility websites quality based on a new hybrid MADM model. Int J Inf Technol Decis Mak 14(3):697–724 Chen CY, Tzeng GH, Huang JJ (2018) Generalized DEMATEL technique with centrality measurements. Technol Econ Dev Econ 24(2):600–614 Cheng M, Dhaliwal D, Zhang Y (2013) Does investment efficiency improve after the disclosure of material weaknesses in internal control over financial reporting? J Account Econ 56(1):1–18