# Introduction ue to the current spread of the Coronavirus, economic activity around the world is significantly affected. According to Michel et al. (2020), it seems almost inevitable that the German economy will plunge into recession. However, the possible course and severity of the effects are unclear. The fact is that the uncertainty is reflected not least in the financial markets. Since the beginning of the pandemic, strong price losses and simultaneous implicit volatility have been recorded. The latter is often interpreted in the research literature to measure economic uncertainty (Michelsen et al., 2020). Some banks that were already on shaky ground before the crisis may not survive the pandemic. The cost-income ratio, an important indicator of the efficiency of institutions, has deteriorated almost continuously over the past 15 years. This is not only due to declining earnings, but also to rising operating costs. In addition, digitalization is putting the business models of traditional banks to the test. According to Röseler, the Executive Director of Banking Supervision, German banks must cut their costs much more rigorously if they want to be competitive in the long run. The pandemic acts as an accelerator here (press release Federal Financial Supervisory Authority, 2021). The German banking system traditionally consists of three pillars, private sector banks, savings banks and cooperative banks (see Figure 1). This structure makes the German banking system unique, only the Austrian banking system has a similar structure in Europe (Behr & Schmidt, 2015;Frank et al., 2014;Komorowski, 2020). The focus of this research paper is on the German savings banks (Pillar 02). Changing customer expectations, new competitors and a strong big technological change are influencing the banking market in Germany. We live in a working and living environment characterized by automation and digitalization. As a technical revolution, this also encompasses many areas of the savings banks. Digitalization is a priority in order to be able to ensure that we can catch up in terms of "digital skills" and not miss the boat. To realize their ambitions, savings banks are therefore well advised to create the necessary internal conditions for digital transformation. Today's banking services must be benevolently examined for feasibility, then embedded in processes and suitable technical architectures. A higher level of automation can reduce costs and open up further data sources (Damaschke & Giebe, 2020). # II. # Literature Review An exploratory literature search was conducted to find sources on the impact of digitalization on savings banks in Germany. The studies on savings banks in the age of digitalization are rudimentary. The results of the literature search can be divided into four headings. The first heading contains the necessary data needed to study savings banks. These are data sets such as the number of savings banks, the number of branches, the number of employees as well as business management KPI's. The # III. # Research Gap and Research Question In their 2007 paper "The Impact of Bank Mergers on Efficiency: Empirical Evidence from the German Banking Industry", Georgiev & Burghof examine the impact of mergers on business efficiency (Georgiev & Burghof, 2007). This does imply the use of similar metrics as in this research. However, it can be noted that the research question is different from the focus on mergers. Furthermore, it can be noted that the working paper uses the time series 1991 -2004, which allows for a research gap in terms of timeliness. Based on the described research gap, the authors formulate the following research question: Are the cost-cutting activities such as branch closures and staff reductions due to the rapid impact of digitalization of savings banks in Germany economically justified about the present operating result, cost-income ratio and return on equity? IV. # Hypotheses and Methodology To answer the research question quantitatively, the following data on Statista (https://de.statista.com/) was used for our research and was narrowed down to the common period 1999-2018. In addition to the number of individual savings banks, branches and employees, real KPIs were used in this research. Specifically, we looked at operating profit, cost-income ratio and return on equity. The operating result usually describes the result from ordinary business activities. The cost-income ratio describes the cost-income ratio in the operational business of the savings banks and provides information on efficiency. The lower the costincome ratio, the more efficiently the savings banks operate. The return on equity describes the result (net income after taxes) about the equity capital employed. The software R was used to evaluate the data. The vizualisations were generated in Python. # ? Number of savings banks in Germany The following hypotheses were made: 1st hypothesis: H 1 : The operating profit of savings banks in Germany has changed statistically significantly in the years 1999-2018 due to digitalization. # Descriptive analyses The number of institutes has decreased by about 34% over the entire period under consideration, from 587 in 1999 to 386 in 2018 (see Figure 2). The monotonic decrease is significant with a rank correlation coefficient of -1 and unbroken up to and including 2018. This reflects a long-lasting phase of consolidation. The consolidation of the savings banks is accompanied by a consolidation of the bank branches (see Figure 3). Over the entire period under review, the branches were reduced to a similar extent as the institutions. With shrinkage of approx. 46%, this development is even more pronounced and affects the institutions that were still active on the market until 2018. The number of employees has developed quite analogously (see Figure 4). Here, too, there is a very clear monotonous decline, which continued at an accelerated pace from 2015 onwards. The first factor PC1 already explains more than 95% of the variance and combines the statistics "number of institutions", "number of branches" and "number of employees". Consequently, we interpret this factor as a global measure of the cost reduction measures. # Inductive analyses Methodology A linear regression model is used to examine the operating ratio, cost-income ratio and return on equity to see whether they changed significantly during the period under review. If this is the case, a second linear regression is used to determine the influence of the cost-cutting measures on these KPIs to determine if a significant influence can be said to exist. The significance level is set to alpha = 0.05. To take the time series character of the data into account, the tests are carried out with a HAC estimator (heteroskedasticity and autocorrelation consistent). The analysis of the residual plots justifies this methodological approach, since heteroskedasticity and autocorrelation of the residuals are present. # Statistical tests The operating result of the savings banks fluctuated strongly between 1999 and 2018. the operating income fall back to the level of the year 2000. However, the operating result grew with a clear upward trend until 2018 (see Figure 5). To distort the results of this analysis by an outlier, the operating result from 2011 was excluded from the analysis of the significance of this trend. The influence of the cost reduction measures on this increase is later analyzed. When looking at the residual plot, the autocorrelation of the residuals in the form of a periodic curve is striking (see Figure 6). The HAC estimator takes this anomaly into account. The residual plot shows an autocorrelation of the residuals and also a weak form of heteroskedasticity (see Figure 8). The heteroskedasticity shows up as an increasing dispersion of the residuals, which leads to a funnel-shaped residual distribution. This anomaly is also taken into account by the HAC estimator. The cost-income ratio also fluctuated strongly throughout the entire period under review (see Figure 9). A clear trend, whether positive or negative, is not discernible. Here, The year 2008 is not considered an outlier in this time series, since it appears inconspicuous. Instead, a sharp drop in the cost-income ratio occurred with a time lag of two years in 2010, where it fell to the lowest level in the period under review. The cost-income ratio did not change significantly during the period under review. The p-value 0.5085 is greater than alpha = 0.05. Consequently, no further analysis is carried out for this KPI either. The residual plot reveals the autocorrelation of the residuals and again confirms the use of the HAC estimator (see Figure 10). The cost reduction measures had a significant impact on the operating profit. The p-value of 0.006756 is less than 0.05. V. # Discussion of The Results To survive, savings banks are increasingly turning to mergers, staff cuts and branch closures to reduce costs. The President of the Federal Association of German Banks, Hans-Walter Peters, expects that up to a quarter of the branches of all banks and savings banks in Germany will be closed in the next few years (Peters, 2018). As has been pointed out, savings banks have significantly reduced the number of institutions, branches and employees. There are various reasons for this, e.g. a historically unprecedented environment of lowest and negative interest rates in the euro area and Germany (Wolgast, 2016). Based on the available key figures, the reduction of savings banks, branches and employees can be described as a rapid impact due to digitalization. It was found during the research that only the operating profit changed significantly in the years 1999-2018. For this KPI, a relationship can be established with the cost reduction measures that have taken place due to increasing digitalization. The KPIs cost-income ratio and return on equity, on the other hand, did not change significantly during the period under review. The following research question had to be answered: Are the # Global Journal of Management and Business Research Volume XXI Issue IV Version I Year 2021 ( ) # B Digitalization and its Rapid Impact on Savings Banks in Germany cost-cutting measures through branch closures and staff reductions due to the rapid impact of digitalization at savings banks in Germany economically justified about the present operating result, the cost-income ratio and the return on equity? Since two (cost-income ratio and return on equity) of the three ratios to be examined do not show any significant change, it can be stated that the cost-cutting measures are not economically justified. The role of the branches is under discussion from an omnichannel perspective. Branch closures are without alternatives due to the ever-increasing cost pressure (Waschbusch et al., 2016). Banks and savings banks are also lagging behind other sectors in this context. Omni-channel management in German bank distribution will change significantly and is without alternative (Menrad, 2020). In recent years, it has become clear that banks in Germany lack a concrete strategy. It would be desirable to find strategies that do not exclusively focus on cost reductions, e.g. through branch closures (Henke et al., 2016). However, the digital strategy of a savings bank only has added value if it promotes investments and bundles resources at the same time. The top management of many companies is hesitant to define a digital strategy. The best digital strategies guide both strategic and operational decisions (Sebastian et al., 2017). # VI. # Conclusions Many banks and savings banks in Germany could miss the boat in the age of digital transformation. On the one hand, external influences such as customer behaviour, customer expectations, technological change, willingness to pay and product life cycles are gaining importance. On the other hand, the internal expectations of employees, e.g. the acceptance of new technological solutions and processes, are rather sluggish. According to a study by the consulting firm McKinsey, traditional banks and savings banks could lose a third of their turnover through competition with FinTech companies (Drummer et al., 2016). For other reasons, too, there is a need for action. The banking industry is facing an environment in which rapid environmental changes are linked to strict IT governance requirements. Banks have to face everstricter regulatory and more complex requirements to be able to limit business risks. To achieve this, robust governance and complex IT infrastructures must also be ensured (Gregory et al., 2018). Unfortunately, German banks are increasingly neglecting proactive action and serving customer interests. The danger is that banks may no longer be optimally positioned for the future. The more entrenched a banks structures and organiszation are, the more passive it is. The focus will increasingly be on improving profitability alone (Fischer & Arz, 2016). The banking sector would benefit from the development of different competencies. Commercial banks need to develop their own competencies for each activity in the value chain. This is the only way to make the most of the various technological innovations (Mavlutova & Volkova, 2019). Examples of opportunities and competencies in the age of digitalization for German savings banks are Big Data & Analytics for forecasting closing probabilities or Virtual Reality Devices for innovative customer advice (Giebe et al., 2019;Hammerström et al., 2019). In summary, it can be stated that digital transformation is a highly complex matter that affects the entire company. The formulation of a digital transformation strategy remains a crucial success factor (Hess et al., 2016). Digitalization is a process that will accompany banks from now on. Digitalization will continue to be a natural part of daily work and organiszation. From the cleaning lady to the CEO, every employee must develop and demonstrate digital skills (Giebe, 2019). # VII. Limitations and Directions for Further Research One of the limitations of this research is the set of key performance indicators (KPIs). Only a selection of KPIs could be used. This could be the starting point for further research that examines other KPIs. Another methodological criticism is the selection of the time series. The time window investigated will be outdated and allows for an analogous investigation in the future. The results of this research may be useful as a benchmark paper in this regard. The COVID-19 pandemic hit Europe at the beginning of 2020, whereas the time series studied ends in 2018. Research regarding the impact of the COVID-19 pandemic can be a value-added endeavour. A study by Conrad et al. showed that inhabitants of sparsely populated rural regions in particular have comparatively poor digital access. It must be questioned to what extent the savings banks succeed in digitally mapping basic financial services promptly and across the board (Conrad et al., 2017). This means that a part of bank customers cannot be reached digitally by savings banks. The authors suggest taking the clientele of savings banks in Germany into account in further studies. Due to the different regional orientation of German savings banks, the age, gender and place of residence of bank customers, for example, lend themselves as study factors. Another aspect for further research could be the influence of the savings bank brand on possible KPIs. If the enthusiasm of employees for the savings banks (aka Sparkassen) brand grows, employee identification and performance will increase. This performance can in turn positively influence KPIs (Zwerenz, 2019). 1![Figure 1: Own representation of the "German Banking System"](image-2.png "Figure 1 :") ![second section deals with the German banking market and the savings banks in Germany. Examples include the authors Behr & Schmidt (2015), Conrad et al. (2017), Damaschke & Giebe (2020) and Fischer & Arz (2016). In essence, a drastically changed situation for the savings banks, a low-interest rate level, changed competition and massive cost-cutting measures could be researched. The third category of literature deals with the digitalization of banks and savings banks. The authors Drummer et al. (2016), Giebe (2019), Henke et al. (2016), Komorowski (2020) and Sebastian et al. (2017) should be mentioned as examples. In the articles of the authors listed, it was possible to research that the digital transformation has also arrived in banks and savings banks. On the other hand, the urgent need for a strategy could be deduced. The fourth and last section of the literature research deals with other topics such as omnichannel management, brand or VR devices. Menrad (2020), Hammerström et al. (2019) and Zwerenz (2019) should be mentioned here as representatives to enable a discussion within the framework of this research.](image-3.png "") ![Number of branches of savings banks in Germany ? Number of employees of savings banks in Germany ? Operating income of savings banks in Germany ? Return on equity after taxes of the savings banks in Germany ? Development of the cost-income ratio of savings banks in Germany](image-4.png "?") 1![The cost-income ratio of savings banks in Germany has changed statistically significantly in the years 1999 -2018 due to digitalization.](image-5.png "1 :") 1![The return on equity of the savings banks in Germany has changed statistically significantly in the years 1999 -2018 due to digitalization. Global Journal of Management and Business Research Volume XXI Issue IV Version I Year 2021 ( ) B Digitalization and its Rapid Impact on Savings Banks in Germany](image-6.png "1 :") 2![Figure 2: Own representation of the "Number of savings banks"](image-7.png "Figure 2 :") 3![Figure 3: Own representation of the "Number of branches"](image-8.png "Figure 3 :") 4![Figure 4: Own representation of the "Number of employees"The similar trends in the number of institutions, branches and employees in the period under review from 1999 to 2018 are reflected in a high correlation between them.](image-9.png "Figure 4 :") ![For example in 2008 -during the global economic crisis -Global Journal of Management and Business Research Volume XXI Issue IV Version I Year 2021 ( ) B Digitalization and its Rapid Impact on Savings Banks in Germany](image-10.png "") 5![Figure 5: Own representation of the "Operating income" On average, the operating result of the entire savings banks finance group grew by approximately 370 million euros per year between 1999 and 2018. The significance of the increase can be seen in the p-value 0.003341 < 0.05 of the explanatory variable Year.](image-11.png "Figure 5 :") 6![Figure 6: Own representation of the "Operating income" (Residual plot)The return on equity also fluctuated strongly during the period under review. It reached a temporary minimum in 2008, then recovered again until 2010 and oscillated until 2018 (see Figure7).](image-12.png "Figure 6 :") 7![Figure 7: Own representation of the "Return on equity" Again, the year 2011 is treated as an outlier and thus removed from the analysis.The return on equity did not change significantly during the period under review, as shown by the p-value 0.07677 > 0.05. Consequently, this KPI is excluded from further analysis.](image-13.png "Figure 7 :B") 8![Figure 8: Own representation of the "Return on equity" (Residual plot)](image-14.png "Figure 8 :") 9![Figure 9: Own representation of the "Cost-income ratio"](image-15.png "Figure 9 :") 10![Figure 10: Own representation of the "Cost-income ratio" (Residual plot) Only the operating result has changed significantly from 1999 to 2018. It is analyzed whether the cost reduction activities are significantly related to the increase in operating profit. The factor cost reduction measures (PC1) from the Principal Component Analysis is used as the explanatory variable.](image-16.png "Figure 10 :") ( ) B © 2021 Global Journals Digitalization and its Rapid Impact on Savings Banks in Germany * Anzahl der Sparkasseninstitute und ihrer inländischen Zweigstellen in den Jahren von Anzahl der Beschäftigten bei Sparkassen in Deutschland in den Jahren von 1991 bis 2018. 1991. 2018. June 2021. 1990 bis 2019 Number of employees at savings banks in Germany between. Number of savings bank institutions and their domestic branches in the years 1990 to 2019 * The German banking system: Characteristics and challenges, SAFE White Paper PBehr RSchmidt 2015 Goethe University Frankfurt * Betriebsergebnis der Sparkassen in Deutschland in den Jahren von Millionen Euro) 1999. 2018. 1999. 2018 Operating profit of savings banks in Germany in the years. in millions of euros) * BaFin sieht keine Systemkrise auf deutsche Banken zukommen, Pressemitteilung vom 18.05.2021. [Federal Financial Supervisory Authority does not see a systemic crisis FinanzdienstleistungsaufsichtBundesanstalt Für 2021 approaching German banks, press release * Shareddocs 2021/pm_210518_jahrespressekonferenz.html;js essionid=D5C8665EB197B496FF0C582B7D8A526 D.1_cid502 [Accessed June 2021 * Physische und digitale Erreichbarkeit von Finanzdienstleistungen der Sparkassen [Physical and digital accessibility of financial services of savings banks AConrad AHoffmann DNeuberger 2017 Rostock Universität Rostock, Institut für Volkswirtschaftslehre ThünenSeries of Applied Economic Theory -Working Paper * Sparkassen-DataAnalytics: Den Datenschatz der Sparkassen-Finanzgruppe heben [Savingbanks-data-analytics: Raising the data treasure of the Savings Bank Finance Group CDamaschke CGiebe Erich R. Utz, Digitalisierung -"the next challenge" fur Sparkassen Handlungsfelder zur kunftigen Gestaltung des Geschaftsmodells in Sparkassen 2020 * GmbhDeutscher Sparkassenverlag Stuttgart * FinTech -Challenges and Opportunities How digitization is transforming the financial sector DDrummer AJerenz PSiebelt MThaten McKinsey & Company 2016. May. June 2021 Accessed * Eigenkapitalrentabilität nach Steuern der Sparkassen in Deutschland in den Jahren von 1994 bis 2018 Return on equity after taxes of savings banks in Germany in the years 1994 to 2018 * /umfrage/eigenkapitalrentabilitaet-der-sparkassenin-deutschland June 2021 * Entwicklung der Cost-Income-Ratio der Sparkassen in Deutschland in den Jahren von 1998 bis 2018 [Development of the cost-income ratio of savings banks in Germany in the years 1998. 2018 * Innovationslust in Banken beurteilen BFischer CArz 2016 Assessing innovative spirit in banks * Bankmagazin 10.1007/s35127-015-0721-2 * Entwicklungen und Perspektiven von Qualifikation und Beschäftigung im Bankensektor [Developments and perspectives of qualification and IFrank MHackel RHelmrich EMKrekel 2014 employment in the banking sector * Wissenschaftliche Diskussionspapiere des Bundesinstituts für Berufsbildung (BiBB) 151 * The Impact of Bank Mergers on Efficiency: Empirical Evidence from the German Banking Industry GKGeorgiev HPBurghof 2007 Working Paper * The Chief Digital Officer-Savior for the Digitalization in German Banks? CGiebe 10.26458/jedep.v8i3.633 Journal of Economic Development, Environment and People 8 3 2019 * Big Data & Analytics as a sustainable Customer Loyalty Instrument in Banking and Finance. Financial Markets CGiebe LHammerström DZwerenz 10.21272/fmir.3(4).74-88.2019 Institutions and Risks 3 4 2019 * IT Consumerization and the Transformation of IT Governance RWGregory EKaganer OHenfridsson TJRuch 10.25300/MISQ/2018/13703 MIS Quarterly 42 4 2018 * Taxonomy of an IIot Device Based upon Production Functions LHammerstöm DZwerenz CGiebe 10.26417/ejes.v5i2.p6-22 European Journal of Economics and Business Studies 5 2 2019 * Die Bank der Zukunft -Strategien für den Erfolg [The bank of the future -strategies for success AHenke MPetry BSpäth Bank und Markt 4 2016 * Options for formulating a digital transformation strategy THess CMatt ABenlian FWiesböck MIS Quarterly Executive 15 2 2016 * Role of digitization for German saving banks PiotrKomorowski Digitalisierung -"the next challenge" fur Sparkassen Handlungsfelder zur kunftigen Gestaltung des Geschaftsmodells in Sparkassen ErichRUtz 2020 * DeutscherSparkassenverlag Stuttgart * Digital Transformation of Financial Sector and Challengies for Competencies Development IMavlutova TVolkova 10.2991/mdsmes-19.2019.31 2019 7th International Conference on Modeling, Development and Strategic Management of Economic System (MDSMES 2019) Atlantis Press 2019 * Systematic review of omnichannel banking and preview of upcoming developments in Germany MMenrad Innovative Marketing 16 2 2020 * 10.21511/im.16(2).2020.09 * Deutsche Wirtschaft: Corona-Virus stürzt deutsche Wirtschaft in eine Rezession [German economy: Corona virus plunges German economy into recession CMichelsen MClemens MHanisch SJunker KKholodilin TSchlaak 10.18723/diw_wb 2020 DIW Wochenbericht 87 * Bankenverband rechnet mit kräftigem Abbau von Filialen H-WPeters 2018 Association of German Banks anticipates significant reduction in the number of branches * Frankfurter Allgemeine June 2021 Accessed * How big old companies navigate digital transformation ISebastian JRoss CBeath MMocker KMoloney NFonstad MIS Quarterly Executive 16 3 2017 * Zukunft der Bankfiliale-Auslaufmodell oder Erlebniswelt [The future of the bank branch GWaschbusch RBlaß SCBerg 2016 * Das gegenwärtige Niedrigzinsumfeld aus Sicht der Sparkassen [The current low interest rate environment from the point of view of savings banks MarktBank Und 10.3790/vjh.85.1.11 Vierteljahrshefte zur Wirtschaftsforschung 2016 5 * Brand Management: Organizational Changes in Project Management DZwerenz 10.21272/mmi.2019.2-22 Marketing and Management of Innovations 19 2 2019