Digital Transition by COVID‐19 Pandemic? The German Food Online Retail

Dannenberg, Peter; Fuchs, Martina; Riedler, Tim; Wiedemann, Cathrin Article — Published Version Digital Transition by COVID‐19 Pandemic? The German Food Online Retail Tijdschrift voor economische en sociale geografie Provided in Cooperation with: John Wiley & Sons Suggested Citation: Dannenberg, Peter; Fuchs, Martina; Riedler, Tim; Wiedemann, Cathrin (2020) : Digital Transition by COVID‐19 Pandemic? The German Food Online Retail, Tijdschrift voor economische en sociale geografie, ISSN 1467-9663, Wiley, Hoboken, NJ, Vol. 111, Iss. 3, pp. 543-560, https://doi.org/10.1111/tesg.12453 This Version is available at: https://hdl.handle.net/10419/230220 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. 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Tijdschrift voor Economische en Sociale Geografie published by John Wiley & Sons Ltd on behalf of Royal Dutch Geographical Society / Koninklijk Nederlands Aardrijkskundig DIGITAL TRANSITION BY COVID-19 PANDEMIC? THE GERMAN FOOD ONLINE RETAIL PETER DANNENBERG*, MARTINA FUCHS**, TIM RIEDLER** & CATHRIN WIEDEMANN* * Global South Studies Center/ Institute of Geography,Albertus-Magnus-Platz, 50923, Cologne, Germany. Email: [email protected] [email protected] ** Department of Econonic and Social Geography,University of Cologne,Albertus-Magnus-Platz, 50923 Cologne, Germany. E-mail: [email protected]; [email protected]; [email protected]. de; [email protected] Received: April 2020; accepted May 2020 ABSTRACT The COVID-19 pandemic has led to a sharp increase in online trade. This article examines the impact of the pandemic on online grocery retail in Germany. Here we follow and refine the multi-level perspective by Geels, and examine to what extent and why the online grocery retail expanded during the pandemic. A particular focus is on the spatial expansion into rural areas. The study shows a general upswing in the grocery trade and disproportionately high growth in online grocery trade and identifies driving and limiting factors. While COVID-19 has opened a window of opportunity, our results indicate little transition of grocery to e-grocery. This finding can be explained by the sudden and temporary constellation at the level of the socio-technical regime during the pandemic. As a result, we argue for a rethinking the temporality of windows of opportunities and the related vulnerability of the innovations which need them. Key words: COVID-19; digitalisation; e-commerce; e-grocery; food retail; Germany INTRODUCTION The coronavirus (COVID-19) pandemic, and the associated preventative measures (such as ‘stay at home’) introduced in Germany in March 2020, caused severe societal and economic restrictions as well as an enormous surge in digitalisation. The required reduction in face-to-face contact tremendously increased the use of digital media in economy and society. This paper focuses on online grocery retail (e-grocery) and its expansion, in economic terms and spatially. Crisis can create and push innovations and their diffusion because of changing socio-political contexts (Archibugi 2017). Indeed, the pandemic has led to a sudden increase of online grocery (Nielsen 2020). This has as-yet unclear implications for the long-term digital transition of food retail (dynamic perspective) and the spatial expansion of e-grocery, which has so far mainly excluded rural areas (geographical perspective). For this purpose of better understanding the dynamic and spatial dimensions, this paper critically adapts Geels’s (2002) multi-level perspective (MLP). Here it follows an economic geography perspective, which discusses Geels’s distinction of levels, namely niches, regimes and landscapes in the context of socio-spatial relationships (Truffer 2008; Hansen & Coenen 2015; Murphy 2015). Regarding the COVID-19 pandemic’s effects on online retail, the paper asks if changes that were rather incremental before, now are becoming ‘thicker and more transformative’ (Murphy et al. 2014, p. 264) but also broader spatially. This paper therefore asks how and why the innovation of online food retail This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. PETER DANNENBERG ET AL.544 © 2020 The Authors. Tijdschrift voor Economische en Sociale Geografie published by John Wiley & Sons Ltd on behalf of Royal Dutch Geographical Society / Koninklijk Nederlands Aardrijkskundig expands during the COVID-19 crisis. Such a view on change contributes to the recent debate on Geels’s (2002, 2012) MLP within the broader context of transition studies and economic geography, particularly by specifying and critically revising the levels, space and temporality of change. Besides the academic interest, this analysis was also motivated by predictions in the media, which were partly euphoric statements and partly horror scenarios. Such notions appeared in prominent German media during the COVID-19 pandemic. Wallstreet Online (2020) commented that COVID-19 ‘fear is causing a boom in online food retailing’. The critical newspaper TAZ (2020) claimed that the pandemic was ‘Good for Amazon’ and feared that the company could ‘break the neck of small retailers’. Similarly, the Frankfurter Rundschau spoke of an ‘escape to digitisation’ and feared that the virus would be the death of the corner shop (Niekisch 2020). Seizing upon such academic and public interest, the following section explains the MLP (Geels 2002, 2012), links it to economic geography (Truffer 2008; Murphy 2015) and discusses it in the context of online grocery retail. After a section on the methods employed in this study, we show that the spread of COVID-19 is an event at landscape level and the implementation of ‘stay at home’ changes the socio-technical (sub-)regime of food retail. The results specify the windows of opportunity in the current transition and explain limitations of a broader digitalisation of retail. The conclusion reflects on the findings. THE MULTI-LEVEL PERSPECTIVE Transition studies have recently shifted into focus in economics, social sciences and geography. Given their multidisciplinary spread, they relate to different epistemic interests and research fields. A common core of such studies is that they do not perceive time, or development, as deterministic sequences of waves or as stairways, but as processes that are framed by economic and socio-cultural settings, implying some openness and contingencies. The multi-level perspective (MLP; Geels 2002, 2011) provides a nuanced view on such long-term transitory processes (such as digitalisation), sudden crisis (COVID-19) and innovation (e-grocery). Hence, the paper focuses on a field of established economic approaches in the institutionalist tradition (Bathelt & Gibson 2015; Archibugi 2017), thereby extending the view on organisations and their contexts to space. The MLP (Geels 2002, 2011) offers a framework to understand the different dynamics of innovations. The model provides an analytical framework to explain under what circumstances and with what effects an innovation can move from a niche to a growth phase. The MLP explains how innovations disseminate by focusing both on technology and socio-economic contexts. It draws on the concept of technological regimes established by Nelson and Winter (1977), who contributed to a comprehensive perspective on complex regimes (cf. Genus & Coles 2008). Successful distribution of an innovation is not explained by the technology itself but by its application, exploitation, supporting policies, availability of capital, and so on. Hence, it requires a comprehensive perspective in the context of transition studies (cf. Geels 2002), particularly those that focus on the interrelation of economic crisis and innovation diffusion (Archibugi 2017). In economic geography, this is part of research strands that deal with path creation from a politically, socio-eco- nomically and spatially inspired perspective (MacKinnon et al. 2019). Geels (2002, 2011) distinguishes this into socio-technical landscapes, socio-technical regimes and niches (see Figure 1). Socio-technical landscapes are predominant framework conditions that can only marginally be influenced by individual actors. Landscapes include basic social issues (e.g. the values of a society), political settings (e.g. constitution) as well as economic conditions (e.g. oligopolies) or ecological conditions (e.g. climate). Such a landscape is usually relatively rigid but can change in the long term (‘longue durée’, e.g. due to demographic change; Geels 2011). Landscape can also change through economic and political crisis (Dederichs & Dannenberg 2017). DIGITAL TRANSITION BY COVID-19 PANDEMIC? 545 © 2020 The Authors. Tijdschrift voor Economische en Sociale Geografie published by John Wiley & Sons Ltd on behalf of Royal Dutch Geographical Society / Koninklijk Nederlands Aardrijkskundig Socio-technical regimes are embedded in the landscape. Regimes are characterised by established practices. A stable regime configuration offers actors a safe and stable framework for their activities. In contrast to the comparatively rigid structure of the landscapes, regimes can change significantly faster, for example through learning processes. Regime components are particular technologies, actual markets and policies. Moreover, they include, for example, infrastructure, technological knowledge, and company networks (Zademach & Schulz 2016). There is a special focus on the driving role of customers (or users). Technological niches are protected areas (e.g. from competition). They are fields of experimenting and trying out, such as R&D laboratories, subsidised demonstration projects, or settings in which users have special demands and are willing to support innovations (Geels 2011). Lee and Malerba (2017) distinguish three types of windows of opportunity: (i) windows that are opened by new basic technologies like within digitalisation; (ii) windows based on a new type of demand or a major shake-up of existing demand, and (iii) institutional windows induced by public intervention. Digitalisation during ‘stay at home’ could be such field of special demands and policy intervention. The innovation of food online trade has already emerged in a niche and could now significantly affect the middle – and mediating – level of the sociotechnical regime and possibly the landscape. This happens when a window of opportunity opens (Geels 2002, 2011). While the different levels in the MLP model originally do not include a spatial dimension, studies on economic geography apply the MLP to a spatial dimension (Hansen & Coenen 2015). While landscape Source: (Geels 2011, adapted by the authors). Figure 1. Multi-level perspective on transition. PETER DANNENBERG ET AL.546 © 2020 The Authors. Tijdschrift voor Economische en Sociale Geografie published by John Wiley & Sons Ltd on behalf of Royal Dutch Geographical Society / Koninklijk Nederlands Aardrijkskundig developments are usually associated with a national or global expansion and regimes are discussed, for example, at a national level (e.g. national regulatory and political framework), the niche can be based on ‘a localized or fragmented socio-spatial context that one encounters in few locations and/ or at the margins of the mainstream regime (e.g. among certain social groups or in particular locations)’ (Murphy 2015, p. 81). In this context, different studies have focused the importance of specific local settings for innovation processes (e.g. concerning trust and the exchange of tacit knowledge) linking it with studies on innovative milieus and regional innovation systems (e.g. Truffer 2008). However, MLP levels cannot simply be linked to certain spatial scales (Murphy 2015). As such, particular regionalisation showing how innovations disseminate spatially is necessary. The MLP (and its geographical adaptation) has some limitations. The assignment of phenomena to the long-term landscape level and to the level of the regime is ultimately arbitrary, as there is no clear boundary on how long a phenomenon has to exist in order to become part of the landscape. Given the importance of long-term impact in the model, this paper argues that ‘stay at home’ is a political measure of a particular period, and hence part of the regime. The landscape, on contrary, relates to long-term structures (e.g. digitalisation) as explained below. Hence, landscape and regime are less specified by particular objects (such as institutions, technologies, etc.) and rather by the time that they survive. In the course of examining the effects of the COVID-19 pandemic, however, sudden landscape development driven by a crisis is particularly important. This has hitherto been relatively neglected (for an exception see van Driel & Schot 2005). Such change can open a window of opportunity for niche innovations. Furthermore, so far there is relatively little knowledge regarding to what extent a window of opportunity can also close again. To overcome such limitations, we regard the COVID-19 pandemic as a sudden, temporary event of landscape development. The following, therefore, explains how such an overall landscape influences the constellation of the socio-technical regime, with its policies and ‘stay at home’ practices. Such constellations shape the window of opportunity as a chance for the existence of online grocery retailing to breakout from the niche. To specify the change, we consider Murphy et al. (2014) who argue that transition occurs, for example, if new business models or players succeed in breaking up the oligopoly of the stationary food retail trade and broadly establishing their own value creation structures. The following considers business models and actor constellations of German food retail, thereby including established firms with considerable market power and recently grown start-ups. Besides the supply side, the particularities on the demand side also play a role. Of particular importance is urban-rural disparities. The MLP offers insights in the differentiation of levels and economic and spatial penetration of innovations, within the comprehensive socio-economic conditions. It is useful to analyse the impact of COVID-19 on online grocery retailing. Before the COVID- 19 crisis, online grocery retail was a typical example of an innovation in a niche, compared to other industries that already serve large online segments (such as book and apparel retail). It was marked by small networks of actors, low turnovers and often only viable based on supporting measures (e.g. transfers from other segments of the executing companies, see Dederichs & Dannenberg 2017). Furthermore, it was mainly limited to urban and, in particular, larger metropolitan areas (BBSR 2019) where food online retailers used the dense urban population and their demands as a spatial niche and field of experimentation. The COVID-19 pandemic and ‘stay at home’ practices raises the question to what extent a window of opportunity has opened up, and a related transition process is taking place. METHOD This study follows a mixed method approach, which is based on qualitative interviews, secondary statistics and media analysis. Considering researchers’ and decision makers’ current need for up-to-date knowledge DIGITAL TRANSITION BY COVID-19 PANDEMIC? 547 © 2020 The Authors. Tijdschrift voor Economische en Sociale Geografie published by John Wiley & Sons Ltd on behalf of Royal Dutch Geographical Society / Koninklijk Nederlands Aardrijkskundig on the impact of the pandemic, the data used in this study was only collected from 10 March 2020 to 15 May 2020 during the COVID-19 pandemic and the related ‘stay at home’ lockdown in Germany. Given the short time-frame since the start of the lockdown in Germany in March 2020, data collection was not as comprehensive as in studies on established issues. However, in this study we analyse and triangulate a broad variety of secondary and primary data to derive robust preliminary results. The focus was on food-sector-related articles, general newspaper articles and online-me- dia articles. The search engine Nexis Uni was used as the main search engine for our sampling units. It was complemented by further online news resources of retailing and digitalisation (e.g. Lebensmittelpraxis, iBusiness), associations (e.g. behv, Bitkom, HDE) and German official statistics (Statista). German search terms related to COVID-19 and e-gro- cery, as well as brand names of German e-gro- cery companies, in various combinations with operators, were used. The selected categories related to the business models, actor constellations on the supply and the demand side, institutional frameworks, infrastructure and technology. A particular interest was the recent situation and outlook of online retailers, and indicators of transition and possibly changing regional disparities. To triangulate, confirm and interpret the secondary data analysis, eight interviews were carried out (online and telephonically) with stakeholders from the retail sector. Four of these interviews are quoted below (also see the Appendix), the other interviews are used as background information. In the sampling process, we listed all German e-grocery retailers mentioned in the articles, as well as further company names resulting from search engine requests. After identifying and contacting the interviewees, the interviews were conducted, recorded and the results described and classified. The structured interviews were based on an interview guide with questions regarding the categories (business models, actor constellations on the supply and the demand side, institutional frameworks, infrastructure and technology) in order to understand and differentiate impacts and resulting strategies. The results were interpreted using an adapted model of Mayring (2000). Quotes used in the empirical part below were translated from German to English. THE DEVELOPMENT OF ONLINE FOOD RETAILING IN GERMANY E-commerce is part of digitalisation, which is a long-term development on the landscape level. The earlier digitalisation of economy and society in Germany began in the 1980s (Malecki & Moriset 2008). Later, ‘smart’ digitisation expanded in the 2010s, creating a broad basis for e-commerce (Fuchs 2020). In Germany, digitalisation is ‘moderate’ compared to other countries in the European Union (EBIS 2020). Moreover, digitalisation has not reached all households nationwide; peripheral-rural areas are less digitally developed. This is partially due to a lack of digital infrastructure and of digital competency. Concerns about digital surveillance and monopolisation play a role in digital scepticism in Germany (Fuchs 2020). However, with COVID- 19, the intensity of use and distribution of digital media have skyrocketed (World Economic Forum 2020). Especially in the crisis and with ‘stay at home’ protocols, the broad opportunities that digitisation offers to keep the socio-eco- nomic system running have become clearer. While, generally, online retail in other sectors had significant turnover even before the COVID- 19 crisis, online food retail has remained in a niche. When the first online food retailers were founded in the 1990s in an initial experimental phase (Dannenberg & Franz 2014), there were difficulties because of slow modems, customers’ lack of internet, problematic online payment methods and inadequate logistics (Zook 2002). For e-grocery especially cold chain problems, and the impossibility for the customer to see and feel the product in advance, were larger barriers (Dannenberg & Dederichs 2019). Then, a phase of slowly increasing growth began in the 2000s and spiked in the late 2010s. From 2016 (€932M) the online food retail turnover could increase strongly to 2018 (€1,595M; Statista 2020). This was due to companies increasingly trying and testing digitisation. Furthermore, fears regarding data and payment security could generally be dispelled. Acceptance on the PETER DANNENBERG ET AL.548 © 2020 The Authors. Tijdschrift voor Economische en Sociale Geografie published by John Wiley & Sons Ltd on behalf of Royal Dutch Geographical Society / Koninklijk Nederlands Aardrijkskundig part of older population groups also increased (Einzelhandels-Monitor 2020). Besides innovative start-ups, the sector expanded due to large supermarket chains, such as REWE, and online marketplaces, such as AmazonFresh, entered the e-grocery segment with extensive offers and were able to build their online retail columns in a protected manner based on existing infrastructures and cross-financing. This cross-financ- ing by the parent company is a typical feature of innovation in a niche. Despite this growth, overall, the online grocery trade remained at a significantly lower sales level than in other online retail segments (Statista 2020), and also compared to e-grocery in other countries (e.g. Great Britain, EHI 2018a). Still, the growth was limited and remained in the niche in Germany. Remaining problems were the requirements for uninterrupted cold chains, the last mile problem, the lack of possibilities to smell and feel the food, and the generally low willingness of customers to pay an additional charge for online orders with home delivery (Dannenberg et al. 2016; Kulke 2016; Seitz et al. 2017). Parallel to this, in comparison to other European countries, German e-grocery was characterised by a late entrance of the larger supermarket chains into e-grocery and a lack of flat-rate delivery charges. On the other hand, German stationary retail provides the densest net of food stores in Europe, which limits the necessity for online retail (Dannenberg & Franz 2014; EHI 2018b). As an interviewee described the situation before the COVID-19 pandemic: ‘There is no need, the Germans are satisfied with their food trade’ (Interview 1, 11 May 2020). Furthermore, the comparatively high transport and logistic requirements implied that most of the offers were aimed at the larger urban areas, while rural-peripheral areas are mostly left out, even by larger online grocery providers (Mensing 2018; Dannenberg & Dederichs 2019). Indeed, German online food retail has so far mainly operated in an urban market niche. Generally, the share of online retail users of the largest cities in Germany (Berlin 73% and Hamburg 71%) is much higher than the German average (65%) and the most rural Bundesland Mecklenburg- Vorpommern in the Eastern part of Germany (55%; BBSR 2019, see also Figure 2). This can be also seen in a high correlation between urbanity and the use of e-grocery (r=0.7; own calculations on Länder-Level based on population density; BBSR 2019). The difference between the usage of e-gro- cery in rural and urban areas can be explained through the following factors: • German food retailers generally only achieve margins between one and three per cent (Nufer & Kronenberg 2014). The profit margins are further depressed by longer journeys to sparsely populated rural areas, in which few scattered customers lead to a loss of overall return. Customer orders in peripheral areas are too low in volume for a delivery service to be profitable (Interview 1, 11 May 2020). • Many of the business models (Table 1) are based on stationary food retail structures that are often missing in rural areas. This is particularly evident in the delivery or click & collect models of complementary e-commerce that use their branch networks as important logistics infrastructures. Structures of this type are more present in urban areas, so that delivery services can be established from a branch, pick-up stations at busy locations or delivery from specially constructed logistics warehouses (Dederichs & Dannenberg 2019). • The previously typical customer groups of food online retail are less represented in rural areas than in cities. This is particularly the case for ‘double income no kids’ households, young families, highly busy people, and internet-savvy retirees, for whom stationary shopping is a (physical) challenge (Dannenberg & Franz 2014). Especially in the sparsely populated eastern German states, incomes are lower than in cities. In western Germany, there are more cities with over 500,000 inhabitants than in the east of Germany. Consequently, there is a higher demand in the West (Interview 1, 11 May 2020). Hence, prior to the COVID-19 pandemic, the established grocery stores that offer their fresh food segment online, focused on delivering to urban areas (Fruchtportal 2020). AmazonFresh only delivers to Berlin, Potsdam, Munich and Hamburg. Broader Germany-wide deliveries were mainly limited to a specific high-value market niche (e.g. certain organic products or ready- to-cook combinations; Mensing 2018). DIGITAL TRANSITION BY COVID-19 PANDEMIC? 549 © 2020 The Authors. Tijdschrift voor Economische en Sociale Geografie published by John Wiley & Sons Ltd on behalf of Royal Dutch Geographical Society / Koninklijk Nederlands Aardrijkskundig Today, the market leader in German online food retail is the purely e-commerce HelloFresh, a specialised internet start-up, with a turnover of €479.4 million. They are followed by the food division of Amazon.de with €218 million a year, and REWE with €130.4 million a year (Statista 2019). These new actors contributed to a variety of business models and distribution channels which could help overcome existing barriers and support a transition. Now, with the COVID-19-induced increase in digitalisation, it is possible that online food retail could move into a new phase of growth, with newly emerging adjusted food retailing regimes. Such new regimes could manifest in new actor constellations, the establishment of new business models, an attractiveness for new customer segments and spatial dispersion of e-grocery. Currently, three larger business models of German online food retail can be Note: GfK consumer panel index includes a nationwide annual 30,000 household survey on online and offline retail activities. The German average is 100, a higher index indicates higher e-grocery activities). Source: GfK 2018; figure adapted by the authors. Figure 2. Potential for e-grocery in Germany based on GfK consumer panel 2016. < 80 80 - < 88 88 - < 96 96 - < 112 112 - < 120 120 - < 128 >= 128 Index per inhabitant federal state (Bundesland) district (Landkreis) BerlinBerlin HamburgHamburg MunichMunich CologneCologne Frankfurt on theMain Frankfurt on theMain StuttgartStuttgart DüsseldorfDüsseldorf DortmundDortmund EssenEssen LeipzigLeipzig BremenBremen DresdenDresden 6&+/(6:,* +2/67(,1 6&+/(6:,* +2/67(,1 0(&./(1%85* :(67(51320(5$1,$ 0(&./(1%85* :(67(51320(5$1,$ %5$1'(1%85* %5$1'(1%85* 6$;21< 6$;21< 6$;21< $1+$/7 6$;21< $1+$/7 7+85,1*,$ 7+85,1*,$ /2:(56$;21,$ /2:(56$;21,$ 1257+5+,1( :(673+$/,$ 1257+5+,1( :(673+$/,$ 5+,1(/$1' 3$/$7,1$7( 5+,1(/$1' 3$/$7,1$7( +(66( +(66( %$9$5,$ %$9$5,$ %$'(1 :h577(0%(5* %$'(1 :h577(0%(5* 6$$5 /$1' 6$$5 /$1' 0 100 200 km PETER DANNENBERG ET AL.550 © 2020 The Authors. Tijdschrift voor Economische en Sociale Geografie published by John Wiley & Sons Ltd on behalf of Royal Dutch Geographical Society / Koninklijk Nederlands Aardrijkskundig distinguished: (i) Large food retailers that sell both online and in stationary grocery stores, so called complementary e-commerce or hybrids like REWE; (ii) pure e-commerce such as HelloFresh or Picnic; and (iii) combined e-commerce companies, like AmazonFresh, which prove an online platform (see Table1). Sometimes mergers between the segments occur. Apart from these business models, online retailers also differ according to how the goods are transferred (e.g. delivered to the customer, in a drop box, or at a central location), the ordering and payment methods (e.g. before or after receipt of the goods) and the storage location of the goods before the goods are handed over (e.g. via a central logistics warehouse or decentrally via branches). Table1 shows the different business models and distribution mechanisms of online food retail. Concerning the current ‘stay at home’ situation, this offers various options for customer contact, especially considering the need for physical social distancing. At the same time, the current situation presents many challenges for the technical infrastructure, the personnel in logistics, and the thirdparty delivery service providers. With complementary e-commerce, stationary food retailers and especially large supermarket chains (such as REWE) offer the option for their clients to order their goods online (in addition to buying them in the branch as a multichannel offer). In addition to their logistic centres, these companies can therefore use their branch network structure in which the stationary stores also serve as places of delivery or starting point for delivery to the end customer. The goods can be transported in different ways. In contrast, pure e-commerce actors naturally do not have own branch structure. Pure e-commerce sends (shipping model) or delivers (delivery model) customers’ purchases from a geographically central warehouse to the front door or, if necessary, an alternative pick-up location. Picnic as an example of pure e-commerce has so far been delivering in North Rhine-Westphalia (Eschborn 2020). In combined e-commerce, on the other hand, goods are offered by various providers via online marketplaces and transported to end customers via service providers. One example is AmazonFresh. Against this background, the following discusses to Table 1. Business models and distribution mechanisms in online food retail. Business model (right) Distribution mechanisms (below) Complementary (hybrid) ecommerce (e.g. supermarkets with multi-channel online offers) Pure e-commerce Combined ecommerce (e.g. online platforms such as AmazonFresh) Own home delivery logistics • Home delivery with own logistics from branch store • Home delivery with own logistics from central warehouse • Home delivery with own logistics from central warehouse • Online platform with own logistics for home delivery Click & collect models • Delivery to delivery lockers with own logistics from branch store • Delivery to delivery lockers with own logistics from central warehouse • Collection by consumer at branch store • Delivery to delivery lockers by third party service from central warehouse • Delivery to delivery lockers with own logistics from central warehouse • Delivery to delivery lockers by third party service from central warehouse • Collection by consumer at distribution point Third party delivery models • Home delivery by third party service from central warehouse • Home delivery by third party service from central warehouse • Drop shipping Source: own compilation; see also Dannenberg et al. (2016). DIGITAL TRANSITION BY COVID-19 PANDEMIC? 557 © 2020 The Authors. Tijdschrift voor Economische en Sociale Geografie published by John Wiley & Sons Ltd on behalf of Royal Dutch Geographical Society / Koninklijk Nederlands Aardrijkskundig for this is that the COVID-19 pandemic was not foreseeable for online retail. Thus, COVID-19 is not the stable regime configuration that offers actors a safe and stable framework for their activities, as the MLP suggests. The quick onset and unpredictability of the event limited the expansion of online food retail during COVID- 19, and the conceivably limited timeframe of ‘stay at home’ practices acted as a barrier for expansion. Thus, the window of opportunity caused by ‘stay at home’ offered only limited space for experimentation and trying out new methods, such as initiatives by local retailers to help each other. ‘Stay at home’ practices also created high pressure to satisfy the soaring customer demand. With regard to digitalisation in space, this study shows that digitalisation does not generally help to overcome spatial disparities. At the time of completing this manuscript (with ‘stay at home’ still in place), there was no true reconfiguration of the general actor constellation. So far, even the unprecedented growth in e-grocery during the crisis does not indicate a fundamental long-term shift from stationary to online food retail. In e-grocery itself, the strong player AmazonFresh gained customers; yet it did not fundamentally change online food retail during the COVID-19 pandemic in Germany. The German market leader HelloFresh also profited. Even though new startups appeared, the online food retail remained essentially unchanged in terms of the dominant business models and distribution mechanisms. In this sense, no transition could be identified in this period. In fact, our results indicate that a fast and wider establishment of e-groceries and a related transition of the retail sector as a whole is unlikely to happen in Germany in the foreseeable future, particularly in its peripheral parts. Generally, the case of the COVID-19 pandemic and ‘stay at home’ practices illustrated the importance of better understanding the temporality and fragility of socio-tech- nical regime changes and related windows of opportunity in the MLP. While works in transition studies have mainly regarded longterm changes, for example related to climate change, our case illustrates how the particular settings within the pandemic produced a limited ‘window of opportunity’ that can close again in post-pandemic times. Acknowledgements We gratefully acknowledge the support of the research project ‘Regional Employment Effects of Online-Trade’ by the Hans Böckler Foundation (Grant No. 2019-571-3). Our gratitude goes to Martin Franz for his supportive comments. 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