The DOI matches its Crossref record; 90 of the 91 references it cites were found in a registry or an index.
Food Retail Resilience Pre-, during, and Post-COVID-19: A Bibliometric Analysis and Research Agenda
Open accessAbstract
This paper aims to conduct a bibliometric mapping and systematic review of the food retail industry's resilience strategy in the context of COVID-19. Specifically, we aim to identify relevant research gaps in the industry during the pre-, during, and post-pandemic periods and highlight the differences between B2B and B2C sectors. We analyzed articles in the Scopus database from 2019 to 2022 using the PRISMA method for article selection, resulting in a total of 69 articles. We employed a VOS viewer for bibliometric mapping. Our analysis revealed that most studies focused on the impact of COVID-19, with only a few examining the pre- and post-pandemic periods critically. In the B2C context, we identified two major topics: changes in purchasing and consumption behavior, and food waste and safety. In the B2B sector, the two most recurrent subjects were retailers' strategies and supply chain management. This study provides valuable insights for policymakers by exploring industry trends and for scholars by highlighting future research agendas based on the identified topics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“with heightened health consciousness emerging as a key driver of purchase decisions [1,2,3,4,5,6]”
From Psychological Determinants of Healthy Food Purchase Intention: An Integrative Model Based on Health Consciousness (2025) · cites this paper as [5]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · cited 1×
“Additionally, the Technology Acceptance Model [20], can serve as a valuable tool for analyzing changes in consumer behaviors.”
MethodFirm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334 · cited 1×
“This theory posits that a firm’s resources and capabilities are key determinants of its performance and competitive advantage [19].”
BackgroundSoftware survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2010) · International Journal of Surgery · doi:10.1016/j.ijsu.2010.02.007 · Cited by 12,156 · cited 1×
“To achieve this goal, we followed the PRISMA guidelines introduced by Moher et al. [7].”
MethodBurgos, D., & Ivanov, D. (2021) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2021.102412 · Cited by 490 · cited 2×
“The German behind is the article by Burgos and Ivanov [11], entitled ‘Food retail supply chain resilience Food Online Retail’ by Dannenberg [10] has received the highest number of citations, with a total of 138 according to SCOPUS data, yet no reciprocal links were found.”
How Technology is Changing Retail
Shankar, V., Kalyanam, K., Setia, P., Golmohammadi, A., Tirunillai, S., Douglass, T., Hennessey, J., Bull, J. S., & Waddoups, R. (2021) · Journal of Retailing · doi:10.1016/j.jretai.2020.10.006 · Cited by 438 · cited 1×
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
BackgroundLăzăroiu, G., Neguriţă, O., Grecu, I., Grecu, G., & Mitran, P. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00890 · Cited by 432
Agarwal, P., Swami, S., & Malhotra, S. K. (2022) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-08-2021-0122 · Cited by 328
Digital Transition by COVID‐19 Pandemic? The German Food Online Retail
Dannenberg, P., Fuchs, M., Riedler, T., & Wiedemann, C. (2020) · Tijdschrift voor economische en sociale geografie = Journal of economic and social geography = Revue de geographie economique et humaine = Zeitschrift fur okonomische und soziale Geographie = Revista de geografia economica y social · doi:10.1111/tesg.12453 · Cited by 260 · cited 3×
“Pre-COVID-19 [21–27] During COVID-19 [10–12,14, 16– 18, 21– 24, 27– 77] Post-COVID-19 Post-COVID-19”
BackgroundLăzăroiu, G., Andronie, M., Uţă, C., & Hurloiu, I. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00340 · Cited by 216
Changing Grocery Shopping Behaviours Among Chinese Consumers At The Outset Of The COVID‐19 Outbreak
Li, J., Hallsworth, A. G., & Coca‐Stefaniak, J. A. (2020) · Tijdschrift voor Economische en Sociale Geografie · doi:10.1111/tesg.12420 · Cited by 207 · cited 4×
“Only a few have employed a theoretical model, with the theory of planned behavior being the most commonly used [12,14,15].”
BackgroundInfluentialEnhancing the foundations for theorising through bibliometric mapping
Sinkovics, N. (2016) · International Marketing Review · doi:10.1108/imr-10-2014-0341 · Cited by 185 · cited 1×
“In this regard, the bibliometric analysis in this study follows the recommended steps by Sinkovics [6] and begins with defining the search strategy and data collection.”
MethodLong-term changes in consumers' shopping behavior post-pandemic: an exploratory study
Gupta, A. S., & Mukherjee, J. (2022) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-04-2022-0111 · Cited by 153 · cited 1×
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
BackgroundYu, L., & Yu, Z. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1061778 · Cited by 143 · cited 1×
“This approach provides a comprehensive literature analysis, allowing for a detailed examination of the bibliographic data [8,9].”
BackgroundFood waste in Italian households during the Covid-19 pandemic: a self-reporting approach
Amicarelli, V., & Bux, C. (2020) · Food Security · doi:10.1007/s12571-020-01121-z · Cited by 138 · cited 2×
“Pre-COVID-19 [21–27] During COVID-19 [10–12,14, 16– 18, 21– 24, 27– 77] Post-COVID-19 Post-COVID-19”
BackgroundCOVID-19 impacts and adaptations in Asia and Africa’s aquatic food value chains
Belton, B., Rosen, L., Middleton, L., Ghazali, S., Mamun, A., Shieh, J., Noronha, H. S., Dhar, G. C., Ilyas, M., Price, C. R., et al. (2021) · Marine Policy · doi:10.1016/j.marpol.2021.104523 · Cited by 131
Omnichannel retailing and post-pandemic recovery: building a research agenda
Salvietti, G., Ziliani, C., Teller, C., Ieva, M., & Ranfagni, S. (2022) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-10-2021-0485 · Cited by 121
Filimonau, V., Vi, L. H., Beer, S., & Ермолаев, В. А. (2021) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2021.101125 · Cited by 120
COVID-19 and Retail Grocery Management: Insights From a Broad-Based Consumer Survey
Wang, Y., Xu, R., Schwartz, M. B., Ghosh, D., & Chen, X. (2020) · IEEE Engineering Management Review · doi:10.1109/emr.2020.3011054 · Cited by 120
Andronie, M., Lăzăroiu, G., Ștefănescu, R., Ionescu, L., & Cocoșatu, M. (2021) · Oeconomia Copernicana · doi:10.24136/oc.2021.034 · Cited by 116 · cited 1×
“Technology and food shopping apps might help consumers to improve their online buying decisions [93], thus future research could also focus on analyzing food decision-making depending on the use of mobile apps.”
BackgroundSharma, M., Alkatheeri, H. B., Jabeen, F., & Sehrawat, R. (2022) · The International Journal of Logistics Management · doi:10.1108/ijlm-02-2021-0131 · Cited by 109
Robertson, J., Botha, E., Walker, B., Wordsworth, R., & Balzarova, M. A. (2022) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-10-2021-0514 · Cited by 107 · cited 1×
“In addition, a highly researched area is how retailers have adapted their strategies during the pandemic [10,17,47,56,61,64,74,88,89].”
BackgroundPredictors of continuance intention of online food delivery services: gender as moderator
Francioni, B., Curina, I., Hegner, S. M., & Cioppi, M. (2022) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-11-2021-0537 · Cited by 101 · cited 1×
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
BackgroundVillanova, D., Bodapati, A. V., Puccinelli, N. M., Tsiros, M., Goodstein, R. C., Kushwaha, T., Suri, R., Ho, H., Brandon, R., & Hatfield, C. (2021) · Journal of Retailing · doi:10.1016/j.jretai.2021.02.001 · Cited by 90
Everitt, H., van der Werf, P., Seabrook, J. A., Wray, A. J. D., & Gilliland, J. (2021) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2021.101110 · Cited by 85 · cited 1×
“Researchers have analyzed socio-demographic and psychographic characteristics that could potentially impact household food wastage [43,49,52].”
BackgroundMasudin, I., Ramadhani, A., Restuputri, D. P., & Amallynda, I. (2021) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-021-00281-x · Cited by 83
Gomes, S., & Lopes, J. M. (2022) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer17030047 · Cited by 82 · cited 2×
“Only a few have employed a theoretical model, with the theory of planned behavior being the most commonly used [12,14,15].”
BackgroundA study on the influential factors of the last mile delivery projects during Covid-19 era
Suguna, M., Shah, B., Raj, S., & Suresh, M. (2021) · Operations Management Research · doi:10.1007/s12063-021-00214-y · Cited by 79
Ihle, R., Rubin, O. D., Bar‐Nahum, Z., & Jongeneel, R. A. (2020) · Food Security · doi:10.1007/s12571-020-01084-1 · Cited by 74
Rukasha, T., Nyagadza, B., Pashapa, R., & Muposhi, A. (2021) · Cogent Social Sciences · doi:10.1080/23311886.2021.1928980 · Cited by 74
The concerning increasing trend of alcohol beverage sales in the U.S. during the COVID-19 pandemic
Castaldelli-Maia, J. M., Segura, L. E., & Martins, S. S. (2021) · Alcohol · doi:10.1016/j.alcohol.2021.06.004 · Cited by 73
Impact of COVID-19 food supply chain: Comparing the use of IoT in three South African supermarkets
Njomane, L., & Telukdarie, A. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102051 · Cited by 72 · cited 3×
“With regard to supply chain disruptions caused by the pandemic, prior research has explored its effects on the food supply chain [11,41,49,58,64].”
BackgroundUrban food markets and the COVID-19 lockdown in India
Narayanan, S., & Saha, S. (2021) · Global Food Security · doi:10.1016/j.gfs.2021.100515 · Cited by 68
Strotmann, C., Baur, V., Börnert, N., & Gerwin, P. (2021) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2021.101104 · Cited by 67
Extrinsic and intrinsic motives: panic buying and impulsive buying during a pandemic
Lavuri, R., Jaiswal, D., & Thaichon, P. (2022) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-01-2022-0010 · Cited by 60 · cited 1×
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
BackgroundChanges in Consumer Behaviour in the Post-COVID-19 Era in Seoul, South Korea
Jo, H., Shin, E., & Kim, H. (2020) · Sustainability · doi:10.3390/su13010136 · Cited by 55
Colaço, R., & Silva, J. D. A. E. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102859 · Cited by 49
Supply Chain Sustainability during COVID-19: Last Mile Food Delivery in China
Lin, Y., Marjerison, R. K., Choi, J.-H., & Chae, C. (2022) · Sustainability · doi:10.3390/su14031484 · Cited by 49 · cited 2×
“Only a few have employed a theoretical model, with the theory of planned behavior being the most commonly used [12,14,15].”
BackgroundAdewopo, J. B., Solano-Hermosilla, G., Colen, L., & Micale, F. (2021) · Global Food Security · doi:10.1016/j.gfs.2021.100523 · Cited by 48
Supply chain resilience and business responses to disruptions of the COVID-19 pandemic
Ramanathan, U., Aluko, O., & Ramanathan, R. (2021) · Benchmarking : An International Journal · doi:10.1108/bij-01-2021-0023 · Cited by 47
Food delivery app continuance: a dual model and segmentation approach
Nguyen, T., Huang, E., & Nguyen, D. M. (2023) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-06-2022-0217 · Cited by 45 · cited 1×
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
BackgroundAssuring food security in Singapore, a small island state facing COVID-19
Teng, P. (2020) · Food Security · doi:10.1007/s12571-020-01077-0 · Cited by 43
Resilience and transformation: Lessons from the UK local food sector in the COVID‐19 pandemic
Jones, S. R., Krzywoszynska, A., & Maye, D. (2022) · Geographical Journal · doi:10.1111/geoj.12428 · Cited by 43 · cited 1×
“In addition, a highly researched area is how retailers have adapted their strategies during the pandemic [10,17,47,56,61,64,74,88,89].”
BackgroundDoes resilience reduce food waste? Analysis of Brazilian supplier-retailer dyad
Costa, F. H. D. O., de Moraes, C. C., da Silva, A. L., Delai, I., Chaudhuri, A., & Pereira, C. R. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.130488 · Cited by 43
Unscrambling U.S. egg supply chains amid COVID-19
Malone, T., Schaefer, K., & Lusk, J. (2021) · Food Policy · doi:10.1016/j.foodpol.2021.102046 · Cited by 35 · cited 1×
“Another area of research focuses specifically on how certain food items have been affected by the COVID-19 pandemic [38,65].”
BackgroundCariappa, A. G. A., Acharya, K. K., Adhav, C. A., Sendhil, R., Ramasundaram, P., Kumar, A., Singh, S., & Singh, G. P. (2020) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2022.101366 · Cited by 35 · cited 4×
“With regard to supply chain disruptions caused by the pandemic, prior research has explored its effects on the food supply chain [11,41,49,58,64].”
BackgroundInfluentialThe transformation of the e-tailing field: a bibliometric analysis
Altıntaş, M. H., Kılıç, S., & AKHAN, C. E. (2019) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-10-2018-0232 · Cited by 33
COVID-19 and agri-food value chain: a systematic review and bibliometric mapping
Das, N. K., & Roy, A. (2021) · Journal of Agribusiness in Developing and Emerging Economies · doi:10.1108/jadee-07-2021-0188 · Cited by 29
Retailing during the COVID-19 lifecycle: a bibliometric study
Gupta, A. S., Mukherjee, J., & Garg, R. J. (2023) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-09-2022-0363 · Cited by 29 · cited 1×
“Bibliometric analysis is a critical tool for conducting research in various fields, providing researchers with valuable insights into the publication patterns, research trends, and collaborations among researchers in a particular field [4,5].”
BackgroundEconomic resilience during COVID-19: An insight from permanent business closures
Zhai, W., & Yue, H. (2021) · Environment and Planning · doi:10.1177/0308518x211055181 · Cited by 28
Adopting retail technology in crises: integrating TAM and prospect theory perspectives
Burgess, B., Yaoyuneyong, G., Pollitte, W. A., & Sullivan, P. M. (2023) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-05-2022-0153 · Cited by 27
Kogan, K., & Herbon, A. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108631 · Cited by 25 · cited 1×
“Panic buying at the beginning of the lockdown caused temporary shortages due to disruptions in the supply chain [57].”
BackgroundDrone Food Delivery: A Solution to Crowding During the Global COVID-19 Pandemic
Singh, G., Sharma, S., Tandon, A., & Kaur, P. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3181251 · Cited by 25 · cited 3×
“Other theories, such as the risk calculus theory [16], threat appraisal theory [16], stream of sustainable development theory [17], and spatial and relational resilience theories [18], have also been used.”
BackgroundRegional and plant-size impacts of COVID-19 on beef processing
Bina, J. D., Tonsor, G., Schulz, L. L., & Hahn, W. (2022) · Food Policy · doi:10.1016/j.foodpol.2022.102247 · Cited by 24
Brown, D. M., Apostolidis, C., Singh, P., Dey, B., & Chelekis, J. (2022) · International Journal of Entrepreneurship and Innovation · doi:10.1177/14657503221145101 · Cited by 23
Organic Food Consumption During the COVID-19 Pandemic. A Bibliometric Analysis and Systematic Review
Cramarenco, R. E., Burcă-Voicu, M. I., & Dabija, D. (2023) · Amfiteatru Economic · doi:10.24818/ea/2023/s17/1042 · Cited by 23 · cited 2×
“…identification of patterns and trends within the literature enhancing the understanding of the theoretical foundation of resilient retail strategies before, during, and after COVID-19. citation counts, geographical distribution, institutional affiliations, sources, and author-de-veloped keywords.”
BackgroundSelf-citationGarcía, A. D. L. P., Zimmermann, S. A., & Eleutério, A. A. (2020) · Human Organization · doi:10.17730/1938-3525-79.4.323 · Cited by 22
Diaz, R., & Montalvo, R. (2022) · Sustainability · doi:10.3390/su142215436 · Cited by 19 · cited 1×
“Pre-COVID-19 [21–27] During COVID-19 [10–12,14, 16– 18, 21– 24, 27– 77] Post-COVID-19 Post-COVID-19”
The Role of Community-Led Food Retailers in Enabling Urban Resilience
McEachern, M., Warnaby, G., & Moraes, C. (2021) · Sustainability · doi:10.3390/su13147563 · Cited by 19 · cited 2×
“Other theories, such as the risk calculus theory [16], threat appraisal theory [16], stream of sustainable development theory [17], and spatial and relational resilience theories [18], have also been used.”
BackgroundGeographies of grocery shopping in major Canadian cities: Evidence from large-scale mobile app data
Smith, L., Yifei, M., Widener, M. J., & Farber, S. (2022) · Environment and Planning B Urban Analytics and City Science · doi:10.1177/23998083221129272 · Cited by 19 · cited 1×
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
BackgroundMusic, J., & Charlebois, S. (2022) · Cogent Social Sciences · doi:10.1080/23311886.2022.2072556 · Cited by 19 · cited 1×
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
BackgroundThe Effects of the COVID-19 Pandemic on the Mass Market Retailing of Wine in Italy
Gerini, F., Dominici, A., & Casini, L. (2021) · Foods · doi:10.3390/foods10112674 · Cited by 18
Sustainability of Food Placement in Retailing during the COVID-19 Pandemic
Končar, J., Marić, R., Vukmirović, G., & Vučenović, S. (2021) · Sustainability · doi:10.3390/su13115956 · Cited by 17
Consumers’ eating habits during the Covid-19 pandemic: Evidence of an experimental analysis in Italy
Sgroi, F., & Modica, F. (2022) · International Journal of Gastronomy and Food Science · doi:10.1016/j.ijgfs.2022.100538 · Cited by 17
Planning the urban foodscape: policy and regulation of urban agriculture in Aotearoa New Zealand
Hanna, C., & Wallace, P. (2021) · K?tuitui: New Zealand Journal of Social Sciences Online · doi:10.1080/1177083x.2021.1996403 · Cited by 16
Consumers’ Attitudes and Purchase Behavior of HMR (Home Meal Replacement) Using Locally Sourced Food
Rha, J., Chun, Y., Lee, B., Ko, J., Jang, J., & Won, H. (2022) · Journal of Food Products Marketing · doi:10.1080/10454446.2022.2048767 · Cited by 16 · cited 1×
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
BackgroundWei, Y.-P. (2021) · Sustainability · doi:10.3390/su131910554 · Cited by 16 · cited 1×
“Researchers have analyzed socio-demographic and psychographic characteristics that could potentially impact household food wastage [43,49,52].”
BackgroundImpacts of COVID-19 on U.S. Seafood Availability
Anderson, J. L., Asche, F., Garlock, T., Hegde, S., Ropicki, A., & Straume, H.-M. (2022) · Journal of Agricultural & Food Industrial Organization · doi:10.1515/jafio-2022-0017 · Cited by 15
The impact of the COVID‐19 pandemic on retail dairy prices
Liu, Y.-Z., & Rabinowitz, A. N. (2020) · Agribusiness · doi:10.1002/agr.21687 · Cited by 15
Does sustainability drive to create store equity? A proposal through image, quality and loyalty
Sanchez-González, I., Saura, I. G., & Molina, M. E. R. (2021) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-10-2020-0389 · Cited by 14
Skawińska, E., & Zalewski, R. I. (2021) · Sustainability · doi:10.3390/su13137323 · Cited by 14
Kumar, A., & Singh, R. K. (2022) · Journal of Global Operations and Strategic Sourcing · doi:10.1108/jgoss-12-2021-0107 · Cited by 14
Lindsay, J., Lane, R., Raven, R. P. J. M., & Reynolds, D. (2022) · Sustainability Science Practice and Policy · doi:10.1080/15487733.2022.2088004 · Cited by 13
Pinto, J., Veloso, C., Sousa, B., Valeri, M., Walter, C. E., & Lopes, E. (2022) · Sustainability · doi:10.3390/su141710813 · Cited by 12 · cited 1×
“Studies on purchasing behavior have explored the adoption and usage of new technologies, particularly delivery services, that were necessitated by the pandemic [15,16,53,83–85], as well as identifying factors that have influenced changing consumer behavior [62,68,70,73,86,87].”
BackgroundResilience of an evolved retail agglomeration: case of rural periodic markets in emerging economies
Satyam, S., Aithal, R., & Pradhan, D. (2022) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-09-2021-0423 · Cited by 12
Browsing for food: Will COVID‐induced online grocery delivery persist?
Younes, H., Noland, R., & Zhang, W. (2022) · Regional Science Policy & Practice · doi:10.1111/rsp3.12542 · Cited by 12
Agricultural Entrepreneurial Strategy during the COVID-19 Pandemic: Case Study of Garut, Indonesia
Soegoto, E. S., Luckyardi, S., Warlina, L., & Supatmi, S. (2022) · Journal of Eastern European and Central Asian Research · doi:10.15549/jeecar.v9i2.872 · Cited by 12 · cited 1×
“In addition, a highly researched area is how retailers have adapted their strategies during the pandemic [10,17,47,56,61,64,74,88,89].”
BackgroundKita, P., Maciejewski, G., Čvirik, M., & Mazalánová, V. K. (2022) · Forum Scientiae Oeconomia · doi:10.23762/fso_vol10_no3_4 · Cited by 12 · cited 1×
“Pre-COVID-19 [21–27] During COVID-19 [10–12,14, 16– 18, 21– 24, 27– 77] Post-COVID-19 Post-COVID-19”
Omoruyi, O., Dakora, E., & Oluwagbemi, O. (2022) · Journal of Transport and Supply Chain Management · doi:10.4102/jtscm.v16i0.739 · Cited by 10
Essential item purchases during COVID-19: A cluster analysis of psychographic traits
Ng, P., Quach, X., Fares, O. H., Mohan, M., & Lee, S. H. (2022) · Journal of Global Scholars of Marketing Science · doi:10.1080/21639159.2022.2033132 · Cited by 10
The role of vending channels in marketing: A systematic review and taxonomy of studies
Stoyanov, D. (2021) · Journal of Consumer Affairs · doi:10.1111/joca.12362 · Cited by 9
Food-trade-associated COVID-19 outbreak from a contaminated wholesale food supermarket in Beijing
Lu, S., Wang, W., Cheng, Y., Yang, C.-X., Jiao, Y., Xu, M., Bai, Y., Yang, J., Song, H.-B., Wang, L.-G., et al. (2021) · Journal of Biosafety and Biosecurity · doi:10.1016/j.jobb.2021.04.002 · Cited by 8
Enemies to frenemies: coopetition between online and offline retailers amidst crises
Halan, D. D., & Singh, E. (2023) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-06-2022-0208 · Cited by 7 · cited 1×
“In addition, a highly researched area is how retailers have adapted their strategies during the pandemic [10,17,47,56,61,64,74,88,89].”
BackgroundCai, M., Moore, S., Ball, C., Flynn, M., & Mulkearn, K. (2022) · Industrial relations journal · doi:10.1111/irj.12377 · Cited by 7
Impact of COVID-19 Pandemic on Vertical Price Transmission in the U.S. Fresh Banana Market
Odiase, S., & Saghaian, S. (2022) · Sustainability · doi:10.3390/su14106354 · Cited by 7 · cited 1×
“Another area of research focuses specifically on how certain food items have been affected by the COVID-19 pandemic [38,65].”
BackgroundCOVID-19 lockdown and prices of essential food items in India: examining law of one price
Akber, N., & Paltasingh, K. R. (2022) · Journal of Agribusiness in Developing and Emerging Economies · doi:10.1108/jadee-12-2021-0316 · Cited by 7
Using EPP Boxes in a Dark Store: A New Approach to Simplify Food Retail E-Commerce Deliveries
Pintado, E., de Oliveira, L. C., & Garcia, J. E. (2022) · Business Systems Research Journal · doi:10.2478/bsrj-2022-0029 · Cited by 6
Mngomezulu, K., Ndinda, C., Mazamane, Z., Sinyolo, S., & Adebayo, P. (2022) · Agenda · doi:10.1080/10130950.2022.2096791 · Cited by 6
Impact of pandemics on humanitarian retailing operations: A voucher's case
Mohamadi, N., Bakhishi, H., Transchel, S., & Besiou, M. (2022) · Production and operations management · doi:10.1111/poms.13690 · Cited by 6 · cited 1×
“In addition, a highly researched area is how retailers have adapted their strategies during the pandemic [10,17,47,56,61,64,74,88,89].”
BackgroundGunasegaran, M., Hasanuzzaman, M., Tan, C., Bakar, A., & Ponniah, V. (2022) · Sustainability · doi:10.3390/su142013515 · Cited by 5
Research works printed but not linked: 1
- (2023, April 19). Scopus Scopus. Available online: https://service.elsevier.com/app/answers/detail/a_id/15534/supporthub/scopus/#tips.
Cited by
Escobar-Farfán, M., García-Salirrosas, E. E., Guerra-Velásquez, M., Veas-González, I., Gómez-Bayona, L., & Gallardo-Canales, R. (2025) · Nutrients · doi:10.3390/nu17071140 · Cited by 36
Adaptation and resilience in retail: Exploring consumer clusters in the new normal
Stanca, L. M., Dabija, D., & Câmpian, V. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.104112 · Cited by 31
Self-citationThe Use of Digital Channels in Omni-Channel Retail—An Empirical Study
Nagy, I. D., Dabija, D., Cramarenco, R. E., & Burcă-Voicu, M. I. (2024) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer19020042 · Cited by 31
Self-citationJi, C., Sheng, R., Wu, H., Zhou, Z., Yan, X., Dong, L., & Li, C.-H. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-14793-0 · Cited by 17
Mohamad, A. (2024) · Journal of Islamic Accounting and Business Research · doi:10.1108/jiabr-11-2023-0373 · Cited by 11
Metadata
- Authors
- Pop, R.-A., Dabija, D.-C., & Pocol, C. B.
- Affiliations
- Babeș-Bolyai University (RO)
- University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca (RO)
- Corresponding author
- Dabija, Dan-Cristian
- Pocol, Cristina Bianca
- Venue
- Foods
- Publisher
- MDPI AG
- Published
- 2024-01-13
- Volume
- 13
- Issue
- 2
- Pages
- 257
- ISSN
- 2304-8158 (ISSN-L)
- PMC
- PMC10815137
- OpenAlex
- W4390879978
- Cited by
- 12
- References
- 91
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 5
- FWCI
- 1.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Foods (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- CNCS-UEFISCDI (PNIII-RU-TE-2021-0795)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Social Sciences › Business, Management and Accounting › Strategy and Management › Supply Chain Resilience and Risk Management
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
- Keywords
- food retail, business resilience, COVID-19 pandemic, consumer purchasing behavior, food waste, food safety, supply chain management, retail strategy, research gaps
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
