Multiple emerging technologies both threaten grocers and offer them attractive opportunities to enhance their value propositions, improve processes, reduce costs, and therefore generate competitive advantages. Among the variety of technological innovations and considering the scarcity of resources, it is unclear which technologies to focus on and where to implement them in the value chain. To develop the most probable technology forecast that addresses the application of emerging technologies in the grocery value chain within the current decade, we conduct a two-stage Delphi study. Our results suggest a high relevance of almost all technologies. The panel is only skeptical about three specific projections. As a consequence, grocers are advised to build up knowledge regarding the application of these technologies in the most promising areas of their value chain.

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References

Aguirre, E. M., Mahr, D., Grewal, D., de Ruyter, K. and Wetzels, M. [2015] Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing, 91, 1: 34–49. Crossref, Google Scholar
Ahn, J., Williamson, J., Gartrell, M., Han, R., Lv, Q. and Mishra, S. [2015] Supporting healthy grocery shopping via mobile augmented reality. ACM Transactions on Multimedia Computing, Communications, and Applications, 12, 1s: 1–24. Crossref, Google Scholar
Balaji, M. S. and Roy, S. K. [2017] Value co-creation with Internet of things technology in the retail industry. Journal of Marketing Management, 33, 1–2: 7–31. Crossref, Google Scholar
Barata-Salgueiro, T. and Erkip, F. [2014] Retail planning and urban resilience. Cities, 36: 107–111. Crossref, Google Scholar
Battisti, S. and Brem, A. [2020] Digital entrepreneurs in technology-based spinoffs: An analysis of hybrid value creation in retail public–private partnerships to tackle showrooming. Journal of Business & Industrial Marketing, in press. https://doi.org/10.1108/JBIM-01-2020-0051 Crossref, Google Scholar
Bican, P. M. and Brem, A. [2020] Digital business model, digital transformation, digital entrepreneurship: Is there a sustainable “digital”? Sustainability, 12, 13: 5239. Crossref, Google Scholar
Bonaccorsi, M., Betti, S., Rateni, G., Esposito, D., Brischetto, A., Marseglia, M., Dario, P. and Cavallo, F. [2017] ‘HighChest’: An augmented freezer designed for smart food management and promotion of eco-efficient behavior. Sensors, 17, 6: 1357. Crossref, Google Scholar
Bouncken, R. B., Kraus, S. and Roig-Tierno, N. [2019] Knowledge- and innovation-based business models for future growth: Digitalized business models and portfolio considerations. Review of Managerial Science, in press. https://doi.org/10.1007/s11846-019-00366-z Google Scholar
Bradlow, E. T., Gangwar, M., Kopalle, P. and Voleti, S. [2017] The role of big data and predictive analytics in retailing. Journal of Retailing, 93, 1: 76–96. Crossref, Google Scholar
Breier, M., Kallmünzer, A., Clauß, T., Gast, J., Kraus, S. and Tiberius, V. [2021] The role of business model innovation in the hospitality industry during the COVID-19 crisis. International Journal of Hospitality Management, 92: 102723. Crossref, Google Scholar
Chen, C. C., Huang, T. C., Park, J. J., Tseng, H. H. and Yen, N. Y. [2014] A smart assistant toward product-awareness shopping. Personal and Ubiquitous Computing, 18, 2: 339–349. Crossref, Google Scholar
Christidis, K. M. and Devetsikiotis, M. [2016] Blockchains and smart contracts for the Internet of Things. IEEE Access, 4: 2292–2303. Crossref, Google Scholar
Clarke, G., Thompson, C. and Birkin, M. [2015] The emerging geography of e-commerce in British retailing. Regional Studies, Regional Science, 2, 1: 371–391. Crossref, Google Scholar
Clarke, I., Hallsworth, A., Jackson, P., de Kervenoael, R., del Aguila, R. P. and Kirkup, M. [2006] Retail restructuring and consumer choice 1. Long-term local changes in consumer behaviour: Portsmouth, 1980–2002. Environmental Planning A: Economy and Space, 38, 1: 25–45. Crossref, Google Scholar
Clodfelter, R. [2010] Biometric technology in retailing: Will consumers accept fingerprint authentication? Journal of Retailing and Consumer Services, 17, 3: 181–188. Crossref, Google Scholar
Collier, J. E., Moore, R. S. M., Horky, A. and Moore, M. L. [2015] Why the little things matter: Exploring situational influences on customers’ self-service technology decisions. Journal of Busines Research, 68, 3: 703–710. Crossref, Google Scholar
Collins, A. M., Cronin, J. M., Burt, S. and George, R. J. [2015] From store brands to store brandscapes: The emergence of a time and money saving heuristic. European Journal of Marketing, 49, 5/6: 894–918. Crossref, Google Scholar
Costa Pinto, D., Nique, W. M., Maurer Herter, M. and Borges, A. [2016] Green consumers and their identities: How identities change the motivation for green consumption. International Journal of Consumer Studies, 40, 6: 742–753. Crossref, Google Scholar
Cruz, E., Orts-Escolano, S., Gomez-Donoso, F., Rizo, C., Rangel, J. C., Mora, H. and Cazorla, M. [2019] An augmented reality application for improving shopping experience in large retail stores. Virtual Reality, 23: 281–291. Crossref, Google Scholar
Djelassi, S., Diallo, M. F. and Zielke, S. [2018] How self-service technology experience evaluation affects waiting time and customer satisfaction? A moderated mediation model. Decision Support Systems, 111: 38–47. Crossref, Google Scholar
Dodgson, M., Gann, D., Wladawsky-Berger, I., Sultan, N. and George, G. [2015] Managing digital money. Academy of Management Journal, 58, 2: 325–333. Crossref, Google Scholar
Ecken, P., Gnatzy, T. and von der Gracht, H. A. [2011] Desirability bias in foresight: Consequences for decision quality based on Delphi results. Technological Forecasting and Social Change, 78, 9: 1654–1670. Crossref, Google Scholar
Flostrand, A. [2017] Finding the future: Crowdsourcing versus the Delphi technique. Business Horizons, 60: 229–236. Crossref, Google Scholar
Flostrand, A., Pitt, L. and Bridson, S. [2020] The Delphi Technique in Forecasting — A 42-Year Bibliographic Analysis (1975–2017). Technological Forecasting and Social Change, 150: 119773. Crossref, Google Scholar
Fiore, A. M., Kim, J. and Lee, H. H. [2005] Effect of image interactivity technology on consumer responses toward the online retailer. Journal of Interactive Marketing, 19, 3: 38–53. Crossref, Google Scholar
Foroudi, P., Gupta, S., Sivarajah, U. and Broderick, A. [2018] Investigating the effects of smart technology on customer dynamics and customer experience. Computers in Human Behavior, 80: 271–282. Crossref, Google Scholar
Fullerton, S., Brooksbank, R. and Neale, L. [2017] Consumer perspectives on the ethics of an array of echnology-based marketing strategies: An exploratory study. Asia Pacific Journal of Marketing and Logistics, 29, 5: 1079–1096. Crossref, Google Scholar
George, R. J. [2005] Supermarket shopping: What is this thing called customer service? Journal of Food Production and Marketing, 11, 2: 1–20. Crossref, Google Scholar
Giones, F. and Brem, A. [2017] From toys to tools: The co-evolution of technological and entrepreneurial developments in the drone industry. Business Horizons, 60, 6: 875–884. Crossref, Google Scholar
Goldmanis, M., Hortacsu, A., Syverson, C. and Emre, O. [2010] E-Commerce and the market structure of retail industries. The Economic Journal, 120, 545: 651–682. Crossref, Google Scholar
Goodman, C. [1987] The Delphi technique: A critique. Journal of Advanced Nursing, 12, 6: 729–734. Crossref, Google Scholar
Graefe, A. and Armstrong, J. S. [2011] Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task. International Journal of Forecasting, 27, 1: 183–195. Crossref, Google Scholar
Grewal, D., Roggeveen, A. L. and Nordfält, J. [2017] The future of retailing. Journal of Retailing, 93, 1: 1–6. Crossref, Google Scholar
Groß, M. [2015] Exploring the acceptance of technology for mobile shopping: An empirical investigation among Smartphone users. International Review of Retail, Distribution and Consumer Research, 25, 3: 215–235. Google Scholar
Guderian, C. C., Bican, P. M., Riar, F. J. and Chattopadhyay, S. [2020] Innovation management in emergencies: Patent analytics as a solution to overcome the Covid-19 pandemic crisis. R&D Management Journal, in press, https://doi.org/10.1111/radm.12447. Google Scholar
Harrison, A., Mennecke, B. and Peters, A. [2014] Marketing avatars revisited: A commentary on facial recognition and embodied representations in consumer profiling. Business Horizons, 57, 1: 21–26. Crossref, Google Scholar
Hill, K. Q. and Fowles, J. [1975] The methodological worth of the Delphi forecasting technique. Technological Forecasting and Social Change, 7, 1: 179–192. Crossref, Google Scholar
Höhne, S. and Tiberius, V. [2020] Powered by blockchain: Forecasting blockchain use in the electricity market. International Journal of Energy Sector Management, 14, 6: 1221–1238. Crossref, Google Scholar
Hommel, K. and Bican, P. M. [2020] Digital entrepreneurship in finance: Fintechs and funding decision criteria. Sustainability, 12, 19: 8035. Crossref, Google Scholar
Hong, I., Kuby, M. and Murray, A. [2017] A deviation flow refueling location model for continuous space: A commercial drone delivery system for urban areas. Advances in Geocomputation, eds. D. A. Griffith, Y. Chun and D. J. Dean. Springer, Cham, Switzerland, pp. 125–132. Crossref, Google Scholar
Inman, J. J. and Nikolova, H. [2017] Shopper-facing retail technology: A retailer adoption decision framework incorporating shopper attitudes and privacy concerns. Journal of Retailing, 93, 1: 7–28. Crossref, Google Scholar
Islam, M. A. and Deegan, C. [2010] Media pressures and corporate disclosure of social responsibility performance information: A study of two global clothing and sports retail companies. Accounting and Business Research, 40, 2: 131–148. Crossref, Google Scholar
Isley, S. C., Ketcham, R. and Arent, D. J. [2017] Using augmented reality to inform consumer choice and lower carbon footprints. Environmental Research Letters, 12, 6: 1–8. Crossref, Google Scholar
Jiang, R., Kleer, R. and Piller, F. T. [2017] Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030. Technological Forecasting and Social Change, 117: 84–97. Crossref, Google Scholar
Jocevski, M., Ghezzi, A. and Arvidsson, N. [2020] Exploring the growth challenge of mobile payment platforms: A business model perspective. Electronic Commerce Research and Applications, 40: 100908. Crossref, Google Scholar
Kaplan, J. [2015] Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence. Yale University Press, New Haven, CT. Google Scholar
Keller, J. and von der Gracht, H. A. [2014] The influence of information and communication technology (ICT) on future foresight processes — Results from a Delphi survey. Technological Forecasting and Social Change, 85: 81–92. Crossref, Google Scholar
Kraus, S., Clauß, T., Breier, M., Gast, J., Zardini, A. and Tiberius, V. [2020] The economics of COVID-19: Initial empirical evidence on how family firms in five European countries cope with the corona crisis. International Journal of Entrepreneurial Behavior & Research, 26, 5: 1067–1092. Crossref, Google Scholar
Kraus, S., Palmer, C., Kailer, N., Kallinger, F. L. and Spitzer, J. [2018] Digital entrepreneurship: A research agenda on new business models for the twenty-first century. International Journal of Entrepreneurial Behavior & Research, in press. https://doi.org/10.1108/IJEBR-06-2018-0425 Crossref, Google Scholar
Kraus, S., Roig-Tierno, N. and Bouncken, R. B. [2019] Digital innovation and venturing: An introduction into the digitalization of entrepreneurship. Review of Managerial Science, 13, 519–528. Crossref, Google Scholar
Lee, I. and Lee, K. [2015] The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58, 4: 431–440. Crossref, Google Scholar
Lee, H. J. and Lyu, J. [2016] Personal values as determinants of intentions to use self-service technology in retailing. Computers in Human Behavior, 60, 322–332. Crossref, Google Scholar
Lee, J., Hwang, S., Lee, J. and Kang, S. [2020] Comparative performance characterization of mobile AR frameworks in the context of AR-based grocery shopping applications. Applied Sciences, 10: 1547. Crossref, Google Scholar
Li, W., Hardesty, D. M. and Craig, A. W. [2018] The impact of dynamic bundling on price fairness perceptions. Journal of Retailing and Consumer Services, 40, 204–212. Crossref, Google Scholar
McKenzie, B. and Taylor, V. [2016] The use of electronic shelf labels in the retail food sector. International Journal of Economics and Management, 10, 2: 627–630. Google Scholar
McNeish, D. M. and Stapleton, L. M. [2016] The effect of small sample size on two-level model estimates: A review and illustration. Educational Psychology Review, 28, 2: 295–314. Crossref, Google Scholar
Melander, L., Dubois, A., Hedvall, K. and Lind, F. [2019] Future goods transport in Sweden 2050: Using a Delphi-based scenario analysis. Technological Forecasting and Social Change, 138: 178–189. Crossref, Google Scholar
Miorandi, D., Sicari, S., De Pellegrini, F., and Chlamtac, I. [2012] Internet of Things: Vision, applications and research challenges. Ad Hoc Networks, 10, 7: 1497–1516. Crossref, Google Scholar
Nikolaus, C. J., Muzaffar, H. and Nickols-Richardson, S. M. [2016] Grocery store (or supermarket) tours as an effective nutrition education medium: A systematic review. Journal of Nutrition Education and Behavior, 48, 8: 544–554. Crossref, Google Scholar
Nilsson, E., Gärling, T., Marell, A. and Nordvall, A. C. [2015] Importance ratings of grocery store attributes. International Journal of Retail & Distribution Management, 43, 1: 63–91. Crossref, Google Scholar
Ooi, K. B. and Tan, G. W. H. [2016] Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card. Expert Systems with Applications, 59: 33–46. Crossref, Google Scholar
Orel, F. D. and Kara, A. [2014] Supermarket self-checkout service quality, customer satisfaction, and loyalty: Empirical evidence from an emerging market. Journal of Retailing and Consumer Services, 21, 2: 118–129. Crossref, Google Scholar
Pantano, E. [2014] Innovation drivers in retail industry. International Journal of Information Management, 34, 3: 344–350. Crossref, Google Scholar
Pantano, E. and Naccarato, G. [2010] Entertainment in retailing: The influences of advanced technologies. Journal of Retailing and Consumer Services, 17, 3: 200–204. Crossref, Google Scholar
Parente, R. and Anderson-Parente, J. [2011] A case study of long-term Delphi accuracy. Technological Forecasting and Social Change, 78, 9: 1705–1711. Crossref, Google Scholar
Pilkington, M. [2016] Blockchain technology: Principles and applications. Research Handbook on Digital Transformations, eds. F.-J. Olleros and M. Zhegu, Edward Elgar, Cheltenham, UK, pp. 225–253. Crossref, Google Scholar
Poushneh, A. and Vasquez-Parraga, A. Z. [2017] Discernible impact of augmented reality on retail customer’s experience, satisfaction and willingness to buy. Journal of Retailing and Consumer Services, 34: 229–234. Crossref, Google Scholar
Prater, E. and Frazier, G. V. [2005] Future impacts of RFID on e-supply chains in grocery retailing. Supply Chain Management, 10, 2: 134–142. Crossref, Google Scholar
Priporas, C. V., Stylos, N. and Fotiadis, A. K. [2017] Generation Z consumers’expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77: 374–381. Crossref, Google Scholar
Prommer, L., Tiberius, V. and Kraus, S. [2020] Exploring the future of startup leadership development. Journal of Business Venturing Insights, 14, e00200. Crossref, Google Scholar
Queiroz, M. M., Telles, R. and Bonilla, S. H. [2019] Blockchain and supply chain management integration: a systematic review of the literature. Supply Chain Management, 25, 2: 241–254. Crossref, Google Scholar
Ramanathan, U., Subramanian, N. and Parrott, G. [2017] Role of social media in retail network operations and marketing to enhance customer satisfaction. International Journal of Retailing and Distribution Management, 37, 1: 105–123. Google Scholar
Rehman, M. A. A. and Shrivastava, R. L. [2011] An innovative approach to evaluate green supply chain management (GSCM) drivers by using interpretive structural modeling (ISM). International Journal of Innovation and Technology Management, 8, 2: 315–336. Link, Google Scholar
Ro, Y. K., Brem, A. and Rauschnabel, P. A. [2018] Augmented reality smart glasses: Definition, concepts and impact on firm value creation. Augmented Reality and Virtual Reality. Progress in IS. eds. T. Jung and M. Tom Dieck. Springer, Cham, pp. 169–181. Crossref, Google Scholar
Roßmann, B., Canzaniello, A., von der Gracht, H. and Hartmann, E. [2018] The future and social impact of Big Data Analytics in supply chain management: Results from a Delphi. Technological Forecasting and Social Change, 130: 135–149. Crossref, Google Scholar
Rowe, G. and Wright, G. [1999] The Delphi technique as a forecasting tool: Issues and analysis. International Journal of Forecasting, 15, 4: 353–375. Crossref, Google Scholar
Roy, S. K., Balaji, M. S., Quazi, A. and Quaddus, M. [2018] Predictors of customer acceptance of and resistance to smart technologies in the retail sector. Journal of Retailing and Consumer Services, 42: 147–160. Crossref, Google Scholar
Saarijärvi, H., Mitronen, L. and Yrjölä, M. [2014] From selling to supporting–Leveraging mobile services in the context of food retailing. Journal of Retailing and Consumer Services, 21, 1: 26–36. Crossref, Google Scholar
Sackman, H. [1975] Summary evaluation of Delphi. Policy Analysis, 1, 4: 693–718. Google Scholar
Saritas, O. and Oner, M. A. [2004] Systemic analysis of UK foresight results: Joint application of integrated management model and roadmapping. Technological Forecasting and Social Change, 71, 1–2: 27–65. Crossref, Google Scholar
Schwark, N., Tiberius, V. and Fabro, M. [2020] How will we dine? Prospective shifts in international haute cuisine and innovation beyond kitchen and plate. Foods, 9, 10: 1369. Crossref, Google Scholar
Sengupta, S., Kim, J. and Kim, S. D. [2018] Forecasting new features and market adoption of wearable sevices using TRIZ and growth curves: Case of fitness tracking products. International Journal of Innovation and Technology Management, 15, 1: 1850009. Link, Google Scholar
Swilley, E. [2010] Technology rejection: The case of the wallet phone. Journal of Consumer Marketing, 27, 4: 304–312. Crossref, Google Scholar
Taylor, E. [2016] Mobile payment technologies in retail: A review of potential benefits and risks, International Journal of Retailing and Distribution Management, 44, 2: 159–177. Crossref, Google Scholar
Thakur, M. S. and Ragavan, K. V. [2013] Biosensors in food processing. Journal of Food Science and Technolology, 50, 4: 625–641. Crossref, Google Scholar
Tiberius, V. [2020] Scenarios in the strategy process: A framework of affordances and constraints, European Journal of Futures Research, 7: 7. Crossref, Google Scholar
Tiberius, V. [2011] Towards a ‘Planned Path Emergence’ View on Future Genesis. Journal of Futures Studies, 15, 4: 9–24. Google Scholar
Tiberius, V. and Hirth, S. [2019] Impacts of digitization on auditing: A Delphi study for Germany. Journal of International Accounting, Auditing and Taxation, 37: 100288. Crossref, Google Scholar
Tiberius, V., Borning, J. and Seeler, S. [2019] Setting the table for meat consumers: An international Delphi study on in vitro meat. npj Science of Food, 3: 10. Crossref, Google Scholar
Tiberius, V., Schwarzer, H. and Roig-Dobón, S. [2020] Radical innovations: Between established knowledge and future research opportunities, Journal of Innovation & Knowledge, in press. https://doi.org/10.1016/j.jik.2020.09.001 Crossref, Google Scholar
Tiberius, V., Siglow, C. and Sendra-García, J. [2020] Scenarios in business and management: The current stock and research opportunities. Journal of Business Research, 121: 235–242. Crossref, Google Scholar
von der Gracht, H. A. and Darkow, I.-L. [2010] Scenarios for the logistics services industry: A Delphi-based analysis for 2025. International Journal of Production Economics, 127, 1: 45–59. Crossref, Google Scholar
White, G. R. T. [2017] Future applications of blockchain in business and management: A Delphi study. Strategic Change, 26, 5: 439–451. Crossref, Google Scholar
Willems, K., Smolders, A., Brengman, M., Luyten, K. and Schöning, J. [2017] The path-to-purchase is paved with digital opportunities: An inventory of shopper-oriented retail technologies. Technological Forecasting and Social Change, 124: 228–242. Crossref, Google Scholar
Woudenberg, F. [1991] An Evaluation of Delphi. Technological Forecasting and Social Change, 40, 2: 131–150. Crossref, Google Scholar
Wrigley, N. and Currah, A. [2006] Globalizing retail and the ‘new e-conomy’: The organizational challenge of e-commerce for the retail TNCs. Geoforum, 37, 3: 340–351. Crossref, Google Scholar