The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry
Abstract
:1. Introduction
2. Literature Review
2.1. Sustainable Marketing
2.2. Green Marketing
2.3. Internet of Things and Internet of Everything
- The Industrial Internet (II), concerned with data of interest to industry;
- The Internet of People (IoP), especially social networks and connections among people;
- Internet of Services (IoS) [41].
3. Sustainable Marketing Based on IoE
- Green marketing (environmental layer of sustainable marketing): developing and promoting environmental sustainability in marketing and company strategy, as well as tactical and operational layers of management (e.g., business processes).
- Social marketing (social layer of sustainable marketing): using marketing tools, communication channels, etc., to encourage sustainable behavior, e.g., green lifestyle, no-waste lifestyle, or to build loyal customer groups identifying with a sustainable development idea, sustainable lifestyle, or sustainable consumerism ethos.
- Critical marketing (economic layer of sustainable marketing): achieving business goals while managing resources efficiently, e.g., closed-loop supply chain, circular economy idea, green (but profitable) innovations, and adjusting the marketing strategy and toolset to this approach.
- Community building means developing new communities focused on users of particular devices, allowing for publishing content on social media. It facilitates targeting the marketing content for those groups.
- The rise of conversational commerce keeps in touch with potential customers by using chatbots, intelligent assistants, and smart speakers. They allow shopping online, checking order status, and locating stores, restaurants, events, etc.
- Data availability: IoE devices generate a large amount of real-time data from many sources. Data availability will let marketers test out new ideas and tools for big data analysis.
- Predictive analysis: Tracking data from many data points requires ordering them, verification, analysis, and then prediction. Predictive analytics measures and analyzes users’ present and past purchase patterns, attitudes, behaviors, and location details and suggests their future choices. This will transform the company’s marketing into the proactive mode from the reactive mode.
- Personalization: Marketers use communication such as targeted email campaigns, videos, and product and push notifications to deliver a personalized marketing experience for all users of the application—former and potential customers. CRMs (Customer Relationship Management) can be practical tools to obtain the correct and complete data.
- Improved engagement: All the above elements provide an essential finding: IoE allows marketers to show highly relevant content to their audience. People are flooded by the information from online and offline channels throughout the day. Then, naturally, most of the ads are ignored. IoE devices may help marketers understand their audience pinpoint; marketers can reach them successfully with highly targeted content.
4. Method
4.1. Case Study
- Initial source review, defining the exact research problem;
- Choosing the FMCG industry;
- Choosing the research method;
- Designing the expert interview;
- Recruiting the experts;
- Conducting the interviews;
- Analysis of results;
- Preparing the report (paper), including discussing the results and theoretical and practical implications.
4.2. Expert Interview
4.3. Data Analysis
5. Results
6. Discussion
- The development of the Internet of Things;
- The development of the overall digitization of the global economy;
- The development of the dairy industry;
- Effects of sudden changes such as the COVID-19 pandemic;
- The development and growing impact of sustainable development, including sustainable marketing (and within it green marketing as well), in the life of residents and operations of companies;
- The development of the glocalization (globalization + localization) of production, customer demands, etc.
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Smart CRM | Smart Packaging | Smart Equipment in Homes | Predictive Social Media |
---|---|---|---|
83% | 79% | 79% | 82% |
81% | 78% | 82% | 82% |
84% | 78% | 81% | 83% |
80% | 76% | 81% | 80% |
84% | 80% | 79% | 83% |
82% | 76% | 82% | 81% |
81% | 76% | 82% | 80% |
81% | 78% | 82% | 82% |
83% | 78% | 82% | 84% |
82% | 76% | 82% | 82% |
79% | 77% | 80% | 82% |
80% | 76% | 80% | 81% |
82% | 77% | 81% | 84% |
84% | 77% | 81% | 84% |
83% | 79% | 79% | 81% |
80% | 76% | 82% | 82% |
79% | 77% | 80% | 84% |
81% | 79% | 79% | 84% |
80% | 78% | 81% | 83% |
80% | 75% | 79% | 80% |
79% | 79% | 80% | 80% |
81% | 75% | 81% | 82% |
84% | 75% | 79% | 82% |
81% | 79% | 82% | 84% |
83% | 75% | 82% | 81% |
81% | 79% | 81% | 83% |
84% | 78% | 80% | 81% |
79% | 78% | 80% | 82% |
83% | 78% | 81% | 84% |
81% | 79% | 82% | 82% |
81% | 76% | 81% | 84% |
80% | 75% | 79% | 80% |
82% | 80% | 82% | 83% |
79% | 80% | 80% | 81% |
80% | 80% | 79% | 80% |
80% | 78% | 79% | 82% |
84% | 76% | 82% | 80% |
80% | 78% | 82% | 80% |
79% | 78% | 80% | 82% |
80% | 77% | 81% | 83% |
References
- Han, H. Theory of green purchase behavior (TGPB): A new theory for sustainable consumption of green hotel and green restaurant products. Bus. Strateg. Environ. 2020, 29, 2815–2828. [Google Scholar] [CrossRef]
- Yu, J.; Park, J.; Lee, K.; Han, H. Can environmentally sustainable development and green innovation of hotels trigger the formation of a positive brand and price premium? Int. J. Environ. Res. Public Health 2021, 18, 3275. [Google Scholar] [CrossRef]
- Hamid, S.; Jameel, S.T. A Study of Green Marketing Practices in the Selected Ayurvedic Resorts of Kerala. In Global Developments in Healthcare and Medical Tourism; IGI Global: Hershey, PA, USA, 2019. [Google Scholar]
- Kasilingam, R. Opportunities and challenges in green marketing. Stud. Indian Place Names 2020, 1, 3412–3415. [Google Scholar]
- Szmelter, A. Sustainable development as a factor shaping logistics strategies in global supply chains. Gospod. Mater. Logistyka 2016, 1261, 773–784. [Google Scholar]
- Nosratabadi, S.; Mosavi, A.; Shamshirband, S.; Zavadskas, E.K.; Rakotonirainy, A.; Chau, K.W. Sustainable business models: A review. Sustainability 2019, 11, 1663. [Google Scholar] [CrossRef] [Green Version]
- Seretny, M.; Gaur, D. The Model of Sustainable Marketing as a Responsible Approach to Marketing in the Era of Industry 4.0. In Advances in Science, Technology and Innovation; Springer: Cham, Switzerland, 2020. [Google Scholar]
- Mohanraj, G.; Karthikeyan, P. Green marketing—New opportunities and challenges. Asian J. Res. Soc. Sci. Humanit. 2016, 6, 1238–1244. [Google Scholar] [CrossRef]
- Andrienko, G.; Gunopulos, D.; Ioannidis, Y.; Kalogeraki, V.; Katakis, I.; Morik, K.; Verscheure, O. Mining urban data (Part C). Inf. Syst. 2017, 64. [Google Scholar] [CrossRef]
- Caragliu, A.; del Bo, C.; Nijkamp, P. Smart cities in Europe. J. Urban Technol. 2011, 18, 65–82. [Google Scholar] [CrossRef]
- Hanssens, D.M. AI, Marketing Science and Sustainable Profit Growth. In The Future of Management in an AI World; Palgrave Macmillan: London, UK, 2020. [Google Scholar]
- Ziółkowska, M.J. Digital transformation and marketing activities in small and medium-sized enterprises. Sustainability 2021, 13, 2512. [Google Scholar] [CrossRef]
- Saura, J.R.; Palacios-Marqués, D.; Iturricha-Fernández, A. Ethical design in social media: Assessing the main performance measurements of user online behavior modification. J. Bus. Res. 2021, 129, 271–281. [Google Scholar] [CrossRef]
- Bhavana, A.; Thiruchanuru, S. Green marketing: Gap analysis in the decision making process of a green consumer. J. Bus. Manag. Soc. Sci. Res. 2018, 7, 50–57. [Google Scholar]
- Schmitt, J. Creating Sustainable Value by Closing the Green Gap. 2021. Available online: https://academ.escpeurope.eu/pub/IP%202021-41-EN.pdf (accessed on 7 October 2021).
- Weng, W.H. Internet of things utilization in marketing for competitive advantage: An organizational capability perspective. Proc. Int. Conf. Electron. Bus. 2020, 2020, 200–209. [Google Scholar]
- Saura, J.R.; Ribeiro-Soriano, D.; Palacios-Marqués, D. Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research. Ind. Mark. Manag. 2021, 98, 161–178. [Google Scholar] [CrossRef]
- Diez-Martin, F.; Blanco-Gonzalez, A.; Prado-Roman, C. Research challenges in digital marketing: Sustainability. Sustainability 2019, 11, 2839. [Google Scholar] [CrossRef] [Green Version]
- Saura, J.R.; Palos-Sanchez, P.; Herráez, B.R. Digital marketing for sustainable growth: Business models and online campaigns using sustainable strategies. Sustainability 2020, 12, 1003. [Google Scholar] [CrossRef] [Green Version]
- Fonseca, L.M.; Azevedo, A.L. COVID-19: Outcomes for global supply chains. Manag. Mark. Chall. Knowl. Soc. 2020, 15, 424–438. [Google Scholar] [CrossRef]
- Bamberger, V.; Nansé, F.; Schreiber, B.; Zintel, M. Logistics 4.0-Facing digitalization-driven disruption. Prism 2017, 38, 39. [Google Scholar]
- Bechtold, J.; Lauenstein, C.; Kern, A.; Bernhofer, L. Industry 4.0: The capgemini consulting view. Capgemini Consult. Digit. Transform. Supply Chain. 2011, 1–36. Available online: https://www.capgemini.com/consulting/wp-content/uploads/sites/30/2017/07/capgemini-consulting-industrie-4.0_0_0.pdf (accessed on 7 October 2021).
- Wilkinson, R.; Black, J.; Agnew, A.; Arnold, J.; Francolini, A.; Gardner, M.; Harder, A. Rethinking the value chain. Consum. Goods Forum 2015, 1, 48. [Google Scholar]
- Rowan, N.J.; Galanakis, C.M. Unlocking challenges and opportunities presented by COVID-19 pandemic for cross-cutting disruption in agri-food and green deal innovations: Quo Vadis? Sci. Total Environ. 2020, 748, 141362. [Google Scholar] [CrossRef]
- Eze, O.; Cherish, O.C. Achieving customer satisfaction through sustainable marketing strategies: A Qualitative analysis of three bread industries in Abakaliki Ebonyi State, Nigeria. Am. J. Multidiscip. Res. Dev. 2019, 1, 01–07. [Google Scholar]
- Suchanek, M.; Szmelter-Jarosz, A. Environmental aspects of generation Y’s sustainable mobility. Sustainability 2019, 11, 3204. [Google Scholar] [CrossRef] [Green Version]
- Marzouk, O.A. A qualitative examination of urban vs. rural sustainable consumption behaviours of energy and water consumers in the emerging Egyptian market. J. Humanit. Appl. Soc. Sci. 2019, 1. [Google Scholar] [CrossRef]
- Andronie, M.; Gârdan, D.A.; Dumitru, I.; Gârdan, I.P.; Andronie, I.E.; Uţă, C. Integrating the principles of green marketing by using big data. Good practices. Amfiteatru Econ. 2019, 21. [Google Scholar] [CrossRef]
- Burritt, R.L.; Christ, K.L.; Rammal, H.G.; Schaltegger, S. Multinational enterprise strategies for addressing sustainability: The need for consolidation. J. Bus. Ethics 2020, 164, 389–410. [Google Scholar] [CrossRef]
- Agustini, M.H.; Athanasius, S.S.; Retnawati, B.B. Identification of green marketing strategies: Perspective of a developing country. Innov. Mark. 2019, 15. [Google Scholar] [CrossRef] [Green Version]
- Shabbir, M.S.; Sulaiman, M.A.B.A.; Al-Kumaim, N.H.; Mahmood, A.; Abbas, M. Green marketing approaches and their impact on consumer behavior towards the environment—A study from the UAE. Sustainability 2020, 12, 8977. [Google Scholar] [CrossRef]
- Nieuwenhuijsen, M.J. Urban and transport planning, environmental exposures and health-new concepts, methods and tools to improve health in cities. Environ. Health Glob. Access Sci. Source 2016, 15, 161–171. [Google Scholar] [CrossRef] [Green Version]
- Muposhi, A.; Dhurup, M.; Surujlal, J. The green dilemma: Reflections of a GEneration Y consumer cohort on green purchase behaviour. J. Transdiscipl. Res. S. Afr. 2015, 11, 225–240. [Google Scholar] [CrossRef] [Green Version]
- Cabato, M.G.; Macadat, Y.; Bronola, F.B. Green Marketing: A Study on the Perception of CBA Students in PUP Manila; Polytechnic University of the Phillipines, College of Business Administration: Maynila, Philippines, 2020. [Google Scholar]
- Rejeb, A.; Simske, S.; Rejeb, K.; Treiblmaier, H.; Zailani, S. Internet of things research in supply chain management and logistics: A bibliometric analysis. Internet Things 2020, 12. [Google Scholar] [CrossRef]
- Tariq, B.; Taimoor, S.; Najam, H.; Law, R.; Hassan, W.; Han, H. Generating marketing outcomes through Internet of things (Iot) technologies. Sustainability 2020, 12, 9670. [Google Scholar] [CrossRef]
- Da Costa, V.C.F.; Oliveira, L.; de Souza, J. Internet of everything (IoE) taxonomies: A survey and a novel knowledge-based taxonomy. Sensors 2021, 21, 568. [Google Scholar] [CrossRef]
- Auger, A.; Exposito, E.; Lochin, E. Towards the Internet of Everything: Deployment Scenarios for a QoO-Aware Integration Platform. In Proceedings of the IEEE World Forum on Internet of Things, WF-IoT 2018—Proceedings, Singapore, 5–8 February 2018. [Google Scholar]
- Ilyas, M. Determining critical success factors for quality and accreditation through Delphi technique. Int. J. High. Educ. 2019, 8, 148–158. [Google Scholar] [CrossRef] [Green Version]
- Xu, G.; Shi, Y.; Sun, X.; Shen, W. Internet of things in marine environment monitoring: A review. Sensors 2019, 19, 1711. [Google Scholar] [CrossRef] [Green Version]
- Daú, G.; Scavarda, A.; Scavarda, L.F.; Portugal, V.J.T. The healthcare sustainable supply chain 4.0: The circular economy transition conceptual framework with the corporate social responsibility mirror. Sustainability 2019, 11, 3259. [Google Scholar] [CrossRef] [Green Version]
- Srinivasan, C.R.; Rajesh, B.; Saikalyan, P.; Premsagar, K.; Yadav, E.S. A review on the different types of Internet of things (IoT). J. Adv. Res. Dyn. Control Syst. 2019, 11, 154–158. [Google Scholar]
- Raj, A.; Prakash, S. Internet of Everything: A survey based on Architecture, Issues and Challenges. In Proceedings of the 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2018, Gorakhpur, India, 2–4 November 2018. [Google Scholar]
- Arseculeratne, D.; Yazdanifard, R. How green marketing can create a sustainable competitive advantage for a business. Int. Bus. Res. 2013, 7, 130–137. [Google Scholar] [CrossRef]
- Gordon, R.; Carrigan, M.; Hastings, G. A framework for sustainable marketing. Mark. Theory 2011, 11. [Google Scholar] [CrossRef]
- Yin, R.K. Case study research: Desing and methods. Appl. Soc. Res. Methods Ser. 2003, 5. [Google Scholar] [CrossRef]
- Madoranova, M.; Horvath, M. Multi-criteria decision matrix approach for supplier evaluation in micro and small organizations. Qual. Innov. Prosper. 2013, 17, 120–127. [Google Scholar] [CrossRef] [Green Version]
- Blome, C.; Schoenherr, T. Supply chain risk management in financial crises—A multiple case-study approach. Int. J. Prod. Econ. 2011, 134, 43–57. [Google Scholar] [CrossRef]
- Clift, R.; Druckman, A. Taking Stock of Industrial Ecology; Springer: Cham, Switzerland, 2016; ISBN 9783319205700. [Google Scholar]
- Bashir, H.; Jørgensen, S.; Jacob, L.; Pedersen, T.; Skard, S. Experimenting with sustainable business models in fast moving consumer goods. J. Clean. Prod. 2020, 270, 122302. [Google Scholar] [CrossRef]
- Kayikci, Y. Sustainability impact of digitization in logistics. Proc. Manuf. 2018, 21, 782–789. [Google Scholar] [CrossRef]
- Pfeiffer, C. The Internet of Things: A Marketing Tool for the Food Industry? Bachelor’s Thesis, University of Twente, Entschede, The Netherlands, 2018; pp. 1–15. [Google Scholar]
- Nozari, H.; Fallah, M.; Kazemipoor, H.; Najafi, S.E. Big data analysis of IoT-based supply chain management considering FMCG industries. Bus. Inform. 2021, 15. [Google Scholar] [CrossRef]
- Končar, J.; Grubor, A.; Marić, R.; Vučenović, S.; Vukmirović, G. Setbacks to IoT implementation in the function of FMCG supply chain sustainability during COVID-19 pandemic. Sustainability 2020, 12, 7391. [Google Scholar] [CrossRef]
- Eisenhardt, K.M. Theory building from cases: Opportunities and challenges. Acad. Manag. J. 2007, 50, 25–32. [Google Scholar] [CrossRef]
- Steenhuis, H.-J.; de Bruijn, E.J. Building Theories from Case Study Research: The Progressive Case Study. In Proceedings of the OM in the New World Uncertainties. In Proceedings of the 17th Annual Conference of POMS, (CD-ROM), Boston, MA, USA, 28 April–1 May 2006; pp. 1–13. [Google Scholar]
- Saliya, C.A. Doing qualitative case study research in business management. Case Stud. J. 2017, 6, 96–111. [Google Scholar]
- Kr Deshwal, G.; Raju Panjagari, N. Active and Intelligent Packaging of Cheese: Developments and Future Scope. In Food Packaging; IntechOpen: London, UK, 2021. [Google Scholar]
- Scimeca, J. COVID-19 and crisis planning: A learning experience. Dairy Foods 2020, 22. Available online: https://www.dairyfoods.com/articles/94285-covid-19-and-crisis-planning-a-learning-experience (accessed on 7 October 2021).
- Wang, J.; Yue, H. Food safety pre-warning system based on data mining for a sustainable food supply chain. Food Control 2017, 73. [Google Scholar] [CrossRef]
- Al-Zabidi, A.; Rehman, A.U.; Alkahtani, M. An approach to assess sustainable supply chain agility for a manufacturing organization. Sustainability 2021, 13, 1752. [Google Scholar] [CrossRef]
- Corbin, J.; Strauss, A. Grounded theory research: Procedures, canons, and evaluative criteria. Qual. Sociol. 1990, 13, 3–21. [Google Scholar] [CrossRef]
- Christopoulos, D.C. Peer Esteem Snowballing: A Methodology for Expert Surveys. In Proceedings of the Eurostat Conference for New Techniques and Technologies for Statistics; Eurostat: Brussels, Belgium, 2009; pp. 171–179. [Google Scholar]
- Trotter, R.T. Qualitative research sample design and sample size: Resolving and unresolved issues and inferential imperatives. Prev. Med. 2012, 55, 398–400. [Google Scholar] [CrossRef]
- Corbin, J.; Strauss, A. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory, 3rd ed.; Sage publications: New York, NY, USA, 2012. [Google Scholar]
- Egilman, D.; Druar, N.M. Spin your science into gold 1: Direct to consumer marketing within social media platforms. Work 2012, 41, 4494–4502. [Google Scholar] [CrossRef] [Green Version]
- Shokouhyar, S.; Pahlevani, N. Scenario analysis of smart, sustainable supply chain on the basis of a fuzzy cognitive map. Manag. Res. Rev. 2020, 43, 463–496. [Google Scholar] [CrossRef]
- Lee, B.; Cooper, R.; Hands, D.; Coulton, P. Design Drivers: A Critical Enabler to Meditate Value over the NPD Process within Internet of Things. In Proceedings of the Style Template for 4D Designing Development, Developing Design Conference, Osaka, Japan, 21–23 October 2019; pp. 1–12. Available online: https://eprints.lancs.ac.uk/id/eprint/139453/1/201910_4D_1_.pdf (accessed on 7 October 2021).
- Leonardi, S. Internet of Things (IoT) and Dairy Farm Automation. Ph.D. Thesis, Università degli Studi di Milano, Milan, Italy, 2014. [Google Scholar]
- Tian, F. An information System for Food Safety Monitoring in Supply Chains based on HACCP, Blockchain and Internet of Things. Ph.D. Thesis, WU Vienna University of Economics and Business, Vienna, Austria, 2018. [Google Scholar]
- Vate-u-lan, P.; Quigley, D.; Masoyras, P. Smart dairy farming through the Internet of Things (IoT). Asian Int. J. Soc. Sci. 2016, 17, 23–36. [Google Scholar] [CrossRef]
- Dabbaghi, Z.; Bahramimianrood, B. Selection of factors affecting the supply chain and green suppliers by the TODIM method in the dairy industry. J. Sci. Manag. Tour. 2021, 2021, 1–6. [Google Scholar]
- Fereday, J.; Muir-Cochrane, E. Demonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme development. Int. J. Qual. Methods 2006, 5, 80–92. [Google Scholar] [CrossRef]
- Alhojailan, M.I.; Ibrahim, M. Thematic analysis: A critical review of its process and evaluation. WEI Int. Eur. Acad. Proc. 2012, 1, 8–21. [Google Scholar]
- Kendall, J. Axial coding and the grounded theory controversy. West. J. Nurs. Res. 1999, 21, 743–757. [Google Scholar] [CrossRef]
- Awasthi, A.; Adetiloye, T.; Crainic, T.G. Collaboration partner selection for city logistics planning under municipal freight regulations. Appl. Math. Model. 2016, 40. [Google Scholar] [CrossRef]
- Lin, X.M.; Ho, C.H.; Xia, L.T. Analysis of image and molding of sharing bicycle frame in urban traffic efficiency based on fuzzy theory. Ekoloji Dergisi 2018, 27, 1161–1166. [Google Scholar]
- Zakeri, S.; Keramati, M.A. Systematic combination of fuzzy and grey numbers for supplier selection problem. Grey Syst. Theory Appl. 2015, 5, 313–343. [Google Scholar] [CrossRef]
- Guo, S.; Zhao, H. Fuzzy best-worst multi-criteria decision-making method and its applications. Knowl. Based Syst. 2017. [Google Scholar] [CrossRef]
- Nozari, H.; Najafi, E.; Fallah, M.; Lotfi, F.H. Quantitative analysis of key performance indicators of green supply chain in FMCG industries using non-linear fuzzy method. Mathematics 2019, 7, 1020. [Google Scholar] [CrossRef] [Green Version]
- Chen, T.; Wang, Y.-C.; Wu, H.-C. Analyzing the impact of vaccine availability on alternative supplier selection amid the COVID-19 pandemic: A cFGM-FTOPSIS-FWI approach. Healthcare 2021, 9, 71. [Google Scholar] [CrossRef]
- Hopkins, D. Can environmental awareness explain declining preference for car-based mobility amongst generation Y? A qualitative examination of learn to drive behaviours. Transp. Res. Part A Policy Pract. 2016, 94, 149–163. [Google Scholar] [CrossRef]
- Saurabh, S.; Dey, K. Blockchain technology adoption, architecture, and sustainable agri-food supply chains. J. Clean. Prod. 2021, 284. [Google Scholar] [CrossRef]
- Miranda, J.; Ponce, P.; Molina, A.; Wright, P. Sensing, smart and sustainable technologies for Agri-Food 4.0. Comput. Ind. 2019, 108. [Google Scholar] [CrossRef]
- Sani, M.A.; Azizi-Lalabadi, M.; Tavassoli, M.; Mohammadi, K.; McClements, D.J. Recent advances in the development of smart and active biodegradable packaging materials. Nanomaterials 2021, 11, 1331. [Google Scholar] [CrossRef]
- Karaman, A.D.; Özer, B.; Pascall, M.A.; Alvarez, V. Recent advances in dairy packaging. Food Rev. Int. 2015, 31. [Google Scholar] [CrossRef]
- Goh, S.H.; Woong, J.Y. Supply Chain Risk Management Strategies in the Face of COVID-19. In Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, Singapore, 7–11 March 2021. [Google Scholar]
- Zeinalizadeh, R.; Ebadati, E.O.M.; Jafari, M.A. Sustainable marketing strategy for smart energy networks based on implementation of general science and technology policies. Q. J. Macro Strateg. Policies 2021, 1–10. [Google Scholar] [CrossRef]
- Moradi, M. Importance of internet of things (IoT) in marketing research and its ethical and data privacy challenges. Bus. Ethics Leadersh. 2021, 5. [Google Scholar] [CrossRef]
- Romprasert, S.; Trivedi, A.; Trivedi, A. Sustainable economy on community enterprise and digital marketing. ABAC J. 2021, 41, 62–80. [Google Scholar]
- Miskiewicz, R. Internet of things in marketing: Bibliometric analysis. Mark. Manag. Innov. 2020, 3, 371–381. [Google Scholar] [CrossRef]
- Maiorescu, I.; Bucur, M.; Georgescu, B.; Moise, D.; Strat, V.A.; Zgura, I.D. Social media and IOT wearables in developing marketing strategies. Do SMEs differ from large enterprises? Sustainability 2020, 12, 7292. [Google Scholar] [CrossRef]
- Wilkesmann, M.; Wilkesmann, U. Industry 4.0—Organizing routines or innovations? VINE J. Inf. Knowl. Manag. Syst. 2018. [Google Scholar] [CrossRef]
- Pearson, M. Supply chain control towers are taking off. Logist. Manag. 2014, 53, 26–27. [Google Scholar]
- Khan, Z.; Lew, Y.K.; Park, B. Institutional legitimacy and norms-based CSR marketing practices: Insights from MNCs operating in a developing economy. Int. Mark. Rev. 2015, 32, 5. [Google Scholar] [CrossRef]
- Dillon, B. Marketing Travel to Millennials: Is Social Media the Ticket? University of Minnesota: Minneapolis, MN, USA, 2016; pp. 1–128. [Google Scholar]
- McDonald, N.C. Are millennials really the “go-Nowhere” Generation? J. Am. Plan. Assoc. 2015, 81, 90–103. [Google Scholar] [CrossRef]
- Haustein, S.; Klöckner, C.A.; Blöbaum, A. Car use of young adults: The role of travel socialization. Transp. Res. Part F Traffic Psychol. Behav. 2009, 12, 168–178. [Google Scholar] [CrossRef]
- Siren, A.; Haustein, S. Baby boomers’ mobility patterns and preferences: What are the implications for future transport? Transp. Policy 2013, 29, 136–144. [Google Scholar] [CrossRef] [Green Version]
- Kang, J.; Diao, Z.; Zanini, M.T. Business-to-business marketing responses to COVID-19 crisis: A business process perspective. Mark. Intell. Plan. 2020. [Google Scholar] [CrossRef]
Criteria | Sub-Criteria |
---|---|
Technological factors | Usefulness |
Reliability | |
Cost efficiency | |
Standardization | |
Market factors | Demand |
User acceptance | |
Business models | |
Building ecosystem | |
Legal factors | Industry-specific |
Consumer protection-specific | |
Government-specific |
Gender | Age Range | Occupational Status | ||||
---|---|---|---|---|---|---|
Male | Female | 28–35 | 36–45 | Marketing Director | IT Manager | Marketer |
25 | 15 | 29 | 11 | 15 | 11 | 14 |
Factor | Area of Impact |
---|---|
Performance | Smart CRM |
Smart packaging | |
Smart equipment in homes | |
Predictive social media | |
Activity | Smart CRM |
Smart packaging | |
Smart equipment in homes | |
Predictive social media | |
Facilitation | Smart CRM |
Smart packaging | |
Smart equipment in homes | |
Predictive social media |
Linguistic Variable | Fuzzy Triangular Numbers |
---|---|
Very little | (0, 0, 0.25) |
Low | (0, 0.25, 0.5) |
Medium | (0.25, 0.5, 0.75) |
High | (0.5, 0.75, 1) |
Very high | (0.75, 1, 1) |
Factor | Area of Impact | Impact Rate |
---|---|---|
Performance | Smart CRM | 80% |
Smart packaging | 75% | |
Smart equipment in homes | 85% | |
Predictive social media | 75% | |
Activity | Smart CRM | 82% |
Smart packaging | 80% | |
Smart equipment in homes | 81% | |
Predictive social media | 90% | |
Facilitation | Smart CRM | 81% |
Smart packaging | 80% | |
Smart equipment in homes | 78% | |
Predictive social media | 82% |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Nozari, H.; Szmelter-Jarosz, A.; Ghahremani-Nahr, J. The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry. Future Internet 2021, 13, 266. https://doi.org/10.3390/fi13100266
Nozari H, Szmelter-Jarosz A, Ghahremani-Nahr J. The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry. Future Internet. 2021; 13(10):266. https://doi.org/10.3390/fi13100266
Chicago/Turabian StyleNozari, Hamed, Agnieszka Szmelter-Jarosz, and Javid Ghahremani-Nahr. 2021. "The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry" Future Internet 13, no. 10: 266. https://doi.org/10.3390/fi13100266
APA StyleNozari, H., Szmelter-Jarosz, A., & Ghahremani-Nahr, J. (2021). The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry. Future Internet, 13(10), 266. https://doi.org/10.3390/fi13100266