Sustainability in footwear industry: a big data analysis
Purpose of the paper: The work aims to achieve a twofold objective: highlight, through a big data analysis, the consumers’ perception about sustainability in the footwear context and provide useful considerations regarding the opportunities for companies to adequately manage the decision-making process in order to maximize the benefits and minimize the risks deriving from the definition and implementation of sustainability-oriented business strategies.
Methodology: A text analytics study has been performed to understand the main variables that people consider when adopting their shoe purchasing behavior. In particular, the collection of the people’s opinions has taken place on Twitter, a well-known and widespread social network community.
Findings: According to the big data analysis carried out, sustainability is ranked last among the factors capable of orienting the consumers’ purchasing choice, as demonstrated by the only 1311 posts on Twitter.
Research limits: The automated collection of people’s posts has prevented from going deeper in understanding their real ideas about variables more capable of orienting their shoe purchasing behavior.
Practical implications: The study suggests the importance to enhance managerial meta-capabilities for those footwear companies that are actively engaged in corporate sustainability. The systematic analysis of points of view, preferences and expectations would allow the development of innovative eco-value propositions in terms of both products (i.e. environmentally friendly shoes) and services (i.e. reverse logistics).
Originality of the paper: The paper is based on an innovative technique of data analysis, carried out by means of a web crawler, software for automatically identifying, collecting and classifying a big number of terms, capable of facilitating the understanding of the investigated phenomenon.
ARNOULD E.J., PRICE L., ZINKHAN G.M. (2002), Consumers, McGraw-Hill, New York.
ATZORI L., IERA A., MORABITO G. (2010), “The internet of things: a survey”, Computer Networks, vol. 54, n. 15, pp. 2787-2805.
AVITA K., WAZID M., GOUDAR R.H. (2013), “Big data: issues, challenges, tools and good practices”, Sixth International Conference on IEEE.
BACCARANI C. (2016), “L’impresa Pedrollo Spa tra innovazione, tecnologia e sostenibilità”, Sinergie, vol. 33, n. 98, pp. 61-65.
BACCIANELLA S., ESULI A., SEBASTIANI F. (2010), “SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining”, LREC, vol. 10, pp. 2200-2204.
BEYER M.A., LANEY D. (2012), The Importance of “Big data”: A Definition, Gartner, Stamford.
BLY S., GWOZDZ W., REISCH L.A. (2015), “Exit from the high street: An exploratory study of sustainable fashion consumption pioneers”, International Journal of Consumer Studies, vol. 39, n. 2, pp. 125-135.
BROWN B., CHUI M., MANYIKA J. (2011), “Are you ready for the era of ‘big data”, McKinsey Quarterly, vol. 4, n. 1, pp. 24-35.
BRUNDTLAND G.H. (1987), Report of the World Commission on environment and development: “our common future”, United Nations.
BRUNETTI F., CASSIA F., UGOLINI M. (2013), “Evidenze da una destinazione ad alta intensità turistica: il caso Gardaland tra insostenibilità presunta e sustainability in use”, in Franch M., Martini U. (Eds.), Management per la sostenibilità dello sviluppo turistico e la competitività delle destinazioni, Il Mulino, Bologna.
BRYNJOLFSSON E., HITT L.M., KIM H.H. (2011), Strength in numbers: How does data-driven decision making affect firm performance?, Working paper, SSRN working paper. Available at SSRN: http://ssrn.com/abstract = 1819486
BRYNJOLFSSON E., MCELHERAN K. (2016), “Digitization and innovation the rapid adoption of data-driven decision-making”, The American Economic Review, vol. 106, n. 5, pp. 133-139.
CHANG F.J., CHANG Y.T. (2006), “Adaptive neuro-fuzzy inference system for prediction of water level in reservoir”, Advances in Water Resources, vol. 29, n.1, pp.1-10.
CHO J., JOO H.H., KANG H.G. (2013), “Analysis of Consumer Buying Behavior: Price Discounts through Consumption Patterns of In-stant Ramen”, Journal of Economic Research, vol. 18, n. 1, pp. 35-88.
CIASULLO M.V., MAIONE G., TORRE C., TROISI O. (2017), “What about Sustainability? An Empirical Analysis of Consumers’ Purchasing Behavior in Fashion Context”, Sustainability, vol. 9, n. 9, pp. 1617-1635.
CIASULLO M.V., CARDINALI S., COSIMATO S. (2017), “A strenuous path for sustainable supply chains in the footwear industry: A business strategy issue”, Journal of Global Fashion Marketing, vol. 8, n. 2, pp. 143-162.
CIASULLO M.V., TROISI O., LOIA F., MAIONE G. (2018), “Carpooling: travelers’ perceptions from a big data analysis”, The TQM Journal, vol. 30, n. 5, pp. 554-571.
COHEN M.J., GARRETT J.L. (2010), “The food price crisis and urban food (in) security”, Environment and Urbanization, vol. 22, n. 2, pp. 467-482.
COHEN B., MUNOZ P. (2016), “Sharing cities and sustainable consumption and production: towards an integrated framework”, Journal of Cleaner Production, vol. 134, n. 30, pp. 87-97.
COYLE K. (2006) “Mass digitization of books”, The Journal of Academic Librarianship, vol. 32, n. 6, pp. 641-645.
CRICELLI L., GRIMALDI M. (2008), “A dynamic view of knowledge and information: a stock and flow based methodology”, International Journal of Management and Decision Making, vol. 9, n. 6, pp. 686-698.
DANAH B., CRAWFORD K. (2012), “Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon”, Information, Communication and Society, vol. 15, n. 5, pp. 662-679.
DEATON A., MUELLBAUER J. (1980), Economics and consumer behavior, Cambridge university press, London.
DEDEKE A.N. (2016), “Travel web-site design: Information task-fit, service quality and purchase intention”, Tourism Management, vol. 54, n. 1, pp. 541-554.
DEGERATU A.M., RANGASWAMY A., WU J. (2000), “Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes”, International Journal of Research in Marketing, vol. 17, n. 1, pp. 55-78.
DENECKE K. (2008), “Using sentiwordnet for multilingual sentiment analysis”, in Data Engineering Workshop ICDEW 2008, IEEE 24th International Conference, IEEE, United States, pp. 507-512.
DOUGLAS A. (2015), “TQM and Sustainability”, Sinergie, vol. 33, n. 97, pp. 213-215
EDEN S. (2017), “Blurring the boundaries: Prosumption, circularity and online sustainable consumption through Freecycle”, Journal of Consumer Culture, vol. 17, n. 2, pp. 265-285.
ENGELMAN R. (2013), “Beyond sustainable”, in State of the World 2013 (pp. 3-16), Island Press/Center for Resource Economics.
ERSEN A. (2000), Value for money drivers in the private finance initiative, Arthur Andersen and Company, London.
ESTRIN D., CULLER D., PISTER K. SUKHATME G. (2002), “Connecting the physical world with pervasive networks”, IEEE Pervasive Computing, vol. 1, n. 1, pp. 59-69.
FORNASIERO R., FRANCHINI V., CARPANZANO E. (2011), “A Reference Model for Sustainable and Collaborative Supply Chain of small series production in Textile, Clothing and Footwear Industry”, 44th CIRP Conference on Manufacturing Systems, 31 May 31 - 3 June 2011, Madison, USA.
FOSTER P., FAWCETT T. (2013), “Data science and its relationship to big data and data-driven decision making”, Big Data, vol. 1, n. 1, pp. 51-59.
FUCHS D., DI GIULIO A., GLAAB K., LOREK S., MANIATES M., PRINCEN T., RØPKE, I. (2016), “Power: the missing element in sustainable consumption and absolute reductions research and action”, Journal of Cleaner Production, vol. 132, n. 28, pp. 298-307.
GEELS F.W., MCMEEKIN A., MYLAN J., SOUTHERTON D. (2015), “A critical appraisal of Sustainable Consumption and Production research: The reformist, revolutionary and reconfiguration positions”, Global Environmental Change, vol. 34, n. 5, pp. 1-12.
GOLINELLI G.M., BARILE S., SAVIANO M., FARIOLI F., MASARU Y. (2015), “Towards a common framework for knowledge co-creation: opportunities of collaboration between Service Science and Sustainability Science”, in Service Dominant Logic, Network and Systems Theory and Service Science: Integrating three Perspectives for a New Service Agenda, pp. 1-30.
GUILLAUME S. (2001), “Designing fuzzy inference systems from data: An interpretability-oriented review”, IEEE Transactions on Fuzzy Systems, vol. 9, n. 3, pp.426-443.
HARRISON E.F. (1995), The managerial decision-making process, Houghton Mifflin, Boston.
HAUCAP J., HEIMESHOFF U. (2011), “Consumer behavior towards on-net/off-net price differentiation”, Telecommunications Policy, vol. 35, n. 4, pp. 325-332.
HERVA M., ÁLVAREZ A., ROCA E. (2011), “Sustainable and safe design of footwear integrating ecological footprint and risk criteria”, Journal of Hazardous Materials, vol. 192, n. 3, pp. 1876-1881.
HUNG C., LIN H.K. (2013), “Using objective words in SentiWordNet to improve sentiment classification for word of mouth”, IEEE Intelligent Systems, vol. 28, n.2, pp. 47-54.
JACQUES J.J., AGOGINO A.M., GUIMARÃES L.B. (2010), “Sustainable product development initiatives in the footwear industry based on the cradle to cradle concept”, in ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, August 26-29 2018, Quebec City, Canada.
JANG J.S. (1993), “ANFIS: adaptive-network-based fuzzy inference system”, IEEE transactions on systems, man, and cybernetics, vol. 23, n. 3, pp. 665-685.
JANSSEN M., VAN DER VOORT H., WAHYUDI A. (2017), “Factors influencing big data decision-making quality”, Journal of Business Research, vol. 70, n. 7, pp. 338-345.
JOHNSEN T., HOWARD M., MIEMCZYK J. (2014), Purchasing and supply chain management: A sustainability perspective, Routledge, Abingdon-on-Thames, Regno Unito.
KASABOV N.K., SONG Q. (2002), “DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction”, IEEE transactions on Fuzzy Systems, vol. 10, n. 2, pp.144-154.
KITCHIN R. (2014), “The real-time city? Big data and smart urbanism”, Geo Journal, vol. 79, n. 1, pp. 1-14.
LAVALLE S. (2011), “Big data, analytics and the path from insights to value”, MIT Sloan Management Review, vol. 52, n. 2, pp. 21-37.
LEE M., RAHIMIFARD S. (2010), “Development of an economically sustainable recycling process for the footwear sector”, in Proceedings of the 17th CIRP Life Cycle Engineering Conference, 19-21 May 2010, Hefei, China.
LEHNER M., MONT O., HEISKANEN E. (2016), “Nudging-A promising tool for sustainable consumption behavior?”, Journal of Cleaner Production, vol. 134, n. 30, pp. 166-177.
LICHTENSTEIN D.R., RIDGWAY N.M., NETEMEYER R.G. (1993), “Price perceptions and consumer shopping behavior: a field study”, Journal of Marketing Research, vol. 30, n. 2, pp. 234-245.
LOHR S. (2012), The age of big data, New York Times.
LOIA V., MAIONE G., TOMMASETTI A., TORRE C., TROISI O., BOTTI A. (2016), “Toward Smart Value Co-education”, in Smart Education and e-Learning 2016 (pp. 61-71), Springer International Publishing.
LOPES D., FERREIRA M.J., RUSSO R., DIAS J.M. (2015), “Natural and synthetic rubber/waste–Ethylene-Vinyl Acetate composites for sustainable application in the footwear industry”, Journal of Cleaner Production, vol. 92, n. 7, pp. 230-236.
LUTHRA S., MANGLA S.K., XU L., DIABAT A. (2016), “Using AHP to evaluate barriers in adopting sustainable consumption and production initiatives in a supply chain”, International Journal of Production Economics, vol. 181, n. 15, pp. 342-349.
MALLINGER M., MATT S. (2015), “Big data Decision Making”, Graziadio Business Review, vol. 18, n. 2, pp. 138-159.
MCAFEE A., BRYNJOLFSSON E (2012) “Big data: the management revolution,” Harvard Business Review, vol. 90, n. 10, pp. 60-68.
MCKINNON A., BROWNE M., WHITEING A., PIECYK M. (2015), Green logistics: Improving the environmental sustainability of logistic, Kogan Page Publishers, London.
MIAN S. (2013), The Effect of Price Sensitivity on Consumer Behavior (Doctoral dissertation, © Lahore School of Economics),
MICHELINI L., PRINCIPATO L., IASEVOLI G. (2018), “Understanding Food Sharing Models to Tackle Sustainability Challenges”, Ecological Economics, vol. 145, n. 4, pp. 205-217.
OHANA B., TIERNEY B. (2009), “Sentiment classification of reviews using SentiWordNet”, paper presented at 9th IT&T conference, 22-23 October, Dublin, Ireland.
PARTRIDGE E. (2014), Social Sustainability, Encyclopedia of Quality of Life and Well-Being Research, Alex C. Michalos, Ohio.
PITT J. (2013), “Transforming big data into collective awareness”, Computer, vol. 46, n. 6, pp. 40-45.
POLESE F. (2009), “Local government and networking trends supporting sustainable tourism: some empirical evidences”, in Fusco Girard L., Nijkamp N. (eds), Cultural Tourism and Sustainable Local Development, Ashgate, London, pp. 131-148.
POLESE F., CARRUBBO L., BRUNI R., MAIONE G. (2017), “The viable system perspective of actors in eco-systems”, The TQM Journal, vol. 29, n. 6, pp. 783-799.
POPE N.K., VOGES K.E. (2000), “The impact of sport sponsorship activities, corporate image, and prior use on consumer purchase intention”, Sport Marketing Quarterly, vol. 9, n. 2, pp. 96-102.
RABL T., GÓMEZ-VILLAMOR S., SADOGHI M., MUNTÉS-MULERO V., JACOBSEN H.A., MANKOVSKII, S. (2012), “Solving big data challenges for enterprise application performance management”, VLDB Endowment, vol. 5, n. 12, pp. 1724-1735.
RAMIREZ G.A. (2012), “Sustainable development: paradoxes, misunderstandings and learning organizations”, The Learning Organization, vol. 19, n. 1, pp. 58-76.
REZA JALILVAND M., SAMIEI N. (2012), “The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran”, Marketing Intelligence and Planning, vol. 30, n. 4, pp. 460-476.
ROWLEY J. (2007), “The wisdom hierarchy: representations of the DIKW hierarchy”, Journal of Information Science, vol. 33, n. 2, pp. 163-180.
SANCHEZ-RODRIGUEZ C., MARTÍNEZ-LORENTE Á.R. (2004), “Quality management practices in the purchasing function: an empirical study”, International Journal of Operations and Production Management, vol. 24, n. 7, pp. 666-687.
SATHI A. (2012), Big data analytics: disruptive technologies for changing the game, Mc Press, New York.
SCHALTEGGER S., WAGNER M. (2017), Managing the business case for sustainability: The integration of social, environmental and economic performance, Routledge, Abingdon-on-Thames.
SCHIPPER L., PELLING M. (2006), “Disaster risk, climate change and international development: scope for, and challenges to integration”, Disasters, vol. 30, n. 1, pp. 19-38.
STANLEY L.L., WISNER J.D. (2002), “The determinants of service quality: issues for purchasing”, European Journal of purchasing and Supply Management, vol. 8, n. 2, pp. 97-109.
STAVRIANEA A., SIOMKOS G. (2016), “Crisis Marketing: Effects on the consumers’ behavior and their materialistic values”, in Proceedings of the ICCMI 2016, 4th International Conference on Contemporary Marketing Issues.
SUNIL E., FUKAWA N., SWAYNE L. (2016), “Big data consumer analytics and the transformation of marketing”, Journal of Business Research, vol. 69, n. 2, pp. 897-904.
TARTAGLIONE C., CORRADINI S. (2013), “Stare al passo con la sostenibilità, il settore calzaturiero e l’approccio sostenibile”, Report Ares2.0 Piano settoriale calzature “PROTODESIGN - Creatività, Ingegnerizzazione, Sviluppo della collezione e Commercializzazione della scarpa, Roma.
TROISI O., CARRUBBO L., MAIONE G., TORRE C. (2017), “Unity is Strength: Co-Creating Value in Working Context”, Journal of Business and Economics, vol. 8, n. 1, pp. 97-104.
TROISI O., GRIMALDI M., LOIA F., MAIONE G. (2018), “Big data and sentiment analysis to highlight decision behaviors: a case study for student population”, Behavior and Information Technology, vol. 37, n. 10-11, pp. 1111-1128.
TSUR O., RAPPOPORT A. (2012), “What’s in a hashtag?: content based prediction of the spread of ideas in microblogging communities”, presented in fifth ACM international conference on Web search and data mining, 08-12 February, Seattle, Washington, United States.
UGOLINI P. (2010), Approccio alla sostenibilità nella governance del territorio, Franco Angeli, Milano.
VLEK C., STEG L. (2007), “Human Behavior and Environmental Sustainability: Problems, Driving Forces, and Research Topics”, Journal of Social Issues, vol. 63, n. 1, pp. 1-19.
WANG C.L., LI D., BARNES B.R., AHN J. (2012), “Country image, product image and consumer purchase intention: Evidence from an emerging economy”, International Business Review, vol. 21, n. 6, pp. 1041-1051.
WANG E.S.T. (2017), “Different Effects of Utilitarian and Hedonic Benefits of Retail Food Packaging on Perceived Product Quality and Purchase Intention”, Journal of Food Products Marketing, vol. 23, n. 3, pp. 239-250.
WANG H., XU Z., FUJITA H., LIU S. (2016), “Towards felicitous decision making: An overview on challenges and trends of Big Data”, Information Sciences, vol. 367, n. 1 pp. 747-765.
WU P.C., YEH G.Y.Y., HSIAO C.R. (2011), “The effect of store image and service quality on brand image and purchase intention for private label brands”, Australasian Marketing Journal, vol. 19, n. 1, pp. 30-39.
YANG D.J., WU J.M., WANG K.I. (2010), “Relationship quality, relationship value, purchasing intention: An empirical study in the retail industry in the USA, Japan and Taiwan”, Asian Journal of Arts and Sciences, vol. 1, n. 2, pp. 155-166.
ZGUROVSKY M.Z. (2007), “Sustainable development global simulation: Opportunities and treats to the planet”, Russian Journal of Earth Sciences, vol. 9, n. 2, pp. 1-16.
ZIKOPOULOS P., EATON C. (2011), Understanding big data: Analytics for enterprise class hadoop and streaming data, McGraw-Hill, Osborne.