Logforum
Wyższa Szkoła Logistyki
1895-2038
1734-459X
The new silk road: opportunities for global supply chains and challenges for further development
ORIGINAL_ARTICLE
193-207
en
2020
16
2
Norbert
Wagener
Bernard
Aritua
Tong
Zhu
Aritua B.N.H., 2019. World Bank Policy Research Working Paper Series: The Belt and Road Initiative Connectivity and Infrastructure Gaps, Beijing: s.n.
Beifert A., Sherbanin Y., Vinokurov E., 2018. Challenges and Opportunities of Economic Integration within a Wider European and Eurasian Space - Trans-Eurasian Land Transport Corridors: Assessment of Prospects and Barriers, Laxenburg (Austria): IIASA International Institute for Applied Systems Analysis.
Belorussian Railways, 2019. Press Centre - BMW. [Online] Available at: https://www.rw.by/cargo_transportation/container_transportation/accelerated_trains/bmw/ [Accessed 25 08 2019].
Belt and Road Portal, 2019. Six Years' Review of Belt and Road Initiative. [Online] Available at:
www.yidaiyilu.gov.cn/xwzx/gnxw/102792.htm
China Business Journal, 2019. [Online] Available at:
http://www.wuliujia2018.com/html/37743.html [Accessed 27 09 2019].
China Ports and Harbours Association, 2019. [Online] Available at:
http://www.port.org.cn/info/2019/203356.htm [Accessed 27 09 2019].
European Commission DG TREN, 2012. RETRACK WP 13: Potential for Eurasia land bridge corridors & logistics developments along the corridors, Brussels: European Commission.
Handelsblatt, 2019. Neue Seidenstraße - Wie Österreichs Bahn die europäische Konkur-renz im China-Geschäft abhängen will. [Online] Available at: https://www.handelsblatt.com/unternehmen/handel-konsumgueter/neue-seidenstrasse-wie-oesterreichs-bahn-die-europaeische-konkurrenz-im-china-geschaeft-abhaengen-will/21229642.html [Accessed 25 08 2019].
Hofmann S., 2018. BASF plant 10-Milliarden-Projekt in China. Handelsblatt, Issue 09.07.2018.
Industrial Equipment News, 2018. BMW Ramps Up Investment in China. [Online] Available at: https://www.ien.com/supply-chain/news/21026860/bmw-ramps-up-investment-in-china [Accessed 25 8 2019].
Jiaoe W., 2018. An organizational model and border port hinterlands for the China-Europe Railway Express. Journal of Geographical Sciences, 28(9), 1279.
Railways, 2016. Sibirische Zugroute wird zum Erfolgsmodell. [Online] Available at: https://www.dbcargo.com/resource/blob/1796314/544f6a52a136911bc1a0b148b866c714/BMW-data.pdf [Accessed 30 08 2019].
Steer Davies Gleave, 2018. Research for TRAN Committee: The new Silk route - opportunities and challenges for EU transport, Brussels: European Parliament, Policy Department for Structural and Cohesian Policies.
TransFollow, 2019. First blockchain container shipped to Rotterdam. [Online] Available at: https://transfollow.org/news/blockchain-deliver/ [Accessed 30 08 2019].
UNESCAP, 2017. Comprehensive Planning of Eurasian Transport Corridors to Strenghen the Intra- and Inter-Regional Transport Connectivity, s.l.: UNESCAP.
Wagener N., Bamler N., Behrens R., 2019. Potenzialstudie für den intermodalen Güterverkehr in der Wirtschaftsregion Lausitz, Bad Muskau: ZukunftsWerkstatt Lausitz.
World Bank Group, 2019. Belt And Road Economics - Opportunities and risks of transport corridors, Washington: International Bank for Reconstruction and Development / The World Bank.
New Silk Road, Belt and Road Initiative, Global Supply Chains, Intermodal Transport, Digitalization, Corridor Management
10.17270/J.LOG.2020.403
Russia’s national logistics system: main directions of development
ORIGINAL_ARTICLE
209-218
en
2020
16
2
Ruslan
Beysenbaev
Yuri
Dus
Al-Futaisi A., 2015. Sultanate of Oman Logistics Strategy 2040. Muscat: Ministry of Transport and Communications.
Arvis J., Wiederer C., Shepherd B., Raj A., Dairabayeva K., Kiiski T. 2018. Connecting to Compete 2018: Trade Logistics in the Global Economy. Washington, DC: The World Bank.
http://doi.org/10.1596/29971.
Beysenbaev R., 2018. The importance of country-level logistics efficiency assessment to the development of international trade British Journal for Social and Economic Research, 3(6), 13-20, http://doi.org/10.22406/bjser-18-3.6-13-20.
Bonett D., Wright T., 2000. Sample size requirements for estimating Pearson, Kendall and Spearman correlations. Psychometrika, 65 (1), 23-28, http://doi.org/10.1007/bf02294183.
Cvetkov V., Zoidov K., Medkov A., 2014. Formirovanie novoj jevoljucionnoj koncepcii uvelichenija gruzovoj bazy transportnyh koridorov Sever - Jug: sovremennoe sostojanie, geopoliticheskie uslovija i jekonomicheskie predposylki [The formation of new evolutionary conceptions of North-South corridor freight traffic: the current situation, geopolitical conditions and economic preconditions]. Regional'nye problemy preobrazovanija jekonomiki, 9(47), 229-246.
Dettmer B., Freytag A., Draper P., 2014. Air cargo beyond trade barriers in Africa. Journal of Economic Integration, 29 (1), 95-138, http://doi.org/10.11130/jei.2014.29.1.95.
Edirisinghe L., 2013. The Influence of Logistics Competence in International Trade in Sri Lanka: A Contemporary Study. SSRN Electronic Journal, http://doi.org/10.2139/ssrn.3305996.
Filina V., 2004. Transport Logistics: Modern Problems and Development Trends. Studies on Russian Economic Development, 15(1), 70-84.
Furuichi M., Otsuka N., 2013. Cost Analysis of the Northern Sea Route (NSR) and the Conventional Route Shipping. In IAME. Marseille.
Gogoneata B. 2008. An analysis of explanatory factors of logistics performance of a country. The AMFITEATRU ECONOMIC journal, 10, 143-156.
Guner S., Coskun E., 2012. Comparison of impacts of economic and social factors on countries' logistics performances: a study with 26 OECD countries. Research in Logistics and Production, 2(4), 329-343.
Hriday S., 2018. Turning the international North-South corridor into a digital corridor. Sravnitelnaya politika [Comparative Politics], 9(4), 124-138.
ITU. 2018. Measuring the Information Society Report 2018 (1st ed.). Geneva: ICT Data and Statistics Division.
Luttermann S., Kotzab H., Halaszovich T.F., 2017. The Impact of Logistics on International Trade and Investment Flows. In The 29th NOFOMA conference Taking on Grand Challenges. Lund University: NOFOMA.
Ministry of Transport of the Russian Federation. 2008. Transportnaja strategija Rossijskoj Federacii na period do 2030 goda [Russian Federation Transport Strategy 2030]. Moscow, Russia: Ministry of Transport of the Russian Federation.
Pomfret R., 2019. The Eurasian Land Bridge: linking regional value chains along the New Silk Road. Cambridge Journal of Regions, Economy and Society, 12(1), 45–56, http://doi.org/10.1093/cjres/rsy030.
Sabelnikova M., Kuzmicheva L., Ageeva L., Akimova I., Akimova M., Kobrinskaja L., Savostjanova T., Uvarova G., 2018. Transport v Rossii [Transport in Russia]. Moscow, Russia.
Sakuleva T., Metjolkin P., 2015. Transsibir-skaja magistral' kak odna iz sostavnyh chastej transportnoj infrastruktury nacional'noj jekonomiki Rossii [The Trans-Siberian Railway as one of the main components of Russia’s national transport infrastructure] Vestnik universiteta, 7, 123-126.
Sgro J., 2019. Interim Report on Establishing a Canadian Transportation and Logistics Strategy. 42nd Parliament, 1st Session, House of Commons.
Shepherd B., 2016. Infrastructure, trade facilitation, and network connectivity in Sub-Saharan Africa. Journal of African Trade, 3(1-2), 1-22,
http://doi.org/10.1016/j.joat.2017.05.001.
Solakivi T., Ojala L., Laari S., Lorentz H., Töyli J., Malmsten J., Viherlehto N., 2017. Finland State of Logistics 2016. Turun kauppakorkeakoulun julkaisuja.
Tan A., Hilmola O., 2012. Future of trans-shipment in Singapore. Industrial Management and Data Systems, 112(7), 1085-1100, http://doi.org/10.1108/02635571211255032
The Central Bank of the Russian Federation. 2018. External Trade of the Russian Federation in Services: Statistical Publication. Moscow: Central Bank of the Russian Federation.
Titarenko M., Petrovsky V., Portyakov V., Ostrovsky A., Kovalevskaya V., 2015. Development of Russian–Chinese Trade, Economic, Financial and Cross-Border Relations. Working Paper 20. Spetskniga, Moscow.
TransRussia. 2018. Transport and Logistics in Russia: Returning to Growth: A Market Insights report from TransRussia/ TransLogistica. TransLogistica.
Logistics Performance Index (LPI), Russia, international transport corridors, international logistics, infrastructure, state transport policy
10.17270/J.LOG.2020.395
Cost development in logistics due to industry 4.0
ORIGINAL_ARTICLE
219-227
en
2020
16
2
Dagmar
Čámská
Jiří
Klečka
Acimovic S., Stajic N., 2019, Digital supply chain: leading technologies and their impact on industry 4.0 [in:] 19th international scientific conference Business Logistics in Modern Management, 75-90.
Arcidiacono F., Ancarani A., Di Mauro, C., Schupp F., 2019. Where the rubber meets the road. Industry 4.0 among SMEs in the automotive sector, IEEE Engineering Management Review,
http://doi.org/10.1109/EMR.2019.2932965.
Barreto L., Amaral A., Pereira T., 2017. Industry 4.0 implications in logistics: an overview, Procedia Manufacturing, 13, 1245-1252, http://doi.org/10.1016/j.promfg.2017.09.045.
Bettenhausen K.D., Oesterle M., Zuehlke D., 2010. SmartFactory The intelligent Factory of the Future in the Life Cycle Contributions to the Further Development of Automation [in:] 11th Branch Meeting of the Measurement and Automation Technology - Automation 2010, 257-260.
Brendel T., 2019. Industry 4.0 – More costs than benefits?, Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 114(1-2), 68-71, http://doi.org/10.3139/104.112042.
Cyplik P., Oleskow-Szlapka J., Tobola A., Adamczak M., 2019. Building a model for assessing the maturity of Polish enterprises in terms of logistics 4.0 assumption [in:] 19th international scientific conference Business Logistics in Modern Management, 105-120.
Dalenogare L.S., Benitez G.B., Ayala N.F., Frank A.G., 2018. The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383-394, http://doi.org/10.1016/j.ijpe.2018.08.019.
Erdei E., Popp J., Oláh J., 2018. Comparison of time-oriented methods to check manufacturing activities and an examina-tion of their efficiency, LogForum, 14(3), 371-386, http://doi.org/10.17270/J.LOG.2018.290.
European Commission, 2003. Commission Recommendation EU 2003/61/ES. Available on the Internet: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2003:124:0036:0041:EN:PDF (9/28/2019)
Gubán M., Kovács G., 2017. INDUSTRY 4.0 Conception, Acta Technica Corviniensis-Bulletin of Engineering, 10(1), 111-114.
Jereb B., 2017. Mastering logistics investment management, Transformations in Business & Economics, 16(1), 100-120.
Kergroach S., 2017. Industry 4.0: New Challenges and Opportunities for the Labour Market, foresight and gover-nance, 11(4), 6-8,
http://doi.org/10.17323/2500-2597.2017.4.6.8.
Kiel D., Müller J.M., Arnold C., Voigt K.I., 2017. Sustainable industrial value creation: Benefits and challenges of industry 4.0, International Journal of Innovation Management, 21(8),
http://doi.org/10.1142/S1363919617400151
Krykavskyy Y., Pokhylchenko O., Hayvano-vych N., 2019. Supply chain development drivers in industry 4.0 in Ukrainian enterprises, OECONOMIA COPERNICA-NA, 10(2), 273-290,
http://doi.org/10.24136/oc.2019.014.
Lasi S., Fettke P., Kemper H.G., Feld T., Hoffmann M., 2014. Industry 4.0, Business & Information Systems Engineering, 6(1), 239-242,
http://doi.org/10.1007/s12599-014-0334-4.
Maslaric M., Nikoličic S., Mirčetic D., 2016. Logistics Response to the Industry 4.0: the Physical Internet, Open Engineering, 6(1), 511-517,
http://doi.org/10.1515/eng-2016-0073.
Moenning A., Maier T., Zika G., 2019. Economy 4.0-Digitalisation and Its Effect on Wage Inequality, Jahrbucher fur Natio-nalokonomie und Statistik, 239(3), 363-398,
http://doi.org/10.1515/jbnst-2017-0151.
McKinsey Global Institute, 2015. The Internet of Things: Mapping the Value Beyond the Hype, Available on the Internet: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=706B4E4BA86659F79206FC558BB5D371?doi=10.1.1.729.7846&rep=rep1&type=pdf (07/15/2019).
Müller J.M., Voight K.I., 2018. The impact of Industry 4.0 on Supply Chains in Engineer-to-Order-Industries – An Explanatory Case Stucy, IFAC PapersOnline, 51(11), 122-127, http://doi.org/10.1016/j.ifacol.2018.08.245.
Romberg A., 2016. The operative implement-tation of industry 4.0 is increasing rapidly in Germany, Productivity management, 21(1), 61-64.
Rotman D., 2013. How Technology Is Destroying Jobs, Technology Review, 116(4), 28-35.
Rüßmann M., Lorenz M., Gerbert P., Waldner M., Justus J., Engel P., Harnisch M., 2015. Industry 4.0: The future of productivity and growth in manufacturing industries, Boston Consulting Group, Available on the Internet: https://www.bcg.com/publications/2015/engineered_products_project_business_industry_4_future_productivity_growth_manufacturing_industries.aspx (08/21/2019).
Sommer L., 2015. Industrial revolution - Industry 4.0: Are German manufacturing SMEs the first victims of this revolution?, Journal of Industrial Engineering and Management, 8(5), 1512-1532, http://doi.org/10.3926/jiem.1470.
Strouhal J., Gurtvis N., Nikitina-Kalamae M., Li T.W., Lochman A.L., Born K., 2014. Are companies willing to publicly present their financial statements on time? Case of Czech and Estonian TOP100 Companies. Proceedings [in:] The 7th International Scientific Conference on Managing and Modelling of Financial Risks Modelling of Financial Risks, 731-738.
operating cost, cost structure, Czech Republic, CZ-NACE H, Industry 40
10.17270/J.LOG.2020.415
Ranking of opportunities for implementing the omnichannel concept
ORIGINAL_ARTICLE
229-237
en
2020
16
2
Hubert
Wojciechowski
Łukasz
Hadaś
Baird N., Kilcourse B., 2011. Omni-channel fulfillment and the future of the retail supply chain. Benchmark Report, March.
Beck N., Rygl D., 2015. Categorization of multiple channel retailing in multi-, cross-, and omni-channel retailing for retailers and retailing. Journal of Retailing and Consumer Services 27: 170–178. http://doi.org/10.1016/j.jretconser.2015.08.001
Bell D.R., Gallino S., Moreno A., 2014, How to win in an omnichannel world, MIT Sloan Management Review, 56(1), 45.
Blom A., Lange F., Hess Jr. R.L., 2017. Omnichannel-based promotions’ effects on purchase behavior and brand image. Journal of Retailing and Consumer Services, 39, 286-295. http://doi.org/10.1016/j.jretconser.2017.08.008
Brynjolfsson E., Yu J.H., Rahman M.S., 2013. Competing in the age of omnichannel retailing. MIT Sloan Management Review.
Chiou J.S., Wu L.Y., Chou S.Y., 2012. You do the service but they take the order. Journal of Business Research, 65(7), 883-889, http://doi.org/10.1016/j.jbusres.2011.06.035
Chiu H.C., Hsieh Y.C., Roan J., Tseng K.J., Hsieh J.K., 2011. The challenge for multichannel services: Cross-channel free-riding behavior. Electronic Commerce Research and Applications, 10(2), 268-277. http://doi.org/10.1016/j.elerap.2010.07.002
de Carvalho J.L.G., Campomar M.C., 2014. Multichannel at retail and omni-channel: Challenges for Marketing and Logistics. Business and Management Review, 4(3), 103-113.
Dyson R.G., 2004, Strategic development and SWOT analysis at the University of Warwick. European journal of operational research, 152(3), 631-640,
http://doi.org/10.1016/S0377-2217(03)00062-6
Flavián C., Gurrea R., Orús C., 2016. Choice confidence in the webrooming purchase process: The impact of online positive reviews and the motivation to touch. Journal of Consumer Behaviour, 15(5), 459-476, http://doi.org/10.1002/cb.1585
Harris P., Riley F.D.O., Hand C., 2018. Understanding multichannel shopper journey configuration: An application of goal theory. Journal of Retailing and Consumer Services, 44, 108-117, http://doi.org/10.1016/j.jretconser.2018.06.005
Houben G., Lenie K., Vanhoof K., 1999. A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises. Decision support systems, 26(2), 125-135, http://doi.org/10.1016/S0167-9236(99)00024-X
Huré E., Picot-Coupey K., Ackermann C.L., 2017. Understanding omni-channel shop-ping value: A mixed-method study. Journal of Retailing and Consumer Services, 39, 314-330, http://doi.org/10.1016/j.jretconser.2017.08.011
Lemon K.N., Verhoef P.C., 2016. Under-standing customer experience throughout the customer journey. Journal of marketing, 80(6), 69-96.
Mierzwiak R., 2015. Metoda zarządzania jakością warunków pracy w przed-siębiorstwie produkcyjnym [The method of managing the quality of working conditions in a production company], PhD dissertation, Poznań.
Neslin S.A., Jerath K., Bodapati A., Bradlow E.T., Deighton J., Gensler S., Lee L., Montaguti E., Telang R., Venkatesan R., Verhoef P.C., 2014. The interrelationships between brand and channel choice. Marketing Letters, 25(3), 319-330. http://doi.org/10.1007/s11002-014-9305-2
Pickton D.W., Wright S., 1998, What's swot in strategic analysis? Strategic change, 7(2), 101-109, http://doi.org/10.1002/(SICI)1099-1697(199803/04)7:2<101::AID-JSC332>3.0.CO;2-6
Piotrowicz W., Cuthbertson R., 2014. Introduction to the special issue information technology in retail: Toward omnichannel retailing. International Journal of Electronic Commerce, 18(4), 5-16,
http://doi.org/10.2753/JEC1086-4415180400
Rigby D. 2011. The future of shopping. Harvard Business Review 89(12): 65–76.
Sagan, Adam, 2009. Analiza preferencji konsumentów z wykorzystaniem programu Statistica–analiza conjoint i skalowanie wielowymiarowe [Analysis of consumer preferences using the Statistica program - conjoint analysis and multidimensional scaling], StatSoft Polska Sp. z.o.o, 3-22.
Sit J.K., Hoang A., Inversini A., 2018. Showrooming and retail opportunities: A qualitative inve
Verhoef P.C., Neslin S.A., Vroomen B., 2007. Multichannel customer management: Understanding the research-shopper phenomenon. International journal of research in marketing, 24(2), 129-148, http://doi.org/10.1016/j.ijresmar.2006.11.002
Wojciechowski H., Hadas L., 2018, Possibi-lities of Implementing Omnichannel Concept in Distribution–Opportunities and Threats, Business Logistics in Modern Management, 337-353.
omnichannel, e-commerce, decision-making, SWOT, TOWS
10.17270/J.LOG.2020.381
Time period based COPRAS-G method: application on the logistics performance index
ORIGINAL_ARTICLE
239-250
en
2020
16
2
Burcu Adiguzel
Mercangoz
Bahadir
Yildirim
Sultan Kuzu
Yildirim
Adhikary D.D., Bose G.K., Dipankar B., Mitra S., 2014. Multi criteria FMECA for coal-fired thermal power plants using COPRAS-G. International Journal of Quality & Reliability Management; 31(5), 601-614. http://doi.org/10.1108/IJQRM-04-2013-0068
Aghdaie M.H., Zolfani S.H., Zavadskas E.K., 2013. Decision making in machine tool selection: An integrated approach with SWARA and COPRAS-G methods. Economics of Engineering Decisions, 24(1), 5-17.
http://doi.org/10.5755/j01.ee.24.1.2822
Arslan R., Bircan H., Eleroglu H., 2018. Optimally rating of biogas, compost, vermicompost facilities to be installed in Yozgat Province with ARAS and COPRAS methods. Turkish Journal of Agriculture - Food Science and Technology 6 (12),1844-1852. http://doi.org/10.24925/turjaf.v6i12.1844-1852.2319
Bakar M.A.A, Jaafar H.S., 2016. Malaysian logistics performance: A manufacturer's perspective. In Peoceedings of the 6th International Research Symposium in Service Management. Procedia . 571-578. http://doi.org/10.1016/j.sbspro.2016.05.442
Bakhouyi A., Dehbi R., Talea M., 2016. Multiple criteria comparative evaluation on the interoperability of LMS by applying COPRAS method, 2016 Future Technologies Conference (FTC), 361-366. http://doi.org/10.1109/FTC.2016.7821635
Bayrakci E., Aksoy E., 2019. Comparative Performance Assessment with Entropy Weighted ARAS and COPRAS Methods of Private Pension Companies, Business and Economics Research Journal, 10(2), 415-433.
Bentyn Z., 2015. Changes of Logistics Performance in Poland as a Result of Integration with the European Union States. We Wrocławiu Research Papers of Wrocław University of Economics, 407.
Bitarafan M., Zolfani S.H., Arefi S.L., Zavadskas E.K., 2012. Evaluating the construction methods of cold-formed steel structures in reconstructing the areas damaged in natural crises, using the methods AHP and COPRAS-G, Archives of Civil and Mechanical Engineering 12, 3, September 2012, 360-367.
Cakir E., Ozdemir M., 2018. Alti Sigma Projelerinin Bulanik Copras Yöntemiyle Degerlendirilmesi: Bir Üretim Isletmesi Ornegi (Six Sigma Projects Evaluation Using Fuzzy Copras Method: A Case Of Manufacturing Company), Verimlilik Dergisi 2018, 1 (1) 7-40.
Candemir Y., Celebi D., 2017. An Inquiry into the Analysis of the Transport & Logistics Sectors’ Role in Economic Development. Transportation Research Procedia, 25, 4692-4707. http://doi.org/10.1016/j.trpro.2017.05.317
Celebi D., 2017. The Role of Logistics Performance in Promoting Trade. Maritime Economics & Logistics, 21, 3, 307-323. http://doi.org/10.1057/s41278-017-0094-4
Çemberci M., Civelek M.E., Canbolat N., 2015. The Moderator Effect of Global Competitiveness Index on Dimensions of Logistics Performance Index. Procedia-Social and Behavioral Sciences, 95(2015) 514-1524. http://doi.org/10.1016/j.sbspro.2015.06.453
Chatterjee P., Chakraborty S., 2013. Gear material selection using complex proportional assessment and additive ratio assessment-based approaches: a comparati-ve study. International Journal of Materials Science and Engineering, 1(2), 104-111. http://doi.org/10.12720/ijmse.1.2.104-111
Chatterjee K., Kar A.S., 2018. Supplier Selection in Telecom Supply Chain Management: A Fuzzy-RASCH Based COPRAS-G Method, Technological and Economic Development of Economy, 24, 2: 765–791.
Civelek M.E., Uca N., Cemberci M., 2015. The Mediator Effect of Logistics Performance Index on the Relation between Global Competitiveness Index and Gross Domestic Product. European Scientific Journal 11 (3): 368–375. Available at SSRN: https://ssrn.com/abstract=3338312
Dekker M.J., Looff E.J., Roelofsen D.S., Roekel W.S., 2016. Improving the Logistical Situation of Costa Rica. Delf Uiversity of Technology Report.
Erkan B., 2014. The Importance and Determinants of Logistics Performance of Selected Countries. Journal of Emerging Issues in Economics, Finance and Banking, 3(6), 1237-1254.
Faria R.N.D., Souza C.S.D., Vieira J.G.V., 2015. Evaluation of Logistic Performance Indexes of Brazil in the International Trade. Revista de Administração Mackenzie 16 (1) 213–235.
Gani A., 2017. The Logistics Performance Effect in International Trade. The Asian Journal of Shipping and Logistics, 33, 4, 279-288. http://doi.org/10.1016/j.ajsl.2017.12.012
Garg R., Kumar R., Garg S., 2019. MADM-Based Parametric Selection and Ranking of E-Learning Websites Using Fuzzy COPRAS, IEEE Transactions on Education, 62, 1, February 2019.
Hoekman B., Nicita A., 2011. Trade Policy, Trade Costs, and Developing Country Trade. World Development 39(12), 2069–2079.
Iris C., Tanyas M., 2011. Analysis of Turkish Logistics Sector and Solutions Selection to Emerging Problems Regarding Criteria Listed in Logistics Performance Index (LPI). International Journal of Business and Management Studies, 3, 1, 93-102.
Julong D., 1982. Control problems of Grey Systems, System and Control Letters, 5, 288-94.
Jumadi H., Zailani S., 2010. Integrating Green Innovations in Logistics Services Towards Logistics Services Sustainability: A Conceptual Paper. Environmental Research Journal 4(4), 261-271.
Khan S., Qianli D., 2017. Does National Scale Economic and Environmental Indicators Spur Logistics Performance? Evidence from UK. Environmental Science and Pollution Research 24 (34) 26692-26705. http://doi.org/10.1007/s11356-017-0222-9
Liou J.J.H., Tamošaitienė J., Zavadskas E.K., Tzeng G.H., 2016. New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management. International Journal of Production Research, 2016, 54, 1, 114–134. http://doi.org/10.1080/00207543.2015.1010747
Liu S., Lin Y., 2010. Introduction to Grey Systems Theory. In: Grey Systems. Understanding Complex Systems, vol 68. Springer, Berlin, Heidelberg.
Martí L., Puertas R., García L., 2014. The Importance of the Logistics Performance Index in International Trade. Applied Economics 46 (24): 2982–2992. http://doi.org/10.1080/00036846.2014.916394
Martí L., Martín J.C. Puertas R., 2017. A DEA-Logistics Performance Index. Journal of Applied Economics, 20, 1, 169-192. http://doi.org/10.1016/S1514-0326(17)30008-9
Nguyen H.T., Dawal S.Z.M., Nukman Y., Aoyama, H., 2014. A hybrid approach for fuzzy multi-attribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Systems with Applications, 41, 6, May 2014, 3078-3090.
http://doi.org/10.1016/j.eswa.2013.10.039
Nur Fadiah M.Z., Wahab S.A., Mamun A.A., 2017. Logistics Capability, Logistics Performance, and The Moderating Effect of Firm Size: Empirical Evidence From East Coast Malaysia. Journal of Developing Areas, 51, 2, 171-182.
http://doi.org/10.1353/jda.2017.0038
Onsel Ekici, S., Kabak, O., Ulengin F., 2016. Linking to Compete: Logistics and Global Competitiveness Interaction. Transport Policy 48:117-128.
http://doi.org/10.1016/j.tranpol.2016.01.015
Pancholi N., Bhatt M., 2018. FMECA-Based Maintenance Planning through COPRAS-G and PSI, Journal of Quality in Maintenance Engineering, 2018, 24, 2, 224-243. http://doi.org/10.1108/JQME-03-2017-0015
Puertas R., Martí L. García L., 2014) Logistics Performance and Export Competitiveness: European Experience. Empirica, 41 (3) 467–480.
http://doi.org/10.1007/s10663-013-9241-z
Mousavi-Nasab S.H., Sotoudeh Anvari A., 2017. A comprehensive MCDM-based approach using TOPSIS, COPRAS and DEA as an auxiliary tool for material selection problems. Materials & Design. May 2017, 121, 237-253, 17. http://doi.org/10.1016/j.matdes.2017.02.041
Solakivi T., Ojala L., Laari S., Lorentz H., Toyli J., Malmsten J., Viherlehto N., 2015. Finland State of Logistics 2014. Turun Kauppakorkeakoulun Julkaisuja Sarja E-1:2015.
Tavana M., Momeni E., Rezaeiniya N., Mirhedayatian S.M., Rezaeiniya H., 2013. A Novel Hybrid Social Media Platform Selection Model using fuzzy ANP and COPRAS-G. Expert System with Applications 40(14): 5694-5702. http://doi.org/10.1016/j.eswa.2013.05.015
Uca N., Ince H., Sumen H., 2016. The Mediator Effect of Logistics Performance Index on the Relation Between Corruption Perception Index and Foreign Trade Volu-me. European Scientific Journal 12(25) 37-45.
https://hdl.handle.net/11467/1573
Vaillancourt A., Haavisto I., 2015. Country Logistics Performance and Disaster Impact. Disasters 40(2), 262-283.
https://doi.org/10.1111/disa.12146
Yapraklı T.S. Unalan M., 2017. The Global Logistics Performance Index and Analysis of the Last Ten Years Logistics Performance of Turkey. Ataturk University Journal of Economics & Administrative Sciences, 31, 3, 589-606.
Yildirim B.F., Adiguzel Mercangoz B., 2019. Evaluating the Logistics Performance of OECD Countries by Using Fuzzy AHP and ARAS-G. Eurasian Economic Review, 1-19.
http://doi.org/10.1007/s40822-019-00131-3
Zavadskas E.K., Kaklauskas A., Sarka V., 1994. The new method of multicriteria complex proportional assessment of projects, Technological and Economic Development of Economy, 1(3): 131–139.
Zavadskas E.K., Kaklauskas A., 1996. Determination of an Efficient Contractor by using the new Method of Multi Criteria Assessment. In Langford, D. A.; Retik, A. (eds.) Interna. Symposium for “The Organi-zation and Management of Construction”. Shaping Theory and Practice, 2: Managing the Construction Project and Managing Risk. CIB W 65; London, Weinheim, New York, Tokyo, Melbourne, Madras. - London: E and FN SPON, 94-104.
Zavadskas E.K., Kaklauskas A., Turskis Z., Tamosaitiene J., 2008. Selection of the Effective Dwelling House Walls by Applying Attributes Values Determined at Intervals. Journal of Civil Engineering and Management, 14(2), 85-93.
http://doi.org/10.3846/1392-3730.2008.14.3
Zavadskas E.K., Turskis Z., Tamošaitienė J., Marina V., 2008. Multicriteria Selection of Project Managers by Applying Grey, Technological and economic development 14(4): 462–477.
http://doi.org/10.3846/1392-8619.2008.14.462-477
Zhang Y, Tan Y., Li N., Liu G., 2018. Deci-sion-Making in Green Building Investment Based on Integrating AHP and COPRAS-Grey Approach, In Proceedings of the International Conference on Construction and Real Estate Management 2018, :65-71. http://doi.org/10.1061/9780784481738.008
Zolfani S.H., Chen I.S., Rezaeiniya N., Tamosaitiene J., 2012. A Hybrid MCDM Model Encompassing AHP and Copras-G Methods for Selecting Company Supplier in Iran. Technological and Economic Development of Economy, 18(3): 529-543. http://doi.org/10.3846/20294913.2012.709472
COPRAS-G, logistics performance, multi criteria decision making, grey numbers, correlation analysis
10.17270/J.LOG.2020.432
A decision making support system in logistics cooperation using a modified VIKOR method under an intuituinistic fuzzy environment
ORIGINAL_ARTICLE
251-260
en
2020
16
2
Anna
Tatarczak
Atanassov K., 1986. Intuitionistic fuzzy sets. fuzzy sets and systems 20 (1), 87-96, http://doi.org/10.1016/s0165-0114(86)80034-3.
Boran F.E., Gen¸c. S., Kurt M., Akay D., 2009. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with topsis method. Expert Systems with Applications 36, 11363-11368, http://doi.org/10.1016/j.eswa.2009.03.039.
Calı S., Balaman S.Y., 2019. A novel out-ranking based multi criteria group decision making methodology integrating electre and vikor under intuitionistic fuzzy envi-ronment. Expert Systems with Applications 119, 36-50,
http://doi.org/10.1016/j.eswa.2018.10.039.
Cruijssen F., Cools M., Dullaert W., 2007. Horizontal cooperation in logistics: opportunities and impediments. Trans-portation Research Part E: Logistics and Transportation Review 43, 129-142, http://doi.org/10.1016/j.tre.2005.09.007.
Defryn C., Sorensen K., Dullaert W., 2019. Integrating partner objectives in horizontal logistics optimisation models. Omega 82, 1-12, http://doi.org/10.1016/j.omega.2017.11.008
Delbecq A.L., Van de Ven A.H., Gustafson D.H., 1975. Group techniques for program planning: A guide to nominal group and Delphi processes. Scott Foresman, http://doi.org/10.1093/sw/21.4.338.
Ghaderi, H., Dullaert, W., Amstel, W.P.V., 2016. Reducing lead-times and leadtime variance in cooperative distribution networks. International Journal of Shipping and Transport Logistics 8, 51-65, http://doi.org/10.1504/ijstl.2016.073316 .
Gou Q., Zhang J., Liang L., Huang Z., Ashley A., 2014. Horizontal cooperative program-mes and cooperative advertising. Interna-tional Journal of Production Research 52, 691-712, http://doi.org/10.1080/00207543.2013.827809.
Jouida S.B., Krichen S., Klibi W., 2017. Coalition-formation problem for sourcing contract design in supply networks. European Journal of Operational Research 257, 539-558.
Shannon C.E., 1948. A mathematical theory of communication. Bell system technical journal 27, 379-423,
http://doi.org/10.1016/j.ejor.2016.07.040.
Soysal M., Bloemhof-Ruwaard J.M., Haijema R., van der Vorst J.G., 2018. Modeling a green inventory routing problem for peri-shable products with horizontal collabo-ration. Computers & Operations Research 89, 168-182,
http://doi.org/10.1016/j.cor.2016.02.003.
Tavana M., Yazdani M., Di Caprio D., 2017. An application of an integrated anp-qfd framework for sustainable supplier selection. International Journal of Logistics Research and Applications 20, 254-275, http://doi.org/10.1080/13675567.2016.1219702.
Wan S.P., Wang Q.Y., Dong J.Y., 2013. The extended vikor method for multiattribute group decision making with triangular intuittionistic fuzzy numbers. Knowledge-Based Systems 52, 65-77,
http://doi.org/10.1016/j.knosys.2013.06.019
Wei G., 2012. Hesitant fuzzy prioritized operators and their application to multiple attribute decision making. Knowledge-Based Systems 31, 176-182,
http://doi.org/10.1016/j.knosys.2012.03.011
Zadeh L.A., 1965. Fuzzy sets. Information and control 8, 338-353,
http://doi.org/10.1016/s0019-9958(65)90241-x.
Zadeh L.A., 1983. Linguistic variables, approximate reasoning and dispositions. Medical Informatics 8, 173-186, http://doi.org/10.3109/14639238309016081
Zhang N., Wei G., 2013. Extension of vikor method for decision making problem based on hesitant fuzzy set. Applied Mathematical Modelling 37, 4938-4947,
http://doi.org/10.1016/j.apm.2012.10.002.
Zhao N., Xu Z., Liu F., 2015. Uncertainty measures for hesitant fuzzy information. International Journal of Intelligent Systems 30, 818-836,
http://doi.org/10.1002/int.21714.
Coalition formation, logistics cooperation multi-criteria decision analysis, group decision making, Shapley value, VIKOR
10.17270/J.LOG.2020.436
Logistics maturity model in the service industry: state of art and research implications
ORIGINAL_ARTICLE
261-269
en
2020
16
2
Monika
Kosacka-Olejnik
Battista C., Fumi A., Schiraldi M., 2012. The logistic maturity model: guidelines for logistic processes continuous improvement. POMS 23rd Annual Conference, Chicago, Illinois, USA.
Battista C., Schiraldi M. M., 2013. The logistic maturity model: Application to a fashion company. International Journal of Enginee-ring Business Management, 5 (10): 1-11. http://doi.org/10.5772/56838
Bemelmans J., Voordijk H., Vos B., 2013. De-signing a tool for an effective assessment of purchasing maturity in construction. Bench-marking: An International Journal, 20 (3): 342-361. http://doi.org/10.1108/14635771311318126
Benmoussa R., Abdelkabir C., Abd A., Hassou M., 2015. Capability/maturity based model for logistics processes assessment: Application to distribution processes. International Journal of Productivity and Performance Management, 64 (1): 28-51. http://doi.org/10.1108/IJPPM-08-2012-0084
Cao W., Jiang, P., 2013. Modelling on service capability maturity and resource configuration for public warehouse product service systems. International Journal of Production Research, 51(6): 1898-1921. http://doi.org/10.1080/00207543.2012.720391
Christopher M., 2016. Logistics & supply chain management. Pearson UK.
Denyer D., Tranfield D., 2009. Producing a systematic review. In D.A. Buchanan, A. Bryman (Eds.), The Sage handbook of Organizational Research Methods, 671-689. Thousand Oaks, CA, USA: Sage Publi-cations Ltd.
Eadie R., Perera S., Heaney G., 2011. Key process area mapping in the production of an e-capability maturity model for UK con-struction organisations. Journal of Financial Management of Property and Construction, 16(3); 197-210.
http://doi.org/10.1108/13664381111179198
Herbsleb J., Zubrow D., Goldenson D., Hayes W., Paulk M., 1997. Software quality and the capability maturity model, Communications of the ACM, 40(6): 30-40.
Janse B., Schuur P., de Brito M. P., 2010. A reverse logistics diagnostic tool: the case of the consumer electronics industry. The International Journal of Advanced Manu-facturing Technology, 47(5-8): 495-513. http://doi.org/10.1007/s00170-009-2333-z
Jellouli O., Abdelkadhi M., 2013. Test Logistics Maturity of the Industrial Zone in the Region of Gabes. International Journal of Supply Chain Management, 2(4): 71-75.
Kitchenham B., 2004. Procedures for performing systematic reviews. Keele, UK, Keele University 33: 1-26.
Lacerda T. C., von Wangenheim C. G., 2018. Systematic literature review of usability capability/maturity models. Computer Standards & Interfaces, 55: 95-105. http://doi.org//10.1016/j.csi.2017.06.001
Mazur A., Stachowiak A., 2014. The framework of methodology for identification of organizational maturity with assessment of excellence level of logistics systems. In: I. Abrud (Ed.), The Management between profit and social responsibility, Proceedings of the 4th Review of Management and Economic Engineering International Management Conference: 18-20.
Tontini G., de Carvalho L. C., Schlindwein N. F. D. C., Tomarevski V., 2016. Maturity model of procurement and supply mana-gement in small and medium-size enter-prises: A benchmarking of hospitals and metal-mechanic companies. International Journal of Quality and Service Sciences, 8(3): 315-333
http://doi.org/10.1108/IJQSS-04-2016-0036
Van Lith J., Voordijk H., Matos Castano J., Vos B., 2015. Assessing maturity development of purchasing management in construction. Benchmarking: An International Journal, 22(6): 1033-1057. http://doi.org/10.1108/BIJ-07-2014-0071
Veldman J., Klingenberg W., 2009. Applicability of the capability maturity model for engineer-to-order firms. International Journal of Technology Management, 48(2): 219-239. http://doi.org/10.1504/IJTM.2009.024917
logistics maturity, literature review, state of art, service industry
10.17270/J.LOG.2020.401
Metal nanoparticles in nanosensors for food quality assurance
ORIGINAL_ARTICLE
271-278
en
2020
16
2
Renata
Dobrucka
Abdullah A.H., Adom A.H., Ahmad M.N., Saad M.A., Tan E.S., Fikri N.A., Zakaria A. 2011. Electronic nose system for Ganoderma detection. Sensor Letters, 9[1], 353-358. http://doi.org/10.1166/sl.2011.1479
Ai K., Liu Y., Lu L., 2009. Hydrogen-bonding recognition-induced color change of gold nanoparticles for visual detection of melamine in raw milk and infant formula. Journal of the American Chemical Society, 131[27], 9496-9497.
http://doi.org/10.1021/ja9037017
Albelda J.A., Uzunoglu A., Santos G.N.C., Stanciu L.A., 2017. Graphene-titanium dioxide nanocomposite based hypoxanthine sensor for assessment of meat freshness. Biosensors and Bioelectronics, 89, 518-524. http://doi.org/10.1016/j.bios.2016.03.041
Aung M.M., Chang Y.S., 2014. Temperature management for the quality assurance of a perishable food supply chain. Food Control, 40, 198-207.
http://doi.org/10.1016/j.foodcont.2013.11.016
Bi J., 2019. Electrodeposited silver nanoflo-wers as sensitive surface-enhanced Raman scattering sensing substrates. Materials Letters, 236, 398-402.
http://doi.org/10.1016/j.matlet.2018.10.138
Chassy B., Hlywka J.J., Kleter G.A., Kok E.J., Kuiper H.A., McGloughlin M., 2004. Nutritional and safety assessments of foods and feeds nutritionally improved through biotechnology: an executive summary. Comprehensive reviews in food science and food safety, 3[2], 38-104.
Chen Z., Lin Y., Ma X., Guo L., Qiu B., Chen G., Lin Z., 2017. Multicolor biosensor for fish freshness assessment with the naked eye. Sensors and Actuators B: Chemical, 252, 201-208.
http://doi.org/10.1016/j.snb.2017.06.007
Chudobova D., Cihalova K., Skalickova S., Zitka J., Rodrigo M.A., Milosavljevic V., Hynek D., Kopel P., Vesely R., Adam V., Kizek R., 2015. Electrophoresis [36], 457-466.
http://doi.org/10.1002/elps.201400321
Devi R., Yadav S., Pundir C.S., 2012. Amperometric determination of xanthine in fish meat by zinc oxide nanoparticle/ chitosan/multiwalled carbon nanotube/poly-aniline composite film bound xanthine oxidase. Analyst, 137 [3], 754 -759. http://doi.org/10.1039/C1AN15838D
Devi R., Batra B., Lata S., Yadav S., Pundir C. S., 2013. A method for determination of xanthine in meat by amperometric bio-sensor based on silver nanoparticles /cysteine modified Au electrode. Process Biochemistry, 48 [2], 242-249. http://doi.org/10.1016/j.procbio.2012.12.009
Dridi F., Marrakchi M., Gargouri M., Garcia-Cruz A., Dzyadevych S., Vocanson F., Lagarde F., 2015. Thermolysin entrapped in a gold nanoparticles/polymer composite for direct and sensitive conductometric biosen-sing of ochratoxin A in olive oil. Sensors and Actuators B: Chemical, 221, 480-490. http://doi.org/10.1016/j.snb.2015.06.120
Dwiecki K., Nogala-Kalucka M., Polewski K., 2014. Application of quantum dots for the determination of ingredients and food contaminants. Food Science Technology Quality, 21[3].
Dungchai W., Siangproh W., Chaicumpa W., Tongtawe P., Chailapakul O., 2008. Salmo-nella typhi determination using voltam-metric amplification of nanoparticles: a highly sensitive strategy for metalloim-munoassay based on a copper-enhanced gold label. Talanta, 77[2], 727-732. http://doi.org/10.1016/j.talanta.2008.07.014
Galian R.E., de la Guardia M., 2009. The use of quantum dots in organic chemistry. TrAC Trends in Analytical Chemistry, 28[3], 279-291.
http://doi.org/10.1016/j.trac.2008.12.001
Gao M.X., Liu C.F., Wu Z.L., Zeng Q.L., Yang X.X., Wu W.B., Huang C.Z., 2013. A surfactant-assisted redox hydrothermal route to prepare highly photoluminescent carbon quantum dots with aggregation-induced emission enhancement properties. Chemical Communications, 49[73], 8015-8017.
http://doi.org/10.1039/C3CC44624G
Ghasemi-Varnamkhasti M., Mohtasebi S.S., Rodriguez-Mendez M.L., Siadat M., Ahmadi H., Razavi S.H., 2011. Electronic and bioelectronic tongues, two promising analytical tools for the quality evaluation of non alcoholic beer. Trends in Food Science & Technology, 22[5], 245-248. http://doi.org/10.1016/j.tifs.2011.01.003
Gracias K.S., McKillip J.L., 2004. A review of conventional detection and enumeration methods for pathogenic bacteria in food. Canadian journal of microbiology, 50[11], 883-890.
http://doi.org/10.1139/w04-080
Joo J., Yim C., Kwon D., Lee J., Shin H.H., Cha H.J., Jeon S., 2012. A facile and sensitive detection of pathogenic bacteria using magnetic nanoparticles and optical nanocrystal probes. Analyst, 137[16], 3609-3612.
http://doi.org/10.1039/C2AN35369E
Kalele S.A., Kundu A.A., Gosavi S.W., Deobagkar D.N., Deobagkar D.D., Kulkarni S.K., 2006. Rapid detection of Escherichia coli by using antibody‐ conju-gated silver nanoshells. Small, 2[3], 335-338.
http://doi.org/10.1002/smll.200500286
Kelsall R.W., Hamley I.W., Geoghegan M., 2009. Nanotechnology. PWN, Warszawa 2009, 5.
King T., Osmond-McLeod M.J., Duffy L.L., 2018. Nanotechnology in the food sector and potential applications for the poultry industry. Trends in Food Science & Technology, 72, 62-73.
http://doi.org/10.1016/j.tifs.2017.11.015
Kumar P., Kumar P., Manhas S., Navani N.K., 2016. A simple method for detection of anionic detergents in milk using unmodified gold nanoparticles. Sensors and Actuators B: Chemical, 233, 157-161. http://doi.org/10.1016/j.snb.2016.04.066
Kumar N., Seth R., Kumar H., 2014. Colori-metric detection of melamine in milk by citrate-stabilized gold nanoparticles. Analy-tical biochemistry, 456, 43-49.
http://doi.org/10.1016/j.ab.2014.04.002
Krishna V.D., Wu K., Su D., Cheeran M.C., Wang J.P., Perez A., 2018. Nanotech-nology: Review of concepts and potential application of sensing platforms in food safety. Food mi
Kumar M., Jeong H., Lee D., 2018. UV photodetector with ZnO nanoflowers as an active layer and a network of Ag nanowires as transparent electrodes. Superlattices and Microstructures. http://doi.org/10.1016/j.spmi.2018.12.004
Leonard P., Hearty S., Brennan J., Dunne L., Quinn J., Chakraborty T., O’Kennedy R., 2003. Advances in biosensors for detection of pathogens in food and water. Enzyme and Microbial Technology, 32[1], 3-13. http://doi.org/10.1016/S0141-0229(02)00232-6
Liu S.F., Petty A.R., Sazama G.T., Swager T. M., 2015. Single-Walled carbon nanotube/ metalloporphyrin composites for the chemiresistive detection of amines and meat spoilage. Angewandte Chemie Inter-national Edition, 54 [22], 6554–6557. http://doi.org/10.1002/anie.201501434
Rzeszutek J., Matysiak M., Czajka M., Sawicki K., Rachubik P., Kruszewski M., Kapka–Skrzypczak, L. [2014]. Application of nanoparticles and nanomaterials in medi-cine. Hygeia Public Health, 49[3], 449-457.
Shim K., Kim J., Shahabuddin M., Yamauchi Y., Hossain M.S.A., Kim J.H., 2018. Efficient wide range electrochemical bisphenol-A sensor by self-supported dendritic platinum nanoparticles on screen-printed carbon electrode. Sensors and Actuators B: Chemical, 255, 2800-2808. http://doi.org/10.1016/j.snb.2017.09.096
Suwanboon S., Chukamnerd S., Anglong U., 2007. Morphological control and optical properties of nanocrystalline ZnO powder from precipitation method. Songklanakarin Journal of Science & Technology, 29[6].
Thomas M.K., Vriezen R., Farber J.M., Currie A., Schlech W., Fazil A., 2015. Economic cost of a Listeria monocytogenes outbreak in Canada, 2008. Foodborne Pathogens and Disease, 12[12], 966e971.
http://doi.org/10.1089/fpd.2015.1965.
Zhang W.H., Zhang W.D., 2008. Fabrication of SnO2–ZnO nanocomposite sensor for selective sensing of trimethylamine and the freshness of fishes. Sensors and Actuators B: Chemical, 134[2], 403-408. http://doi.org/10.1016/j.snb.2008.05.015
Zhang Q., Zhang S., Xie C., Zeng D., Fan C., Li D., Bai Z., 2006. Characterization of Chinese vinegars by electronic nose. Sen-sors and Actuators B: Chemical, 119[2], 538-546.
http://doi.org/10.1016/S0925-4005(98)00160-9
Zhao X., et al., 2014. Advances in rapid detection methods for foodborne pathogens. J. Microbiol. Biotechnol. 24 [3], 297e312. http://doi.org/10.4014/jmb.1310.10013
Zhang H., Ming H., Lian S., Huang H., Li H., Zhang L., Lee S.T., 2011. Fe2O3/carbon quantum dots complex photocatalysts and their enhanced photocatalytic activity under visible light. Dalton Transactions, 40[41], 10822-10825. http://doi.org/10.1039/C1DT11147G
Zheng D., Hu C., Gan T., Dang X., Hu S., 2010. Preparation and application of a novel vanillin sensor based on biosynthesis of Au–Ag alloy nanoparticles. Sensors and Actuators B: Chemical, 148[1], 247-252.
Zheng L., Zhang C., Ma J., Hong S., She Y., EI-Aty A.A., Wang J., 2018. Fabrication of a highly sensitive electrochemical sensor based on electropolymerized molecu-larly imprinted polymer hybrid nanocom-posites for the determination of 4-no-nylphenol in packaged milk samples. Analytical biochemistry, 559, 44-50.
Yang M., Kostov Y., Bruck H.A., Rasooly A., 2009. Gold nanoparticle-based enhanced chemiluminescence immunosensor for detection of Staphylococcal Enterotoxin B [SEB] in food. International journal of food microbiology, 133[3], 265-271. http://doi.org/10.1016/j.ijfoodmicro.2009.05.029
Valdés M.G., González A.C.V., Calzón J.A.G., Díaz-García M.E., 2009. Analytical nanotechnology for food analysis. Micro-chimica Acta, 166[1-2], 1-19. http://doi.org/10.1007/s00604-009-0165-z
Wang Y., Fewins P.A., Alocilja E.C., 2015. IEEE Sensor. J. [15] 2015, 4692-4699.
WHO, 2015. WHO estimates of the global burden of foodborne diseases: Foodborne disease burden epidemiology reference group 2007-2015.
Wu Q., Long Q., Li H., Zhang Y., Yao S., 2015. An upconversion fluorescence resonance energy transfer nanosensor for one step detection of melamine in raw milk. Talanta, 136, 47-53.
http://doi.org/10.1016/j.talanta.2015.01.005
Yuan J., Tao Z., Yu Y., Ma X., Xia Y., Wang L., Wang Z., Food Control [37]. 2014. 188-192. http://doi.org/10.1016/j.foodcont.2013.09.046
nanotechnlogy, nanosensor, safety food
10.17270/J.LOG.2020.390
Biodegradable packaging based on pla with antimicrobial properties
ORIGINAL_ARTICLE
279-286
en
2020
16
2
Natalia
Czaja-Jagielska
Anna
Praiss
Michał
Walenciak
Dajana
Zmyślona
Natalia
Sankowska
Agrimonti C., White J.C., Tonetti S., Marmi-roli N., 2019. Antimicrobial activity of cellulosic pads amended with emulsions of essential oils of oregano, thyme and cinnamon against microorganisms in minced beef meat, International Journal of Food Microbiology, 305, 108246, http://doi.org/10.1016/j.ijfoodmicro.2019.108246.
Ali A., Chen Y., Liu H., Yu L., Baloch Z., Khalid S., Zhu J., Chen L. 2019. Starch-based antimicrobial films functionalized by pomegranate peel, International Journal of Biological Macromolecules, 129, 1120-1126, http://doi.org/10.1016/j.ijbiomac.2018.09.068.
Aswathy J., Heera K.V., Sumi T.S., Meritta J., Shiji M., Praveen G., Indu C. Nair, Radhakrishnan E.K., 2019. Starch-PVA composite films with zinc-oxide nanoparticles and phytochemicals as intelligent pH sensing wraps for food packaging application, International Journal of Biological Macromolecules, 136, 395-403, http://doi.org/10.1016/j.ijbiomac.2019.06.018.
Boyacı D., Iorio G., Sozbilen G. S., Alkan D., Trabattoni S., Pucillo F., Farris S., Yemenicioğlu A., 2019. Development of flexible antimicrobial zein coatings with essential oils for the inhibition of critical pathogens on the surface of whole fruits: Test of coatings on inoculated melons, Food Packaging and Shelf Life, 20, 100316, http://doi.org/10.1016/j.fpsl.2019.100316.
Heydari-Majd M., Ghanbarzadeh B., Shahidi-Noghabi M., Najafi M.A., Hosseini M. 2019. A new active nanocomposite film based on PLA/ZnO nanoparticle/essential oils for the preservation of refrigerated Otolithes ruber fillets, Food Packaging and Shelf Life, 19, 94-103
http://doi.org/10.1016/j.fpsl.2018.12.002.
Fonseca L., dos Santos Cruxen C.E., Bruni G.P., Fiorentini A.M., da Rosa Zavareze E., Lim L., Dias A. 2019. Development of
Kashiri M., López-Carballo G., Hernández-Muñoz P., Gavara R., 2019. Antimicrobial packaging based on a LAE containing zein coating to control foodborne pathogens in chicken soup, International Journal of Food Microbiology, 306, 108272,
http://doi.org/10.1016/j.ijfoodmicro.2019.108272.
Lee, H., Kim, K., Choi, K.-H., Yoon, Y., 2015. Quantitative microbial risk assessment for Staphylococcus aureus in natural and processed cheese in Korea. J. Dairy Sci. 98, 5931–5945. http://doi.org/10.3168/jds.2015-9611.
Lan W., Zhang R., Ahmed S., Qin W., Liu Y., 2019. Effects of various antimicrobial polyvinyl alcohol/tea polyphenol composite films on the shelf life of packaged strawberries, LWT, 113, 2019, 108297, http://doi.org/10.1016/j.lwt.2019.108297
Liu B., Xu H., Zhao H., Liu W., Zhao L., Li Y. 2017. Preparation and characterization of intelligent starch/PVA films for simultaneous colorimetric indication and antimicrobial activity for food packaging applications, Carbohydrate Polymers, 157, 842-849, http://doi.org/10.1016/j.carbpol.2016.10.067.
Malhotra B, Keshwani A and Kharkwal H., 2015. Antimicrobial food packaging: potential and pitfalls. Front. Microbiol. 6:611. http://doi.org/10.3389/fmicb.2015.00611
Qin Y., Li W., Liu D., Yuan M., Li L. 2017. Development of active packaging film made from poly (lactic acid) incorporated essential oil, Progress in Organic Coatings 103, 76–82,
http://doi.org/10.1016/j.porgcoat.2016.10.017
Talebi F., Misaghi A., Khanjari A., Kamkar A., Gandomi H., Rezaeigolestani M. 2018. Incorporation of spice essential oils into poly-lactic acid film matrix with the aim of extending microbiological and sensorial shelf life of ground beef, LWT, 96, 482-490, http://doi.org/10.1016/j.lwt.2018.05.067
Wang K., Lim P.N., Tong S.Y., Thian E.S. 2019. Development of grapefruit seed extract-loaded poly(ε-caprolactone)/chito-san films for antimicrobial food packaging, Food Packaging and Shelf Life, 22, 2019,100396, http://doi.org/10.1016/j.fpsl.2019.100396
Yahyaoui M., Gordobil O., Díaz R. H., Abderrabba M., Labidi J., 2016. Develop-ment of novel antimicrobial films based on poly(lactic acid) and essential oils, Reactive and Functional Polymers, 109, 1-8, http://doi.org/10.1016/j.reactfunctpolym.2016.09.001
Zhao Y., Teixeira J.S., Saldaña M. D.A., Gänzle M. G., 2019. Antimicrobial activity of bioactive starch packaging films against Listeria monocytogenes and reconstituted meat microbiota on ham, International Journal of Food Microbiology, 305, 108253, http://doi.org/10.1016/j.ijfoodmicro.2019.108253.
Zheng K., Xiao S., Li W., Wang W., Chen H., Yang F., Qin C. 2019. Chitosan-acorn starch-eugenol edible film: Physico-chemical, barrier, antimicrobial, antioxidant and structural properties, International Journal of Biological Macromolecules, 135, 344-352, http://doi.org/10.1016/j.ijbiomac.2019.05.151
antimicrobial packaging, biodegradable packaging, mechanical properties, barrier properties, innovation
10.17270/J.LOG.2020.391
Relationship of advertising appeals, corporate reputation and brand advocacy: The mediation role of brand loyalty
ORIGINAL_ARTICLE
287-298
en
2020
16
2
Asif
Mahmood
Syed Zeeshan
Haider
Armstrong G., Kotler Ph., 2011. Principles of Marketing by Gary Armstrong and Philip Kotler (2011, Hardcover). Retrieved June 28, 2014, from
http://www.ebay.com/ctg/Principles-Marketing-Gary-Armstrong-and-Philip-Kotler-2011-Hardcover-/1699446
Anderson S.P., Renault R., 2009. Comparative advertising: disclosing horizontal match information. The RAND Journal of Econo-mics, 40(3), 558–581.
http://doi.org/10.1111/j.1756-2171.2009.00077.x1
Argyres N., Bercovitz J., Zanarone G.J.S.M.J., 2019. The role of relationship scope in sustaining relational contracts in interfirm networks, Strategic Management Journal, 41(2), 222-245.
Aribarg A., Schwartz E.M., 2020. Native Advertising in Online News: Trade-Offs Among Clicks, Brand Recognition, and Website Trustworthiness. Journal of Marketing Research, 57(1), 20–34. http://doi.org/10.1177/0022243719879711
Bartikowski B., Walsh G., Beatty S.E., 2011. Culture and age as moderators in the corporate reputation and loyalty relation-ship. Journal of Business Research, 64(9), 966–972. http://doi.org/10.1016/j.jbusres.2010.11.019
Bill F., Feurer S., Klarmann M., 2020. Salesperson social media use in business-to-business relationships: An empirical test of an integrative framework linking antece-dents and consequences. J. of the Acad. Mark. Sci.
http://doi.org/10.1007/s11747-019-00708-z
Chu S.-C., Kim Y., 2011. Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47-75.
http://doi.org/10.2501/IJA-30-1-047-075
Filatotchev I., Wei L.Q., Sarala R.M., Dick P., Prescott J.E.J.J.o.M.S., 2020. Connecting Eastern and Western Perspectives on Management: Translation of Practices Across Organizations, Institution and Geographies, Journal of Management Studies, 57(1), 1-24.
Graf-Vlachy L., Oliver A.G., Banfield R., König A., Bundy J., 2020. Media Coverage of Firms: Background, Integration, and Directions for Future Research, Journal of Management, 46(1), 36–69.
http://doi.org/10.1177/0149206319864155.
Gulbrandsen I.T., Plesner U., Raviola E.J.I.J.o.M.R., 2019. New media and strategy research: towards a relational agency approach, International, Journal of Management Reviews, 22(1), 33-52.
Islam M.S., 2008. The Analysis of Customer Loyalty in Bangladeshi Mobile Phone Operator Industry. Presented at: Independent University, Bangladesh. 83 Suhrawardy Avenue, Dhaka-1212, Bangladesh, 1-16.
Jeong Y.-C., Kim T.-Y.J.A.o.M.J., 2019. Between legitimacy and efficiency: An institutional theory of corporate giving, Academy of Management, 62(5), 1583-1608.
Jia X.J.C.S.R., Management E., 2020. Corporate social responsibility activities and firm performance: The moderating role of strategic emphasis and industry compe-tition, Corporate Social Responsibility and Environmental Management, 27(1), 65-73.
Keh H.T., Xie Y., 2009. Corporate reputation and customer behavioral intentions: The roles of trust, identification and commit-ment. Industrial Marketing Management, 38(7), 732–742.
http://doi.org/10.1016/j.indmarman.2008.02.005
Korgaonkar P., Silverblatt R., O’Leary B., 2001. Web advertising and Hispanics. Journal of Consumer Marketing, 18(2), 134–152.
Matzler K., Pichler E.A., Hemetsberger A.J.M.T., Applications, 2007. Who is spreading the word? The positive influence of extraversion on consumer passion and brand evangelism, 18(1), 25-32.
Mazzarol T., Sweeney J.C., Soutar G.N., 2007. Conceptualizing word‐of‐mouth activity, triggers and conditions: an exploratory study. European Journal of Marketing, 41(11/12), 1475–1494.
http://doi.org/10.1108/03090560710821260
Moolla A.I., Bisschoff C.A., 2012. Validating a model to measure the brand loyalty of fast-moving consumer goods. Journal of Social Sciences, 31(2), 101–115.
Narteh B., Braimah M., 2019. Corporate reputation and retail bank selection: the moderating role of brand image, Inter-national Journal of Retail & Distribution Management, Vol. ahead-of-print No. ahead-of-print. http://doi.org/10.1108/IJRDM-08-2017-0164
Phau I., Teah M., 2009. Devil wears (counterfeit) Prada: a study of antecedents and outcomes of attitudes towards counterfeits of luxury brands. Journal of Consumer Marketing, 26(1), 15–27. http://doi.org/10.1108/07363760910927019
Rietveld R., van Dolen W., Mazloom M., Worring M.J.J.o.I.M., 2020. What You Feel, Is What You Like Influence of Message Appeals on Customer Engagement on Instagram, Journal of Interactive Marketing, 49, 20-53.
Ponzi L.J., Fombrun C.J., Gardberg N.A., 2011. RepTrakTM Pulse: Conceptualizing and Validating a Short-Form Measure of Corporate Reputation. Corporate Reputation Review, 14(1), 15–35. http://doi.org/10.1057/crr.2011.5
Price K.N., Gioia D.A., Corley K.G., 2008. Reconciling Scattered Images: Managing Disparate Organizational Expressions and Impressions. Journal of Management Inquiry, 17 (3), 173-185,
http://doi.org/10.1177/1056492608314991
Saeed R., Tufail S., Lodhi R.N., Ahmad M., Arshad H.M., Saeed R., 2013. Antecedents of Cigarette Brand Loyalty in Pakistan. Journal of Basic and Applied Scientific Research, 3(5), 969–975.
Sekaran U., Bougie R., 2013. Wiley: Research Methods for Business: A Skill-Building Approach, 6th Edition - Uma Sekaran, Roger Bougie. Retrieved July 1, 2015, from http://eu.wiley.com/WileyCDA/WileyTitle/productCd-111994225X.html
Wong R., Sheng S.Y., 2008. A System Dynamics Approach to the Study of Word-of-Mouth and Its Effect in an Online Environment, Technol. Innov. Manage. Rev, 42-48. Retrieved from
http://www.ebrf.fi/_file/44151/EBRF11_Paper_v02.pdf
Zeithaml V.A., Jaworski B.J., Kohli A.K., Tuli K.R., Ulaga W., Zaltman G., 2020. A Theories-in-Use Approach to Building Marketing Theory. Journal of Marketing, 84(1), 32–51.
http://doi.org/10.1177/0022242919888477
Zhao W., Lee, Y.-J.J.J.o.P.M., 2019. The Moderating Effects of Status-Consumption Motive and Age in the Relationship between CSR Advertising Appeal Type and Purchase Intentions. Journal of Promotion Management.
advertising appeals, corporate reputation, brand advocacy, brand loyalty, FMCGs sector
10.17270/J.LOG.2020.383
Shopfloor management (SFM) as a tool for improving control of production and visualization of results
ORIGINAL_ARTICLE
299-310
en
2020
16
2
Maciej
Ciszewski
Magdalena K.
Wyrwicka
Achanga P., Shehab E., Roy R., Nelder G., 2006. Critical success factors for lean implementation within SMEs, Journal of Manufacturing Technology Management; 17(4):460–71, http://doi.org/10.1108/17410380610662889
Alkhoraif A., Rashid H., McLaughlin P., 2019. Lean implementation in small and medium enterprises: Literature review, Operations Research Perspectives 6, 2019, 100089, http://doi.org/10.1016/j.orp.2018.100089.
Aluchna M., Płoszajski P. (red.), 2008. Zarządzanie japońskie: ciągłość i zmiana [Japanese management. Continuity and change], Warsaw School of Economics.
Balle M., Balle F. 2012. Company director as Lean Manager. A novel about enterprise transformation.
Cruz R., Figueiredo P., Passos F., Cruz Souza E., 2019. Operational impacts of lean manufacturing: the case of a consumer goods industrial company, GEPROS: Gestão da Produção, Operações e Sistemas, http://doi.org/10.15675/gepros.v14i4.2362.
Cusumano M. A., 1994. The limits of lean. Sloan Management Review 1994;35:27–32.
Cyplik P., Hadaś Ł., 2013. Theory of constrains and Lean Production: idea, tools, practice of application, Poznań University of Technology Publishing House.
Jasińska S., Żurek M., Wyrwicka M.K., 2015. Analiza efektywności wdrożenia Lean Manufacturing. Studium przypadku [Analysis of the effectiveness of Lean Manufacturing implementation. Case study], Economics and Management, 7, 1, http://doi.org/10.12846/j.em.2015.01.19.
Liker J, Hoseus M., 2008. M. Toyota culture: the heart and soul of the Toyota way. New York: McGraw-Hill.
Mrugalska B., Ahram T., 2016. Managing variations in process control: an overview of sources and degradation methods. In: Soares M, Falcao C, Ahram T, editors. Advances in Ergonomics Modeling, Usability and Special Populations. Advances in Intelligent Systems and Computing,486:377–387, http://doi.org/10.1007/978-3-319-41685-4_34
Niewiadomski P., Pawlak N, Tsimayeu A., 2018. Barriers to effective implementation of lean management principles - empirical exemplification in the industry of agricultural machinery, Logforum 14.4, 10. http://doi.org/10.17270/J.LOG.2018.308.
Nowosielski S., 2015. The concept of Lean Management in a small enterprise. Possibilities and restrictions of application [in:] J. Lichtarski, ed., The practical dimension of the achievements of management sciences. Science for economic and local government practice, [in Polish] Volume XVI, Notebook 3, SAN Publishing House.
Pawłowski E., Pawłowski K., Trzcieliński S., 2010. Metody i narzędzia. Lean Manufacturing. Materiały dydaktyczne. [Lean Manufacturing methods and tools]. Poznan University of Technology.
Pearce A., Pons D., Neitzert T., 2018. Implementing lean-Outcomes from SME case studies, Operations Research Perspectives 5 (2018) 94–104; http://doi.org/10.1016/j.orp.2018.02.002.
Pearce A., Pons D., Neitzert T., 2019. Operations Research Perspectives 6 (2019) 100114, http://doi.org/10.1016/j.orp.2019.100114.
Pekarčíková M., Trebuňa P., Kliment M., 2019. Digitalization effects on the usability of lean tools, Acta Logistica. 2019;6(1):9-13
http://doi.org/10.22306/al.v6i1.112.
Peters R., 2009. Shopfloor Management, Log_X Verlag, Ludwigsburg.
Rother M., Shook J., 2009. Learn to see, Lean Enterprise Institute Polska.
Suzaki K., 2010. New Shop Floor Management: Empowering People for Continuous Improvement, Free Press.
Trenkner M., 2016. The role and tasks of managers in implementing the concept of Lean Management - social aspects. Entrepreneurship and Management XVII, 4, I, SAN Publishing House.
Wielki J., Kozioł P., 2018. The analysis of opportunities to use the lean it concept in modern enterprise. Polish Journal of Mana-gement Studies 2018; 18 (2): 388-401, http://doi.org/10.17512/pjms.2018.18.2.31.
Wyrwicka M. K., ed., 2009. Marnotrawstwo. Przejawy i sposoby minimalizacji [Wastes. Symptoms and ways of elimination], Poznan: Publishing House of Poznan University of Technology.
Wyrwicka M. K., Mrugalska B., 2016. Mirages of Lean Manufacturing in Practice, Procedia Engineering 182 ( 2017 ) 780 – 785, http://doi.org/10.1016/j.proeng.2017.03.200
Yang P, Yu Y., 2010. The barriers to SMEs’ implementation of lean production and countermeasures – based on SMEsin Wenzhou. International Journal of Innovation, Management and Technology; 1(2):220–225
effects of Lean implementation, production management, Lean Production, Shopfloor Management
10.17270/J.LOG.2020.385
Truck platooning in the context of sustainable development’s targets defined in European Union’s strategies
ORIGINAL_ARTICLE
311-321
en
2020
16
2
Mateusz
Pająk
Piotr
Cyplik
Berg C.N., Deichmann U., Liu Y., Selod H., 2017. Transport Policies and Development, The Journal of Development Studies, 53:4, 465-480, http://doi.org/10.1080/00220388.2016.1199857
Bhoopalam A-K., Agatz N., Zuidwijk R., 2018. Planning of truck platoons: a literature review and directions for future research, Rotterdam School of Manage-ment, Erasmus University, Department of Technology and Operations Management, Rotterdam, Netherlands,
http://doi.org/10.1016/j.trb.2017.10.016Get
Boysen N., Briskorn D., Schwerdfeger S., 2018. The identical-path truck platooning problem, Transportation Research Part B 109. http://doi.org/10.1016/j.trb.2018.01.006
Brennan L., Owende P, Biofuels from microalgae - a review of technologies for production, processing and extractions of biofuels and co-products, "Renewable and Sustainable Energy Reviews" 2010, 14, 2, 557-577, http://doi.org/10.1016/j.rser.2009.10.009
Caparros-Midwood D., Barr S., Dawson R., 2017. Spatial optimization of future urban development with regards to climate risk and sustainability objectives, Risk Analysis 37, 11, Newcastle University,
http://doi.org/10.1111/risa.12777
Chin, T. A., Tat, H. H. and Sulaiman, Z., 2015. Green supply chain management, environmental collaboration and sustain-ability performance. International Journal of Operations and Production Management, 26, 695-699,
http://doi.org/10.1016/j.procir.2014.07.035
Huang Q. , Benmimoun A. , Robinson T., 2010. "Challenges of Platooning on Public Motorways", 17th World Congress on Intelligent Transport Systems, October 25-29, 2010, [online] Available: https://pdfs.semanticscholar.org/c5af/e2bfbf86062e00149504fd185c94b8a6d74a.pdf
Krüger N., Teuteberg F., 2018. Truck platooning: Towards Future Business Mo-dels, University of Osnabrück, Multikon-ferenz Wirtschaftsinformatik, Lüneburg. Germany.
Kumar K-M., Rahman A-A., Jayaraman K., Rahim S-A., 2017. Conceptualization of a research model for sustainable logistic practices and logistics transport perfor-mance, Jurnal Pengurusan 51, University Sains Malaysia.
Larson J., Kammer Ch., Liang K-Y., Johansson K-H., 2013. Coordinated Route Optimization for Heavy-duty vehicle platoons, Proceedings of the 16th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2013), http://doi.org/10.1109/ITSC.2013.6728395.
Larsson E., Sennton G., Larson J., 2015. The vehicle platooning problem: computational complexity and heuristics, Argonne National Laboratory, Lemont, Illinois, Mathematics and Computer Science Division, http://doi.org/10.1016/j.trc.2015.08.019.
Laurance W., Goosem M., Laurance S., 2009. Impacts on roads and linear clearings on tropical forests, Trends in Ecology & Evolution, http://doi.org/10.1016/j.tree.2009.06.009
Muratori M., Holden J., Lammert M., Duran A., Young S., Gonder J., 2017. Potential for platooning in U.S. highway freight transport, National Renewable Energy Laboratory, Colorado.
Pichlak M., 2017. W kierunku gospodarki o obiegu zamknietym – przeglad koncepcji wdrazania zielonej gospodarki [Towards a circular economy – a review of the concept of implementing of a green economy], http://doi.org/10.12775/AUNC_ECON.2017.001
Purol M., Matuszak-Flejszman, A., 2014. Kryteria zrownowazonego rozwoju jako element zintegrowanego system system zarzadzania w przemysle spozywczym [Criteria of sustainable development as an element of the integrated management system in the food industry], Research papers of Wroclaw University of Economics, 377.
Simionescu M., Albu L-L., Raileanu Szeles M., Bilan Y., 2017. The impact of biofuels utilization in transport on the sustainable development in the European Union, Technological and economic development of economy, 23(4),
http://doi.org/10.3846/20294913.2017.1323318
Shladover S., Su D., Lu X-Y., 2012. Impacts of cooperative adaptive cruise control on freeway traffic flow, Transportation Research Record Journal, University of California, Berkeley,
http://doi.org/10.3141/2324-08
Słowik P., Sharpe B., 2018. Automation in the long haul: Challenges and opportunities of autonomous heavy-duty trucking in the United States, The International Council on Clean Transportation.
Strategies of European Union: a) Horizon 2020 work programme 2018-2020 - Strategic Programme Overarching Document, https://ec.europa.eu/programmes/horizon2020/sites/horizon2020/files/stratprog_overarching_version_for_publication.pdf
b) EUROPE 2020, A European strategy for smart, sustainable and inclusive growth, https://ec.europa.eu/eu2020/pdf/COMPLET%20EN%20BARRO
c) A European strategic long-term vision for a prosperous, modern, competitive and climate neutral economy, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52018DC0773
Torabi S., Wahde M., 2018. Fuel-efficiency driving strategies for heavy-duty vehicles: a platooning approach based on speed profile optimization, Department of Mechanics and Maritime Sciences, Chalmers University of Technology, Göteborg,
http://doi.org/10.1155/2018/4290763
Wang M., van Maarseveen S., Happee R., Tool O., van Arem B., 2019. Benefits and Risks of Truck Platooning on Freeway Operations Near Entrance Ramp. Transportation Research Record, 2673, 8, 588-602, http://doi.org/10.1177/0361198119842821
Wysokinska Z., 2018. Implementing the main circular economy principles within the concept of sustainable development in the global and European economy, with particular emphasis on central and eastern Europe – the case of Poland and region of Lodz, 2018, Comparative Economic Research, 21, 3, University of Lodz, Poland
truck platooning, sustainable development
10.17270/J.LOG.2020.411