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The Role of Ferry and Ro-Ro Shipping in Sustainable Development of Transport

. Journal Of Maritime Research, 9(3). pp. 45-54. CHEN, K., YANG, Z., NOTTEBOOM, T. (2014). The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels. Transportation Research Part E: Logistics and Transportation Review. 61. pp. 192-211. ERIKSEN, K. S. (2000). Calculating external costs of transportation in Norway. European Journal of Transport and Infrastructure Research. pp. 9-25. EUROSTAT DATABASE (2013). Victims in road accidents by NUTS 2 regions [tran_r_acci] Ex ante

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Corporate Bankruptcy Prediction in Poland Against the Background of Foreign Experience

). Zagrożenie upadłością spółek akcyjnych w Polsce. In: J.Cz. Ossowski (Ed.), Gospodarka Polski w okresie transformacji: Zeszyt nr 3. Gdańsk: Wydawnictwo Politechniki Gdańskiej. Borkowski, K., Rogowski, W. (2007). Wykorzystanie modeli prognozujących zagrożenie przedsiębiorstwa upadłością na przykładzie benchmarkingu i ratingu w branży budowlanej. Współczesna Ekonomia, 2 , 99-110. Brożyna, J., Mentel, G., Pisula, T. (2016). Statistical Methods of the Bankruptcy Prediction in the Logistics Sector in Poland and Slovakia. Transformations in Business & Economics

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Biomass Production of Selected Energy Plants: Economic Analysis and Logistic Strategies

Biomass Supply Analysis and Logistics Model (IBSAL), “Biomass and Bioenergy”, 30: 838-847 Stolarski M. (2003), Wszystko o wierzbie (Everything about the willow) , „Czysta Energia (Clean Energy)”, 10: 32-33 Stolarski M., Szczukowski S., and Tworkowski J. (2007), Ocena produktywności wierzby (Salixspp.) pozyskiwanej w krótkich rotacjach w dolinie dolnej Wisły (Assessment of the productivity ofthe willow (Salix spp.) in short-rotation in the lower Vistula River valley), Biomasa dlaelektroenergetyki i ciepłownictwa (Biomass for Power and

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Is Russia successful in attracting foreign direct investment? Evidence based on gravity model estimation

References ALI, F. A., N. FIESS, R. MACDONALD. (2010). Do Institutions Matter for Foreign Direct Investment? Open Economies Review, Volume 21, Issue 2, pp. 201-219. AFRICANO, A. (2005). FDI and Trade in Portugal: a gravity analysis. Research Work in Progress. №174. P. 1-24. AZEEM, S., HUSSAIN, H., HUSSAIN, R. (2012). The determinants of foreign investment in Pakistan: a gravity model analysis. Log Forum. Scientific Journal of Logistics. 8 (2). P. 81-97. BALDWIN, R., DI NINO, V. (2006). Euros and

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Business models innovation based on crowds: a comparative study

partners are usually involved to serve the community, which makes it, again more of a client than a partner. Each company’s business model is summarized in tables. The abbreviations used henceforth are: KP—Key Partners, KA—Key Activities, KR—Key Resources, VP—Value Proposition, CS—Cost Structure, CR— Customer Relationship, C—Channels, RS—Revenue Stream, and CS—Customer Segments. 6.2 Threadless 6.2.1 Key activities (KA) The key activities seem to be associated with community catering, logistics, and order fulfillment ( Table 1 ). As a crowdsourcing company

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Thermal Properties of a New Pavement Material for Using in Road Construction

References [1] BAI, B. – PARK, D. W. – VO, H. – DESSOUKY, S. – IM, J.: Thermal Properties of Asphalt Mixtures Modified with Conductive Fillers. Journal of Nanomaterials, Vol. 2015, Article ID 926809, 2015, https://doi.org/10.1155/2015/926809 . [2] MOUKOMEL, A. – MORIDPOUR, S.: Relationship between Asphalt Composition and Thermal Behaviour for Solar Energy Collection. Journal of Traffic and Logistics Engineering, Vol. 2, 2014, pp. 230 - 235, https://doi.org/10.12720/jtle.2.3.230-235 . [3] POLACCO, G. – FILIPPI, S. – MERUSI, F. – STASTNA, G.: A

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Sustainability-oriented cross-functional collaboration to manage trade-offs and interdependencies

. However, paperless manufacturing and warehousing may have nonnegligible energy costs and implications for WEEE. Notable in this respect is the warning by Bull and Kozak [2014] that comparative life cycle assessments regarding paper and digital media are problematic, contingent on a series of assumptions. For example, the energy intensity of enhanced Internet use and of the storage, retrieval, and processing of orders of magnitude more data is also hard to calculate [Coroama and Hilty, 2014]. Strategic planning, production planning, operations, IT, logistics, and

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Organizational Culture and Open Innovation Performance in Small and Medium-sized Enterprises (SMEs) in Poland

. 213–221. Gorman, L. (2007), Corporate culture, Management Decision , Vol. 27, No. 1, pp. 14–20. Grawe, S., Chen, H., Daugherty, P. (2009), The relationship between strategic orientation, service innovation and performance, International Journal of Physical Distribution and Logistics Management , Vol. 39, No. 4, pp. 282–300. Guan J., Ma, N. (2003), Innovative capability and export performance of Chinese firms, Technovation , Vol. 23, No. 9, pp. 737–747. Gunday, G., Ulusoy, G., Kilic, K., Alpkan, L. (2011), Effects of innovation types on

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Perceived Service Quality and Customer Loyalty: The Mediating Effect of Passenger Satisfaction in the Nigerian Airline Industry

model of customers’ assessments of service quality and value. Journal of Consumer Research, 17 (March), pp. 375–384. Bordens, S. K., Abbott, B. B. (2002), Research design and methods: A process approach (5 th eds.). New York: McGraw-Hill. Boshoff, C., Gray, B. (2004), The relationship between service quality, customer satisfaction and buying intentions in the private hospital industry. South African Journal of Business Management, 35 (4), pp. 27–37. Boulding, W., Kalra, A., Staelin, R., Zeithaml, V. A. (1993), A dynamic process model of

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Coevolution of environmental sustainability orientation and strategic alliance learning in green supply chain management

, the focus was on logistics, manufacturing, and marketing managers at the vice-presidential or directorial levels. In total, three reminder e-mails were sent at evenly distributed time intervals. The result of this procedure was that there were 741 unique visitors to the survey website (39.5% of qualified potential respondents actually accessed the survey), after which 368 submitted their finished responses (49.7% of the 741 visitors accessing the website or 25.8% of the 1,814 aimed respondents). The remaining 47.6% of the potential respondents dropped out quickly or

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