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Hyperflexibility A feature of e-commerce organisations

References 1. Beer S. (1974), Designing Freedom , J. Wiley, New York. 2. Castells M. (2001), The Power of Identity, Blackwell Publisher , Cornwall. 3. Chrabowski P., Wiśniewska I., Nisztuk T. et al. (2015), E-commerce: Jak sprostać wyzwaniom dynamicznego rozwoju i stać się dominującym graczem? , Fundacja im. Lesława A. Pagi, http://www.pi.gov.pl/PARPFiles/file/news/20150306_RAPORT_eCommerce_Think_Paga_FINAL.pdf access date: 25.03.2015. 5. Crozier M. (1993), Przesiębiorstwo na podsłuchu , PWN, Warszawa. 6. D’aveni R.A. (2010

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Ukrainian E-Commerce Attractiveness: Challenges and Perspectives

References 1. Webster, F (2006). Theories of the Information Society. Retrieved from https://cryptome.org/2013/01/aaron-swartz/Information-Society-Theories.pdf 2. Thomas, J. C. and Streib G. (2005). E-democracy, E-commerce, and E-research. Administration and Society, vol 37, no. 3, pp. 259-280. 3. Web-site of the Association of E-commerce in Europe (2014). Press Release: 35.7% e-commerce growth in Eastern Europe reflects the region’s enormous potential. Retrieved from http://www.ecommerce-europe.eu/press/357-e-commerce

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The Impact of E-Commerce Development on the Warehouse Space Market in Poland

References Bellon, M. (2016). E-commerce w Polsce stale przyspiesza. [Accessed 15.02.2016]. Available: http://pulsinnowacji.pb.pl/4418019,7215,e-commerce-w-polsce-stale-przyspiesza Brundage, T. (2015). Is Your Warehouse Ready for E-Commerce? [Accessed 20.01.2016]. Retrieved from http://speconthejob.com/is-your-warehouse-ready-for-e-commerce/ Chiang, K. P., & Dholakia, R. R. (2003). Factors driving consumer intention to shop online: an empirical investigation. Journal of Consumer Psychology, 13(1-2), 177

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E-Commerce Customers’ Preference Implicit Identification

. Proceedings of International Conference on Web Information Systems and Technologies, Miami. Kim, K., Carroll, J.M. & Rosson, M. (2002). An Empirical Study of Web Personalization Assistants: Supporting End-Users in Web Information Systems. In Proceedings of the IEEE 2002 Symposia on Human Centric Computing Languages and Environments. Arlington, USA. Kim, Y.S., Yum, B.J., Song J. & Kim, S.M. (2005). Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites . Expert Systems with

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The use of e-commerce in the promotion and sale of hand made products

Heidelberg, Heidelberg. 4. Drab-Kurowska A. (2012), Social media marketing w marketingu XXI wieku, in: Problemy zarządzania, Finansów i Marketingu No. 26. Zeszyty Naukowe Uniwersytetu Szczecińskiego No. 712. Marketing przyszłości. Trendy. Strategie. Instrumenty. Komunikacja marketingowa podmiotów rynkowych, Wydawnictwo Naukowe Uniwersytetu Szczecińskiego, Szczecin. 5. Gassmann O., Sauer R. (2016), Kreative Zerstörung 4.0, [in:] Wirtschaftspolitische Blätter 2/2016. 6. Gersch M. (2000), E-Commerce: Einsatzmöglichkeiten und

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A Model of Website Quality-Based E-Commerce Satisfaction Index

., 2010. Shopping motives as antecedents of e-satisfaction and e-loyalty. Journal of Marketing Management, 27(1-2), 181-197. doi: http://dx.doi.org/10.1080/0267257X.2010.489815 Cyr, D., 2008. Modeling Web Site Design Across Cultures: Relationships to Trust, Satisfaction, and E-Loyalty. Journal of Management Information Systems, 24(4), 47-72. doi: http://dx.doi.org/10.2753/MIS0742-1222240402 Eid, M. I., 2011. Determinants of e-commerce customer satisfaction, trust, and loyalty in Saudi Arabia. Journal of Electronic Commerce Research, 12

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E-commerce and its impact on retail stores in Slovakia

. Bratislava: Vydavateľstvo Ekonóm Kráľ, M. (2018). Ako vyzerá slovenský ecommerce trh. Retrieved March 14, 2019, from https://www.ecommercebridge.sk/ako-vyzera-slovensky-e-commerce-trh-rychlyprehlad/ Nielsen. (2018). Online nakupovanie: móda na prvom mieste. Retrieved March 14, 2019, from https://www.nielsen.com/sk/sk/insights/news/2018/online-shoppingfashion-first.html Pravda. (2012). Kamenný či internetový ? Každý obchod má svoje čaro. Retrieved March 16, 2019, from https://peniaze.pravda.sk/spotrebitel/clanok/26321-kamenny

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Consumer Trust in E-Commerce: The Case of Poland

Economy Policy , 3 (18), 345–362. European Commission (2015). Consumer Conditions Scoreboard, Consumers at home in the Single Market. Gemius (2017). Retrieved from: https://www.gemius.pl/wszystkie-artykuly-aktualnosci/najnowsze-dane-o-polskim-e-commerce-juz-dostepne.html (8.12.2017). Hallikainen, H., Laukkanen, T. (2018). National culture and consumer trust in e-commerce, International Journal of Information Management , 38 , 97–106. Hofstede, G. (2011). Kultury i Organizacje: zaprogramowanie umysłu. Warszawa: PWE. Okoli, C., Mbarika

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Level of development of e-commerce in EU countries

References 1. Barska, A. (2014). Zaufanie konsumentów generacji Y wobec handlu elektronicznego. W: Handel Wewnętrzny w Polsce 2009-2014 , pp. 368-385. 2. Bartczak, K. (2016). Bariery rozwojowe handlu elektronicznego. Exante. 3. European B2C E-commerce Report 2016, Ecommerce Europe, Brussels. 4. Gregor, B., Kalińska-Kula, M. (2018). Rozwój handlu internetowego i jego uwarunkowania–perspektywa oferenta i nabywcy. Handel Wewnętrzny, No. 4 , pp. 110-120. 5. Hartman, A. Sifonis, J. Kador, J.v (2001). E-biznes. Strategie sukcesu w

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Technology acceptance model in e-commerce segment

Abstract

Consumer behaviour analysis is a key aspect for the success of e-business. The main objective of the study is to analyse the impact of selected user experience factors on e-commerce web site visiting (technology). The objective of the study is to create a model that will explain the impact of each major factor on the user experience and the re-visit of the e-shop. To explain the use of e-commerce technology, in the second part we have modified the original technology acceptance model (TAM) with other constructs. Specifically, there are modern technologies such as social networks or mobile apps that affect the use of e-shops. The TAM model is one of the most used models of what the system uses to identify the perceived usefulness and perceived simplicity of use from the user’ side. For the main advantage of our study, we consider that we have highlighted the importance of the factor of modern technology and therefore of social networks, mobile applications and contextual advertising. This factor, along with the other two factors, has been incorporated into our model and has shown that modern technologies have a direct impact and are therefore directly related to the frequency using the e-commerce websites.

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