عوامل مؤثر بر پذیرش سیستم سفارش غذای آنلاین از دیدگاه مشتریان

منابع

اسماعیلی، محمود رضا (1394). بررسی رابطه هوش سازمانی بر قابلیت یادگیری سازمانی. نشریه مدیریت فردا، دوره 5، شماره 44.

بخشنده، سمیه، رحمتی، محمدحسین. (1395). بررسی هم‌راستایی قابلیت‌ها و اجزای هوش تجاری در راستای ایجاد مزایای هوش تجاری، مطالعه موردی، شرکت‌های کوچک و متوسط شهر تهران. نشریه مدیریت فناوری اطلاعات، دوره 8، شماره 1.

کریمی جشنی، جابر، مردانی، مجید، مردانی، حسین، مردانی، محسن، (1391). شناسایی عوامل و راهکارهای مناسب جهت ترغیب کارکنان با استفاده از فناوری‌های نوین در سازمان. نشریه مدیریت فردا، شماره 30، 1391.

Agha Muhammad Ali Khan, Nadia Amin, Nick Lambrou.) 2010(. Drivers and Barriers to Business Intelligence Adoption: A Case of Pakistan. European and Mediterranean Conference on Information Systems.

Aruldoss, M. Travis, M.L. & Venkatesan, P. (2015). A reference model for business intelligence to predict bankruptcy. Journal of Enterprise Information Management, 28(2), 186- 217.

Arefin, SH. Hoque, R. &Bao, Y. (2015). The impact of business intelligence on organizations effectiveness: an empirical study. Journal of System and Information Technology, 17(3): 263-285.

Antonella Ferrari, Cecilia Rossignoli, and Alessandro Zardini. (2011). Enabling Factors for SaaS Business Intelligence Adoption: A Theoretical Framework Proposal. Information Technology and Innovation Trends in Organizations, Springer-Verlag Berlin Heidelberg.

Betsy H. Sparks, Jack T. McCann. (2015). Factors influencing business intelligence system use in decision making and organizational performance, Sustainable Strategic Management, 5(1), 121-135.

Denis Pedyash, Sergey Kokin, Alexey V. Belov, Tienan Wang, Chunsheng Shi. (2013). The Influence of Organizational Structure On The Business Intelligence Implementation Process (Focused in Canadian And Russian Enterprises Based in China), Advances in information Sciences and Service Sciences(AISS), 5(7), 58-72.

Emil Badilescu- Buga. (2013). Knowledge behavior and social adoption of innovation, Information Processing and Management, 49(1), 902–911.

Hsinchun Chen, Roger H. L. Chiang, Veda C. Storey. (2012). Business Intelligence and analytics: From Big Data To Big Impact, MIS Quarterly,36(4), 1165-1188.

Joyce D. Jackson, Mun Y. Yi, Jae S. Park. (2013). An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology. Information & Management, 50(3), 154–161.

Jalonen, H. &Lönnqvist, A. (2009). Predictive business fresh initiative or old wine in a new bottle. Management Decision, 47(10), 1595-1609.

Kaashief Hartley, Lisa F Seymour. (2011). Towards a framework for the adoption of Business Intelligence in public sector organizations: the case of South Africa, Business Intelligence Conference.

Maira Petrinia,Marlei Pozzebon. (2009). Managing sustainability with the support of business intelligence: Integrating socio-environmental indicators and organizational context, Journal of Strategic Information Systems.

Olszak, C. M. & Ziemba, E. (2010). Business performance management for competitive advantage in the information economy. Journal of Internet Banking and Commerce, 15(3): 93-104.

Olszak, C. M. &Ziemba, E. (2012). Critical Success Factors for Implementing Business Intelligence Systems in Small and Medium. Journal of Information, Knowledge, and Management, 7(2), 2-10.

ÖyküIşık, Mary C. Jones b, Anna Sidorova. (2013). Business intelligence success: The roles of BI capabilities and decision environments. Information & Management, 50(3), 13–23.

Olawale Adelakun, Thomas Kemper. (2010). Software-as-a-Service Business Intelligence: Adoption Criteria and Business Value. Master 's Thesis in Informatics.

Paul Hawking, Susan Foster, Andrew Stein. (2008). The adoption and use of business intelligence solutions in Australia, Intelligent Systems Technologies and Applications, 4(2), 33-49.

Sutee Sujitparapitaya, Ashraf Shirani, MaluRoldan. (2012). Business Intelligence Adoption in Academic Administration: an Empirical Investigation. Information Systems, 13(2), 112-122.

Suresh Malladi, Stephen M. Ross. (2013). Adoption of Business Intelligence & Analytics in Organizations – An Empirical Study of Antecedents. Proceedings of the Nineteenth Americas Conference on Information Systems, Chicago, Illinois, August 15-17.

Suresh Malladi, M.S. Krishnan. (2014). Determinants of Usage Variations of Business Intelligence & Analytics in Organizations–An Empirical Analysis. PhD Thesis School of Business University of Michigan, Ann Arbor, USA.

Singha Chaveesuk. (2010). The Determinants of the Adoption and Application of Business Intelligence: An ERP Perspective. A Thesis Submitted in Fulfilment of the Requirements for the Degree of Doctor of Philosophy, School of Management and Information Systems Faculty of Business and Law Victoria University.

Scholz, Patrick, Schieder, Christian, Kurze, Christian, Gluchowski, Peter, Boehringer, Martin. (2012). Benefits and Challenges of Business Intelligence Adoption in Small and Medium-Sized Enterprises. 18th European Conference on Information Systems.

Saji K. Mathew. (2012). Adoption of business intelligence systems in Indian fashion retail. Business Information Systems, 9(3), 125-139.

Thiagarajan Ramakrishnan, JibanKhuntia, Abhishek Kathuria, Terence Saldanha. (2016). Business Intelligence Capabilities and Effectiveness: An Integrative Model.49th Hawaii International Conference on System Sciences.

William Yeoh, AlešPopovic. (2016). Extending the Understanding of Critical Success Factors for Implementing Business Intelligence Systems, Journal of the Association for Information Science and Technology.

William Yeoh, Andy Koronios. (2010). Critical Success Factors for Business Intelligence Systems, Journal of computer information systems, 50(3), 23-32.

Yuantao Jiang. (2009). A Conceptual Framework and Hypotheses for the Adoption of E-business Intelligence, International Colloquium on Computing, Communication, Control and Management.