The market trends rapidly changed over the last two decades.The primary reason is the newly created opportunities and the increased number of competitors competing to grasp market share using business analysis techniq...The market trends rapidly changed over the last two decades.The primary reason is the newly created opportunities and the increased number of competitors competing to grasp market share using business analysis techniques.Market Basket Analysis has a tangible effect in facilitating current change in the market.Market Basket Analysis is one of the famous fields that deal with Big Data and Data Mining applications.MBA initially uses Association Rule Learning(ARL)as a mean for realization.ARL has a beneficial effect in providing a plenty benefit in analyzing the market data and understanding customers’behavior.An important motive of using such techniques is maximizing the business profit as well as matching the exact customer needs as closely as possible.In this survey paper,we discussed several applications and methods of MBA based on ARL.Also,we reviewed some association rule learning measurements including trust,lift,leverage,and others.Furthermore,we discuss some open issues and future topics in the area of market basket analysis and association rule learning.展开更多
Identification and responsiveness towards customer needs is a notion that rests deeply in the heart of the marketing concept, and has been discussed in various fields of business and economic literature. At the same t...Identification and responsiveness towards customer needs is a notion that rests deeply in the heart of the marketing concept, and has been discussed in various fields of business and economic literature. At the same time literature in port economics and management has proposed various means for analyzing market conditions, overcoming competitive pressures in the port industry and pursuing sustainable competitive advantage. In line with this discussion, albeit with a significant time delay, port economics and management literature has also proposed the use of marketing strategies as a strategic tool towards achieving port competitiveness. However, the early approaches to port marketing, mainly based on consumer marketing principles, where followed by scarce references, mainly dealing with particularities of marketing implementation in ports and terminals. This paper attempts to provide a solid theoretical background to the notion, the need and the applicability of the marketing concept in the container port industry. It investigates the preconditions under which port marketing strategies are designed and formulated, by measuring the level of market orientation of ports and terminals. Furthermore, it attempts to examine the impact of market orientation on port performance, under the mediating role of marketing tactics and the moderating effect of the ports'/terminals' internal and external environment.展开更多
11 September 2014, Hong Kong: Smartphones will account for two out of every, three mobile connections globally by 2020, according to a major new report by GSMA In- telligence, the research arm of the GSMA. The new st...11 September 2014, Hong Kong: Smartphones will account for two out of every, three mobile connections globally by 2020, according to a major new report by GSMA In- telligence, the research arm of the GSMA. The new study, "Smartphone forecasts and assumptions, 2007- 2020", finds that smartphones account for one in three mobile conneetions today, representing more than two billion mobile connections. It forecasts that the number of smartphone connections will grow three-fold over the next six years,展开更多
Big data analytics have been embraced as a disruptive technology that will reshape business intelligence,particularly marketing intelligence,which has have traditionally relied on market surveys to understand consumer...Big data analytics have been embraced as a disruptive technology that will reshape business intelligence,particularly marketing intelligence,which has have traditionally relied on market surveys to understand consumer behavior and product design.In this paper,we investigate how big data analytics will affect the landscape of business intelligence,leading to big data intelligence.Rooted in the recent literature,we delineate business opportunities and managerial challenges brought forward by the emergence of big data analytics and outline a number of research directions in big data intelligence for business.展开更多
文摘The market trends rapidly changed over the last two decades.The primary reason is the newly created opportunities and the increased number of competitors competing to grasp market share using business analysis techniques.Market Basket Analysis has a tangible effect in facilitating current change in the market.Market Basket Analysis is one of the famous fields that deal with Big Data and Data Mining applications.MBA initially uses Association Rule Learning(ARL)as a mean for realization.ARL has a beneficial effect in providing a plenty benefit in analyzing the market data and understanding customers’behavior.An important motive of using such techniques is maximizing the business profit as well as matching the exact customer needs as closely as possible.In this survey paper,we discussed several applications and methods of MBA based on ARL.Also,we reviewed some association rule learning measurements including trust,lift,leverage,and others.Furthermore,we discuss some open issues and future topics in the area of market basket analysis and association rule learning.
文摘Identification and responsiveness towards customer needs is a notion that rests deeply in the heart of the marketing concept, and has been discussed in various fields of business and economic literature. At the same time literature in port economics and management has proposed various means for analyzing market conditions, overcoming competitive pressures in the port industry and pursuing sustainable competitive advantage. In line with this discussion, albeit with a significant time delay, port economics and management literature has also proposed the use of marketing strategies as a strategic tool towards achieving port competitiveness. However, the early approaches to port marketing, mainly based on consumer marketing principles, where followed by scarce references, mainly dealing with particularities of marketing implementation in ports and terminals. This paper attempts to provide a solid theoretical background to the notion, the need and the applicability of the marketing concept in the container port industry. It investigates the preconditions under which port marketing strategies are designed and formulated, by measuring the level of market orientation of ports and terminals. Furthermore, it attempts to examine the impact of market orientation on port performance, under the mediating role of marketing tactics and the moderating effect of the ports'/terminals' internal and external environment.
文摘11 September 2014, Hong Kong: Smartphones will account for two out of every, three mobile connections globally by 2020, according to a major new report by GSMA In- telligence, the research arm of the GSMA. The new study, "Smartphone forecasts and assumptions, 2007- 2020", finds that smartphones account for one in three mobile conneetions today, representing more than two billion mobile connections. It forecasts that the number of smartphone connections will grow three-fold over the next six years,
基金This paper was supported by the The Shenzhen Nanshan Science and Technology Innovation Bureau,[grant number KC2013RKRK0020A].
文摘Big data analytics have been embraced as a disruptive technology that will reshape business intelligence,particularly marketing intelligence,which has have traditionally relied on market surveys to understand consumer behavior and product design.In this paper,we investigate how big data analytics will affect the landscape of business intelligence,leading to big data intelligence.Rooted in the recent literature,we delineate business opportunities and managerial challenges brought forward by the emergence of big data analytics and outline a number of research directions in big data intelligence for business.