Revisiting the Use of Customer Information for CRM

For the past decade, customer relationship management (CRM) has been one of the priorities in marketing research and practice. However, many of the CRM systems did not perform as the companies expected. As such shortcoming could be due to inappropriate data input, this study provides a comprehensive overview of the empirical CRM literature. Along the phases of the CRM process, the authors show which kind of data has successfully proven to achieve the CRM objectives. The study provides researchers with a review of the empirical research on CRM and allows practitioners insights on the usability of customer data for CRM. --Customer Relationship Management (CRM),Customer Data

SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images

Finding clothes that fit is a hot topic in the e-commerce fashion industry. Most approaches addressing this problem are based on statistical methods relying on historical data of articles purchased and returned to the store. Such approaches suffer from the cold start problem for the thousands of articles appearing on the shopping platforms every day, for which no prior purchase history is available. We propose to employ visual data to infer size and fit characteristics of fashion articles. We introduce SizeNet, a weakly-supervised teacher-student training framework that leverages the power of statistical models combined with the rich visual information from article images to learn visual cues for size and fit characteristics, capable of tackling the challenging cold start problem. Detailed experiments are performed on thousands of textile garments, including dresses, trousers, knitwear, tops, etc. from hundreds of different brands.Comment: IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2019 Focus on Fashion and Subjective Search - Understanding Subjective Attributes of Data (FFSS-USAD

Non-business e-commerce in Malaysia: An investigation of key adoption

Problem statement: Non-business EC is a relatively new research niche in the general e-commerce stream. Application of e-commerce by profit oriented organization already become bread and butter but still limited applied in non-business sectors such as academic institutions (as in the present study), non-profit organizations, religious organizations and government agencies. Nowadays e-commerce becomes crucially essential in reducing their expenses and improving their operations.Therefore, application of this new innovation should enhance to no non-business sectors to be livelier.Understanding the key factors of facilitating and adopting the e-commerce in non-business are still need to enrich in particularly within Malaysian context. A field survey was conducted to determine key factors that facilitate the adoption of non-business EC in Malaysian Universities. Approach: One main focus of IT implementation research has been to determine why people accept or reject new technology. The current research will explore why Non-business institutions will accept or reject e- commerce. Since e-commerce adoption decision is a strategic one, a comprehensive list of potential facilitators and non-facilitators for the strategic use of information technology was derived from past research. Thus factors used as the basis for collecting data from 65 schools, centers and units from 5 public universities in Kota Kinabalu and Kuala Lumpur. These data were factor-analyzed to determine the key underlying dimensions of facilitators. On the basis of the resulting 5 dimensions namely, relative advantage, network orientation, information efficiency, innovativeness and competitiveness, regression analysis was done to determine the impact of the 5 dimensions on adoption. Results: They suggest that relative advantage, network orientation and information efficiency are the most important facilitators to the used of e-commerce in non-business sectors. Inhibitors were not estimated eventually, as there were no non-users among the respondents. Conclusion: The results implies the non-business sectors should look into advantages, network orientation and information efficiency as a strategic based for implementing e-commerce in more effective manner to achieve their goals

The Impact of Trust on Acceptance of Online Banking

Major benefits of Online Banking include for banks cost savings, and for customers convenience. Nevertheless, many people perceive Internet banking as risky. This paper introduces a tentative conceptual framework. Trust will be integrated into the Technology Acceptance Model – TAM - (Davis, 1989). Recent research showed that Trust has a striking influence on user willingness to engage in online exchanges of money and personal sensitive information. Detailed literature about Online Banking and Trust is provided. TAM is discussed in depth; external variables that are suitable for the Online Banking context is suggested. In addition the theoretical justification for the conceptual framework integration is discussed. Finally managerial implications and recommendations for Online Banking acceptance are suggested