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This paper seeks to describe the use of edge‐detection as an approach to support the process of analyzing visual scenes.

Edges‐detection is considered as a KM technique task. Several edge‐detection algorithms were discussed but Canny method was chosen in conjunction with JAVA to find the edges of an image.

The paper provides an overview of knowledge need by the visual scene analyst. It reviews the process of extracting knowledge from image data. Finally, the paper looks at the management aspects of image‐edge detection.

Experiments herein have proved the method robustness by considering edge‐detection as a knowledge management technique for visual scene analysis by deriving knowledge from semantic information based on object boundaries shadow.

The purpose of this paper is to develop a multi‐user electronic bill presentment and payment (EBPP) model that would enhance the present billing systems as well as overcome the problems of periodic generation of billing reports and mail volumes.

The paper evaluates three existing models of EBPP: Biller‐direct, consolidation, and invited pull models and identifies their limitations. Then, the thin consolidation model approach is modified by developing an Extensible Hypertext Markup Language based architecture that is capable of consolidating billing reports from a variety of disparate heterogeneous sources. The modified model is implemented using two case studies.

The modified consolidation model of the EBPP enhances quick subsequent notification of bills to the consumer for goods or services previously rendered. In the model, a user could pay for multiple services rendered by companies; this in turn overcomes mail volumes.

This paper develops a data integration and unification architecture that will allow billing reports from multiple billers to be integrated into a unified database.

This paper aims to focus on online fraud occurrence in retailing banking sectors both in the UK and China. Online financial transactions bring convenience to individuals dramatically and improve banking service quality efficiently. However, the latest service channel, Internet, has been exploited by fraudsters excessively, standing at a huge monetary loss worldwide.

In aspects of demographic factors, financial activities and IT usage, results would benefit financial organisations and local authorities in strengthening customers’ education and improving policymaking. The fraud occurrence model is empirically tested using quantitative data, and comparison is discussed using qualitative data collected in both countries.

The findings provide solid understanding of customers’ behaviours towards online financial transactions and fraud occurrence internationally. As the main implication, customer education is proposed to benefit financial organisations in both countries. According to the data collection process and the data analysis results, individual customers are aware of banking policies and practices to some extent. Particularly in China, customers’ satisfaction level is relatively lower and service quality is not reasonable in most circumstances.

The research experiences gained from this study suggest a number of areas for future research, particularly the under-researched area of fraud. Rather than approaching the research questions through individuals, there would be much value in working with merchants and financial organisations that are dealing with financial transactions and fraud on a daily basis.

By combining three approaches (demographic factors, financial activities and IT usage), this study is trying to develop a comprehensive and statistical understanding of online fraud occurrences.

The purpose of this paper is to investigate factors affecting e-banking usage based on electronic service (e-service) quality, attitude and customer satisfaction.

A conceptual model to investigate factors that influence e-banking usage was developed based on review of existing literature. The model employed e-services quality variable, diffusion of innovation construct and self-efficacy to better reflect the users’ views of e-banking usage. Data collected from 254 e-banking users were used to test the model. The data were analysed based on PLS-SEM using SmartPLS 3.0.

The result reveals that perceived e-service quality has a strong influence on customer satisfaction and use of e-banking, which means that greater quality of e-service has the potential to increase satisfaction and consequently result in to more use of e-banking. In this research findings, competence of e-service support staff, system availability, service portfolio, responsiveness and reliability, in that order, were found to be most significant in rating e-service quality.

This offers financial institutions and professional relevant information e-banking services that will promote greater customer satisfaction and use of e-banking.

This paper contributes to knowledge advancement in bank marketing by providing insight into motivational factors of e-banking services quality and personal characteristics.

Although the value of artificial intelligence (AI) has been acknowledged by companies, the literature shows challenges concerning AI-enabled business-to-business (B2B) marketing innovation, as well as the diversity of roles AI can play in this regard. Accordingly, this study investigates the approaches that AI can be used for enabling B2B marketing innovation.

Applying a bibliometric research method, this study systematically investigates the literature regarding AI-enabled B2B marketing. It synthesises state-of-the-art knowledge from 221 journal articles published between 1990 and 2021.

Apart from offering specific information regarding the most influential authors and most frequently cited articles, the study further categorises the use of AI for innovation in B2B marketing into five domains, identifying the main trends in the literature and suggesting directions for future research.

Through the five identified domains, practitioners can assess their current use of AI and identify their future needs in the relevant domains in order to make appropriate decisions on how to invest in AI. Thus, the research enables companies to realise their digital marketing innovation strategies through AI.

The research represents one of the first large-scale reviews of relevant literature on AI in B2B marketing by (1) obtaining and comparing the most influential works based on a series of analyses; (2) identifying five domains of research into how AI can be used for facilitating B2B marketing innovation and (3) classifying relevant articles into five different time periods in order to identify both past trends and future directions in this specific field.

The aim of this study is to provide a holistic analysis of all possible maritime business logistics processes related to import and export shipments in a fuzzy environment through a case study of a maritime logistics company based on the as-is and to-be models within business process management (BPM).

The analyses considered the following perspectives: (i) in the stage of the process identification, the definition of the problem was carried out; (ii) in the stage of the process discovery, ocean department was divided into ocean export/import operation departments; ocean export/import operation were divided into freight collect/prepaid operation processes; ocean export/import logistics activity groups were broken down into sub-activities for freight collect/prepaid operation; the logistics activity groups and their sub-activities were defined; each sub-activity as either operation or documentation process group was classified; the durations of sub-activities were evaluated by decision-makers (DMs) as fuzzy sets (FSs); the monthly total jobs activities were estimated by DMs as FSs; the applied to monthly jobs activities of total shipments were estimated by DMs as FSs; the durations of each sub-activities were aggregated; the duration of the logistics activity groups and the sub-activities for per job were calculated; the cumulative workload of logistics activity groups and sub-activities were calculated; the duration of sub-activities for per job as operation or documentation departments were calculated, (iii) in the stage of the process analysis, cumulative ocean export/import workload as operation or documentation for freight collect/prepaid were calculated; duration of activity groups and sub-activities for per job as operation or documentation were calculated; cumulative workload activity groups and sub-activities as operation or documentation were calculated, (iv) in the stage of the process redesign, cumulative workload, process cycle time as operation and documentation group and required labor force were calculated; the process cycle time of the theoretical, the as-is model and the to-be model were calculated: (i) the theoretical minimum process cycle time without resource were calculated by the critical path method (CPM), (ii) the process cycle time of the as-is model perspective with the 1 person resource constraint and (iii) the process cycle time of the to-be model perspective with the 2-person resource constraint were calculated by the resource constrained project scheduling problem (RCPSP) method.

The methodology for analyzing the ocean department operation process was successfully implemented in a real-life case study. It is observed that the results of the to-be model can be applicable for the company. The BPM-proposed methodology is applicable for the maritime logistics industry in the present study; however, it can be applied to other companies in maritime logistics as well as other industries.

This study contributes to research using BPM methodology in maritime logistics. This is the first study the logistics process analyses were carried out in terms of including all operation processes for a company. All processes were analyzed by using BPM methodology in maritime logistics. This study demonstrated the application of the BPM as-is and to-be models to maritime logistics. The as-is and the to-be models of the BPM methodology were applied in maritime logistics.

This methodology applied in this study can enable organizations operating in the time-urgent maritime logistics sector to manage their logistics processes more efficiently, increase customer satisfaction, reduce the risks of customer loss due to poor operational performance and increase profits in the long term. Through the use of these methodologies utilizing FSs, the CPM and the RCPSP methods, this study is expected to make contributions to the BPM literature and provide original insights into the field. Furthermore, this study will undertake a comprehensive analysis of maritime logistics with respect to BPM to deliver noteworthy contributions to the maritime logistics literature and provide original perspectives into the field.

Je crois devoir vous donner connaissance dès l'abord, de la façon dont un groupe d'experts fran‐çais a voulu traiter le rapport de base que je leur avais fait réserver.

The purpose of this study is to consolidate the state of research in mobile commerce (m-commerce) technology adoption from 2008 to 2017. This study not only reviews the evolution of m-commerce literature but also highlights the significant contribution of authors and their productive collaborations in the development of this area.

A total of 184 peer-reviewed articles focusing on m-commerce adoption were obtained after applying search criteria on Scopus database. After using inclusion and exclusion criteria to achieve the objective of this study, 86 journals were shortlisted. The study further discusses the dispersion of various m-commerce applications being explored in m-commerce literature. In addition, dominating technology adoption theories and the most used keywords have also been identified and discussed in this study.

This study indicates that technology acceptance model and unified theory of acceptance and use of technology are the most exploited technology adoption theories. Moreover, the dominating constructs in literature are perceived usefulness, ease of use social influence/social norm on behavior intention, attitude intention followed by performance expectancy, facilitating condition and effort expectancy influence on intention.

This study presents a detailed association rule mining and community analysis to show the association among constructs such as usefulness, ease of ease, social influence and intention as dominant group in this area. The study also identifies lesser explored constructs and indicates possible future research to validate and strengthen their understanding further.

The purpose of this study is to examine the attitude of faculty members towards knowledge-sharing in the University of Education, Lahore. The impact of personal and organizational factors that may contribute to effective knowledge-sharing among the university’s teaching staff is also analyzed. The factors affecting the willingness of the faculty members to share knowledge are broadly classified as “organizational” and “personal” factors.

A questionnaire-based survey was conducted on permanent teaching staff working at different campuses of the University of Education all over the province of Punjab, Pakistan. The survey instrument for this study was adapted from four studies. The questionnaires were distributed among 246 faculty members personally.

The findings of the study showed that the faculty members were familiar with the importance of knowledge-sharing and were also interested in sharing their knowledge and expertise with others. The results showed that organizational factors (trust, reward system and organizational culture) played a vital role in enhancing the knowledge-sharing attitude of faculty members. The impact of these factors on knowledge-sharing attitude was significant.

This is the very first study which explored the personal and organizational factors of knowledge-sharing in a specific academic institution from Pakistan. The findings of the research provided useful insights to the management of the University of Education particularly and other universities in general to design strategies for enhancing knowledge-sharing culture in the higher education institution. These findings may also be helpful for other developing countries.

President Bill Clinton has had many opponents and enemies, most of whom come from the political right wing. Clinton supporters contend that these opponents, throughout the Clinton presidency, systematically have sought to undermine this president with the goal of bringing down his presidency and running him out of office; and that they have sought non‐electoral means to remove him from office, including Travelgate, the death of Deputy White House Counsel Vincent Foster, the Filegate controversy, and the Monica Lewinsky matter. This bibliography identifies these and other means by presenting citations about these individuals and organizations that have opposed Clinton. The bibliography is divided into five sections: General; “The conspiracy stream of conspiracy commerce”, a White House‐produced “report” presenting its view of a right‐wing conspiracy against the Clinton presidency; Funding; Conservative organizations; and Publishing/media. Many of the annotations note the links among these key players.