Towards Aspects Identification in Business Process Through Process Mining

In business process models, elements can be scattered (repeated) within different processes, making it difficult to handle changes, analyze process for improvements, or check crosscutting impacts. These scattered elements are named as Aspects. Similar to the aspect-oriented paradigm in programming languages, in BPM, aspect handling has the goal to modularize the crosscutting concerns spread across the models. This process modularization facilitates the management of the process (reuse, maintenance and understanding). The current approaches for aspect identification are made manually; thus, resulting in the problem of subjectivity and lack of systematization. This paper proposes a method to automatically identify aspects in business process from its event logs. The method is based on mining techniques and it aims to solve the problem of the subjectivity identification made by specialists. The initial results from a preliminary evaluation showed evidences that the method identified correctly the aspects present in the process model

Corporate Social Responsibility Agreements Model for Community Development: The Case of Golden Star (Bogoso/Prestea) Limited and its Mine Local Community

In Ghana, community development is regarded by mine local communities as the most important aspect of Corporate Social Responsibility (CSR), to the extent that often community development is perceived to be a statutory responsibility of mining companies. Consequently, mine local communities demand for more and more, sometimes prohibitively expensive, contributions towards community development. The inability of mining companies to meet all the demands often leads to unsavoury relation between mining companies and their host communities with concomitant adverse effect on mining operations. This constitutes a business risk that needs to be addressed properly by shifting from the earlier practices of making voluntary contributions towards community development to making sustainable community development an integral part of the mining business. This paper presents the evolutionary strategic models, with differing principles and action plans, used by Golden Star (Bogoso/Prestea) Limited (GSBPL) over the years to manage the development of its Bogoso/Prestea Mine Local Community (BPMLC), videlicet from a poor Philanthropic Community Assistance Model (PCAM) to an improved but ineffective Community Driven Assistance Model (CDAM) and eventually to the current effective, successful CSR Agreements Model (CSRAM).  The paper also highlights the lessons learnt from the negotiation process that led to formulation of the CSRAM as well as the benefits and successes resulting from its implementation and the challenges. It is concluded that mutual understanding, tolerance, transparency, trust, commitment and accountability are key to the successful management of CSR and community development. Keywords: Social Responsibility, Agreements Model, Mining Communitie

The perceived quality of process discovery tools

Process discovery has seen a rise in popularity in the last decade for both researchers and businesses. Recent developments mainly focused on the power and the functionalities of the discovery algorithm. While continuous improvement of these functional aspects is very important, non-functional aspects such as visualization and usability are often overlooked. However, these aspects are considered valuable for end-users and play an important part in the experience of these end-users when working with a process discovery tool. A questionnaire has been sent out to give end-users the opportunity to voice their opinion on available process discovery tools and about the state of process discovery as a domain in general. The results of 66 respondents are presented and compared with the answers of 63 respondents that were contacted through one particular software vendor's employee and customer base (i.e., Celonis)

An intelligent recommendation system framework for student relationship management

In order to enhance student satisfaction, many services have been provided in order to meet student needs. A recommendation system is a significant service which can be used to assist students in several ways. This paper proposes a conceptual framework of an Intelligent Recommendation System in order to support Student Relationship Management (SRM) for a Thai private university. This article proposed the system architecture of an Intelligent Recommendation System (IRS) which aims to assist students to choose an appropriate course for their studies. Moreover, this study intends to compare different data mining techniques in various recommendation systems and to determine appropriate algorithms for the proposed electronic Intelligent Recommendation System (IRS). The IRS also aims to support Student Relationship Management (SRM) in the university. The IRS has been designed using data mining and artificial intelligent techniques such as clustering, association rule and classification

Using webcrawling of publicly available websites to assess E-commerce relationships

We investigate e-commerce success factors concerning their impact on the success of commerce transactions between businesses companies. In scientific literature, many e-commerce success factors are introduced. Most of them are focused on companies' website quality. They are evaluated concerning companies' success in the business-to- consumer (B2C) environment where consumers choose their preferred e-commerce websites based on these success factors e.g. website content quality, website interaction, and website customization. In contrast to previous work, this research focuses on the usage of existing e-commerce success factors for predicting successfulness of business-to-business (B2B) ecommerce. The introduced methodology is based on the identification of semantic textual patterns representing success factors from the websites of B2B companies. The successfulness of the identified success factors in B2B ecommerce is evaluated by regression modeling. As a result, it is shown that some B2C e-commerce success factors also enable the predicting of B2B e-commerce success while others do not. This contributes to the existing literature concerning ecommerce success factors. Further, these findings are valuable for B2B e-commerce websites creation

Innovative Corporate Social Responsibility in Botswana: The Debswana Mining Company Study Case

This paper presents a study case on innovative corporate social responsibility as a very important aspect of management planning and, in the process, explores some trends and new ideas pertaining to corporate social responsibility in mining industries. Some pertinent literature is reviewed as a theoretical frame to introduce the presentation of the Debswana Mining Company case to show innovative corporate social responsibility in the mining industries in Botswana