45,936 research outputs found
An Investigation of the Managerial Use of Mobile Business Intelligence
As a new trend in business intelligence (BI), mobile BI has been gaining increasing adoption by managers. However, there is little academic research about the managerial use of mobile BI. Adopting the key constructs of Task-Technology Fit theory and the Unified Theory of Acceptance and Use of Technology as the theoretical lens, this exploratory study aims to deliver a preliminary understanding on why and how managers use mobile BI, from both the managersâ and the vendorâs perspectives. A case study was conducted with a large government authority whose mobile BI vendor is an industry leader worldwide. Semi-structured interviews were carried out with seven senior managers from this organization and the vendor. Through discussing the reasons why managers use mobile BI and their use patterns, a series of emergent propositions are drawn. The empirical results from this study not only contribute to this currently underexplored area of mobile BI, but also help enable the industry to make mobile BI products that better suit managersâ needs.
Available at: https://aisel.aisnet.org/pajais/vol10/iss3/4
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OntoEng: A design method for ontology engineering in information systems
This paper addresses the design problem relating to ontology engineering in the discipline of information systems. Ontology engineering is a realm that covers issues related to ontology development and use throughout its life span. Nowadays, ontology as a new innovation promises to improve the design, semantic integration, and utilization of information systems. Ontologies are the backbone of knowledge-based systems. In addition, they establish sharable and reusable common understanding of specific domains amongst people, information systems, and software agents. Notwithstanding, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. On the basis of the
gathered experience during the development of V4 Telecoms Business Model Ontology as well as the conducted integration of the related literature from the design science paradigm, this paper introduces OntoEng and its application as a novel systematic design
method for ontology engineering
Q&A Platforms Evaluated Using Butler University Q&A Intelligence Index
A new study using the Butler University Q&A Intelligence Index measures how various mobile Q&A platforms deliver quality, accurate answers in a timely manner to a broad variety of questions. Based on the results of our analysis, ChaCha led all Q&A platforms on mobile devices.
Results of the study are based upon review of a large set of responses from each of the major Q&A platforms, coupled with a comparison of disparate Q&A platforms that serve answers in different ways. Our methodology included the creation of a new metric, termed the Butler University Q&A Intelligence Index, which measures the likelihood that a user can expect to receive a correct answer in a timely manner to any random question asked using natural language. We asked questions via mobile services and randomized the questions to cover both popular and long-tail knowledge requests
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The sustainable clothing market: pragmatic strategies for UK fashion retailers
Intelligent Financial Fraud Detection Practices: An Investigation
Financial fraud is an issue with far reaching consequences in the finance
industry, government, corporate sectors, and for ordinary consumers. Increasing
dependence on new technologies such as cloud and mobile computing in recent
years has compounded the problem. Traditional methods of detection involve
extensive use of auditing, where a trained individual manually observes reports
or transactions in an attempt to discover fraudulent behaviour. This method is
not only time consuming, expensive and inaccurate, but in the age of big data
it is also impractical. Not surprisingly, financial institutions have turned to
automated processes using statistical and computational methods. This paper
presents a comprehensive investigation on financial fraud detection practices
using such data mining methods, with a particular focus on computational
intelligence-based techniques. Classification of the practices based on key
aspects such as detection algorithm used, fraud type investigated, and success
rate have been covered. Issues and challenges associated with the current
practices and potential future direction of research have also been identified.Comment: Proceedings of the 10th International Conference on Security and
Privacy in Communication Networks (SecureComm 2014
Switching Cost and Customers Loyalty in the Mobile Phone Market:the Nigerian Experience
Switching cost is one of the most discussed contemporary issues in marketing in attempt to explain
consumer behaviour. The present research studied switching cost and its relationships with customer
retention, loyalty and satisfaction in the Nigerian telecommunication market. Based on questionnaire
administered to customers in the mobile telecommunication industry; the study finds that customer
satisfaction positively affects customer retention and that switching cost affects significantly the level
of customer retention. However, the effect of switching barriers on retention is only significant when
customers consider to exit
Critical success factors for preventing E-banking fraud
E-Banking fraud is an issue being experienced globally and is continuing to prove costly to both banks and customers. Frauds in e-banking services occur as a result of various compromises in security ranging from weak authentication systems to insufficient internal controls. Lack of research in this area is problematic for practitioners so there is need to conduct research to help improve security and prevent stakeholders from losing confidence in the system. The purpose of this paper is to understand factors that could be critical in strengthening fraud prevention systems in electronic banking. The paper reviews relevant literatures to help identify potential critical success factors of frauds prevention in e-banking. Our findings show that beyond technology, there are other factors that need to be considered such as internal controls, customer education and staff education etc. These findings will help assist banks and regulators with information on specific areas that should be addressed to build on their existing fraud prevention systems
An Investigation of How and Why Managers Use Tablets to Support Decision Making
Managers are very mobile and a large proportion of their work is dealing with decisions. Although many managers use tablet computers in their work, there is little research on tabletsâ role in managerial decision support. This study aims to investigate how managers use tablets to support their decision-making and the reasons behind it. Anchoring on Task-Technology Fit theory, interviews were conducted with 17 managers who use tablets for work-related decision-making. The study reveals managersâ tablet usage patterns in terms of location, tablet applications, decision activities and types. This study has also found that a range of tablet characteristics and decision-task characteristics affect managersâ use of tablets to support decision-making at work. This exploratory study contributes to both academia and industry by providing evidence on the tablet decision support area, and affording organisations, tablet vendors and tablet application developers informative findings for further improvement in the provision of tablet-based decision support
Data and Predictive Analytics Use for Logistics and Supply Chain Management
Purpose
The purpose of this paper is to explore the social process of Big Data and predictive analytics (BDPA) use for logistics and supply chain management (LSCM), focusing on interactions among technology, human behavior and organizational context that occur at the technologyâs post-adoption phases in retail supply chain (RSC) organizations. Design/methodology/approach
The authors follow a grounded theory approach for theory building based on interviews with senior managers of 15 organizations positioned across multiple echelons in the RSC. Findings
Findings reveal how user involvement shapes BDPA to fit organizational structures and how changes made to the technology retroactively affect its design and institutional properties. Findings also reveal previously unreported aspects of BDPA use for LSCM. These include the presence of temporal and spatial discontinuities in the technology use across RSC organizations. Practical implications
This study unveils that it is impossible to design a BDPA technology ready for immediate use. The emergent process framework shows that institutional and social factors require BDPA use specific to the organization, as the technology comes to reflect the properties of the organization and the wider social environment for which its designers originally intended. BDPA is, thus, not easily transferrable among collaborating RSC organizations and requires managerial attention to the institutional context within which its usage takes place. Originality/value
The literature describes why organizations will use BDPA but fails to provide adequate insight into how BDPA use occurs. The authors address the âhowâ and bring a social perspective into a technology-centric area
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