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The purpose of this paper is to focus on Koha enterprise resource planning system and its potential impact on information management organizations in Kenya against the risks and myths associated with the solution.

The study focused on selected scan and analysis of information management organizations using Koha enterprise resource planning system in addition to document or desk review analysis. Expert opinions and ideas of information professionals, especially information systems and information leaders, also provided vital knowledge.

Koha enterprise resource planning system as the premier and leading free and open-source software is transforming and integrating information services in knowledge-based organizations. Driving significant forces include economical benefits, global customer base, free use and distribution, technical and online support, compatibility and integration with other technologies and global access to information and organization of knowledge. The study also established that the risks and myths associated with the system such as compatibility and integration with other technological solutions are no longer possible challenges. Koha provides business intelligence and cloud computing solutions over proprietary or commercial systems for managing and supporting information in organizations.

This study purposively focused on selected information and knowledge management organizations using the Koha free and open-source enterprise resource planning system in addition to expert opinions and ideas of stakeholders in the information industry.

Koha enterprise resource planning system provides alternative solutions to information organizations already burdened with limited financial resources. In addition, it proves to the entire world that the solution that was developed for rural and small-based information organizations has developed into a leading knowledge enterprise resource planning solution. In information management organizations, Koha enterprise resource planning system is the strategic asset whose growth and use has increased tremendously across the globe.

Potential widespread application and usage of the Koha enterprise resource system that was initially developed for rural and small information organizations is proof enough that the free and open-source software movement can produce best solutions that are economically viable over proprietary systems. Significant impact of the enterprise system across the globe indicates that information management organizations, information professionals and leaders are satisfied with the system.

In the knowledge-based economy, where technological systems and solutions are fundamental for quality delivery of services to the customers, information professionals must and as always provide the necessary technology, leadership and management qualities. Across the world, Koha free and open-source enterprise resource planning system is increasingly gaining momentum in information management organizations, and Kenyan information professionals are no exception.

The key trends in emerging ICT integration choices for cost‐effective, flexible knowledge integration, work‐flow‐embedded evaluation and eCRM‐driven value innovation are examined. Enterprise knowledge integration initiatives can create socio‐technical and cultural tensions as well as possible straitjacketing of business process architectures thus suppressing responsive business re‐engineering and causing loss of competitive advantage for some companies. A framework, C‐assure, is presented for optimising knowledge integration, impact analysis and evaluation to support innovation throughout the various interacting enterprise lifecycles.

The purpose of this paper is to show how intelligence techniques have been used in information management systems.

The results of a literature review on intelligence decision systems used in enterprise information management are analyzed. The intelligence techniques used in enterprise information management are briefly summarized.

Intelligence techniques are rapidly emerging as new tools in information management systems. Especially, intelligence techniques can be used to utilize the decision process of enterprises information management. These techniques can increase sensitiveness, flexibility and accuracy of information management systems. The hybrid systems that contain two or more intelligence techniques will be more used in the future.

The intelligence decision systems are briefly introduced and then a literature review is given to show how intelligence techniques have been used in information management systems.

Enterprise Systems are comprehensive and complex applications that form the core business operating system for many companies worldwide and throughout most industries. The selection, implementation, use and continuous change of Enterprise Systems (ES) (e.g. mySAP.com) require a great amount of knowledge and experience. Due to the lack of in‐house ES knowledge and the high costs of engaging experienced implementation consultants, organizations realize the need to better leverage their knowledge resources. Managing this knowledge is increasingly important with the second wave of ES projects focusing E‐Business applications like Customer Relationship Management (CRM) and Supply Chain Management (SCM). These new applications embrace an open‐integration strategy that will incorporate and support other vendors’ applications as part of its Internet‐based enterprise computing platform. This paper proposes a framework for managing knowledge in Enterprise Systems. The framework draws its strength from meta‐case studies and comprehensive literature analyses, which is consolidated into a three‐dimensional framework. The preliminary results show that the importance of value‐adding activities and innovation are elemental to knowledge management in the aspect of ES.

This paper aims to systematically expound the theory and development background of supply chain finance and blockchain, design a railway freight supply chain financial platform based on blockchain, determine the risk management system and business support system of supply chain finance business and analyze the value generated by the combination of supply chain finance business and blockchain.

Investigation and research method; Prototype method; Model method; Value analysis.

The business model integrating supply chain finance and blockchain technology will bring great changes to freight industry. The development of supply chain finance is beneficial to the healthy development of the core participants of railway freight transport business and its upstream and downstream ecosystems. It links commerce, logistics, warehousing and financial services together and builds an industry-integrated ecological service platform through information technology platform and supporting system, taking data as the basis and combining information technology such as blockchain as innovative means.

This paper will provide important reference value for related research. This paper innovatively designs the supply chain financial platform of freight transportation industry-integrating blockchain technology and analyzes its business model, technical system, risk management and control system and value system in detail, which will provide technical support for the innovative reform of freight information technology and realize the stable and high-speed development of freight logistics informationization.

This study aims to develop a software agent-knowledge procurement management tool to address uncertainties from external and internal environments, such as record failure, slow logistics auditing and distribution delay toward improving procurement management in retailing enterprises.

Quantitative methodology was used to collect data using a self-administered survey from randomly selected procurement staffs, marketers and customers to measure their perception regarding the feasibility and acceptance of the implemented agent-knowledge-based procurement management tool.

Results from empirical analysis reveal that the implemented tool facilitates collaboration and interaction among buyers, sellers and procurement managers toward enhancing procurement managers’ flexibility to handle unexpected exceptions. In addition, results confirm the feasibility of the implemented tool in supporting procurement management toward handling inventory failure exception, which occurs in traditional procurement approaches. Moreover, descriptive results from user acceptance test verify that the tool was accepted by the respondents.

The limitation of this study is that the implemented tool is evaluated using data collected from respondents in Malaysia retailing enterprise only; thus, the results cannot be generalized to other enterprises and country. In addition, research implications from this study design a methodological and comprehensive software agent-knowledge-based model that support buyers, sellers and procurement managers with information to facilitate buying and selling operations.

Practically, the designed software agent-knowledge-based model describes how software agents collaborate with each other to facilitate procurement tasks and also use the knowledge base in the implemented tool to provide information sharing platform that manages the dynamics of procurement operations.

This research integrates software agents which are autonomous programs that carryout pre-defined task on behalf of end users. Socially, this study would be useful for procurement managers in developing mechanisms for instilling insights in retailing operations.

This research is among the first to attempt to develop a software agent-knowledge-based model to support procurement management in the retailing enterprise domain. It contributes to promote e-procurement practices by implementing a software agent-knowledge-oriented tool to address uncertainties experienced in retailing enterprise. It is envisaged that this study will provide basis for future research into e-procurement practices for retailing businesses in Malaysia and beyond.

The purposes are to explore corporate financial management optimization in the context of big data and provide a sustainable financial strategy for corporate development.

First, the shortcomings of the traditional financial management model are analyzed under the background of big data analysis. The big data analytic technology is employed to extract financial big data information and establish an efficient corporate financial management model. Second, the deep learning (DL) algorithm is applied to implement a corporate financial early-warning model to predict the potential risks in corporate finance, considering the predictability of corporate financial risks. Finally, a corporate value-centered development strategy based on sustainable growth is proposed for long-term development.

The experimental results demonstrate that the financial early-warning model based on DL has an accuracy of 90.7 and 88.9% for the two-year financial alert, which is far superior to the prediction effect of the traditional financial risk prediction models.

The obtained results can provide a reference for establishing a sustainable development pattern of corporate financial management under the background of big data.

This study aims to empirically investigate the relationship between enterprise risk management (ERM) and information technology (IT) security within the financial sector.

Risk officers of financial institutions licensed by the Central Bank of Ghana constituted the sample frame. A structured questionnaire was used to elicit data from the respondents. The structural equation modeling method was employed to analyze the hypothesized model.

The results revealed that ERM has a strong positive substantial effect on IT security within financial institutions. However, organizational culture failed to moderate the relationship between ERM and IT security.

A well-managed risk helps to eliminate ineffective, archaic and redundant technology as the originator of rising perils and organizational concerns in today's corporate financial institutions since ERM established a substantially strong positive correlation among the variables.

ERM studies in the African context are rare. This paper adds to contemporary literature by providing a new perspective toward the understanding of the relationship between ERM and IT security, especially in the financial industry.

As the dynamics of the external environment of the enterprise continue to increase, the support of information systems for organizational agility becomes increasingly important. Collaborative Management System (CMS) is a new type of information system that can cope with the dynamic changes of the organization. Effective knowledge transfer is the core of the system implementation. The purpose of this study is to explore the knowledge transfer barriers faced by CMS in its implementation process.

Through field interviews with a representative CMS provider, this paper summarizes the barriers of knowledge transfer during CMS implementation into three aspects.

Based on the innovative measures taken by the company and relevant literature, the corresponding mitigating strategies are proposed.

The findings enrich the implementation methodology of agile information systems by exploring the knowledge transfer problem from a novel context. The study also provides a reference for practical implementation to overcome the dilemma of knowledge transfer.

In the context of the digital economy, information technology (IT) investment has become a necessary way for enterprises to transform digitally. However, why and how IT investment can enhance digital transformation is lacking in the literature. Based on the resource-based view (RBV), this study explored the impact mechanism of IT infrastructure on the digital transformation of enterprises from the perspective of the digital transformation strategy. Further, this study examined the moderating role of top management on the relationships between IT infrastructure and digital transformation strategy and between digital transformation strategy and enterprise's digital transformation.

Through a questionnaire survey of Chinese enterprises, 180 sample data were collected, and the partial least squares-structural equation modeling (PLS-SEM) method was used to test the hypothesis.

Digital transformation strategy fully mediates the relationship between IT infrastructure and enterprise digital transformation. Furthermore, top management has a significant positive moderating effect on the relationship between IT infrastructure and digital transformation strategy, as well as the relationship between digital transformation strategy and digital transformation.

This study explores the moderating role of top management in the relationship between IT and enterprise performance, as well as the mediating role of digital transformation strategy in the relationship between IT infrastructure investment and digital transformation performance. As a result, the study adds significantly to the body of knowledge on IT business value, digital transformation and strategic management. The authors' findings can help update managers' perceptions of IT value and provide theoretical guidance on deriving digital transformation performance from IT infrastructure investments.