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This paper deals with the modelling of an information system for Chinese herbal medicine manufacturing enterprises, describes its structures and functions, and discusses its implementation issues.

A case experience is presented.

Enterprises within this industry have big differences in production and management process and practice. The implementing plan must consider these differences and have adaptable solutions to fit the firm's conditions. It has been found that the information system model proposed here is feasible and can be used not only in other Chinese herbal medicine manufacturing enterprises, but also in other flow‐process industries.

The issues discussed in this paper are common to many Chinese enterprises today, particularly the small and medium‐sized enterprises. The experience described here provides a useful reference for such enterprises’ venture into technological and management process innovation.

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 purpose of this paper is to examine the information gathering methods used during enterprise system (ES) selection among Polish organizations and to have IT consulting experts evaluate these methods, which will result in identification of the preferred approach for the information‐gathering task during system selection.

The research has a qualitative exploratory design with grounded theory being the main research method. A mixed quantitative‐qualitative approach to data collection was used: an e‐mail‐based survey was used as an introductory stage to gather data on information‐gathering methods. The results of the survey were evaluated by ES experts during unstructured interviews. The interviews were then transcribed and coded according to the grounded theory coding techniques.

The evaluation of selection approaches revealed that the approach to information gathering should depend on the level of configurability of the systems subject to selection. Two generic approaches were identified: requirements driven – for highly configurable systems, and system functionality driven – for the systems offering limited configurability. Interaction between the customer and the bidder was also identified as the main condition for preparing the unbiased offer by the bidders.

Regarding the survey study, as the survey sample was small and the sample selection process was not random, the results should not be generalised to the whole population of Polish enterprises. It would be also beneficial to test the validity of the findings from the grounded theory study on the big population of ES bidders with the use of statistical methods.

For highly configurable systems, a model that includes a business process analysis, detailed requirements' specification and dedicated system functionality presentation is the preferred approach. A workshop is preferred to obtaining a ready requirements list. For systems offering limited configurability, an approach centred on system presentation is more suitable. In this case the requirements should be gathered during the presentation on a “gap‐fit” basis.

There is a significant lack of research that explores the selection process, with the stress on organizational needs and system functionality information gathering and makes indications for improvement of this process from the consulting enterprise (bidder) point of view. The paper fills this gap by presenting the results of a survey among Polish enterprises regarding selection routines and the evaluation of these routines by expert ES professionals, resulting in the development of the preferred set of information‐gathering methods.

Enterprise architecture (EA) is usually adopted as an approach for managing enterprise complexities and aligning business and information technology (IT) capabilities. Although IT practitioners and researchers agree about the potential applicability and benefits of EA in smart cities, little is known about the factors that influence the acceptance and usefulness of EA in smart cities. Thus, EA acceptance and usage remains a central concern of urban research and practice. Similarly, there are fewer studies that explored EA adoption from the context of enterprises that provide digital services in cities grounded on empirical evidence. Therefore, this study assesses the acceptance and usefulness of EA in smart cities context by developing an EA adoption model drawing on the DeLone and McLean Information System (IS) success model.

Based on the identified factors survey questionnaire was designed and sent out to participants which includes IT professionals, senior managers and consultants from 18 organizations in Norway and Ireland involved in a smart city project (+CityxChange) (https://cityxchange.eu/). Statistical Package for Social Science (SPSS) and structural equation modelling using partial least square was applied for data analysis.

The results suggest that service quality and system quality positively impact user satisfaction of EA and user's intention to use EA. More importantly, information quality does not influence user satisfaction of EA, and the user satisfaction of EA and user's intention to use EA significantly influences the net benefit of EA.

This study provides a complete understanding for academicians and IT practitioners regarding the factors and impacts on EA acceptance and use in smart cities. Finally, this study discusses the implications of this research and provides recommendations for future research.

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.

Posits that every enterprise must institutionalize its workplace learning systems and opportunities in such a way that it radiates what it has already achieved and from this moves on to realize its full potential – in short, the enterprise itself is the key. Examines in successive chapters: the individual manager and questioning insights (Q); the major systems which the enterprise uses to capture and structure its learning; a SWOT analysis of the enterprise′s total learning; action learning, its contribution to the achievement of enterprise growth, and the role of programmed knowledge (P); the Enterprise School of Management (ESM) as a phoenix of enlightenment and effectiveness rising from the ashes of traditional, less effective management training initiatives; and, finally, the practical realization of the action learning dream, as evidenced by emerging examples of successful and profitable implementation worldwide. Concludes with a selection of pertinent abstracts.

Unlike other purchases of information technology that have failed to deliver measurable improvements in corporate performance, enterprise‐wide information systems in the manufacturing industry have immediate and positive impact on the bottom line. The transition from strategic alignment as the basis for IT investment, to redesigned business processes as the critical elements of organizational strategic planning to which IT investments must be targeted, to the integration of these processes into enterprise‐wide systems, to e‐commerce is examined. With supply chain collaboration, information systems have exited corporate boundaries.

The purpose of the study is to examine enterprise searching practices across different work areas and work tasks in an enterprise search system in an international biotechnology company.

A mixed-method approach studying employees' authentic search activities during a 4-month period by log data, questionnaire survey and interviews. The log data analysed the entire active searcher group, whereas the questionnaire and interviews focused on frequent searchers.

The three studies provided insight into the searching activities and an understanding of the way searchers used the enterprise search system to search for information as part of their work tasks. The data identified three searcher groups, each with specific search characteristics. Four work task types were identified, and for all four types the searchers applied a tracing searching technique with use of contextual and historical relationships as paths.

The findings point to the importance of knowledge on historical and contextual relations in enterprise search.

The work sheds new light on enterprise searchers' information search practices. A significant contribution is the identification of a tracing search method used in relation to four essential work task types. Another contribution is the importance of historical and contextual knowledge to support the tracing search and decide what paths to follow.

Enterprise resource planning (ERP), a technological approach for enterprise information systems, has many recorded case examples of lengthy and expensive implementations reported in literature. This research has uncovered an alternative process‐driven and document‐based approach that may offer a simpler and more flexible solution compared with technology‐driven ERP. This paper investigates the differences and similarities of the two approaches, and also answers a related question: Is the enterprise system implementation an information systems effort performed to support the business processes, or is it a process re‐engineering effort required to implement the pre‐packaged software system?

To investigate the advantages and disadvantages of the two approaches to an enterprise information system, this research developed a unified modeling language (UML) process model of a manufactured housing company and used it as a basis for a conceptual level UML model for both an ERP‐ and a document‐based system.

In a designed experiment with UML‐fluent analysts, the process‐driven document solution to an enterprise information system was shown to be smaller, less complex and more flexible than an ERP solution at the conceptual design level.

Software specifications for the resulting document‐based system included only standard COTS software packages easily usable in companies of any size. Further, the potential for prototype as‐you‐go development offers opportunities for continuous refinement of the system in contrast with the episodic implementation of packaged ERP systems.

This alternative system highlights the desirability, for both academicians and practitioners, of concentrating on processes and then implementing the most suitable technology, rather than allowing the technology to impose constraints on processes.

The purpose of this paper is to contribute to the discussion on enterprise resource planning (ERP) system adoption by investigating the relationship of enterprise size to the objectives and constraints of ERP adoption.

In the paper, survey data, based on the responses of 44 companies, are analyzed, by dividing the companies into small, medium‐sized, and large enterprises; and comparing these groups, using statistical methods.

The paper finds significant differences exist between small, medium‐sized and large enterprises regarding the objectives and constraints of ERP system adoption. While small enterprises experience more knowledge constraints, large enterprises are challenged by the changes imposed by ERP adoption. Further, large and medium‐sized enterprises are more outward‐oriented in ERP adoption than small enterprises. Business development, as opposed to mere efficiency improvement, while being the most prevalent objective for ERP adoption in all the company groups, is considered especially important by medium‐sized enterprises. Finally, the findings suggest that, instead of considering small and medium‐sized enterprises as one homogeneous group of smaller enterprises, differences between these two groups of companies should be acknowledged in information system adoption.

The paper shows that the Finnish context and the sample size should be taken into consideration when generalizing the findings.

The paper points out the differences in objectives and constraints between companies of different sizes that should be acknowledged in ERP adoption.

Instead of resorting to the customary approach of considering small and medium‐sized enterprises as a homogeneous group of smaller enterprises, this study acknowledges the differences between these two groups of companies.