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The purpose of this paper is to see whether it is possible to learn any lessons from the application of simulation and modeling in the defense sector to be applied in the healthcare sector.

Two comprehensive reviews are conducted within two domains of “Military & Aerospace” and “Healthcare”. A general search framework with common features is developed, while allowing rooms for customization for each domain. A common objective is set to cover a wide scope of simulation methods and application areas. Further, reviews are not restricted to a limited number of journals or conferences; rather the relevant databases are searched while using some filtering mechanisms.

It is found that simulation has been commonly used in the defense sector(s). However, inconsistency in terms of the level of implementation in both the sectors is quite vivid. There is clear evidence that healthcare lags behind other sector(s), particularly in terms of stakeholder engagement and, consequently, in terms of implementation of simulation outcomes.

Owing to confidential nature of the defense sector, grey literature (which in this case is likely to include a considerable corpus of classified material) has not yet been reviewed. The paper speculates on the impact this has on the appreciation of the uptake of modelling and simulation in this sector and could form part of future research.

This paper provides key insights into some challenges of applying simulation methods in healthcare, whilst presenting an up‐to‐date overall picture of simulation in two main sectors from an academic point of view.

The purpose of this paper is to demonstrate the importance of undertaking a systemic view of learning management systems (LMSs) evaluation addressing the conceptualization and measurement of e‐learning systems success in higher education.

The paper adopts a quantitative case perspective and derives a conceptual model for e‐learning assessment (Hexagonal e‐learning assessment model – HELAM). The model is empirically tested for validity and reliability in the university setting.

Qualitative and quantitative findings have been presented, which will be valuable for academics and practitioners doing research in e‐learning evaluation. The findings support the flexibility and relevance of HELAM as an e‐learning assessment model. It highlights a number of success measures which are grouped under six dimensions.

Further research efforts should explore new dimensions or test the causal relationships among proposed dimensions within the boundary of e‐learning. In that, the paper is limited contextually where attention should be made not to generalize the findings beyond the empirical findings within the case analysis.

The paper supports a practitioner perspective through a consideration of a holistic approach to e‐learning assessment. E‐learning system developers may find the findings useful when designing and implementing the LMS.

The paper is original as the conceptual model has been derived through both theoretical constructs and empirical analysis. It provides an innovative approach to e‐learning assessment.

Modelling users' interactions online is envisaged to allow developers to increase the usability of online systems and will aid system developers in building better systems to meet users' needs, hereby creating better system design processes. This paper aims to investigate this issue.

The normative task model that was developed in this paper was created through an expert review of 14 online grocery stores, using a reverse engineering technique to model the features of the stores' ordering process.

The research identified three main areas of user experience when undertaking the process of adding a product to an online trolley: attempting to retrieve the product, receiving the results of the retrieval attempt, and adding the product to the trolley. These three classifications were used as the basis for an analysis of errors.

The findings present a model that can be used to further understand the processes of customers as they engage in an online grocery shopping visit. The normative task model presented is expected to help in the future design of online grocery stores by identifying the possible errors that users can encounter, and methods to reduce the occurrence of these errors. Errors are one area that traditional task‐modelling processes ignore, due to their focus on successful processes.

This paper presents the innovative process of the development of a normative task model for modelling user interactions when using online grocery stores.

This paper aims to highlight some learning and teaching challenges in relation to universities and colleges in the Gulf region, including students' learning preferences, and cultural aspects. It explores the sequential‐global learning styles profile of undergraduate students as part of a continuous research in Information Systems Design with a particular focus on the design of Interactive Learning Systems (ILS).

The paper examines the learning style profile of undergraduate students for a cohort of Management Information Systems at a regional university in the UAE. It uses the Index of learning styles instrument as a tool for measuring the sequential‐global learning styles dimension. Also, the paper conducts a literature review of different aspects related to current challenges facing undergraduate students in the Gulf region as well as design principles related to the interactivity of learning systems.

The results show overall equal tendency towards both the sequential and global styles, different from a previous paper conducted in UK university. The paper highlights some students' differences that should be catered for in ILS design.

The paper is expected to provide further insights into some of the challenges facing many students doing their undergraduate degrees as well as the importance of a carefully balanced design of ILS (balance and bend model) to cater for students' different preferences and needs. A discussion and recommendations on how these findings can be reflected on the design of ILS are provided.

The purpose of this paper is to explore and validate the adoption lifecycle phases and perform the mapping of factors influencing the decision making process for enterprise application integration (EAI) adoption on the adoption lifecycle phases in two local government authorities (LGAs).

A case study based research approach using interviews with the decision makers is utilised to investigate the less acknowledged phenomena like EAI adoption. This approach assists in examining the phenomenon in its natural setting, examining the in‐depth complexities and processes, and providing considerable flexibility during interviews and observations.

According to the empirical findings, the factors influencing EAI adoption and the adoption lifecycle phases are appropriate for studying the research context. The analysis and study of the factors and adoption lifecycle phases is made carefully and specifically to fit and be compatible within the context of LGAs. As a result, it is apparent from the empirical findings that most of the factors influence the decision making process for EAI adoption on each phase of the adoption lifecycle in the case organisations with exception to few factors.

The combination of theoretical discussions, analysis of the literature and empirical research presented in this paper illustrates the start of research on EAI adoption in LGAs. However, the theoretical and empirical data collected are confined to the limited context of two LGAs within the region of England. The structure of LGAs varies in different parts of the UK. In the light of the reflections and the research limitations of this paper it is recommended that further work could usefully be pursed to validate the adoption lifecycle phases and perform the mapping of the factors at each phase of the adoption lifecycle in the context of other types of LGAs, different cities and countries.

From a conceptual and empirical point of view, none of the existing EAI adoption studies investigated the mapping of the factors influencing EAI adoption on the adoption lifecycle phases. In doing so, the authors consider this as a literature void and report that it is important to understand and manage the EAI adoption process in LGAs. The mapping of factors process is substantial as it may enhance the analysis of EAI adoption process in LGAs and further facilitate the decision makers in realising the importance of EAI adoption factors.

In spite of technology and its subsequent organizational advantages, the purpose of this paper is to advocate the need for public sector leadership to understand and consider the forthcoming pivotal role and challenges associated with the unique values and characterises of a multiple generation workforce will have in the attainment of organizational goals and objectives.

An examination of the literature is utilized to identify management techniques and work methodologies regarding generational differences and unique characteristics of four organizational workgroups – veterans, baby boomers, generation X, and Y, which may be an underlying factor in the attainment of organizational success.

This paper advocates that an understanding of generational differences may enable management to structure strategies and transformation techniques to motivate employees to the full extent of their skills and abilities in order to support the realization of organizational goals and objectives.

This paper enhances personal knowledge and understanding at the theoretical and practical levels enabling business leaders to gain insight regarding the generational differences and unique characteristics of four organizational workgroups – veterans, baby boomers, generation X, and Y. Without understanding these different cohorts' values, management strategies and techniques cannot be fully utilize nor can employees be fully motivated to the full extent of their skills and abilities, in order to support organizational goals and objectives.

The aim of this paper is to examine empirically the relevance of the theory of deferred action for knowledge management systems (KMS) design in practice.

The study adopts a case study approach to examine knowledge work and knowledge management in virtual teamwork in a large UK telecommunications company to understand the occurrence of emergent knowledge and how it is managed by virtual team leaders. The section in the company studied is described as a “knowledge intensive organization” dealing with the company's e‐commerce activities.

The analysis confirms the complex adaptive system hypothesis – a complex system adapts to its environment through self‐organization. The data reveal the behaviour of the virtual team to be self‐organizing and adaptive to its environment. It confirms the knowledge tacitness hypothesis and social embeddedness of knowledge hypothesis as important determinants of knowledge sharing. Specifically, the data reveal the main issues concerning knowledge sharing practices of virtual team workers and the crucial team leader's role in the effectiveness of the teams' capability to develop social links to externalise and share tacit knowledge to accomplish tasks.

In this paper, the authors contribute “emergent knowledge” as a third category of organizational knowledge in addition to the existing tacit and explicit knowledge that needs to be considered when designing KMS. It also derives socio‐technical systems design principles based on the theory of deferred action, and a tentative development process with metrics is then proposed for KMS design that caters for emergent, tacit, and explicit knowledge.

Existing models such as the SECI model do not acknowledge emergent knowledge or its conversion into explicit knowledge. The theory of deferred action is invoked to derive design principles, termed deferred systems design principles, to depict how explicit knowledge, tacit knowledge, and emergent knowledge can be represented to design knowledge management systems for “emergent organizations”.

The study contributes to the limited research and lack of consideration of emergent knowledge as an integral part of organizational knowledge, especially in an era of emergent organizations.

Little systematic applied research has been conducted on how age‐related cognitive impairments might affect older adults' usage of web service and this paper aims to fill some of that gap.

An analysis of the relationship between the cognitive changes of aging and the usage of web services. Supported by field research with the key stakeholders, including older adults and organisations that provide services for older adults. This consists of focus group sessions with key stakeholders and individual interviews with older adult users. Older adult users also complete an online form using a think aloud protocol. The data are analysed using a thematic content analysis technique.

Issues around older adults' relationship with technology and the challenges they face along with the strengths and weaknesses of online forms and means to improve them. In particular, there are issues of fear and frustration, inconsistency and visual clutter, and a feeling of neglect by service providers. Users also identify a strong need for human rather than machine support when struggling with the technology.

The findings only now being applied to an existing system in the Delivering Inclusive Access to Disabled and Elderly Members (DIADEM) project and it still needs to evaluate of usability of DIADEM. Further research also needs to consider the technology adoption model for system like DIADEM.

The findings have implications in form design and transaction delivery for online services.

The perception of neglect by service providers is new and this with the needs for consistency and for human support lead to novel approaches in the DIADEM system.

The purpose of this study is to investigate the key factors that facilitate or inhibit knowledge transfer success from vendors to clients in information systems (IS) outsourcing.

The collection of data rested on semi‐structured interviews with IS/IT managers at various levels of the subject organizations and careful documents analysis.

The findings suggest that knowledge transfer success in IS outsourcing is affected by four sets of factors: knowledge‐related, client‐related, vendor‐related and relationship‐related.

This study may provide some useful insights for IS managers on how to manage knowledge transfer in IS outsourcing projects and better understand the key factors that impact its success.

This study investigated the client's perceptive only which is one side of the knowledge transfer process. A balanced understanding of the research questions (i.e. from both sides: client and vendor) permits a fuller examination and comparison between the perceptions of the two sides of the relationship.

The value and the originality of this study come from the fact that knowledge transfer in IS outsourcing has not been comprehensively explored. Previous research fails to provide a complete understanding of the factors that impact knowledge transfer success as most are focused on the type of knowledge transferred, the client, the vendor or the relationship between the client and the vendor.