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The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

We review the literature on stress in organizational settings and, based on a model of job insecurity and emotional intelligence by Jordan, Ashkanasy and Härtel (2002), present a new model where affective responses associated with stress mediate the impact of workplace stressors on individual and organizational performance outcomes. Consistent with Jordan et al., emotional intelligence is a key moderating variable. In our model, however, the components of emotional intelligence are incorporated into the process of stress appraisal and coping. The chapter concludes with a discussion of the implications of these theoretical developments for understanding emotional and behavioral responses to workplace.

The purpose of this paper is to identify and design a paradigm model for universities' information acquisition behavior in competitive intelligence process.

The sampling has been conducted in two stages. First, purposive sampling has been done among Iranian universities of medical sciences. Second, 20 university staff members were selected using the snowball method. The research was conducted through semi-structured interviews.

The purpose of acquiring information in competitive intelligence process is to meet organizational and individual information needs in active and passive ways. The characteristics of information acquisition and how to acquire it are varied. Enablers include the information sources, individual, organizational characteristics and environmental pressures. Barriers are individual, organizational, environmental factors. The consequences of information acquisition are success, failure and partial success. Accordingly, a paradigm model of information behavior has been designed.

This is the first study to identify information behavior of universities in competitive intelligence process. In addition to why and how to acquire information, this study also looks at facilitators and barriers factors.

This paper aims to identify whether relationships exist between emotional intelligence (EI) and specific teamwork behaviours that are associated with transition, action and interpersonal team processes using the ability model of EI.

A total of 68 MBA students comprising 13 randomly assigned teams completed a pencil and paper performance‐based test of emotional intelligence. Some 14 weeks later a score reflecting the extent team members engaged in a number of teamwork behaviours consistent with transition, action and interpersonal team processes was obtained from peer ratings.

Emotional intelligence was found to explain direct and unique variance in transition and interpersonal team processes. However, only three individual branches of EI were found to be of any significance, and these differed in each instance.

These findings add to the growing body of literature suggesting emotional intelligence may be an important aspect of individual difference amongst team members that can contribute to team effectiveness. Individuals with differing EI abilities may be particularly important to teams dependent upon the team's activity phase.

The paper shows that blanket assertions regarding the significance of emotional intelligence for team effectiveness are far too simplistic. Differing EI abilities are associated with particular teamwork behaviours, which in turn become important during different phases of team activity. The findings suggest a need for more sophisticated frameworks regarding how EI relates to specific cognitive, verbal and behavioural teamwork activities.

The leader of the knowledge‐based organization is faced with the continuing dilemma of delivering the highest quality and most technologically innovative products or services at the lowest possible cost in a rapidly changing environment. This paper aims to start with the identification of the complexities of managing the knowledge‐based organization, using emotional intelligence to balance the interests of the individual and organization, and it may also be redefined as an organizational development process rather than an outcome.

In order to be effective the knowledge‐based leader must possess the characteristics most often associated with the description of emotional intelligence and must also be effective at injecting these same characteristics throughout the organization. Utilizing the premises of Stewart's intellectual economy and adapting the work of Buckingham and Coffman to the knowledge‐based organization, a series of questions is outlined to assist leaders, managers and workers in the improvement of emotional intelligence awareness and the utilization of emotional intelligence as an organizational development process.

Knowledge‐based organizations may benefit from the utilization of behaviors most often attributed to emotional intelligence, and emotional intelligence may be redefined as a process rather than an outcome for organizational development.

The knowledge working environment must utilize innovative processes to maintain the engagement and effectiveness of the workforce. Applying emotional intelligence as an organizational development process rather than an outcome, it becomes a strategy for the development of the individual and the organization concurrently rather than treating them as opposing interests.

Although digital transformation (DT) has emerged as an important phenomenon for both research and practices, the influences remain inconclusive and inadequate. The emerging artificial intelligence (AI) technologies further complicate the understanding and practices of DT while understudied yet. To address these concerns, this study takes a process perspective to empirically investigate when and how digital-intelligence transformation can improve firm performance, aiming to enrich the literature on digital-intelligence transformation and strategic information systems (IS) field.

Drawing on the dynamic capability view and business agility, we took a process perspective to conceptualize and empirically examine the influence of digital-intelligence transformation and the process characteristics. Taking a continuous panel dataset of listed Chinese firms covering 2007 to 2020, we investigated digital-intelligence transformation’s effect on firm performance and the moderating roles of three strategic aspects: pace, scope and rhythm.

This study found that digital-intelligence transformation positively affects firm performance and is moderated by the characteristics of transformation processes (i.e. pace, scope and rhythm). Specifically, the high-paced and rhythmic transformation processes facilitate the positive relationship, while the large scope undermines the benefits of transformation. These relationships hold across various endogeneity and heterogeneity analyses.

Our findings provide valuable implications for digital-intelligence transformation and strategic IS field. First, this study enriches existing literature on digital-intelligence transformation by empirically investigating the influence from a process perspective. Moreover, this study provides insights into a comprehensive understanding of the complexity of digital-intelligence transformation and the influences of AI. Finally, this study provides practical implications on how to make digital-intelligence transformation to benefit firm performance.

This paper has a twofold aim. Firstly, to give some insight into competitive intelligence practices in a little‐explored area in the field of competitive intelligence: the higher education sector. Secondly, to find out more about the factors influencing competitive intelligence practices, since little research on this subject has been published.

The investigation used a mixed‐methods approach, including face‐to‐face, semi structured interviews with 47 university managers (degree coordinators, deans and vice‐rectors), followed by a semi‐structured questionnaire carried out with 400 degree coordinators and deans and analysed quantitatively and qualitatively. The interviews informed the questionnaire design.

The survey confirms the proposed framework's usefulness for analysing the enabler and inhibitor factors in an organisation for promoting efficient competitive intelligence practice and also gives some insight into which factors enable or inhibit the efficacy of competitive intelligence practices in Spanish universities.

The research focused on degree design adapted to the EHEA. A larger study designed to focus on other management areas in universities would provide a fuller picture of factors influencing competitive intelligence practices.

The findings indicate the areas where universities could plan actions to optimise intelligence activities, make the most of them and stand out from the rest.

This paper sets out a framework to describe factors related to intelligence function and cycle. In addition, the study reveals which indicators act as enablers or inhibitors for competitive intelligence practices and takes account of some of the particular features of the higher education sector.

The purpose of this paper is to highlight the potential of digital transformation and innovation opportunities for intelligence analysis. Its focus is the development of individuals to exploit data and information technologies to better understand and counter organised criminal networks.

The methodology adopted consisted of an extensive literature review and interview with practitioners in digital technology and transformation focused on intelligence, crime and terrorism, plus practical experience and field study.

Phenomena including the World Wide Web, social media and interconnectedness are influencing all aspects of human activity. Effective digital transformation, focusing on data, information technologies and people bestows significant competitive advantage upon those who have transformed. Applications are making previously complex processes and tasks easier for individuals to understand and exploit. An activity-based intelligence (ABI) model provides a platform for intelligence transformation. ABI provides a foundation from which to better fuse and share data to understand and resolve complex human (wicked) problems. To counter increasingly fast-moving organised crime networks, law enforcement needs to quickly transform.

This paper serves as a guide to alert and educate law enforcement professionals of the potential of digital transformation and associated evolving intelligence processes. It offers an appreciation of the nature of organisations, and the role of innovation within those organisation, required to better appreciate and tackle complex, human network challenges such as organised crime. It reveals the emergence and importance of an increasingly applications-based culture and the potential of this culture to simplify and exploit previously complex, expert-based processes.

The purpose of this study is primarily to discuss the synergic and separate use of knowledge and intelligence, via knowledge management and competitive intelligence, in each stage of strategic management process. Next, this paper aims to discuss the implications of each stage of strategic management process for knowledge management and competitive intelligence and vice versa.

A systematic literature review was performed within time frame of 2000-2016. Extracted information from reviewed studies was synthesized and integrated in strategic management model of Fred David.

A strategic management model with lens of knowledge management and competitive intelligence is proposed. Each stage of knowledge management process has implications for knowledge management and competitive intelligence and vice versa. In addition, synergic and separate use of knowledge and intelligence results in effective decision-making, leading to competitive advantage.

Learning curve of knowledge management and competitive intelligence and being limited to the use of Fred David model are among the many key limitations.

Experts of knowledge management, competitive intelligence and strategic management can use this study to gain competitive advantage based on knowledge and information resources. Organizations should have knowledge management function and competitive intelligence to support the strategy formulation, implementation and evaluation.

Readers can take a view for how they can manage their knowledge and information resources from a strategic perspective.

This study proposes a strategic management model with lens of knowledge management and competitive intelligence. The model discusses ways for synergic and separate use of knowledge and intelligence in each stage of strategic management, leading to competitive advantage. In addition, it discusses the holistic and integrated implications of knowledge management and competitive intelligence for each stage of strategic management process and vice versa.

This monograph defines distributed intelligence and discusses the relationship of distributed intelligence to data base, justifications for using the technique, and the approach to successful implementation of the technique. The approach is then illustrated by reference to a case study of experience in Birds Eye Foods. The planning process by which computing strategy for the company was decided is described, and the planning conclusions reached to date are given. The current state of development in the company is outlined and the very real savings so far achieved are specified. Finally, the main conclusions of the monograph are brought together. In essence these conclusions are that major savings are achievable using distributed intelligence, and that the implementation of a company data processing plan can be made quicker and simpler by its use. However, careful central control must be maintained so as to avoid fragmentation of machine, language skills, and application taking place.