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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.

The purpose of this survey research is twofold. First, to study and report the process that is commonly used to create and maintain a competitive intelligence (CI) program in organizations. And second, to provide an analysis of several emergent text mining, web mining and visualization‐based CI tools, which are specific to collection and analysis of intelligence.

A range of recently published research literature on CI processes, applications, tools and technologies to collect and analyze competitive information within organizations is reviewed to explore their current state, issues and challenges learned from their practice.

The paper provides executive decision makers and strategic managers a better understanding of what methods are available and appropriate to the decisions they must make and the steps involved in CI undertaking.

The findings of this research provide the managers of CI programs a context for understanding which tools and techniques are better suited to their specific types of problems; and help them develop and evaluate a usable set of tools and best practices to apply to their industry.

With the continuous change of research contents and methods of intelligence science, its integration with other disciplines is also deepening. The purpose of this paper is to further explore the interdisciplinary research characteristics of intelligence science in theoretical depth and application value.

This paper summarizes and explores in two aspects. The first is a large number of literature review, mainly combined with the historical characteristics of the development of intelligence science researches in China and international comparison. The second is to refine the discipline construction ideas suitable for the development of contemporary intelligence science.

From the perspective of the historical development of discipline relevance, the development characteristics and positioning of intelligence science in China are introduced, with the comparison of many disciplines including information technology, library science, information science, data science, management science and other disciplines. In order to better meet the practical needs of intelligence service in the new era, this paper mainly analyzes the construction method of intelligence science research system and the relocation of intelligence science research content.

This paper summarizes the historical characteristics and international comparison of the development of intelligence science in China. It proposes the development characteristics and orientation of intelligence science in China from the perspective of historical development of discipline relevance. It also proposes the discipline construction ideas suitable for the development of contemporary intelligence science.

The paper seeks to show how the increasingly popular use of data and information acquired from open sources (OS) impacts competitive and marketing intelligence (C/MI). It describes the current state of the art in analysis efforts of open source intelligence (OSINT) in business/commercial enterprises, examines the planning and execution challenges organizations are experiencing associated with effectively using and fusing OSINT in C/MI decision‐making processes, and provides guidelines associated with the successful use of OSINT.

This is a descriptive, conceptual paper that utilizes and develops arguments based on the search of three unclassified bodies of literature in competitive and marketing intelligence, intelligence processing and marketing analysis.

Open sources are useful in marketing analyses because they can be easily accessible, inexpensive, quickly accessed and voluminous in availability. There are several conceptual and practical challenges the analyst faces in employing them. These can be addressed through awareness of these issues as well as a willingness to invest resources into studying how to improve the data gathering/analysis interface.

Marketing analysts increasingly rely on open sources of data in developing plans, strategy and tactics. This article provides a description of the challenges they face in utilizing this data, as well as provides a discussion of the effective practices that some organizations have demonstrated in applying and fusing open sources in their C/MI analysis process.

There are very few papers published focusing on applying OSINT in enterprises for competitive and marketing intelligence purposes. More uniquely, this paper is written from the perspective of the marketing analyst and how they use open source data in the competitive and marketing sense‐making process and not the perspective of individuals specialized in gathering these data.

With the advance of the Silk Road Initiative proposed by China, it has been a focus of China government to develop strategic emerging industries. The development of strategic emerging industries needs the support of competitive intelligence on many aspects such as strategical planning, policy making, industrial structure adjustment, and technology innovation. However, so far there are few studies toward the competitive intelligence systems for strategic emerging industries. In this article, we focus on a number of issues related to the competitive intelligence for strategic emerging industries in China. First, we conduct a strengths, weaknesses, opportunities, and threats analysis on the situations of strategic emerging industries in China, based on which the necessity of building a competitive intelligence (CI) service system for strategic emerging industries is discussed. Next, the authors present a framework of a CI service system for strategic emerging industries in China. The principles, components, working process, and product forms are deeply described. The CI service system proposed in this article consists of a cooperation network platform, three layered organizations, and three systems, which integrates organizations, information, people, network, and service platforms into an ecosystem to offer competitive intelligence supports for government, industry, and enterprises. Finally, the authors discuss a case study of the proposed CI service system for the new energy automobile industry.

This chapter examines the principles behind law enforcement intelligence and identifies best practices established by other local and state law enforcement organizations. Then, it conducts a close analysis of the law enforcement intelligence process to determine, in light of best practices, how policies and procedures might be changed to better address law enforcement operations. A redefined intelligence process, as described in this chapter, will provide all participating agencies with a universal definition of law enforcement intelligence, will maintain and enhance community-policing efforts, and will establish a platform for contribution to the domestic intelligence cycle – which is essential for leveraging resources to detect and disrupt organized criminal organizations and terrorism.

Little empirical research has been conducted on competitive intelligence (CI). This paper aims to contribute to the quantitative strand of the CI literature by exploring and validating the theoretical constructs of the CI process.

Data from 601 questionnaires filled out by South African and Flemish exporters were subjected to exploratory factor analysis and construct equivalence analysis between the sub‐samples.

The results showed that the CI process consists of three constructs, while the context in which CI takes place consists of four constructs. This agrees to some extent with the literature. When verifying the constructs for both cultures it was found that all but one CI context construct can be viewed as equivalent in both groups. Bias analysis identified one item in the questionnaire that was biased. Via regression analysis it was also indicated that the context in which CI takes place influences the CI process to a large extent. The research identified size as an important influencing factor in a business' CI process.

Businesses involved in CI should take note that an improvement in their formal infrastructure, employee involvement and internal information processes could enhance their CI capability.

This paper contributes towards the formalising of the constructs of competitive intelligence.

The strategic intelligence assessment (SIA) plays an important role in contemporary intelligence‐led policing by helping to identify strategic priorities for policing activity, crime reduction and improvements in community safety. Originally defined in the UK's National Intelligence Model, the SIA is produced annually by all local UK police districts as well as other agencies in the UK and internationally that have adopted intelligence‐led principles. The purpose of this paper is to critique the two most common approaches to its production, structuring its content following a “crime‐type” template or an assessment that is based on previous strategic priorities.

The paper's critique is based on reviewing one hundred SIAs from police forces and Community Safety Partnerships in the UK and through speaking to practitioners on their experiences in using these intelligence products to determine strategic priorities.

The paper identifies weaknesses in both, arguing that neither tends to generate strategic intelligence products that are fit for the purpose for effective decision making, and in particular in helping to harness support from local government partners to address persistent and causal factors. As an alternative the study introduce a problem‐oriented approach to the production of strategic intelligence, with an assessment made in relation to place (locations and temporal features), offending and offender management, and victimisation and vulnerability.

The paper illustrates that the problem‐oriented approach leads to the production of a SIA that is more cross‐cutting in its analysis of crime and community safety issues, and more naturally leads to the identification of strategic priorities that focus on addressing causal issues.

The purpose of this article is to show how operationally specific, “down in the trenches” competitive intelligence can help inform and contribute to a much higher‐level view of the competitive arena that can inform company strategy.

The article presents a practical application based on various tactical intelligence methodologies, such as win/loss analysis, primary intelligence collection, etc.

By analyzing it at a higher level, CI practitioners and strategists can use tactical intelligence to help support strategy development, not just day‐to‐day company operations.

The article shows managers how to use tactical intelligence to help inform strategy.

This article takes very operationally specific, “down in the trenches” intelligence and shows how it can help inform and contribute to a much higher‐level view of the competitive marketplace. Many people tend to think of tactical intelligence as low‐value data or information. This article shows that if managers connect the dots of tactical intelligence and use this analysis to help inform strategy, they have a better chance of reacting to and anticipating major events without being blindsided.