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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.

There is a danger of allowing competitive analysis to receive less than adequate attention in the marketing‐planning process as it is subordinated to a customer‐driven focus. Clearly important though customers are, they should not dominate marketing strategy and planning to the exclusion of other influential groups, one of these being competitors. With this in mind, a pilot research project was undertaken to gain a better understanding of how UK companies conduct competitive intelligence. From this pilot, a tentative typology of companies was developed to reflect four attributes of competitive intelligence activity: attitude, gathering, use, and location. Further research was subsequently undertaken to corroborate the findings of the pilot study, test the appropriateness of the typology and further develop the classification definitions. The research has resulted in a typology that illustrates a continuum of behaviour on the four strands of investigation. From this, an understanding of CI best practice can be deduced.

The purpose of this study is to identify and discuss the role of intelligent materials in the emergence of new business models based on the Internet of Things (IoT). The study suggests new areas for further research to better understand the influences of material intelligence on the business models in industry-wide service ecosystems.

The study uses data from an earlier study of intelligent materials in the steel industry networks. The insights are based on 34 qualitative interviews among 15 organizations in the industry. The data are reanalyzed for this study.

The observations from the steel industry show how material intelligence can be harnessed for value creation in IoT-based business ecosystems. The results suggest that not all “things” connected to the IoT need to be intelligent, if information related to the things are collected, stored and shared for collaborative value creation among the actors involved in the business ecosystem.

The study discusses how IoT deployments allow businesses to benefit from the velocity and variety of information associated with things and guides future research to study the ways in which value is created through IoT-enabled business models.

Rather than focusing on improving the efficiency of the supply network, the study presents new paths for competitive advantages in the new IoT ecosystems.

The study contributes to the mounting research on the IoT by identifying and discussing the critical aspects of how IoT can transform business models and supply networks within end-to-end ecosystems.

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.

Tourism researchers proposed that service quality dimensions of tourist destinations can contribute in developing a favorable or unfavorable image among travelers which affect visitors’ loyalty or disloyalty as well as destination image. However, such claims are seldom evaluated into in avitourism locations, which are a niche tourism, but fast growing. The purpose of this study is to examine the relationship between service quality, visitor satisfaction and destination image and destination loyalty among avian tourists.

Following a positivist research philosophy with a quantitative, cross-sectional descriptive study design, the study addressed five direct and two indirect relationships in the model. The research followed expectation dis-confirmation theory of Gartner to test the theoretical model. Following purposive sampling, a sample of 384 international avitourists was collected from five avitourism locations of Malaysia. The study applied SmartPLS SEM to analyze the data.

The results show that the service quality provided by the park management has a positive impact on visitor satisfaction, destination image and destination loyalty. The study also shows partial mediation effect of visitor satisfaction on destination image and destination loyalty among avitourists. The study extends practical, policy and theoretical implications to the stakeholders of avitourism.

The study limits the possibility for generalization of the findings into five avitourism sites located in three states of Malaysia. Hence, the scope of the study needs to be augmented with samples from more regions to meet the expected generalization. Add to the point, this study lacks qualitative data observations to get an in-depth understanding of the issues pertaining to visitor’s expectations on serviced quality, satisfaction, destination image and loyalty. Hence, it is suggested that more qualitative research interventions need to be made with the tools of in-depth interviews, content analysis and with the method of focus group discussions and Delphi applications.

This study provides the park management a clearer understanding on service quality critical factors in enhancing the satisfaction of avian tourists and building a better avitourism destination image and destination loyalty. The avitourism park management may look into the services for these niche tourists, as these resources are directly linked to nature-based tourism with its diverse requirements to keep visitors satisfied. Park authorities require a sound understanding and skills in managing the biodiversity of the natural resources, birds and animals, to match their services with tourists’ expectations.

Biodiversity is important in supporting vital ecosystem services (ES) for human as well as animals. The study has its social implications in generating a greater number of employment opportunity for people surrounding the area of avian destinations preserving the biodiverse area. The people in the surroundings area of avitourism locations will get better employment opportunity as guides and nature trail experts, if the avian tourism develops in its real principle.

Avitourism is a niche tourism. The expectations of the visitors of avitourism locations are entirely varied in comparison with general tourism. Very less studies focused into expectations of the visitors linking human factor of service quality, emotional intelligence, visitor satisfaction, etc. like dimensions that will contribute into dynamic destination image and destination loyalty among avitourists. With the support of quantitative research tools, representative sampling and theoretical selection, the study findings are original in their form, ensuring external validity further to generalize into other birdwatching locations across the countries. The study observations are highly valuable to all stakeholders of avitourism.

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.

Often, real estate factors are given much of the credit for a particular site’s success or failure when it comes to sales. The current paper asserts that some of the praise or blame heaped onto real estate decision‐makers may be undue. Sometimes success or failure is due to non‐real estate factors such as a marketing or advertising strategy, operations, or brand awareness. The paper discusses non‐real estate variables that contribute to a site’s overall success or failure, and offers diagnostics and suggestions to help address non‐real estate problems that could influence sales.

The question of the location of computers, i.e. whether to have a centralised or decentralised processing system, is of particular concern to managers. A study carried out to measure the impact of computer location on user satisfaction shows that overall satisfaction with computer systems is greatly affected by user expectations, the number of systems and minicomputers. Microcomputers and central processing have a lesser effect on overall satisfaction. This means that additional variables do not contribute significantly to the overall satisfaction of the computer system. The implications of the study are discussed.

Human or machine, which one is more intelligent and powerful for performing computing and processing tasks? Over the years, researchers and scientists have spent significant amounts of money and effort to answer this question. Nonetheless, despite some outstanding achievements, replacing humans in the intellectual tasks is not yet a reality. Instead, to compensate for the weakness of machines in some (mostly cognitive) tasks, the idea of putting human in the loop has been introduced and widely accepted. In this paper, the notion of collective hybrid intelligence as a new computing framework and comprehensive.

According to the extensive acceptance and efficiency of crowdsourcing, hybrid intelligence and distributed computing concepts, the authors have come up with the (complementary) idea of collective hybrid intelligence. In this regard, besides providing a brief review of the efforts made in the related contexts, conceptual foundations and building blocks of the proposed framework are delineated. Moreover, some discussion on architectural and realization issues are presented.

The paper describes the conceptual architecture, workflow and schematic representation of a new hybrid computing concept. Moreover, by introducing three sample scenarios, its benefits, requirements, practical roadmap and architectural notes are explained.

The major contribution of this work is introducing the conceptual foundations to combine and integrate collective intelligence of humans and machines to achieve higher efficiency and (computing) performance. To the best of the authors’ knowledge, this the first study in which such a blessing integration is considered. Therefore, it is believed that the proposed computing concept could inspire researchers toward realizing such unprecedented possibilities in practical and theoretical contexts.