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The study aims to summarise the literature on cancer care pathways at the diagnostic and treatment phases. The objectives are to find factors influencing the delivery of cancer care pathways; to highlight any interrelating factors; to find gaps in the literature concerning areas of research; to summarise the strategies and recommendations implemented in the studies.

The study used a qualitative approach and developed a causal loop diagram to summarise the current literature on cancer care pathways, from screening and diagnosis to treatment. A total of 46 papers was finally included in the analysis, which highlights the recurring themes in the literature.

The study highlights the myriad areas of research applied to cancer care pathways. Factors influencing the delivery of cancer care pathways were classified into different albeit interrelated themes. These include access barriers to care, hospital emergency admissions, fast track diagnostics, delay in diagnosis, waiting time to treatment and strategies to increase system efficiency.

As far as the authors know, this is the first study to present a visual representation of the complex relationship between factors influencing the delivery of cancer care pathways.

Urban schools serve a diverse student population that includes African Americans, Hispanic Americans, Asian Americans, and “poor” European Americans. The school size and location and the composition of student population play a major part in determining learning outcomes of a particular school (Mukuria, 2002). The Carnegie Report (1988) described many urban schools as having a large, diverse population and located in “poor” neighborhoods. The report indicated that many schools lack purpose, coherence, and unifying culture and that they have neglected buildings that give them a negative appearance. In addition, these schools lack meaningful instructional programs and regular routines as well as a strong sense of community. As a result, they demonstrate the instability to establish a consensus on a unifying culture, which to a large extent, leads to disciplinary problems.

To provide a framework for risk assessment of offshore IT outsourcing.

Based on review of recent literature, this paper has identified major risk categories of offshore IT outsourcing, discussed various risk factors within each category, and provided a general framework for the study of risk factors in this area.

Provides a general framework and a check‐list of the major risk factors related to offshore IT outsourcing.

Suggests further research studies in three specific directions: case‐based studies; country and region risk analysis; and strategic alliance.

Provides a very helpful guideline for practitioners in assessing various risks involved in offshore IT outsourcing.

The paper provides a synthesis and analysis of the viewpoints as reflected in the literature on various dimensions of the risks associated with offshore IT outsourcing.

The purpose of this paper is to explore conceptual issues arising in an empirical study of the emergence of a distinctive new form of expertise – of industry analysts and in particular the leading firm Gartner Group that exercises enormous influence over the Information Technology (IT) market.

The paper critically reviews existing analytical frameworks and especially work from the Sociology of Professions. This has largely focused upon groups which have already succeeded in gaining wide acceptance of the effectiveness of their methods and knowledge. For emerging expert groups a key challenge is to create an audience for whom they are expert (Turner, 2001). The study contributes to a “third wave” of studies that shift the focus of enquiry from the operation of professional institutions to the conduct of expert work – and how knowledge is produced, validated and consumed. The paper draws upon an extended ethnographic study of Gartner Inc., and other industry analysts to characterise some key features of their expertise. Data sources include over 100 hours of participant observation of industry analysts and their interactions with vendors and technology adopters at IT industry conferences; interviews with over 20 industry analysts from Gartner (including a telephone interview with its founder Gideon Gartner) and other analyst organisations; a substantial body of interviews with technology vendors and clients (particularly in relation to the Customer Relationship Management technology sector); together with a review of Gartner documentation and reports.

The paper compares the empirical findings of industry analysts with accounts from current literature on management consultants and other groups such as journalists and financial analysts. Industry analysts, like consultants, have not sought to follow a classical professional model. Thus the brand reputation of big (industry analyst or consultancy) firms provides an alternative warrant of the quality of expertise to professional institutions. However, Gartner analysts identify differences as well as similarities between their work and management consultants. Gartner’s ability to rank the offerings of IT vendors requires them to adopt formal methodologies and internal review procedures to produce defensible knowledge and demonstrate their independence. Industry analysts need to establish cognitive authority over rapidly changing technological fields. This imparts some “public good” elements to their knowledge.

The paper suggests ways forward for analysing new forms of knowledge intermediary in business and accounting, applying perspectives from the “third wave” of studies, and involving detailed study of the “epistemic systems” through which such knowledge is produced, consumed and validated (Knorr Cetina, 2010).

This chapter focuses on the critical work of Dorothy Lipsky and Alan Gartner’s Inclusion and School Reform: Transforming America’s Classrooms, specifically through their 1987 piece, Beyond Special Education: Toward a Quality System for All Students. The chapter explores the five broad, interrelated areas of: (1) The Separate Special Education System; (2) Inclusive Education; (3) School Restructuring; (4) The Reform of Education and the Remaking of American Society; and (5) Amplification of Inclusion Issues. The chapter shows how the work of Lipsky and Gartner examines each theme in a discrete way whilst also showing how they are interrelated, analogous to jigsaw pieces that ultimately create a more comprehensive analysis of inclusive education scholarship and practice.

Cognition has always been central to the popular way of thinking about entrepreneurship. Entrepreneurs imagine a different future. They envision or discover new products or services. They perceive or recognize opportunities. They assess risk, and figure out how to profit from it. They identify possible new combinations of resources. Common to all of these is the individual’s use of their perceptual and reasoning skills, what we call cognition, a term borrowed from the psychologists’ lexicon.

The purpose of this paper is to analyze the inadequacies of current business education in the tackling of the educational challenges inherent to the advent of a data-driven business world. It presents an analysis of the implications of digitization and more specifically big data analytics (BDA) and data science (DS) on organizations with a special emphasis on decision-making processes and the function of managers. It argues that business schools and other educational institutions have well responded to the need to train future data scientists but have rather disregarded the question of effectively preparing future managers for the new data-driven business era.

The approach involves analysis and review of the literature.

The development of analytics skills shall not pertain to data scientists only, it must rather become an organizational cultural component shared among all employees and more specifically among decision makers: managers. In the data-driven business era, managers turn into manager-scientists who shall possess skills at the crossroad of data management, analytical/modeling techniques and tools, and business. However, the multidisciplinary nature of big data analytics and data science (BDADS) seems to collide with the dominant “functional silo design” that characterizes business schools. The scope and breadth of the radical digitally enabled change, the author are facing, may necessitate a global questioning about the nature and structure of business education.

For the sake of transparency and clarity, academia and the industry must join forces to standardize the meaning of the terms surrounding big data. BDA/DS training programs, courses, and curricula shall be organized in such a way that students shall interact with an array of specialists providing them a broad enough picture of the big data landscape. The multidisciplinary nature of analytics and DS necessitates to revisit pedagogical models by developing experiential learning and implementing a spiral-shaped pedagogical approach. The attention of scholars is needed as there exists an array of unexplored research territories. This investigation will help bridge the gap between education and the industry.

The findings will help practitioners understand the educational challenges triggered by the advent of the data-driven business era. The implications will also help develop effective trainings and pedagogical strategies that are better suited to prepare future professionals for the new data-driven business world.

By demonstrating how the advent of a data-driven business era is impacting the function and role of managers, the paper initiates a debate revolving around the question about how business schools and higher education shall evolve to better tackle the educational challenges associated with BDADS training. Elements of response and recommendations are then provided.

I am trying to reason how cultural entrepreneurship research still could become more cultural, by developing two ideas: (1) that cultural entrepreneurship research describes the scholarly effort to inquire into how concepts, plans, recipes, rules, and instructions govern and are battled in the emergence of the organization-creation process. (2) Second, that this reveals a great affinity between the cultural and the entrepreneurial and that a more literary approach to writing cultural entrepreneurship research holds promise of a more nuanced, imaginative, and thus more cultural entrepreneurship research. In effect, the entrepreneurial process would, culturally understood, be the successful struggle to move beyond the comfortable place of dominant normality (and its assuring roles and templates) into an “un-insured” temporary space of potentialities, attractive to the imaginative mind for its motivating intimacy with hitherto undisclosed value. Most of this comes from re-reading Clifford Geertz’s (1973) The Interpretation of Cultures using Stephen Greenblatt’s (1997) The Touch of the Real as a companion. It brings me to the conclusion that we have never quite been Geertzian, and at least not Geertzian enough.

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 paper is to provide a conceptual model for the transformation of big data sets into actionable knowledge. The model introduces a framework for converting data to actionable knowledge and mitigating potential risk to the organization. A case utilizing a dashboard provides a practical application for analysis of big data.

The model can be used both by scholars and practitioners in business process management. This paper builds and extends theories in the discipline, specifically related to taking action using big data analytics with tools such as dashboards.

The authors’ model made use of industry experience and network resources to gain valuable insights into effective business process management related to big data analytics. Cases have been provided to highlight the use of dashboards as a visual tool within the conceptual framework.

The literature review cites articles that have used big data analytics in practice. The transitions required to reach the actionable knowledge state and dashboard visualization tools can all be deployed by practitioners. A specific case example from ESP International is provided to illustrate the applicability of the model.

Information assurance, security, and the risk of large-scale data breaches are a contemporary problem in society today. These topics have been considered and addressed within the model framework.

The paper presents a unique and novel approach for parsing data into actionable knowledge items, identification of viruses, an application of visual dashboards for identification of problems, and a formal discussion of risk inherent with big data.