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Total maximum word count 9900 words 36 pages (double spaced, 275 words per page)
Style: Harvard

Chapter 1 Introduction and Background (1000words)
1.1 Introduction
1.2 Background to the study

1.3 The research problem

1.4 Rationale (reason for the study)
1.5 Aims and objectives of the study
The major aim of this research work is to focus on the role of leadership from a theoretical and practical framework, and investigate how good leadership leads to creativity and innovation.
The paper will be discussing the Operational Definitions and Key Terms such as leadership styles, Transformational leadership, characteristics and traits of creativity people in addition to the relationship between leadership and creativity and innovation.

1.6 Research questions
Research Questions:
1-what is the significance of this study and its
impact on the workplace?
2- What are the foundations of leadership, creativity and
innovation?
3- What is the relationship between creativity
and leadership? And what is creative leadership?
4-How could creativity and innovation be
measured?

1.7 The relevance of the study

1.8 Structure of the dissertation

Chapter 2 Literature review (3500words)
2.1. Introduction

2.2. Conclusion
Chapter 3 Research methods (1500 words)
3.1 Introduction
.
3.2 Research purpose
3.3 The research framework
3.4 Research philosophy and perspective
3.5 Research Approach adopted

3.6 Qualitative vs. Quantitative study
3.7 Research methods used- Case studies and Secondary research only
3.8 Sampling method
3.9 Data analysis
3.10 Validity and reliability- triangulation
3.11 Ethical concerns
3.12 Limitations and delimitations of the study
3.13 Conclusion

Chapter 4 Data Findings and Presentation of Results (1000 words)
4.1 Introduction
4.2Case study results in tables
4.3Secondary research results
4.4Conclusion

Chapter 5 Data analysis and Discussion (2000 words)
5.1. Introduction
5.2. Overview
5.3. Discussion of the specific objectives

5.4. Conclusion

Chapter 6 Conclusions and Recommendations (1000 words)
6.1. Introduction
6.2. Conclusions
6.3. Implications of the study
6.4. Recommendations

Appendices
Appendix 1:

References
Required 80 to 90 sources (Mainly recent sources between 2005 to 2015)

Overview
———————————————————————–
Dissertation title:
INVESTIGATING HOW EFFECTIFE LEADERSHIP
LEADS TO A GRATE CREATIVITY AND INOVATION.
Aims of the dissertation:
In the twenty first century leaders are
challenged to integrate different work ethics,
communication styles and capabilities,
expectation of management styles, wages and
benefits, diversity and values because they
became more aware of the changes that have
been made by technology (Meister & Willyerd,
2010). The major aim of this research work is to
focus on the role of leadership from a
theoretical and practical framework, and
investigate how good leadership leads to
creativity and innovation. The paper will be
discussing the Operational Definitions and Key
Terms such as leadership styles,
Transformational leadership, characteristics and
traits of creativity people in addition to the
relationship between leadership and creativity
and innovation.
Research Questions:
1-what is the significance of this study and its
impact on the workplace?
2- The foundations of leadership, creativity and
innovation?
3- What is the relationship between creativity
and leadership? And what is creative leadership
4-How creativity and innovation could be
measured?
Research method
Secondary research
——————————————————————————-
Guidance on the structure of a 10,000
Dissertation
Note this is an indicative structure only
Chapter One-Introduction
The purpose of this chapter is to justify the topic
of the dissertation or research project as being
worthy of research.
To do this successful the student should:
• Introduce the topic and its context.
• Locate the topic within current academic
literature.
• Draw from non-academic literature sources
(e.g. specific company literature, government
reports, newspapers etc.) to demonstrate the
wider relevance of the topic.
• Show the contemporary nature of the study.
• Present the research questions to be studied
as a logical consequence of the argument they
have constructed.
• Summarise the chapter and introduce the next
chapter.
(Proportion of word count, approximately 10%)
Chapter Two-Literature Review
Do not cut and paste text into the literature
review.
The purpose of this chapter is to review and
critically analyse the academic literature
pertinent to the research question(s) – this
chapter also provides material to be used in the
data collection stage.
To do this successfully the student should:
• Ensure the reviewed literature is relevant by
using the research question(s) as sub-headings,
at least in the draft stage.
• Demonstrate their knowledge and
understanding of the academic debates relevant
to their topic.
• Critically analyse key contributions, identifying
their strengths and weaknesses, testing their
internal consistency, and acknowledging and
presenting the inevitable counter-arguments.
• Avoid presenting literature uncritically – this
does not demonstrate understanding.
• Avoid presenting only the positive side of an
argument, as a researcher he/she must
acknowledge and evaluate the negative aspects
of their chosen topic.
• Summarise the chapter and introduce the next
chapter.
(Word count 40%)
Chapter Three-Research Methodology
The purpose of this chapter is to justify the
research methodology chosen by the student as
following accepted academic convention.
To do this successfully the student should:
• Support and substantiate his/her claims
throughout with reference to appropriate
research methodology literature.
• Justify the research strategy chosen.
• Ensure the strategy is consistent with his/her
identified research approach (qualitative or
quantitative for example).
• Discuss the advantages and disadvantages of
the type of research approach chosen and the
data collection methods employed.
• Identify the limitations of the research.
• Summarise the chapter and introduce the next
chapter.
(Word count 15%)
Chapter Four-Data Presentation and Analysis
The purpose of this chapter is to present the
data and analyse the findings in relation to the
literature reviewed in chapter two.
To do this successfully the student should:
• Ensure relevance by using the research
questions as sub-headings, at least in the draft
stage.
• Present the data in a clear and coherent
manner, using tables, graphs etc. as he/she sees
fit.
• Critically discuss the findings in relation to the
literature in chapter two, identifying areas of
agreement and disagreement, and give some
thought as to why the results he/she obtained
were so.
• Identify any results that were puzzling or
unexpected and consider why this was so.
• Summarise the chapter and introduce the next
chapter.
(Word count 25%)
Chapter Five-Conclusions and Discussion
The purpose of this chapter is to conclude the
study by drawing together all the key points and
to identify recommendations drawn from the
research.
To do this successfully the student should:
• Conclude the study effectively by drawing
together all the main issues and presenting
them in a coherent narrative.
• Reflect upon the process of the research
identifying what went well and what should
have been done differently.
• Identify the limitations of the study.
• Identify any areas of further study highlighted
during the research process.
• Include any reflections on how the research
has affected the author personally.
• Summarise the whole of the study.
(Word count 10%)

Chapter 1 Introduction and Background
1.1 Introduction
Business intelligence systems/tools/software play a critical role in the strategic planning and activities of a corporation. The intelligent systems enable the firms to collect, store, access and evaluate the collected data to enhance decision making (xxxxx; xxxxx). Based on the information presented by xxxx (year) and xxxxxx&xxxx (year) the business intelligence systems/ software enable effective client support, customer profiling, market segmentation, statistical analysis, enhances product profitability and the distribution and inventory analysis. The aim of this study is to examine the concept of big data and business intelligence software and their roles and support for the supply chain management and logistics. The idea is to demonstrate the main differences between the various business intelligence software, such as the xxxxxxx, xxxxxxx, excel, SAS and to illustrate their abilities and differences (xxxx; xxxxx&xxxxxxxxxx; xxxxxxx). The study will also investigate the extant relevant literature regarding the big data and business intelligence software and their application in the supply chain management and logistics.
1.2 Background to the study
Supply chain management and modern logistics relate to organizations, activities and operations, which focus on the optimization of materials and flow of information for the firm (xxxxxx; xxxxxx; xxxxxx). The management is attained through the use of business intelligence software and business application systems such as the enterprise resource planning. The movements in supply chain and information flow is often bidirectional and throughout the chain the material and information flow is enhanced by the use of technology to examine customer demands to upstream supply chain functions and subsequently pull (demand-driven) supply chain activities (xxxxxx; xxxxxx; xxxxxx; xxxxxx; Wong 2013). Based on xxxxxx (year)’s descriptions, technology encompasses software and hardware applications including computers, firmware and middleware together with the internet and internet infrastructures, software platforms and operating systems. Supply chain management focuses on acquiring the right products and the correct quantities to the appropriate location at the lowest cost (xxxxxx; xxxxx). The essential objective is to eliminate waste of all kinds in which the supply chain entities touch such as inventory, customer management, procurement and financial functions. According to xxxxxx (xxxxx), there is the explosion of the internet technologies, global trade and international logistics, which have opened up markets for the t firms enabling them to gain the web market presence (xxxxxx; xxxxx). xxxxx, xxxxx and xxxxxx explains that today’s marketplace demands that companies should adopt agile and efficient software and hardware systems that enhance data processing, collaboration, product innovation and customer fulfillment.
1.3 The research problem
Handling big data has been one of the most challenging tasks in many companies and organizations. Many companies strive to adopt and implement procedures and systems in order to deal with the novel attributes of big data (xxxxxx; xxxxxx; xxxxxx). The novel challenges create way for increased insecurity and confidentiality issues as well as research problems that lead to inconsistencies and more data problems. According to xxxxxxx, the big data problems are often triggered by practical and methodological issues, especially with regards to the kind of software systems that are applied to perform the various tasks. In xxxxxx, xxxxxx and xxxxxxx’s view, manipulating big data repositories and achieving scalable data solutions require companies to investigate and adopt innovative/ technological solutions such as the business intelligent software which provide structures that prevent data replication, enable effective data summarization and provide useful methods and paradigms for classical data mining and processing to the novel requirements.
1.4 Aims and objectives of the study
The principal objective of the study is to investigate the concept of big data and business intelligence software for supply chain management and logistics. In order to address the research objective, the following sub objectives will be looked at:
a) To demonstrate the main differences between the various business intelligence software including the hadoop, pentaho, excel, SAS.
b) To illustrate the abilities of the Business intelligence software and how their abilities differ.
c) To explore the existing relevant literature regarding the big data and business intelligence software and their application in the supply chain management and logistics.
d) To apply the software in a real or imaginary case and present the results and insight that come from at least one of them in order to emphasize the benefits of using these software.
1.5 Research questions
a) What are the main differences between the various business intelligence software?
b) What are the capabilities of the Business intelligence software and how do their abilities differ.
c) What are the existing relevant literature regarding the big data and business intelligence software and their application in the supply chain management and logistics.
a) What are the benefits of using the business intelligence software for data analysis?
b) Should a company use business intelligence and data analytics software? Which are the benefits of these software?
c) Are there any recommendations for future research on the subject of “Big Data and Business Intelligence software”?
1.6 The relevance of the study
The study pertaining to the big data and business intelligent software for supply chain management and logistics is very relevant today especially because of the increased need for the business systems as a way to optimize business and company operations. According to xxxxxxx, xxxxxx,xxxxx and xxxxxx, computers and information technology changes more rapidly everyday together with the business requirements . This means that business decision makers need to constantly respond to the client demands and to device strategies that counter the threats more effectively. The success of the supply chain and logistics in companies today is measured by how the companies leverage business applications and software to influence business operations for improved competitive advantage and business performance. Companies also need to understand the utilization of business intelligence software for optimization and how to introduce the suitable and effective business and software models without spending millions of funds upgrading the present ones (xxxxxx;xxxxxx; xxxxxx). Based on the information presented by xxxxx and xxxxxx), supply chain and logistics companies that understand how to use, transform and manipulate data into business results using the business intelligence software are often more successful than those that do not. In xxxxxx and xxxxxxx’s view, the business intelligence software, when viewed from a business perspective, emphasizes on smart business and effectiveness of the systems which monitor and evaluate activities, events and operations and that result in optimum solutions. Just like the studies conducted by xxxxxxx, xxxxxxx, andxxxxxxx, this study, demonstrates the relationship among data, knowledge, information and intelligence as well as the crucial factors regarding each of the aspects. It also supports and illustrates the shifting paradigm from business intelligence to performance optimization. According to xxxxxxx (2009), business intelligence software examine the essence of employees’ and customers’ experiences and demands as well as the company’s activities that are interrelated with the external events. The insights to the understanding of the correlation is very crucial especially to the company executives and encourages them to get more involved in the full utilization of the business intelligence in boosting their business operations.
1.7 Structure of the dissertation
The first chapter is the introduction to the thesis. It presents the objectives, the research problem, the relevance and the background of the study. The second chapter will compile and evaluate the relevant subjects and topics that address the objectives and the topic of the stuffy. In formation on big data and business intelligence software will be evaluated as presented by various authors and writers. The third chapter will describe the research methods and techniques applied to collect the relevant data to address the objectives. The fourth chapter will convey the study results and findings which will be evaluated and discussed in details. The last chapter will present the general conclusions and summary of the study findings and will demonstrate how the results address the research questions and objectives.