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Article
Publication date: 1 December 2000

K.W. Chew, A.H. Yahaya and A.K. Arof

The physical properties of two types of silicone resin were examined. The resin was coated on mild steel panels and allowed to cure for one week. The resin‐coated panels were…

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Abstract

The physical properties of two types of silicone resin were examined. The resin was coated on mild steel panels and allowed to cure for one week. The resin‐coated panels were heated according to ASTM specification D 2485. The thermal stability of the resin coatings was examined by electrochemical impedance spectroscopy (EIS) technique and thermogravimetric analyses (TGA). The chemical resistance property of the resin coatings was also studied.

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Pigment & Resin Technology, vol. 29 no. 6
Type: Research Article
ISSN: 0369-9420

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Book part
Publication date: 9 July 2024

Mohammed Alawi Al-sakkaf, Waled Ahmed Al-Attas, Nasser Khalufi and Mohsen Ali Murshid

Green tourism and ecotourism have close meanings focusing on environmental factors and are sometimes related to rural tourism in general or a type of ecotourism itself. These…

Abstract

Green tourism and ecotourism have close meanings focusing on environmental factors and are sometimes related to rural tourism in general or a type of ecotourism itself. These forms emerged due to the concerns to protect the environment, and greater consideration has been given to tourism development and the notion that it should be approached carefully in light of recognizing its impacts.

The thematic concepts of green and responsible tourism raised questions about the definitions of both notions and their nexus of sustainability. Thus, the current chapter looks for an overview to understand green and responsible tourism, their emerging, definitions, practices and their role in the current scenario in the post-pandemic era.

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The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

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Book part
Publication date: 9 July 2024

Mohammed Basendwah, Saleh Amarneh, Hamid Hazim Majid and Mohammed Alawi Al-sakkaf

This chapter offers an insightful exploration into the burgeoning field of eco-tourism, focusing on the expectations and motivations of tourists gravitating towards green…

Abstract

This chapter offers an insightful exploration into the burgeoning field of eco-tourism, focusing on the expectations and motivations of tourists gravitating towards green destinations. Eco-tourism, while not a novel concept, has seen a significant resurgence in interest over the past few decades, with its roots tracing back to the wildlife reserves of Kenya in the 1960s. The narrative then transitions to an in-depth examination of what constitutes a green destination, emphasizing its foundational pillars, such as environmental conservation, sustainable tourism practices, active community engagement, educational initiatives, and the pursuit of certifications that affirm their commitment to sustainability. A central theme of the chapter is the nuanced expectations of eco-tourists who are increasingly seeking destinations that not only offer the tranquillity and beauty of nature but also adhere to sustainability principles and cultural authenticity. These expectations are intricately linked to the motivations driving tourists towards green destinations, including the desire to connect with nature, contribute to conservation efforts, and engage in travel practices that are both responsible and enriching. By weaving together theoretical insights and empirical evidence, the chapter provides a comprehensive understanding of the dynamic interplay between the demand for green destinations and the supply of sustainable tourism experiences, ultimately highlighting the critical role of eco-tourism in paving the way for a more sustainable and ethical travel industry.

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The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

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Book part
Publication date: 9 July 2024

Mohammed Alawi Al-sakkaf, Mohammed Basendwah, Saleh Amarneh and Abdullah Mohammed Sadaa

Despite the concept of regenerative tourism (RT) is still under research, there are recognized attempts to conceptualize RT from different thoughts, paradigms, worldviews and…

Abstract

Despite the concept of regenerative tourism (RT) is still under research, there are recognized attempts to conceptualize RT from different thoughts, paradigms, worldviews and frameworks, even though the integral or alternative paradigms lack a detailed description. Therefore, the goal of this chapter is to overview the current debates on the background of RT, its definitions and its relationship with sustainability and tourism besides exploring the RT paradigms, principles and objectives in extant literature.

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The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

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Book part
Publication date: 9 July 2024

Salameh Jamil Salameh Alkhazaleh, Laith Jabur Ali Daradkah, Ahmad Mohammad Aldegis, Ibrahim Barjes Saad Almashaqbeh and Abdullah Mohammed Sadaa

Artificial intelligence (AI) supports increased efficiency in different sectors. AI is among various sectors' most innovative and measurable solutions. AI has revolutionized new…

Abstract

Artificial intelligence (AI) supports increased efficiency in different sectors. AI is among various sectors' most innovative and measurable solutions. AI has revolutionized new ideas in our daily lives, such as the Internet of things, the Internet of people and the sharing economy. Like other sectors, the tourism sector is one of the sectors affected by AI, where different intelligent systems are used in travel agencies and transport companies. In addition, technological breakthroughs are expected to increase in the tourism sector, leading to a rearrangement of the technological revolution in the tourism sector. We hope that the process of technological progress in the field of tourism is constantly advancing and cannot be stopped. Accordingly, we came to the following question: How can adaptation be made to the progress brought by AI to the tourism sector? The continuous technological advancement in the tourism sector is expected to lead to the end of human civilization, especially since technological machines have become more intelligent than humans.

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The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

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Book part
Publication date: 16 September 2017

Maya Cara, Julian Birkinshaw and Suzanne Heywood

In this chapter, we explore the relationship between organizational complexity and firm-level innovation. We define and operationalize a new construct, experienced complexity…

Abstract

In this chapter, we explore the relationship between organizational complexity and firm-level innovation. We define and operationalize a new construct, experienced complexity, which is the extent to which the organizational environment makes it challenging for decision makers to do their jobs effectively. We distinguish experienced complexity from structural complexity, which is the elements of the organization, such as the number of reporting lines or integrating mechanisms, that are deliberately put in place to help the organization deliver on its objectives, and we argue that structural complexity correlates positively with firm-level innovation, while experienced complexity correlates negatively with innovation. Using a novel dataset combining survey and objective data on 209 large firms, we find support for our arguments.

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Entrepreneurship, Innovation, and Platforms
Type: Book
ISBN: 978-1-78743-080-8

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Book part
Publication date: 2 September 2019

Bruno S. Sergi, Elena G. Popkova, Aleksei V. Bogoviz and Tatiana N. Litvinova

Abstract

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Understanding Industry 4.0: AI, the Internet of Things, and the Future of Work
Type: Book
ISBN: 978-1-78973-312-9

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Book part
Publication date: 15 March 2022

Gratien J. J. David Pillai

In this chapter, we will be exploring the role of leadership within small businesses. Leadership is an essential element in the management of any organisation and is even more…

Abstract

Chapter Contribution

In this chapter, we will be exploring the role of leadership within small businesses. Leadership is an essential element in the management of any organisation and is even more crucial when it comes to small businesses. In particular, both the structure and the specific stage of development of small businesses determines the need for an evolving style of leadership. Unlike their counterparts at larger organisations, small business leaders usually have a higher level of hands-on involvement across multiple areas of responsibility, including strategic decision-making and financial management, as well as team leadership and motivation.

Some key leadership skills, such as having a clear vision, communicating successfully across all business levels, leading by example and keeping the team engaged, are shared by all enterprises, regardless of size and nature. It is critical for small business leaders to understand that each stage of an organisation’s lifecycle brings with it different opportunities and challenges that should be dealt with by adopting different leadership techniques. A ‘one-size-fits-all’ approach will not work, and could even become detrimental in the long term.

During an organisation’s early days, a leader’s main role is to inspire the individuals they work with by sharing their vision and purpose without the need for formal management processes. In this chapter, we will be exploring the above issues in relation to the role of leadership within small businesses in greater depth.

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Small Business Management and Control of the Uncertain External Environment
Type: Book
ISBN: 978-1-83909-624-2

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Article
Publication date: 18 September 2007

K.W. Chew, A.K. Arof and R. Puteh

This paper sets out to study the characteristics of silicone‐acrylic‐based resin and paint systems on mild steel panel for chemical resistance and high‐temperature applications.

642

Abstract

Purpose

This paper sets out to study the characteristics of silicone‐acrylic‐based resin and paint systems on mild steel panel for chemical resistance and high‐temperature applications.

Design/methodology/approach

Silicone resin has been incorporated into acrylic resin at various compositions. The mixed resins binders and paint systems have been characterised using physical test, acceleration test, electrochemical test and microstructure observation.

Findings

The addition of silicone resin into acrylic resin showed significant improvement against high temperature. The results showed that coating film containing at least 30 per cent of silicone resin by weight was able to withstand high temperature of at least 250°C. With the addition of titanium dioxide (TiO2) pigment into the best performing silicone‐acrylic‐based resin system, the system with pigment volume concentration of 30 per cent TiO2 showed the best performance which indicated the value of critical pigment volume concentration. The finding showed blistering formed in low‐PVC systems and rusting in high‐PVC systems.

Research limitations/implications

Owing to the environmental issue, water‐based silicone‐acrylic resins should be explored to reduce the emission of harmful organic solvent. This can be done using solventless or powder coating technique.

Practical implications

Silicone‐acrylic resin coatings are a cost‐effective high‐temperature coating that have moderate resistance against corrosive environment such as marine water and also outdoor exposure with rain/sunshine cycles.

Originality/value

The studies of this resin may give useful reference to other researchers.

Details

Pigment & Resin Technology, vol. 36 no. 5
Type: Research Article
ISSN: 0369-9420

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Book part
Publication date: 29 January 2024

Shafeeq Ahmed Ali, Mohammad H. Allaymoun, Ahmad Yahia Mustafa Al Astal and Rehab Saleh

This chapter focuses on a case study of Kareem Exchange Company and its use of big data analysis to detect and prevent fraud and suspicious financial transactions. The chapter…

Abstract

This chapter focuses on a case study of Kareem Exchange Company and its use of big data analysis to detect and prevent fraud and suspicious financial transactions. The chapter describes the various phases of the big data analysis cycle, including discovery, data preparation, model planning, model building, operationalization, and communicating results, and how the Kareem Exchange Company team implemented each phase. This chapter emphasizes the importance of identifying the business problem, understanding the resources and stakeholders involved, and developing an initial hypothesis to guide the analysis. The case study results demonstrate the potential of big data analysis to improve fraud detection capabilities in financial institutions, leading to informed decision making and action.

Details

Digital Technology and Changing Roles in Managerial and Financial Accounting: Theoretical Knowledge and Practical Application
Type: Book
ISBN: 978-1-80455-973-4

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