Search results

Assesses the present stage of marketing development in Egypt. Identities the basic factors responsible for the development or underdevelopment of marketing. Concludes that economic growth is directly related to marketing development which grows to fulfil the need of its economy. Reveals that in Egypt marketing is underdeveloped, which is a reflection of the economic and social setting.

The purpose of this paper is to study the inhibition effect of (6-phenyl-3-oxopyridazin-2-yl) acetohydrazide (GP4) on the corrosion of mild steel in acidic medium by gravimetric measurements, potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS).

Weight loss measurements, potentiodynamic tests and EIS were performed during this study.

(6-phenyl-3-oxopyridazin-2-yl) acetohydrazide (GP4) was found to be a very efficient inhibitor for mild steel in 1.0 M HCl solution, reaching about 85 per cent with inhibitor concentration 1.0 × 10-3 M at 303 K.

(6-phenyl-3-oxopyridazin-2-yl) acetohydrazide (GP4) was found to play an important role in the corrosion inhibition of mild steel in acidic solution.

This paper is intended to be added to the family of pyridazine derivatives which are highly efficient inhibitors and can be used in the area of corrosion prevention and control.

Digital twins provide enormous opportunities for smart buildings. However, an up-to-date intellectual landscape to understand and identify the major opportunities of digital twins for smart buildings is still not enough. This study, therefore, performs an up-to-date comprehensive literature review to identify the major opportunities of digital twins for smart buildings.

Scientometric and content analysis are utilised to comprehensively evaluate the intellectual landscape of the general knowledge of digital twins for smart buildings.

The study uncovered 24 opportunities that were further categorised into four major opportunities: efficient building performance (smart “building” environment), efficient building process (smart construction site environment), information efficiency and effective user interactions. The study further identified the limitations of the existing studies and made recommendations for future research in the methodology adopted and the research domain. Five research domains were considered for future research, namely “real-time data acquisition, processing and storage”, “security and privacy issues”, “standardised and domain modelling”, “collaboration between the building industry and the digital twin developers” and “skilled workforce to enable a seamless transition from theory to practice”.

All stakeholders, including practitioners, policymakers and researchers in the field of “architecture, engineering, construction and operations” (AECO), may benefit from the findings of this study by gaining an in-depth understanding of the opportunities of digital twins and their implementation in smart buildings in the AECO industry. The limitations and the possible research directions may serve as guidelines for streamlining the practical adoption and implementation of digital twins for smart buildings.

This study adopted scientometric and content analysis to comprehensively assess the intellectual landscape of relevant literature and identify four major opportunities of digital twins for smart building, to which scholars have given limited attention. Finally, a research direction framework is presented to address the identified limitations of existing studies and help envision the ideal state of digital twins for smart buildings.

If the events of late 1973 have been the catalyst for an accelerated transition from the age of low‐cost oil, they have also demonstrated, on the one hand, the feasibility of demarketing as an advantageous optional strategy for the oil‐exporting countries and, on the other, the inevitability of demarketing as an appropriate strategy to cope with the new situation in the oil‐importing countries. Writing in 1971, Kotler and Levy asserted that the marketer's task is not blindly to seek increases in sales; rather, it is “to shape demand to conform with long‐run objectives”, including “that aspect of marketing that deals with discouraging customers in general or a certain class of customers in particular on either a temporary or a permanent basis”, i.e., demarketing. Kotler and Levy could not have hoped for a better situation to prove the soundness of their ideas than the present oil crisis.

Reports part of the results of an investigation of marketing organization structures in the British textile industry. Looks particularly at textile engineering, wool textiles and clothing sectors through results obtained from a survey carried out among 322 companies. Determines the extent to which the marketing concept is accepted by managers and implemented within their companies. Identifies the factors associated with acceptance and implementation focusing mainly on the chief marketing executive and the organization in which he/she works.

One of the most hyped concepts in the manufacturing industry is ‘Industry 4.0’. The ‘Industry 4.0’ concept is grabbing the attention of every manufacturing industry across the globe because of its immense applications. This phenomenon is an advanced version of Industry 3.0, combining manufacturing processes and the latest Internet of Things (IoT) technologies. The main advantage of this paradigm shift is efficiency and efficacy in the manufacturing process with the help of advanced automated technologies. The concept of ‘Industry 4.0’ is contemporary, so it falls under exploratory study. Therefore, the research methodology is thematic narration grounded on secondary data (online) analysis. In this light, this chapter aims to explain ‘Industry 4.0’ in terms of concepts, theories and models based on the Web of Science (WoS) database. The data include research manuscripts, book chapters, blogs, white papers, news items and proceedings. The study details the latest technologies behind the ‘Industry 4.0’ phenomenon, different business intelligence technologies and their practical implications in some manufacturing industries. This chapter mainly elaborates on Industry 4.0 frameworks designed by (1) PwC (2) IBM (3) Frost & Sullivan.

Nusantara, Indonesia’s currently developed new capital city, aims to lead the nation toward a more efficient and sustainable future by fostering an inclusive, sustainable, and prosperous development for all. Envisioned to be built as a smart city, Nusantara leverages the latest technological advancements across various domains as the basis for this cutting-edge urban development. This chapter discusses the advanced technologies implemented to realize the smart city concept in the development of Nusantara. The Nusantara smart city framework encompasses six domains: smart governance, transportation and mobility, smart living, natural resources and energy, smart industry, and human resources, along with the smart built environment and infrastructure, aiming to transform Nusantara into a smart city that epitomizes efficiency, sustainability, and inclusivity. This framework outlines integrating advanced technologies to foster a resilient economy, a sustainable environment, and an enhanced quality of life for its citizens through improved administrative procedures, transportation systems, public safety, healthcare access, resource management, and infrastructure development. Implementing this framework can provide insight into the future development of smart cities in the Gulf Region, poised to significantly impact societal well-being and economic resilience significantly, demonstrating a model for future urban development that harmonizes community engagement, technological innovation, and environmental preservation.

The recent Middle East war and the subsequent strengthening of political ties between the United States and Middle Eastern countries have opened the doors to attractive business opportunities and increased the chance for the transferability of Western business practices more than ever before. The objectives of this study were to examine marketing practices among Egyptian firms. The results from 51 firms operating in various sectors of the Egyptian economy indicate a massive neglect and absence of modern marketing practices among the surveyed firms. Foreign firms that adapt their strategies to cultural and structural impediments to marketing in that country will prove most profitable.

The purpose of the study was to investigate the effects of artificial intelligence (A.I.) awareness, advertisement models and source-message incongruence on consumer evaluations of A.I.-generated advertisements. It explores how these factors interact in shaping consumer perceptions and advertising effectiveness.

A 2 (source-message (in)congruence: incongruent vs. congruent) x 3 (A.I. awareness: unawareness, pre-advertisement, post-advertisement) x 3 (advertisement model: traditional human, virtual human, digital twin) between-subjects design was employed in this study. Using stratified random sampling, a total of 231 undergraduate students were recruited from course groups and randomly assigned to one of nine experimental treatments, each involving the viewing of a specific A.I.-generated advertisement followed by a survey. Data were analyzed using two-way ANCOVA and regression analyses, controlling for participants' involvement in sports and brand.

The results indicated that A.I. awareness timing, advertisement model types and source-message incongruence significantly affected consumer evaluations of advertisements. A.I. awareness generally had a positive impact on evaluations, with the most favorable outcomes when awareness of the A.I.-generated nature occurred after viewing the advertisement. Virtual human models were rated the lowest, while digital twin and traditional human models received similarly positive evaluations. Source-message incongruence negatively influenced evaluations. An interaction effect was observed between A.I. awareness timing and advertisement model types under high source-message incongruence, where virtual human models showed the highest effectiveness when A.I. awareness occurred after viewing.

Given that sports are characterized by the transcendence of human limitations and the emphasis on physical and emotional challenges – elements that A.I. cannot replicate – it is essential to examine how sports consumers perceive A.I., which, despite offering efficiency and personalization advantages, contrasts with the fundamentally human nature of athletic performance. This research contributes to the literature on A.I.-generated advertising by uniquely investigating the interaction between A.I. awareness timing and advertisement model types within the context of source-message incongruence. It offers critical insights for practitioners and researchers on strategically timing A.I.-generated ad disclosures and selecting appropriate advertisement models to optimize their effectiveness. By addressing these underexplored variables, the study enhances understanding of consumer perceptions and provides a foundation for more effective A.I. integration in advertising practices.

The Metaverse and Internet of Things (IoT) have emerged like a tidal wave, and it is creating a transformative impact on society and industry. The metaverse and IoT changed the way companies were operating earlier and customers were living their lives. On the other hand, Metaverse enriches the customer experience by offering a matchless virtual experience using augmented reality and state-of-the-art technology. The metaverse and the IoT can be used in various sectors such as manufacturing, transportation, retailing, health care, banking, and automobiles to make cities smart. Metaverse and IoT provide real-time data, reduces operational cost and errors, improves efficiency, and helps industries to make intelligent decisions. Although the IoT and Metaverse offer significant benefits, it is not free from limitations. Ethical dilemmas, privacy issues, data breaches, and difficulty in extracting relevant data impose serious challenges that need to be addressed. There is an urgent and dire need to create a trade-off between the interest of the business and the privacy and security of customers. This chapter aims to discover the potential of Metaverse and IoT in various sectors (e.g., healthcare, transportation, and electronics). This study will bring significant insights to researchers and policymakers by exploring the likely benefits of IoT and metaverse in diverse sectors to develop smart cities. This chapter will also explain the challenges of metaverse and IoT, which can be addressed by integrating data analytics tools optimally and efficiently.