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Purpose: This study investigates the influence of inflation and oil price fluctuations on stock prices and returns. A thorough bibliometric analysis of research articles published in the last 22 years has been conducted to achieve this objective.

Need for the Study: Inflation and oil prices are critical macroeconomic variables that significantly impact the economy, including the stock market. It is crucial for investors and policymakers to understand the complex relationship between these economic variables and the stock market.

Methodology: The study employed a bibliometric analysis to identify the most influential authors, institutions, and research themes related to the impact of inflation and oil prices on stock prices.

Findings: The study identified that the fluctuations of the stock market are significantly influenced by both inflation and oil prices. This relationship has been extensively studied in the literature, with several key research themes identified. These themes include the effects of inflation and oil prices on various sectors and industries, the role played by monetary and fiscal policy, and the impact of international trade and global economic conditions.

Practical Implications: The insights that have emerged have significant implications for investors and policymakers. It highlights the need for risk management strategies and mitigation of macroeconomic factors’ impact on stock prices.

This study aims to examine the performance implications of blockchain implementation in the supply chain and explore how blockchain functions and supply chain processes of blockchain implementation moderate the effect on firm performance.

Using 220 blockchain implementations announced between January 2015 and December 2022, we use the event study methodology to estimate the effects of blockchain implementation on the firm value. Regression analyses are conducted to examine the moderating effects of blockchain functions and supply chain processes.

First, there is a positive and statistically significant relationship between blockchain implementation in the supply chain and firm value. Second, we find that abnormal returns from blockchain implementation are higher when used with blockchain’s contract automation function and applied in downstream processes, supporting the moderation effects.

The study provides empirical evidence on the effects of the blockchain implementation on firm performance, taking into account the complexity of blockchain functions and supply chain processes. It enriches the current understanding of how blockchain implementation in the supply chain contributes to firm value.

The purpose of this paper is that the long fluorocarbon monomer is used to modify the latex. The film of the resultant latex has the C-F bond with high bond energy and low surface energy, which can effectively improve the heat resistance and water resistance of the resultant film. In addition, a mixture of CO-436 and dibutyl maleate (DBM) as surfactants is used as the emulsifier, which brings the new application of the above surfactants.

The modified Vac-VeoVa10 copolymer nanometre latex modified VAc-VeoVa10 latex has been successfully synthesized via the semi-continuous seeded emulsion polymerization, which VAc and VeoVa10 is used as the main monomers and long fluorocarbon monomer was used as the functional monomer. Potassium persulphate (KPS) and the mixture of CO-436 and DBM were used as the initiator and emulsifier, respectively. The structure of resultant latex film was characterized by Fourier transform infrared spectroscopy (FTIR). The latex films were tested by thermogravimetric analysis, differential scanning calorimetry and contact angle. The particle size and its distribution of the latex were measured by the nano particle size analyzer.

Detailed investigation was conducted on the factors influencing the properties of the latex and film. The stability of the resultant latex is good. The average particles of the latex and its distribution are small and uniform, respectively. In comparison with the conventional latex film, the thermal stability and hydrophobicity of the resultant latex film are improved obviously.

The modification of p (VAc-VeoVa10) using a new emulsifier and long fluorocarbon monomer has not been widely reported. In this study, the modified Vac-VeoVa10 copolymer nanometre latex modified VAc-VeoVa10 latex has been successfully synthesized via the semi-continuous seeded emulsion polymerization, which VAc and VeoVa10 is used as the main monomers and long fluorocarbon monomer was used as the functional monomer. KPS and the mixture of CO-436 and DBM were used as the initiator and emulsifier, respectively.

This study investigates the reciprocity mechanism in value co-creation and clarifies how service providers may effectively trigger customer participation behaviour and boost value co-creation to enhance customer citizenship behaviour, which brings extra benefits for service providers.

By combining equity theory, social exchange theory and co-creation theory, this research proposes a model for the reciprocity mechanism in value co-creation incorporating customer co-creation perception (CCCP) conducting hotel dialogue, access, risk assessment and transparency (DART) activities; customer participation behaviour (CPB – information seeking, information sharing, responsible behaviour and personal interaction); customer citizenship behaviour (CCB – feedback, advocacy, helping and tolerance) and value co-creation in hotels. It also applies script theory to explore how customers’ previous experiences with the hotel may impact the value reciprocity mechanism. The collected data from tourists are analysed using partial least squares structural equation modelling (PLS-SEM).

The results confirm that CCCP drives CPB, value co-creation and CCB. CPB also enhances value co-creation, consequently boosting CCB. Moreover, CPB and value co-creation are the reciprocity mechanisms that mediate CCCP to CCB. Findings also reveal that CPB has a greater impact on value co-creation for first-time customers. In contrast, CCCP has a higher effect on value co-creation for repeat customers.

The proposed model is a managerial tool that assists practitioners in effectively driving customer participation behaviour and improving value co-creation for first-time customers and repeat customers.

This study uncovers the significance of the hospitality service provider’s DART actions in forming customer perceptions and leading customer behaviour towards value co-creation.

This study proposes to conceptualize and explicate the progress of end-to-end data pipelines to enable seamless data flow, addressing the mounting demand for instantaneous information in the vibrant field of marketing analytics. Ensuring timely access to inclusive analytics, it empowers marketers to make conversant decisions promptly. The study espouses a conceptual approach, starting with the classification and identification of various data sources crucial for thorough marketing analytics. It probes into the complexities of designing adaptable and scalable architectures for extensive data pipelines, ensuring effective data collection, processing, and storage. Emphasizing case analyses of marketing analytics tools, the study delivers practical insights and exhaustive examinations of existing solutions. The findings offer a broad understanding of the key components and strategies necessary for realizing smooth data flow in real-time marketing analytics. This investigation contributes expressively to the field by outlining a robust framework for continuous data flow, identifying the benefits and challenges associated with data pipelines. From a hands-on standpoint, it provides organizations with appreciated insights for building effective end-to-end data pipelines, bestowing strategies for implementing real-time marketing analytics outlines that enhance decision-making processes. The originality and value of this research lie in its universal approach to addressing the challenges of real-time marketing analytics, offering a fresh viewpoint on creating seamless data flow frameworks. The gathered information has the latent to drive innovation in marketing analytics, serving as a crucial resource for companies aiming to gain a competitive edge in today’s data-driven market. This inclusive approach ensures that the study’s contributions are both theoretically significant and practically applicable.

The purpose of the current research is to examine the relationship between social capital (SC) and financial performance (FP) in industrial enterprises in the Kurdistan Region of Iraq and Sulaimani City (KRG), as well as the role of the quality of accounting information (QAI) as a mediator between SC and FP.

In this study, SmartPLS is used to analyze the questionnaire that was distributed to 10 industrial firms engaged in the iron industry in 2021. The researcher used stratified random sampling to collect sample data from 252 full-time employees of a manufacturing companies in Kurdistan Region/ Iraq.

The findings of this research show that accounting measurement and disclosure of social capital (AMDSC) plays an important role in improving FP and that QAI mediates between AMDSC and FP in industrial companies in the KRG and Sulaimani city. This research aims to examine the impact of AMDSC on FP through mediating the QAI between AMDSC and FP at industrial companies in KRG/Sulaimani City. The results showed that AMDSC had a positive and significant impact on the company’s FP. The overall results of this study show that AMDSCs are positively and significantly correlated with financial performance, and QAI mediates between AMDSC and FP. This shows that SC should be considered in the companies’ plan to obtain additional funding in this sector.

This study is exclusive to KRG/Sulaimani City’s iron industry. Other industries including sugar, cement, clothing, vehicles and medications could be the subject of future investigations.

The research provides insightful practical implications for management. First, the outcomes recommend that business owners and managers find a satisfactory level of SC when it significantly and positively affects financial performance. Second, the findings of this study will assist KRG manufacturing companies in making rational decisions to maximize profits while minimizing transaction costs such as information and research costs, increasing trust or reducing administrative burdens. This will eventually lead to the growth of industrial companies’ wealth in KRG/Sulaimani City. Managers should focus on social relationships between employees and management to maximize trust and reduce transaction costs, as they have future earnings.

Due to the lack of prior attention given to social capital in KRG, this research focuses on enhancing financial performance in industrial enterprises in KRG and Sulaimani City.

The purpose of this paper is to study and report the effects of silver (Ag) content, glass phase particle size and Ag/antimony-doped tin oxide (ATO) particle size on the properties of ATO thick film resistor pastes, especially on the microstructure, square resistance, temperature coefficient of resistance (TCR), resistance temperature curve and other properties of the pastes.

Thick film resistor pastes with different Ag content, glass phase particle size and ATO particle size were printed on stainless steel substrates by screen printing technology, and a series of Ag/ATO thick film resistors (TFRs) were obtained after high-temperature sintering. The electrical properties of TFRs were evaluated. The microstructure development, square resistance, TCR and other properties of the developed TFRs were evaluated with the change in Ag content and the particle size.

The results show that with the increase of Ag content, the square resistance of the pastes decreases and the TCR increases. The change rate of resistance after resintering is less than 4%, and the pastes show excellent antiaging properties. Meanwhile, with the increase of the particle size of the glass phase, the square resistance decreases first and then increases, and the TCR increases first and then decreases, which has little effect on the conductive behavior. The increase in ATO particle size leads to an increase in the square resistance of TFRs and a decrease in the TCR.

This paper provides a useful evaluation of the square resistance, TCR and other properties of Ag/ATO thick film resistor pastes, which are related to the Ag content, glass phase particle size and ATO particle size of the developed TFRs. The thick film resistor pastes with zero TCR can be obtained using Ag/ATO as the functional phase without Pd or Pt.

Purpose: This study presents a comprehensive bibliometric analysis to explore the evolving role of artificial intelligence (AI) in the financial sector, emphasizing the breadth and depth of research in this dynamic field through science mapping.

Need for the Study: The advancement of AI within the financial sector heralds a significant transformation, altering the traditional methodologies financial entities utilize to confront industry-specific hurdles and seize opportunities.

Methodology: The investigation spans articles from the Web of Science databases, covering a total of 295 documents indexed in WoS from 1997 to 2023, highlighting the rapid growth in scholarly output particularly in recent years. This growth mirrors the technological advancements in AI and its expanding applications in financial domains such as risk management, decision-making, and auditing.

Findings: The chapter aims to identify leading researchers, journals, organizations, and countries in AI finance research, investigate geographical research focuses, uncover key keywords and research clusters, and delve into the conceptual, social, and intellectual foundations of primary research publications.

Practical Implications: Despite its strengths, the study provides valuable insights and a foundation for future research to explore alternative metrics and qualitative content analyses, aiming to offer deeper insights into the impact of AI on finance.

This paper aims to investigate the relationship between the proprietary costs of financial reporting and the comparability of financial statements with the interactive role of information asymmetry.

Data were selected from the information of all the listed companies on the Tehran stock exchange from 2011 to 2021, based on 781 observations. A multiple regression model is used to analyze data.

Results convey a significant relationship between proprietary costs of financial reporting and comparability of financial statements. Furthermore, information asymmetry has a significant impact on the relationship between proprietary costs of financial reporting and the comparability of financial statements.

Unlike previous studies, this study applies future dependent variables and the residual of dependent and independent variables in the additional analyses, which support the primary hypotheses.

This study aims to provide empirical evidence to verify the dimensional structure of artificial intelligence (AI) Chatbot quality and examine the impact of these dimensions on consumer satisfaction and brand advocacy among Gen Z in the fast food industry in Egypt.

The empirical data was obtained with an electronic self-administered survey instrument from 397 young consumers who had prior experience using AI Chatbots across multiple fast food brands in Egypt. Structural equation modeling was used to analyze the formulated hypotheses.

The results showed that AI Chatbot quality dimensions, specifically information authenticity and system compliance, significantly enhance young consumers’ satisfaction. In addition, information authenticity of AI Chatbot quality was observed to wield a significant influence on young consumers’ advocacy. In contrast, an insignificant relationship was noticed between satisfaction and advocacy. Moreover, the mediating role of consumer satisfaction was not established.

Given that Gen Z is more technology savvy and computer literate, marketers and practitioners of fast food brands should invest in AI tools to respond to young consumers’ expectations and improve their perception of their services.

This study uses stimulus-organism-response theory to understand the mediating effect of young consumers’ satisfaction in the relationship between AI Chatbot quality and consumer brand advocacy within the fast food industry. Also, it introduced two novel main constructs of AI Chatbot quality, namely, information authenticity and system compliance.