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To update the research priorities, this study aims to propose a roadmap to researchers who are interested in the marketing/entrepreneurship interface (MEI) and stimulate research by providing an agenda through a synthesis of the collective wisdom of the scholars in the field.

A-multi-stage data collection using questionnaires and interviews is used in this study. Multiple rounds of interviews spanning three Global Research Conferences on Marketing and Entrepreneurship (GRCME), followed by a survey seeking input from the attendees of these events and the members of the Entrepreneurial Marketing SIG of the American Marketing Association, were used in developing the proposed research priorities.

A comprehensive list of research priorities was developed categorizing them in terms of importance and level of interest. The list is a product of the collective wisdom of the field, distilled from several rounds of interviews and from a thorough analysis of the participants’ input to a comprehensive survey.

The current research provides scholars with MEI research priorities for 2023–2026.

This study investigates two important research questions. First, does YouTube advertising create value for customers to activate their inspired-by state (motivation), or does customer engagement in advertised brands have a mediating role? Second, does the inspired-by state influence customers’ inspired-to state (action) to purchase the advertised brand?

This study employs Ducoffe’s advertising value model to investigate how customers’ engagement mediates perceived advertising value and their inspired-by state. The authors split customer inspiration into two primary states: inspired-by (i.e. the early interest in taking action) and inspired-to (i.e. the intention to act), demonstrating that the latter is positively influenced by the former. The study employs SmartPLS V3.2.9 to analyze survey data from 360 respondents in Pakistan – an emerging market.

This study found that informativeness, entertainment, creativity and incentives exerted a significant positive impact on perceived advertising value. The perceived advertising value of YouTube ads fails to influence customers’ inspired-by state directly; however, customer engagement positively mediates the relationship between the perceived advertising value of YouTube and customers’ inspired-by state. Finally, the customers’ inspired-by state is successfully converted into an inspired-to state.

This study has numerous practical implications for advertisers and marketers seeking to optimize social media advertising and marketing performance.

YouTube ads shape consumer behavior, empowering informed choices; authentic engagement transforms the advertising landscape.

This study is the first to examine the perceived advertising value of YouTube ads for eliciting customers’ inspired-by state, assessing the mediating role of customer engagement as a mechanism. Moreover, the authors examine the role of customers’ inspired-by state as a predictor of the inspired-to state.

This study aims to demonstrate the impact of Sharia-compliance (SC) on attracting various types of investment, including foreign, family, institutional, royal, government and large individual investments.

The sample comprises 168 nonfinancial companies listed in the financial markets of the Gulf Cooperation Council (GCC) countries from 2009 to 2019, totaling 1,848 observations. The researchers used the ordinary least squares panel data method, with additional tests conducted using the two-stage least squares method.

The results indicate a negative relationship between SC and both foreign and institutional investments. Conversely, there is a positive relationship between SC and both family investment and large individual investor investment. Furthermore, the study found no significant relationship between SC and both government and royal investments (RIs).

The study enhances understanding of the role of Sharia-compliant companies in attracting investment. For managers of such companies, there is a need to make their firms more appealing to diverse investor types. Current and potential investors in Sharia-compliant companies should be aware of the investor nature controlling these companies. This study is beneficial for policymakers and regulators to assess the impact of Islamic Sharia-imposed restrictions on financial decision-making in companies. Policymakers should develop and monitor indicators of companies’ adherence to SC law in the six GCC countries and should also issue rules to enhance Sharia-compliant companies’ commitment to governance and transparency.

To the best of the authors’ knowledge, this study is the first of its kind to address the impact of SC on attracting different investment types. It includes six distinct investment types, notably RI, a significant variable in GCC countries’ business environment due to the considerable wealth and influence of royal family members.

In India, 52% of e-commerce consumers actively engage in hyperlocal commerce, representing a substantial increase in online purchasing and hyperlocal services over the past two years. How individuals discover, select, and acquire products and services has been significantly altered due to the COVID-19 pandemic. Digital payments and contactless deliveries have become indispensable in the current dynamic environment, affording consumers enhanced security and convenience. Radio-frequency identification (RFID) technology has enabled the widespread adoption of contactless payments, including Europay, MasterCard, and Visa (EMV) chip cards, which eliminate the need for customers to swipe their cards during physical transactions. Particularly in the fast food, pharmaceutical, and supermarket industries, the symbiotic relationship between e-commerce and contactless payments has experienced significant expansion in India. This chapter investigates the synergies between cashless, contactless, and autonomous purchasing in the digital age. This research examines these technologies’ reciprocal reinforcement and interconnections, focusing on their profound influence on retail transactions and purchasing experiences. The progressive development of payment systems is evidenced by the expanding prevalence of contactless transactions, facilitated by innovations such as the “tap to pay” feature partnership between Paytm and Kotak Mahindra. The year 2023 is anticipated to witness several significant developments, including the expansion of virtual retail, the push for contactless transactions, and the establishment of initiatives such as the open network for digital commerce. The range of applications for frictionless, contactless, and autonomous shopping is extensive, encompassing mobile payment applications such as Apple Pay and Google Pay and proprietary apps developed by retailers to enhance the purchasing experience.

Identifying autism spectrum disorder (ASD) in children’s early years significantly impacts their academic performance and future life. It allows them to receive special support services and the required early intervention. Preschool teachers spend considerable time with their students, which allows them to observe their behaviors in different settings like classrooms and playgrounds. However, teachers need to be knowledgeable of ASD early assessment to detect them. Whereas, all well-known ASD assessment tools are designed for populations from different cultures than the Gulf Cooperation Councils' (GCC) culture. This study emphasizes the importance of preschool age, from 3 to 5, in indicating children's early signs of ASD. This paper aims to indicate the early signs of ASD in preschool children in the UAE as a model for other GCC countries.

A qualitative method consisting of interviews with preschool teachers and the ASD children’s parents was conducted to investigate the ASD early symptoms in children.

The findings of the study show that there is a direct connection between the opinions expressed by preschool teachers and the parents of children with ASD (Autism Spectrum Disorder). These results also highlight the presence of early indications of ASD among preschool-aged children in the United Arab Emirates, such as difficulties in communication, repetitive actions, delayed speech, excessive focus on tablets, trouble paying attention, hyperactivity, sleep problems, and aggressive behavior.

The outcomes suggest a strong connection between the feedback from preschool teachers and the parents of children with ASD. The study uncovers initial indications of ASD in preschool-aged children from the United Arab Emirates, such as difficulties in communication, repetitive actions, delayed speech, excessive fascination with tablets, problems with attention, hyperactivity, sleep disturbances, and aggressive behavior.

This paper aims to investigate the efficiency and performance of the Islamic banking industry amid the COVID-19 pandemic.

The authors used a two-stage data envelopment analysis to first estimate the efficiency of 78 Islamic banks (IBs) across 15 countries for the 2005–2020 period (a total of 782 bank-year observations) and then to examine their determinants, including the COVID-19 pandemic.

The authors found that the Islamic banking industry performed at a moderate level during the 2005–2020 period, providing evidence that IBs are resilient to the financial shocks created by COVID-19. The authors also found that bank-level characteristics (such as bank size) and country-level characteristics (such as inflation) can contribute to the bank’s operational efficiency.

The results of this study suggested that banking management and government macroeconomic policy, especially in terms of precautions and continuous support, are important for IBs to improve their performance.

To the best of the authors’ knowledge, this is the first study to examine the efficiency and performance of IBs amid COVID-19.

In the era of artificial intelligence, natural language processing (NLP) models are revolutionizing numerous sectors. This research aims to explore the perceived value of them among university students. In particular, it aims to investigate how gender may influence students’ intention to use these models in educational contexts, highlighting potentially significant differences that could inform the implementation and adoption of educational technologies.

This study investigates the relationship between perceived value and students' intention to adopt NLP models, considering gender as a moderator. The research involves 562 students from the University of Salerno, in Italy, and uses confirmatory factor analysis to evaluate the reliability and validity of the measurement scales. A regression model with robust errors is used to explore the moderating role of gender on the relationship between perceived value and intentions of use of NLP models.

The results reveal a significant positive association between perceived value and intention to use NLP models, confirming that students with higher perceived value are more likely to adopt these technologies. Furthermore, gender moderates this relationship, indicating that females are less prone to use NLP models than male counterparts.

Research takes on a significant role in the academic field, underlining the importance of adapting teaching practices to the increasingly widespread digitalization. The inclusion of NLP models in university programs emerges as a possible improvement of the learning experience, ensuring cutting-edge education in tune with the needs of the digital society.

To improve the thermal performance of base fluid, nanoparticles of three types are dispersed in the base fluid. A novel theory of non-Fourier heat transfer is used for design and development of models. The thermal performance of sample fluids is compared to determine which types of combination of nanoparticles are the best for an optimized enhancement in thermal performance of fluids. This article aims to: (i) investigate the impact of nanoparticles on thermal performance; and (ii) implement the Galerkin finite element method (GFEM) to thermal problems.

The mathematical models are developed using novel non-Fourier heat flux theory, conservation laws of computational fluid dynamics (CFD) and no-slip thermal boundary conditions. The models are approximated using thermal boundary layer approximations, and transformed models are solved numerically using GFEM. A grid-sensitivity test is performed. The accuracy, correction and stability of solutions is ensured. The numerical method adopted for the calculations is validated with published data. Quantities of engineering interest, i.e. wall shear stress, wall mass flow rate and wall heat flux, are calculated and examined versus emerging rheological parameters and thermal relaxation time.

The thermal relaxation time measures the ability of a fluid to restore its original thermal state, called thermal equilibrium and therefore, simulations have shown that the thermal relaxation time associated with a mono nanofluid has the most substantial effect on the temperature of fluid, whereas a ternary nanofluid has the smallest thermal relaxation time. A ternary nanofluid has a wider thermal boundary thickness in comparison with base and di- and mono nanofluids. The wall heat flux (in the case of the ternary nanofluids) has the most significant value compared with the wall shear stresses for the mono and hybrid nanofluids. The wall heat and mass fluxes have the highest values for the case of non-Fourier heat and mass diffusion compared to the case of Fourier heat and mass transfer.

An extensive literature review reveals that no study has considered thermal and concentration memory effects on transport mechanisms in fluids of cross-rheological liquid using novel theory of heat and mass [presented by Cattaneo (Cattaneo, 1958) and Christov (Christov, 2009)] so far. Moreover, the finite element method for coupled and nonlinear CFD problems has not been implemented so far. To the best of the authors’ knowledge for the first time, the dynamics of wall heat flow rate and mass flow rate under simultaneous effects of thermal and solute relaxation times, Ohmic dissipation and first-order chemical reactions are studied.

The purpose of this study is to examine the associations between board size, board independence and triple bottom line (TBL) reporting. The TBL report consists of three components, namely, environmental, social and economic indices.

This study’s sample consists of top 50 listed companies from the year 2017 to 2019 on Tadawul Stock Exchange. Ordinary least squares, quantile least squares and robust least squares are used to investigate the associations between board characteristics and TBL reporting, including its separate components.

The authors find a significant negative association between TBL reporting and board independence. Social bottom line is significantly and negatively related to board size and board independence. Results indicate that board independence negatively influences the TBL disclosure of companies. Therefore, companies are encouraged to embrace TBL reporting. This suggests that businesses should improve the quality of their reporting while ensuring that voluntary disclosures reflect an accurate and fair view in order to preserve a positive relationship with stakeholders.

The present study explains the evidence for the determinants of the TBL in Saudi Arabia.